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Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Consumer Vehicle Choice Model Documentation  

SciTech Connect (OSTI)

In response to the Fuel Economy and Greenhouse Gas (GHG) emissions standards, automobile manufacturers will need to adopt new technologies to improve the fuel economy of their vehicles and to reduce the overall GHG emissions of their fleets. The U.S. Environmental Protection Agency (EPA) has developed the Optimization Model for reducing GHGs from Automobiles (OMEGA) to estimate the costs and benefits of meeting GHG emission standards through different technology packages. However, the model does not simulate the impact that increased technology costs will have on vehicle sales or on consumer surplus. As the model documentation states, “While OMEGA incorporates functions which generally minimize the cost of meeting a specified carbon dioxide (CO2) target, it is not an economic simulation model which adjusts vehicle sales in response to the cost of the technology added to each vehicle.” Changes in the mix of vehicles sold, caused by the costs and benefits of added fuel economy technologies, could make it easier or more difficult for manufacturers to meet fuel economy and emissions standards, and impacts on consumer surplus could raise the costs or augment the benefits of the standards. Because the OMEGA model does not presently estimate such impacts, the EPA is investigating the feasibility of developing an adjunct to the OMEGA model to make such estimates. This project is an effort to develop and test a candidate model. The project statement of work spells out the key functional requirements for the new model.

Liu, Changzheng [ORNL] [ORNL; Greene, David L [ORNL] [ORNL

2012-08-01T23:59:59.000Z

2

TAFV Alternative Fuels and Vehicles Choice Model Documentation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

34 34 ORNL/TM-2001/134 TAFV Alternative Fuels and TAFV Alternative Fuels and Vehicles Choice Model Vehicles Choice Model Documentation Documentation July 2001 David L. Greene David L. Greene Corporate Fellow Corporate Fellow DOCUMENT AVAILABILITY Reports produced after January 1, 1996, are generally available free via the U.S. Department of Energy (DOE) Information Bridge: Web site: http://www.osti.gov/bridge Reports produced before January 1, 1996, may be purchased by members of the public from the following source: National Technical Information Service 5285 Port Royal Road Springfield, VA 22161 Telephone: 703-605-6000 (1-800-553-6847) TDD: 703-487-4639 Fax: 703-605-6900 E-mail: info@ntis.fedworld.gov Web site: http://www.ntis.gov/support/ordernowabout.htm Reports are available to DOE employees, DOE contractors, Energy Technology Data Exchange

3

Vehicle Technologies Office Merit Review 2014: ParaChoice: Parametric Vehicle Choice Modeling  

Broader source: Energy.gov [DOE]

Presentation given by Sandia National Laboratories at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about parametric...

4

Flexible Fuel Vehicles: Providing a Renewable Fuel Choice, Vehicle...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Flexible Fuel Vehicles: Providing a Renewable Fuel Choice, Vehicle Technologies Program (VTP) (Fact Sheet) Flexible Fuel Vehicles: Providing a Renewable Fuel Choice, Vehicle...

5

Vehicle Technologies Office Merit Review 2014: Consumer-Segmented Vehicle Choice Modeling: the MA3T Model  

Broader source: Energy.gov [DOE]

Presentation given by Oak Ridge National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about consumer...

6

EIA-DOE Vehicle Choice and Markets Technical Workshop  

U.S. Energy Information Administration (EIA) Indexed Site

DOE Vehicle Choice and Markets Technical Workshop 1 DOE Vehicle Choice and Markets Technical Workshop 1 January 2013 EIA-DOE Vehicle Choice and Markets Technical Workshop Meeting Summary The Department of Energy (DOE) and Energy Information Administration (EIA) held a workshop on January 25th, 2013 in Detroit, MI with marketing and automotive industry experts to discuss and better understand consumer acceptance of hybrid, plug-in hybrid, and battery electric vehicles. The workshop focused on recent survey analyses, market representation, state of the art modeling, and comparisons of projected model results. This event provided a rare and insightful opportunity to compare and contrast our understanding and representation of vehicle markets and vehicle choice modeling with our nation's automotive leaders to assure that EIA's future projections and policy

7

A Transaction Choice Model for Forecasting Demand for Alternative-Fuel Vehicles  

E-Print Network [OSTI]

Forecasting Demand Alternative-Fuel Vehicles for DavldNG DEMANDFOR ALTERNATIVE-FUEL VEHICLES DavidBrownstone,interested in promoting alternative-fuel vehicles. Tl’us is

Brownstone, David; Bunch, David S.; Golob, Thomas F.; Ren, Weiping

1996-01-01T23:59:59.000Z

8

A Transactions Choice Model for Forecasting Demand for Alternative-Fuel Vehicles  

E-Print Network [OSTI]

Forecasting Demand Alternative-Fuel Vehicles for DavldNG DEMANDFOR ALTERNATIVE-FUEL VEHICLES DavidBrownstone,interested in promoting alternative-fuel vehicles. Tl’us is

Brownstone, David; Bunch, David S; Golob, Thomas F; Ren, Weiping

1996-01-01T23:59:59.000Z

9

Determinants of alternative fuel vehicle choice in the continental United States.  

SciTech Connect (OSTI)

This paper describes the ongoing investigation into the determinants of alternative fuel vehicle choice. A stated preference vehicle choice survey was conducted for the 47 of the continental U.S. states, excluding California. The national survey is based on and is an extension of previous studies on alternative fuel vehicle choice for the State of California conducted by the University of California's Institute of Transportation Studies (UC ITS). Researchers at UC ITS have used the stated-preference national survey to produce a series of estimates for new vehicle choice models. Three of these models are presented in this paper. The first two of the models were estimated using only the data from the national survey. The third model presented in this paper pools information from the national and California surveys to estimate a true national model for new vehicle choice.

Tompkins, M.

1997-12-18T23:59:59.000Z

10

A joint model for vehicle type and fuel type choice: evidence from a cross-nested logit study  

Science Journals Connector (OSTI)

Growing environmental concerns and oil price volatility have led to increasing interest in the potential demand for alternative fuel vehicles. Dedicated fuel vehicles such as EV and CNG vehicles use only the alte...

Stephane Hess; Mark Fowler; Thomas Adler; Aniss Bahreinian

2012-05-01T23:59:59.000Z

11

An Empirical Study of Alternative Fuel Vehicle Choice by Commercial Fleets: Lessons in Transportation Choices, and Public Agencies' Organization  

E-Print Network [OSTI]

1990). “The Economics of Alternative Fuel Use: SubstitutingAn Empirical Study of Alternative Fuel Vehicle Choice byFleet Demand for Alternative-Fuel Vehicles,” with T. Golob,

Crane, Soheila Soltani

1996-01-01T23:59:59.000Z

12

Vehicle type choice under the influence of a tax reform and rising fuel prices  

Science Journals Connector (OSTI)

Abstract Differentiated vehicle taxes are considered by many a useful tool for promoting environmentally friendly vehicles. Various structures have been implemented in several countries, e.g. Ireland, France, The Czech Republic, and Denmark. In many countries the tax reforms have been followed by a steep change in new vehicle purchases toward more diesel vehicles and more fuel-efficient vehicles. The paper analyses to what extent a vehicle tax reform similar to the Danish 2007 reform may explain changes in purchasing behaviour. The paper investigates the effects of a tax reform, fuel price changes, and technological development on vehicle type choice using a mixed logit model. The model allows a simulation of the effect of car price changes that resemble those induced by the tax reform. This effect is compared to the effects of fuel price changes and technology improvements. The simulations show that the effect of the tax reform on fuel efficiency is similar to the effect of rising fuel prices while the effect of technological development is much larger. The conclusion is that while the tax reform appeared in the same year as a large increase in fuel efficiency, it seems likely that it only explains a small part of the shift in fuel efficiency that occurred and that the main driver was the technological development.

Stefan L. Mabit

2014-01-01T23:59:59.000Z

13

Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany  

Science Journals Connector (OSTI)

With respect to the German goal of a transition to a lead market for electromobility within a short time period, this paper empirically examines the preferences for alternative energy sources or propulsion technologies in vehicles and particularly for electric vehicles. The data stem from a stated preference discrete choice experiment with 598 potential German car buyers. In order to simulate a realistic future purchase situation, seven vehicle types were incorporated in each of the six choice sets, i.e. hybrid, gas, biofuel, hydrogen, and electric vehicles besides common gasoline and diesel vehicles. The econometric analysis with flexible multinomial probit models reveals that potential car buyers in Germany currently have a low stated preference for electric, hydrogen, and hybrid vehicles. While our paper also discusses the impact of common vehicle attributes such as purchase price or service station availability, it particularly considers the effect of socio-demographic and environmental awareness variables. The estimation results reveal that younger potential car buyers have a higher stated preference for hydrogen and electric vehicles, males have a higher stated choice of hydrogen vehicles, and environmentally aware potential car buyers have a higher stated preference for hydrogen and electric vehicles. These results suggest that common policy instruments such as the promotion of research and development, taxation, or subsidization in the field of electromobility could be supplemented by strategies to increase the social acceptance of alternative vehicle types that are directly oriented to these population groups. Methodologically, our study highlights the importance of the inclusion of taste persistence across the choice sets and a high number of random draws in the Geweke–Hajivassiliou–Keane simulator in the simulated maximum likelihood estimation of the multinomial probit models.

Andreas Ziegler

2012-01-01T23:59:59.000Z

14

Operator Choice Modeling for Collaborative UAV Visual Search Tasks  

E-Print Network [OSTI]

Operator Choice Modeling for Collaborative UAV Visual Search Tasks Luca F. Bertuccelli Member, IEEE, and Mary L. Cummings Senior Member, IEEE Abstract--Unmanned Aerial Vehicles (UAVs) provide unprece- dented is expected to increase with envisaged future missions of one operator controlling mul- tiple UAVs

Cummings, Mary "Missy"

15

Social Choice Theory Decision Models with Multiple Criteria  

E-Print Network [OSTI]

Social Choice Theory Decision Models with Multiple Criteria Elise Bonzon 2013-2014 LIPADE / 39 Social Choice Theory #12;Social choice theory Social choice theory Research of a mechanism Choice Theory #12;Social choice theory Social choice theory Research of a mechanism (electoral system

Bonzon, Elise

16

Vehicle Modeling and Simulation  

Broader source: Energy.gov [DOE]

Presentation from the U.S. DOE Office of Vehicle Technologies "Mega" Merit Review 2008 on February 25, 2008 in Bethesda, Maryland.

17

New Vehicle Choice, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and the Gasoline Tax  

E-Print Network [OSTI]

D. (1985), 'The market share of diesel cars in the USA,diesel passenger cars. Models exploring automotive demand have been aggregate, predicting vehicle market

Martin, Elliott William

2009-01-01T23:59:59.000Z

18

New Vehicle Choices, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and Gasoline Tax  

E-Print Network [OSTI]

D. (1985), 'The market share of diesel cars in the USA,diesel passenger cars. Models exploring automotive demand have been aggregate, predicting vehicle market

Martin, Elliot William

2009-01-01T23:59:59.000Z

19

Aggregate vehicle travel forecasting model  

SciTech Connect (OSTI)

This report describes a model for forecasting total US highway travel by all vehicle types, and its implementation in the form of a personal computer program. The model comprises a short-run, econometrically-based module for forecasting through the year 2000, as well as a structural, scenario-based longer term module for forecasting through 2030. The short-term module is driven primarily by economic variables. It includes a detailed vehicle stock model and permits the estimation of fuel use as well as vehicle travel. The longer-tenn module depends on demographic factors to a greater extent, but also on trends in key parameters such as vehicle load factors, and the dematerialization of GNP. Both passenger and freight vehicle movements are accounted for in both modules. The model has been implemented as a compiled program in the Fox-Pro database management system operating in the Windows environment.

Greene, D.L.; Chin, Shih-Miao; Gibson, R. [Tennessee Univ., Knoxville, TN (United States)

1995-05-01T23:59:59.000Z

20

Flexible Fuel Vehicles: Providing a Renewable Fuel Choice, Vehicle Technologies Program (VTP) (Fact Sheet)  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

an FFV? an FFV? An FFV, as its name implies, has the flex- ibility of running on more than one type of fuel. FFVs can be fueled with unleaded gasoline, E85, or any combination of the two. Like conventional gasoline vehicles, FFVs have a single fuel tank, fuel system, and engine. And they are available in a wide range of models such as sedans, pickups, and minivans. Light-duty FFVs are designed to operate with at least 15% gasoline in the fuel, mainly to ensure they start in cold weather. FFVs are equipped with modified components designed specifically to be compatible with ethanol's chemical properties. In the illustration on the back, the main modifications for FFVs are

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Choice modeling of relook tasks for UAV search missions  

E-Print Network [OSTI]

This paper addresses human decision-making in supervisory control of a team of unmanned vehicles performing search missions. Previous work has proposed the use of a two-alternative choice framework, in which operators ...

Bertuccelli, Luca F.

22

Vehicle Technologies Office: Modeling, Testing and Analysis  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Modeling, Testing and Modeling, Testing and Analysis to someone by E-mail Share Vehicle Technologies Office: Modeling, Testing and Analysis on Facebook Tweet about Vehicle Technologies Office: Modeling, Testing and Analysis on Twitter Bookmark Vehicle Technologies Office: Modeling, Testing and Analysis on Google Bookmark Vehicle Technologies Office: Modeling, Testing and Analysis on Delicious Rank Vehicle Technologies Office: Modeling, Testing and Analysis on Digg Find More places to share Vehicle Technologies Office: Modeling, Testing and Analysis on AddThis.com... Goals Research & Development Testing and Analysis Workplace Charging Community and Fleet Readiness Workforce Development Plug-in Electric Vehicle Basics Modeling, Testing and Analysis The Vehicle Technologies Office's robust portfolio is supported by

23

Hybrid Electric Vehicles - HEV Modeling  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Modeling Modeling Background Because of time and cost constraints, designers cannot build and test each of the many possible powertrain configurations for advanced vehicles. Thus, developing fuel cells and hybrid electric vehicles (HEVs) requires accurate, flexible simulation tools. Argonne undertook a collaborative effort to further develop Autonomie in collaboration with General Motors. Autonomie is sponsored by the U.S. Department of Energy (DOE) Vehicle Technologies Program. Autonomie is a Plug-and-Play Powertrain and Vehicle Model Architecture and Development Environment to support the rapid evaluation of new powertrain/propulsion technologies for improving fuel economy through virtual design and analysis in a math-based simulation environment. Autonomie is an open architecture to support the rapid integration and analysis of powertrain/propulsion systems and technologies for rapid technology sorting and evaluation of fuel economy improvement under dynamic/transient testing conditions. The capability to sort technologies rapidly in a virtual design environment results in faster improvements in real-world fuel consumption by reducing the time necessary to develop and bring new technologies onto our roads.

24

Renewable Fuel Vehicle Modeling and Analysis | Department of...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Renewable Fuel Vehicle Modeling and Analysis Renewable Fuel Vehicle Modeling and Analysis 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer...

25

AVTA Vehicle Component Cost Model | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Vehicle Component Cost Model AVTA Vehicle Component Cost Model 2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010...

26

Vehicle Technologies Office Merit Review 2014: Emissions Modeling...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Feedstocks Vehicles Home About Vehicle Technologies Office Plug-in Electric Vehicles & Batteries Fuel Efficiency & Emissions Alternative Fuels Modeling, Testing, Data & Results...

27

NREL: Vehicle Ancillary Loads Reduction - Integrated Modeling  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Integrated Modeling Integrated Modeling NREL's Vehicle Ancillary Loads Reduction (VALR) team predicts the impact of advanced vehicle cooling technologies before testing by using an integrated modeling process. Evaluating the heat load on a vehicle under real world conditions is a difficult task. An accepted method to evaluate passenger compartment airflow and heat transfer is computational fluid dynamics. (CFD). Combining analytical models with CFD provides a powerful tool to assist industry both on current vehicles and on future design studies. Flow chart showing the vehicle integrated modeling process which considers solar radiation, air conditioning, and vehicles with CAD, glazing, cabin thermal/fluid, and thermal comfort modeling tools. Results are provided for fuel economy, tailpipe emissions and occupant thermal comfort.

28

Applications of formal model choice to archaeological chronology building  

E-Print Network [OSTI]

Applications of formal model choice to archaeological chronology building Sujit K. Sahu, Faculty several sources must be drawn together. Di#11;erent statistical models may, however, provide widely di#11-constructions of archaeological past using di#11;erent models. Bayesian predictive model choice criteria can be used as possible

Sahu, Sujit K

29

Vehicle Technologies Office: Modeling, Testing and Analysis  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Modeling, Testing and Analysis Modeling, Testing and Analysis The Vehicle Technologies Office's robust portfolio is supported by modeling, testing, and analysis. This work complements the research on batteries, power electronics, and materials, helping researchers integrate these components and ensure the whole vehicle meets consumer and commercial needs. Modeling allows researchers to build "virtual vehicles" that simulate fuel economy, emissions and performance of a potential vehicle. The Office has supported the development of several software-based analytic tools that researchers can use or license. Integration and Validation allows researchers to test physical component and subsystem prototypes as if they are in a real vehicle. Laboratory and Fleet Testing provides data on PEVs through both dynamometer and on-the-road testing. Researchers use the data to benchmark current vehicles, as well as validate the accuracy of software models.

30

Topology-Based Vehicle Systems Modelling.  

E-Print Network [OSTI]

??The simulation tools that are used to model vehicle systems have not been advancing as quickly as the growth of research and technology surrounding the… (more)

Yam, Edward

2013-01-01T23:59:59.000Z

31

Heavy Duty Vehicle Modeling & Simulation  

Broader source: Energy.gov [DOE]

2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C.

32

Model Year 2013: Alternative Fuel Vehicles and Advanced Technology Vehicles  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

13: Alternative Fuel and Advanced Technology Vehicles 13: Alternative Fuel and Advanced Technology Vehicles 1 (Updated 3/6/13) 1 Source: http:/afdc.energy.gov/vehicles/search/light/ Fuel/Powertrain Type Make Model Vehicle Type Engine Size/Cylinders Transmission Emissions Class 2 Fuel Economy Gasoline 3,4 City/Hwy Fuel Economy Alt Fuel 3,4 City/Hwy HEV Acura ILX Sedan 1.5L I4 ECVT Tier 2 Bin 3 LEVII PZEV 39 / 38 N/A FFV E85 Audi A4 Sedan 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 29 14 / 20 FFV E85 Audi A5 Sedan 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 29 14 / 20 FFV E85 Audi A5 Cabriolet Sedan 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 29 14 / 20 FFV E85 Audi Allroad Quatro Wagon 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 27 14 / 18 FFV E85 Audi Q5 SUV 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 28 14 / 19 HEV Audi Q5 Hybrid SUV 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 24 / 30 N/A FFV E85 Bentley

33

Integrated Mathematical Modeling Software Series of Vehicle Propulsion...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Mathematical Modeling Software Series of Vehicle Propulsion System: (1) Tractive Effort (T sub ew) of Vehicle Road WheelTrack Sprocket Integrated Mathematical Modeling Software...

34

Autonomie Modeling Tool Improves Vehicle Design and Testing,...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel Economy Standards Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel...

35

Fact #814: January 27, 2014 More Choices when Buying Vehicles that Use Advanced Technology and Alternative Fuels  

Broader source: Energy.gov [DOE]

The number of models and types of alternative fuel vehicles produced by manufacturers has varied considerably over the last 22 years. In 1991, there were a total of 19 models available that did not...

36

Understanding the Effect of Baseline Modeling Implementation Choices on  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Understanding the Effect of Baseline Modeling Implementation Choices on Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance Title Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance Publication Type Conference Paper LBNL Report Number LBNL-5560E Year of Publication 2013 Authors Addy, Nathan, Johanna L. Mathieu, Sila Kiliccote, and Duncan S. Callaway Conference Name ASME 2013 International Mechanical Engineering Congress & Exposition Conference Location Houston, TX Keywords market sectors, technologies Abstract Accurate evaluation of the performance of buildings participating in Demand Response (DR) programs is critical to the adoption and improvement of these programs. Typically, we calculate load sheds during DR events by comparing observed electric demand against counterfactual predictions made using statistical baseline models. Many baseline models exist and these models can produce different shed calculations. Moreover, modelers implementing the same baseline model can make different modeling implementation choices, which may affect shed estimates. In this work, using real data, we analyze the effect of different modeling implementation choices on shed predictions. We focused on five issues: weather data source, resolution of data, methods for determining when buildings are occupied, methods for aligning building data with temperature data, and methods for power outage filtering. Results indicate sensitivity to the weather data source and data filtration methods as well as an immediate potential for automation of methods to choose building occupied modes.

37

DOD/NREL Model Integrates Vehicles, Renewables & Microgrid (Fact Sheet)  

SciTech Connect (OSTI)

Fact sheet on microgrid model created by the Electric Vehicle Grid Integration program at the Fort Carson Army facility.

Not Available

2011-02-01T23:59:59.000Z

38

Modeling and Simulation of Electric and Hybrid Vehicles  

E-Print Network [OSTI]

, and fuel cell vehicles, such as electric machines, power electronics, electronic continuously variableINVITED P A P E R Modeling and Simulation of Electric and Hybrid Vehicles Tools that can model embedded software as well as components, and can automate the details of electric and hybrid vehicle design

Mi, Chunting "Chris"

39

NREL: Vehicle Ancillary Loads Reduction - Physiological Model  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Physiological Model Physiological Model The Vehicle Ancillary Loads Reduction team developed a three-dimensional model to simulate human internal thermal physiological systems (muscle, blood, etc.) and thermoregulatory responses such as metabolic heat generation. The model was developed with ANSYS, a finite element software which computes heat flow by conduction, convection, and mass transport of the blood. A human tissue system model represents the human body, including the physiological and thermal properties of the tissues. The arms and legs consist of bone, muscle, fat, and skin. There are additional lung, abdominal, and brain tissues in the torso and head zones. The model calculates the conduction heat transfer based on the temperature gradients between the tissue nodes. Blood flow is modeled with a network of supply

40

Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model  

Broader source: Energy.gov [DOE]

The number of all light vehicles sold declined about 18% from 2007 to 2008, while the number of hybrid vehicles sold declined about 11%. Five new hybrid models were sold in 2008; other than those,...

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Phenomenological Driving Behavior Model of the Suburban Vehicle-to-Vehicle Propagation Channel at  

E-Print Network [OSTI]

Phenomenological Driving Behavior Model of the Suburban Vehicle-to-Vehicle Propagation Channel at 5 a hierarchical phenomenological model of driving behavior to describe this observation. As an example, we a phenomenological model in a hierarchical manner to describe the expected relative velocity vs. distance of two

Stancil, Daniel D.

42

Model Year 2013 SmartWay Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

SmartWay Vehicles SmartWay Vehicles Updated August 14, 2013* *Vehicles may be added throughout the model year. Please check back for updates. Page 1 of 13 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA ILX 1.5 4 SCV-7 2WD Gasoline FC B3 Federal Tier 2 Bin 3 DHNXV01.5WF2 small car 7 39 38 38 9 yes ACURA ILX 1.5 4 SCV-7 2WD Gasoline FA B2 Federal Tier 2 Bin 2 DHNXV01.5YD2 small car 8 39 38 38 9 yes ACURA ILX 1.5 4 SCV-7 2WD Gasoline CA PZEV California PZEV DHNXV01.5YD2 small car 9 39 38 38 9 yes ACURA ILX 2 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV DHNXV02.0CB2 small car 6 24 35 28 7 yes ACURA TSX 2.4 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV DHNXV02.4DB3 small car 6 22 31 26 7 yes AUDI A3 2 4 AMS-6 2WD Diesel FA B5 Federal Tier 2 Bin 5

43

Model Year 2014 SmartWay Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

SmartWay Vehicles SmartWay Vehicles Updated December 20, 2013* *Vehicles may be added throughout the model year. Please check back for updates. Page 1 of 14 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Smog Rating City MPG Hwy MPG Cmb MPG Greenhouse Gas Rating SmartWay ACURA ILX 1.5 4 SCV-7 2WD Gasoline FA B2 Federal Tier 2 Bin 2 EHNXV01.58D2 small car 9 39 38 38 9 yes ACURA ILX 1.5 4 SCV-7 2WD Gasoline CA PZEV California PZEV EHNXV01.58D2 small car 9 39 38 38 9 yes ACURA ILX 2 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV EHNXV02.0EB3 small car 6 24 35 28 7 yes ACURA RLX 3.5 6 SemiAuto-7 4WD Gasoline FA B3 Federal Tier 2 Bin 3 EHNXV03.52G2 midsize car 7 28 32 30 8 yes ACURA RLX 3.5 6 SemiAuto-7 4WD Gasoline CA L3SULEV30 California LEV-III SULEV30 EHNXV03.52G2 midsize car 8 28 32 30 8 yes ACURA TSX 2.4 4 SemiAuto-5

44

Parameter estimation of a linear vehicle model  

E-Print Network [OSTI]

(1987) . It has already been seen that the discrete-time vehicle model can be described by equation 5. 1 as Y(kr) = Md CdY((k 1)r) Md Rdr((k 2)Y) +ldd SldU((k 1)Y) + Md 82dU((k 1)Y) + N(kr) + Md CdN((k-1)Y) + ldd RdN((k ? 2) Y) A discrete state...-space representation of the model of the form T(k+1) = [F ]T(k) + [G ]U? X(k) = [HQT(k) Y(k) = X(k) + N(k) is now sought. If the state vector I (k) is given by (5. 28) x(k) 1(k) = X(k+1) Md SldU(k) then the state-space model can be described as follows: (5...

Helin, Franz

1990-01-01T23:59:59.000Z

45

Modeling and adaptive control of indoor unmanned aerial vehicles  

E-Print Network [OSTI]

The operation of unmanned aerial vehicles (UAVs) in constrained indoor environments presents many unique challenges in control and planning. This thesis investigates modeling, adaptive control and trajectory optimization ...

Michini, Bernard (Bernard J.)

2009-01-01T23:59:59.000Z

46

Supporting Multidisciplinary Vehicle Analysis Using a Vehicle Reference Architecture Model in SysML  

Science Journals Connector (OSTI)

To develop competitive vehicles with ever increasing complexity, automotive designers need to improve their ability to explore a broad range of system architectures efficiently and effectively. Whereas traditional vehicle systems are based on internal combustion (IC) engines, today's environmentally conscious vehicle manufacturers must consider alternatives to the IC engine- only systems such as hybrid or electric systems. To design a good vehicle, it is necessary to analyze each of these system architectures from a variety of perspectives including performance, fuel economy, or even thermal behavior. Creating all the necessary analysis models for all possible system architectures manually is very time-consuming, expensive, and error-prone. To overcome such challenges, a novel approach has been developed for partly automatically generating subsystem model templates to support the integration of analysis models in a consistent and convenient fashion. The approach starts from a Vehicle Reference Architecture (VRA) model defined in the Systems Modeling Language (OMG SysMLTM). After specialization of this VRA into a specific vehicle program model, this SysML model is automatically transformed into Modelica and Simulink templates for the corresponding analysis models. These templates embody interfaces that fit into a system-level integrated model so that individual subsystem experts can focus on modeling the physical or controls behavior of their particular subsystem without having to worry about subsequent integration issues. The subsystem template models guarantee consistency in the integration phase. The entire approach introduced in this paper is called the Vehicle Architecture Modeling Framework (VAMF), which includes the SysML VRA model, the corresponding analysis templates, and the transformation tools developed to support the approach. Throughout this paper, a specific (realistic but sanitized) vehicle program and a full pedal acceleration analysis test scenario are used as demonstration examples.

Jaclyn M. Branscomb; Christiaan J.J. Paredis; Judy Che; Mark J. Jennings

2013-01-01T23:59:59.000Z

47

VISION Model for Vehicle Technologies and Alternative Fuels | Open Energy  

Open Energy Info (EERE)

VISION Model for Vehicle Technologies and Alternative Fuels VISION Model for Vehicle Technologies and Alternative Fuels Jump to: navigation, search Tool Summary LAUNCH TOOL Name: VISION Model for Vehicle Technologies and Alternative Fuels Agency/Company /Organization: Argonne National Laboratory Sector: Energy Focus Area: Transportation Phase: Create a Vision Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.transportation.anl.gov/modeling_simulation/VISION/ OpenEI Keyword(s): EERE tool, VISION Model for Vehicle Technologies and Alternative Fuels References: The VISION Model [1] Estimate the potential energy use, oil use, and carbon emission impacts of advanced light and heavy-duty vehicle technologies and alternative fuels through 2050. The VISION model has been developed to provide estimates of the potential

48

Heavy Duty Vehicle Modeling and Simulation  

Broader source: Energy.gov [DOE]

2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C.

49

Model Year 2004 SmartWay Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

SmartWay Vehicles SmartWay Vehicles Page 1 of 5 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline FA B5 4HNXV02.0RKC small car 6 21 28 24 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline FA B5 4HNXV02.0XKC small car 6 22 31 25 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline FA B5 4HNXV02.0XKC small car 6 24 30 26 8 yes ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline CA LEV 4HNXV02.0RKC small car 6 21 28 24 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline CA LEV 4HNXV02.0XKC small car 6 22 31 25 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline CA LEV 4HNXV02.0XKC small car 6 24 30 26 8 yes ACURA TL 3.2 (6 cyl) Auto-S5 2WD Gasoline CA U2 4HNXV03.2CKR midsize car 7 18 26 21 6 yes ACURA TL 3.2 (6 cyl) Man-6 2WD Gasoline CA U2 4HNXV03.2CKR midsize car 7 18 28 21 6 yes ACURA TSX 2.4 (4 cyl) Auto-S5

50

Model Year 2005 SmartWay Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

SmartWay Vehicles SmartWay Vehicles Page 1 of 9 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline FA B5 5HNXV02.0HKC small car 6 20 28 23 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline FA B5 5HNXV02.4KBP small car 6 22 31 25 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline FA B5 5HNXV02.4KBP small car 6 24 31 26 8 yes ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline CA L2 5HNXV02.0HKC small car 6 20 28 23 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline CA L2 5HNXV02.4KBP small car 6 22 31 25 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline CA L2 5HNXV02.4KBP small car 6 24 31 26 8 yes ACURA TL 3.2 (6 cyl) Auto-S5 2WD Gasoline CA U2 5HNXV03.24B4 midsize car 7 18 26 21 6 yes ACURA TL 3.2 (6 cyl) Man-6 2WD Gasoline CA U2 5HNXV03.24B4 midsize car 7 18 26 21 6 yes ACURA TSX 2.4 (4 cyl) Auto-S5 2WD

51

Model Year 2002 SmartWay Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

SmartWay Vehicles SmartWay Vehicles Page 1 of 1 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG GHG Score SmartWay ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline CL LEV 2HNXV02.0EKC small car 6 21 28 24 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline CL LEV 2HNXV02.0VBP small car 6 21 30 24 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline CL LEV 2HNXV02.0VBP small car 6 23 30 26 8 yes HONDA Accord 2.3 (4 cyl) Auto-L4 2WD Gasoline CA SLEV 2HNXV02.3FK6 midsize car 9 20 28 23 7 yes HONDA CR-V 2.4 (4 cyl) Auto-L4 2WD Gasoline NF LEV 2HNXT02.4YBP SUV 6 20 26 23 7 yes HONDA Civic 1.7 (4 cyl) Auto-AV 2WD CNG CA SLEV 2HNXV01.74WN small car 9.5 26 31 28 9 yes HONDA Civic 1.7 (4 cyl) Auto-AV 2WD CNG NL+CF ULEV 2HNXV01.74WN small car 9 26 31 28 9 yes HONDA Civic 2 (4 cyl) Man-5 2WD Gasoline CL LEV 2HNXV02.0VBP small car 6 23 28 25 7 yes HONDA Insight 1 (3 cyl)

52

Model Year 2006 SmartWay Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

SmartWay Vehicles SmartWay Vehicles Page 1 of 11 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline FA B5 6HNXV02.0DKC small car 6 20 28 23 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline FA B5 6HNXV02.0DKC small car 6 22 31 25 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline FA B5 6HNXV02.0DKC small car 6 24 31 26 8 yes ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline CA L2 6HNXV02.0DKC small car 6 20 28 23 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline CA L2 6HNXV02.0DKC small car 6 22 31 25 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline CA L2 6HNXV02.0DKC small car 6 24 31 26 8 yes ACURA TL 3.2 (6 cyl) Auto-S5 2WD Gasoline CA U2 6HNXV03.2NKR midsize car 7 18 26 21 6 yes ACURA TL 3.2 (6 cyl) Man-6 2WD Gasoline CA U2 6HNXV03.2NKR midsize car 7 18 26 21 6 yes ACURA TSX 2.4 (4 cyl) Auto-S5 2WD

53

Model Year 2011 SmartWay Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

SmartWay Vehicles SmartWay Vehicles Page 1 of 10 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA TSX 2.4 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV BHNXV02.4DB9 small car 6 22 31 26 6 yes ACURA TSX Wagon 2.4 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV BHNXV02.4DB9 station wagon 6 22 30 25 6 yes AUDI A3 2 4 SemiAuto-6 2WD Diesel CA U2 California LEV-II ULEV BVWXV02.0U5N station wagon 6 30 42 34 7 yes AUDI A3 2 4 SemiAuto-6 2WD Diesel FA B5 Federal Tier 2 Bin 5 BVWXV02.0U5N station wagon 5 30 42 34 7 yes AUDI A4 2 4 Man-6 4WD Gasoline CA U2 California LEV-II ULEV BADXJ02.03UB small car 6 21 31 25 6 yes AUDI A4 2 4 CVT 2WD Gasoline CA U2 California LEV-II ULEV BADXJ02.03UB small car 6 22 30 25 6 yes AUDI A5 2 4 Man-6 4WD Gasoline CA U2 California LEV-II ULEV

54

Model Year 2012 SmartWay Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

SmartWay Vehicles SmartWay Vehicles Page 1 of 14 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA TSX 2.4 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV CHNXV02.4DB9 small car 6 22 31 26 6 yes ACURA TSX Wagon 2.4 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV CHNXV02.4DB9 station wagon 6 22 30 25 6 yes AUDI A3 2 4 SemiAuto-6 2WD Diesel FA B5 Federal Tier 2 Bin 5 CVWXV02.0U5N station wagon 5 30 42 34 7 yes AUDI A3 2 4 SemiAuto-6 2WD Diesel CA U2 California LEV-II ULEV CVWXV02.0U5N station wagon 6 30 42 34 7 yes AUDI A4 2 4 CVT 2WD Gasoline CA U2 California LEV-II ULEV CADXJ02.03UB small car 6 22 30 25 6 yes AUDI A4 2 4 Man-6 4WD Gasoline CA U2 California LEV-II ULEV CADXJ02.03UB small car 6 21 31 25 6 yes AUDI A5 2 4 Man-6 4WD Gasoline CA U2 California LEV-II ULEV

55

Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Modeling Collaboration Modeling Collaboration Is a Win-Win Situation for Vehicle Research to someone by E-mail Share Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation for Vehicle Research on Facebook Tweet about Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation for Vehicle Research on Twitter Bookmark Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation for Vehicle Research on Google Bookmark Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation for Vehicle Research on Delicious Rank Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation for Vehicle Research on Digg Find More places to share Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation for Vehicle Research on AddThis.com...

56

Fuel and Vehicle Technology Choices for Passenger Vehicles in Achieving Stringent CO2 Targets: Connections between Transportation and Other Energy Sectors  

Science Journals Connector (OSTI)

Five fuel options (petroleum, natural gas, synthetic fuels (coal to liquid, CTL; gas to liquid, GTL; biomass to liquid, BTL), electricity, and hydrogen) and five vehicle technologies (ICEV, HEV, BEV, PHEV, and FCV) were considered. ... Petro ICEV, Synth ICEV, NG ICEV, H2 ICEV = internal combustion engine vehicle fueled either by petroleum, synthetic fuel (CTL, GTL, or BTL), natural gas, or gaseous hydrogen; HEV = hybrid electric vehicle; BEV = battery electric vehicle, PHEV = plug-in hybrid electric vehicle; Petro FCV, Synth FCV, H2 FCV = fuel-cell vehicle fueled either by petroleum, synthetic fuel, or gaseous hydrogen. ... In their CO2 reduction scenario (reduction from 1990 of 50% by 2050 and 75% by 2100), the car sector is dominated by gasoline/diesel (first in ICEVs, then HEVs and to a small extent also PHEVs) with hydrogen-fueled FCVs becoming dominant by 2100. ...

M. Grahn; C. Azar; M. I. Williander; J. E. Anderson; S. A. Mueller; T. J. Wallington

2009-03-26T23:59:59.000Z

57

Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

4: September 16, 4: September 16, 2002 2003 Model Year Alternative Fuel Vehicles to someone by E-mail Share Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year Alternative Fuel Vehicles on Facebook Tweet about Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year Alternative Fuel Vehicles on Twitter Bookmark Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year Alternative Fuel Vehicles on Google Bookmark Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year Alternative Fuel Vehicles on Delicious Rank Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year Alternative Fuel Vehicles on Digg Find More places to share Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year Alternative Fuel Vehicles on

58

An agent-based model to study market penetration of plug-in hybrid electric vehicles  

Science Journals Connector (OSTI)

A spatially explicit agent-based vehicle consumer choice model is developed to explore sensitivities and nonlinear interactions between various potential influences on plug-in hybrid vehicle (PHEV) market penetration. The model accounts for spatial and social effects (including threshold effects, homophily, and conformity) and media influences. Preliminary simulations demonstrate how such a model could be used to identify nonlinear interactions among potential leverage points, inform policies affecting PHEV market penetration, and help identify future data collection necessary to more accurately model the system. We examine sensitivity of the model to gasoline prices, to accuracy in estimation of fuel costs, to agent willingness to adopt the PHEV technology, to PHEV purchase price and rebates, to PHEV battery range, and to heuristic values related to gasoline usage. Our simulations indicate that PHEV market penetration could be enhanced significantly by providing consumers with ready estimates of expected lifetime fuel costs associated with different vehicles (e.g., on vehicle stickers), and that increases in gasoline prices could nonlinearly magnify the impact on fleet efficiency. We also infer that a potential synergy from a gasoline tax with proceeds is used to fund research into longer-range lower-cost PHEV batteries.

Margaret J. Eppstein; David K. Grover; Jeffrey S. Marshall; Donna M. Rizzo

2011-01-01T23:59:59.000Z

59

Journal of Transportation Engineering Modelling Automobile Driver's Toll-Lane Choice Behaviour at a Toll Plaza  

E-Print Network [OSTI]

Journal of Transportation Engineering Modelling Automobile Driver's Toll-Lane Choice Behaviour at a Toll Plaza --Manuscript Draft-- Manuscript Number: TEENG-1181R3 Full Title: Modelling Automobile Driver to develop a random utility based discrete multinomial choice model for the behaviour of automobile drivers

Kundu, Debasis

60

An air itinerary choice model based on a mixed RP/SP dataset  

E-Print Network [OSTI]

An air itinerary choice model based on a mixed RP/SP dataset Bilge Atasoy Michel Bierlaire April/SP dataset. The aim of the combination of the two datasets is to exploit the variability of the SP data is modeled as a latent class. In this study we develop an itinerary choice model based on a real dataset

Bierlaire, Michel

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Operator Choice Modeling for Collaborative UAV Visual Search Tasks  

E-Print Network [OSTI]

Unmanned aerial vehicles (UAVs) provide unprecedented access to imagery of possible ground targets of interest in real time. The availability of this imagery is expected to increase with envisaged future missions of one ...

Bertuccelli, Luca F.

62

Operator Choice Modeling for UAV Visual Search Tasks  

E-Print Network [OSTI]

Unmanned aerial vehicles (UAVs) provide unprecedented access to imagery of possible ground targets of interest in real time. The availability of this imagery is expected to increase with envisaged future missions of one ...

Bertuccelli, L.F.

63

Vehicle Technologies Office Merit Review 2014: Alternative Fuel Market Development Program- Forwarding Wisconsin’s Fuel Choice  

Broader source: Energy.gov [DOE]

Presentation given by Wisconsin Department of Administration at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

64

Modeling and Optimization of PEMFC Systems and its Application to Direct Hydrogen Fuel Cell Vehicles  

E-Print Network [OSTI]

a Direct-Hydrogen, Load-Following Fuel Cell Vehicle, SAEversus a Direct-Hydrogen Load-Following Fuel Cell Vehicle,vehicle model of a load-following direct hydrogen fuel cell

Zhao, Hengbing; Burke, Andy

2008-01-01T23:59:59.000Z

65

A Dynamic household Alternative-fuel Vehicle Demand Model Using Stated and Revealed Transaction Information  

E-Print Network [OSTI]

market share for alternative-fuel vehicles drop from thePreferences for Alternative-Fuel Vehicles”, Brownstone DavidA Dynamic Household Alternative-fuel Vehicle Demand Model

Sheng, Hongyan

1999-01-01T23:59:59.000Z

66

Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles  

E-Print Network [OSTI]

ciency (FE) d (L/100 km) Fuel price (FP) d (CAN $ per liter)vehicle, and the relative fuel price. For example, if thefuel ef?ciency at a 150% fuel price, the presented attribute

Axsen, Jonn; Mountain, Dean C.; Jaccard, Mark

2009-01-01T23:59:59.000Z

67

Modeling Individual Choices for Sustainable Mobility: Understanding the Role of the Environment  

E-Print Network [OSTI]

Modeling Individual Choices for Sustainable Mobility: Understanding the Role of the Environment to assessing the role of the environment in individual decisions for sustainable mobility. Many studies related with sustainable mobility have attempted to incorporate the role of environment in individual choices through

Bustamante, Fabián E.

68

Confronting the challenge of hybrid modeling: Using discrete choice models to inform the behavioural parameters of a hybrid model  

E-Print Network [OSTI]

in Industry Sustainability in Industry: Increasing Energy Efficiency, Reducing Emissions Rye Brook, New York of the energy economy hybrid model to produce an integrated model that is both behaviourally realisticConfronting the challenge of hybrid modeling: Using discrete choice models to inform

69

The Continuous Cross-Nested Logit Model: Formulation and Application for Departure Time Choice  

E-Print Network [OSTI]

The Continuous Cross-Nested Logit Model: Formulation and Application for Departure Time Choice modeling, departure time modeling, continuous logit, continuous cross- nested logit, Bayesian estimation usage). In this paper, the continuous cross-nested logit (CCNL) model is introduced. The CCNL model

Kockelman, Kara M.

70

Cost-Effective Choices of Marine Fuels in a Carbon-Constrained World: Results from a Global Energy Model  

Science Journals Connector (OSTI)

Cost-Effective Choices of Marine Fuels in a Carbon-Constrained World: Results from a Global Energy Model ... † Department

Maria Taljegard; Selma Brynolf; Maria Grahn; Karin Andersson; Hannes Johnson

2014-10-06T23:59:59.000Z

71

Modeling Electric Vehicle Benefits Connected to Smart Grids  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Modeling Electric Vehicle Benefits Connected to Smart Grids Modeling Electric Vehicle Benefits Connected to Smart Grids Title Modeling Electric Vehicle Benefits Connected to Smart Grids Publication Type Conference Paper Year of Publication 2011 Authors Stadler, Michael, Chris Marnay, Ratnesh Sharma, Gonçalo Mendes, Maximillian Kloess, Gonçalo Cardoso, Olivier Mégel, and Afzal S. Siddiqui Conference Name 7th IEEE Vehicle Power and Propulsion Conference Date Published 09/2011 Publisher LBNL Conference Location Chicago, IL Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract Connecting electric storage technologies to smartgrids will have substantial implications in building energy systems. Local storage will enable demand response. Mobile storage devices in electric vehicles (EVs) are in direct competition with conventional stationary sources at the building. EVs will change the financial as well as environmental attractiveness of on-site generation (e.g. PV, or fuel cells). In order to examine the impact of EVs on building energy costs and CO2 emissions in 2020, a distributed-energy-resources adoption problem is formulated as a mixed-integer linear program with minimization of annual building energy costs or CO2 emissions. The mixed-integer linear program is applied to a set of 139 different commercial buildings in California and example results as well as the aggregated economic and environmental benefits are reported. The research shows that considering second life of EV batteries might be very beneficial for commercial buildings.

72

Vehicle Technologies Office Merit Review 2014: Vehicle Thermal Systems Modeling in Simulink  

Broader source: Energy.gov [DOE]

Presentation given by Pacific Northwest National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about vehicle...

73

MOBILE6 Vehicle Emission Modeling Software | Open Energy Information  

Open Energy Info (EERE)

MOBILE6 Vehicle Emission Modeling Software MOBILE6 Vehicle Emission Modeling Software Jump to: navigation, search Tool Summary Name: MOBILE6 Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Transportation Topics: GHG inventory Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.epa.gov/oms/m6.htm Cost: Free References: http://www.epa.gov/oms/m6.htm MOBILE6 is an emission factor model for predicting gram per mile emissions of Hydrocarbons (HC), Carbon Monoxide (CO), Nitrogen Oxides (NOx), Carbon Dioxide (CO2), Particulate Matter (PM), and toxics from cars, trucks, and motorcycles under various conditions. MOBILE6 is an emission factor model for predicting gram per mile emissions of Hydrocarbons (HC), Carbon Monoxide (CO), Nitrogen Oxides (NOx), Carbon

74

Vehicle Technologies Office: Hybrid and Vehicle Systems  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Hybrid and Vehicle Hybrid and Vehicle Systems to someone by E-mail Share Vehicle Technologies Office: Hybrid and Vehicle Systems on Facebook Tweet about Vehicle Technologies Office: Hybrid and Vehicle Systems on Twitter Bookmark Vehicle Technologies Office: Hybrid and Vehicle Systems on Google Bookmark Vehicle Technologies Office: Hybrid and Vehicle Systems on Delicious Rank Vehicle Technologies Office: Hybrid and Vehicle Systems on Digg Find More places to share Vehicle Technologies Office: Hybrid and Vehicle Systems on AddThis.com... Just the Basics Hybrid & Vehicle Systems Modeling & Simulation Integration & Validation Benchmarking Parasitic Loss Reduction Propulsion Systems Advanced Vehicle Evaluations Energy Storage Advanced Power Electronics & Electrical Machines

75

Retail Location Choice with Complementary Goods: An Agent-Based Model  

E-Print Network [OSTI]

Retail Location Choice with Complementary Goods: An Agent-Based Model Arthur Huang and David 55455 {huang284,dlevinson}@umn.edu Abstract. This paper models the emergence of retail clusters on a supply chain network comprised of suppliers, retailers, and consumers. Firstly, an agent-based model

Levinson, David M.

76

Multibody Models for Vehicle Accident Reconstruction  

Science Journals Connector (OSTI)

Simplified multibody models can be used to reconstruct accidents involving complex dynamics, particularly, in the first stages of accident investigation, accidents involving motorcycles and pedestrians [1], [2].

Ricardo J. F. Portal; Joăo M. P. Dias

2006-01-01T23:59:59.000Z

77

Modeling Electric Vehicle Benefits Connected to Smart Grids  

E-Print Network [OSTI]

Vehicle Benefits Connected to Smart Grids M. Stadler 1,2,a ,Electric Vehicle Benefits Connected to Smart Grids Michael

Stadler, Michael

2012-01-01T23:59:59.000Z

78

Neural Network Based Energy Storage System Modeling for Hybrid Electric Vehicles  

SciTech Connect (OSTI)

Demonstrates the application of an artificial neural network (ANN) for modeling the energy storage system of a hybrid electric vehicle.

Bhatikar, S. R.; Mahajan, R. L.; Wipke, K.; Johnson, V.

1999-08-01T23:59:59.000Z

79

Modeling designers' color decision processes through emotive choice mapping  

Science Journals Connector (OSTI)

Color selection support systems require a quantitative model of the color design decision-making process in order to support color selection strategies that further the specified goals of the designer without obstructing the unspecified goals. The system ...

Eric W. Cooper; Yuko Ishida; Katsuari Kamei

2005-07-01T23:59:59.000Z

80

A Micro-foundations Model of Dollarization with Network Externalities and Portfolio Choice: The  

E-Print Network [OSTI]

A Micro-foundations Model of Dollarization with Network Externalities and Portfolio Choice 1: In°ation and Dollarization: Bolivia A Micro-foundations Model of Dollarization with Network of hysteresis claim that there are network externalities in transactions. They imply that agents may continue

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Multi-Attribute Choice Model: An Application of the Generalized Nested Logit Model at the Stock-Keeping Unit Level  

Science Journals Connector (OSTI)

This paper proposes an application of the generalized nested logit (GNL) model which is used in transportation science for product choice problems at the stock-keeping unit level. I explain two alternative nestin...

Kei Takahashi

2011-01-01T23:59:59.000Z

82

Construction of a driver-vehicle model and identification of the driver model parameters  

E-Print Network [OSTI]

CONSTRUCTION OF A DRIVER-VEHICLE MODEL AND IDENTIFICATION OF THE DRIVER MODEL PARAMETERS A Thesis by , JEMENG SU Submitted to the Graduate College of Texas A8M University in partial fulfillment of the requiremr nt for the degree of MASTER... OF SCIENCE December 1981 Major Subject: Mechanical Engineering CONSTRUCTION OF A DRIVER-VEHICLE MODEL AND IDENTIFICATION OF THE DRIVER MODEL PARAMETERS A Thesis by JEMENG SU Approved as to style and content by: (Chairman of Committe ) / I...

Su, Jemeng

2012-06-07T23:59:59.000Z

83

Model Year 2006: Alternative Fuel and Advanced Technology Vehicles  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

06: Alternative Fuel and Advanced Technology Vehicles 06: Alternative Fuel and Advanced Technology Vehicles Fuel Type EPAct Compliant? Model Vehicle Type Emission Class Powertrain Fuel Capacity Range American Honda Motor Corporation 888-CCHONDA www.honda.com CNG Dedicated EPAct Yes Civic GX Compact Sedan SULEV Tier 2 Bin II 1.7L, 4-cylinder 8 GGE 200 mi HEV (NiMH) EPAct No Accord Hybrid Sedan ULEV 3.0L V6 144 volt NiMH + 17.1 Gal Gasoline TBD HEV (NiMH) EPAct No Civic Hybrid Sedan CA ULEV 1.3L, 4-cylinder 144 volt NiMH + 13.2 Gal Gasoline TBD HEV (NiMH) EPAct No Insight Two-seater SULEV (CVT model) ULEV (MT model) 1.0L, 3-cylinder 144 volt NiMH + 10.6 Gal Gasoline 636 mi DaimlerChrysler 800-999-FLEET www.fleet.chrysler.com E85 FFV EPAct Yes Dodge Ram Pickup 1500 Series 1 Pickup Tier 2 Bin 10A 4.7L V8 26 Gal 416 mi E85 FFV

84

Modeling effects of vehicle specifications on fuel economy based on engine fuel consumption map and vehicle dynamics  

Science Journals Connector (OSTI)

Abstract The present study conducts a vehicle dynamic modeling of gasoline and diesel vehicles by using the AVL commercial program. 10 passenger vehicles were tested for 7 types of driving modes containing city, express and highway driving mode. The various vehicle data (specifications, fuel consumption map, gear shifting curve data, etc.) were collected and implemented as input data. The calculations were conducted with changing driving modes and vehicle types, and prediction accuracy of the calculation results were validated based on chassis dynamometer test data. In order to increase prediction accuracy for a wide vehicle operating range, some modifications regarding gear shifting was also conducted. From these processes, it is confirmed that the prediction accuracy of fuel efficiency and CO2 emissions shows a strong correlations with test results. After ensuring the accuracy of the calculation result, parametric studies were conducted to reveal correlations between vehicle specifications (e.g., vehicle weight and frontal area) on fuel efficiency and CO2 emissions and check which parameters were highly impact on fuel efficiency.

Yunjung Oh; Junhong Park; Jongtae Lee; Myung Do Eom; Sungwook Park

2014-01-01T23:59:59.000Z

85

Development of a Dynamic Model of a Small High-Speed Autonomous Underwater Vehicle  

E-Print Network [OSTI]

Development of a Dynamic Model of a Small High-Speed Autonomous Underwater Vehicle Haider N. Arafat-- A dynamic model is developed for a small, high- speed autonomous underwater vehicle. The vehicle has manner: 1) Wind angle and angle : From u = V cos , v = V sin sin , and w = V sin cos , we have tan

Virginia Tech

86

Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel Economy Standards  

Office of Energy Efficiency and Renewable Energy (EERE)

Autonomie, an advanced vehicle modeling and design software package created by Argonne National laboratory with EERE support, is helping U.S. auto manufacturers develop the next generation of hybrid and electric vehicles.

87

Fact #765: February 4, 2013 EPA's Top 10 Conventionally-Fueled Vehicles for Model Year 2013  

Broader source: Energy.gov [DOE]

For the 2013 model year, the Toyota Prius and smaller Prius c took the top spot with a combined average of 50 mpg. All vehicles making this list are hybrid vehicles, and six of the ten cars making...

88

Vehicle Level Model and Control Development and Validation Under...  

Broader source: Energy.gov (indexed) [DOE]

Relevance 5 The objective is to develop the entire vehicle thermal management system for advanced electric drive vehicles (EREVs, HEVs, EVs, PHEVs). Additional energy...

89

Plug-In Hybrid Electric Vehicles - PHEV Modeling - Component Technologies  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Technologies Impact on Fuel Efficiency Technologies Impact on Fuel Efficiency One of the main objectives of the U.S. Department of Energy's (DOE's) Plug-in Hybrid Electric Vehicle (PHEV) R&D Plan (2.2Mb pdf) is to "determine component development requirements" through simulation analysis. Overall fuel efficiency is affected by component technologies from a component sizing and efficiency aspect. To properly define component requirements, several technologies for each of the main components (energy storage, engine and electric machines) are being compared at Argonne using PSAT. Per the R&D plan, several Li-ion battery materials are being modeled to evaluate their impacts on fuel efficiency and vehicle mass. Different Power to Energy ratios are being considered to understand the relative impact of power and energy.

90

Richmond Electric Vehicle Initiative Electric Vehicle Readiness...  

Office of Environmental Management (EM)

MO) Vehicles Home About Vehicle Technologies Office Plug-in Electric Vehicles & Batteries Fuel Efficiency & Emissions Alternative Fuels Modeling, Testing, Data & Results Education...

91

Modeling the choice to switch from fuelwood to electricity Implications for giant panda habitat conservation  

E-Print Network [OSTI]

was explained by demographic and electricity factors (price, voltage, and outage frequency). In addition, lowering electricity prices and increasing electricity quality would encourage local residents to switchANALYSIS Modeling the choice to switch from fuelwood to electricity Implications for giant panda

An, Li

92

MODEL-BASED VEHICLE STATE ESTIMATION USING PREVIEWED ROAD GEOMETRY AND NOISY SENSORS  

E-Print Network [OSTI]

to the automotive world. Unfortunately for the designers of vehicle driver assist systems, however, most low- cost states from low-cost sensors remains [2]. In the case of autonomous vehicle guidance or in modeling another sen- sor input to estimate vehicle state. This is a particularly low-cost data source, especially

Brennan, Sean

93

Fact #779: May 13, 2013 EPA's Top Ten Rated Vehicles List for Model Year 2013 is All Electric  

Broader source: Energy.gov [DOE]

The 2013 model year marks the first time when the Environmental Protection Agency's (EPA's) top ten most fuel efficient vehicles list is comprised entirely of electric vehicles. Electric vehicles...

94

Equivalent circuit modeling of hybrid electric vehicle drive train  

E-Print Network [OSTI]

The main goals of the advanced vehicles designer are to improve efficiency, to decrease emissions and to meet customer's requirements. The design of such vehicles is challenging and cannot efficiently be achieved without an appropriate tool...

Routex, Jean-Yves

2012-06-07T23:59:59.000Z

95

Vehicle Technologies Office Merit Review 2014: Atomistic models of LMRNMC Materials  

Broader source: Energy.gov [DOE]

Presentation given by Argonne National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about atomistic models...

96

Vehicle Technologies Office Merit Review 2014: Coupled Hierarchical Models for Thermal, Mechanical, Electrical and Electrochemical Processes  

Broader source: Energy.gov [DOE]

Presentation given by [company name] at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about coupled hierarchical models...

97

Vehicle Technologies Office Merit Review 2014: Model Development and Analysis of Clean & Efficient Engine Combustion  

Broader source: Energy.gov [DOE]

Presentation given by Lawrence Livermore National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about model...

98

Evaluating Indoor Exposure Modeling Alternatives for LCA: A Case Study in the Vehicle Repair Industry  

Science Journals Connector (OSTI)

Evaluating Indoor Exposure Modeling Alternatives for LCA: A Case Study in the Vehicle Repair Industry ... Alternatives for modeling occupational exposure in LCA are evaluated using experimental monitoring data in the vehicle-repair industry. ... In addition to their use in occupational hygiene, exposure models may also be applied in environmental assessments, such as risk assessment (RA) and life-cycle assessment (LCA). ...

Evangelia Demou; Stefanie Hellweg; Michael P. Wilson; S. Katharine Hammond; Thomas E. McKone

2009-06-25T23:59:59.000Z

99

Fleet-averaged engine matrices for Australian vehicles and their use in fuel economy modelling  

Science Journals Connector (OSTI)

Data obtained during standard chassis dynamometer testing at the University of Sydney is used to produce an engine fuel consumption matrix for the test vehicle. The matrix includes the effect of engine operational transients and is presented in a generalised engine parameter form which allows comparisons between dissimilar vehicles. A sufficient number of tests have been carried out to construct a fleet-averaged engine matrix for in-use Australian vehicles. A model is described which uses this matrix to predict the effect of variations in vehicle parameters and traffic flow patterns on the fuel consumption of a motor vehicle on the road or on the dynamometer.

T.J. Gibson; R.W. Bilger

1987-01-01T23:59:59.000Z

100

Emergence of electric mobility: a nested approach to vehicle choice modeling  

E-Print Network [OSTI]

and electric cars) are likely to be significantly affected. This particular context motivated a sound demand analysis for electric cars in Switzerland, in order to identify the characteristics which would influence but from the Renault brand and finally a similar electric car. In the survey, respondents were also asked

Bierlaire, Michel

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

An agent-based model to study market penetration of plug-in hybrid electric vehicles  

E-Print Network [OSTI]

An agent-based model to study market penetration of plug-in hybrid electric vehicles Margaret J 2011 Available online 29 April 2011 Keywords: Plug-in hybrid electric vehicles Market penetration Agent-based models. A recent joint report by the Electric Power Research Institute (EPRI) and the Natural Resources

Vermont, University of

102

A model to evaluate vehicle emission incentive policies in Japan  

Science Journals Connector (OSTI)

Using 3 years of data from the 47 prefectures of Japan, we estimate the behavior of households that simultaneously make discrete decisions about vehicle...

Don Fullerton; Li Gan; Miwa Hattori

2014-07-01T23:59:59.000Z

103

In-vehicle mm-Wave Channel Model and Measurement  

E-Print Network [OSTI]

and costly cable bundles with wireless links. The current upswing of electrically-propelled vehicles, Ales Prokes The Faculty of Electrical Engineering and Communication Brno University of Technology Brno kilometers of wires weighing easily up to 50 kg [1], while vehicle manufacturers appreciate weight savings

Zemen, Thomas

104

Modelling and control strategy development for fuel cell electric vehicles  

E-Print Network [OSTI]

and applied to the energy management of this FCEV, which allow fuel economy optimisation while keeping a good storage. It is essential for advanced vehicles to obtain a range comparable to that of mass production and maximize the energy stored onboard a vehicle. A stochastic dynamic programming algorithm was developed

Peng, Huei

105

Microsimulation analysis of a hybrid system model of multiple merge junction highway and semiautomatic vehicles  

E-Print Network [OSTI]

Microsimulation analysis of a hybrid system model of multiple merge junction highway and semi Abstract In this paper we present a protocol that controls semi­automated autonomous vehicles driving is in the merge lane) and the yielding (the vehicle is in the main lane). We show a simulation study that presents

Girault, Alain

106

A versatile computer model for the design and analysis of electric and hybrid vehicles  

E-Print Network [OSTI]

The primary purpose of the work reported in this thesis was to develop a versatile computer model to facilitate the design and analysis of hybrid vehicle drive-trains. A hybrid vehicle is one in which power for propulsion comes from two distinct...

Stevens, Kenneth Michael

1996-01-01T23:59:59.000Z

107

A REVIEW OF ASSUMPTIONS AND ANALYSIS IN EPRI EA-3409,"HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPS BEHAVIORAL MODELS"  

SciTech Connect (OSTI)

This paper revises and extends EPRI report EA-3409, ''Household Appliance Choice: Revision of REEPS Behavioral Models.'' That paper reported the results of an econometric study of major appliance choice in new residential construction. Errors appeared in two tables of that report. We offer revised versions of those tables, and a brief analysis of the consequences and significance of the errors. The present paper also proposes several possible extensions and re-specifications of the models examined by EPRI. Some of these are judged to be highly successful; they both satisfy economic intuition more completely than the original specification and produce a better quality fit to the dependent variable. We feel that inclusion of these modifications produces a more useful set of coefficients for economic modeling than the original specification. This paper focuses on EPRI's models of residential space heating technology choice. That choice was modeled as a nested logit structure, with consumers choosing whether to have central air conditioning or not, and, given that choice, what kind of space heating system to have. The model included five space heating alternatives with central cooling (gas, oil, and electric forced-air; heat pumps; and electric baseboard) and eight alternatives without it (gas, oil, and electric forced-air; gas and oil boilers and non-central systems; and electric baseboard heat). The structure of the nested logit model is shown in Figure 1.

Wood, D.J.; Ruderman, H.; McMahon, J. E.

1989-05-01T23:59:59.000Z

108

In-vehicle UWB Channel Measurement, Model and Spatial Stationarity  

E-Print Network [OSTI]

devices of the passengers with the vehicle. Considering the average weight of wire harness in modern- hicle's communication systems. Connection of moving parts, such as wheels for tyre pressure monitoring

Zemen, Thomas

109

AVCEM: Advanced-Vehicle Cost and Energy Use Model  

E-Print Network [OSTI]

stack); fuel-cell salvage value (fraction of initial coststack); total cost of vehicle electronics needed specifically for the fuel-cellcosts, expressed as a wage multiplier); specific weight of the fuel-cell stack (

Delucchi, Mark

2005-01-01T23:59:59.000Z

110

Modeling and control of a biorobotic autonomous underwater vehicle  

E-Print Network [OSTI]

Current research into Autonomous Underwater Vehicles (AUVs) has included work on biologically inspired propulsion mechanisms, for instance flapping foils. The first aim of this thesis is to develop an accurate non-linear ...

Booth, William Duncan Lewis

2006-01-01T23:59:59.000Z

111

Modeling and vehicle performance analysis of Earth and lunar hoppers  

E-Print Network [OSTI]

Planetary hoppers-vehicles which travel over the surface as opposed to on it-offer significant advantages over existing rovers. Above all, they are able to travel quickly and can overcome terrain obstacles such as boulders ...

Middleton, Akil J

2010-01-01T23:59:59.000Z

112

A Convex Optimization Approach for Computing Correlated Choice ...  

E-Print Network [OSTI]

Probit (MNP) model where the random utilities of the alternatives are chosen ... the SUTD-MIT International Design Center grant number IDG31300105 on ...... of such data includes choice of lake recreation sites in the state of Wisconsin .... preferences for alternative-fuel vehicles, Transportation Research B, 34 (2000), pp.

2014-01-03T23:59:59.000Z

113

Disaggregation of energy-saving targets for China's provinces: modeling results and real choices  

Science Journals Connector (OSTI)

Abstract Starting with the 11th Five-Year Plan (FYP) and continuing in the 12th FYP, quantitative and binding targets have been set for energy-efficiency improvement in China. Drawing on international experience in burden-sharing on climate change, this paper presents a framework for provincial-level disaggregation of energy-saving targets in China. Based on principles of equity and efficiency, four scenarios have been established by weighting different choice preferences of responsibility, capacity, and potential. In addition, nonlinear and linear allocation models have been developed by considering or ignoring marginal energy-saving cost. When this framework was applied to the disaggregation of the national energy saving target of 16% during the 12th FYP, the results show that the final allocation schemes are largely determined by the policy maker's choice preferences. The extreme reduction target of 37.26% fell to Shanghai under responsibility preferring (RP) using the linear allocation method, while the capability preferring (CP) scenario considering marginal energy-saving cost is the closest to the actual scheme accepted by the 30 provinces. Development of such a framework may serve as a feasible policy instrument to help China achieve its conservation targets in a cost-effective way and in accordance with its regional development strategies.

L.X. Zhang; Y.Y. Feng; B.H. Zhao

2014-01-01T23:59:59.000Z

114

Vehicle Technologies Office Merit Review 2014: Vehicle Level Model and Control Development and Validation Under Various Thermal Conditions  

Broader source: Energy.gov [DOE]

Presentation given by Argonne National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about vehicle level...

115

Modelling and analysis of electric power steering system and its effect on vehicle dynamic behaviour  

Science Journals Connector (OSTI)

While most passenger vehicles equipped with power steering systems are hydraulic power assisted, Electric Power Steering (EPS) systems are becoming wide spread since they can afford higher fuel efficiency. This paper develops an integrated simulation of an EPS control system with a full vehicle model. Using co-simulation technique, a full vehicle model interacting with EPS control algorithm is concurrently simulated on a single bump road condition. The effects of EPS on the vehicle dynamic behaviour and handling responses resulting from steer and road input are analysed and compared with proving ground experimental data. The comparisons show reasonable agreement on tie-rod load, rack displacement, steering wheel torque and tyre centre acceleration. This developed co-simulation capability may be useful for EPS performance evaluation and calibration as well as for vehicle handling performance integration.

Y. Gene Liao; H. Isaac Du

2003-01-01T23:59:59.000Z

116

Electric vehicle’s energy consumption of car-following models  

Science Journals Connector (OSTI)

In this paper, we use the optimal velocity model, full velocity difference model, full velocity and acceleration difference model, and the car-following model with consideration of the traffic interruption probab...

Shichun Yang; Cheng Deng; Tieqiao Tang; Yongsheng Qian

2013-01-01T23:59:59.000Z

117

Vehicle Technologies Office Merit Review 2014: Validation of Material Models for Automotive Carbon Fiber Composite Structures  

Broader source: Energy.gov [DOE]

Presentation given by General Motors at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about validation of material models...

118

Advances in Electric Drive Vehicle Modeling with Subsequent Experimentation and Analysis  

E-Print Network [OSTI]

coefficients in order to build a high-level, yet accurate state of charge prediction model. Moreover, this work utilizes automotive grade lithium-based batteries for realistic outcomes in the electrified vehicle realm. The fourth chapter describes an advanced...

Hausmann, Austin Joseph

2012-08-31T23:59:59.000Z

119

Development of a computational model for nuclear electric orbital transfer vehicles  

E-Print Network [OSTI]

DEVELOPMENT OF A COMPUTATIONAL MODEL FOR NUCLEAR ELECTRIC ORBITAL TRANSFER VEHICLES A Thesis by WILLIAM FOUNTAIN LYON III Submitted to the Office of Graduate Studies of Texas ARM University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE August 1989 Major Subject: Nuclear Engineering DEVELOPMENT OF A COMPUTATIONAL MODEL FOR NUCLEAR ELECTRIC ORBITAL TRANSFER VEHICLES A Thesis by WILLIAM FOUNTAIN LYON III Approved as to style and content by: K. L...

Lyon, William Fountain

2012-06-07T23:59:59.000Z

120

Incident detection using the Standard Normal Deviate model and travel time information from probe vehicles  

E-Print Network [OSTI]

INCIDENT DETECTION USING THE STANDARD iNORMAL DEVIATE MODEL AND TRAVEL TECHIE INFORMATION FROM PROBE VEHICLES A Thesis by CHRISTOPHER EUGENE MOUNTAIN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirement for the degree of MASTFR OF SCIENCE December 1993 Major Subject: Civil Engineering INCIDENT DETECTION USING THE STANDARD NORMAL DEVIATE MODEL AND TRAVEL TIME INFORMATION FROM PROBE VEHICLES A Thesis by CHRISTOPHER EUGENE MOUNTAIN Submitted...

Mountain, Christopher Eugene

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Light-duty vehicle mpg and market shares report, model year 1988  

SciTech Connect (OSTI)

This issue of Light-Duty Vehicle MPG and Market Shares Report: Model Year 1988 reports the estimated sales-weighted fuel economies, sales, market shares, and other vehicle characteristics of automobiles and light trucks. The estimates are made on a make and model basis, from model year 1976 to model year 1988. Vehicle sales data are used as weighting factors in the sales-weighted estimation procedure. Thus, the estimates represent averages of the overall new vehicle fleet, reflecting the composition of the fleet. Highlights are provided on the trends in the vehicle characteristics from one model year to the next. Analyses are also made on the fuel economy changes to determine the factors which caused the changes. The sales-weighted fuel economy for the new car fleet in model year 1988 showed an improvement of 0.1 mpg from model year 1987, while light trucks showed a 0.2 mpg loss. The 0.2 mpg loss by the light trucks can be attributed to the fact that every light truck size class experienced either losses or no change in their fuel economies from the previous model year, except for the large van size class. Overall, the sales-weighted fuel economy of the entire light-duty vehicle fleet (automobiles and light trucks combined) has remained relatively stable since model year 1986. Domestic light-duty vehicles began to gain popularity over their import counterparts; and light trucks increased their market shares relative to automobiles. Domestic cars regained 0.3% of the automobile market, reversing the previous trend. Similar to the automobile market, domestic light trucks continued to gain popularity over their import counterparts, partly due to the increasing popularity of domestic small vans. 3 refs., 35 figs., 48 tabs.

Hu, P.S.; Williams, L.S.; Beal, D.J.

1989-04-01T23:59:59.000Z

122

Artificial neural network modelling of driver handling behaviour in a driver-vehicle-environment system  

Science Journals Connector (OSTI)

Modelling driver handling behaviour in a driver-vehicle-environment (DVE) system is essentially useful for the design of vehicle systems and transport systems in the light of the safety and efficiency of human mobility. Driver handling behaviour is reflected in two aspects: the mental workload and the performance. Further, this behaviour is exposed through the interactions between driver-vehicle and driver-environment. There is generally a lack of the first principle with which to develop a model for human behaviour. In this study, several more sophisticated artificial neural network architectures for developing models for human drivers in a DVE system were used. The vehicle dynamics are modelled by a 3-d.o.f. model derived from the first principle. The experiment was performed and compared with a DVE simulation system in which the developed human driver behaviour model was included, together with the vehicle dynamics model. The comparative study showed that the simulation result is in good agreement with the experimental result, which further justifies the effectiveness of the developed driver behaviour model.

Y. Lin; P. Tang; W.J. Zhang; Q. Yu

2005-01-01T23:59:59.000Z

123

Climate and Energy Policy for U.S. Passenger Vehicles: A Technology-Rich Economic Modeling and Policy Analysis  

E-Print Network [OSTI]

-based relationship between income growth and travel demand, turnover of the vehicle stock, and cost-driven investment both in reduction of internal combustion engine (ICE) vehicle fuel consumption as well as in adoptionClimate and Energy Policy for U.S. Passenger Vehicles: A Technology-Rich Economic Modeling

124

A Discrete Event Simulation Model for "Efficient Selection of Relay Vehicles for  

E-Print Network [OSTI]

1 A Discrete Event Simulation Model for "Efficient Selection of Relay Vehicles for Broadcasting discrete event-driven simulation model for DIB and EDIB protocols on VANET. We define six types of events the ACK message to the sender. The following variables are used in the simulation model: · vehs stores

Lin, Jason Yi-Bing

125

Plug-In Hybrid Electric Vehicles - PHEV Modeling - Component Requirement  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Requirement Definition for PHEVs Requirement Definition for PHEVs One of the main objectives of the U.S. Department of Energy's (DOE's) Plug-in Hybrid Electric Vehicle R&D Plan (2.2Mb pdf) is to "determine component development requirements" through simulation analysis. PSAT has been used to design and evaluate a series of PHEVs to define the requirements of different components, focusing on the energy storage system's power and energy. Several vehicle classes (including midsize car, crossover SUV and midsize SUV) and All Electric Range (AER from 10 to 40 miles) were considered. The preliminary simulations were performed at Argonne using a pre-transmission parallel hybrid configuration with an energy storage system sized to run the Urban Dynanometer Driving Schedule (UDDS) in electric mode. Additional powertrain configurations and sizing algorithm are currently being considered. Trade-off studies are being performed as ways to achieve some level of performance while easing requirements on one area or another. As shown in the figure below, the FreedomCAR Energy Storage Technical Team selected a short term and a long term All Electric Range (AER) goals based on several vehicle simulations.

126

Refueling Availability for Alternative Fuel Vehicle Markets: Sufficient Urban Station Coverage  

E-Print Network [OSTI]

on the adoption of alternative fuel vehicles: the case ofProgress in Acquiring Alternative Fuel Vehicles and Reachingavailability to choice of alternative fuels and vehicles.

Melaina, Marc W; Bremson, Joel

2008-01-01T23:59:59.000Z

127

Fact #764: January 28, 2013 Model Year 2013 Brings More Fuel Efficient Choices for Consumers  

Broader source: Energy.gov [DOE]

Over the last six years, manufacturers have made more fuel efficient choices available to consumers in several size classes. For a consumer purchasing a new large car in 2008, the highest combined...

128

The Smart Grid, A Scale Demonstration Model Incorporating Electrified Vehicles  

E-Print Network [OSTI]

renewable energy resources that can generate and manage power locally, leading to precision control of the electrical grid. Renewable energy is captured using both a student-built 45W solar panel and a 50W wind turbine to charge two separate battery..., further decentralization occurs by employing the LiFeYPO4 battery pack of a PHEV/BEV as a reserve or dynamic storage bank. Use of a commercial vehicle in this manner can lower greenhouse-gas emissions, improve urban air quality, save consumers...

Clemon, Lee; Mattson, Jon; Moore, Andrew; Necefer, Len; Heilman, Shelton

2011-04-01T23:59:59.000Z

129

An Optimization Model for Plug-In Hybrid Electric Vehicles  

SciTech Connect (OSTI)

The necessity for environmentally conscious vehicle designs in conjunction with increasing concerns regarding U.S. dependency on foreign oil and climate change have induced significant investment towards enhancing the propulsion portfolio with new technologies. More recently, plug-in hybrid electric vehicles (PHEVs) have held great intuitive appeal and have attracted considerable attention. PHEVs have the potential to reduce petroleum consumption and greenhouse gas (GHG) emissions in the commercial transportation sector. They are especially appealing in situations where daily commuting is within a small amount of miles with excessive stop-and-go driving. The research effort outlined in this paper aims to investigate the implications of motor/generator and battery size on fuel economy and GHG emissions in a medium-duty PHEV. An optimization framework is developed and applied to two different parallel powertrain configurations, e.g., pre-transmission and post-transmission, to derive the optimal design with respect to motor/generator and battery size. A comparison between the conventional and PHEV configurations with equivalent size and performance under the same driving conditions is conducted, thus allowing an assessment of the fuel economy and GHG emissions potential improvement. The post-transmission parallel configuration yields higher fuel economy and less GHG emissions compared to pre-transmission configuration partly attributable to the enhanced regenerative braking efficiency.

Malikopoulos, Andreas [ORNL] [ORNL; Smith, David E [ORNL] [ORNL

2011-01-01T23:59:59.000Z

130

Impact of agricultural-based biofuel production on greenhouse gas emissions from land-use change: Key modelling choices  

Science Journals Connector (OSTI)

Abstract Recent regulations on biofuels require reporting of greenhouse gas (GHG) emission reductions related to feedstock-specific biofuels. However, the inclusion of GHG emissions from land-use change (LUC) into law and policy remains a subject of active discussion, with LUC–GHG emissions an issue of intense research. This article identifies key modelling choices for assessing the impact of biofuel production on LUC–GHG emissions. The identification of these modelling choices derives from evaluation and critical comparison of models from commonly accepted biofuels–LUC–GHG modelling approaches. The selection and comparison of models were intended to cover factors related to production of agricultural-based biofuel, provision of land for feedstock, and GHG emissions from land-use conversion. However, some fundamental modelling issues are common to all stages of assessment and require resolution, including choice of scale and spatial coverage, approach to accounting for time, and level of aggregation. It is argued here that significant improvements have been made to address LUC–GHG emissions from biofuels. Several models have been created, adapted, coupled, and integrated, but room for improvement remains in representing LUC–GHG emissions from specific biofuel production pathways, as follows: more detailed and integrated modelling of biofuel supply chains; more complete modelling of policy frameworks, accounting for forest dynamics and other drivers of LUC; more heterogeneous modelling of spatial patterns of LUC and associated GHG emissions; and clearer procedures for accounting for the time-dependency of variables. It is concluded that coupling the results of different models is a convenient strategy for addressing effects with different time and space scales. In contrast, model integration requires unified scales and time approaches to provide generalised representations of the system. Guidelines for estimating and reporting LUC–GHG emissions are required to help modellers to define the most suitable approaches and policy makers to better understand the complex impacts of agricultural-based biofuel production.

Luis Panichelli; Edgard Gnansounou

2015-01-01T23:59:59.000Z

131

Using Local and Regional Air Quality Modeling and Source Apportionment Tools to Evaluate Vehicles and Biogenic Emission Factors  

E-Print Network [OSTI]

and inventories of CO, NO_(x) and VOCs from on-road vehicles estimated by vehicle emission factor models and biogenic emissions of isoprene estimated by a popular biogenic emission model are evaluated using local and regional scale air quality modeling and source...

Kota, Sri H

2014-07-25T23:59:59.000Z

132

Response Surface Energy Modeling of an Electric Vehicle over a Reduced Composite Drive Cycle  

SciTech Connect (OSTI)

Response surface methodology (RSM) techniques were applied to develop a predictive model of electric vehicle (EV) energy consumption over the Environmental Protection Agency's (EPA) standardized drive cycles. The model is based on measurements from a synthetic composite drive cycle. The synthetic drive cycle is a minimized statistical composite of the standardized urban (UDDS), highway (HWFET), and US06 cycles. The composite synthetic drive cycle is 20 minutes in length thereby reducing testing time of the three standard EPA cycles by over 55%. Vehicle speed and acceleration were used as model inputs for a third order least squared regression model predicting vehicle battery power output as a function of the drive cycle. The approach reduced three cycles and 46 minutes of drive time to a single test of 20 minutes. Application of response surface modeling to the synthetic drive cycle is shown to predict energy consumption of the three EPA cycles within 2.6% of the actual measured values. Additionally, the response model may be used to predict energy consumption of any cycle within the speed/acceleration envelope of the synthetic cycle. This technique results in reducing test time, which additionally provides a model that may be used to expand the analysis and understanding of the vehicle under consideration.

Jehlik, Forrest [Argonne National Laboratory (ANL)] [Argonne National Laboratory (ANL); LaClair, Tim J [ORNL] [ORNL

2014-01-01T23:59:59.000Z

133

Plug-In Hybrid Electric Vehicles - PHEV Modeling - Powertrain Configuration  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Impact of Powertrain Configuration on Fuel Efficiency To evaluate the fuel efficiency potential of plug-in hybrid electric vehicles, it is necessary to compare the advantages and drawbacks of several powertrain configurations, ranging from power split to parallel and series. PSAT offers the unique ability to simulate and compare hundreds of powertrain configurations. The goal of the effort is to define the most promising configurations depending on the particular usage. Component sizes, fuel efficiency and cost will be used to make appropriate decisions. The configurations currently being considered include, but are not limited to: Pre-transmission parallel HEV Post-transmission parallel HEV Power split HEV (including THS II and GM 2 Mode) Series The figure below shows an example comparison of three powertrain configurations (parallel, series and power split).

134

Plug-In Hybrid Electric Vehicles - PHEV Modeling - Control Strategy  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Control Strategy Assessment of PHEVs Control Strategy Assessment of PHEVs A generic global optimization algorithm for plug-in hybrid electric vehicle (PHEV) powertrain flows has been developed based on the Bellman optimality principle. Optimization results are used to isolate control patterns, both dependent and independent of the cycle characteristics, in order to develop real-time control strategies in Simulink/Stateflow. These controllers are then implemented in PSAT to validate their performances. Heuristic optimization algorithms (such as DIRECT or genetic algorithms) are then used to tune the parameters of the real-time controller implemented in PSAT. The control strategy development process is described below. PHEV control strategy development process diagram Control Strategy Development Process

135

Analyzing the Sensitivity of Hydrogen Vehicle Sales to Consumers' Preferences  

SciTech Connect (OSTI)

The success of hydrogen vehicles will depend on consumer behavior as well as technology, energy prices and public policy. This study examines the sensitivity of the future market shares of hydrogen-powered vehicles to alternative assumptions about consumers preferences. The Market Acceptance of Advanced Automotive Technologies model was used to project future market shares. The model has 1,458 market segments, differentiated by travel behavior, geography, and tolerance to risk, among other factors, and it estimates market shares for twenty advanced power-train technologies. The market potential of hydrogen vehicles is most sensitive to the improvement of drive train technology, especially cost reduction. The long-run market success of hydrogen vehicles is less sensitive to the price elasticity of vehicle choice, how consumers evaluate future fuel costs, the importance of fuel availability and limited driving range. The importance of these factors will likely be greater in the early years following initial commercialization of hydrogen vehicles.

Greene, David L [ORNL] [ORNL; Lin, Zhenhong [ORNL] [ORNL; Dong, Jing [Iowa State University] [Iowa State University

2013-01-01T23:59:59.000Z

136

Application of Finite Mixture Models for Vehicle Crash Data Analysis  

E-Print Network [OSTI]

heterogeneity through the use of finite mixture regression models. A Finite mixture of Poisson or NB regression models is especially useful when the count data were generated from a heterogeneous population. To evaluate these models, Poisson and NB mixture...

Park, Byung Jung

2010-07-14T23:59:59.000Z

137

HOME ENERGY PREFERENCES & POLICY: APPLYING STATED CHOICE MODELING TO A HYBRID  

E-Print Network [OSTI]

for home renovations and heating systems. Using stated preference data from over 600 completed surveys, I or benefits for heating system and renovation choices in the residential sector. Overall, respondents prefer furnaces, 6% for electric baseboards, 28% for heat pumps and 10% for mid efficiency oil furnaces

138

Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles  

E-Print Network [OSTI]

for forecasting demand for alternative-fuel vehicles. In:preferences for alternative-fuel vehicles David Brownstonespondents' preferences for alternative-fuel vehicles. The e€

Brownston, David; Bunch, David S.; Train, Kenneth

1999-01-01T23:59:59.000Z

139

Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

8: November 23, 8: November 23, 2009 Hybrid Vehicle Sales by Model to someone by E-mail Share Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model on Facebook Tweet about Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model on Twitter Bookmark Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model on Google Bookmark Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model on Delicious Rank Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model on Digg Find More places to share Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model on AddThis.com... Fact #598: November 23, 2009

140

Hybrid Electric Vehicle Testing  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Transportation Association Conference Transportation Association Conference Vancouver, Canada December 2005 Hybrid Electric Vehicle Testing Jim Francfort U.S. Department of Energy - FreedomCAR & Vehicle Technologies Program, Advanced Vehicle Testing Activity INL/CON-05-00964 Presentation Outline * Background & goals * Testing partners * Hybrid electric vehicle testing - Baseline performance testing (new HEV models) - 1.5 million miles of HEV fleet testing (160k miles per vehicle in 36 months) - End-of-life HEV testing (rerun fuel economy & conduct battery testing @ 160k miles per vehicle) - Benchmark data: vehicle & battery performance, fuel economy, maintenance & repairs, & life-cycle costs * WWW information location Background * Advanced Vehicle Testing Activity (AVTA) - part of the

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Transient modeling and validation of lithium ion battery pack with air cooled thermal management system for electric vehicles  

Science Journals Connector (OSTI)

A transient numerical model of a lithium ion battery (LiB) pack with air cooled thermal management system is developed and validated for electric vehicle applications. In the battery model, the open circuit volta...

G. Y. Cho; J. W. Choi; J. H. Park; S. W. Cha

2014-08-01T23:59:59.000Z

142

NREL: Vehicle Ancillary Loads Reduction - Thermal Comfort Model  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Comfort Model Comfort Model Photo of human testing to determine thermal comfort perception data. Photo of human testing to determine thermal comfort perception data. Working with researchers at the University of California, Berkeley, our team at NREL developed an empirical model of people's temperature sensation (hot/cold) as well as perceptions (comfortable/uncomfortable) in a transient non-homogeneous environment. The model predicts sensation and comfort locally (at specific points on the body) as well as globally (overall). The university performed more than 100 tests on human test subjects in a controlled environmental chamber under a range of steady state and transient thermal conditions. Participants subjectively recorded their thermal comfort on a simple form. Core and local skin temperature data was

143

Model Year 2010 Green Vehicle Guide Model Displ Cyl Trans Drive  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Green Vehicle Guide Green Vehicle Guide Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA MDX 3.7 6 SemiAuto-6 4WD Gasoline CA U2 California LEV-II ULEV AHNXT03.7W19 SUV 7 16 21 18 4 no ACURA MDX 3.7 6 SemiAuto-6 4WD Gasoline FA B5 Federal Tier 2 Bin 5 AHNXT03.7W19 SUV 6 16 21 18 4 no ACURA RDX 2.3 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV AHNXT02.3Y19 SUV 7 19 24 21 5 no ACURA RDX 2.3 4 SemiAuto-5 4WD Gasoline CA U2 California LEV-II ULEV AHNXT02.3Y19 SUV 7 17 22 19 4 no ACURA RDX 2.3 4 SemiAuto-5 2WD Gasoline FA B5 Federal Tier 2 Bin 5 AHNXT02.3Y19 SUV 6 19 24 21 5 no ACURA RDX 2.3 4 SemiAuto-5 4WD Gasoline FA B5 Federal Tier 2 Bin 5 AHNXT02.3Y19 SUV 6 17 22 19 4 no ACURA RL 3.7 6 SemiAuto-5 4WD Gasoline CA U2 California LEV-II ULEV AHNXV03.7PB9 midsize car

144

Model Year 2011 Green Vehicle Guide Model Displ Cyl Trans Drive  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Green Vehicle Guide Green Vehicle Guide Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA MDX 3.5 6 SemiAuto-6 4WD Gasoline CA U2 California LEV-II ULEV BHNXT03.7M19 SUV 6 16 21 18 3 no ACURA MDX 3.5 6 SemiAuto-6 4WD Gasoline FA B5 Federal Tier 2 Bin 5 BHNXT03.7M19 SUV 5 16 21 18 3 no ACURA RDX 2.3 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV BHNXT02.3X19 SUV 6 19 24 21 4 no ACURA RDX 2.3 4 SemiAuto-5 4WD Gasoline CA U2 California LEV-II ULEV BHNXT02.3X19 SUV 6 17 22 19 3 no ACURA RDX 2.3 4 SemiAuto-5 2WD Gasoline FA B5 Federal Tier 2 Bin 5 BHNXT02.3X19 SUV 5 19 24 21 4 no ACURA RDX 2.3 4 SemiAuto-5 4WD Gasoline FA B5 Federal Tier 2 Bin 5 BHNXT02.3X19 SUV 5 17 22 19 3 no ACURA RL 3.7 6 SemiAuto-6 4WD Gasoline CA U2 California LEV-II ULEV BHNXV03.7PB9 midsize car

145

Model Year 2012 Green Vehicle Guide Model Displ Cyl Trans Drive  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Green Vehicle Guide Green Vehicle Guide Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA MDX 3.7 6 SemiAuto-6 4WD Gasoline FA B5 Federal Tier 2 Bin 5 CHNXT03.7R19 SUV 5 16 21 18 3 no ACURA MDX 3.7 6 SemiAuto-6 4WD Gasoline CA U2 California LEV-II ULEV CHNXT03.7R19 SUV 6 16 21 18 3 no ACURA RDX 2.3 4 SemiAuto-5 4WD Gasoline FA B5 Federal Tier 2 Bin 5 CHNXT02.3Y19 SUV 5 17 22 19 3 no ACURA RDX 2.3 4 SemiAuto-5 4WD Gasoline CA U2 California LEV-II ULEV CHNXT02.3Y19 SUV 6 17 22 19 3 no ACURA RDX 2.3 4 SemiAuto-5 2WD Gasoline FA B5 Federal Tier 2 Bin 5 CHNXT02.3Y19 SUV 5 19 24 21 4 no ACURA RDX 2.3 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV CHNXT02.3Y19 SUV 6 19 24 21 4 no ACURA TL 3.5 6 SemiAuto-6 2WD Gasoline FA B5 Federal Tier 2 Bin 5 CHNXV03.5EB3 midsize car 5

146

Journal of Asian Electric Vehicles, Volume 8, Number 1, June 2010 Simplified Thermal Model of PM Motors in Hybrid Vehicle Applications Taking  

E-Print Network [OSTI]

to develop a complete and representative model of the heat processes in the electric motors. In this paper in Ansoft ePhysics soft- ware. Keywords hybrid electric vehicle, surface permanent magnet synchronous motors needs to be thor- oughly understood. The optimal design of electrical motors with solid thermal

Mi, Chunting "Chris"

147

Dynamic Modeling of a Two Wheeled Vehicle : Jourdain Formalism  

E-Print Network [OSTI]

This paper presents a motorcycle direct dynamic formulation by the Jourdain's principle approach on the motorcycle's handlebar. Simulation results reveal some dynamics features like load transfer and counter-steering phenomena. keywords Motorcycle modeling, motorcycle control, Jourdain's dynamics principle. 1 Introduction

Paris-Sud XI, Université de

148

Clean Cities 2012 Vehicle Buyer's Guide (Brochure)  

SciTech Connect (OSTI)

The expanding availability of alternative fuels and advanced vehicles makes it easier than ever to reduce petroleum use, cut emissions, and save on fuel costs. The Clean Cities 2012 Vehicle Buyer's Guide features a comprehensive list of model year 2012 vehicles that can run on ethanol, biodiesel, electricity, propane or natural gas. Drivers and fleet managers across the country are looking for ways to reduce petroleum use, fuel costs, and vehicle emissions. As you'll find in this guide, these goals are easier to achieve than ever before, with an expanding selection of vehicles that use gasoline or diesel more efficiently, or forego them altogether. Plug-in electric vehicles made a grand entrance onto U.S. roadways in model year (MY) 2011, and their momentum in the market is poised for continued growth in 2012. Sales of the all-electric Nissan Leaf surpassed 8,000 in the fall of 2011, and the plug-in hybrid Chevy Volt is now available nationwide. Several new models from major automakers will become available throughout MY 2012, and drivers are benefiting from a rapidly growing network of charging stations, thanks to infrastructure development initiatives in many states. Hybrid electric vehicles, which first entered the market just a decade ago, are ubiquitous today. Hybrid technology now allows drivers of all vehicle classes, from SUVs to luxury sedans to subcompacts, to slash fuel use and emissions. Alternative fueling infrastructure is expanding in many regions, making natural gas, propane, ethanol, and biodiesel attractive and convenient choices for many consumers and fleets. And because fuel availability is the most important factor in choosing an alternative fuel vehicle, this growth opens up new possibilities for vehicle ownership. This guide features model-specific information about vehicle specs, manufacturer suggested retail price (MSRP), fuel economy, and emissions. You can use this information to compare vehicles and help inform your buying decisions. This guide includes city and highway fuel economy estimates from the U.S. Environmental Protection Agency (EPA). The estimates are based on laboratory tests conducted by manufacturers in accordance with federal regulations. EPA retests about 10% of vehicle models to confirm manufacturer results. Fuel economy estimates are also available on FuelEconomy.gov. For some newer vehicle models, EPA data was not available at the time of this guide's publication; in these cases, manufacturer estimates are provided, if available.

Not Available

2012-03-01T23:59:59.000Z

149

Co-training of context models for real-time vehicle detection Alexander R.T. Gepperth1,1  

E-Print Network [OSTI]

Co-training of context models for real-time vehicle detection Alexander R.T. Gepperth1,1 ENSTA the feasibility of our approach in a very challenging vehicle detection scenario comprising multiple weather-time detection system effectively composed of two trainable components: an exhaustive multiscale object detector

Paris-Sud XI, Université de

150

A two-path model on the effects of positivity and empathy reflected by online reviews: a choice mechanism perspective  

Science Journals Connector (OSTI)

This research uses the three choice mechanisms, i.e., cognitive, normative, and affective processes, to examine the impacts of two interrelated aspects regarding online reviews, i.e., positivity of online reviews and empathy reflected by online reviews, on online purchase intentions through two studies. Results reveal that positivity of online reviews is more strongly related to both cognitive and normative processing, whereas empathy reflected in response to searchers' problems is found to influence consumers' affective decision making, thus leading to the development of a two-path model regarding the psychological mechanisms about online reviews. Theoretical and managerial implications are discussed.

Xuehua Wang; Cheris W.C. Chow; Zhilin Yang

2012-01-01T23:59:59.000Z

151

Modelling modal choice effects of regulation on low-sulphur marine fuels in Northern Europe  

Science Journals Connector (OSTI)

Abstract The implementation of MARPOL Annex VI in the North and Baltic Sea Sulphur Emission Control Area (SECA) has raised economic concerns among shippers and shipowners, as well as spurred policymakers to appeal to various interests, such as citizen health, export industry competitiveness, and consumer prices. To justify their cases, policymakers and stakeholders have commissioned various agencies to monitor the implementation’s effects upon sustainability, especially regarding a potential modal shift from sea to road transport. This article thus reviews some of these commissioned studies in order to analyse the effects of the implementation and the possibility of modal shift. It also provides an agent-based simulation study of route choice for comparatively high-value cargo from Lithuania in the east to the United Kingdom in the west. Ultimately, the results of our TAPAS study do not provide concrete evidence supporting a modal shift from sea to road transport and indeed, they indicate that a shift is unlikely to occur.

Johan Holmgren; Zoi Nikopoulou; Linda Ramstedt; Johan Woxenius

2014-01-01T23:59:59.000Z

152

Comparative Life Cycle Assessment (LCA) of passenger seats and their impact on different vehicle models  

Science Journals Connector (OSTI)

The main purpose of Life Cycle Assessment (LCA) to date has been to evaluate life cycle impacts of different design solutions and materials for a car, its sub-systems and components. Considerable number of publications are available on LCA of automotive components. This research aims to extend the LCA approach by evaluating and comparing the effects of mass reduction of passenger seats for different vehicle models in order to provide strategic support for decision making in the development process and to validate the environmental benefits of design alternatives under investigation. For this purpose, the paper presents a comprehensive LCA of passenger seats with detailed consideration of alternative scenarios for the use phase for different vehicle models.

Aleksandar Subic; Francesco Schiavone; Martin Leary; Jack Manning

2010-01-01T23:59:59.000Z

153

Vehicle Technologies Office: Fact #806: December 2, 2013 Light Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

6: December 2, 6: December 2, 2013 Light Vehicle Market Shares, Model Years 1975-2012 to someone by E-mail Share Vehicle Technologies Office: Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 1975-2012 on Facebook Tweet about Vehicle Technologies Office: Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 1975-2012 on Twitter Bookmark Vehicle Technologies Office: Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 1975-2012 on Google Bookmark Vehicle Technologies Office: Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 1975-2012 on Delicious Rank Vehicle Technologies Office: Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 1975-2012 on Digg Find More places to share Vehicle Technologies Office: Fact #806:

154

Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 1975–2012  

Broader source: Energy.gov [DOE]

In 1975, cars were by far the dominant vehicle style among new light vehicle sales, with a few vans and pickup trucks. Sport Utility Vehicles (SUVs) accounted for less than 2% of the market at that...

155

Coordinated formation pattern control of multiple marine surface vehicles with model uncertainty and time-varying ocean currents  

Science Journals Connector (OSTI)

This paper considers the coordinated formation pattern control of multiple marine surface vehicles in the presence of model uncertainty and time-varying ocean disturbances induced wind, waves and ocean currents. ...

Zhouhua Peng; Dan Wang; Hao Wang; Wei Wang

2014-12-01T23:59:59.000Z

156

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

Broader source: Energy.gov (indexed) [DOE]

Electric Drive Vehicle Demonstration and Vehicle Infrastructure Evaluation Electric Drive Vehicle Demonstration and Vehicle Infrastructure Evaluation 2010 DOE Vehicle Technologies...

157

Heavy Vehicle Systems, Int. J. of Vehicle Design, Vol. 11, Nos. 3/4, 2004 349 Modelling and control of a medium-duty hybrid  

E-Print Network [OSTI]

tool, and its application to the design of a power management control algorithm. The hybrid electric to improve vehicle fuel economy significantly, compared with the original vehicle, powered only by a diesel engine. Keywords: electric vehicles, electric-vehicle simulation, hybrid electric vehicles, hybrid

Peng, Huei

158

High-frequency equivalent model of AC motor for electric vehicle drive system  

Science Journals Connector (OSTI)

The application of the motor drive system in electric and hybrid-electric vehicles can lead to a significant increase in electromagnetic compatibility. The AC motor as an important part of motor drive system must be considered. In this paper, a high frequency modelling method of the AC motor is presented. The modelling method consists of deriving the motor model parameters from mathematical resolution of the electrical circuit equations and observation of the variations of the motor impedance with the frequency. All parameters of the proposed models are obtained by differential mode (DM) and common mode (CM) impedance measurement in the frequency domain. The model is verified by impedance measurement of a synchronous motor. The method proposed can be used to obtain a high-frequency equivalent circuit of an AC motor and predict conducted electromagnetic interference in a motor drive system.

Yongming Yang; Hemeng Peng; Quandi Wang

2013-01-01T23:59:59.000Z

159

Electric and Gasoline Vehicle Lifecycle Cost and Energy-Use Model  

E-Print Network [OSTI]

analyses of the manufacturing cost of the key unique components of electric vehicles: batteries, fuel cells,

Delucchi, Mark; Burke, Andy; Lipman, Timothy; Miller, Marshall

2000-01-01T23:59:59.000Z

160

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

Residential Density on Vehicle Usage and Energy ConsumptionType Choice, and Fuel Usage Total annual residentialResidential Density on Vehicle Usage and Energy Consumption

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

UPDATING THE FREIGHT TRUCK STOCK ADJUSTMENT MODEL: 1997 VEHICLE INVENTORY AND USE SURVEY DATA  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

36 36 UPDATING THE FREIGHT TRUCK STOCK ADJUSTMENT MODEL: 1997 VEHICLE INVENTORY AND USE SURVEY DATA Stacy C. Davis November 2000 Prepared for the Energy Information Administration U.S. Department of Energy Prepared by the OAK RIDGE NATIONAL LABORATORY Oak Ridge, Tennessee 37831-6073 managed by UT-BATTELLE, LLC for the U.S. DEPARTMENT OF ENERGY under Contract No. DE-AC05-00OR22725 Updating the FTSAM: 1997 VIUS Data iii TABLE OF CONTENTS ABSTRACT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 OBJECTIVE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 VIUS DATA PREPARATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Table 1. Share of Trucks by Fuel Type and Truck Size -

162

Identification of powered parafoil-vehicle dynamics from modelling and flight test data  

E-Print Network [OSTI]

S consisting of N particles P1,...,PN, suppose that n -m gen- eralized speeds have been introduced, and let vPir denote the rth partial velocity of Pi. Then, if Ri is the resultant of all contact and body forces acting on Pi, then the n -m quantities F1,...,Fn-m...IDENTIFICATION OF POWERED PARAFOIL-VEHICLE DYNAMICS FROM MODELLING AND FLIGHT TEST DATA A Dissertation by GI-BONG HUR Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree...

Hur, Gi-Bong

2006-08-16T23:59:59.000Z

163

Flexible Fuel Vehicles: Providing a Renewable Fuel Choice, Vehicle...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

An FFV, as its name implies, has the flex- ibility of running on more than one type of fuel. FFVs can be fueled with unleaded gasoline, E85, or any combination of the two. Like...

164

Appending High-Resolution Elevation Data to GPS Speed Traces for Vehicle Energy Modeling and Simulation  

SciTech Connect (OSTI)

Accurate and reliable global positioning system (GPS)-based vehicle use data are highly valuable for many transportation, analysis, and automotive considerations. Model-based design, real-world fuel economy analysis, and the growing field of autonomous and connected technologies (including predictive powertrain control and self-driving cars) all have a vested interest in high-fidelity estimation of powertrain loads and vehicle usage profiles. Unfortunately, road grade can be a difficult property to extract from GPS data with consistency. In this report, we present a methodology for appending high-resolution elevation data to GPS speed traces via a static digital elevation model. Anomalous data points in the digital elevation model are addressed during a filtration/smoothing routine, resulting in an elevation profile that can be used to calculate road grade. This process is evaluated against a large, commercially available height/slope dataset from the Navteq/Nokia/HERE Advanced Driver Assistance Systems product. Results will show good agreement with the Advanced Driver Assistance Systems data in the ability to estimate road grade between any two consecutive points in the contiguous United States.

Wood, E.; Burton, E.; Duran, A.; Gonder, J.

2014-06-01T23:59:59.000Z

165

Household Vehicles Energy Consumption 1991  

U.S. Energy Information Administration (EIA) Indexed Site

. . Trends in Household Vehicle Stock The 1991 RTECS counted more than 150 million vehicles in use by U.S. households. This chapter examines recent trends in the vehicle stock, as measured by the RTECS and other reputable vehicle surveys. It also provides some details on the type and model year of the household vehicle stock, and identifies regional differences in vehicle stock. Because vehicles are continuously being bought and sold, this chapter also reports findings relating to turnover of the vehicle stock in 1991. Finally, it examines the average vehicle stock in 1991 (which takes into account the acquisition and disposal of household vehicles over the course of the year) and identifies variations in the average number of household vehicles based on differences in household characteristics. Number of Household Vehicles Over the past 8 years, the stock of household vehicles has

166

Vehicle Research Laboratory - FEERC  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Vehicle Research Laboratory Vehicle Research Laboratory Expertise The overall FEERC team has been developed to encompass the many disciplines necessary for world-class fuels, engines, and emissions-related research, with experimental, analytical, and modeling capabilities. Staff members specialize in areas including combustion and thermodynamics, emissions measurements, analytical chemistry, catalysis, sensors and diagnostics, dynamometer cell operations, engine controls and control theory. FEERC engineers have many years of experience in vehicle research, chassis laboratory development and operation, and have developed specialized systems and methods for vehicle R&D. Selected Vehicle Research Topics In-use investigation of Lean NOx Traps (LNTs). Vehicle fuel economy features such as lean operation GDI engines,

167

Vehicle Technologies Office: Favorites  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Favorites to someone by Favorites to someone by E-mail Share Vehicle Technologies Office: Favorites on Facebook Tweet about Vehicle Technologies Office: Favorites on Twitter Bookmark Vehicle Technologies Office: Favorites on Google Bookmark Vehicle Technologies Office: Favorites on Delicious Rank Vehicle Technologies Office: Favorites on Digg Find More places to share Vehicle Technologies Office: Favorites on AddThis.com... Favorites #248 Top Ten Net Petroleum Importing Countries, 2000 December 23, 2002 #246 U.S. Oil Imports - Top 10 Countries of Origin December 9, 2002 #244 Sport Utility Vehicle Spotlight November 25, 2002 #243 Fuel Economy Leaders for 2003 Model Year Light Trucks November 18, 2002 #242 Fuel Economy Leaders for 2003 Model Year Cars November 11, 2002 #238 Automobile and Truck Population by Vehicle Age, 2001 October 14, 2002

168

Fact #854 January 5, 2015 Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles – Dataset  

Broader source: Energy.gov [DOE]

Excel file with dataset for Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles

169

Modelling and control of a symmetric flapping wing vehicle: an optimal control approach  

E-Print Network [OSTI]

This thesis presents a method for designing a flapping wing stroke for a flapping wing vehicle. A flapping wing vehicle is a vehicle such as a bird or an insect that uses its wings for propulsion instead of a conventional propeller or a jet engine...

Jackson, Justin Patrick

2009-05-15T23:59:59.000Z

170

Modelling market diffusion of electric vehicles with real world driving data — Part I: Model structure and validation  

Science Journals Connector (OSTI)

Abstract The future market diffusion of electric vehicles (EVs) is of great importance for transport related green house gas emissions and energy demand. But most studies on the market diffusion of \\{EVs\\} focus on average driving patters and neglect the great variations in daily driving of individuals present in real-world driving data. Yet these variations are important for \\{EVs\\} since range limitations and the electric driving share of plug-in hybrids strongly impact the economic evaluation and consumer acceptance of EVs. Additionally, studies often focus on private cars only and neglect that commercial buyers account for relevant market shares in vehicle sales. Here, we propose a detailed, user specific model for the market diffusion of \\{EVs\\} and evaluation of EV market diffusion policies based on real-world driving data. The data and model proposed include both private and commercial users in Germany and allow the calculation of realistic electric driving shares for all usage patterns. The proposed model explicitly includes user heterogeneity in driving behaviour, different user groups, psychological aspects and the effect of charge-at-home options. Our results show that the proposed model reproduces group specific market shares, gives confidence bands of market shares and simulates individual electric driving shares.

Patrick Plötz; Till Gnann; Martin Wietschel

2014-01-01T23:59:59.000Z

171

Smith Electric Vehicles: Advanced Vehicle Electrification + Transporta...  

Broader source: Energy.gov (indexed) [DOE]

Smith Electric Vehicles: Advanced Vehicle Electrification + Transportation Sector Electrification Smith Electric Vehicles: Advanced Vehicle Electrification + Transportation Sector...

172

Household demand and willingness to pay for hybrid vehicles  

Science Journals Connector (OSTI)

Abstract This paper quantitatively evaluates consumers' willingness to pay for hybrid vehicles by estimating the demand of hybrid vehicles in the U.S. market. Using micro-level data on consumer purchases of hybrid and non-hybrid vehicles from National Household Travel Survey 2009, this paper formulates a mixed logit model of consumers' vehicle choices. Parameter estimates are then used to evaluate consumers' willingness to pay for hybrids. Results suggest that households' willingness to pay for hybrids ranges from $963 to $1718 for different income groups, which is significantly lower than the average price premium (over $5000) of hybrid vehicles, even when taking the fuel costs savings of hybrid vehicles into consideration. The differences reveal that although the market has shown increasing interest in hybrid vehicles, consumers' valuation of the hybrid feature is still not high enough to compensate for the price premium when they make new purchases. Policy simulations are conducted to examine the effects of raising federal tax incentives on the purchase of hybrid vehicles.

Yizao Liu

2014-01-01T23:59:59.000Z

173

Well-to-wheel Energy Consumption and Pollutant Emissions Comparison between Electric and Non-electric Vehicles: a Modeling Approach  

Science Journals Connector (OSTI)

Although electric vehicles (EVs) gain more and more popularity these years, the issue on whether they are really more environmentally and ecologically sound than non-electric vehicles, e.g. gasoline and diesel fuel burned internal combustion engine (ICE) vehicles has become a heat-debated one. This paper outlines an assessment model which intends to compare well-to-wheel energy consumption and pollutant emissions between \\{EVs\\} and non-electric ones, using Analytic Hierarchy Process (AHP) technique based on the potential environmental and ecological impact. The modeling in this case predicted that from the perspective of total energy consumption and pollution, further improvements are still necessary for the feasibility and widespread use of EVs.

Z.J. Li; X.L. Chen; M. Ding

2012-01-01T23:59:59.000Z

174

HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution) Model Analysis  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

HyDIVE(tm) HyDIVE(tm) (Hydrogen Dynamic Infrastructure and Vehicle Evolution) model analysis Cory Welch Hydrogen Analysis Workshop, August 9-10 Washington, D.C. Disclaimer and Government License This work has been authored by Midwest Research Institute (MRI) under Contract No. DE- AC36-99GO10337 with the U.S. Department of Energy (the "DOE"). The United States Government (the "Government") retains and the publisher, by accepting the work for publication, acknowledges that the Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for Government purposes. Neither MRI, the DOE, the Government, nor any other agency thereof, nor any of their

175

Hydrogen as a fuel for fuel cell vehicles: A technical and economic comparison  

SciTech Connect (OSTI)

All fuel cells currently being developed for near term use in vehicles require hydrogen as a fuel. Hydrogen can be stored directly or produced onboard the vehicle by reforming methanol, ethanol or hydrocarbon fuels derived from crude oil (e.g., Diesel, gasoline or middle distillates). The vehicle design is simpler with direct hydrogen storage, but requires developing a more complex refueling infrastructure. In this paper, the authors compare three leading options for fuel storage onboard fuel cell vehicles: compressed gas hydrogen storage; onboard steam reforming of methanol; onboard partial oxidation (POX) of hydrocarbon fuels derived from crude oil. Equilibrium, kinetic and heat integrated system (ASPEN) models have been developed to estimate the performance of onboard steam reforming and POX fuel processors. These results have been incorporated into a fuel cell vehicle model, allowing us to compare the vehicle performance, fuel economy, weight, and cost for various fuel storage choices and driving cycles. A range of technical and economic parameters were considered. The infrastructure requirements are also compared for gaseous hydrogen, methanol and hydrocarbon fuels from crude oil, including the added costs of fuel production, storage, distribution and refueling stations. Considering both vehicle and infrastructure issues, the authors compare hydrogen to other fuel cell vehicle fuels. Technical and economic goals for fuel cell vehicle and hydrogen technologies are discussed. Potential roles for hydrogen in the commercialization of fuel cell vehicles are sketched.

Ogden, J.; Steinbugler, M.; Kreutz, T. [Princeton Univ., NJ (United States). Center for Energy and Environmental Studies

1997-12-31T23:59:59.000Z

176

Drive Cycle Powertrain Efficiencies and Trends Derived From EPA Vehicle Dynamometer Results  

SciTech Connect (OSTI)

Vehicle manufacturers among others are putting great emphasis on improving fuel economy (FE) of light-duty vehicles in the U.S. market, with significant FE gains being realized in recent years. The U.S. Environmental Protection Agency (EPA) data indicates that the aggregate FE of vehicles produced for the U.S. market has improved by over 20% from model year (MY) 2005 to 2013. This steep climb in FE includes changes in vehicle choice, improvements in engine and transmission technology, and reducing aerodynamic drag, rolling resistance, and parasitic losses. The powertrain related improvements focus on optimizing in-use efficiency of the transmission and engine as a system, and may make use of what is termed downsizing and/or downspeeding. This study explores quantifying recent improvements in powertrain efficiency, viewed separately from other vehicle alterations and attributes (noting that most vehicle changes are not completely independent). A methodology is outlined to estimate powertrain efficiency for the U.S city and highway cycle tests using data from the EPA vehicle database. Comparisons of common conventional gasoline powertrains for similar MY 2005 and 2013 vehicles are presented, along with results for late-model hybrid electric vehicles, the Nissan Leaf, Chevy Volt and other selected vehicles.

Thomas, John F [ORNL

2014-01-01T23:59:59.000Z

177

Timeline for Customer Choices  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

detail) 2008 - CONTRACT SIGNING * Core Purchase Obligation Choice (section 3 in body) o Load Following o Block (with or without Shaping Capacity) Choice of Monthly and Diurnal...

178

Vehicle Technologies Office's Research Recognized by R&D 100...  

Office of Environmental Management (EM)

Vehicles Home About Vehicle Technologies Office Plug-in Electric Vehicles & Batteries Fuel Efficiency & Emissions Alternative Fuels Modeling, Testing, Data & Results Education...

179

EcoCAR 3 Pushes the Vehicle Efficiency Envelope | Department...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

III Vehicles Home About Vehicle Technologies Office Plug-in Electric Vehicles & Batteries Fuel Efficiency & Emissions Alternative Fuels Modeling, Testing, Data & Results Education...

180

Model-Free Learning-Based Online Management of Hybrid Electrical Energy Storage Systems in Electric Vehicles  

E-Print Network [OSTI]

Model-Free Learning-Based Online Management of Hybrid Electrical Energy Storage Systems in Electric@elpl.snu.ac.kr Abstract--To improve the cycle efficiency and peak output power density of energy storage systems in electric vehicles (EVs), supercapacitors have been proposed as auxiliary energy storage elements

Pedram, Massoud

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Vehicle Technologies Office Merit Review 2014: Chemical Kinetic Models for Advanced Engine Combustion  

Broader source: Energy.gov [DOE]

Presentation given by Lawrence Livermore National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

182

Vehicle Technologies Office Merit Review 2014: Cell Analysis, Modeling, and Prototyping (CAMP) Facility Research Activities  

Broader source: Energy.gov [DOE]

Presentation given by Argonne National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about cell analysis,...

183

Vehicle Technologies Office Merit Review 2014: Emissions Modeling: GREET Life Cycle Analysis  

Broader source: Energy.gov [DOE]

Presentation given by Argonne National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about emissions...

184

Vehicle Technologies Office Merit Review 2014: Unified Modeling, Simulation, and Market Implications: FASTSim and ADOPT  

Broader source: Energy.gov [DOE]

Presentation given by National Renewable Energy Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about the...

185

Vehicle Technologies Office Merit Review 2014: Development of Thermoplastic Pultrusion with Modeling and Experiments  

Broader source: Energy.gov [DOE]

Presentation given by University of Alabama at Birmingham at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

186

Modeling and Optimization of PEMFC Systems and its Application to Direct Hydrogen Fuel Cell Vehicles  

E-Print Network [OSTI]

operating conditions. Direct Hydrogen Fuel Cell System Modelconditions for a direct hydrogen fuel cell system Table 1simulation tool for hydrogen fuel cell vehicles, Journal of

Zhao, Hengbing; Burke, Andy

2008-01-01T23:59:59.000Z

187

Vehicle Technologies Office Merit Review 2014: Electrochemical Modeling of LMR-NMC Materials and Electrodes  

Broader source: Energy.gov [DOE]

Presentation given by Argonne National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about electrochemical...

188

Analytical models to evaluate system performance measures for vehicle based material-handling systems under various dispatching policies  

E-Print Network [OSTI]

are considered. Those are workcenter-initiated vehicle dispatching rules and vehicle-initiated vehicle dispatching rules. For the workcenterinitiated vehicle dispatching rule, the Closest Transporter Allocation Rule (CTAR) was used to assign empty transporters...

Lee, Moonsu

2005-08-29T23:59:59.000Z

189

Vehicle Technologies Office: Favorites  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Favorites Favorites #248 Top Ten Net Petroleum Importing Countries, 2000 December 23, 2002 #246 U.S. Oil Imports - Top 10 Countries of Origin December 9, 2002 #244 Sport Utility Vehicle Spotlight November 25, 2002 #243 Fuel Economy Leaders for 2003 Model Year Light Trucks November 18, 2002 #242 Fuel Economy Leaders for 2003 Model Year Cars November 11, 2002 #238 Automobile and Truck Population by Vehicle Age, 2001 October 14, 2002 #234 2003 Model Year Alternative Fuel Vehicles September 16, 2002 #233 Vehicles per Thousand People: U.S. Compared to Other Countries September 9, 2002 #230 Hybrid Electric Vehicles in the United States August 19, 2002 #229 Medium and Heavy Truck Sales August 12, 2002 #228 New Light Vehicle Sales Shares, 1976-2001 August 5, 2002

190

IN-VEHICLE, HIGH-POWER ENERGY STORAGE SYSTEMS  

Broader source: Energy.gov (indexed) [DOE]

- electric and hybrid vehicle configurations - vehicle modeling (Autonomie) - fuel cells - Hardware in the Loop (HIL) techniques - power electronics - combustion - controls -...

191

Hybrid Vehicle Technology - Home  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

* Batteries * Batteries * Modeling * Testing Hydrogen & Fuel Cells Materials Modeling, Simulation & Software Plug-In Hybrid Electric Vehicles PSAT Smart Grid Student Competitions Technology Analysis Transportation Research and Analysis Computing Center Working With Argonne Contact TTRDC Hybrid Vehicle Technology revolutionize transportation Argonne's Research Argonne researchers are developing and testing various hybrid electric vehicles (HEVs) and their components to identify the technologies, configurations, and engine control strategies that provide the best combination of high fuel economy and low emissions. Vehicle Validation Argonne also serves as the lead laboratory for hardware-in-the-loop (HIL) and technology validation for the U.S. Department of Energy (DOE). HIL is a

192

Expanding scope of hybrid choice models allowing for mixture of social influences and latent attitudes: Application to intended purchase of electric cars  

Science Journals Connector (OSTI)

Abstract Recently, policy makers’ expectations about the role of electric cars in reducing emissions have risen substantially. In parallel, academic research on purchase intentions has dramatically increased. Originally, most studies have focused on utility attributes and price. More recently, several hybrid choice models have been estimated to include the impact of attitudes on choice probabilities. In addition, a few studies have caught the attention to social influence. In contributing to this line of research, this paper reports the results of an expanded hybrid choice, which simultaneously estimated all these different effects in a single integrated model of purchase intention. Results indicate that the model performs well. Costs considerations contribute most to the utility of electric cars. Social influence is less important, but there is also evidence that people tend to take it into consideration when there are positive public opinions about electric cars and the market share becomes almost half of friends of their social network. The intention to purchase an electric car is also influenced by attitudes about environmental concerns and technology acceptance.

Jinhee Kim; Soora Rasouli; Harry Timmermans

2014-01-01T23:59:59.000Z

193

Proceedings of the International Electronics Packaging Education Conference (at the ECTC), May 30, 2006 Using Teardown Analysis as a Vehicle to Teach Electronic Systems Manufacturing Cost Modeling  

E-Print Network [OSTI]

, 2006 Using Teardown Analysis as a Vehicle to Teach Electronic Systems Manufacturing Cost Modeling Peter product teardowns and reverse engineering ideas has proven to be an effective vehicle for educating engineers involved in the design of electronic systems did not concern themselves with the cost

Sandborn, Peter

194

Modeling of passive thermal management for electric vehicle battery packs with PCM between cells  

Science Journals Connector (OSTI)

Abstract A passive thermal management system is examined for an electric vehicle battery pack. Phase change material (PCM) is infused in foam layers separating the lithium-ion (Li-ion) cells. Known operating conditions lead to selecting a suitable PCM for the application, n-octadecane wax. Suitable porous foam for infusion is decided on through experimentation. Finite volume based simulations are conducted to study the thermal behavior of a 4 cell sub-module. The effect of different discharge rates are compared for this sub-module, with and without the PCM's presence. The results show that the maximum temperature in the system is decreased up to 7.3 K by replacing dry foam with PCM-soaked “wet foam”. The addition of PCM also makes the temperature distribution more uniform across the cells. The modeling results give indication of the quantity of PCM required, show the influence of the transient melt behavior under dynamic operating conditions, and examine design constraints associated with this approach.

N. Javani; I. Dincer; G.F. Naterer; G.L. Rohrauer

2014-01-01T23:59:59.000Z

195

Developing a methodology to account for commercial motor vehicles using microscopic traffic simulation models  

E-Print Network [OSTI]

vehicle (CMV) weight and classification data used as input to critical tasks in transportation design, operations, and planning. The evolution of Intelligent Transportation System (ITS) technologies has been providing transportation engineers and planners...

Schultz, Grant George

2004-09-30T23:59:59.000Z

196

Learning, Modeling, and Understanding Vehicle Surround Using Multi-Modal Sensing /  

E-Print Network [OSTI]

Simon, W. Niehsen, and C. Stiller, “Detection of close cut-Liu, J. Sparbert, and C. Stiller, “Immpda vehicle trackingH. Loose, U. Franke, and C. Stiller, “Kalman particle filter

Sivaraman, Sayanan

2013-01-01T23:59:59.000Z

197

Characterization and modeling of a shape memory allow actuated biomimetic vehicle  

E-Print Network [OSTI]

The development of a biomimetic active hydrofoil that utilizes Shape Memory Alloy (SMA) actuator technology is presented herein. This work is the first stage prototype of a vehicle that will consist of many actuated body segments. The current work...

Garner, Luke Jay

1999-01-01T23:59:59.000Z

198

Vehicle Technologies Office Merit Review 2014: CLEERS: Aftertreatment Modeling and Analysis  

Broader source: Energy.gov [DOE]

Presentation given by Pacific Northwest National Lab at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about CLEERS, a R...

199

Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle  

E-Print Network [OSTI]

mproving the performance of modular, low-cost autonomous underwater vehicles (AUVs) in such applications as long-range oceanographic survey, autonomous docking, and shallow-water mine countermeasures requires improving the ...

Prestero, Timothy (Timothy Jason), 1970-

2001-01-01T23:59:59.000Z

200

Adaptive control of hypersonic vehicles in the presence of modeling uncertainties  

E-Print Network [OSTI]

This paper proposes an adaptive controller for a hypersonic cruise vehicle subject to aerodynamic uncertainties, center-of-gravity movements, actuator saturation, failures, and time-delays. The adaptive control architecture ...

Gibson, Travis Eli

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution) Model Analysis  

Broader source: Energy.gov [DOE]

Presentation by NREL's Cory Welch at the 2010 - 2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure Meeting on August 9 - 10, 2006 in Washington, D.C.

202

Vehicle Technologies Office Merit Review 2014: Modeling for Market Analysis: HTEB, TRUCK, and LVChoice  

Broader source: Energy.gov [DOE]

Presentation given by TA Engineering, Inc. at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about HTEB, TRUCK, and...

203

AVCEM: Advanced Vehicle Cost and Energy Use Model. Overview of AVCEM  

E-Print Network [OSTI]

stack); fuel-cell salvage value (fraction of initial coststack); total cost of vehicle electronics needed specifically for the fuel-cellcosts, expressed as a wage multiplier); specific weight of the fuel-cell stack (

Delucchi, Mark

2005-01-01T23:59:59.000Z

204

Modeling real-time human-automation collaborative scheduling of unmanned vehicles  

E-Print Network [OSTI]

Recent advances in autonomy have enabled a future vision of single operator control of multiple heterogeneous Unmanned Vehicles (UVs). Real-time scheduling for multiple UVs in uncertain environments will require the ...

Clare, Andrew S

2013-01-01T23:59:59.000Z

205

A discrete event simulation model for unstructured supervisory control of unmanned vehicles  

E-Print Network [OSTI]

Most current Unmanned Vehicle (UV) systems consist of teams of operators controlling a single UV. Technological advances will likely lead to the inversion of this ratio, and automation of low level tasking. These advances ...

McDonald, Anthony D. (Anthony Douglas)

2010-01-01T23:59:59.000Z

206

Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle...  

Energy Savers [EERE]

Maximizing Alternative Fuel Vehicle Efficiency Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency Besides their energy security and environmental benefits,...

207

Smith Electric Vehicles: Advanced Vehicle Electrification + Transporta...  

Energy Savers [EERE]

Confidential, 4222013 2013 DOE VEHICLE TECHNOLOGIES PROGRAM REVIEW PRESENTATION Smith Electric Vehicles: Advanced Vehicle Electrification + Transportation Sector Electrification...

208

NREL: Vehicles and Fuels Research - Publications  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Publications Publications NREL researchers document their findings in technical reports, conference papers, journal articles, and fact sheets. Visit the following online resources to find publications about alternative and advanced transportation technologies and systems. NREL Publications Database This database features a wide variety of publications produced by NREL from 1977 to the present. Search the database or find publications according to these popular key words: Advanced vehicles and systems | Alternative fuels | Batteries | Electric vehicles | Energy storage | Fuel cell vehicles | Hybrid electric vehicles | Plug-in electric vehicles | Vehicle analysis | Vehicle modeling | Vehicle emissions Selected Publications Read selected publications related to our vehicles and fuels projects:

209

Which Vehicles Are Tested  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Which Vehicles Are Tested Which Vehicles Are Tested Popular Vehicles Exempt from Federal Fuel Economy Standards Prior to 2011 Pickups SUVs Vans Manufacturer Model Chevrolet Avalanche 2500 Series ¾ Ton Silverado 2500/3500 Series Dodge RAM 2500/3500 Series Ford F-250/350 Series GMC Sierra 2500/3500 Series Manufacturer Model Chevrolet Suburban ¾ Ton* Ford Excursion§ GMC Yukon XL ¾ Ton* Hummer H1§ and H2§ Manufacturer Model Chevrolet Express 2500 Passenger* Express 3500 Cargo Ford E Series Passenger (w/ 6.8L Triton or 6.0L Diesel Engine)* E Series Cargo (w/ 6.8L Triton or 6.0L Diesel Engine) GMC Savanna 2500/3500 Passenger* Savanna 3500 Cargo Note: These vehicles are given as examples. This is not a comprehensive list. * No longer exempt as of 2011 § No longer made Manufacturers do not test every new vehicle offered for sale. They are only

210

AVTA: 2010 Electric Vehicles International Neighborhood Electric Vehicle Testing Results  

Broader source: Energy.gov [DOE]

The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries out testing on a wide range of advanced vehicles and technologies on dynamometers, closed test tracks, and on-the-road. These results provide benchmark data that researchers can use to develop technology models and guide future research and development. The following reports describe testing results of the 2010 Electric Vehicles International neighborhood electric vehicle. Neighborhood electric vehicles reach speeds of no more than 35 miles per hour and are only allowed on roads with speed limits of up to 35 miles per hour. This research was conducted by Idaho National Laboratory.

211

Test and evaluation of the Philips Model PE 1701 and Lester Model 9865 electric vehicle battery chargers  

SciTech Connect (OSTI)

The Philips Model PE 1701 and the Lester Model 9865 electric vehicle battery chargers have been tested by the Tennessee Valley Authority. Charger input/output voltage, current, power characteristics, and input waveform distortion were measured and induced electromagnetic interference was evaluated while the chargers recharged a fully discharged lead-acid battery pack. Electrical quantities were measured with precision volt-ampere-watt meters, frequency counters, a digital storage oscilloscope, and a spectrum analyzer. The Philips charger required 12.2 hours to recharge a 144-V battery; it had an energy efficiency of 86.0 percent and a specific power of 87.4 W/kg (39.7 W/lb). Input current distortion was between 6.9 and 23.0 percent, and electromagnetic interference was observed on AM radio. The Lester charger required 8.2 hours to recharge a 106-V battery; it had an energy efficiency of 83.0 percent and a specific power of 117.3 W/kg (53.3 W/lb). Current distortion was between 52.7 and 97.4 percent, and electromagnetic interference was observed on AM radio.

Reese, R.W.; Driggans, R.L.; Keller, A.S.

1984-04-01T23:59:59.000Z

212

Vehicle Technologies Office: 2009 Advanced Vehicle Technology...  

Office of Environmental Management (EM)

Vehicle Technologies Office: 2009 Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Vehicle...

213

Vehicle Technologies Office: 2013 Archive  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Archive to someone 3 Archive to someone by E-mail Share Vehicle Technologies Office: 2013 Archive on Facebook Tweet about Vehicle Technologies Office: 2013 Archive on Twitter Bookmark Vehicle Technologies Office: 2013 Archive on Google Bookmark Vehicle Technologies Office: 2013 Archive on Delicious Rank Vehicle Technologies Office: 2013 Archive on Digg Find More places to share Vehicle Technologies Office: 2013 Archive on AddThis.com... 2013 Archive #810 Leasing on the Rise December 30, 2013 #809 What Do We Pay for in a Gallon of Gasoline? December 23, 2013 #808 Declining Use of Six- and Eight-Cylinder Engines December 16, 2013 #807 Light Vehicle Weights Leveling Off December 9, 2013 #806 Light Vehicle Market Shares, Model Years 1975-2012 December 2, 2013 #805 Vehicle Technology Penetration November 25, 2013

214

Vehicle Technologies Office Merit Review 2014: Development of Cell/Pack Level Models for Automotive Li-Ion Batteries with Experimental Validation  

Broader source: Energy.gov [DOE]

Presentation given by EC Power at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about evelopment of cell/pack level models...

215

Why Some Vehicles Are Not Listed / 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Understanding the Guide Listings / 1 Understanding the Guide Listings / 1 * Why Some Vehicles Are Not Listed / 1 * Vehicle Classes Used in This Guide / 2 * Tax Incentives and Disincentives / 2 * Why Consider Fuel Economy / 2 * Fueling Options / 3 * Fuel Economy and Annual Fuel Cost Ranges for Vehicle Classes / 3 * Model Year 2011 Fuel Economy Leaders / 4 * 2011 Model Year Vehicles / 6 * Battery Electric Vehicles / 18 * Plug-in Hybrid Electric Vehicles / 19 * Hybrid Electric Vehicles / 20 * Compressed Natural Gas Vehicles / 22 * Diesel Vehicles / 22 * Ethanol Flexible Fuel Vehicles / 24 * Fuel Cell Vehicles / 28 * Index / 29 * USING THE FUEL ECONOMY GUIDE The U.S. Environmental Protection Agency (EPA) and U.S. Department of Energy (DOE) produce the Fuel Economy Guide to help car buyers choose the most fuel-efficient vehicle that meets their

216

Application of Distribution Transformer Thermal Life Models to Electrified Vehicle Charging Loads Using Monte-Carlo Method: Preprint  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Application of Distribution Application of Distribution Transformer Thermal Life Models to Electrified Vehicle Charging Loads Using Monte-Carlo Method Preprint Michael Kuss, Tony Markel, and William Kramer Presented at the 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exhibition Shenzhen, China November 5 - 9, 2010 Conference Paper NREL/CP-5400-48827 January 2011 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes.

217

Vehicle Technologies Office Merit Review 2014: Transportation Energy Transition Modeling and Analysis: the LAVE-Trans Model  

Broader source: Energy.gov [DOE]

Presentation given by Oak Ridge National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about the LAVE-Trans...

218

Full vehicle dynamics model of a formula SAE racecar using ADAMS/Car  

E-Print Network [OSTI]

The Texas A&M University Formula SAE program currently has no rigorous method for analyzing or predicting the overall dynamic behavior of the student-designed racecars. The objective of this study is to fulfill this need by creating a full vehicle...

Mueller, Russell Lee

2005-11-01T23:59:59.000Z

219

Modeling demand for electric vehicles: the effect of car users' attitudes and perceptions  

E-Print Network [OSTI]

electric cars and petrol-driven ones and in particular which include the respondents' own cars to electric cars on vehicle preferences. Opinion and perception data are also collected to capture the impact) and currently, few charging stations and infrastructures are available. The electric car user is hence compelled

Bierlaire, Michel

220

HYBRID ELECTRIC VEHICLE OWNERSHIP AND FUEL ECONOMY ACROSS TEXAS: AN APPLICATION OF SPATIAL MODELS  

E-Print Network [OSTI]

and environmental policies (Koo et al. 2012). While EV sales (including both HEVs and PEVs) have risen considerably significant. If households registering more fuel- efficient vehicles, including hybrid EVs, are also more inclined to purchase plug-in EVs, these #12;findings can assist in spatial planning of charging

Kockelman, Kara M.

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Dynamic modelling and simulation of a polymer electrolyte membrane fuel cell used in vehicle considering heat transfer effects  

Science Journals Connector (OSTI)

Fuel cell technology is recently becoming one of the most interesting fields for the car companies to invest in. This interest is because of their high efficiency and zero environmental pollution. Polymer electrolyte membrane fuel cells are the most appropriate type of fuel cells for use in vehicles due to their low performance temperature and high power density. Air and fuel mass flow rate and partial pressure fuel cell stack temperature relative humidity of fuel cellmembrane and heat and water management are the effective parameters of fuel cellpower systems. Good transient behavior is one of the important factors that affect the success of fuel cell vehicles. In order to avoid stack voltage drop during transient condition the control system of fuel cell vehicle is required to preserve optimal temperature membrane hydration and partial pressure of reactants across the membrane. In this paper we developed a dynamic model for fuel cellpower system. The compressor dynamic supply and return manifold filling dynamics (anode and cathode) cooling system dynamic membrane hydration and time-evolving reactant partial pressure are the most significant parameters in transient and steady state of system. The effects of membrane humidity varying inlet air pressure and compressor performance condition on the generated power are studied in this paper.

S. M. Hosseini; A. H. Shamekhi; A. Yazdani

2012-01-01T23:59:59.000Z

222

Vehicle Technologies Office: Vehicle Technologies Office Recognizes  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Vehicle Technologies Vehicle Technologies Office Recognizes Outstanding Researchers to someone by E-mail Share Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Facebook Tweet about Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Twitter Bookmark Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Google Bookmark Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Delicious Rank Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Digg Find More places to share Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on AddThis.com...

223

Alternative Fuels Data Center: Vehicle Cost Calculator  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Vehicle Cost Vehicle Cost Calculator to someone by E-mail Share Alternative Fuels Data Center: Vehicle Cost Calculator on Facebook Tweet about Alternative Fuels Data Center: Vehicle Cost Calculator on Twitter Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator on Google Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator on Delicious Rank Alternative Fuels Data Center: Vehicle Cost Calculator on Digg Find More places to share Alternative Fuels Data Center: Vehicle Cost Calculator on AddThis.com... Vehicle Cost Calculator Vehicle Cost Calculator This tool uses basic information about your driving habits to calculate total cost of ownership and emissions for makes and models of most vehicles, including alternative fuel and advanced technology vehicles. Also

224

A structural analysis of vehicle design responses to Corporate Average Fuel Economy policy  

Science Journals Connector (OSTI)

The US Corporate Average Fuel Economy (CAFE) regulations are intended to influence automaker vehicle design and pricing choices. CAFE policy has been in effect for the past three decades, and new legislation has raised standards significantly. We present a structural analysis of automaker responses to generic CAFE policies. We depart from prior CAFE analyses by focusing on vehicle design responses in long-run oligopolistic equilibrium, and we view vehicles as differentiated products, taking demand as a general function of price and product attributes. We find that under general cost, demand, and performance functions, single-product profit maximizing firm responses to CAFE standards follow a distinct pattern: firms ignore CAFE when the standard is low, treat CAFE as a vehicle design constraint for moderate standards, and violate CAFE when the standard is high. Further, the point and extent of first violation depends upon the penalty for violation, and the corresponding vehicle design is independent of further standard increases. Thus, increasing CAFE standards will eventually have no further impact on vehicle design if the penalty for violation is also not increased. We implement a case study by incorporating vehicle physics simulation, vehicle manufacturing and technology cost models, and a mixed logit demand model to examine equilibrium powertrain design and price decisions for a fixed vehicle body. Results indicate that equilibrium vehicle design is not bound by current CAFE standards, and vehicle design decisions are directly determined by market competition and consumer preferences. We find that with increased fuel economy standards, a higher violation penalty than the current stagnant penalty is needed to cause firms to increase their design fuel economy at equilibrium. However, the maximum attainable improvement can be modest even if the penalty is doubled. We also find that firms’ design responses are more sensitive to variation in fuel prices than to CAFE standards, within the examined ranges.

Ching-Shin Norman Shiau; Jeremy J. Michalek; Chris T. Hendrickson

2009-01-01T23:59:59.000Z

225

HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution) Model Analysis HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution) Model Analysis Presentation by NREL's...

226

Vehicle Technologies Office: Benchmarking  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Benchmarking Benchmarking Research funded by the Vehicle Technologies Office produces a great deal of valuable data, but it is important to compare those research results with similar work done elsewhere in the world. Through laboratory testing, researchers can compare vehicles and components to validate models, support technical target-setting, and provide data to help guide technology development tasks. Benchmarking activities fall into two primary areas: Vehicle and component testing, in which researchers test and analyze emerging technologies obtained from sources throughout the world. The results are used to continually assess program efforts. Model validation, in which researchers use test data to validate the accuracy of vehicle and component computer models including: overall measures such as fuel economy, state-of-charge energy storage across the driving cycle, and transient component behavior, such as fuel rate and torque.

227

Electric Vehicles  

ScienceCinema (OSTI)

Burak Ozpineci sees a future where electric vehicles charge while we drive them down the road, thanks in part to research under way at ORNL.

Ozpineci, Burak

2014-07-23T23:59:59.000Z

228

Electric Vehicles  

SciTech Connect (OSTI)

Burak Ozpineci sees a future where electric vehicles charge while we drive them down the road, thanks in part to research under way at ORNL.

Ozpineci, Burak

2014-05-02T23:59:59.000Z

229

A REVIEW OF ASSUMPTIONS AND ANALYSIS IN EPRI EA-3409, "HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPS BEHAVIORAL MODELS"  

E-Print Network [OSTI]

construction costs and fuel prices were used to translatethe model to the data. Fuel Price Expectations EPRl's modelswere based on the actual fuel prices faced by the consumer

Wood, D.J.

2010-01-01T23:59:59.000Z

230

Fact #833: August 11, 2014 Fuel Economy Rated Second Most Important Vehicle Attribute  

Broader source: Energy.gov [DOE]

A 2014 survey asked a sample of the U.S. population the question "Which one of the following attributes would be MOST important to you in your choice of your next vehicle?" The choices were fuel...

231

Fact #680: June 20, 2011 Fuel Economy is "Most Important" When Buying a Vehicle  

Broader source: Energy.gov [DOE]

A June 2011 survey asked the question "Which one of the following attributes would be MOST important to you in your choice of your next vehicle?" The choices were fuel economy, dependability, low...

232

E-Print Network 3.0 - advanced vehicle control Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

a resolution of major vehicle components for advanced class vehicles and systems. The Cost Model ASCM estimates... -duty EPA vehicle classes can be considered for the life cycle...

233

Vehicle Technologies Office: 2008 Advanced Vehicle Technology...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

8 Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Vehicle Technologies Office: 2008 Advanced...

234

2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER) Enhanced Aging Model for Supercapacitors taking  

E-Print Network [OSTI]

production from fluctuating renewable energies, especially in the case of direct wave energy conversion2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER) Enhanced in a Direct Wave Energy Converter," Ecological Vehicles and Renewable Energies (EVER), 2014 Ninth

235

Foreseeing the Market for Hydrogen Fuel-Cell Vehicles: Stakeholders' Perspectives and Models of New Technology Diffusion  

E-Print Network [OSTI]

the Market for Hydrogen Fuel-Cell Vehicles: Stakeholders’dual superiority of hydrogen fuel-cell vehicles (FCVs) hasneeded to position the hydrogen-fuel cell combination as a

Collantes, Gustavo O

2005-01-01T23:59:59.000Z

236

FORESEEING THE MARKET FOR HYDROGEN FUEL-CELL VEHICLES: STAKEHOLDERS’ PERSPECTIVES AND MODELS OF NEW TECHNOLOGY DIFFUSION  

E-Print Network [OSTI]

the Market for Hydrogen Fuel-Cell Vehicles: Stakeholders’dual superiority of hydrogen fuel-cell vehicles (FCVs) hasneeded to position the hydrogen-fuel cell combination as a

Collantes, Gustavo

2005-01-01T23:59:59.000Z

237

Vehicle Technologies Office: Upcoming Events | Department of...  

Energy Savers [EERE]

Electric Vehicles & Batteries Fuel Efficiency & Emissions Alternative Fuels Modeling, Testing, Data & Results Education & Workforce Development Financial Opportunities News Events...

238

Diesel Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Vehicles Vehicles Audi A3 Diesel vehicles may be making a comeback. Diesel engines are more powerful and fuel-efficient than similar-sized gasoline engines (about 30-35% more fuel efficient). Plus, today's diesel vehicles are much improved over diesels of the past. Better Performance Improved fuel injection and electronic engine control technologies have Increased power Improved acceleration Increased efficiency New engine designs, along with noise- and vibration-damping technologies, have made them quieter and smoother. Cold-weather starting has been improved also. Cleaner Mercedes ML320 BlueTEC Today's diesels must meet the same emissions standards as gasoline vehicles. Advances in engine technologies, ultra-low sulfur diesel fuel, and improved exhaust treatment have made this possible.

239

OR Forum---Modeling the Impacts of Electricity Tariffs on Plug-In Hybrid Electric Vehicle Charging, Costs, and Emissions  

Science Journals Connector (OSTI)

Plug-in hybrid electric vehicles (PHEVs) have been touted as a transportation technology with lower fuel costs and emissions impacts than other vehicle types. Most analyses of PHEVs assume that the power system operator can either directly or indirectly ... Keywords: environment, plug-in hybrid electric vehicles, pricing

Ramteen Sioshansi

2012-05-01T23:59:59.000Z

240

Why Some Vehicles Are Not Listed / 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Tax Incentives and Disincentives / 2 * Why Consider Fuel Economy / 2 * Fueling Options / 2 * Fuel Economy and Annual Fuel Cost Ranges for Vehicle Classes / 3 * Model Year 2012 Fuel Economy Leaders / 4 * 2012 Model Year Vehicles / 5 * Diesel Vehicles / 25 * Compressed Natural Gas Vehicles / 25 * Electric Vehicles / 26 * Hybrid Electric Vehicles / 27 * Plug-in Hybrid Electric Vehicles / 29 * Ethanol Flexible Fuel Vehicles / 30 * Fuel Cell Vehicles / 35 * Index / 36 * USING THE FUEL ECONOMY GUIDE The U.S. Environmental Protection Agency (EPA) and U.S. Department of Energy (DOE) produce the Fuel Economy Guide to help car buyers choose the most fuel-efficient vehicle that meets their needs. The Guide is published in print and on the Web at www.fueleconomy.gov. For additional print copies,please call

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Vehicle Technologies Office: 2007 Archive  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

7 Archive to someone 7 Archive to someone by E-mail Share Vehicle Technologies Office: 2007 Archive on Facebook Tweet about Vehicle Technologies Office: 2007 Archive on Twitter Bookmark Vehicle Technologies Office: 2007 Archive on Google Bookmark Vehicle Technologies Office: 2007 Archive on Delicious Rank Vehicle Technologies Office: 2007 Archive on Digg Find More places to share Vehicle Technologies Office: 2007 Archive on AddThis.com... 2007 Archive #499 Alternative Fuel Models: Gains and Losses December 10, 2007 #498 New Light Vehicle Fuel Economy December 3, 2007 #497 Fuel Drops to Third Place in the Trucking Industry Top Ten Concerns November 26, 2007 #496 Diesel Prices in the U.S. and Selected Countries: Cost and Taxes November 19, 2007 #495 Oil Price and Economic Growth, 1971-2006 November 12, 2007

242

Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration  

Science Journals Connector (OSTI)

Electric vehicles (EVs) and renewable energy sources offer the potential to substantially decrease carbon emissions from both the transportation and power generation sectors of the economy. Mass adoption of \\{EVs\\} will have a number of impacts and benefits, including the ability to assist in the integration of renewable energy into existing electric grids. This paper reviews the current literature on EVs, the electric grid, and renewable energy integration. Key methods and assumptions of the literature are discussed. The economic, environmental and grid impacts of \\{EVs\\} are reviewed. Numerous studies assessing the ability of \\{EVs\\} to integrate renewable energy sources are assessed; the literature indicates that \\{EVs\\} can significantly reduce the amount of excess renewable energy produced in an electric system. Studies on wind–EV interaction are much more detailed than those on solar photovoltaics (PV) and EVs. The paper concludes with recommendations for future research.

David B. Richardson

2013-01-01T23:59:59.000Z

243

Cluster-continuum quantum mechanical models to guide the choice of anions for Li{sup +}-conducting ionomers  

SciTech Connect (OSTI)

A quantum-mechanical investigation on Li poly(ethylene oxide)-based ionomers was performed in the cluster-continuum solvation model (CCM) that includes specific solvation in the first shell surrounding the cation, all surrounded by a polarizable continuum. A four-state model, including a free Li cation, Li{sup +}-anion pair, triple ion, and quadrupole was used to represent the states of Li{sup +} within the ionomer in the CCM. The relative energy of each state was calculated for Li{sup +} with various anions, with dimethyl ether representing the ether oxygen solvation. The population distribution of Li{sup +} ions among states was estimated by applying Boltzmann statistics to the CCM energies. Entropy difference estimates are needed for populations to better match the true ionomer system. The total entropy change is considered to consist of four contributions: translational, rotational, electrostatic, and solvent immobilization entropies. The population of ion states is reported as a function of Bjerrum length divided by ion-pair separation with/without entropy considered to investigate the transition between states. Predicted concentrations of Li{sup +}-conducting states (free Li{sup +} and positive triple ions) are compared among a series of anions to indicate favorable features for design of an optimal Li{sup +}-conducting ionomer; the perfluorotetraphenylborate anion maximizes the conducting positive triple ion population among the series of anions considered.

Shiau, Huai-Suen; Janik, Michael J. [Department of Chemical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802 (United States)] [Department of Chemical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802 (United States); Liu, Wenjuan; Colby, Ralph H. [Department of Materials Science and Engineering, Pennsylvania State University, University Park, Pennsylvania 16802 (United States)] [Department of Materials Science and Engineering, Pennsylvania State University, University Park, Pennsylvania 16802 (United States)

2013-11-28T23:59:59.000Z

244

Modeling the transient operation of an endothermic fuel cooling system for high Mach number vehicle missions.  

E-Print Network [OSTI]

??A computer model was developed to simulate the transient operation of a hypothetical endothermic fuel cooling system. The model simulated the performance of a cross-flow,… (more)

Williams, Mark Robert

2012-01-01T23:59:59.000Z

245

Can innovative business models overcome resistance to electric vehicles? Better Place and battery electric cars in Denmark  

Science Journals Connector (OSTI)

This paper explores the geographical and policy context for an emergent business model from Better Place to deliver battery electric car mobility in Denmark. It argues that the combination of radically different technologies and a highly complex multi-agency operating environment theoretically provide the conditions and requirements for such an emergent business model. While focused on battery electric cars, renewable energy generation and smart grids, the paper has wider applicability to an understanding of the interplay between place, innovation and sustainability which suggests that diverse solutions are likely to be the characteristic solution rather than ubiquity and standardization. The paper argues, however, that the innovative business model, the deployment of electric vehicles, and the use of renewable energy systems, in this case largely based on wind power, while mutually supportive and contributing to wider policy aims with respect to the reduction of carbon emissions, may still fail in the face of entrenched practices. At the theoretical level it is concluded that theorization of business models needs a broader perspective beyond the typical ‘value creation, value capture’ rubric to better understand the wider role such models have in meeting societal goals, and to understand the structural impediments to organizational and technical innovation.

Thomas Budde Christensen; Peter Wells; Liana Cipcigan

2012-01-01T23:59:59.000Z

246

Vehicle Technologies Office: Key Activities in Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Key Activities in Key Activities in Vehicles to someone by E-mail Share Vehicle Technologies Office: Key Activities in Vehicles on Facebook Tweet about Vehicle Technologies Office: Key Activities in Vehicles on Twitter Bookmark Vehicle Technologies Office: Key Activities in Vehicles on Google Bookmark Vehicle Technologies Office: Key Activities in Vehicles on Delicious Rank Vehicle Technologies Office: Key Activities in Vehicles on Digg Find More places to share Vehicle Technologies Office: Key Activities in Vehicles on AddThis.com... Key Activities Mission, Vision, & Goals Plans, Implementation, & Results Organization & Contacts National Laboratories Budget Partnerships Key Activities in Vehicles We conduct work in four key areas to develop and deploy vehicle technologies that reduce the use of petroleum while maintaining or

247

VEHICLE SPECIFICATIONS  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Page 1 of 5 Page 1 of 5 VEHICLE SPECIFICATIONS 1 Vehicle Features Base Vehicle: 2011 Nissan Leaf VIN: JN1AZ0CP5BT000356 Class: Mid-size Seatbelt Positions: 5 Type: EV Motor Type: Three-Phase, Four-Pole Permanent Magnet AC Synchronous Max. Power/Torque: 80 kW/280 Nm Max. Motor Speed: 10,390 rpm Cooling: Active - Liquid cooled Battery Manufacturer: Automotive Energy Supply Corporation Type: Lithium-ion - Laminate type Cathode/Anode Material: LiMn 2 O 4 with LiNiO 2 /Graphite Pack Location: Under center of vehicle Number of Cells: 192 Cell Configuration: 2 parallel, 96 series Nominal Cell Voltage: 3.8 V Nominal System Voltage: 364.8 V Rated Pack Capacity: 66.2 Ah Rated Pack Energy: 24 kWh Max. Cell Charge Voltage 2 : 4.2 V Min. Cell Discharge Voltage 2 : 2.5 V

248

Capital structure choices  

Science Journals Connector (OSTI)

Corporate finance theory provides a number of competing hypotheses for explaining the capital structure choice of firms. The major ones are the 'trade-off' theory, which hypothesises an optimal combination of debt and equity capital, and the 'pecking-order' theory, which suggests a ranking order between different types of capital making a firm's capital structure an aggregated result of successive financial decisions. Previous studies find evidence both supporting and contradicting the two theories. We examine the role and importance of different firm characteristics as well as to what extent managers in Swedish firms make capital structure choices in accordance with the theories and are affected by concepts like optimal capital structure, financial hierarchy, windows of opportunity, signalling, asymmetric information and flexibility. Our conclusion is that capital structure choices are built on a balancing notion suggesting a revised trade-off theory or alternatively an extended pecking order theory also incorporating agency costs and signalling.

Ted Lindblom; Gert Sandahl; Stefan Sjogren

2011-01-01T23:59:59.000Z

249

Improving efficiency of a vehicle HVAC system with comfort modeling, zonal design, and thermoelectric devices  

Broader source: Energy.gov [DOE]

Discusses progress on thermal comfort modeling and detailed design, fabrication, and component/system-level testing of TE architecture

250

VEHICLE SPECIFICATIONS Vehicle Features  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Mazda 3 Mazda 3 VIN: JMZBLA4G601111865 Seatbelt Positions: 5 Standard Features: Air Conditioning Power Locks Power Steering Power Brakes Power Windows Cruise Control Front Disc Brakes Rear Disc Brakes Front Wheel Drive Anti-Lock Brakes Traction Control Air Bags AM/FM Stereo with CD Weights Design Curb Weight: 2,954 lb Delivered Curb Weight: 2,850 lb Distribution F/R (%): 63/37 GVWR: 4,050 lb GAWR F/R: 2,057/1,896 lb Payload 1 : 1,096 lb Performance Goal: 400 lb Dimensions Wheelbase: 103.9 in Track F/R: 60.4/59.8 in Length: 175.6 in Width: 69.1 in Height: 57.9 in Ground Clearance: 6.1 in Performance Goal: 5.0 in Tires Manufacturer: Yokohama Model: YK520 Size: P205/55R17 Pressure F/R: 35/33 psi

251

Improving the Efficiency of Light-Duty Vehicle HVAC Systems using Zonal Thermoelectric Devices and Comfort Modeling  

Broader source: Energy.gov [DOE]

Summarizes results from a study to identify and demonstrate technical and commercial approaches necessary to accelerate the deployment of zonal TE HVAC systems in light-duty vehicles

252

Vehicle Technologies Office Merit Review 2014: Advancement in Fuel Spray and Combustion Modeling for Compression Ignition Engine Applications  

Broader source: Energy.gov [DOE]

Presentation given by Argonne National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about advancement in...

253

Vehicle Technologies Office Merit Review 2014: Significant Enhancement of Computational Efficiency in Nonlinear Multiscale Battery Model for Computer Aided Engineering  

Broader source: Energy.gov [DOE]

Presentation given by NREL at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about significant enhancement of computational...

254

Vehicle Technologies Office Merit Review 2014: Accelerating the Evaluation and Market Introduction of Advanced Technologies Through Model Based System Engineering  

Broader source: Energy.gov [DOE]

Presentation given by Argonne National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about accelerating the...

255

Vehicle Technologies Office Merit Review 2014: Reassessing the Outlook of US Oil Dependence Using Oil Security Metrics Model (OSMM)  

Broader source: Energy.gov [DOE]

Presentation given by Oak Ridge National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about reassessing ...

256

Consumer Choice and Dempster-Shafer Models of Threat Prioritization for Emerging Dual-Use Technologies: Their Application to Synthetic Biology  

SciTech Connect (OSTI)

Identification and prioritization of risks to international security associated with emerging dual-use technologies presents numerous challenges. First, it demands prediction of the evolving states-of-the-art in various technological fields and, second, it requires a comprehension of the motivations and prospective selection criteria that illicit users might adopt in choosing among new technologies and their means of deployment. Nevertheless, the identification and prioritization of such threats is critical in establishing the appropriate focal points for proactive, nonproliferation policy-making. This paper addresses the question of how the threats associated with alternative means of deploying an emerging technology might be prioritized. The method revolves around systematic identification of the technological barriers to an illicit user in deploying a new technology. Evaluation of the resources necessary to overcome the barriers - such acquisition of the necessary intellectual capital and laboratory assets - then provides the basis for assessing the relative likelihoods or plausibilities of various deployment scenarios. Two optional bases are outlined for quantification of the model. One is a choice model that has found application in the analysis of consumer behavior, where the illicit user is modeled essentially as a consumer of new technology. The other employs a Dempster-Shafer framework for priority characterization. The paper describes application of the methodology to emerging life science technologies; in particular, to synthetic biology - the means of engineering biological systems. The prospect of a terrorist being able to synthesize natural pathogens or, perhaps worse still, to engineer pathogens not present in nature, creates an unprecedented threat to international security. Use of the proposed methodology to identify and prioritize threats associated with the engineering of pathogens is described.

Unwin, Stephen D.; Fecht, Barbara A.

2009-03-01T23:59:59.000Z

257

Design of battery pack and internal combustion engine thermal models for hybrid electric vehicles.  

E-Print Network [OSTI]

?? This thesis focuses on the design of computational models, capable of simulating the thermal behaviour of a battery pack and internal combustion engine equipping… (more)

Catacchio, Gabriele

2013-01-01T23:59:59.000Z

258

Liu, Z., H.C. Frey, Y. Cao, and B. Deshpande, "Modeling of In-vehicle PM2.5 Exposure Using the Stochastic Human Exposure and Dose Simulation Model," Paper 2009-A-238-AWMA, Proceedings, 102nd  

E-Print Network [OSTI]

the Stochastic Human Exposure and Dose Simulation Model," Paper 2009-A-238-AWMA, Proceedings, 102nd Annual of In-vehicle PM2.5 Exposure Using the Stochastic Human Exposure and Dose Simulation Model Paper: 2009-A in the current version of Stochastic Exposure and Dose Simulation model for Particulate Matter (SHEDS-PM) for in

Frey, H. Christopher

259

VEHICLE SPECIFICATIONS  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

VEHICLE SPECIFICATIONS 1 Vehicle Features Base Vehicle: 2011 Chevrolet Volt VIN: 1G1RD6E48BUI00815 Class: Compact Seatbelt Positions: 4 Type 2 : Multi-Mode PHEV (EV, Series, and Power-split) Motor Type: 12-pole permanent magnet AC synchronous Max. Power/Torque: 111 kW/370 Nm Max. Motor Speed: 9500 rpm Cooling: Active - Liquid cooled Generator Type: 16-pole permanent magnet AC synchronous Max. Power/Torque: 55 kW/200 Nm Max. Generator Speed: 6000 rpm Cooling: Active - Liquid cooled Battery Manufacturer: LG Chem Type: Lithium-ion Cathode/Anode Material: LiMn 2 O 4 /Hard Carbon Number of Cells: 288 Cell Config.: 3 parallel, 96 series Nominal Cell Voltage: 3.7 V Nominal System Voltage: 355.2 V Rated Pack Capacity: 45 Ah Rated Pack Energy: 16 kWh Weight of Pack: 435 lb

260

Vehicle Technologies Office: Batteries  

Broader source: Energy.gov [DOE]

Improving the batteries for electric drive vehicles, including hybrid electric (HEV) and plug-in electric (PEV) vehicles, is key to improving vehicles' economic, social, and environmental...

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Vehicles News  

Broader source: Energy.gov (indexed) [DOE]

news Office of Energy Efficiency & news Office of Energy Efficiency & Renewable Energy Forrestal Building 1000 Independence Avenue, SW Washington, DC 20585 en Energy Department Announces $45 Million to Advance Next-Generation Vehicle Technologies http://energy.gov/eere/articles/energy-department-announces-45-million-advance-next-generation Energy Department Announces $45 Million to Advance Next-Generation Vehicle Technologies

262

VISION Model: Description of Model Used to Estimate the Impact of Highway Vehicle Technologies and Fuels on Energy Use and Carbon Emissions to 2050  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ESD/04-1 ESD/04-1 VISION Model: Description of Model Used to Estimate the Impact of Highway Vehicle Technologies and Fuels on Energy Use and Carbon Emissions to 2050 Center for Transportation Research Argonne National Laboratory Operated by The University of Chicago, under Contract W-31-109-Eng-38, for the United States Department of Energy Argonne National Laboratory, a U.S. Department of Energy Office of Science laboratory, is operated by The University of Chicago under contract W-31-109-Eng-38. DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor The University of Chicago, nor any of their employees or officers, makes any warranty, express or implied, or assumes

263

Fact #814: January 27, 2014 More Choices when Buying Vehicles...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

34 1 14 1 20 0 0 - 70 2011 72 1 16 2 29 0 0 - 120 2012 62 6 17 6 31 1 1 - 124 2013 84 11 20 15 38 6 1 - 175 Data Source: U.S. Department of Energy, Alternative Fuels Data Center...

264

Simplified Heat Generation Model for Lithium ion battery used in Electric Vehicle  

Science Journals Connector (OSTI)

It is known that temperature variations inside a battery may greatly affect its performance, life, and reliability. In an effort to gain a better understanding of the heat generation in Lithium ion batteries, a simple heat generation models were constructed in order to predict the thermal behaviour of a battery pack. The Lithium ion battery presents in this paper is Lithium Iron Phosphate (LiFePO4). The results show that the model can be viewed as an acceptable approximation for the variation of the battery pack temperature at a continuous discharge current from data provided by the manufacturer and literature.

Nur Hazima Faezaa Ismail; Siti Fauziah Toha; Nor Aziah Mohd Azubir; Nizam Hanis Md Ishak; Mohd Khair Hassan; Babul Salam Ksm Ibrahim

2013-01-01T23:59:59.000Z

265

Why Some Vehicles Are Not Listed / 1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Tax Incentives and Disincentives / 2 Tax Incentives and Disincentives / 2 * Why Consider Fuel Economy / 2 * Fueling Options / 2 * Fuel Economy and Annual Fuel Cost Ranges for Vehicle Classes / 3 * Model Year 2010 Fuel Economy Leaders / 4 * 2010 Model Year Vehicles / 5 * Hybrid-Electric Vehicles / 16 * Ethanol Flexible Fuel Vehicles / 17 * Diesel Vehicles / 20 * Compressed Natural Gas Vehicles / 21 * Fuel Cell Vehicles / 21 * Index / 22 * USING THE FUEL ECONOMY GUIDE The U.S. Environmental Protection Agency (EPA) and U.S. Department of Energy (DOE) produce the Fuel Economy Guide to help car buyers choose the most fuel- efficient vehicle that meets their needs. The Guide is published in print and on the Web at www.fueleconomy.gov. For additional print copies, please call the EERE Information Center at 1-877-337- 3463 or mail your request to EERE

266

Clean Cities 2011 Vehicle Buyer's Guide  

SciTech Connect (OSTI)

The 2011 Clean Cities Light-Duty Vehicle Buyer's Guide is a consumer publication that provides a comprehensive list of commercially available alternative fuel and advanced vehicles in model year 2011. The guide allows for side-by-side comparisons of fuel economy, price, emissions, and vehicle specifications.

Not Available

2011-01-01T23:59:59.000Z

267

IMPACTT5A model : enhancements and modifications since December 1994 - with special reference to the effect of tripled-fuel-economy vehicles on fuel-cycle energy and emissions.  

SciTech Connect (OSTI)

Version 5A of the Integrated Market Penetration and Anticipated Cost of Transportation Technologies (IMPACTT5A) model is a spreadsheet-based set of algorithms that calculates the effects of advanced-technology vehicles on baseline fuel use and emissions. Outputs of this Argonne National Laboratory-developed model include estimates of (1) energy use and emissions attributable to conventional-technology vehicles under a baseline scenario and (2) energy use and emissions attributable to advanced- and conventional-technology vehicles under an alternative market-penetration scenario. Enhancements to IMPACIT made after its initial documentation in December 1994 have enabled it to deal with a wide range of fuel and propulsion system technologies included in Argonne's GREET model in a somewhat modified three-phased approach. Vehicle stocks are still projected in the largely unchanged STOCK module. Vehicle-miles traveled, fuel use, and oil displacement by advanced-technology vehicles are projected in an updated USAGE module. Now, both modules can incorporate vehicle efficiency and fuel share profiles consistent with those of the Partnership for a New Generation of Vehicles. Finally, fuel-cycle emissions of carbon monoxide, volatile organic compounds, nitrogen oxides, toxics, and greenhouse gases are computed in the EMISSIONS module via an interface with the GREET model that was developed specifically to perform such calculations. Because of this interface, results are now more broadly informative than were results from earlier versions of IMPACTT.

Mintz, M. M.; Saricks, C. L.

1999-08-28T23:59:59.000Z

268

Advanced Vehicle Testing & Evaluation  

Broader source: Energy.gov (indexed) [DOE]

Provide benchmark data for advanced technology vehicles Develop lifecycle cost data for production vehicles utilizing advanced power trains Provide fleet...

269

Vehicle Technologies Office: 2010 Vehicle and Systems Simulation and Testing R&D Annual Progress Report  

Broader source: Energy.gov [DOE]

2010 annual report focusing on five main areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization.

270

Vehicle Technologies Office: 2013 Vehicle and Systems Simulation and Testing R&D Annual Progress Report  

Broader source: Energy.gov [DOE]

FY 2013 annual report focuses on the following areas: vehicle modeling and simulation, component and systems evaluations, laboratory and field evaluations, codes and standards, industry projects, and vehicle systems optimization.

271

Vehicle Technologies Office: 2011 Vehicle and Systems Simulation and Testing R&D Annual Progress Report  

Broader source: Energy.gov [DOE]

FY 2011 annual report focusing on five main areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization.

272

Vehicle Technologies Office: 2012 Vehicle and Systems Simulation and Testing R&D Annual Progress Report  

Broader source: Energy.gov [DOE]

FY 2012 annual report focusing on five main areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization.

273

Vehicle Technologies Office Merit Review 2014: Efficient Safety and Degradation Modeling of Automotive Li-ion Cells and Pack  

Broader source: Energy.gov [DOE]

Presentation given by EC Power at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about efficient safety and degradation...

274

Vehicle Technologies Office Merit Review 2014: Heavy-Duty Low-Temperature and Diesel Combustion & Heavy-Duty Combustion Modeling  

Broader source: Energy.gov [DOE]

Presentation given by Sandia National Laboratories at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about heavy-duty low...

275

Vehicle Technologies Office Merit Review 2014: Joint Development and Coordination of Emissions Control Data and Models (CLEERS Analysis and Coordination)  

Broader source: Energy.gov [DOE]

Presentation given by Oak Ridge National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about the joint...

276

Managing the transition toward self-sustaining alternative fuel vehicle markets : policy analysis using a dynamic behavioral spatial model  

E-Print Network [OSTI]

Designing public policy or industry strategy to bolster the transition to alternative fuel vehicles (AFVs) is a formidable challenge as demonstrated by historical failed attempts. The transition to new fuels occurs within ...

Supple, Derek R. (Derek Richard)

2007-01-01T23:59:59.000Z

277

Vehicle Technologies Office Merit Review 2014: Advanced Heavy-Duty Engine Systems and Emissions Control Modeling and Analysis  

Broader source: Energy.gov [DOE]

Presentation given by Oak Ridge National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about advanced heavy...

278

A comparative study of vibrational relaxation and chemical reaction models for the Martian entry vehicle  

E-Print Network [OSTI]

different chemistry sets and rates. The analyses have been carried out at an altitude of 50. 1 km and at speeds of 7. 387 km/sec and 8. 0 km/sec. The results indicate that the flow is in a highly nonequilibrium state. Due to the rapid dissociation of CO...: QUANTUM MECHANICAL PROPERTIES VITA 133 136 LIST OF TABLES Page 1. Temperature Models studied at 7. 387 km/sec, 53 2. Heat Transfer Rates at the Wall for Non-catalytic and Partially Catalytic Walls . 94 3. Thermodynamic Properties of the Species 4...

Koteshwar, Rajeev

1992-01-01T23:59:59.000Z

279

Household Vehicles Energy Consumption 1991  

U.S. Energy Information Administration (EIA) Indexed Site

Detailed Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1991 Residential Transportation Energy Consumption Survey. The "Glossary" contains the definitions of terms used in the tables. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle miles traveled (VMT) or gallons consumed; (2) Tables of per household statistics such as VMT per household; and (3) Tables of per vehicle statistics such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model year data, or family income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table. Row and Column Factors These tables present estimates

280

Vehicle Technologies Office: 2013 Archive  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Archive 3 Archive #810 Leasing on the Rise December 30, 2013 #809 What Do We Pay for in a Gallon of Gasoline? December 23, 2013 #808 Declining Use of Six- and Eight-Cylinder Engines December 16, 2013 #807 Light Vehicle Weights Leveling Off December 9, 2013 #806 Light Vehicle Market Shares, Model Years 1975-2012 December 2, 2013 #805 Vehicle Technology Penetration November 25, 2013 #804 Tool Available to Print Used Vehicle Fuel Economy Window Stickers November 18, 2013 #803 Average Number of Transmission Gears is on the Rise November 11, 2013 #802 Market Share by Transmission Type November 4, 2013 #801 Gasoline Direct Injection Continues to Grow October 28, 2013 #800 Characteristics of New Light Vehicles over Time October 21, 2013 #799 Electricity Generation by Source, 2003-2012 September 30, 2013

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

E-Print Network 3.0 - advanced vehicle control systems Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

a resolution of major vehicle components for advanced class vehicles and systems. The Cost Model ASCM estimates... Automotive System Cost Modeling Tool (ASCM) T he affordability...

282

On approximate reasoning and minimal models for the development of robust outdoor vehicle navigation schemes  

SciTech Connect (OSTI)

Outdoor sensor-based operation of autonomous robots has revealed to be an extremely challenging problem, mainly because of the difficulties encountered when attempting to represent the many uncertainties which are always present in the real world. These uncertainties are primarily due to sensor imprecisions and unpredictability of the environment, i.e., lack of full knowledge of the environment characteristics and dynamics. Two basic principles, or philosophies, and their associated methodologies are proposed in an attempt to remedy some of these difficulties. The first principle is based on the concept of ``minimal model`` for accomplishing given tasks and proposes to utilize only the minimum level of information and precision necessary to accomplish elemental functions of complex tasks. This approach diverges completely from the direction taken by most artificial vision studies which conventionally call for crisp and detailed analysis of every available component in the perception data. The paper will first review the basic concepts of this approach and will discuss its pragmatic feasibility when embodied in a behaviorist framework. The second principle which is proposed deals with implicit representation of uncertainties using Fuzzy Set Theory-based approximations and approximate reasoning, rather than explicit (crisp) representation through calculation and conventional propagation techniques. A framework which merges these principles and approaches is presented, and its application to the problem of sensor-based outdoor navigation of a mobile robot is discussed. Results of navigation experiments with a real car in actual outdoor environments are also discussed to illustrate the feasibility of the overall concept.

Pin, F.G.

1993-11-01T23:59:59.000Z

283

Household Vehicles Energy Use: Latest Data & Trends  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

a NHTS sample vehicle having the following attributes: Volkswagen, Sirocco, 1990, Automobile. Toggling of model years, by a single year increase followed by a single year...

284

Advanced Vehicle Testing Activity (AVTA) - Vehicle Testing and...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

- Vehicle Testing and Demonstration Activities Advanced Vehicle Testing Activity (AVTA) - Vehicle Testing and Demonstration Activities 2009 DOE Hydrogen Program and Vehicle...

285

Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Apps for Vehicles Apps for Vehicles Challenge Spurs Innovation in Vehicle Data to someone by E-mail Share Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation in Vehicle Data on Facebook Tweet about Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation in Vehicle Data on Twitter Bookmark Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation in Vehicle Data on Google Bookmark Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation in Vehicle Data on Delicious Rank Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation in Vehicle Data on Digg Find More places to share Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation in Vehicle Data on AddThis.com... Apps for Vehicles Challenge Spurs Innovation in Vehicle Data

286

Modeling & Simulation - Batteries  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Production of Batteries for Electric and Hybrid Vehicles Production of Batteries for Electric and Hybrid Vehicles battery assessment graph Lithium-ion (Li-ion) batteries are currently being implemented in hybrid electric (HEV), plug-in hybrid electric (PHEV), and electric (EV) vehicles. While nickel metal-hydride will continue to be the battery chemistry of choice for some HEV models, Li-ion will be the dominate battery chemistry of the remaining market share for the near-future. Large government incentives are currently necessary for customer acceptance of the vehicles such as the Chevrolet Volt and Nissan Leaf. Understanding the parameters that control the cost of Li-ion will help researchers and policy makers understand the potential of Li-ion batteries to meet battery energy density and cost goals, thus enabling widespread adoption without incentives.

287

Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer  

Open Energy Info (EERE)

Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer Choice Model Jump to: navigation, search Tool Summary Name: Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer Choice Model Agency/Company /Organization: Oak Ridge National Laboratory OpenEI Keyword(s): EERE tool, Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer Choice Model, MA3T Project U.S. consumer demand for plug-in hybrid electric vehicles (PHEV) in competition among various light-duty vehicle technologies for hundreds of market segments based and multiple regions. For more information, contact the ORNL Energy and Transportation Science Division at http://www.ornl.gov/sci/ees/etsd/contactus.shtml References Retrieved from

288

Fact #777: April 29, 2013 For the Second Year in a Row, Survey Respondents Consider Fuel Economy Most Important When Purchasing a Vehicle  

Broader source: Energy.gov [DOE]

A 2012 survey asked the question "Which one of the following attributes would be MOST important to you in your choice of your next vehicle?" The choices were fuel economy, dependability, low price,...

289

Vehicle Modeling and Simulation  

Broader source: Energy.gov (indexed) [DOE]

* PHEV Simulations and Analysis - Travel Profile Database - PHEV Impact on Components - Integration with Renewable Fuels - PHEV Economics - PHEV Test Procedures * Route-Based...

290

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 54, NO. 3, MAY 2005 837 Modeling of a Hybrid Electric Vehicle Powertrain  

E-Print Network [OSTI]

of a hybrid electric vehicle (HEV) powertrain test cell is proposed. The test cell consists of a motor combustion engine (ICE) and an electric motor/generator (EM) in series or parallel configurations. The ICE charges the battery or by- passes the battery to propel the wheels via an electric motor. This electric

Mi, Chunting "Chris"

291

Chevrolet Volt Vehicle Demonstration  

Broader source: Energy.gov (indexed) [DOE]

Volt Vehicle Demonstration Fleet Summary Report Reporting period: January 2013 through March 2013 Number of vehicles: 146 Number of vehicle days driven: 6,680 4292013 2:38:13 PM...

292

Heavy Duty Vehicle Futures Analysis.  

SciTech Connect (OSTI)

This report describes work performed for an Early Career Research and Development project. This project developed a heavy-duty vehicle (HDV) sector model to assess the factors influencing alternative fuel and efficiency technology adoption. This model builds on a Sandia light duty vehicle sector model and provides a platform for assessing potential impacts of technological advancements developed at the Combustion Research Facility. Alternative fuel and technology adoption modeling is typically developed around a small set of scenarios. This HDV sector model segments the HDV sector and parameterizes input values, such as fuel prices, efficiencies, and vehicle costs. This parameterization enables sensitivity and trade space analyses to identify the inputs that are most associated with outputs of interest, such as diesel consumption and greenhouse gas emissions. Thus this analysis tool enables identification of the most significant HDV sector drivers that can be used to support energy security and climate change goals.

Askin, Amanda Christine; Barter, Garrett; West, Todd H.; Manley, Dawn Kataoka

2014-05-01T23:59:59.000Z

293

Life cycle study of coal-based dimethyl ether as vehicle fuel for urban bus in China  

Science Journals Connector (OSTI)

With life cycle assessment (LCA) methodology, a life cycle model of coal-based dimethyl ether (CBDME) as a vehicle fuel is established for China. Its life cycle from well to wheel are divided into three phases. They are feedstock extraction, fuel production and fuel consumption in vehicle. The primary energy consumption (PEC) and global warming potential (GWP) of CBDME pathway are analyzed and compared with coal-based diesel (CBD) as a latent rival to replace conventional petroleum-based diesel (CPBD). This study demonstrates that the LCA methodology is very suitable and effective for the choice of vehicle fuels. One result is that the greenhouse gases (GHGs) emission of coal-based vehicle fuel pathways is usually concentrated on fuel production stage. The percentages of CBDME and CBD pathways both exceed 60%. The application of carbon capture and storage (CCS) is helpful for coal-based vehicle fuel pathways to improve their global warming effect dramatically. Compared with CBD pathway, CBDME pathway consumes less PEC and emits less \\{GHGs\\} emission as well. Even though the CCS and CH4-fired generation are used, the advantages of CBDME are still kept. For saving petroleum energy and reducing global warming effect, CBDME has greater potential than CBD to substitute CPBD under current fuel synthesis technologies. If the hurdles such as the maturity of engine and vehicle technologies, corresponding regulations and standards and infrastructures are reliably solved, CBDME will have better prospect in China.

Liang Zhang; Zhen Huang

2007-01-01T23:59:59.000Z

294

Vehicle suspension  

SciTech Connect (OSTI)

This patent describes a vehicle consisting of sprung and unsprung masses, the combination of struts and support springs for the weight of the sprung mass, an axis defined by pivots between sprung and unsprung masses, with a front pivot approximately midway between the wheels and near the vertical and horizontal planes through the front axles, with a rear pivot lying in an axis through the front pivot and in a plane through the center-of-gravity of the sprung mass, with the plane parallel to the centrifugal force vector through the center-of-gravity of the sprung mass, and with the rear pivot positioned approximately midway between the rear wheels, means for transmitting the centrifugal force component on the front pivot to the front wheels and ground, and means for transmitting the centrifugal force component on the rear pivot to the rear wheels and ground.

Mikina, S.J.

1986-08-05T23:59:59.000Z

295

Vehicle Technologies Office: Hybrid and Vehicle Systems  

Broader source: Energy.gov [DOE]

Hybrid and vehicle systems research provides an overarching vehicle systems perspective to the technology research and development (R&D) activities of the U.S. Department of Energy's (DOE's)...

296

Vehicle Cost Calculator | Open Energy Information  

Open Energy Info (EERE)

Vehicle Cost Calculator Vehicle Cost Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Vehicle Cost Calculator Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Transportation Phase: Evaluate Options Resource Type: Online calculator User Interface: Website Website: www.afdc.energy.gov/calc/ Web Application Link: www.afdc.energy.gov/calc/ OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: Vehicle Cost Calculator[1] Logo: Vehicle Cost Calculator Calculate the total cost of ownership and emissions for makes and models of most vehicles, including alternative fuel and advanced technology vehicles. Overview This tool uses basic information about your driving habits to calculate

297

Vehicle & Systems Simulation & Testing  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

penetration of advanced vehicles and systems to displace petroleum consumption, reduce GHG emissions, and achieve vehicle electrification goals. Evaluate technology targets...

298

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

Broader source: Energy.gov (indexed) [DOE]

Utilities Employers Develop long-range Plan Deployment area Vehicle penetration Infrastructure requirements Develop EV Micro-Climate Support...

299

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

Broader source: Energy.gov (indexed) [DOE]

Utilities Employers Develop Long-Range Plan Deployment Area Vehicle Penetration Infrastructure Requirements Develop EV Micro-Climate Initial...

300

Vehicle Technologies Office: News  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

December 18, 2013 December 18, 2013 USDA Offers $118 Million for Renewable Energy, Smart Grid Projects The U.S. Department of Agriculture (USDA) announced $73 million in funding for renewable energy projects and $45 million for smart grid technology as part of more than $1.8 billion in funding for electric utility infrastructure projects in 25 states and one territory. More December 18, 2013 2012 Fuel Economy of New Vehicles Sets Record High: EPA The U.S. Environmental Protection Agency (EPA) reported that model year 2012 vehicles achieved an all-time high fuel economy average of 23.6 miles per gallon. More December 18, 2013 Energy Department Releases Grid Energy Storage Report The Energy Department released its Grid Energy Storage report to the members of the U.S. Senate Energy and Natural Resources Committee, identifying the benefits and challenges of grid energy storage that must be addressed to enable broader use. More

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Maximizing Alternative Maximizing Alternative Fuel Vehicle Efficiency to someone by E-mail Share Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency on Facebook Tweet about Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency on Twitter Bookmark Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency on Google Bookmark Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency on Delicious Rank Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency on Digg Find More places to share Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency on AddThis.com... Just the Basics Hybrid & Vehicle Systems Energy Storage Advanced Power Electronics & Electrical Machines

302

Investigation of Tractor Base Bleeding for Heavy Vehicle Aerodynamic Drag Reduction  

SciTech Connect (OSTI)

One of the main contributors to the aerodynamic drag of a heavy vehicle is tractor-trailer gap drag, which arises when the vehicle operates within a crosswind. Under this operating condition, freestream flow is entrained into the tractor-trailer gap, imparting a momentum exchange to the vehicle and subsequently increasing the aerodynamic drag. While a number of add-on devices, including side extenders, splitter plates, vortex stabilizers, and gap sealers, have been previously tested to alleviate this source of drag, side extenders remain the primary add-on device of choice for reducing tractor-trailer gap drag. However, side extenders are not without maintenance and operational issues. When a heavy vehicle pivots sharply with respect to the trailer, as can occur during loading or unloading operations, the side extenders can become crushed against the trailer. Consequently, fleet operators are forced to incur additional costs to cover the repair or replacement of the damaged side extenders. This issue can be overcome by either shortening the side extenders or by devising an alternative drag reduction concept that can perform just as effectively as side extenders. To explore such a concept, we investigate tractor base bleeding as a means of reducing gap drag. Wind tunnel measurements are made on a 1:20 scale heavy vehicle model at a vehicle width-based Reynolds number of 420,000. The tractor bleeding flow, which is delivered through a porous material embedded within the tractor base, is introduced into the tractor-trailer gap at bleeding coefficients ranging from 0.0-0.018. To determine the performance of tractor base bleeding under more realistic operating conditions, computational fluid dynamics simulations are performed on a full-scale heavy vehicle within a crosswind for bleeding coefficients ranging from 0.0-0.13.

Ortega, J; Salari, K; Storms, B

2007-10-25T23:59:59.000Z

303

Advanced Vehicle Testing Activity: Light-Duty Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Light-Duty Light-Duty Vehicles to someone by E-mail Share Advanced Vehicle Testing Activity: Light-Duty Vehicles on Facebook Tweet about Advanced Vehicle Testing Activity: Light-Duty Vehicles on Twitter Bookmark Advanced Vehicle Testing Activity: Light-Duty Vehicles on Google Bookmark Advanced Vehicle Testing Activity: Light-Duty Vehicles on Delicious Rank Advanced Vehicle Testing Activity: Light-Duty Vehicles on Digg Find More places to share Advanced Vehicle Testing Activity: Light-Duty Vehicles on AddThis.com... Home Overview Light-Duty Vehicles Alternative Fuel Vehicles Plug-in Hybrid Electric Vehicles Hybrid Electric Vehicles Micro Hybrid Vehicles ARRA Vehicle and Infrastructure Projects EVSE Testing Energy Storage Testing Hydrogen Internal Combustion Engine Vehicles Other ICE

304

Hydrogen quality for fuel cell vehicles - a modeling study of the sensitivity of impurity content in hydrogen to the process variables in the SMR-PSA pathway.  

SciTech Connect (OSTI)

As fuel cell vehicles approach wide-scale deployment, the issue of the quality of hydrogen dispensed to the vehicles has become increasingly important. The various factors that must be considered include the effects of different contaminants on fuel cell performance and durability, the production and purification of hydrogen to meet fuel quality guidelines, and the associated costs of providing hydrogen of that quality to the fuel cell vehicles. In this paper, we describe the development of a model to track the formation and removal of several contaminants over the various steps of hydrogen production by steam-methane reforming (SMR) of natural gas, followed by purification by pressure-swing adsorption (PSA). We have used the model to evaluate the effects of setting varying levels of these contaminants in the product hydrogen on the production/purification efficiency, hydrogen recovery, and the cost of the hydrogen. The model can be used to track contaminants such as CO{sub 2}, CO, N{sub 2}, CH{sub 4}, and H{sub 2}S in the process. The results indicate that a suggested specification of 0.2 ppm CO would limit the maximum hydrogen recovery from the PSA under typical design and operating conditions. The steam-to-carbon ratio and the process pressure are found to have a significant impact on the process efficiency. Varying the CO specification from 0.1 to 1 ppm is not expected to affect the cost of hydrogen significantly, although the cost of gas analysis to comply with such stringent requirements may add 2-10 cents/kg to the cost of hydrogen.

Papadias, D.; Ahmed, S.; Kumar, R.; Joseck, F.; Chemical Sciences and Engineering Division; USDOE

2009-01-01T23:59:59.000Z

305

Arnold Schwarzenegger COMMUNITY CHOICE AGGREGATION  

E-Print Network [OSTI]

/Agricultural/Water End-Use Energy Efficiency Natural Gas Renewable Energy Technologies Transportation Community Choice&D program areas: Buildings End-Use Energy Efficiency Climate Change Energy Innovations Small Grants Energy-Related Environmental Research Energy Systems Integration Environmentally Preferred Advanced Generation Industrial

306

Modelling and simulation of the electronic differential system for an electric vehicle with two-motor-wheel drive  

Science Journals Connector (OSTI)

In-wheel-motor drive electric vehicle (EV) is an innovative configuration, in which each wheel is driven individually by an electric motor. It is possible to use an electronic differential (ED) instead of the heavy mechanical differential because of the fast response time of the motor. A new control approach for ED of a two in-wheel-motor drive EV is proposed based on the fuzzy logic control. The fuzzy logic method employs to estimate the slip rate of each wheel considering the complex and non-linear of the system. Consequently, the ED system distributes torque and power to each motor according to requirements. The effectiveness of the control method is validated in the Matlab/Simulink environment. By simulation results, it is demonstrated that the present ED control system is effective on keeping the slip rate within the optimal range and ensuring the stability of the vehicle either on a straight or curvilinear line.

Yan-e Zhao; Jianwu Zhang

2009-01-01T23:59:59.000Z

307

Energy Department Announces Apps for Vehicles Challenge Winners |  

Broader source: Energy.gov (indexed) [DOE]

Energy Department Announces Apps for Vehicles Challenge Winners Energy Department Announces Apps for Vehicles Challenge Winners Energy Department Announces Apps for Vehicles Challenge Winners April 1, 2013 - 4:55pm Addthis News Media Contact (202) 586-4940 WASHINGTON - As part of the Obama Administration's commitment to expand access to data and reduce fuel costs for consumers, the Energy Department today announced the winners of the Apps for Vehicles Challenge. The competition asked app developers and entrepreneurs to demonstrate how the open data available on most vehicles can be used to improve vehicle safety, fuel efficiency and comfort. The Department awarded New York City-based Dash the Judges' Prize and MyCarma, headquartered in Troy, Michigan, the Popular Choice prize. Green Button Gamer, based in Boston, Massachusetts,

308

Energy Department Announces Apps for Vehicles Challenge Winners |  

Broader source: Energy.gov (indexed) [DOE]

Energy Department Announces Apps for Vehicles Challenge Winners Energy Department Announces Apps for Vehicles Challenge Winners Energy Department Announces Apps for Vehicles Challenge Winners April 1, 2013 - 4:55pm Addthis News Media Contact (202) 586-4940 WASHINGTON - As part of the Obama Administration's commitment to expand access to data and reduce fuel costs for consumers, the Energy Department today announced the winners of the Apps for Vehicles Challenge. The competition asked app developers and entrepreneurs to demonstrate how the open data available on most vehicles can be used to improve vehicle safety, fuel efficiency and comfort. The Department awarded New York City-based Dash the Judges' Prize and MyCarma, headquartered in Troy, Michigan, the Popular Choice prize. Green Button Gamer, based in Boston, Massachusetts,

309

Energy 101: Electric Vehicles | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Electric Vehicles Electric Vehicles Energy 101: Electric Vehicles January 9, 2012 - 4:22pm Addthis A look at how electric vehicles (EVs) work and what current and future models are doing to cut transit costs, reduce emissions, and strengthen our nation's energy security. John Schueler John Schueler Former New Media Specialist, Office of Public Affairs While the North American International Auto Show is slated to kick off today in Detroit, and the industry is already abuzz with the latest innovations in electric vehicles, we wanted to take a moment to highlight how electric vehicles (EVs) work and what current and future models are doing to cut transit costs, reduce emissions, and strengthen our nation's energy security. The basic principles behind the technology are this: the electric

310

Energy 101: Electric Vehicles | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Energy 101: Electric Vehicles Energy 101: Electric Vehicles Energy 101: Electric Vehicles January 9, 2012 - 4:22pm Addthis A look at how electric vehicles (EVs) work and what current and future models are doing to cut transit costs, reduce emissions, and strengthen our nation's energy security. John Schueler John Schueler Former New Media Specialist, Office of Public Affairs While the North American International Auto Show is slated to kick off today in Detroit, and the industry is already abuzz with the latest innovations in electric vehicles, we wanted to take a moment to highlight how electric vehicles (EVs) work and what current and future models are doing to cut transit costs, reduce emissions, and strengthen our nation's energy security. The basic principles behind the technology are this: the electric

311

E-Print Network 3.0 - advanced vehicle applications Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

2 Automotive System Cost Modeling Tool (ASCM) Summary: on hydrogen-powered fuel cell vehicles and technology development applicable across a wide range of vehicle... at a...

312

E-Print Network 3.0 - ambulance vehicles manufactured Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

vehicles manufactured Search Powered by Explorit Topic List Advanced Search Sample search results for: ambulance vehicles manufactured Page: << < 1 2 3 4 5 > >> 1 A DYNAMIC MODEL...

313

Improving the Efficiency of Light-Duty Vehicle HVAC Systems using...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Light-Duty Vehicle HVAC Systems using Zonal Thermoelectric Devices and Comfort Modeling Improving the Efficiency of Light-Duty Vehicle HVAC Systems using Zonal Thermoelectric...

314

Vehicle Technologies Office: About the Vehicle Technologies Office: Moving  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

About the Vehicle About the Vehicle Technologies Office: Moving America Forward with Clean Vehicles to someone by E-mail Share Vehicle Technologies Office: About the Vehicle Technologies Office: Moving America Forward with Clean Vehicles on Facebook Tweet about Vehicle Technologies Office: About the Vehicle Technologies Office: Moving America Forward with Clean Vehicles on Twitter Bookmark Vehicle Technologies Office: About the Vehicle Technologies Office: Moving America Forward with Clean Vehicles on Google Bookmark Vehicle Technologies Office: About the Vehicle Technologies Office: Moving America Forward with Clean Vehicles on Delicious Rank Vehicle Technologies Office: About the Vehicle Technologies Office: Moving America Forward with Clean Vehicles on Digg Find More places to share Vehicle Technologies Office: About the

315

Vehicle Technologies Office: Fact #739: August 6, 2012 Light Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

9: August 6, 9: August 6, 2012 Light Vehicle Dealership Sales Trends - New Vehicles, Used Vehicles, and Service/Parts to someone by E-mail Share Vehicle Technologies Office: Fact #739: August 6, 2012 Light Vehicle Dealership Sales Trends - New Vehicles, Used Vehicles, and Service/Parts on Facebook Tweet about Vehicle Technologies Office: Fact #739: August 6, 2012 Light Vehicle Dealership Sales Trends - New Vehicles, Used Vehicles, and Service/Parts on Twitter Bookmark Vehicle Technologies Office: Fact #739: August 6, 2012 Light Vehicle Dealership Sales Trends - New Vehicles, Used Vehicles, and Service/Parts on Google Bookmark Vehicle Technologies Office: Fact #739: August 6, 2012 Light Vehicle Dealership Sales Trends - New Vehicles, Used Vehicles, and Service/Parts on Delicious

316

Hybrid Electric Vehicle Testing (Batteries and Fuel Economies)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Energy Hybrid Electric Vehicle Energy Hybrid Electric Vehicle Battery and Fuel Economy Testing Donald Karner a , James Francfort b a Electric Transportation Applications 401 South 2nd Avenue, Phoenix, AZ 85003, USA b Idaho National Laboratory, P.O. Box 1625, Idaho Falls, ID 83415, USA Abstract The Advanced Vehicle Testing Activity (AVTA), part of the U.S. Department of Energy's FreedomCAR and Vehicle Technologies Program, has conducted testing of advanced technology vehicles since August, 1995 in support of the AVTA goal to provide benchmark data for technology modeling, and research and development programs. The AVTA has tested over 200 advanced technology vehicles including full size electric vehicles, urban electric vehicles, neighborhood electric vehicles, and hydrogen internal combustion engine powered vehicles.

317

Alternative Fuels Data Center: Low Emission Vehicle Requirement  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Low Emission Vehicle Low Emission Vehicle Requirement to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle Requirement on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle Requirement on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle Requirement on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle Requirement on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle Requirement on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle Requirement on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle Requirement All Model Year (MY) 2007 and later heavy-duty vehicles sold, leased, or

318

A hybrid vehicle evaluation code and its application to vehicle design  

SciTech Connect (OSTI)

This report describes a hybrid vehicle simulation model, which can be applied to many of the vehicles currently being considered for low pollution and high fuel economy. The code operates interactively, with all the vehicle information stored in data files. The code calculates fuel economy for three driving schedules, time for 0-96 km/h at maximum acceleration, hill climbing performance, power train dimensions, and pollution generation rates. This report also documents the application of the code to a hybrid vehicle that operates with a hydrogen internal combustion engine. The simulation model is used for parametric studies of the vehicle. The results show the fuel economy of the vehicle as a function of vehicle mass, aerodynamic drag, engine-generator efficiency, flywheel efficiency, and flywheel energy and power capacities.

Aceves, S.M.; Smith, J.R.

1994-07-15T23:59:59.000Z

319

Massachusetts Electric Vehicle Efforts  

E-Print Network [OSTI]

Massachusetts Electric Vehicle Efforts Christine Kirby, MassDEP ZE-MAP Meeting October 24, 2014 #12 · Provide Clean Air · Grow the Clean Energy Economy · Electric vehicles are a key part of the solution #12 is promoting EVs 4 #12;TCI and Electric Vehicles · Established the Northeast Electric Vehicle Network through

California at Davis, University of

320

Powertrain & Vehicle Research Centre  

E-Print Network [OSTI]

complexity ·More efficient Vehicles, quicker to market, reduced cost to consumer The Optimisation Task and virtual environments Vehicle baseline testing on rolling road Calibration Control Engine VehiclePowertrain & Vehicle Research Centre Low Carbon Powertrain Development S. Akehurst, EPSRC Advanced

Burton, Geoffrey R.

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5: November 25, 5: November 25, 2013 Vehicle Technology Penetration to someone by E-mail Share Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle Technology Penetration on Facebook Tweet about Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle Technology Penetration on Twitter Bookmark Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle Technology Penetration on Google Bookmark Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle Technology Penetration on Delicious Rank Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle Technology Penetration on Digg Find More places to share Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle Technology Penetration on AddThis.com... Fact #805: November 25, 2013

322

Vehicle Technologies Office: Ambassadors  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Ambassadors to someone Ambassadors to someone by E-mail Share Vehicle Technologies Office: Ambassadors on Facebook Tweet about Vehicle Technologies Office: Ambassadors on Twitter Bookmark Vehicle Technologies Office: Ambassadors on Google Bookmark Vehicle Technologies Office: Ambassadors on Delicious Rank Vehicle Technologies Office: Ambassadors on Digg Find More places to share Vehicle Technologies Office: Ambassadors on AddThis.com... Goals Research & Development Testing and Analysis Workplace Charging Partners Ambassadors Resources Community and Fleet Readiness Workforce Development Plug-in Electric Vehicle Basics Ambassadors Workplace Charging Challenge Clean Cities Coalitions Clean Cities logo. Clean Cities National: A network of nearly 100 Clean Cities coalitions, supported by the

323

EFFICIENT VEHICLE TRACKING AND CLASSIFICATION FOR AN AUTOMATED TRAFFIC SURVEILLANCE SYSTEM  

E-Print Network [OSTI]

surveillance system needs to detect vehicles and classify them if possible. Generating vehicle trajectoriesEFFICIENT VEHICLE TRACKING AND CLASSIFICATION FOR AN AUTOMATED TRAFFIC SURVEILLANCE SYSTEM Amol to detect the pose of a vehicle in the 3D world. This information is used in a model-based vehicle detection

Nicolescu, Mircea

324

Vehicle Technologies Office: Fact #306: February 9, 2004 Vehicle Type  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

6: February 9, 6: February 9, 2004 Vehicle Type Differences on Vehicle Miles Traveled to someone by E-mail Share Vehicle Technologies Office: Fact #306: February 9, 2004 Vehicle Type Differences on Vehicle Miles Traveled on Facebook Tweet about Vehicle Technologies Office: Fact #306: February 9, 2004 Vehicle Type Differences on Vehicle Miles Traveled on Twitter Bookmark Vehicle Technologies Office: Fact #306: February 9, 2004 Vehicle Type Differences on Vehicle Miles Traveled on Google Bookmark Vehicle Technologies Office: Fact #306: February 9, 2004 Vehicle Type Differences on Vehicle Miles Traveled on Delicious Rank Vehicle Technologies Office: Fact #306: February 9, 2004 Vehicle Type Differences on Vehicle Miles Traveled on Digg Find More places to share Vehicle Technologies Office: Fact #306:

325

Vehicle Technologies Office: Fact #765: February 4, 2013 EPA's Top 10  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5: February 4, 5: February 4, 2013 EPA's Top 10 Conventionally-Fueled Vehicles for Model Year 2013 to someone by E-mail Share Vehicle Technologies Office: Fact #765: February 4, 2013 EPA's Top 10 Conventionally-Fueled Vehicles for Model Year 2013 on Facebook Tweet about Vehicle Technologies Office: Fact #765: February 4, 2013 EPA's Top 10 Conventionally-Fueled Vehicles for Model Year 2013 on Twitter Bookmark Vehicle Technologies Office: Fact #765: February 4, 2013 EPA's Top 10 Conventionally-Fueled Vehicles for Model Year 2013 on Google Bookmark Vehicle Technologies Office: Fact #765: February 4, 2013 EPA's Top 10 Conventionally-Fueled Vehicles for Model Year 2013 on Delicious Rank Vehicle Technologies Office: Fact #765: February 4, 2013 EPA's Top 10 Conventionally-Fueled Vehicles for Model Year 2013 on Digg

326

Vehicle Technologies Office: Fact #779: May 13, 2013 EPA's Top Ten Rated  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

9: May 13, 2013 9: May 13, 2013 EPA's Top Ten Rated Vehicles List for Model Year 2013 is All Electric to someone by E-mail Share Vehicle Technologies Office: Fact #779: May 13, 2013 EPA's Top Ten Rated Vehicles List for Model Year 2013 is All Electric on Facebook Tweet about Vehicle Technologies Office: Fact #779: May 13, 2013 EPA's Top Ten Rated Vehicles List for Model Year 2013 is All Electric on Twitter Bookmark Vehicle Technologies Office: Fact #779: May 13, 2013 EPA's Top Ten Rated Vehicles List for Model Year 2013 is All Electric on Google Bookmark Vehicle Technologies Office: Fact #779: May 13, 2013 EPA's Top Ten Rated Vehicles List for Model Year 2013 is All Electric on Delicious Rank Vehicle Technologies Office: Fact #779: May 13, 2013 EPA's Top Ten Rated Vehicles List for Model Year 2013 is All Electric on Digg

327

Fact #807: December 9, 2013 Light Vehicle Weights Leveling Off  

Broader source: Energy.gov [DOE]

The effect of the oil crisis in the mid-1970s and subsequent rise of smaller import vehicles is evident in the graph below, showing a dramatic fall in average vehicle weight from model years 1975...

328

Journal of Asian Electric Vehicles, Volume 9, Number 1, June 2011 Uncontrolled Generation of Traciton Motors in Hybrid Electric Vehicles  

E-Print Network [OSTI]

of Traciton Motors in Hybrid Electric Vehicles Xiaofeng Ding 1 , Jinglin Liu 2 , and Chris Mi 3 1 Department Generation of Traciton Motors in Hybrid Electric Vehicles 1460 2. SIMPLE ANALYTICAL MODEL OF UCG 2.1 ModelJournal of Asian Electric Vehicles, Volume 9, Number 1, June 2011 1459 Uncontrolled Generation

Mi, Chunting "Chris"

329

Advanced battery thermal management for electrical-drive vehicles using reciprocating cooling flow and spatial-resolution, lumped-capacitance thermal model.  

E-Print Network [OSTI]

?? The thermal management of traction battery systems for electrical-drive vehicles directly affects vehicle dynamic performance, long-term durability and cost of the battery systems. The… (more)

Mahamud, Rajib

2011-01-01T23:59:59.000Z

330

Mountain Health Choices Beneficiary Report  

E-Print Network [OSTI]

................................................................................................................ 42 I. Access to Health Care Mountain Health Choices Beneficiary Report A Report to the West Virginia Bureau for Medical of Health and Human Resources, Bureau for Medical Services. #12; 1 Table of Contents I. EXECUTIVE

Mohaghegh, Shahab

331

Fact #823: June 2, 2014 Hybrid Vehicles use more Battery Packs but Plug-in Vehicles use More Battery Capacity  

Broader source: Energy.gov [DOE]

Of the battery packs used for electrified vehicle powertrains in model year 2013, the greatest number went into conventional hybrid vehicles which use battery packs that average about 1.3 kilowatt...

332

NREL: Vehicles and Fuels Research - Hybrid Electric Fleet Vehicle...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Hybrid Electric Fleet Vehicle Testing How Hybrid Electric Vehicles Work Hybrid electric vehicles combine a primary power source, an energy storage system, and an electric motor to...

333

VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase ____________________________ Week Ended (Sunday) _________________  

E-Print Network [OSTI]

VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase (rev. 10/2005-ecb) #12;Vehicle Usage Log Instructions General instructions: The details of the use

Yang, Zong-Liang

334

Fact #842: October 13, 2014 Vehicles and Vehicle Travel Trends...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

drivers, number of vehicles in operation, and total vehicle miles traveled. Fact 842 Dataset Supporting Information Population and Vehicle Growth Comparison, 1950-2012 Year...

335

Vehicle Technologies Office: Natural Gas Research  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Natural Gas Research Natural Gas Research Natural gas offers tremendous opportunities for reducing the use of petroleum in transportation. Medium and heavy-duty fleets, which have significant potential to use natural gas, currently consume more than a third of the petroleum in transportation in the U.S. Natural gas is an excellent fit for a wide range of heavy-duty applications, especially transit buses, refuse haulers, and Class 8 long-haul or delivery trucks. In addition, natural gas can be a very good choice for light-duty vehicle fleets with central refueling. See the Alternative Fuels Data Center for a description of the uses and benefits of natural gas vehicles or its Laws and Incentives database for information on tax incentives. The Vehicle Technologies Office (VTO) supports the development of natural gas engines and research into renewable natural gas production.

336

Gas Mileage of 2007 Vehicles by Ford  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

7 Ford Vehicles 7 Ford Vehicles EPA MPG MODEL City Comb Hwy 2007 Ford Crown Victoria 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 2007 Ford Crown Victoria View MPG Estimates Shared By Vehicle Owners 15 City 18 Combined 23 Highway 2007 Ford Crown Victoria 8 cyl, 4.6 L, Automatic 4-spd, Regular Gas or E85 Compare 2007 Ford Crown Victoria View MPG Estimates Shared By Vehicle Owners Gas 15 City 18 Combined 23 Highway E85 11 City 13 Combined 16 Highway 2007 Ford Edge AWD 6 cyl, 3.5 L, Automatic 6-spd, Regular Gasoline Compare 2007 Ford Edge AWD View MPG Estimates Shared By Vehicle Owners 16 City 18 Combined 22 Highway 2007 Ford Edge FWD 6 cyl, 3.5 L, Automatic 6-spd, Regular Gasoline Compare 2007 Ford Edge FWD View MPG Estimates Shared By Vehicle Owners 16 City 19 Combined 23

337

Gas Mileage of 2001 Vehicles by BMW  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1 BMW Vehicles 1 BMW Vehicles EPA MPG MODEL City Comb Hwy 2001 BMW 325ci 6 cyl, 2.5 L, Automatic 5-spd, Premium Gasoline Compare 2001 BMW 325ci View MPG Estimates Shared By Vehicle Owners 17 City 20 Combined 25 Highway 2001 BMW 325ci 6 cyl, 2.5 L, Manual 5-spd, Premium Gasoline Compare 2001 BMW 325ci View MPG Estimates Shared By Vehicle Owners 18 City 21 Combined 27 Highway 2001 BMW 325ci Convertible 6 cyl, 2.5 L, Automatic 5-spd, Premium Gasoline Compare 2001 BMW 325ci Convertible View MPG Estimates Shared By Vehicle Owners 17 City 19 Combined 24 Highway 2001 BMW 325ci Convertible 6 cyl, 2.5 L, Manual 5-spd, Premium Gasoline Compare 2001 BMW 325ci Convertible View MPG Estimates Shared By Vehicle Owners 17 City 20 Combined 24 Highway 2001 BMW 325i 6 cyl, 2.5 L, Automatic 5-spd, Premium Gasoline

338

Gas Mileage of 1997 Vehicles by Mercury  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

7 Mercury Vehicles 7 Mercury Vehicles EPA MPG MODEL City Comb Hwy 1997 Mercury Cougar 6 cyl, 3.8 L, Automatic 4-spd, Regular Gasoline Compare 1997 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 16 City 19 Combined 24 Highway 1997 Mercury Cougar 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 1997 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 15 City 18 Combined 23 Highway 1997 Mercury Grand Marquis 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 1997 Mercury Grand Marquis View MPG Estimates Shared By Vehicle Owners 15 City 18 Combined 23 Highway 1997 Mercury Mountaineer 2WD 8 cyl, 5.0 L, Automatic 4-spd, Regular Gasoline Compare 1997 Mercury Mountaineer 2WD View MPG Estimates Shared By Vehicle Owners 12 City 14 Combined 17 Highway 1997 Mercury Mountaineer 4WD 8 cyl, 5.0 L, Automatic 4-spd, Regular Gasoline

339

Gas Mileage of 2008 Vehicles by Dodge  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

8 Dodge Vehicles 8 Dodge Vehicles EPA MPG MODEL City Comb Hwy 2008 Dodge Avenger 4 cyl, 2.4 L, Automatic 4-spd, Regular Gasoline Compare 2008 Dodge Avenger View MPG Estimates Shared By Vehicle Owners 21 City 24 Combined 30 Highway 2008 Dodge Avenger 6 cyl, 3.5 L, Automatic 6-spd, Regular Gasoline Compare 2008 Dodge Avenger View MPG Estimates Shared By Vehicle Owners 16 City 19 Combined 26 Highway 2008 Dodge Avenger 6 cyl, 2.7 L, Automatic 4-spd, Regular Gas or E85 Compare 2008 Dodge Avenger View MPG Estimates Shared By Vehicle Owners Gas 19 City 22 Combined 27 Highway E85 13 City 16 Combined 20 Highway 2008 Dodge Avenger 6 cyl, 2.7 L, Automatic 4-spd, Regular Gasoline Compare 2008 Dodge Avenger View MPG Estimates Shared By Vehicle Owners 19 City 22 Combined 27 Highway 2008 Dodge Avenger AWD 6 cyl, 3.5 L, Automatic 6-spd, Regular Gasoline

340

Gas Mileage of 2008 Vehicles by Ford  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

8 Ford Vehicles 8 Ford Vehicles EPA MPG MODEL City Comb Hwy 2008 Ford Crown Victoria FFV 8 cyl, 4.6 L, Automatic 4-spd, Regular Gas or E85 Compare 2008 Ford Crown Victoria FFV View MPG Estimates Shared By Vehicle Owners Gas 15 City 18 Combined 23 Highway E85 11 City 13 Combined 16 Highway 2008 Ford Edge AWD 6 cyl, 3.5 L, Automatic 6-spd, Regular Gasoline Compare 2008 Ford Edge AWD View MPG Estimates Shared By Vehicle Owners 15 City 18 Combined 22 Highway 2008 Ford Edge FWD 6 cyl, 3.5 L, Automatic 6-spd, Regular Gasoline Compare 2008 Ford Edge FWD View MPG Estimates Shared By Vehicle Owners 16 City 19 Combined 24 Highway 2008 Ford Escape 4WD 4 cyl, 2.3 L, Automatic 4-spd, Regular Gasoline Compare 2008 Ford Escape 4WD View MPG Estimates Shared By Vehicle Owners 19 City 21 Combined 24

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Gas Mileage of 2001 Vehicles by Mercury  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1 Mercury Vehicles 1 Mercury Vehicles EPA MPG MODEL City Comb Hwy 2001 Mercury Cougar 4 cyl, 2.0 L, Manual 5-spd, Regular Gasoline Compare 2001 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 21 City 24 Combined 31 Highway 2001 Mercury Cougar 6 cyl, 2.5 L, Automatic 4-spd, Regular Gasoline Compare 2001 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 18 City 21 Combined 26 Highway 2001 Mercury Cougar 6 cyl, 2.5 L, Manual 5-spd, Regular Gasoline Compare 2001 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 18 City 21 Combined 27 Highway 2001 Mercury Grand Marquis 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 2001 Mercury Grand Marquis View MPG Estimates Shared By Vehicle Owners 16 City 18 Combined 23 Highway 2001 Mercury Mountaineer 2WD 6 cyl, 4.0 L, Automatic 5-spd, Regular Gasoline

342

Gas Mileage of 1991 Vehicles by Volvo  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1 Volvo Vehicles 1 Volvo Vehicles EPA MPG MODEL City Comb Hwy 1991 Volvo 240 4 cyl, 2.3 L, Automatic 4-spd, Regular Gasoline Compare 1991 Volvo 240 View MPG Estimates Shared By Vehicle Owners 18 City 20 Combined 23 Highway 1991 Volvo 240 4 cyl, 2.3 L, Manual 5-spd, Regular Gasoline Compare 1991 Volvo 240 View MPG Estimates Shared By Vehicle Owners 19 City 21 Combined 26 Highway 1991 Volvo 240 Wagon 4 cyl, 2.3 L, Automatic 4-spd, Regular Gasoline Compare 1991 Volvo 240 Wagon 18 City 20 Combined 23 Highway 1991 Volvo 240 Wagon 4 cyl, 2.3 L, Manual 5-spd, Regular Gasoline Compare 1991 Volvo 240 Wagon View MPG Estimates Shared By Vehicle Owners 19 City 22 Combined 26 Highway 1991 Volvo 740 4 cyl, 2.3 L, Automatic 4-spd, Regular Gasoline Compare 1991 Volvo 740 View MPG Estimates Shared By Vehicle Owners

343

Gas Mileage of 2002 Vehicles by Toyota  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

2 Toyota Vehicles 2 Toyota Vehicles EPA MPG MODEL City Comb Hwy 2002 Toyota 4Runner 2WD 6 cyl, 3.4 L, Automatic 4-spd, Regular Gasoline Compare 2002 Toyota 4Runner 2WD View MPG Estimates Shared By Vehicle Owners 15 City 16 Combined 18 Highway 2002 Toyota 4Runner 4WD 6 cyl, 3.4 L, Automatic 4-spd, Regular Gasoline Compare 2002 Toyota 4Runner 4WD View MPG Estimates Shared By Vehicle Owners 15 City 16 Combined 18 Highway 2002 Toyota Avalon 6 cyl, 3.0 L, Automatic 4-spd, Regular Gasoline Compare 2002 Toyota Avalon View MPG Estimates Shared By Vehicle Owners 19 City 22 Combined 27 Highway 2002 Toyota Camry 4 cyl, 2.4 L, Automatic 4-spd, Regular Gasoline Compare 2002 Toyota Camry View MPG Estimates Shared By Vehicle Owners 21 City 24 Combined 29 Highway 2002 Toyota Camry 4 cyl, 2.4 L, Manual 5-spd, Regular Gasoline

344

Gas Mileage of 2004 Vehicles by Volkswagen  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

4 Volkswagen Vehicles 4 Volkswagen Vehicles EPA MPG MODEL City Comb Hwy 2004 Volkswagen GTI 4 cyl, 1.8 L, Manual 5-spd, Premium Gasoline Compare 2004 Volkswagen GTI View MPG Estimates Shared By Vehicle Owners 21 City 24 Combined 28 Highway 2004 Volkswagen GTI 4 cyl, 1.8 L, Automatic (S5), Premium Gasoline Compare 2004 Volkswagen GTI View MPG Estimates Shared By Vehicle Owners 19 City 22 Combined 27 Highway 2004 Volkswagen GTI 6 cyl, 2.8 L, Manual 6-spd, Premium Gasoline Compare 2004 Volkswagen GTI View MPG Estimates Shared By Vehicle Owners 19 City 22 Combined 27 Highway 2004 Volkswagen Golf 4 cyl, 1.9 L, Manual 5-spd, Diesel Compare 2004 Volkswagen Golf View MPG Estimates Shared By Vehicle Owners 32 City 36 Combined 42 Highway 2004 Volkswagen Golf 4 cyl, 1.9 L, Automatic (S5), Diesel Compare 2004 Volkswagen Golf

345

Although still a small share of the automobile marketplace, hybrid vehicle models and sales have been growing steadily. It is now  

E-Print Network [OSTI]

and conventional vehicles is the Chevrolet Volt, which can be powered by an electric motor for 40 mi and has-offs associated with distinct vehicle technologies (conventional fossil fuel, hybrid, and electric) using current gas (GHG) taxes and fiscal incentives for purchasing electric vehicles (EVs). This research also

Bertini, Robert L.

346

Vehicle Technologies Office: Lubricants  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Lubricants to someone by Lubricants to someone by E-mail Share Vehicle Technologies Office: Lubricants on Facebook Tweet about Vehicle Technologies Office: Lubricants on Twitter Bookmark Vehicle Technologies Office: Lubricants on Google Bookmark Vehicle Technologies Office: Lubricants on Delicious Rank Vehicle Technologies Office: Lubricants on Digg Find More places to share Vehicle Technologies Office: Lubricants on AddThis.com... Just the Basics Hybrid & Vehicle Systems Energy Storage Advanced Power Electronics & Electrical Machines Advanced Combustion Engines Fuels & Lubricants Fuel Effects on Combustion Lubricants Natural Gas Research Biofuels End-Use Research Materials Technologies Lubricants As most vehicles are on the road for more than 15 years before they are retired, investigating technologies that will improve today's vehicles is

347

Chapter 2. Vehicle Characteristics  

U.S. Energy Information Administration (EIA) Indexed Site

2. Vehicle Characteristics 2. Vehicle Characteristics Chapter 2. Vehicle Characteristics U.S. households used a fleet of nearly 157 million vehicles in 1994. Despite remarkable growth in the number of minivans and sport-utility vehicles, passenger cars continued to predominate in the residential vehicle fleet. This chapter looks at changes in the composition of the residential fleet in 1994 compared with earlier years and reviews the effect of technological changes on fuel efficiency (how efficiently a vehicle engine processes motor fuel) and fuel economy (how far a vehicle travels on a given amount of fuel). Using data unique to the Residential Transportation Energy Consumption Survey, it also explores the relationship between residential vehicle use and family income.

348

Vehicle Technologies Office Merit Review 2014: Validation of...  

Broader source: Energy.gov (indexed) [DOE]

Validation of Material Models for Automotive Carbon Fiber Composite Structures Vehicle Technologies Office Merit Review 2014: Validation of Material Models for Automotive Carbon...

349

Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Medium- and Medium- and Heavy-Duty Vehicles to someone by E-mail Share Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles on Facebook Tweet about Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles on Twitter Bookmark Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles on Google Bookmark Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles on Delicious Rank Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles on Digg Find More places to share Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles on AddThis.com... Home Overview Light-Duty Vehicles Medium- and Heavy-Duty Vehicles Transit Vehicles Trucks Idle Reduction Oil Bypass Filter Airport Ground Support Equipment Medium and Heavy Duty Hybrid Electric Vehicles

350

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

Broader source: Energy.gov (indexed) [DOE]

EVSE Designed And Manufactured To Allow Power And Energy Data Collection And Demand Response Control Residential EVSE Installed For All Vehicles 1,300 Commercial EVSE...

351

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

2 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting arravt066vsskarner2012...

352

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

1 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation arravt066vsskarner2011...

353

Smith Electric Vehicles: Advanced Vehicle Electrification + Transporta...  

Energy Savers [EERE]

1 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation arravt072vssmackie2011...

354

Smith Electric Vehicles: Advanced Vehicle Electrification + Transporta...  

Energy Savers [EERE]

2 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting arravt072vssmackie2012...

355

Household Vehicles Energy Consumption 1991  

U.S. Energy Information Administration (EIA) Indexed Site

vehicle aging have an additional but unknown effect on the MPG of individual vehicles. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 27 Of the...

356

Solar Choice Solutions Inc | Open Energy Information  

Open Energy Info (EERE)

Solutions Inc Jump to: navigation, search Name: Solar Choice Solutions Inc. Place: Calabasas, California Zip: 91302 Sector: Solar Product: Solar Choice Solutions Inc. is an...

357

Lighting Choices - White Background | Department of Energy  

Energy Savers [EERE]

the new energy standards that take effect from 2012-2014. allbulbshiresweb.eps More Documents & Publications Lighting Choices - White Background Lighting Choices...

358

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards California's LEV II exhaust emissions standards apply to Model Year (MY)

359

Sustainability in the power plant choice  

Science Journals Connector (OSTI)

International literature presents several studies on the economics of power plants based on cash flows. However there are sustainability factors (e.g., environmental and social aspects, etc.) able to heavily bear on the sustainability of certain investments. This paper lists and quantifies these factors and ranks under different scenarios the following technologies: hydro, coal, oil, gas and nuclear. Then an overall multi-attribute model, based on the quality function deployment approach, delivers a weight for each factor, dividing its impact in the three different sustainability dimensions: economic, environmental and social. Finally the factor weights and their performances are coupled to obtain an overall ranking. The results show that hydroelectric plants are usually the best solution. Coal and nuclear could be a good choice even if each type of plant has its strengths and weaknesses. On the contrary, the oil and gas-fired plants are always the worst choice.

Giorgio Locatelli; Mauro Mancini

2013-01-01T23:59:59.000Z

360

Vehicle Technologies Office: Fact #285: September 15, 2003 Vehicles per  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5: September 15, 5: September 15, 2003 Vehicles per Thousand People: An International Comparison to someone by E-mail Share Vehicle Technologies Office: Fact #285: September 15, 2003 Vehicles per Thousand People: An International Comparison on Facebook Tweet about Vehicle Technologies Office: Fact #285: September 15, 2003 Vehicles per Thousand People: An International Comparison on Twitter Bookmark Vehicle Technologies Office: Fact #285: September 15, 2003 Vehicles per Thousand People: An International Comparison on Google Bookmark Vehicle Technologies Office: Fact #285: September 15, 2003 Vehicles per Thousand People: An International Comparison on Delicious Rank Vehicle Technologies Office: Fact #285: September 15, 2003 Vehicles per Thousand People: An International Comparison on Digg

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Vehicle Technologies Office: Partners  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Partners to someone by Partners to someone by E-mail Share Vehicle Technologies Office: Partners on Facebook Tweet about Vehicle Technologies Office: Partners on Twitter Bookmark Vehicle Technologies Office: Partners on Google Bookmark Vehicle Technologies Office: Partners on Delicious Rank Vehicle Technologies Office: Partners on Digg Find More places to share Vehicle Technologies Office: Partners on AddThis.com... Goals Research & Development Testing and Analysis Workplace Charging Partners Ambassadors Resources Community and Fleet Readiness Workforce Development Plug-in Electric Vehicle Basics Partners The interactive map below highlights Workplace Charging Challenge Partners across the country who are installing plug-in electric vehicle charging infrastructure for their employees. Select a worksite to learn more about

362

Vehicle Technologies Office: News  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

News News Site Map Printable Version Share this resource Send a link to Vehicle Technologies Office: News to someone by E-mail Share Vehicle Technologies Office: News on Facebook Tweet about Vehicle Technologies Office: News on Twitter Bookmark Vehicle Technologies Office: News on Google Bookmark Vehicle Technologies Office: News on Delicious Rank Vehicle Technologies Office: News on Digg Find More places to share Vehicle Technologies Office: News on AddThis.com... Vehicle Technologies News Blog Newsletters Information for Media Subscribe to News Updates News December 18, 2013 USDA Offers $118 Million for Renewable Energy, Smart Grid Projects The U.S. Department of Agriculture (USDA) announced $73 million in funding for renewable energy projects and $45 million for smart grid technology as

363

Social networking in vehicles  

E-Print Network [OSTI]

In-vehicle, location-aware, socially aware telematic systems, known as Flossers, stand to revolutionize vehicles, and how their drivers interact with their physical and social worlds. With Flossers, users can broadcast and ...

Liang, Philip Angus

2006-01-01T23:59:59.000Z

364

Electric Vehicle Research Group  

E-Print Network [OSTI]

.................................................................................9 From diesel to electric: a new era in personnel transport for underground coal minesElectric Vehicle Research Group Annual Report 2012 #12;Table of Contents Executive Summary................................................................................8 C2-25 Electric Vehicle Drivetrain

Liley, David

365

Hydrogen Fuel Cell Vehicles  

E-Print Network [OSTI]

Hydrogen Fuel Cell Vehicles UCD-ITS-RR-92-14 September byet al. , 1988,1989 HYDROGEN FUEL-CELL VEHICLES: TECHNICALIn the FCEV, the hydrogen fuel cell could supply the "net"

Delucchi, Mark

1992-01-01T23:59:59.000Z

366

Vehicles | Open Energy Information  

Open Energy Info (EERE)

renewable and alternative fuels. Advanced vehicles and fuels can also put the brakes on air pollution and improve our environment. At least 250 million vehicles are in use in the...

367

Advanced Vehicle Electrification  

Broader source: Energy.gov [DOE]

2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation

368

Advanced Vehicle Electrification  

Broader source: Energy.gov [DOE]

2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

369

Consumer Vehicle Technology Data  

Broader source: Energy.gov [DOE]

2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

370

Advanced Electric Drive Vehicles  

Broader source: Energy.gov [DOE]

2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation

371

Powertrain & Vehicle Research Centre  

E-Print Network [OSTI]

Simulation Basic Engine Test Vehicle Test Cost & Complexity Towards Final Product Lean Powertrain Development Viewing Trade-Offs and Finding Optima Realism Advanced Engine Test Vehicle Test Rolling Road Powertrain powertrain development tasks to reduce costs and time to market The vehicle powertrain is the system

Burton, Geoffrey R.

372

Energy 101: Electric Vehicles  

ScienceCinema (OSTI)

This edition of Energy 101 highlights the benefits of electric vehicles, including improved fuel efficiency, reduced emissions, and lower maintenance costs. For more information on electric vehicles from the Office of Energy Efficiency and Renewable Energy, visit the Vehicle Technologies Program website: http://www1.eere.energy.gov/vehiclesandfuels/

None

2013-05-29T23:59:59.000Z

373

A Hybrid Controller for Autonomous Vehicles Driving on Automated Highways #  

E-Print Network [OSTI]

A Hybrid Controller for Autonomous Vehicles Driving on Automated Highways # Alain Girault a a Inria the problem of the hybrid control of autonomous vehicles driving on automated highways. Vehicles of their merging lane. Finally, we show the outcome of a highway microsimulation modelled after the Katy Corridor

Girault, Alain

374

A Hybrid Controller for Autonomous Vehicles Driving on Automated Highways  

E-Print Network [OSTI]

A Hybrid Controller for Autonomous Vehicles Driving on Automated Highways Alain Girault a aInria Rh of the hybrid control of autonomous vehicles driving on automated highways. Vehicles are autonomous, so they do. Finally, we show the outcome of a highway microsimulation modelled after the Katy Corridor near Houston

Girault, Alain

375

Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

2: October 3, 2: October 3, 2005 Household Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on AddThis.com... Fact #392: October 3, 2005 Household Vehicle Ownership Household vehicle ownership has changed significantly over the last 40

376

Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5: February 5, 5: February 5, 2007 Household Vehicle Miles to someone by E-mail Share Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Facebook Tweet about Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Twitter Bookmark Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Google Bookmark Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Delicious Rank Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Digg Find More places to share Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on AddThis.com... Fact #455: February 5, 2007 Household Vehicle Miles The graphs below show the average vehicle miles of travel (VMT) - daily

377

Energy Choice Simulator | Open Energy Information  

Open Energy Info (EERE)

Energy Choice Simulator Energy Choice Simulator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Choice Simulator Agency/Company /Organization: Great Plains Institute Sector: Energy Focus Area: Energy Efficiency, People and Policy Phase: Create a Vision, Develop Goals, Prepare a Plan, Get Feedback, Evaluate Effectiveness and Revise as Needed Topics: Market analysis, Policies/deployment programs, Co-benefits assessment, Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.energychoicesimulator.com/ Country: United States Locality: Midwestern United States Cost: Free Northern America Coordinates: 37.09024°, -95.712891° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.09024,"lon":-95.712891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

378

Market penetration scenarios for fuel cell vehicles  

SciTech Connect (OSTI)

Fuel cell vehicles may create the first mass market for hydrogen as an energy carrier. Directed Technologies, Inc., working with the US Department of Energy hydrogen systems analysis team, has developed a time-dependent computer market penetration model. This model estimates the number of fuel cell vehicles that would be purchased over time as a function of their cost and the cost of hydrogen relative to the costs of competing vehicles and fuels. The model then calculates the return on investment for fuel cell vehicle manufacturers and hydrogen fuel suppliers. The model also projects the benefit/cost ratio for government--the ratio of societal benefits such as reduced oil consumption, reduced urban air pollution and reduced greenhouse gas emissions to the government cost for assisting the development of hydrogen energy and fuel cell vehicle technologies. The purpose of this model is to assist industry and government in choosing the best investment strategies to achieve significant return on investment and to maximize benefit/cost ratios. The model can illustrate trends and highlight the sensitivity of market penetration to various parameters such as fuel cell efficiency, cost, weight, and hydrogen cost. It can also illustrate the potential benefits of successful R and D and early demonstration projects. Results will be shown comparing the market penetration and return on investment estimates for direct hydrogen fuel cell vehicles compared to fuel cell vehicles with onboard fuel processors including methanol steam reformers and gasoline partial oxidation systems. Other alternative fueled vehicles including natural gas hybrids, direct injection diesels and hydrogen-powered internal combustion hybrid vehicles will also be analyzed.

Thomas, C.E.; James, B.D.; Lomax, F.D. Jr. [Directed Technologies, Inc., Arlington, VA (United States)

1997-12-31T23:59:59.000Z

379

Living with Electric Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Living with Electric Vehicles Living with Electric Vehicles JOHN DAVIS: On any given weekend, somewhere you'll find a gathering of cars and a group of enthusiasts assembled around them. Be the hotrods classics or sports cars, each genre of the car's evolution has developed loyal following. And electric cars are no exception. The recent National Plug-in day included events held at hundreds of sites across the U.S. enticing EV aficionados to check out the latest models and share their passion for gas-free motoring. JOHN BARRACCA: The dealer gives you 9.3 gallons. I haven't used all of that yet. But, when I get 3 gallons low, I put 3 gallons in. So, I'm still at almost a full tank. The last time I put 3 gallons in was February and this is September 23rd. JOHN DAVIS: All of the owners we talked with were pleased with their plug-in car's fuel

380

Vehicle Technologies Office: Fact #499: December 10, 2007 Alternative Fuel  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

9: December 10, 9: December 10, 2007 Alternative Fuel Models: Gains and Losses to someone by E-mail Share Vehicle Technologies Office: Fact #499: December 10, 2007 Alternative Fuel Models: Gains and Losses on Facebook Tweet about Vehicle Technologies Office: Fact #499: December 10, 2007 Alternative Fuel Models: Gains and Losses on Twitter Bookmark Vehicle Technologies Office: Fact #499: December 10, 2007 Alternative Fuel Models: Gains and Losses on Google Bookmark Vehicle Technologies Office: Fact #499: December 10, 2007 Alternative Fuel Models: Gains and Losses on Delicious Rank Vehicle Technologies Office: Fact #499: December 10, 2007 Alternative Fuel Models: Gains and Losses on Digg Find More places to share Vehicle Technologies Office: Fact #499: December 10, 2007 Alternative Fuel Models: Gains and Losses on

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Analytical Modeling Linking the FASTSim and ADOPT Software Tools  

Broader source: Energy.gov (indexed) [DOE]

Model Petroleum Impact Optimize for market share 6 Approach: Vehicle Powertrain Modeling Fuel Economy Inputs Vehicle Price Acceleration Outputs Component Sizes and Vehicle...

382

Vehicle Technologies Office: Integration and Validation  

Broader source: Energy.gov [DOE]

Once vehicle components and subsystems prove out in the initial modeling and simulation research phases, it is time to build, integrate, and validate prototypes of those components and subsystems....

383

Spatial Pattern of Vehicle Ownership by Vintage  

E-Print Network [OSTI]

of Black and Hispanic population, household size, and thePercent of Hispanics Older Vehicles per Household (V1) OlderHispanics The estimated OLS models with predicted household

Ong, Paul; Lee, Cheol-Ho

2007-01-01T23:59:59.000Z

384

Social choice and merit goods  

Science Journals Connector (OSTI)

Existing formulations of merit good social preferences, which are usually thought to be non-individualistic, are shown to be implied by three assumptions taken from the Arrowian social choice theoretic framework. Thus an individualistic foundation is provided for merit goods.

Nick Baigent

1981-01-01T23:59:59.000Z

385

Vehicle Technologies Office: Deployment  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Deployment Deployment Site Map Printable Version Share this resource Send a link to Vehicle Technologies Office: Deployment to someone by E-mail Share Vehicle Technologies Office: Deployment on Facebook Tweet about Vehicle Technologies Office: Deployment on Twitter Bookmark Vehicle Technologies Office: Deployment on Google Bookmark Vehicle Technologies Office: Deployment on Delicious Rank Vehicle Technologies Office: Deployment on Digg Find More places to share Vehicle Technologies Office: Deployment on AddThis.com... Energy Policy Act (EPAct) Clean Cities Educational Activities Deployment Our nation's energy security depends on the efficiency of our transportation system and on which fuels we use. Transportation in the United States already consumes much more oil than we produce here at home

386

Vehicle Technologies Office: Batteries  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Batteries to someone by Batteries to someone by E-mail Share Vehicle Technologies Office: Batteries on Facebook Tweet about Vehicle Technologies Office: Batteries on Twitter Bookmark Vehicle Technologies Office: Batteries on Google Bookmark Vehicle Technologies Office: Batteries on Delicious Rank Vehicle Technologies Office: Batteries on Digg Find More places to share Vehicle Technologies Office: Batteries on AddThis.com... Just the Basics Hybrid & Vehicle Systems Energy Storage Batteries Battery Systems Applied Battery Research Long-Term Exploratory Research Ultracapacitors Advanced Power Electronics & Electrical Machines Advanced Combustion Engines Fuels & Lubricants Materials Technologies Batteries battery/cell diagram Battery/Cell Diagram Batteries are important to our everyday lives and show up in various

387

Vehicles | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Vehicles Vehicles Vehicles EERE leads U.S. researchers and other partners in making transportation cleaner and more efficient through solutions that put electric drive vehicles on the road and replace oil with clean domestic fuels. EERE leads U.S. researchers and other partners in making transportation cleaner and more efficient through solutions that put electric drive vehicles on the road and replace oil with clean domestic fuels. Image of three semi truck cabs. The one on the left is yellow, the middle is green, and the far right truck is red. The U.S. Department of Energy (DOE) supports the development and deployment of advanced vehicle technologies, including advances in electric vehicles, engine efficiency, and lightweight materials. Since 2008, the Department of

388

Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1: January 8, 1: January 8, 2007 Household Vehicle Trips to someone by E-mail Share Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Facebook Tweet about Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Twitter Bookmark Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Google Bookmark Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Delicious Rank Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Digg Find More places to share Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on AddThis.com... Fact #451: January 8, 2007 Household Vehicle Trips In a day, the average household traveled 32.7 miles in 2001 (the latest

389

Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3: March 8, 2010 3: March 8, 2010 Vehicle Occupancy Rates to someone by E-mail Share Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy Rates on Facebook Tweet about Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy Rates on Twitter Bookmark Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy Rates on Google Bookmark Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy Rates on Delicious Rank Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy Rates on Digg Find More places to share Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy Rates on AddThis.com... Fact #613: March 8, 2010 Vehicle Occupancy Rates The average number of persons occupying a car is 1.59 and has not changed

390

Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

FY 2008 DOE Vehicle FY 2008 DOE Vehicle Technologies Office Annual Merit Review to someone by E-mail Share Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual Merit Review on Facebook Tweet about Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual Merit Review on Twitter Bookmark Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual Merit Review on Google Bookmark Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual Merit Review on Delicious Rank Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual Merit Review on Digg Find More places to share Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual Merit Review on AddThis.com... Publications

391

Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

8: February 16, 8: February 16, 2009 Transit Vehicle Age and Cost to someone by E-mail Share Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle Age and Cost on Facebook Tweet about Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle Age and Cost on Twitter Bookmark Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle Age and Cost on Google Bookmark Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle Age and Cost on Delicious Rank Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle Age and Cost on Digg Find More places to share Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle Age and Cost on AddThis.com... Fact #558: February 16, 2009 Transit Vehicle Age and Cost

392

Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3: January 22, 3: January 22, 2007 Household Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on AddThis.com... Fact #453: January 22, 2007 Household Vehicle Ownership

393

Vehicle Technologies Office: Key Activities in Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Activities in Vehicles Activities in Vehicles We conduct work in four key areas to develop and deploy vehicle technologies that reduce the use of petroleum while maintaining or improving performance, power, and comfort. Research and development (R&D); testing and analysis; government and community stakeholder support; and education help people access and use efficient, clean vehicles that meet their transportation needs. Researcher loads a sample mount of battery cathode materials for X-ray diffraction, an analysis tool for obtaining information on the crystallographic structure and composition of materials. Research and Development of New Technologies Develop durable and affordable advanced batteries as well as other forms of energy storage. Improve the efficiency of combustion engines.

394

Gas Mileage of 2000 Vehicles by Mercury  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

2000 Mercury Vehicles 2000 Mercury Vehicles EPA MPG MODEL City Comb Hwy 2000 Mercury Cougar 4 cyl, 2.0 L, Manual 5-spd, Regular Gasoline Compare 2000 Mercury Cougar 21 City 25 Combined 31 Highway 2000 Mercury Cougar 6 cyl, 2.5 L, Automatic 4-spd, Regular Gasoline Compare 2000 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 18 City 21 Combined 26 Highway 2000 Mercury Cougar 6 cyl, 2.5 L, Manual 5-spd, Regular Gasoline Compare 2000 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 18 City 21 Combined 26 Highway 2000 Mercury Grand Marquis 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 2000 Mercury Grand Marquis View MPG Estimates Shared By Vehicle Owners 16 City 18 Combined 23 Highway 2000 Mercury Mountaineer 2WD 6 cyl, 4.0 L, Automatic 5-spd, Regular Gasoline

395

Gas Mileage of 2008 Vehicles by GMC  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

8 GMC Vehicles 8 GMC Vehicles EPA MPG MODEL City Comb Hwy 2008 GMC Acadia AWD 6 cyl, 3.6 L, Automatic 6-spd, Regular Gasoline Compare 2008 GMC Acadia AWD View MPG Estimates Shared By Vehicle Owners 16 City 18 Combined 22 Highway 2008 GMC Acadia FWD 6 cyl, 3.6 L, Automatic 6-spd, Regular Gasoline Compare 2008 GMC Acadia FWD View MPG Estimates Shared By Vehicle Owners 16 City 19 Combined 24 Highway 2008 GMC Canyon 2WD 4 cyl, 2.9 L, Automatic 4-spd, Regular Gasoline Compare 2008 GMC Canyon 2WD View MPG Estimates Shared By Vehicle Owners 18 City 20 Combined 24 Highway 2008 GMC Canyon 2WD 4 cyl, 2.9 L, Manual 5-spd, Regular Gasoline Compare 2008 GMC Canyon 2WD 18 City 20 Combined 24 Highway 2008 GMC Canyon 2WD 5 cyl, 3.7 L, Automatic 4-spd, Regular Gasoline Compare 2008 GMC Canyon 2WD

396

Gas Mileage of 2004 Vehicles by Mercury  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

4 Mercury Vehicles 4 Mercury Vehicles EPA MPG MODEL City Comb Hwy 2004 Mercury Grand Marquis 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 2004 Mercury Grand Marquis View MPG Estimates Shared By Vehicle Owners 15 City 18 Combined 23 Highway 2004 Mercury Marauder 8 cyl, 4.6 L, Automatic 4-spd, Premium Gasoline Compare 2004 Mercury Marauder View MPG Estimates Shared By Vehicle Owners 15 City 17 Combined 21 Highway 2004 Mercury Monterey Wagon FWD 6 cyl, 4.2 L, Automatic 4-spd, Regular Gasoline Compare 2004 Mercury Monterey Wagon FWD View MPG Estimates Shared By Vehicle Owners 15 City 17 Combined 21 Highway 2004 Mercury Mountaineer 2WD 8 cyl, 4.6 L, Automatic 5-spd, Regular Gasoline Compare 2004 Mercury Mountaineer 2WD 13 City 15 Combined 18 Highway 2004 Mercury Mountaineer 2WD 6 cyl, 4.0 L, Automatic 5-spd, Regular Gasoline

397

Gas Mileage of 1995 Vehicles by Mercury  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5 Mercury Vehicles 5 Mercury Vehicles EPA MPG MODEL City Comb Hwy 1995 Mercury Cougar 6 cyl, 3.8 L, Automatic 4-spd, Regular Gasoline Compare 1995 Mercury Cougar 17 City 19 Combined 24 Highway 1995 Mercury Cougar 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 1995 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 15 City 18 Combined 23 Highway 1995 Mercury Grand Marquis 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 1995 Mercury Grand Marquis View MPG Estimates Shared By Vehicle Owners 15 City 18 Combined 23 Highway 1995 Mercury Mystique 4 cyl, 2.0 L, Automatic 4-spd, Regular Gasoline Compare 1995 Mercury Mystique View MPG Estimates Shared By Vehicle Owners 21 City 24 Combined 29 Highway 1995 Mercury Mystique 6 cyl, 2.5 L, Automatic 4-spd, Regular Gasoline

398

Gas Mileage of 1993 Vehicles by Mercury  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Mercury Vehicles 3 Mercury Vehicles EPA MPG MODEL City Comb Hwy 1993 Mercury Capri 4 cyl, 1.6 L, Automatic 4-spd, Regular Gasoline Compare 1993 Mercury Capri 20 City 21 Combined 24 Highway 1993 Mercury Capri 4 cyl, 1.6 L, Manual 5-spd, Regular Gasoline Compare 1993 Mercury Capri View MPG Estimates Shared By Vehicle Owners 21 City 23 Combined 26 Highway 1993 Mercury Capri 4 cyl, 1.6 L, Manual 5-spd, Regular Gasoline Compare 1993 Mercury Capri View MPG Estimates Shared By Vehicle Owners 22 City 24 Combined 28 Highway 1993 Mercury Cougar 6 cyl, 3.8 L, Automatic 4-spd, Regular Gasoline Compare 1993 Mercury Cougar 17 City 19 Combined 24 Highway 1993 Mercury Cougar 8 cyl, 5.0 L, Automatic 4-spd, Regular Gasoline Compare 1993 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 15

399

Visualizing Electric Vehicle Sales | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Visualizing Electric Vehicle Sales Visualizing Electric Vehicle Sales Visualizing Electric Vehicle Sales July 25, 2013 - 2:48pm Addthis Data compiled by Yan (Joann) Zhou at Argonne National Laboratory. (*) Sales from the second quarter of 2013 for Tesla Model S are based off of estimates provided by the Hybrid Market Dashboard. Data updated 9/25/2013. Daniel Wood Daniel Wood Data Integration Specialist More on eGallon: Read more about electric vehicle sales and eGallon's continued consistency. Check out our first blog post on the eGallon launch. Read the eGallon Q&A to learn more about the new tool. Last week, we reported on how electric vehicle sales have taken off in the last few months as prices have dropped and more manufacturers install fast charging stations across the country. Using the data we released last week, we created an interactive chart that

400

Visualizing Electric Vehicle Sales | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Visualizing Electric Vehicle Sales Visualizing Electric Vehicle Sales Visualizing Electric Vehicle Sales July 25, 2013 - 2:48pm Addthis Data compiled by Yan (Joann) Zhou at Argonne National Laboratory. (*) Sales from the second quarter of 2013 for Tesla Model S are based off of estimates provided by the Hybrid Market Dashboard. Data updated 9/25/2013. Daniel Wood Daniel Wood Data Integration Specialist More on eGallon: Read more about electric vehicle sales and eGallon's continued consistency. Check out our first blog post on the eGallon launch. Read the eGallon Q&A to learn more about the new tool. Last week, we reported on how electric vehicle sales have taken off in the last few months as prices have dropped and more manufacturers install fast charging stations across the country. Using the data we released last week, we created an interactive chart that

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Gas Mileage of 2002 Vehicles by Dodge  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

2 Dodge Vehicles 2 Dodge Vehicles EPA MPG MODEL City Comb Hwy 2002 Dodge Caravan/Grand Caravan 2WD 4 cyl, 2.4 L, Automatic 3-spd, Regular Gasoline Compare 2002 Dodge Caravan/Grand Caravan 2WD View MPG Estimates Shared By Vehicle Owners 17 City 19 Combined 23 Highway 2002 Dodge Caravan/Grand Caravan 2WD 4 cyl, 2.4 L, Automatic 4-spd, Regular Gasoline Compare 2002 Dodge Caravan/Grand Caravan 2WD View MPG Estimates Shared By Vehicle Owners 17 City 20 Combined 24 Highway 2002 Dodge Caravan/Grand Caravan 2WD 6 cyl, 3.8 L, Automatic 4-spd, Regular Gasoline Compare 2002 Dodge Caravan/Grand Caravan 2WD View MPG Estimates Shared By Vehicle Owners 16 City 18 Combined 22 Highway 2002 Dodge Caravan/Grand Caravan 2WD 6 cyl, 3.8 L, Automatic (S4), Regular Gasoline Compare 2002 Dodge Caravan/Grand Caravan 2WD

402

Gas Mileage of 2006 Vehicles by Chevrolet  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

6 Chevrolet Vehicles 6 Chevrolet Vehicles EPA MPG MODEL City Comb Hwy 2006 Chevrolet Avalanche 1500 2WD 8 cyl, 5.3 L, Automatic 4-spd, Regular Gas or E85 Compare 2006 Chevrolet Avalanche 1500 2WD Gas 13 City 14 Combined 17 Highway E85 10 City 11 Combined 13 Highway 2006 Chevrolet Avalanche 1500 4WD 8 cyl, 5.3 L, Automatic 4-spd, Regular Gas or E85 Compare 2006 Chevrolet Avalanche 1500 4WD View MPG Estimates Shared By Vehicle Owners Gas 13 City 14 Combined 17 Highway E85 10 City 11 Combined 13 Highway 2006 Chevrolet Aveo 5 4 cyl, 1.6 L, Automatic 4-spd, Regular Gasoline Compare 2006 Chevrolet Aveo 5 View MPG Estimates Shared By Vehicle Owners 21 City 25 Combined 31 Highway 2006 Chevrolet Aveo 5 4 cyl, 1.6 L, Manual 5-spd, Regular Gasoline Compare 2006 Chevrolet Aveo 5 View MPG Estimates Shared By Vehicle Owners

403

Gas Mileage of 1998 Vehicles by Mercury  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

8 Mercury Vehicles 8 Mercury Vehicles EPA MPG MODEL City Comb Hwy 1998 Mercury Grand Marquis 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 1998 Mercury Grand Marquis View MPG Estimates Shared By Vehicle Owners 15 City 18 Combined 22 Highway 1998 Mercury Mountaineer 2WD 6 cyl, 4.0 L, Automatic 5-spd, Regular Gasoline Compare 1998 Mercury Mountaineer 2WD View MPG Estimates Shared By Vehicle Owners 14 City 16 Combined 18 Highway 1998 Mercury Mountaineer 2WD 8 cyl, 5.0 L, Automatic 4-spd, Regular Gasoline Compare 1998 Mercury Mountaineer 2WD 12 City 14 Combined 17 Highway 1998 Mercury Mountaineer 4WD 6 cyl, 4.0 L, Automatic 5-spd, Regular Gasoline Compare 1998 Mercury Mountaineer 4WD View MPG Estimates Shared By Vehicle Owners 14 City 15 Combined 18 Highway 1998 Mercury Mountaineer 4WD 8 cyl, 5.0 L, Automatic 4-spd, Regular Gasoline

404

Gas Mileage of 2005 Vehicles by Mercury  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5 Mercury Vehicles 5 Mercury Vehicles EPA MPG MODEL City Comb Hwy 2005 Mercury Grand Marquis 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 2005 Mercury Grand Marquis View MPG Estimates Shared By Vehicle Owners 16 City 19 Combined 23 Highway 2005 Mercury Mariner 2WD 4 cyl, 2.3 L, Automatic 4-spd, Regular Gasoline Compare 2005 Mercury Mariner 2WD View MPG Estimates Shared By Vehicle Owners 19 City 21 Combined 24 Highway 2005 Mercury Mariner 2WD 6 cyl, 3.0 L, Automatic 4-spd, Regular Gasoline Compare 2005 Mercury Mariner 2WD View MPG Estimates Shared By Vehicle Owners 17 City 19 Combined 23 Highway 2005 Mercury Mariner 4WD 4 cyl, 2.3 L, Automatic 4-spd, Regular Gasoline Compare 2005 Mercury Mariner 4WD 17 City 19 Combined 21 Highway 2005 Mercury Mariner 4WD 6 cyl, 3.0 L, Automatic 4-spd, Regular Gasoline

405

Gas Mileage of 2007 Vehicles by BMW  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

7 BMW Vehicles 7 BMW Vehicles EPA MPG MODEL City Comb Hwy 2007 BMW 328ci 6 cyl, 3.0 L, Manual 6-spd, Premium Gasoline Compare 2007 BMW 328ci View MPG Estimates Shared By Vehicle Owners 18 City 21 Combined 28 Highway 2007 BMW 328ci 6 cyl, 3.0 L, Automatic (S6), Premium Gasoline Compare 2007 BMW 328ci View MPG Estimates Shared By Vehicle Owners 18 City 22 Combined 28 Highway 2007 BMW 328ci Convertible 6 cyl, 3.0 L, Manual 6-spd, Premium Gasoline Compare 2007 BMW 328ci Convertible 17 City 21 Combined 27 Highway 2007 BMW 328ci Convertible 6 cyl, 3.0 L, Automatic (S6), Premium Gasoline Compare 2007 BMW 328ci Convertible View MPG Estimates Shared By Vehicle Owners 18 City 21 Combined 27 Highway 2007 BMW 328cxi 6 cyl, 3.0 L, Manual 6-spd, Premium Gasoline Compare 2007 BMW 328cxi 17 City

406

Vehicle Technologies Office: Fact #343: October 25, 2004 Reasons for  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3: October 25, 3: October 25, 2004 Reasons for Rejecting a Particular New Car Model to someone by E-mail Share Vehicle Technologies Office: Fact #343: October 25, 2004 Reasons for Rejecting a Particular New Car Model on Facebook Tweet about Vehicle Technologies Office: Fact #343: October 25, 2004 Reasons for Rejecting a Particular New Car Model on Twitter Bookmark Vehicle Technologies Office: Fact #343: October 25, 2004 Reasons for Rejecting a Particular New Car Model on Google Bookmark Vehicle Technologies Office: Fact #343: October 25, 2004 Reasons for Rejecting a Particular New Car Model on Delicious Rank Vehicle Technologies Office: Fact #343: October 25, 2004 Reasons for Rejecting a Particular New Car Model on Digg Find More places to share Vehicle Technologies Office: Fact #343:

407

Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas  

Broader source: Energy.gov (indexed) [DOE]

Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas Emissions Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas Emissions October 7, 2013 - 11:46am Addthis YOU ARE HERE: Step 2 As Federal agencies work to identify opportunities for right-sizing the fleet and replacing inefficient vehicles with new, efficient, and/or alternatively fueled models to reduce greenhouse gas (GHG) emissions, they should flag potential mission constraints associated with vehicle usage. This may involve further data collection to understand the mission considerations associated with individual vehicles. For instance, in Figure 1, Vehicle 004 appears to be underutilized, having both a low user-to-vehicle ratio and a relatively low time in use per day. However,

408

Scenario Analysis on the Impact of Diffusion of Next Generation Vehicles on Material Consumption and GHG Emissions  

Science Journals Connector (OSTI)

In this study, we developed an automobile cohort model to evaluate the effect of the diffusion of next generation vehicles such as hybrid electric vehicles and electric vehicles on material consumption and GHG em...

Yuta Higuchi; Naoki Wada; Toyohiko Nakakubo…

2012-01-01T23:59:59.000Z

409

Impact of fuel price on vehicle miles traveled (VMT): do the poor respond in the same way as the rich?  

Science Journals Connector (OSTI)

The effects of fuel price on travel demand for different income groups ... choices and constraints by examining the variation of fuel price elasticity of vehicle miles travelled (VMT) ... in VMT as a result of im...

Tingting Wang; Cynthia Chen

2014-01-01T23:59:59.000Z

410

Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

39: October 6, 39: October 6, 2008 Light Vehicle Production by State to someone by E-mail Share Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle Production by State on Facebook Tweet about Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle Production by State on Twitter Bookmark Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle Production by State on Google Bookmark Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle Production by State on Delicious Rank Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle Production by State on Digg Find More places to share Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle Production by State on AddThis.com... Fact #539: October 6, 2008

411

Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1: January 23, 1: January 23, 2012 Top Vehicles around the Globe, 2011 to someone by E-mail Share Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles around the Globe, 2011 on Facebook Tweet about Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles around the Globe, 2011 on Twitter Bookmark Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles around the Globe, 2011 on Google Bookmark Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles around the Globe, 2011 on Delicious Rank Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles around the Globe, 2011 on Digg Find More places to share Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles around the Globe, 2011 on AddThis.com...

412

Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

4 Progress Report 4 Progress Report for Heavy Vehicle Propulsion Materials Program to someone by E-mail Share Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle Propulsion Materials Program on Facebook Tweet about Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle Propulsion Materials Program on Twitter Bookmark Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle Propulsion Materials Program on Google Bookmark Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle Propulsion Materials Program on Delicious Rank Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle Propulsion Materials Program on Digg Find More places to share Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle Propulsion Materials Program on

413

Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

9: May 10, 2004 9: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison to someone by E-mail Share Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison on Facebook Tweet about Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison on Twitter Bookmark Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison on Google Bookmark Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison on Delicious Rank Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison on Digg Find More places to share Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison on

414

Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

300: December 29, 300: December 29, 2003 World Vehicle Production by Country/Region to someone by E-mail Share Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle Production by Country/Region on Facebook Tweet about Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle Production by Country/Region on Twitter Bookmark Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle Production by Country/Region on Google Bookmark Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle Production by Country/Region on Delicious Rank Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle Production by Country/Region on Digg Find More places to share Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle Production by Country/Region on

415

Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Progress Report 3 Progress Report for Heavy Vehicle Propulsion Materials Program to someone by E-mail Share Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle Propulsion Materials Program on Facebook Tweet about Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle Propulsion Materials Program on Twitter Bookmark Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle Propulsion Materials Program on Google Bookmark Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle Propulsion Materials Program on Delicious Rank Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle Propulsion Materials Program on Digg Find More places to share Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle Propulsion Materials Program on

416

Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5: January 11, 5: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 to someone by E-mail Share Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 on Facebook Tweet about Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 on Twitter Bookmark Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 on Google Bookmark Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 on Delicious Rank Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 on Digg Find More places to share Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 on AddThis.com...

417

Future Potential of Hybrid and Diesel Powertrains in the U.S. Light-duty Vehicle Market  

SciTech Connect (OSTI)

Diesel and hybrid technologies each have the potential to increase light-duty vehicle fuel economy by a third or more without loss of performance, yet these technologies have typically been excluded from technical assessments of fuel economy potential on the grounds that hybrids are too expensive and diesels cannot meet Tier 2 emissions standards. Recently, hybrid costs have come down and the few hybrid makes available are selling well. Diesels have made great strides in reducing particulate and nitrogen oxide emissions, and are likely though not certain to meet future standards. In light of these developments, this study takes a detailed look at the market potential of these two powertrain technologies and their possible impacts on light-duty vehicle fuel economy. A nested multinomial logit model of vehicle choice was calibrated to 2002 model year sales of 930 makes, models and engine-transmission configurations. Based on an assessment of the status and outlook for the two technologies, market shares were predicted for 2008, 2012 and beyond, assuming no additional increase in fuel economy standards or other new policy initiatives. Current tax incentives for hybrids are assumed to be phased out by 2008. Given announced and likely introductions by 2008, hybrids could capture 4-7% and diesels 2-4% of the light-duty market. Based on our best guesses for further introductions, these shares could increase to 10-15% for hybrids and 4-7% for diesels by 2012. The resulting impacts on fleet average fuel economy would be about +2% in 2008 and +4% in 2012. If diesels and hybrids were widely available across vehicle classes, makes, and models, they could capture 40% or more of the light-duty vehicle market.

Greene, D.L.

2004-08-23T23:59:59.000Z

418

Vehicle Technologies Office Merit Review 2014: Reassessing the...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Technologies Office Merit Review 2014: Reassessing the Outlook of US Oil Dependence Using Oil Security Metrics Model (OSMM) Vehicle Technologies Office Merit Review 2014:...

419

IMPROVED PRUNING IN COLUMN GENERATION OF A VEHICLE ROUTING PROBLEM  

E-Print Network [OSTI]

column generation, shadow price model 1. Introduction The German automobile club ADAC (Allgemeiner Deutscher Automobil- Club) maintains a heterogeneous fleet of service vehicles in order to assist people

Krumke, Sven O.

420

Advanced Vehicle Testing Activity (AVTA) ? Non-PHEV Evaluations...  

Broader source: Energy.gov (indexed) [DOE]

simulation and analysis technical team every other month * Testing results and life-cycle costs are used by vehicle modelers * Partnering with private sector testers provides...

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Advanced Technology Vehicle Lab Benchmarking - Level 2 (in-depth...  

Broader source: Energy.gov (indexed) [DOE]

technology development - Evaluation of electric vehicle benefits and challenges 3 HEV Systems Reduce cost, increase energy of energy storage Low-cost power electronics Modeling...

422

Idaho National Laboratory Testing of Advanced Technology Vehicles  

Broader source: Energy.gov (indexed) [DOE]

(not modeled) instrumentation and data collection of vehicle charging demand and energy costs at Tacoma Power, in Tacoma Washington * Tested PHEVs with lithium batteries...

423

CMVRTC: Overweight Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

overweight vehicle data collection overweight vehicle data collection scale The Federal Motor Carrier Safety Administration requested information regarding overweight and oversized vehicle traffic entering inspection stations (ISs) in order to develop strategies for future research efforts and possibly help guide regulatory issues involving overweight commercial motor vehicles (CMVs). For a period of one month, inspection stations in Knox County and Greene County, Tennessee, recorded overweight and oversized vehicles that entered these ISs. During this period, 435 CMVs were recorded using an electronic form filled out by enforcement personnel at the IS. Of the 435 CMVs recorded, 381 had weight information documented with them. The majority (52.2%) of the vehicles recorded were five-axle combination

424

Vehicle Technologies Office: Lubricants  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Lubricants Lubricants As most vehicles are on the road for more than 15 years before they are retired, investigating technologies that will improve today's vehicles is essential. Because 11.5 percent of fuel energy is consumed by engine friction, decreasing this friction through lubricants can lead to substantial improvements in the fuel economy of current vehicles, without needing to wait for the fleet to turn over. In fact, a 1 percent fuel savings in the existing vehicle fleet possible through lubricants could save 97 thousand barrels of oil a day or $3.5 billion a year. Because of these benefits, the Vehicle Technologies Office supports research on lubricants that can improve the efficiency of internal combustion engine vehicles, complementing our work on advanced combustion engine technology.

425

Vehicle underbody fairing  

DOE Patents [OSTI]

A vehicle underbody fairing apparatus for reducing aerodynamic drag caused by a vehicle wheel assembly, by reducing the size of a recirculation zone formed under the vehicle body immediately downstream of the vehicle wheel assembly. The fairing body has a tapered aerodynamic surface that extends from a front end to a rear end of the fairing body with a substantially U-shaped cross-section that tapers in both height and width. Fasteners or other mounting devices secure the fairing body to an underside surface of the vehicle body, so that the front end is immediately downstream of the vehicle wheel assembly and a bottom section of the tapered aerodynamic surface rises towards the underside surface as it extends in a downstream direction.

Ortega, Jason M. (Pacifica, CA); Salari, Kambiz (Livermore, CA); McCallen, Rose (Livermore, CA)

2010-11-09T23:59:59.000Z

426

Advanced Technology Vehicle Testing  

SciTech Connect (OSTI)

The goal of the U.S. Department of Energy's Advanced Vehicle Testing Activity (AVTA) is to increase the body of knowledge as well as the awareness and acceptance of electric drive and other advanced technology vehicles (ATV). The AVTA accomplishes this goal by testing ATVs on test tracks and dynamometers (Baseline Performance testing), as well as in real-world applications (Fleet and Accelerated Reliability testing and public demonstrations). This enables the AVTA to provide Federal and private fleet managers, as well as other potential ATV users, with accurate and unbiased information on vehicle performance and infrastructure needs so they can make informed decisions about acquiring and operating ATVs. The ATVs currently in testing include vehicles that burn gaseous hydrogen (H2) fuel and hydrogen/CNG (H/CNG) blended fuels in internal combustion engines (ICE), and hybrid electric (HEV), urban electric, and neighborhood electric vehicles. The AVTA is part of DOE's FreedomCAR and Vehicle Technologies Program.

James Francfort

2004-06-01T23:59:59.000Z

427

Lateral control of articulated vehicles for automated highway systems under uncertainty in vehicle parameters  

E-Print Network [OSTI]

OF CONTENTS Vl LIST OF TABLES LIST OF FIGURES V111 CHAPTER I INTRODUCTION CHAPTER II ARTICULATED VEHICLE MODELING 2. 1 22 23 2. 4 25 26 Introduction . Longitudinal Model of the Tractor-Semitrailer . . . Modeling the Tractor-Semitrailer Linkage... FOR AUTOMATED HIGHWAY SYSTEMS . . . . . . . . . . . . . . . . . . . . 29 4. 1 4. 2 4. 3 Road Reference Frame . Steering Control of Tractor-Semitrailer Vehicles . . . 4, 2. 1 Controller Design . . 4. 2. 2 Simulation Results . . . Steering and Independent...

Daud, Omar

2012-06-07T23:59:59.000Z

428

Accomodating Electric Vehicles  

E-Print Network [OSTI]

Accommodating Electric Vehicles Dave Aasheim 214-551-4014 daasheim@ecotality.com A leader in clean electric transportation and storage technologies ECOtality North America Overview Today ? Involved in vehicle electrification... ECOtality North America Overview Today ?Warehouse Material Handling ? Lift trucks ? Pallet Jacks ? Over 200 Customers ? Over 5,000 Installations ECOtality North America Overview Today ? 1990?s involved in EV1 ? EV Chargers ? Vehicle & battery...

Aasheim, D.

2011-01-01T23:59:59.000Z

429

New Calculator Helps You Buy the Energy-Saving Vehicle of Your Dreams |  

Broader source: Energy.gov (indexed) [DOE]

Calculator Helps You Buy the Energy-Saving Vehicle of Your Calculator Helps You Buy the Energy-Saving Vehicle of Your Dreams New Calculator Helps You Buy the Energy-Saving Vehicle of Your Dreams November 15, 2011 - 5:25am Addthis Eric Barendsen Energy Technology Program Specialist, Office of Energy Efficiency and Renewable Energy Every day, people across America are making the choice to buy energy-efficient vehicles that save energy and money, protect the environment, and help reduce America's dependence on foreign oil. The work we do at the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) has played an important role in developing key technologies - such as innovative batteries - that are making possible the hybrids, electric vehicles, and other alternative fuel vehicles available to consumers and fleets today. These high-efficiency vehicles,

430

Quadrennial Technology Review Vehicle Efficiency and Electrification...  

Broader source: Energy.gov (indexed) [DOE]

Vehicle Efficiency and Electrification Workshop Documents Quadrennial Technology Review Vehicle Efficiency and Electrification Workshop Documents QTR Vehicle Efficiency and...

431

Advanced Technology Vehicles Manufacturing Incentive Program...  

Broader source: Energy.gov (indexed) [DOE]

Advanced Technology Vehicles Manufacturing Incentive Program Advanced Technology Vehicles Manufacturing Incentive Program A fact sheet detailling the advanced technology vehicles...

432

Tuning electronic and magnetic properties of armchair|zigzag hybrid graphene nanoribbons by the choice of supercell model of grain boundaries  

SciTech Connect (OSTI)

Grain boundaries (GBs) attract much interest for its ability to tune the property of hybrid materials. Theoretically predicting the properties of hybrid graphene with GBs, even a linear GB remains challenging due to its inhomogeneous structure, which makes supercell model tough to choose in theoretic studies. For the first time, the applicability of supercells with different GBs and lattice-mismatches for describing armchair-zigzag hybrid graphene nanoribbons was validated by ab initio molecular dynamic simulations and first principles electronic structure calculations. And to what extent the electronic properties can be tuned by the strain effects resulting from the lattice-mismatch and the GBs distortion in supercells was demonstrated. This work showed that the intrinsic strain in such system plays a decisive role in determining the band structure and spin polarization properties. Hybrid graphene nanoribbon was found to be ferromagnetic in the ground state, especially for the case of using the supercell with nearly-perfect lattice match. Its high Curie temperature suggests the potential applications of this material in spintronics.

Lian, Ke-Yan [Institute of Atomic and Molecular Physics, Jilin University, Changchun 130012 (China); Division of Theoretical Chemistry and Biology, School of Biotechnology, KTH, Royal Institute of Technology, S-106 91 Stockholm (Sweden); Li, Xiao-Fei, E-mail: xfli@theochem.kth.se [School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, Sichuan 610054 (China); Division of Theoretical Chemistry and Biology, School of Biotechnology, KTH, Royal Institute of Technology, S-106 91 Stockholm (Sweden); Duan, Sai [Division of Theoretical Chemistry and Biology, School of Biotechnology, KTH, Royal Institute of Technology, S-106 91 Stockholm (Sweden); Jin, Ming-Xing; Ding, Da-Jun [Institute of Atomic and Molecular Physics, Jilin University, Changchun 130012 (China); Luo, Yi, E-mail: Luo@kth.se [Division of Theoretical Chemistry and Biology, School of Biotechnology, KTH, Royal Institute of Technology, S-106 91 Stockholm (Sweden); Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, Anhui 230026 (China)

2014-03-14T23:59:59.000Z

433

Advanced Vehicle Electrification  

Broader source: Energy.gov [DOE]

2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C.

434

Flex Fuel Vehicle Systems  

Broader source: Energy.gov [DOE]

2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C.

435

Electric Vehicle Supply Equipment  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Procurement of Electric Vehicle Supply Equipment This Guidance provides a description of the types of requirements to be included in an employer's workplace charging request for...

436

Vehicle Technologies Office: Conferences  

Broader source: Energy.gov [DOE]

The Vehicle Technologies Office supports and sponsors conferences related to the Office's goals and objectives. When such conferences are planned and conference information becomes available, it...

437

Alternative Fuel Vehicle Resources  

Broader source: Energy.gov [DOE]

Alternative fuel vehicles use fuel types other than petroleum and include such fuels as electricity, ethanol, biodiesel, natural gas, hydrogen, and propane. Compared to petroleum, these...

438

Vehicle Emissions Review - 2012  

Broader source: Energy.gov (indexed) [DOE]

Vehicle Emissions Review - 2012 Tim Johnson October 16, 2012 2 Environmental Technologies Summary * Regulations - LEVIII finalized, Tier 3? RDE in Europe developing and very...

439

Vehicle highway automation.  

E-Print Network [OSTI]

??Vehicle Highway Automation has been studied for several years but a practical system has not been possible because of technology limitations. New advances in sensing… (more)

Challa, Dinesh Kumar

2009-01-01T23:59:59.000Z

440

Vehicles | Department of Energy  

Energy Savers [EERE]

Calculator is an interactive tool that helps you plan a route, pick a car and estimate a fuel costs. Subtopics Alternative Fuel Vehicles Batteries Hydrogen & Fuel Cells Bioenergy...

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Integrated Vehicle Thermal Management  

Broader source: Energy.gov [DOE]

2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C.

442

Capturing the Usage of the German Car Fleet for a One Year Period to Evaluate the Suitability of Battery Electric Vehicles – A Model based Approach  

Science Journals Connector (OSTI)

Abstract The low driving range of battery electric vehicles (BEV) is often considered as relevant reason for the low BEV sales. In order to verify this assumption, the usage of conventional cars in Germany needs to be analyzed. These analyses may help to make more reliable and realistic statements to what extent German cars could be replaced by \\{BEVs\\} without restrictions for their users. Most travel surveys do only consider a single day or a short period of time in the analysis. Longer time periods should be taken into consideration when analyzing the travel data since the daily car usage is not identical every day. Since there are no representative and detailed car usage surveys over longer periods available a hybrid car usage model was developed to close that gap. This model is mainly based on three mobility surveys: the German Mobility Panel (MOP), the car mileage and fuel consumption survey, and the long distance travel survey INVERMO. We show that 13% of the modeled German private car fleet never exceeds 100 km per day during a full year and could be replaced by \\{BEVs\\} without any usage restrictions for their car owners. Another 16% of the modeled private car fleet is driven more than 100 km on 1-4 days during a full year and can be substituted with slight adjustments. These cars are often second cars of a household and used less intensively (6,600 km/year resp. 7600 km/year) than cars not suited for BEV substitution (14,800 km/year). Households that could replace their cars tend to have a lower disposable income. The crux of the matter, however, is that substitution of conventional cars is often not feasible since the mobility budget of BEV suited households tends to be too low or does not make economic sense due to the low annual mileage.

Christine Weiss; Bastian Chlond; Michael Heilig; Peter Vortisch

2014-01-01T23:59:59.000Z

443

Plug-In Hybrid Electric Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

* Batteries * Batteries * Downloadable Dynanometer Database (D3) * Modeling * Prototypes * Testing * Assessment PSAT Smart Grid Student Competitions Technology Analysis Transportation Research and Analysis Computing Center Working With Argonne Contact TTRDC Argonne Leads DOE's Effort to Evaluate Plug-in Hybrid Technology aprf testing Argonne's Advanced Powertrain Research Facility (APRF) enables researchers to conduct vehicle benchmarking and testing activities that provide data critical to the development and commercialization of next-generation vehicles such as PHEVs. Argonne's Research Argonne National Laboratory is the U.S. Department of Energy's lead national laboratory for the simulation, validation and laboratory evaluation of plug-in hybrid electric vehicles and the advanced

444

Vehicle Data for Alternative Fuel Vehicles (AFVs) and Hybrid Fuel Vehicles (HEVs) from the Alternative Fuels and Advanced Vehicles Data Center (AFCD)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

The AFDC provides search capabilities for many different models of both light-duty and heavy-duty vehicles. Engine and transmission type, fuel and class, fuel economy and emission certification are some of the facts available. The search will also help users locate dealers in their areas and do cost analyses. Information on alternative fuel vehicles and on advanced technology vehicles, along with calculators, resale and conversion information, links to incentives and programs such as Clean Cities, and dozens of fact sheets and publications make this section of the AFDC a valuable resource for car buyers.

445

AVTA: Vehicle to EVSE Smart Grid Communications Report  

Broader source: Energy.gov [DOE]

The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries out testing on a wide range of advanced vehicles and technologies on dynamometers, closed test tracks, and on-the-road. These results provide benchmark data that researchers can use to develop technology models and guide future research and development. The following report describes results from research and testing on vehicle to EVSE smart grid communications interfaces, as informed by the AVTA's testing on plug-in electric vehicle charging equipment. This research was conducted by Idaho National Laboratory.

446

2012 U.S. Vehicle Analysis  

E-Print Network [OSTI]

Electric Vehicles …………………………………………………………. Dieselperformance of electric vehicles Diesel Vehicle From Tableelectric vehicles ……………………… 3.15: Emission and fuel efficiency performance of diesel

Lam, Ho Yeung Michael

2012-01-01T23:59:59.000Z

447

Living Labs of Electric Vehicle Integration  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Living Labs of Electric Vehicle Integration Living Labs of Electric Vehicle Integration Speaker(s): Johan Driesen Date: May 11, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Chris Marnay Electric vehicles and plug-in hybrid vehicles are key to making transportation sustainable and climate change neutral. This talk will focus on the electricity grid integration aspects of wide-scale charging infrastructure: the impact on generation capacity, transmission and distribution are dealt with through measurements, modeling and scenario simulations. The advantages and problems of the possible business models to pay for the charging are discussed. Alternative charging and grid-coupling technology (e.g. wireless inductive charging) is considered. The relationship with the transition towards "smart cities" is discussed. In

448

2008-07-22 Summary of Choices  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A T I O N 2008 - CONTRACT SIGNING * Core Purchase Obligation Choice (section 3 in body) * Load Following * Block (with or without Shaping Capacity) * Choice of Monthly and Diurnal...

449

Vehicle Technologies Office: Fact #304: January 26, 2004 Hybrid Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

4: January 26, 4: January 26, 2004 Hybrid Vehicle Purchases Earn Federal Tax Deductions to someone by E-mail Share Vehicle Technologies Office: Fact #304: January 26, 2004 Hybrid Vehicle Purchases Earn Federal Tax Deductions on Facebook Tweet about Vehicle Technologies Office: Fact #304: January 26, 2004 Hybrid Vehicle Purchases Earn Federal Tax Deductions on Twitter Bookmark Vehicle Technologies Office: Fact #304: January 26, 2004 Hybrid Vehicle Purchases Earn Federal Tax Deductions on Google Bookmark Vehicle Technologies Office: Fact #304: January 26, 2004 Hybrid Vehicle Purchases Earn Federal Tax Deductions on Delicious Rank Vehicle Technologies Office: Fact #304: January 26, 2004 Hybrid Vehicle Purchases Earn Federal Tax Deductions on Digg Find More places to share Vehicle Technologies Office: Fact #304:

450

Vehicle Technologies Office: Fact #618: April 12, 2010 Vehicles per  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

8: April 12, 8: April 12, 2010 Vehicles per Household and Other Demographic Statistics to someone by E-mail Share Vehicle Technologies Office: Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics on Facebook Tweet about Vehicle Technologies Office: Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics on Twitter Bookmark Vehicle Technologies Office: Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics on Google Bookmark Vehicle Technologies Office: Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics on Delicious Rank Vehicle Technologies Office: Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics on Digg Find More places to share Vehicle Technologies Office: Fact #618:

451

Vehicle Technologies Office: 2010 Vehicle and Systems Simulation...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Office: 2010 Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2010 Vehicle and Systems Simulation and Testing R&D Annual Progress...

452

Vehicle Technologies Office: 2012 Vehicle and Systems Simulation...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

2 Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2012 Vehicle and Systems Simulation and Testing R&D Annual Progress Report FY...

453

Vehicle Technologies Office: 2013 Vehicle and Systems Simulation...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

3 Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2013 Vehicle and Systems Simulation and Testing R&D Annual Progress Report FY...

454

Vehicle Technologies Office: 2011 Vehicle and Systems Simulation...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

1 Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2011 Vehicle and Systems Simulation and Testing R&D Annual Progress Report FY...

455

Vehicle Technologies Office Merit Review 2014: In-Vehicle Evaluation...  

Broader source: Energy.gov (indexed) [DOE]

In-Vehicle Evaluation of Lower-Energy Energy Storage System (LEESS) Devices Vehicle Technologies Office Merit Review 2014: In-Vehicle Evaluation of Lower-Energy Energy Storage...

456

Vehicle Technologies Office: Fact #525: June 30, 2008 Six and Eight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5: June 30, 2008 5: June 30, 2008 Six and Eight Cylinder Engines are the Most Prevalent among Light Vehicle Model Offerings for the 2008 Model Year to someone by E-mail Share Vehicle Technologies Office: Fact #525: June 30, 2008 Six and Eight Cylinder Engines are the Most Prevalent among Light Vehicle Model Offerings for the 2008 Model Year on Facebook Tweet about Vehicle Technologies Office: Fact #525: June 30, 2008 Six and Eight Cylinder Engines are the Most Prevalent among Light Vehicle Model Offerings for the 2008 Model Year on Twitter Bookmark Vehicle Technologies Office: Fact #525: June 30, 2008 Six and Eight Cylinder Engines are the Most Prevalent among Light Vehicle Model Offerings for the 2008 Model Year on Google Bookmark Vehicle Technologies Office: Fact #525: June 30, 2008 Six

457

Fact #854 January 5, 2015 Driving Ranges for All-Electric Vehicles...  

Energy Savers [EERE]

4 January 5, 2015 Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles Fact 854 January 5, 2015 Driving Ranges for All-Electric Vehicles in Model...

458

2010 Asia-Pacific International Symposium on Aerospace Technology Control-oriented Modeling for Hypersonic Vehicle Control  

E-Print Network [OSTI]

that viscous effect increase drag by about 32% and has little effect on pitch moment, lift, poles and zeros of the aircraft and z axis points downward. x0 and z0 are x and z direction distance from lip point to the origin the pressure distribution on the model's four regions. Region I is under the forebody, region II is under

Huang, Xun

459

Federal Tax Credit for Electric Vehicles Purchased in or after 2010  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Federal Tax Credits for Electric Vehicles Purchased in or after 2010 Federal Tax Credits for Electric Vehicles Purchased in or after 2010 Photo of cash and keys Federal Tax Credit Up To $7,500! Electric vehicles (EVs) purchased in or after 2010 may be eligible for a federal income tax credit of up to $7,500. The credit amount will vary based on the capacity of the battery used to fuel the vehicle. This credit replaces an earlier credit for EVs purchased in 2009. Small neighborhood electric vehicles do not qualify for this credit, but they may qualify for another credit. Vehicle Make & Model Full Credit Phase Out No Credit 50% 25% AMP Electric Vehicles Jan. 1, 2010, to Present TBD TBD TBD GCE Electric Vehicle 2012 GCE Electric Vehicle $7,500 -- -- -- MLE Electric Vehicle 2012 MLE Electric Vehicle $7,500 -- -- -- BMW Jan. 1, 2010, to Present TBD TBD TBD

460

Graduate AI Lecture 20: Social Choice I  

E-Print Network [OSTI]

Dodgson · 20th Century: Nobel prizes to Kenneth Arrow and Amartya Sen 2 #12;Computational social choice

Procaccia, Ariel

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

A hybrid vehicle evaluation code and its application to vehicle design. Revision 2  

SciTech Connect (OSTI)

This paper describes a hybrid vehicle simulation model which can be applied to many of the vehicles currently being considered for low pollution and high fuel economy. The code operates in batch mode with all the vehicle information stored in data files. The code calculates power train dimensions, fuel economy for three driving schedules, time for 0-96 km/h at maximum acceleration, hill climbing performance, and pollution generation rates. This paper also documents the application of the code to a hybrid vehicle that utilizes a hydrogen internal combustion engine. The simulation model is used for parametric studies of the vehicle. The results show the fuel economy of the vehicle as a function of vehicle mass, aerodynamic drag, engine efficiency, accessory load, and flywheel efficiency. The code also calculates the minimum flywheel energy and power to obtain a desired performance. The hydrogen hybrid vehicle analyzed in the paper has a range of 480 km (300 miles), with a predicted gasoline equivalent fuel efficiency of 33.7 km/liter (79.3 mpg).

Aceves, S.M.; Smith, J.R.

1994-12-13T23:59:59.000Z

462

A hybrid vehicle evaluation code and its application to vehicle design. Revision 1  

SciTech Connect (OSTI)

This paper describes a hybrid vehicle simulation model which can be applied to many of the vehicles currently being considered for low pollution and high fuel economy. The code operates in batch mode with all the vehicle information stored in data files. The code calculates fuel economy for three driving schedules, time for 0--96 km/h at maximum acceleration, hill climbing performance, power train dimensions, and pollution generation rates. This paper also documents the application of the code to a hybrid vehicle that utilizes a hydrogen internal combustion engine. The simulation model is used for parametric studies of the vehicle. The results show the fuel economy of the vehicle as a function of vehicle mass, aerodynamic drag, engine efficiency, accessory load, and flywheel efficiency. The code also calculates the minimum flywheel energy and power to obtain a desired performance. The hydrogen hybrid vehicle analyzed in the paper has a predicted range of 480 km (300 miles), with a gasoline equivalent fuel efficiency of 34.2 km/liter (80.9 mpg).

Aceves, S.M.; Smith, J.R.

1994-09-15T23:59:59.000Z

463

TTRDC - Light Duty E-Drive Vehicles Monthly Sales Updates  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Light Duty Electric Drive Vehicles Monthly Sales Updates Currently available electric-drive vehicles (EDV) in the U.S market include hybrid electric vehicles (HEV), plug-in hybrid electric vehicles (PHEV), and all electric vehicles (AEV). Plug-in Vehicles (PEV) include both PHEV and AEV. HEVs debuted in the U.S. market in December 1999 with 17 sales of the first-generation Honda Insight, while the first PHEV (Chevrolet Volt) and AEV (Nissan Leaf) most recently debuted in December 2010. Electric drive vehicles are offered in several car and SUV models, and a few pickup and van models. Historical sales of HEV, PHEV, and AEV are compiled by Argonne's Center for Transportation Research and reported to the U.S. Department of Energy's Vehicle Technology Program Office each month. These sales are shown in Figures 1, 2 and 3. Figure 1 shows monthly new PHEV and AEV sales by model. Figure 2 shows yearly new HEV sales by model. Figure 3 shows electric drive vehicles sales share of total light-duty vehicle (LDV) sales since 1999. Figure 4 shows HEV and PEV sales change with gasoline price..

464

NREL: Vehicles and Fuels Research - Hydraulic Hybrid Fleet Vehicle...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Hydraulic Hybrid Fleet Vehicle Testing How Hydraulic Hybrid Vehicles Work Hydraulic hybrid systems can capture up to 70% of the kinetic energy that would otherwise be lost during...

465

Challenges in Electric Vehicle Adoption and Vehicle-Grid Integration.  

E-Print Network [OSTI]

??With rapid innovation in vehicle and battery technology and strong support from governmental bodies and regulators, electric vehicles (EV) sales are poised to rise. While… (more)

Xi, Xiaomin

2013-01-01T23:59:59.000Z

466

Vehicle Technologies Market Report  

E-Print Network [OSTI]

· Diesel comprised 73% of the class 3-8 trucks sold in 2010, down from 84% in 2006 · Class 8 combination 2011 · There are more than 4,400 electric vehicle charging stations throughout the nation · Single wide stop sites across the country to reduce truck idling time Policy · Plug-in hybrids and electric vehicle

467

> 070131-073Vehicle  

E-Print Network [OSTI]

-how developed with the design ofthe ROAZ ASV [3] [4]. Power is provided by electric batteries. The computer> 070131-073Vehicle for Network Centric Operations H. Ferreira-The design and development of the Swordfish Autonomous Surface Vehicle (ASV) system is discussed. Swordfish

Marques, Eduardo R. B.

468

Vehicle Technologies Office: Advanced Combustion Engines  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Combustion Engines Combustion Engines Improving the efficiency of internal combustion engines is one of the most promising and cost-effective near- to mid-term approaches to increasing highway vehicles' fuel economy. The Vehicle Technologies Office's research and development activities address critical barriers to commercializing higher efficiency, very low emissions advanced internal combustion engines for passenger and commercial vehicles. This technology has great potential to reduce U.S. petroleum consumption, resulting in greater economic, environmental, and energy security. Already offering outstanding drivability and reliability to over 230 million passenger vehicles, internal combustion engines have the potential to become substantially more efficient. Initial results from laboratory engine tests indicate that passenger vehicle fuel economy can be improved by more than up to 50 percent, and some vehicle simulation models estimate potential improvements of up to 75 percent. Advanced combustion engines can utilize renewable fuels, and when combined with hybrid electric powertrains could have even further reductions in fuel consumption. As the EIA reference case forecasts that by 2035, more than 99 percent of light- and heavy-duty vehicles sold will still have internal combustion engines, the potential fuel savings is tremendous.

469

CMVRTC: Overweight Vehicle  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Heavy and overweight vehicle brake testing for combination five-axle Heavy and overweight vehicle brake testing for combination five-axle tractor-flatbed scale The Federal Motor Carrier Safety Administration, in coordination with the Federal Highway Administration, sponsored the Heavy and Overweight Vehicle Brake Testing (HOVBT) program in order to provide information about the effect of gross vehicle weight (GVW) on braking performance. Because the Federal Motor Carrier Safety Regulations limit the number of braking system defects that may exist for a vehicle to be allowed to operate on the roadways, the examination of the effect of brake defects on brake performance for increased loads is also relevant. The HOVBT program seeks to provide relevant information to policy makers responsible for establishing load limits, beginning with providing test data for a

470

Vehicle Technologies Office Merit Review 2014: Coupling of Mechanical Behavior of Cell Components to Electrochemical-Thermal Models for Computer-Aided Engineering of Batteries under Abuse  

Broader source: Energy.gov [DOE]

Presentation given by NREL at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about coupling of mechanical behavior of cell...

471

Multi-vehicle Mobility Allowance Shuttle Transit (MAST) System - An Analytical Model to Select the Fleet Size and a Scheduling Heuristic  

E-Print Network [OSTI]

The mobility allowance shuttle transit (MAST) system is a hybrid transit system in which vehicles are allowed to deviate from a fixed route to serve flexible demand. A mixed integer programming (MIP) formulation for the static scheduling problem...

Lu, Wei

2012-10-19T23:59:59.000Z

472

Vehicle Technologies Office Merit Review 2014: A Combined Experimental and Modeling Approach for the Design of High Coulombic Efficiency Si Electrodes  

Broader source: Energy.gov [DOE]

Presentation given by General Motors at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about a combined experimental and...

473

Fact #854 January 5, 2015 Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles  

Broader source: Energy.gov [DOE]

Driving ranges for all-electric vehicles vary considerably. Based on the official Environmental Protection Agency (EPA) range values reported on window stickers, the Mitsubishi i-MiEV has the...

474

Vehicle Technologies Office Merit Review 2014: First Principles Modeling of SEI Formation on Bare and Surface/Additive Modified Silicon Anodes  

Broader source: Energy.gov [DOE]

Presentation given by Texas A&M University at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about first principles...

475

Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 |  

Broader source: Energy.gov (indexed) [DOE]

Electric and Hybrid Electric Vehicle Sales: December 2010 - June Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 Sales data for various models of electric and hybrid electric vehicles from December 2010 through June 2013. 062010-092013_EV_HEV Sales.xlsx Description Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 (Excel) 062010-092013_EV_HEV Sales.csv Description Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 (CSV) 062010-092013_EV_HEV Sales.jpeg Description Chart of Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 (JPG) More Documents & Publications Federal Reporting Recipient Information Natural Gas Imports and Exports - Second Quarter Report 2013 Federal Reporting Recipient Information

476

Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 |  

Broader source: Energy.gov (indexed) [DOE]

Electric and Hybrid Electric Vehicle Sales: December 2010 - June Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 Sales data for various models of electric and hybrid electric vehicles from December 2010 through June 2013. 062010-092013_EV_HEV Sales.xlsx Description Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 (Excel) 062010-092013_EV_HEV Sales.csv Description Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 (CSV) 062010-092013_EV_HEV Sales.jpeg Description Chart of Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 (JPG) More Documents & Publications Federal Reporting Recipient Information Natural Gas Imports and Exports - Second Quarter Report 2013 Federal Reporting Recipient Information

477

Vehicle Technologies Office: Fact #651: November 29, 2010 Hybrid Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1: November 29, 1: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 to someone by E-mail Share Vehicle Technologies Office: Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 on Facebook Tweet about Vehicle Technologies Office: Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 on Twitter Bookmark Vehicle Technologies Office: Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 on Google Bookmark Vehicle Technologies Office: Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 on Delicious Rank Vehicle Technologies Office: Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 on Digg

478

Vehicle Technologies Office: Plug-in Electric Vehicle Basics  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Basics Basics Plug-in electric vehicles (PEVs), which include both plug-in hybrid electric vehicles and all-electric vehicles, use electricity as either their primary fuel or to improve efficiency. Commonly Used PEV Terms All-electric vehicle (AEV) - A vehicle with plug-in capability; driving energy comes entirely from its battery. Plug-in hybrid electric vehicle (PHEV) - A vehicle with plug-in capability; driving energy can come from either its battery or a liquid fuel like gasoline, diesel, or biofuels. Plug-in electric vehicle (PEV) - Any vehicle with plug-in capability. This includes AEVs and PHEVs. Hybrid electric vehicle (HEV) - A vehicle that has an electric drive system and battery but does not have plug-in capability; driving energy comes only from liquid fuel.

479

Manhattan Project: Difficult Choices, 1942  

Office of Scientific and Technical Information (OSTI)

"Met Lab" alumni at the University of Chicago -- Fermi is on the far left of the front row; Zinn is on Fermi's left; Anderson is on the far right of the front row; and Szilard is over Anderson's right shoulder. DIFFICULT CHOICES "Met Lab" alumni at the University of Chicago -- Fermi is on the far left of the front row; Zinn is on Fermi's left; Anderson is on the far right of the front row; and Szilard is over Anderson's right shoulder. DIFFICULT CHOICES (1942) Events More Uranium Research, 1942 More Piles and Plutonium, 1942 Enter the Army, 1942 Groves and the MED, 1942 Picking Horses, November 1942 Final Approval to Build the Bomb, December 1942 By early 1942, as the United States suffered a series of military defeats in the Pacific, top officials in Washington tentatively had decided to proceed with the construction of an atomic bomb. Two paths seemed possible. A uranium bomb could be achieved if sufficient uranium-235 could be produced by one or more of the three isotope separation methods under consideration: gaseous diffusion, centrifuge, and electromagnetic. A plutonium bomb might provide a quicker route, but it required demonstration that plutonium could be produced in a uranium pile and then be separated in usable quantities. To this end, Arthur Compton consolidated most plutonium research at the new Metallurgical Laboratory (Met Lab) at the University of Chicago.

480

Vehicle Technologies Office: Propulsion Systems  

Broader source: Energy.gov [DOE]

Vehicle Technologies Office research focuses much of its effort on improving vehicle fuel economy while meeting increasingly stringent emissions standards. Achieving these goals requires a...

Note: This page contains sample records for the topic "vehicle choice modeling" from the National Library of EnergyBeta (NLEBeta).
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481

Electric vehicles | Open Energy Information  

Open Energy Info (EERE)

vehicles Jump to: navigation, search TODO: add content Electric vehicles first came into existence in the mid-19th century, when electricity was among the preferred methods for...

482

Gasoline Ultra Fuel Efficient Vehicle  

Broader source: Energy.gov (indexed) [DOE]

Principal Investigator 13MY11 2011 DOE Vehicle Technologies Review Gasoline Ultra Fuel Efficient Vehicle ACE064 "This presentation does not contain any proprietary,...

483

Household Vehicles Energy Consumption 1991  

U.S. Energy Information Administration (EIA) Indexed Site

homes, pickup trucks, and jeeps or similar vehicles. See Vehicle. Average Household Energy Expenditures: A ratio estimate defined as the total household energy expenditures for...

484

FY 2006 Annual Progress Report for Advanced Vehicle Technology Analysis and Evaluation Activities  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AdvAnced vehicle Technology AdvAnced vehicle Technology AnAlysis And evAluATion AcTiviTies U.S. Department of Energy FreedomCAR and Vehicle Technologies Program 1000 Independence Avenue, S.W. Washington, DC 20585-0121 FY 2006 Annual Progress Report for Advanced Vehicle Technology Analysis and Evaluation Activities Submitted to: U.S. Department of Energy Energy Efficiency and Renewable Energy FreedomCAR and Vehicle Technologies Program Advanced Vehicle Technology Analysis and Evaluation Lee Slezak, Technology Manager Advanced Vehicle Technology Analysis and Evaluation Activities FY 2006 Annual Report CONTENTS I. INTRODUCTION............................................................................................................................ 1 II. MODELING AND SIMULATION ................................................................................................ 9

485

DOE Hydrogen Analysis Repository: Advanced Vehicle Cost and Energy-use  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Advanced Vehicle Cost and Energy-use Model (AVCEM) Advanced Vehicle Cost and Energy-use Model (AVCEM) Project Summary Full Title: Advanced Vehicle Cost and Energy-use Model (AVCEM) Project ID: 123 Principal Investigator: Mark Delucchi Brief Description: AVCEM is an electric and gasoline vehicle energy-use and lifetime-cost model. AVCEM designs a motor vehicle to meet range and performance requirements specified by the modeler, and then calculates the initial retail cost and total private and social lifetime cost of the designed vehicle. Purpose AVCEM designs a motor vehicle to meet range and performance requirements specified by the modeler, and then calculates the initial retail cost and total private and social lifetime cost of the designed vehicle. It can be used to investigate the relationship between the lifetime cost -- the total

486

Gas Mileage of 2012 Vehicles by Dodge  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

2 Dodge Vehicles 2 Dodge Vehicles EPA MPG MODEL City Comb Hwy 2012 Dodge Avenger 4 cyl, 2.4 L, Automatic 4-spd, Regular Gasoline Compare 2012 Dodge Avenger View MPG Estimates Shared By Vehicle Owners 21 City 24 Combined 30 Highway 2012 Dodge Avenger 4 cyl, 2.4 L, Automatic 6-spd, Regular Gasoline Compare 2012 Dodge Avenger View MPG Estimates Shared By Vehicle Owners 20 City 24 Combined 31 Highway 2012 Dodge Avenger 6 cyl, 3.6 L, Automatic 6-spd, Regular Gas or E85 Compare 2012 Dodge Avenger Gas 19 City 22 Combined 29 Highway E85 14 City 16 Combined 21 Highway 2012 Dodge Caliber 4 cyl, 2.0 L, Automatic (variable gear ratios), Regular Gasoline Compare 2012 Dodge Caliber 23 City 24 Combined 27 Highway 2012 Dodge Caliber 4 cyl, 2.0 L, Manual 5-spd, Regular Gasoline Compare 2012 Dodge Caliber 24

487

Gas Mileage of 2000 Vehicles by Ford  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

2000 Ford Vehicles 2000 Ford Vehicles EPA MPG MODEL City Comb Hwy 2000 Ford Contour 4 cyl, 2.0 L, Automatic 4-spd, Regular Gasoline Compare 2000 Ford Contour View MPG Estimates Shared By Vehicle Owners 19 City 23 Combined 28 Highway 2000 Ford Contour 4 cyl, 2.0 L, Manual 5-spd, Regular Gasoline Compare 2000 Ford Contour 21 City 25 Combined 31 Highway 2000 Ford Contour 6 cyl, 2.5 L, Automatic 4-spd, Regular Gasoline Compare 2000 Ford Contour 18 City 21 Combined 26 Highway 2000 Ford Contour 6 cyl, 2.5 L, Manual 5-spd, Regular Gasoline Compare 2000 Ford Contour 18 City 21 Combined 27 Highway 2000 Ford Crown Victoria 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 2000 Ford Crown Victoria View MPG Estimates Shared By Vehicle Owners 16 City 18 Combined 23 Highway 2000 Ford Crown Victoria CNG 8 cyl, 4.6 L, Automatic 4-spd, CNG

488

Gas Mileage of 2002 Vehicles by Mercury  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

2 Mercury Vehicles 2 Mercury Vehicles EPA MPG MODEL City Comb Hwy 2002 Mercury Cougar 4 cyl, 2.0 L, Manual 5-spd, Regular Gasoline Compare 2002 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 21 City 24 Combined 31 Highway 2002 Mercury Cougar 6 cyl, 2.5 L, Automatic 4-spd, Regular Gasoline Compare 2002 Mercury Cougar 18 City 21 Combined 26 Highway 2002 Mercury Cougar 6 cyl, 2.5 L, Manual 5-spd, Regular Gasoline Compare 2002 Mercury Cougar 18 City 21 Combined 27 Highway 2002 Mercury Grand Marquis 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 2002 Mercury Grand Marquis View MPG Estimates Shared By Vehicle Owners 15 City 18 Combined 23 Highway 2002 Mercury Mountaineer 2WD 6 cyl, 4.0 L, Automatic 5-spd, Regular Gasoline Compare 2002 Mercury Mountaineer 2WD 14 City

489

Gas Mileage of 1999 Vehicles by Dodge  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1999 Dodge Vehicles 1999 Dodge Vehicles EPA MPG MODEL City Comb Hwy 1999 Dodge Avenger 4 cyl, 2.0 L, Automatic 4-spd, Regular Gasoline Compare 1999 Dodge Avenger 19 City 22 Combined 27 Highway 1999 Dodge Avenger 4 cyl, 2.0 L, Manual 5-spd, Regular Gasoline Compare 1999 Dodge Avenger 19 City 23 Combined 29 Highway 1999 Dodge Avenger 6 cyl, 2.5 L, Automatic 4-spd, Regular Gasoline Compare 1999 Dodge Avenger View MPG Estimates Shared By Vehicle Owners 17 City 20 Combined 25 Highway 1999 Dodge B1500 Van 2WD 6 cyl, 3.9 L, Automatic 3-spd, Regular Gasoline Compare 1999 Dodge B1500 Van 2WD 14 City 15 Combined 16 Highway 1999 Dodge B1500 Van 2WD 8 cyl, 5.2 L, Automatic 4-spd, Regular Gasoline Compare 1999 Dodge B1500 Van 2WD View MPG Estimates Shared By Vehicle Owners 12 City 14 Combined 18

490

Gas Mileage of 1991 Vehicles by Mercury  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1 Mercury Vehicles 1 Mercury Vehicles EPA MPG MODEL City Comb Hwy 1991 Mercury Capri 4 cyl, 1.6 L, Automatic 4-spd, Regular Gasoline Compare 1991 Mercury Capri 21 City 22 Combined 24 Highway 1991 Mercury Capri 4 cyl, 1.6 L, Manual 5-spd, Regular Gasoline Compare 1991 Mercury Capri View MPG Estimates Shared By Vehicle Owners 21 City 23 Combined 26 Highway 1991 Mercury Capri 4 cyl, 1.6 L, Manual 5-spd, Regular Gasoline Compare 1991 Mercury Capri 22 City 24 Combined 28 Highway 1991 Mercury Cougar 6 cyl, 3.8 L, Automatic 4-spd, Regular Gasoline Compare 1991 Mercury Cougar 17 City 20 Combined 24 Highway 1991 Mercury Cougar 8 cyl, 5.0 L, Automatic 4-spd, Regular Gasoline Compare 1991 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 16 City 18 Combined 22 Highway 1991 Mercury Grand Marquis 8 cyl, 5.0 L, Automatic 4-spd, Regular Gasoline

491

Gas Mileage of 1989 Vehicles by Mercury  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

9 Mercury Vehicles 9 Mercury Vehicles EPA MPG MODEL City Comb Hwy 1989 Mercury Cougar 6 cyl, 3.8 L, Automatic 4-spd, Regular Gasoline Compare 1989 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 17 City 20 Combined 25 Highway 1989 Mercury Cougar 6 cyl, 3.8 L, Automatic 4-spd, Premium Gasoline Compare 1989 Mercury Cougar 15 City 17 Combined 21 Highway 1989 Mercury Cougar 6 cyl, 3.8 L, Manual 5-spd, Premium Gasoline Compare 1989 Mercury Cougar 15 City 18 Combined 22 Highway 1989 Mercury Grand Marquis 8 cyl, 5.0 L, Automatic 4-spd, Regular Gasoline Compare 1989 Mercury Grand Marquis View MPG Estimates Shared By Vehicle Owners 15 City 18 Combined 22 Highway 1989 Mercury Grand Marquis Wagon 8 cyl, 5.0 L, Automatic 4-spd, Regular Gasoline Compare 1989 Mercury Grand Marquis Wagon 15

492

Gas Mileage of 2003 Vehicles by Ford  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Ford Vehicles 3 Ford Vehicles EPA MPG MODEL City Comb Hwy 2003 Ford Crown Victoria 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 2003 Ford Crown Victoria View MPG Estimates Shared By Vehicle Owners 16 City 18 Combined 23 Highway 2003 Ford Crown Victoria CNG 8 cyl, 4.6 L, Automatic 4-spd, CNG Compare 2003 Ford Crown Victoria CNG 12 City 14 Combined 17 Highway 2003 Ford Crown Victoria Police 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 2003 Ford Crown Victoria Police View MPG Estimates Shared By Vehicle Owners 14 City 16 Combined 20 Highway 2003 Ford E150 Club Wagon 6 cyl, 4.2 L, Automatic 4-spd, Regular Gasoline Compare 2003 Ford E150 Club Wagon 12 City 14 Combined 16 Highway 2003 Ford E150 Club Wagon 8 cyl, 4.6 L, Automatic 4-spd, Regular Gasoline Compare 2003 Ford E150 Club Wagon 13

493

Gas Mileage of 1995 Vehicles by Ford  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5 Ford Vehicles 5 Ford Vehicles EPA MPG MODEL City Comb Hwy 1995 Ford Aerostar Van 6 cyl, 3.0 L, Automatic 4-spd, Regular Gasoline Compare 1995 Ford Aerostar Van 16 City 18 Combined 22 Highway 1995 Ford Aerostar Wagon 6 cyl, 3.0 L, Automatic 4-spd, Regular Gasoline Compare 1995 Ford Aerostar Wagon 15 City 18 Combined 22 Highway 1995 Ford Aerostar Wagon 6 cyl, 4.0 L, Automatic 4-spd, Regular Gasoline Compare 1995 Ford Aerostar Wagon View MPG Estimates Shared By Vehicle Owners 15 City 17 Combined 20 Highway 1995 Ford Aerostar Wagon AWD 6 cyl, 4.0 L, Automatic 4-spd, Regular Gasoline Compare 1995 Ford Aerostar Wagon AWD View MPG Estimates Shared By Vehicle Owners 14 City 15 Combined 18 Highway 1995 Ford Aspire 4 cyl, 1.3 L, Automatic 3-spd, Regular Gasoline Compare 1995 Ford Aspire

494

Gas Mileage of 1986 Vehicles by Pontiac  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

6 Pontiac Vehicles 6 Pontiac Vehicles EPA MPG MODEL City Comb Hwy 1986 Pontiac 1000 4 cyl, 1.6 L, Automatic 3-spd, Regular Gasoline Compare 1986 Pontiac 1000 22 City 24 Combined 28 Highway 1986 Pontiac 1000 4 cyl, 1.6 L, Manual 4-spd, Regular Gasoline Compare 1986 Pontiac 1000 View MPG Estimates Shared By Vehicle Owners 24 City 27 Combined 31 Highway 1986 Pontiac 1000 4 cyl, 1.6 L, Manual 5-spd, Regular Gasoline Compare 1986 Pontiac 1000 23 City 26 Combined 31 Highway 1986 Pontiac 6000 4 cyl, 2.5 L, Automatic 3-spd, Regular Gasoline Compare 1986 Pontiac 6000 View MPG Estimates Shared By Vehicle Owners 19 City 23 Combined 29 Highway 1986 Pontiac 6000 6 cyl, 2.8 L, Automatic 3-spd, Regular Gasoline Compare 1986 Pontiac 6000 17 City 19 Combined 24 Highway 1986 Pontiac 6000 6 cyl, 2.8 L, Automatic 4-spd, Regular Gasoline

495

Gas Mileage of 2011 Vehicles by Dodge  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1 Dodge Vehicles 1 Dodge Vehicles EPA MPG MODEL City Comb Hwy 2011 Dodge Avenger 4 cyl, 2.4 L, Automatic 4-spd, Regular Gasoline Compare 2011 Dodge Avenger View MPG Estimates Shared By Vehicle Owners 21 City 24 Combined 30 Highway 2011 Dodge Avenger 4 cyl, 2.4 L, Automatic 6-spd, Regular Gasoline Compare 2011 Dodge Avenger 20 City 24 Combined 31 Highway 2011 Dodge Avenger 6 cyl, 3.6 L, Automatic 6-spd, Regular Gas or E85 Compare 2011 Dodge Avenger View MPG Estimates Shared By Vehicle Owners Gas 19 City 22 Combined 29 Highway E85 14 City 16 Combined 21 Highway 2011 Dodge Caliber 4 cyl, 2.0 L, Automatic (variable gear ratios), Regular Gasoline Compare 2011 Dodge Caliber 23 City 24 Combined 27 Highway 2011 Dodge Caliber 4 cyl, 2.4 L, Automatic (variable gear ratios), Regular Gasoline

496

Gas Mileage of 1997 Vehicles by Ford  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

7 Ford Vehicles 7 Ford Vehicles EPA MPG MODEL City Comb Hwy 1997 Ford Aerostar Van 6 cyl, 3.0 L, Automatic 4-spd, Regular Gasoline Compare 1997 Ford Aerostar Van 15 City 17 Combined 21 Highway 1997 Ford Aerostar Wagon 6 cyl, 3.0 L, Automatic 4-spd, Regular Gasoline Compare 1997 Ford Aerostar Wagon 15 City 17 Combined 22 Highway 1997 Ford Aerostar Wagon 6 cyl, 4.0 L, Automatic 5-spd, Regular Gasoline Compare 1997 Ford Aerostar Wagon View MPG Estimates Shared By Vehicle Owners 15 City 17 Combined 20 Highway 1997 Ford Aerostar Wagon AWD 6 cyl, 4.0 L, Automatic 5-spd, Regular Gasoline Compare 1997 Ford Aerostar Wagon AWD 13 City 15 Combined 17 Highway 1997 Ford Aspire 4 cyl, 1.3 L, Automatic 3-spd, Regular Gasoline Compare 1997 Ford Aspire View MPG Estimates Shared By Vehicle Owners

497

Gas Mileage of 2013 Vehicles by Chevrolet  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Chevrolet Vehicles 3 Chevrolet Vehicles EPA MPG MODEL City Comb Hwy 2013 Chevrolet Avalanche 1500 2WD 8 cyl, 5.3 L, Automatic 6-spd, Regular Gas or E85 Compare 2013 Chevrolet Avalanche 1500 2WD Gas 15 City 17 Combined 21 Highway E85 11 City 13 Combined 16 Highway 2013 Chevrolet Avalanche 1500 4WD 8 cyl, 5.3 L, Automatic 6-spd, Regular Gas or E85 Compare 2013 Chevrolet Avalanche 1500 4WD View MPG Estimates Shared By Vehicle Owners Gas 15 City 17 Combined 21 Highway E85 11 City 13 Combined 16 Highway 2013 Chevrolet Camaro 8 cyl, 6.2 L, Manual 6-spd, Premium Gasoline Compare 2013 Chevrolet Camaro View MPG Estimates Shared By Vehicle Owners 14 City 16 Combined 19 Highway 2013 Chevrolet Camaro 8 cyl, 6.2 L, Automatic (S6), Premium Gasoline Compare 2013 Chevrolet Camaro 12 City 14 Combined 18

498

Gas Mileage of 1995 Vehicles by Chevrolet  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5 Chevrolet Vehicles 5 Chevrolet Vehicles EPA MPG MODEL City Comb Hwy 1995 Chevrolet Astro 2WD (cargo) 6 cyl, 4.3 L, Automatic 4-spd, Premium Gasoline Compare 1995 Chevrolet Astro 2WD (cargo) View MPG Estimates Shared By Vehicle Owners 15 City 17 Combined 20 Highway 1995 Chevrolet Astro 2WD (passenger) 6 cyl, 4.3 L, Automatic 4-spd, Premium Gasoline Compare 1995 Chevrolet Astro 2WD (passenger) View MPG Estimates Shared By Vehicle Owners 15 City 16 Combined 19 Highway 1995 Chevrolet Astro AWD (cargo) 6 cyl, 4.3 L, Automatic 4-spd, Premium Gasoline Compare 1995 Chevrolet Astro AWD (cargo) 15 City 16 Combined 20 Highway 1995 Chevrolet Astro AWD (passenger) 6 cyl, 4.3 L, Automatic 4-spd, Premium Gasoline Compare 1995 Chevrolet Astro AWD (passenger) 14 City 15 Combined 17 Highway 1995 Chevrolet Beretta 4 cyl, 2.2 L, Manual 5-spd, Regular Gasoline

499

Gas Mileage of 1987 Vehicles by Mercury  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

7 Mercury Vehicles 7 Mercury Vehicles EPA MPG MODEL City Comb Hwy 1987 Mercury Cougar 6 cyl, 3.8 L, Automatic 4-spd, Regular Gasoline Compare 1987 Mercury Cougar 17 City 19 Combined 24 Highway 1987 Mercury Cougar 8 cyl, 5.0 L, Automatic 4-spd, Regular Gasoline Compare 1987 Mercury Cougar View MPG Estimates Shared By Vehicle Owners 16 City 19 Combined 24 Highway 1987 Mercury Grand Marquis 8 cyl, 5.0 L, Automatic 4-spd, Regular Gasoline Compare 1987 Mercury Grand Marquis View MPG Estimates Shared By Vehicle Owners 16 City 19 Combined 24 Highway 1987 Mercury Grand Marquis Wagon 8 cyl, 5.0 L, Automatic 4-spd, Regular Gasoline Compare 1987 Mercury Grand Marquis Wagon 16 City 19 Combined 24 Highway 1987 Mercury Lynx 4 cyl, 1.9 L, Automatic 3-spd, Regular Gasoline Compare 1987 Mercury Lynx 23

500

Gas Mileage of 2010 Vehicles by Dodge  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

10 Dodge Vehicles 10 Dodge Vehicles EPA MPG MODEL City Comb Hwy 2010 Dodge Avenger 4 cyl, 2.4 L, Automatic 4-spd, Regular Gasoline Compare 2010 Dodge Avenger View MPG Estimates Shared By Vehicle Owners 21 City 24 Combined 30 Highway 2010 Dodge Avenger 6 cyl, 3.5 L, Automatic 6-spd, Regular Gasoline Compare 2010 Dodge Avenger 16 City 20 Combined 27 Highway 2010 Dodge Avenger 6 cyl, 2.7 L, Automatic 4-spd, Regular Gas or E85 Compare 2010 Dodge Avenger Gas 19 City 22 Combined 27 Highway E85 14 City 16 Combined 20 Highway 2010 Dodge Caliber 4 cyl, 2.0 L, Manual 5-spd, Regular Gasoline Compare 2010 Dodge Caliber View MPG Estimates Shared By Vehicle Owners 23 City 26 Combined 31 Highway 2010 Dodge Caliber 4 cyl, 2.0 L, Automatic (variable gear ratios), Regular Gasoline Compare 2010 Dodge Caliber