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While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
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1

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

2

Model Year 2006: Alternative Fuel and Advanced Technology Vehicles  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program PreliminaryA3,0StatementsMixing Up aSTANDARDS OF CONDUCTYear

3

Table 5.5. U.S. Vehicle Fuel Efficiency by Model Year, 1994  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic4,630.2 10,037.24. U.S. Vehicle Fuel7. U.S.8....

4

Table 5.6. U.S. Average Vehicle Fuel Consumption by Model Year, 1994  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic4,630.2 10,037.24. U.S. Vehicle Fuel7.

5

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

6

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPCofConstructionofFY 20112:of EnergyLast FiveConsider

7

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPCofConstructionofFY 20112:ofElectric1975-2012 | Department of

8

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

9

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

10

Characteristics RSE Column Factor: All Model Years Model Year  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles by Model Year,

11

Improving efficiency of a vehicle HVAC system with comfort modeling...  

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

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

12

Modelling and control strategy development for fuel cell electric vehicles  

E-Print Network [OSTI]

Modelling and control strategy development for fuel cell electric vehicles Andreas Schell b , Huei applicable to the development of fuel cell electric vehicles (FCEVs) and hybrid electric vehicles (HEVs reserved. Keywords: Fuel cell electric vehicle; Hybrid vehicles; Modelling 1. Introduction Advanced

Peng, Huei

13

A Statistical Model of Vehicle Emissions and Fuel Consumption  

E-Print Network [OSTI]

A number of vehicle emission models are overly simple, such as static speed-dependent models widely used in

Cappiello, Alessandra

2002-09-17T23:59:59.000Z

14

In-Vehicle Testing and Computer Modeling of Electric Vehicle Batteries  

E-Print Network [OSTI]

-extending series hybrid electric vehicle (HEV) by the student members of the Society of Automotive Engineers (SAEIn-Vehicle Testing and Computer Modeling of Electric Vehicle Batteries B. Thomas, W.B. Gu, J driving conditions as opposed to purely experimental testing. The new approach is cost- effective, greatly

Wang, Chao-Yang

15

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

16

Data Needs for Evolving Motor Vehicle Emission Modeling Approaches  

E-Print Network [OSTI]

model was originally developed by the TransportationSystems Center of the USDepartment Transportationto support vehicle of energy

Guensler, Randall

1993-01-01T23:59:59.000Z

17

Vehicle technologies program Government Performance and Results Act (GPA) report for fiscal year 2012  

SciTech Connect (OSTI)

The U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy has defined milestones for its Vehicle Technologies Program (VTP). This report provides estimates of the benefits that would accrue from achieving these milestones relative to a base case that represents a future in which there is no VTP-supported vehicle technology development. Improvements in the fuel economy and reductions in the cost of light- and heavy-duty vehicles were estimated by using Argonne National Laboratory's Autonomie powertrain simulation software and doing some additional analysis. Argonne also estimated the fraction of the fuel economy improvements that were attributable to VTP-supported development in four 'subsystem' technology areas: batteries and electric drives, advanced combustion engines, fuels and lubricants, and materials (i.e., reducing vehicle mass, called 'lightweighting'). Oak Ridge National Laboratory's MA{sup 3}T (Market Acceptance of Advanced Automotive Technologies) tool was used to project the market penetration of light-duty vehicles, and TA Engineering's TRUCK tool was used to project the penetrations of medium- and heavy-duty trucks. Argonne's VISION transportation energy accounting model was used to estimate total fuel savings, reductions in primary energy consumption, and reductions in greenhouse gas emissions that would result from achieving VTP milestones. These projections indicate that by 2030, the on-road fuel economy of both light- and heavy-duty vehicles would improve by more than 20%, and that this positive impact would be accompanied by a reduction in oil consumption of nearly 2 million barrels per day and a reduction in greenhouse gas emissions of more than 300 million metric tons of CO{sub 2} equivalent per year. These benefits would have a significant economic value in the U.S. transportation sector and reduce its dependency on oil and its vulnerability to oil price shocks.

Ward, J.; Stephens, T. S.; Birky, A. K. (Energy Systems); (DOE-EERE); (TA Engineering)

2012-08-10T23:59:59.000Z

18

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"

19

Predicting Vehicle Crashworthiness: Validation of Computer Models for  

E-Print Network [OSTI]

Predicting Vehicle Crashworthiness: Validation of Computer Models for Functional and Hierarchical. Cafeo, Chin-Hsu Lin, and Jian Tu Abstract The CRASH computer model simulates the effect of a vehicle colliding against different barrier types. If it accurately represents real vehicle crash- worthiness

Berger, Jim

20

Modelling, Simulation, Testing, and Optimization of Advanced Hybrid Vehicle Powertrains  

E-Print Network [OSTI]

Modelling, Simulation, Testing, and Optimization of Advanced Hybrid Vehicle Powertrains By Jeffrey of the author. #12;ii Modelling, Simulation, Testing and Optimization of Advanced Hybrid Vehicle Powertrains prototypes. A comprehensive survey of the state of the art of commercialized hybrid vehicle powertrains

Victoria, University of

Note: This page contains sample records for the topic "vehicles model years" 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

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.

22

Model Based Vehicle Tracking for Autonomous Driving in Urban Environments  

E-Print Network [OSTI]

Model Based Vehicle Tracking for Autonomous Driving in Urban Environments Anna Petrovskaya environments. This paper describes moving vehicle tracking module that we developed for our autonomous driving in this area. DARPA has organized a series of competitions for autonomous vehicles. In 2005, autonomous

23

Vehicle Trajectory Prediction based on Motion Model and Maneuver Recognition  

E-Print Network [OSTI]

Vehicle Trajectory Prediction based on Motion Model and Maneuver Recognition Adam Houenou, Philippe is a crucial task for an autonomous vehicle, in order to avoid collisions on its planned trajectory. It is also necessary for many Advanced Driver Assistance Systems, where the ego- vehicle's trajectory has

Paris-Sud XI, Université de

24

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

25

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

26

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

Energy Savers [EERE]

More Documents & Publications GREET Development and Applications for Life-Cycle Analysis of VehicleFuel Systems Fuel-Cycle Energy and Emissions Analysis with the GREET Model...

27

VEHICLE USE RECORD M/Y DEPARTMENT VEHICLE LOCATION  

E-Print Network [OSTI]

VEHICLE USE RECORD M/Y DEPARTMENT VEHICLE LOCATION Date Origin/Destination Purpose Time Out Time) Accuracy of Information (b) Valid Driver's License VEHICLE # TAG # VEHICLE MAKE, MODEL, AND YEAR NOTE: Vehicle logs must be maintained for audit purposes. It is important that all of the required information

Watson, Craig A.

28

Model systems This year's model  

E-Print Network [OSTI]

@biochem.wisc.edu RTR received ScB degrees in chemistry and biology from the Massachusetts Institute of Technology that initially inspired the chemical simplification. In such cases, the later stages of model studies can seem

Raines, Ronald T.

29

Business models for sustainable technologies: Exploring business model evolution in the case of electric vehicles  

E-Print Network [OSTI]

of electric vehicles René Bohnsacka , Jonatan Pinkseb , & Ans Kolka a University of Amsterdam Business School in the case of electric vehicles Abstract Sustainable technologies challenge prevailing business practices models for electric vehicles. Based on a qualitative analysis of electric vehicle projects of key

Paris-Sud XI, Université de

30

Table 2. Percent of Households with Vehicles, Selected Survey Years  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998Hampshire"RhodeWestThousand CubicYear Jan Feb92 207After LeaseLease0 0

31

Figure 2. Energy Consumption of Vehicles, Selected Survey Years  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003ofDec. 31 705

32

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

33

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

34

Development and applications of GREET 2.7 -- The Transportation Vehicle-CycleModel.  

SciTech Connect (OSTI)

Argonne National Laboratory has developed a vehicle-cycle module for the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model. The fuel-cycle GREET model has been cited extensively and contains data on fuel cycles and vehicle operations. The vehicle-cycle model evaluates the energy and emission effects associated with vehicle material recovery and production, vehicle component fabrication, vehicle assembly, and vehicle disposal/recycling. With the addition of the vehicle-cycle module, the GREET model now provides a comprehensive, lifecycle-based approach to compare the energy use and emissions of conventional and advanced vehicle technologies (e.g., hybrid electric vehicles and fuel cell vehicles). This report details the development and application of the GREET 2.7 model. The current model includes six vehicles--a conventional material and a lightweight material version of a mid-size passenger car with the following powertrain systems: internal combustion engine, internal combustion engine with hybrid configuration, and fuel cell with hybrid configuration. The model calculates the energy use and emissions that are required for vehicle component production; battery production; fluid production and use; and vehicle assembly, disposal, and recycling. This report also presents vehicle-cycle modeling results. In order to put these results in a broad perspective, the fuel-cycle model (GREET 1.7) was used in conjunction with the vehicle-cycle model (GREET 2.7) to estimate total energy-cycle results.

Burnham, A.; Wang, M. Q.; Wu, Y.

2006-12-20T23:59:59.000Z

35

Electric and Hybrid Vehicles Program 18th annual report to Congress for Fiscal Year 1994  

SciTech Connect (OSTI)

The Department remains focused on the technologies that are critical to making electric and hybrid vehicles commercially viable and competitive with current production gasoline-fueled vehicles in performance, reliability, and affordability. During Fiscal Year 1994, significant progress was made toward fulfilling the intent of Congress. The Department and the United States Advanced Battery Consortium (a partnership of the three major domestic automobile manufacturers) continued to work together and to focus the efforts of battery developers on the battery technologies that are most likely to be commercialized in the near term. Progress was made in industry cost-shared contracts toward demonstrating the technical feasibility of fuel cells for passenger bus and light duty vehicle applications. Two industry teams which will develop hybrid vehicle propulsion technologies have been selected through competitive procurement and have initiated work, in Fiscal Year 1994. In addition, technical studies and program planning continue, as required by the Energy Policy Act of 1992, to achieve the goals of reducing the transportation sector dependence on imported oil, reducing the level of environmentally harmful emissions, and enhancing industrial productivity and competitiveness.

NONE

1995-04-01T23:59:59.000Z

36

Modeling radio communication blackout and blackout mitigation in hypersonic vehicles  

E-Print Network [OSTI]

A procedure for the modeling and analysis of radio communication blackout of hypersonic vehicles is presented. A weakly ionized plasma generated around the surface of a hypersonic reentry vehicle traveling at Mach 23 was simulated using full Navier-Stokes equations in multi-species single fluid form. A seven species air chemistry model is used to compute the individual species densities in air including ionization - plasma densities are compared with experiment. The electromagnetic wave's interaction with the plasma layer is modeled using multi-fluid equations for fluid transport and full Maxwell's equations for the electromagnetic fields. The multi-fluid solver is verified for a whistler wave propagating through a slab. First principles radio communication blackout over a hypersonic vehicle is demonstrated along with a simple blackout mitigation scheme using a magnetic window.

Kundrapu, Madhusudhan; Beckwith, Kristian; Stoltz, Peter; Shashurin, Alexey; Keidar, Michael

2014-01-01T23:59:59.000Z

37

Electric Vehicle Site Operator Program. Year 1 third quarter report, January 1, 1992--March 31, 1992  

SciTech Connect (OSTI)

Kansas State University, with funding support from federal, state, public, and private companies, is participating in the Department of Energy`s Electric Vehicle Site Operator Program. Through participation is this program, Kansas State is demonstrating, testing, and evaluating electric or hybrid vehicle technology. This participation will provide organizations the opportunity to examine the latest EHV prototypes under actual operating conditions. KSU proposes to purchase one (1) electric or hybrid van and four (4) electric cars during the first two years of this five year program. KSU has purchased one G-Van built by Conceptor Industries, Toronto, Canada and has initiated a procurement order to purchase two (2) Soleq 1992 Ford EVcort stationwagons.

Not Available

1992-06-01T23:59:59.000Z

38

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...

39

Fact #764: January 28, 2013 Model Year 2013 Brings More Fuel...  

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

24 0 Two-Seater Cars 36 36 0 Sport Utility Vehicles 32 30 -2 Sources: U.S. Department of Energy and U.S. Environmental Protection Agency, Model Year 2008 Fuel Economy Guide. U.S....

40

Analysis, Modeling and Neural Network Traction Control of an Electric Vehicle  

E-Print Network [OSTI]

Analysis, Modeling and Neural Network Traction Control of an Electric Vehicle without Differential Terms--Electric vehicle, electric motor, speed estimation, neural networks, traction control. I. INTRODUCTION Recently, Electric Vehicles (EVs) including fuel-cell and hybrid vehicles have been developed very

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "vehicles model years" 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

DEVELOPMENT AND APPLICATION OF A NETWORK-BASED SHARED AUTOMATED VEHICLE MODEL IN AUSTIN, TEXAS  

E-Print Network [OSTI]

DEVELOPMENT AND APPLICATION OF A NETWORK-BASED SHARED AUTOMATED VEHICLE MODEL IN AUSTIN, TEXAS automated vehicle (SAV), combining features of short term rentals with the vehicles' powerful automated self. INTRODUCTION Vehicle automation appears poised to revolutionize the way in which we interface

Kockelman, Kara M.

42

Sandia National Laboratories: systems modeling for vehicles  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbineredox-activeNational Solar

43

Model year 2010 Honda insight level-1 testing report.  

SciTech Connect (OSTI)

As a part of the US Department of Energy's Advanced Vehicle Testing Activity (AVTA), a model year 2010 Honda Insight was procured by eTec (Phoenix, AZ) and sent to ANL's Advanced Powertrain Research Facility for the purposes of vehicle-level testing in support of the Advanced Vehicle Testing Activity (AVTA). Data was acquired during testing using non-intrusive sensors, vehicle network information, and facilities equipment (emissions and dynamometer data). Standard drive cycles, performance cycles, steady-state cycles and A/C usage cycles were tested. Much of this data is openly available for download in ANL's Downloadable Dynamometer Database (D3). The major results are shown here in this report. Given the preliminary nature of this assessment, the majority of the testing was done over standard regulatory cycles and seeks to obtain a general overview of how the vehicle performs. These cycles include the US FTP cycle (Urban) and Highway Fuel Economy Test cycle as well as the US06, a more aggressive supplemental regulatory cycle. Data collection for this testing was kept at a fairly high level and includes emissions and fuel measurements from an exhaust emissions bench, high-voltage and accessory current and voltage from a DC power analyzer, and CAN bus data such as engine speed, engine load, and electric machine operation when available. The following sections will seek to explain some of the basic operating characteristics of the MY2010 Insight and provide insight into unique features of its operation and design.

Rask, E.; Bocci, D.; Duoba, M.; Lohse-Busch, H. (Energy Systems)

2011-03-22T23:59:59.000Z

44

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

45

Modeling of Plug-in Electric Vehicles Interactions with a Sustainable Community Grid in the Azores  

E-Print Network [OSTI]

Distributed Generation, Plug-in Electric Vehicles (PEVs), Energy Management, Multi-Building Modeling and Simulation Introduction The Green Islands

Mendes, Goncalo

2013-01-01T23:59:59.000Z

46

Vehicle Modeling and Simulation | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment of EnergyProgram2-26TheUtility-Scaleof Energy

47

Vehicle Longitudinal Motion Modeling for nonlinear control K. El Majdoub c  

E-Print Network [OSTI]

1 Vehicle Longitudinal Motion Modeling for nonlinear control K. El Majdoub c , F. Giri a,* , H Abstract-- The problem of modeling and controlling vehicle longitudinal motion is addressed for front wheel propelled vehicles. The chassis dynamics are modeled using relevant fundamental laws taking into account

Paris-Sud XI, Université de

48

Alternative fuel vehicles for the state fleets: Results of the 5-year planning process  

SciTech Connect (OSTI)

This report documents the first attempt by the Department of Energy (DOE) to work with states to prepare five-year Alternative Fuel Vehicle (AFV) acquisition plans to identify alternative fuels and vehicles that they are planning on or would like to acquire. The DOE Regional Support Offices (RSOs) met with representatives from the states in their regions and assisted in the preparation of the plans. These plans will be used in conjunction with previously gathered Federal five-year plans to encourage Original Equipment Manufacturers (OEMs) to expand the variety of AFVs produced, reduce the incremental cost of AFVs, and to encourage fuel suppliers to expand the alternative fuel infrastructure and alternative fuel availability. By identifying the needs and requirements of state fleets, DOE can begin to describe the specific nature of the future state fleets, and establish a defined market for OEMs and fuel suppliers. DOE initiated the development and collection of the state five-year plans before the signing of the Energy Policy Act, to raise the awareness of states that they will be required by law to acquire AFVs. As a result, several states that had no AFV acquisition plan when queried have developed or are in the process of developing plans. The DOE and its RSOs are still working with the states to develop and refine acquisition plans, and this report should be treated as documentation of work in progress.

Not Available

1993-05-01T23:59:59.000Z

49

Vehicle Model Validation | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of EnergyTheTwoVulnerabilities | DepartmentReactive Barrierof|Model

50

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

1981-01-01T23:59:59.000Z

51

Online Center of Gravity Estimation in Automotive Vehicles using Multiple Models and Switching  

E-Print Network [OSTI]

Online Center of Gravity Estimation in Automotive Vehicles using Multiple Models and Switching and switching for realtime estimation of center of gravity (CG) position in automotive vehicles. The method utilizes simple linear vehicle models and assumes availability of standard stock automotive sensors. We

Duffy, Ken

52

Probabilistic Modelling of Plug-in Hybrid Electric Vehicle Impacts on Distribution Networks in  

E-Print Network [OSTI]

Probabilistic Modelling of Plug-in Hybrid Electric Vehicle Impacts on Distribution Networks Committee Probabilistic Modelling of Plug-in Hybrid Electric Vehicle Impacts on Distribution Networks) Departmental Member Plug-in hybrid electric vehicles (PHEVs) represent a promising future direction

Victoria, University of

53

Integration of Physical Models in the ORQA Framework for Electric Vehicle Energy Management  

E-Print Network [OSTI]

Integration of Physical Models in the ORQA Framework for Electric Vehicle Energy Management Borjan Brest, France ABSTRACT The energy management of electric vehicles is located in the storage system Systems]: Consumer Products--electric vehicle Keywords model driven architecture; energy consumption

Boyer, Edmond

54

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

55

THE TRAVEL AND ENVIRONMENTAL IMPLICATIONS OF SHARED AUTONOMOUS VEHICLES, USING AGENT-BASED MODEL SCENARIOS  

E-Print Network [OSTI]

1 THE TRAVEL AND ENVIRONMENTAL IMPLICATIONS OF SHARED AUTONOMOUS VEHICLES, USING AGENT-BASED MODEL an owned asset to a service used on demand. The advent of autonomous or fully self-driving vehicles describes the design of an agent-based model for Shared Autonomous Vehicle (SAV) operations, the results

Kockelman, Kara M.

56

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

Energy Savers [EERE]

support, is helping U.S. auto manufacturers develop the next generation of hybrid and electric vehicles. Hybrid and electric vehicles require sophisticated electric drive and...

57

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...

58

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...

59

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...

60

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

Note: This page contains sample records for the topic "vehicles model years" 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

Hybrid Modeling and Experimental Cooperative Control of Multiple Unmanned Aerial Vehicles  

E-Print Network [OSTI]

focused on single aerial vehicles. In particular, we have witnessed autonomous or aggressive control autonomous formation flying of autonomous aerial vehicles (UAVs) are [20]­[24]. In [22] and [23], the authorsHybrid Modeling and Experimental Cooperative Control of Multiple Unmanned Aerial Vehicles Selcuk

Fainekos, Georgios E.

62

Using Discrete-Event Simulation to Model Situational Awareness of Unmanned-Vehicle Operators  

E-Print Network [OSTI]

but delegated to the automation onboard the unmanned vehicles (Sheridan, 1992). Reduced workload afforded1 Using Discrete-Event Simulation to Model Situational Awareness of Unmanned-Vehicle Operators Carl vehicles becomes increasingly realizable, the impact on operator situational awareness of such a paradigm

Cummings, Mary "Missy"

63

An Ontology-based Model to Determine the Automation Level of an Automated Vehicle for  

E-Print Network [OSTI]

An Ontology-based Model to Determine the Automation Level of an Automated Vehicle for Co). In addition, an automated vehicle should also self-assess its own perception abilities, and not only perceive this idea, cybercars were designed as fully automated vehicles [3], thought since its inception as a new

Paris-Sud XI, Université de

64

TOWARDS SONAR BASED PERCEPTION AND MODELLING FOR UNMANNED UNTETHERED UNDERWATER VEHICLES  

E-Print Network [OSTI]

TOWARDS SONAR BASED PERCEPTION AND MODELLING FOR UNMANNED UNTETHERED UNDERWATER VEHICLES B. Steer will be of critical importance in the development of flexible, adaptive and useful unmanned underwater vehicles will be of critical importance in the de- velopment of flexible, adaptive and useful unmanned un- derwater vehicles

Garner, Philip N.

65

Renewable Fuel Vehicle Modeling and Analysis | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L dDepartmentnews-flashes OfficeTexasEnergyFuel Vehicle Modeling and

66

Vehicle Technologies Office: Multi-Year Program Plan 2011-2015...  

Energy Savers [EERE]

undertaken to help meet the Administrations goals for reductions in oil consumption and carbon emissions from the ground transport vehicle sector of the economy....

67

Updating and Enhancing the MA3T Vehicle Choice Model  

Broader source: Energy.gov [DOE]

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

68

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...

69

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...

70

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...

71

Tyre modelling for use in vehicle dynamics studies  

SciTech Connect (OSTI)

A new way of representing tyre data obtained from measurements in pure cornering and pure braking conditions has been developed in order to further improve the Dynamic Safety of vehicles. The method makes use of a formula with coefficients which describe some of the typifying quantities of a tyre, such as slip stiffnesses at zero slip and force and torque peak values. The formula is capable of describing the characteristics of side force, brake force and self aligning torque with great accuracy. This mathematical representation is limited to steady-state conditions during either pure cornering or pure braking and forms the basis for a model describing tyre behaviour during combined braking and cornering.

Bakker, E.; Nyborg, L.; Pacejka, H.B.

1987-01-01T23:59:59.000Z

72

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

73

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

Energy Savers [EERE]

FASTSim and ADOPT Presentation given by National Renewable Energy Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review...

74

Argonne's Michael Wang talks about the GREET Model for reducing vehicle emi  

SciTech Connect (OSTI)

To fully evaluate energy and emission impacts of advanced vehicle technologies and new transportation fuels, the fuel cycle from wells to wheels and the vehicle cycle through material recovery and vehicle disposal need to be considered. Sponsored by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE), Argonne has developed a full life-cycle model called GREET (Greenhouse gases, Regulated Emissions, and Energy use in Transportation). It allows researchers and analysts to evaluate various vehicle and fuel combinations on a full fuel-cycle/vehicle-cycle basis. The first version of GREET was released in 1996. Since then, Argonne has continued to update and expand the model. The most recent GREET versions are the GREET 1 2012 version for fuel-cycle analysis and GREET 2.7 version for vehicle-cycle analysis.

Michael Wang

2012-07-25T23:59:59.000Z

75

Argonne's Michael Wang talks about the GREET Model for reducing vehicle emi  

ScienceCinema (OSTI)

To fully evaluate energy and emission impacts of advanced vehicle technologies and new transportation fuels, the fuel cycle from wells to wheels and the vehicle cycle through material recovery and vehicle disposal need to be considered. Sponsored by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE), Argonne has developed a full life-cycle model called GREET (Greenhouse gases, Regulated Emissions, and Energy use in Transportation). It allows researchers and analysts to evaluate various vehicle and fuel combinations on a full fuel-cycle/vehicle-cycle basis. The first version of GREET was released in 1996. Since then, Argonne has continued to update and expand the model. The most recent GREET versions are the GREET 1 2012 version for fuel-cycle analysis and GREET 2.7 version for vehicle-cycle analysis.

Michael Wang

2013-06-05T23:59:59.000Z

76

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

77

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...

78

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

79

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 semi­automatic vehicles Marco Antoniottiz Akash Deshpandez Alain Giraultx marcoxa@path.berkeley.edu akash Abstract In this paper we present a protocol that controls semi­automated autonomous vehicles driving

Girault, Alain

80

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

Note: This page contains sample records for the topic "vehicles model years" 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

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

82

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

83

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...

84

Model-Based Analysis of Electric Drive Options for Medium-Duty Parcel Delivery Vehicles: Preprint  

SciTech Connect (OSTI)

Medium-duty vehicles are used in a broad array of fleet applications, including parcel delivery. These vehicles are excellent candidates for electric drive applications due to their transient-intensive duty cycles, operation in densely populated areas, and relatively high fuel consumption and emissions. The National Renewable Energy Laboratory (NREL) conducted a robust assessment of parcel delivery routes and completed a model-based techno-economic analysis of hybrid electric vehicle (HEV) and plug-in hybrid electric vehicle configurations. First, NREL characterized parcel delivery vehicle usage patterns, most notably daily distance driven and drive cycle intensity. Second, drive-cycle analysis results framed the selection of drive cycles used to test a parcel delivery HEV on a chassis dynamometer. Next, measured fuel consumption results were used to validate simulated fuel consumption values derived from a dynamic model of the parcel delivery vehicle. Finally, NREL swept a matrix of 120 component size, usage, and cost combinations to assess impacts on fuel consumption and vehicle cost. The results illustrated the dependency of component sizing on drive-cycle intensity and daily distance driven and may allow parcel delivery fleets to match the most appropriate electric drive vehicle to their fleet usage profile.

Barnitt, R. A.; Brooker, A. D.; Ramroth, L.

2010-12-01T23:59:59.000Z

85

Stochastic reduced-order model for an automotive vehicle in presence of numerous local elastic modes in the low-  

E-Print Network [OSTI]

Stochastic reduced-order model for an automotive vehicle in presence of numerous local elastic a high modal density in the low-frequency range, such as an automotive vehicle. This type of structure is applied on a complex computational model of an automotive vehicle. 1 INTRODUCTION This work is performed

Paris-Sud XI, Université de

86

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...

87

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

88

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

89

A comparative study of vibrational relaxation models for the aeroassisted orbital transfer vehicle flight regime  

E-Print Network [OSTI]

A COMPARATIVE STUDY OF VIBRATIONAL RELAXATION MODELS FOR AEROASSISTED ORBITAL TRANSFER VEHICLE FLIGHT REGIME A Thesis by DEREK SCOTI' GREEN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE May 1991 Major Subject: Aerospace Engineering A COMPARATIVE STUDY OF VIBRATIONAL RELAXATION MODELS FOR AEROASSISTED ORBITAL TRANSFER VEHICLE FLIGHT REGIME A Thesis by DEREK SCOTT GREEN Approved...

Green, Derek Scott

1991-01-01T23:59:59.000Z

90

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

E-Print Network [OSTI]

A COMPARATIVE STUDY OF VIBRATIONAL RELAXATION AND CHEMICAL REACTION MODELS FOR THE MARTIAN ENTRY VEHICLE A Thesis by RAJEEV KOTESHWAR Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE May 1992 Major Subject: Aerospace Engineering A COMPARATIVE STUDY OF VIBRATIONAL RELAXATION AND CHEMICAL REACTION MODELS FOR THE MARTIAN ENTRY VEHICLE A Thesis by RAJEEV KOTESHWAR Approved as to style...

Koteshwar, Rajeev

1992-01-01T23:59:59.000Z

91

Electric and Hybrid Vehicles Program. Seventeenth annual report to Congress for Fiscal Year 1993  

SciTech Connect (OSTI)

This program, in cooperation with industry, is conducting research, development, testing, and evaluation activities to develop the technologies that would lead to production and introduction of low-and zero-emission electric and hybrid vehicles into the Nation`s transportation fleet. This annual report describes program activities in the areas of advanced battery, fuel cell, and propulsion systems development. Testing and evaluation of new technology in fleet site operations and laboratories are also provided. Also presented is status on incentives (CAFE, 1992 Energy Policy Act) and use of foreign components, and a listing of publications by DOE, national laboratories, and contractors.

Not Available

1994-08-01T23:59:59.000Z

92

Energy Management for an Electric Vehicle Based on Combinatorial Modeling  

E-Print Network [OSTI]

energy sources (fuel cells, photovoltaic panels, batteries, supercapacitors) with different of the energy system The energy chain of the vehicle concerned is composed of a Fuel Cell System (FCS) using hydrogen as a fuel; its energy is produced from the chemical reaction of hydrogen and oxygen. FCS

Boyer, Edmond

93

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

94

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

95

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

96

Fact #800: October 21, 2013 Characteristics of New Light Vehicles...  

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

Time Fact 800: October 21, 2013 Characteristics of New Light Vehicles over Time From model years 1980 to 2012, there have been significant gains in automotive technology. For...

97

Toyota Gen III Prius Hybrid Electric Vehicle Accelerated Testing...  

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

HEV Accelerated Testing - September 2011 Two model year 2010 Toyota Generation III Prius hybrid electric vehicles (HEVs) entered Accelerated testing during July 2009 in a fleet in...

98

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

99

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

100

Modeling Electric Vehicle Benefits Connected to Smart Grids  

SciTech Connect (OSTI)

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.

Stadler, Michael; Marnay, Chris; Mendes, Goncalo; Kloess, Maximillian; Cardoso, Goncalo; Mégel, Olivier; Siddiqui, Afzal

2011-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "vehicles model years" 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

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

102

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

SciTech Connect (OSTI)

Concentrated purchasing patterns of plug-in vehicles may result in localized distribution transformer overload scenarios. Prolonged periods of transformer overloading causes service life decrements, and in worst-case scenarios, results in tripped thermal relays and residential service outages. This analysis will review distribution transformer load models developed in the IEC 60076 standard, and apply the model to a neighborhood with plug-in hybrids. Residential distribution transformers are sized such that night-time cooling provides thermal recovery from heavy load conditions during the daytime utility peak. It is expected that PHEVs will primarily be charged at night in a residential setting. If not managed properly, some distribution transformers could become overloaded, leading to a reduction in transformer life expectancy, thus increasing costs to utilities and consumers. A Monte-Carlo scheme simulated each day of the year, evaluating 100 load scenarios as it swept through the following variables: number of vehicle per transformer, transformer size, and charging rate. A general method for determining expected transformer aging rate will be developed, based on the energy needs of plug-in vehicles loading a residential transformer.

Kuss, M.; Markel, T.; Kramer, W.

2011-01-01T23:59:59.000Z

103

Vehicle Technologies Office: Multi-Year Program Plan 2011-2015 | Department  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment of EnergyProgram2-26TheUtility-ScaleofLabReportEnergy Ethanol can be|of

104

Vehicle Technologies Program - Multi-Year Program Plan 2011-2015  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of EnergyTheTwoVulnerabilitiesPowertrainReadiness forMulti-Year Program

105

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

106

Equivalent circuit modeling of hybrid electric vehicle drive train  

E-Print Network [OSTI]

. . . . Figure 3. 4. 6: The motor shaft at no load. Figure 3. 4. 7: Bond graph for the motor shaft. . . Figure 3. 4. 8: Equivalent circuit of the motor shaft. Figure 3. 5. 1: Concrete example: the elevator Figure 3. 5. 2: Electro-mechanical model... model of the elevator. Figure 3. 5. 8: Final equivalent circuit of the elevator. Figure 4. 1. 1: Mechanical model of a shaft. Figure 4. 1. 2: Equivalent circuit of the shaft. Figure 4. 1. 3: Mechanical model of a gearbox. Figure 4. 1. 4: Equivalent...

Routex, Jean-Yves

2001-01-01T23:59:59.000Z

107

Modeling Electric Vehicle Benefits Connected to Smart Grids  

E-Print Network [OSTI]

model, HX – heat exchanger (using combined heat and power capabilities), HPR – heat-power ratio, ICE – internal combustion engine, GT – gas Turbine,

Stadler, Michael

2012-01-01T23:59:59.000Z

108

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

E-Print Network [OSTI]

internal combustion engine vehicles, the hydrogen fuel cell vehicle has the advantages of high energy efficiency and low emissions

Zhao, Hengbing; Burke, Andy

2008-01-01T23:59:59.000Z

109

Battery Ownership Model: A Tool for Evaluating the Economics of Electrified Vehicles and Related Infrastructure; Preprint  

SciTech Connect (OSTI)

Electric vehicles could significantly reduce greenhouse gas (GHG) emissions and dependence on imported petroleum. However, for mass adoption, EV costs have historically been too high to be competitive with conventional vehicle options due to the high price of batteries, long refuel time, and a lack of charging infrastructure. A number of different technologies and business strategies have been proposed to address some of these cost and utility issues: battery leasing, battery fast-charging stations, battery swap stations, deployment of charge points for opportunity charging, etc. In order to investigate these approaches and compare their merits on a consistent basis, the National Renewable Energy Laboratory (NREL) has developed a new techno-economic model. The model includes nine modules to examine the levelized cost per mile for various types of powertrain and business strategies. The various input parameters such as vehicle type, battery, gasoline, and electricity prices; battery cycle life; driving profile; and infrastructure costs can be varied. In this paper, we discuss the capabilities of the model; describe key modules; give examples of how various assumptions, powertrain configurations, and business strategies impact the cost to the end user; and show the vehicle's levelized cost per mile sensitivity to seven major operational parameters.

O'Keefe, M.; Brooker, A.; Johnson, C.; Mendelsohn, M.; Neubauer, J.; Pesaran, A.

2011-01-01T23:59:59.000Z

110

[Electric and hybrid vehicle site operators program]: Thinking of the future. Second year third quarter report, January 1--March 31, 1993  

SciTech Connect (OSTI)

Kansas State University, with funding support from federal, state, public, and private companies, is participating in the Department of Energy`s Electric Vehicle Site Operator Program. Through participation in this program, Kansas State is displaying, testing, and evaluating electric or hybrid vehicle technology. This participation will provide organizations the opportunity to examine the latest EHV prototypes under actual operating conditions. KSU proposes to purchase one (1) electric or hybrid vans and two (2) electric cars during the first two years of this five-year program. KSU has purchased one G-Van built by Conceptor Industries, Toronto, Canada and has initiated a procurement order to purchase two (2) Soleq 1993 Ford EVcort station wagons. The G-Van has been signed in order for the public to be aware that this is an electric drive vehicle. Financial participants` names have been stenciled on the back door of the van. This vehicle is available for short term loan to interested utilities and companies. When other vehicles are obtained, the G-Van will be maintained on K-State`s campus.

Not Available

1993-04-01T23:59:59.000Z

111

Model year 2010 (Gen 3) Toyota Prius level 1 testing report.  

SciTech Connect (OSTI)

As a part of the US Department of Energy's Advanced Vehicle Testing Activity (AVTA), a model year 2010 Toyota Prius (Generation 3) was procured by eTec (Phoenix, AZ) and sent to ANL's Advanced Powertrain Research Facility for the purposes of 'Level 1' testing in support of the Advanced Vehicle Testing Activity (AVTA). Data was acquired during testing using non-intrusive sensors, vehicle network connection, and facilities equipment (emissions and dynamometer data). Standard drive cycles, performance cycles, steady-state cycles and A/C usage cycles were conducted. Much of this data is openly available for download in ANL's Downloadable Dynamometer Database (D{sup 3}). The major results are shown here in this report. Given the preliminary nature of this assessment, the majority of the testing was done over standard regulatory cycles and seeks to obtain a general overview of how the vehicle performs. These cycles include the US FTP cycle (Urban) and Highway Fuel Economy Test cycle as well as the US06, a more aggressive supplemental regulatory cycle. Data collection for this testing was kept at a fairly high level and includes emissions and fuel measurements from the exhaust emissions bench, high-voltage and accessory current and voltage from a DC power analyzer, and minimal CAN bus data such as engine speed and pedal position. The following sections will seek to explain some of the basic operating characteristics of the MY2010 Prius over standard regulatory cycles.

Rask, E.; Duoba, M.; Lohse-Busch, H.; Bocci, D.; Energy Systems

2010-06-24T23:59:59.000Z

112

Modeling the performance and cost of lithium-ion batteries for electric-drive vehicles.  

SciTech Connect (OSTI)

This report details the Battery Performance and Cost model (BatPaC) developed at Argonne National Laboratory for lithium-ion battery packs used in automotive transportation. The model designs the battery for a specified power, energy, and type of vehicle battery. The cost of the designed battery is then calculated by accounting for every step in the lithium-ion battery manufacturing process. The assumed annual production level directly affects each process step. The total cost to the original equipment manufacturer calculated by the model includes the materials, manufacturing, and warranty costs for a battery produced in the year 2020 (in 2010 US$). At the time this report is written, this calculation is the only publically available model that performs a bottom-up lithium-ion battery design and cost calculation. Both the model and the report have been publically peer-reviewed by battery experts assembled by the U.S. Environmental Protection Agency. This report and accompanying model include changes made in response to the comments received during the peer-review. The purpose of the report is to document the equations and assumptions from which the model has been created. A user of the model will be able to recreate the calculations and perhaps more importantly, understand the driving forces for the results. Instructions for use and an illustration of model results are also presented. Almost every variable in the calculation may be changed by the user to represent a system different from the default values pre-entered into the program. The distinct advantage of using a bottom-up cost and design model is that the entire power-to-energy space may be traversed to examine the correlation between performance and cost. The BatPaC model accounts for the physical limitations of the electrochemical processes within the battery. Thus, unrealistic designs are penalized in energy density and cost, unlike cost models based on linear extrapolations. Additionally, the consequences on cost and energy density from changes in cell capacity, parallel cell groups, and manufacturing capabilities are easily assessed with the model. New proposed materials may also be examined to translate bench-scale values to the design of full-scale battery packs providing realistic energy densities and prices to the original equipment manufacturer. The model will be openly distributed to the public in the year 2011. Currently, the calculations are based in a Microsoft{reg_sign} Office Excel spreadsheet. Instructions are provided for use; however, the format is admittedly not user-friendly. A parallel development effort has created an alternate version based on a graphical user-interface that will be more intuitive to some users. The version that is more user-friendly should allow for wider adoption of the model.

Nelson, P. A.

2011-10-20T23:59:59.000Z

113

Integrated Mathematical Modeling Software Series of Vehicle Propulsion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensionalthe U.S.IndianaofPilot Project | Departmentand

114

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

115

Vehicle Technologies Office: Modeling, Testing, Data and Results |  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500IIVasudha Patri Mechanical EngineerEnergyDepartment of

116

Vehicle Technologies Office Merit Review 2014: Unified Modeling,  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear Guide Remote55Energy

117

Vehicle Technologies Office: Modeling and Simulation | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear GuideReport |(GATE) | DepartmentEngines |Systems

118

AVTA Vehicle Component Cost Model | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South ValleyASGovLtr.pdf ASGovLtr.pdf-OPAMGuidance forAUDITSafety OfficerAVTA

119

Heavy Duty Vehicle Modeling & Simulation | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensional Subject:Ground Hawaii CleanHeat Pump Water Heaters|In-Use&

120

Heavy Duty Vehicle Modeling and Simulation | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensional Subject:Ground Hawaii CleanHeat Pump Water Heaters|In-Use&and

Note: This page contains sample records for the topic "vehicles model years" 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

HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution) Model  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensional Subject:Groundto Apply for Weatherization 7 2.0Season:

122

Vehicle Technologies Office Merit Review 2014: Emissions Modeling: GREET  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept. ofUSAPotentiallyDepartment ofUsingTechnologyLife Cycle

123

Integrated Vehicle Thermal Management Systems (VTMS) Analysis/Modeling |  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensionalthe U.S.IndianaofPilot ProjectDepartment of Energy Systems

124

NREL: Transportation Research - Vehicle Thermal Management Models and Tools  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andData andFleet Test and EvaluationManagement Image of two cars

125

Battery Ownership Model: A Tool for Evaluating the Economics of Electrified Vehicles and Related Infrastructure (Presentation)  

SciTech Connect (OSTI)

This presentation uses a vehicle simulator and economics model called the Battery Ownership Model to examine the levelized cost per mile of conventional (CV) and hybrid electric vehicles (HEVs) in comparison with the cost to operate an electric vehicle (EV) under a service provider business model. The service provider is assumed to provide EV infrastructure such as charge points and swap stations to allow an EV with a 100-mile range to operate with driving profiles equivalent to CVs and HEVs. Battery cost, fuel price forecast, battery life, and other variables are examined to determine under what scenarios the levelized cost of an EV with a service provider can approach that of a CV. Scenarios in both the United States as an average and Hawaii are examined. The levelized cost of operating an EV with a service provider under average U.S. conditions is approximately twice the cost of operating a small CV. If battery cost and life can be improved, in this study the cost of an EV drops to under 1.5 times the cost of a CV for U.S. average conditions. In Hawaii, the same EV is only slightly more expensive to operate than a CV.

O'Keefe, M.; Brooker, A.; Johnson, C.; Mendelsohn, M.; Neubauer, J.; Pesaran, A.

2010-11-01T23:59:59.000Z

126

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

127

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

128

Analysis and calibration of social factors in a consumer acceptance and adoption model for diffusion of diesel vehicle in Europe  

E-Print Network [OSTI]

While large scale diffusion of alternative fuel vehicles (AFVs) is widely anticipated, the mechanisms that determine their success or failure are ill understood. Analysis of an AFV transition model developed at MIT has ...

Zhang, Qi, S.M. Massachusetts Institute of Technology

2008-01-01T23:59:59.000Z

129

Utility vehicle safety Operator training program  

E-Print Network [OSTI]

Utility vehicle safety Operator training program #12;Permissible use Utility Vehicles may only Utility Vehicle operator · When equipped with the "Required Equipment" · On public roadways within Drivers" · Obey all traffic regulations · Trained; update training every two years · Operate vehicles

Minnesota, University of

130

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...

131

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

132

Fact #854 January 5, 2015 Driving Ranges for All-Electric Vehicles in Model  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulie A. Reddick| DepartmentVehiclesTwo and a HalfNew Light

133

Model Based Vehicle Tracking in Urban Environments Anna Petrovskaya and Sebastian Thrun  

E-Print Network [OSTI]

the moving vehicle tracking module we developed for our autonomous driving robot Junior. The robot won second and organized a series of competitions for autonomous vehicles. In 2005 autonomous vehicles were able we are concerned with laser based vehicle tracking from the autonomous robotic platform Ju- nior

134

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

135

Evaluating indoor exposure modeling alternatives for LCA: A case study in the vehicle repair industry  

SciTech Connect (OSTI)

We evaluated three exposure models with data obtained from measurements among workers who use"aerosol" solvent products in the vehicle repair industry and with field experiments using these products to simulate the same exposure conditions. The three exposure models were the: 1) homogeneously-mixed-one-box model, 2) multi-zone model, and 3) eddy-diffusion model. Temporally differentiated real-time breathing zone volatile organic compound (VOC) concentration measurements, integrated far-field area samples, and simulated experiments were used in estimating parameters, such as emission rates, diffusivity, and near-field dimensions. We assessed differences in model input requirements and their efficacy for predictive modeling. The One-box model was not able to resemble the temporal profile of exposure concentrations, but it performed well concerning time-weighted exposure over extended time periods. However, this model required an adjustment for spatial concentration gradients. Multi-zone models and diffusion-models may solve this problem. However, we found that the reliable use of both these models requires extensive field data to appropriately define pivotal parameters such as diffusivity or near-field dimensions. We conclude that it is difficult to apply these models for predicting VOC exposures in the workplace. However, for comparative exposure scenarios in life-cycle assessment they may be useful.

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

2009-05-01T23:59:59.000Z

136

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

137

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

138

Advanced Technology Vehicle Testing  

SciTech Connect (OSTI)

The light-duty vehicle transportation sector in the United States depends heavily on imported petroleum as a transportation fuel. The Department of Energy’s Advanced Vehicle Testing Activity (AVTA) is testing advanced technology vehicles to help reduce this dependency, which would contribute to the economic stability and homeland security of the United States. These advanced technology test vehicles include internal combustion engine vehicles operating on 100% hydrogen (H2) and H2CNG (compressed natural gas) blended fuels, hybrid electric vehicles, neighborhood electric vehicles, urban electric vehicles, and electric ground support vehicles. The AVTA tests and evaluates these vehicles with closed track and dynamometer testing methods (baseline performance testing) and accelerated reliability testing methods (accumulating lifecycle vehicle miles and operational knowledge within 1 to 1.5 years), and in normal fleet environments. The Arizona Public Service Alternative Fuel Pilot Plant and H2-fueled vehicles are demonstrating the feasibility of using H2 as a transportation fuel. Hybrid, neighborhood, and urban electric test vehicles are demonstrating successful applications of electric drive vehicles in various fleet missions. The AVTA is also developing electric ground support equipment (GSE) test procedures, and GSE testing will start during the fall of 2003. All of these activities are intended to support U.S. energy independence. The Idaho National Engineering and Environmental Laboratory manages these activities for the AVTA.

James Francfort

2003-11-01T23:59:59.000Z

139

Motor Vehicle Rental Exemption Certificate THIS EXEMPTION CERTIFICATE IS NOT VALID FOR TAX-FREE REGISTRATION.  

E-Print Network [OSTI]

Motor Vehicle Rental Exemption Certificate THIS EXEMPTION CERTIFICATE IS NOT VALID FOR TAX-FREE REGISTRATION. THIS EXEMPTION CERTIFICATE MUST BE ATTACHED TO THE RENTAL CONTRACT. Make of Vehicle Motor or Vehicle Identification Number Year Model Body Style License Number The undersigned claims exemption from

Behmer, Spencer T.

140

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

Note: This page contains sample records for the topic "vehicles model years" 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

Smog Check II Evaluation Part II: Overview of Vehicle  

E-Print Network [OSTI]

Smog Check II Evaluation Part II: Overview of Vehicle Emissions . . . . . . . . . . . . Prepared in Later Sections ____________________ 1 3. Older Vehicles Have Higher Emissions on Average _____________ 3 4. The Vehicle Fleet Is Dominated by Newer Vehicles______________ 8 5. More Recent Vehicle Models

Denver, University of

142

Modelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles  

E-Print Network [OSTI]

optimization of PEM fuel cell power system, and fuel cell powered, low speed electric vehicles. #12;iii TABLEModelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles by Matthew Blair Supervisors: Dr. Zuomin Dong ABSTRACT Electric vehicles, as an emerging transportation platform, have been

Victoria, University of

143

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

144

Applications of Probabilistic Graphical Models to Diagnosis and Control of Autonomous Vehicles  

E-Print Network [OSTI]

the performancesof unmanned underwater vehicles were identified in terms of safety for the system itself as well problems of di- agnosis and control of ground and underwater robotic vehicles. In particular, we describe how battery monitoring and control problems related to an underwater and a ground vehicle are solved

145

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...

146

ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS  

E-Print Network [OSTI]

- 1 - ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS S. Brennan & A. Alleyne and spatial re-parameterization of the linear vehicle Bicycle Model is presented utilizing non-dimensional ratios of vehicle parameters called -groups. Investigation of the -groups using compiled data from 44

Brennan, Sean

147

ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS  

E-Print Network [OSTI]

ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS S. Brennan & A. Alleyne Dept, IL 61801 ABSTRACT A temporal and spatial re-parameterization of the well- known linear vehicle Bicycle Model is presented. This parameterization utilizes non-dimensional ratios of vehicle parameters

Brennan, Sean

148

YEAR  

National Nuclear Security Administration (NNSA)

5 YEAR 2014 Males 61 Females 24 PAY PLAN YEAR 2014 SES 1 EJEK 8 EN 04 22 NN (Engineering) 23 NQ (ProfTechAdmin) 28 NU (TechAdmin Support) 3 YEAR 2014 American Indian Alaska...

149

YEAR  

National Nuclear Security Administration (NNSA)

96 YEAR 2013 Males 69 Females 27 YEAR 2013 SES 1 EJEK 9 EN 04 27 NN (Engineering) 26 NQ (ProfTechAdmin) 30 NU (TechAdmin Support) 3 YEAR 2013 American Indian Alaska Native Male...

150

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

151

A Bottom-Up Approach to Verification of Hybrid Model-Based Hierarchical Controllers with application to Underwater Vehicles  

E-Print Network [OSTI]

A Bottom-Up Approach to Verification of Hybrid Model-Based Hierarchical Controllers with application to Underwater Vehicles M. O'Connor, S. Tangirala, R. Kumar, S. Bhattacharyya, M. Sznaier and L.E. Holloway Abstract -- We present a systematic method of verification for a hierarchical hybrid system

Kumar, Ratnesh

152

Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles  

E-Print Network [OSTI]

conventional internal combustion engine vehicles (ICEVs) (East may change, internal combustion engines may becometechnology: gasoline internal combustion engines. At time t

Collantes, Gustavo O

2007-01-01T23:59:59.000Z

153

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...

154

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,...

155

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...

156

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

157

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...

158

Will China's Vehicle Population Grow Even Faster than Forecasted?  

E-Print Network [OSTI]

2011. “China’s Soaring Vehicle Population: Even Greater Thanversion, “China’s Soaring Vehicle Population: Even Greater2012. “Modeling Future Vehicle Sales and Stock in China,”

Wang, Yunshi; Teter, Jacob; Sperling, Daniel

2012-01-01T23:59:59.000Z

159

24 More Years of Numerical Weather Prediction: A Model Performance Model  

E-Print Network [OSTI]

24 More Years of Numerical Weather Prediction: A Model Performance Model Gerard Cats May 26, 2008 Abstract For two formulations of currently usual numerical weather prediction models the evolution in such a model is much 1 #12;24 More Years of Numerical Weather Prediction Gerard Cats higher than in a sis

Stoffelen, Ad

160

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

Note: This page contains sample records for the topic "vehicles model years" 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

Modeling, Simulation Design and Control of Hybrid-Electric Vehicle Drives  

SciTech Connect (OSTI)

Ohio State University (OSU) is uniquely poised to establish such a center, with interdisciplinary emphasis on modeling, simulation, design and control of hybrid-electric drives for a number of reasons, some of which are: (1) The OSU Center for Automotive Research (CAR) already provides an infrastructure for interdisciplinary automotive research and graduate education; the facilities available at OSU-CAR in the area of vehicle and powertrain research are among the best in the country. CAR facilities include 31,000 sq. feet of space, multiple chassis and engine dynamometers, an anechoic chamber, and a high bay area. (2) OSU has in excess of 10 graduate level courses related to automotive systems. A graduate level sequence has already been initiated with GM. In addition, an Automotive Systems Engineering (ASE) program cosponsored by the mechanical and electrical engineering programs, had been formulated earlier at OSU, independent of the GATE program proposal. The main objective of the ASE is to provide multidisciplinary graduate education and training in the field of automotive systems to Masters level students. This graduate program can be easily adapted to fulfill the spirit of the GATE Center of Excellence. (3) A program in Mechatronic Systems Engineering has been in place at OSU since 1994; this program has a strong emphasis on automotive system integration issues, and has emphasized hybrid-electric vehicles as one of its application areas. (4) OSU researchers affiliated with CAR have been directly involved in the development and study of: HEV modeling and simulation; electric drives; transmission design and control; combustion engines; and energy storage systems. These activities have been conducted in collaboration with government and automotive industry sponsors; further, the same researchers have been actively involved in continuing education programs in these areas with the automotive industry. The proposed effort will include: (1) The development of a laboratory facility that will include: electric drive and IC engine test benches; a test vehicle designed for rapid installation of prototype drives; benches for the measurement and study of HEV energy storage components (batteries, ultra-capacitors, flywheels); hardware-in-the-loop control system development tools. (2) The creation of new courses and upgrades of existing courses on subjects related to: HEV modeling and simulation; supervisory control of HEV drivetrains; engine, transmission, and electric drive modeling and control. Specifically, two new courses (one entitled HEV Component Analysis: and the other entitled HEV System Integration and Control) will be developed. Two new labs, that will be taught with the courses (one entitled HEV Components Lab and one entitled HEV Systems and Control lab) will also be developed. (3) The consolidation of already existing ties among faculty in electrical and mechanical engineering departments. (4) The participation of industrial partners through: joint laboratory development; internship programs; continuing education programs; research project funding. The proposed effort will succeed because of the already exceptional level of involvement in HEV research and in graduate education in automotive engineering at OSU, and because the PIs have a proven record of interdisciplinary collaboration as evidenced by joint proposals, joint papers, and co-advising of graduate students. OSU has been expanding its emphasis in Automotive Systems for quite some time. This has led to numerous successes such as the establishment of the Center of Automotive Research, a graduate level course sequence with GM, and numerous grants and contracts on automotive research. The GATE Center of Excellence is a natural extension of what educators at OSU already do well.

Giorgio Rizzoni

2005-09-30T23:59:59.000Z

162

QUANTIFYING THE EXTERNAL COSTS OF VEHICLE USE: EVIDENCE FROM AMERICA'S TOP SELLING LIGHT-DUTY MODELS  

E-Print Network [OSTI]

-selling passenger cars and light-duty trucks in the U.S. Among these external costs, those associated with crashes estimated for several other vehicles of particular interest, including GM's Hummer and several hybrid drive: small cars, mid-sized cars, large cars, luxury cars, crossover utility vehicles (CUVs), sport

Kockelman, Kara M.

163

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 -...

164

Guidelines for the Establishment of a Model Neighborhood Electric Vehicle (NEV) Fleet  

SciTech Connect (OSTI)

The U.S. Department of Energy’s Advanced Vehicle Testing Activity tests neighborhood electric vehicles (NEVs) in both track and fleet testing environments. NEVs, which are also known as low speed vehicles, are light-duty vehicles with top speeds of between 20 and 25 mph, and total gross vehicle weights of approximately 2,000 pounds or less. NEVs have been found to be very viable alternatives to internal combustion engine vehicles based on their low operating costs. However, special charging infrastructure is usually necessary for successful NEV fleet deployment. Maintenance requirements are also unique to NEVs, especially if flooded lead acid batteries are used as they have watering requirements that require training, personnel protection equipment, and adherence to maintenance schedules. This report provides guidelines for fleet managers to follow in order to successfully introduce and operate NEVs in fleet environments. This report is based on the NEV testing and operational experience of personnel from the Advanced Vehicle Testing Activity, Electric Transportation Applications, and the Idaho National Laboratory.

Roberta Brayer; Donald Karner; Kevin Morrow; James Francfort

2006-06-01T23:59:59.000Z

165

YEAR  

National Nuclear Security Administration (NNSA)

8 Females 25 PAY PLAN YEAR 2014 SES 1 EJEK 3 EN 05 1 EN 04 25 EN 03 1 NN (Engineering) 25 NQ (ProfTechAdmin) 25 NU (TechAdmin Support) 2 YEAR 2014 American Indian Alaska Native...

166

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

167

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 2012 Males42 YEAR

168

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296 YEAR 2013

169

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296 YEAR 20135

170

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296 YEAR

171

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296 YEAR17 111

172

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296 YEAR17

173

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296 YEAR179

174

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296 YEAR1794

175

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296 YEAR17949

176

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296 YEAR17949

177

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296 YEAR179495

178

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 20129689 YEAR

179

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 20129689 YEAR64

180

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 20129689 YEAR643

Note: This page contains sample records for the topic "vehicles model years" 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

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296892 YEAR

182

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296892 YEAR94

183

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296892707 YEAR

184

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR6 8731 YEAR 2012

185

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR6 8731 YEAR 201233

186

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR6 8731 YEAR

187

Evaluation of fuel consumption potential of medium and heavy duty vehicles through modeling and simulation.  

SciTech Connect (OSTI)

The main objective of this report is to provide quantitative data to support the Committee in its task of establishing a report to support rulemaking on medium- and heavy-duty fuel efficiency improvement. In particular, it is of paramount importance for the Committee to base or illustrate their conclusions on established models and actual state-of-the art data. The simulations studies presented in the report have been defined and requested by the members of the National Academy committee to provide quantitative inputs to support their recommendations. As such, various technologies and usage scenarios were considered for several applications. One of the objective is to provide the results along with their associated assumptions (both vehicle and drive cycles), information generally missing from public discussions on literature search. Finally, the advantages and limitations of using simulation will be summarized. The study addresses several of the committee tasks, including: (1) Discussion of the implication of metric selection; (2) Assessing the impact of existing technologies on fuel consumption through energy balance analysis (both steady-state and standard cycles) as well as real world drive cycles; and (3) Impact of future technologies, both individually and collectively.

Delorme, A.; Karbowski, D.; Sharer, P.; Energy Systems

2010-03-31T23:59:59.000Z

188

Electric and Hydrogen Vehicles Past and Progress  

E-Print Network [OSTI]

status and TSRC research ­ Future? · Hydrogen Fuel Cell Vehicles ­ 20 years ago ­ 10 years ago ­ Current · Transportation Propulsion, Fuels, & Emissions ­ Electric-drive vehicles (including plug-in hybrid and fuel-cell Electric and Fuel Cell Vehicles?Why Electric and Fuel Cell Vehicles? · Transportation accounts for about 33

Kammen, Daniel M.

189

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

190

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

191

The electric vehicle experiment : developing the theoretical model for 2.672  

E-Print Network [OSTI]

The purpose of this project was to develop a computer simulation of the proposed 2.672 electric vehicle experiment (EVE) to estimate the magnitudes of the powers required in different components of the drive train, piecewise ...

Zedler, Matthew R. (Matthew Robert)

2007-01-01T23:59:59.000Z

192

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...

193

Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles  

E-Print Network [OSTI]

engines. At time t = 0, gasoline HEVs enter the market, followed by hydrogen-hydrogen vehicles have no tailpipe emissions while at the same time offer private benefits relative to conventional internal combustion engine

Collantes, Gustavo O

2007-01-01T23:59:59.000Z

194

Electric vehicle charging infrastructure deployment : policy analysis using a dynamic behavioral spatial model  

E-Print Network [OSTI]

The United States government is committed to promoting a market for electric vehicles. To ensure that this electrification program does not result in the same failure that has come be associated with its predecessor programs, ...

Kearney, Michael J. (Michael Joseph)

2011-01-01T23:59:59.000Z

195

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

196

Modeling design changes in vehicle assembly systems : platform transition strategies and manufacturing flexibility  

E-Print Network [OSTI]

Driven by rising environmental and geopolitical concerns, regulations have been put in place over the last decade to compel car makers to lower the CO2 emissions of their cars. Due to these increasingly stringent vehicle ...

Wüstemeyer, Christoph

2014-01-01T23:59:59.000Z

197

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

198

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

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

Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles  

E-Print Network [OSTI]

dual superiority of hydrogen fuel-cell vehicles (FCVs) hasneeded to position the hydrogen–fuel cell combination as ainclude on-board hydrogen storage and fuel cell durability.

Collantes, Gustavo O

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "vehicles model years" 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

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

202

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

203

Integrated perception, modeling, and control paradigm for bistatic sonar tracking by autonomous underwater vehicles  

E-Print Network [OSTI]

In this thesis, a fully autonomous and persistent bistatic anti-submarine warfare (ASW) surveillance solution is developed using the autonomous underwater vehicles (AUVs). The passive receivers are carried by these AUVs, ...

Lum, Raymond Hon Kit

2012-01-01T23:59:59.000Z

204

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK0137 YEAR 2013

205

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK0137 YEAR

206

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK0137 YEAR49

207

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK0137 YEAR4993

208

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK013702 YEAR

209

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK013702 YEAR

210

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK01370274 YEAR

211

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 2012 Males 19

212

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 2012 Males 1916

213

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 2012 Males 191686

214

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 2012 Males

215

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 2012 Males42

216

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 2012 Males427

217

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 2012 Males4278

218

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 2012 Males427825

219

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 2012 Males4278251

220

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 2012

Note: This page contains sample records for the topic "vehicles model years" 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

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296

222

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 20129689

223

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296892

224

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 201296892707

225

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 2012968927072659

226

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR 20129689270726598

227

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR

228

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR6 87 -9.38% ↓

229

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR6 87 -9.38% ↓558

230

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR6 87 -9.38%

231

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR6 87 -9.38%563

232

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR6 87 -9.38%56378

233

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR6 87 -9.38%5637831

234

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A0 YEAR6 87

235

Electric-Drive Vehicle engineering  

E-Print Network [OSTI]

Electric-Drive Vehicle engineering COLLEGE of ENGINEERING Electric-drive engineers for 80 years t Home to nation's first electric-drive vehicle engineering program and alternative-credit EDGE Engineering Entrepreneur Certificate Program is a great addition to an electric-drive vehicle

Berdichevsky, Victor

236

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,...

237

YEAR  

National Nuclear Security Administration (NNSA)

YEAR 2012 2013 SES 2 1 -50.00% EN 05 0 1 100.00% EN 04 4 4 0.00% NN (Engineering) 13 12 -7.69% NQ (ProfTechAdmin) 13 9 -30.77% NU (TechAdmin Support) 1 1...

238

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

239

Vehicle Technologies Office: 2009 Advanced Vehicle Technology...  

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

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

240

Vehicle Technologies Office: 2008 Advanced Vehicle Technology...  

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

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

Note: This page contains sample records for the topic "vehicles model years" 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

On-Road Motor Vehicle Emissions Measurements  

E-Print Network [OSTI]

. Pokharel, Gary A. Bishop and Donald H. Stedman Department of Chemistry and Biochemistry University 1990 1991 1992 1993 1994 1995 1996 1997 1998 Model Year FailureRate(%) Gasoline Vehicles Natural Gas Bi/day382252Diesel trucks Tons/day2730220Gasohol (LTK, PAS) Tons/day3748369Gasoline (LTK, PAS) g per kg of fuel

Denver, University of

242

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...

243

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK0

244

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK0137

245

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK013702

246

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK01370274

247

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK0137027440

248

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK01370274403

249

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK013702744038

250

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A GUIDEBOOK0137027440384

251

YEAR  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A

252

Effect of Intake Air Filter Condition on Light-Duty Gasoline Vehicles  

SciTech Connect (OSTI)

Proper maintenance can help vehicles perform as designed, positively affecting fuel economy, emissions, and the overall drivability. This effort investigates the effect of one maintenance factor, intake air filter replacement, with primary focus on vehicle fuel economy, but also examining emissions and performance. Older studies, dealing with carbureted gasoline vehicles, have indicated that replacing a clogged or dirty air filter can improve vehicle fuel economy and conversely that a dirty air filter can be significantly detrimental to fuel economy. The effect of clogged air filters on the fuel economy, acceleration and emissions of five gasoline fueled vehicles is examined. Four of these were modern vehicles, featuring closed-loop control and ranging in model year from 2003 to 2007. Three vehicles were powered by naturally aspirated, port fuel injection (PFI) engines of differing size and cylinder configuration: an inline 4, a V6 and a V8. A turbocharged inline 4-cylinder gasoline direct injection (GDI) engine powered vehicle was the fourth modern gasoline vehicle tested. A vintage 1972 vehicle equipped with a carburetor (open-loop control) was also examined. Results reveal insignificant fuel economy and emissions sensitivity of modern vehicles to air filter condition, but measureable effects on the 1972 vehicle. All vehicles experienced a measured acceleration performance penalty with clogged intake air filters.

Thomas, John F [ORNL] [ORNL; Huff, Shean P [ORNL] [ORNL; West, Brian H [ORNL] [ORNL; Norman, Kevin M [ORNL] [ORNL

2012-01-01T23:59:59.000Z

253

SP-100 operational life model. Fiscal Year 1990 annual report  

SciTech Connect (OSTI)

This report covers the initial year`s effort in the development of an Operational Life Model (OLM) for the SP-100 Space Reactor Power System. The initial step undertaken in developing the OLM was to review all available documentation from GE on their plans for the OLM and on the degradation and failure mechanisms envisioned for the SP-100. In addition, the DEGRA code developed at JPL, which modelled the degradation of the General Purpose Heat Source based Radioisotope Thermoelectric Generator (GPHS-RTG), was reviewed. Based on the review of the degradation and failure mechanisms, a list of the most pertinent degradation effects along with their key degradation mechanisms was compiled. This was done as a way of separating the mechanisms from the effects and allowing all of the effects to be incorporated into the OLM. The emphasis was on parameters which will tend to change performance as a function of time and not on those that are simply failures without any prior degradation.

Ewell, R.; Awaya, H.

1990-12-14T23:59:59.000Z

254

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...

255

VEHICLE NETWORKS: ACHIEVING REGULAR FORMATION  

E-Print Network [OSTI]

VEHICLE NETWORKS: ACHIEVING REGULAR FORMATION MADALENA CHAVES, ROBERT DAY, LUCIA GOMEZ a network of vehicles exchanging information among themselves with the intention of achieving a specified the performance of the vehicle network. A stochastic model for information flow is also considered, allowing

256

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.

257

On the Higher-Order MoM-PO Electromagnetic Modeling of Vehicles  

E-Print Network [OSTI]

vehicles (cars, airplanes, helicopters, spacecraft, etc.). From the electromagnetic point of view and accurate higher-order, large-domain hybrid computational technique based on the method of moments (Mo the efficiency and accuracy of the hybrid higher-order computational technique and its advantages over

Notaros, Branislav M.

258

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

259

Energy Star Concepts for Highway Vehicles  

SciTech Connect (OSTI)

The authors of this report, under the sponsorship of the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Weatherization and Intergovernmental Program, have investigated the possible application of Energy Star ratings to passenger cars and light trucks. This study establishes a framework for formulating and evaluating Energy Star rating methods that is comprised of energy- and environmental-based metrics, potential vehicle classification systems, vehicle technology factors, and vehicle selection criteria. The study tests several concepts and Energy Star rating methods using model-year 2000 vehicle data--a spreadsheet model has been developed to facilitate these analyses. This study tests two primary types of rating systems: (1) an outcome-based system that rates vehicles based on fuel economy, GHG emissions, and oil use and (2) a technology-based system that rates vehicles based on the energy-saving technologies they use. Rating methods were evaluated based on their ability to select vehicles with high fuel economy, low GHG emissions, and low oil use while preserving a full range of service (size and acceleration) and body style choice. This study concludes that an Energy Star rating for passenger cars and light trucks is feasible and that several methods could be used to achieve reasonable tradeoffs between low energy use and emissions and diversity in size, performance, and body type. It also shows that methods that consider only fuel economy, GHG emissions, or oil use will not select a diverse mix of vehicles. Finally, analyses suggest that methods that encourage the use of technology only, may result in increases in acceleration power and weight rather than reductions in oil use and GHG emissions and improvements in fuel economy.

Greene, D.L.

2003-06-24T23:59:59.000Z

260

Electric vehicles  

SciTech Connect (OSTI)

Quiet, clean, and efficient, electric vehicles (EVs) may someday become a practical mode of transportation for the general public. Electric vehicles can provide many advantages for the nation's environment and energy supply because they run on electricity, which can be produced from many sources of energy such as coal, natural gas, uranium, and hydropower. These vehicles offer fuel versatility to the transportation sector, which depends almost solely on oil for its energy needs. Electric vehicles are any mode of transportation operated by a motor that receives electricity from a battery or fuel cell. EVs come in all shapes and sizes and may be used for different tasks. Some EVs are small and simple, such as golf carts and electric wheel chairs. Others are larger and more complex, such as automobile and vans. Some EVs, such as fork lifts, are used in industries. In this fact sheet, we will discuss mostly automobiles and vans. There are also variations on electric vehicles, such as hybrid vehicles and solar-powered vehicles. Hybrid vehicles use electricity as their primary source of energy, however, they also use a backup source of energy, such as gasoline, methanol or ethanol. Solar-powered vehicles are electric vehicles that use photovoltaic cells (cells that convert solar energy to electricity) rather than utility-supplied electricity to recharge the batteries. This paper discusses these concepts.

Not Available

1990-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "vehicles model years" 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

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...

262

The Economic, Energy, and GHG Emissions Impacts of Proposed 2017–2025 Vehicle Fuel Economy Standards in the United States  

E-Print Network [OSTI]

Increases in the U.S. Corporate Average Fuel Economy (CAFE) Standards for 2017 to 2025 model year light-duty vehicles are currently under consideration. This analysis uses an economy-wide model with detail in the passenger ...

Karplus, Valerie

2012-07-31T23:59:59.000Z

263

Clean Transportation Program | 919-515-3480 | www.ncsc.ncsu.edu How to tell if your vehicle is E85 compatible...  

E-Print Network [OSTI]

FUEL VEHICLES FORD MOTOR COMPANY CONTINUED Make, Model, & Engine Size Year(s) 8th VIN Character Mercury Sable, 3.0L 2002-2004 2 Mercury Grand Marquis (2-valve), 4.6L 2007-2011 V GENERAL MOTORS *2008 & 2009 VEHICLES GENERAL MOTORS CONTINUED *2008 & 2009 FFV models have yellow fuel caps to identify them as E85

264

Clean Transportation Program | 919-515-3480 | www.ncsc.ncsu.edu How to tell if your vehicle is E85 compatible...  

E-Print Network [OSTI]

.cleantransportation.org #12;E85 CAPABLE FLEX FUEL VEHICLES General Motors CONTINUED Make, Model, & Engine Size Year(s) 8th VIN Marquis (2-valve), 4.6L 2007-2011 V GENERAL MOTORS *2008 & 2009 FFV models have yellow fuel caps compatible... Check to see if your vehicle is listed below. Be certain to check the ENGINE SIZE

265

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]

mounted PM synchronous motor (SPMSM) is developed in this paper. Due to the high conductivity of the rare of PM Motors in Hybrid Vehicle Applications Taking into Account Eddy Current Loss in Magnets Xiaofeng, University of Michigan-Dearborn, mi@ieee.org Abstract Permanent Magnet (PM) Motors are popular choices

Mi, Chunting "Chris"

266

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

267

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

268

Scenario analysis of hybrid class 3-7 heavy vehicles.  

SciTech Connect (OSTI)

The effects of hybridization on heavy-duty vehicles are not well understood. Heavy vehicles represent a broader range of applications than light-duty vehicles, resulting in a wide variety of chassis and engine combinations, as well as diverse driving conditions. Thus, the strategies, incremental costs, and energy/emission benefits associated with hybridizing heavy vehicles could differ significantly from those for passenger cars. Using a modal energy and emissions model, they quantify the potential energy savings of hybridizing commercial Class 3-7 heavy vehicles, analyze hybrid configuration scenarios, and estimate the associated investment cost and payback time. From the analysis, they conclude that (1) hybridization can significantly reduce energy consumption of Class 3-7 heavy vehicles under urban driving conditions; (2) the grid-independent, conventional vehicle (CV)-like hybrid is more cost-effective than the grid-dependent, electric vehicle (EV)-like hybrid, and the parallel configuration is more cost-effective than the series configuration; (3) for CV-like hybridization, the on-board engine can be significantly downsized, with a gasoline or diesel engine used for SUVs perhaps being a good candidate for an on-board engine; (4) over the long term, the incremental cost of a CV-like, parallel-configured Class 3-4 hybrid heavy vehicle is about %5,800 in the year 2005 and $3,000 in 2020, while for a Class 6-7 truck, it is about $7,100 in 2005 and $3,300 in 2020; and (5) investment payback time, which depends on the specific type and application of the vehicle, averages about 6 years under urban driving conditions in 2005 and 2--3 years in 2020.

An, F.; Stodolsky, F.; Vyas, A.; Cuenca, R.; Eberhardt, J. J.

1999-12-23T23:59:59.000Z

269

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

270

Miniature Autonomous Robotic Vehicle (MARV)  

SciTech Connect (OSTI)

Sandia National Laboratories (SNL) has recently developed a 16 cm{sup 3} (1 in{sup 3}) autonomous robotic vehicle which is capable of tracking a single conducting wire carrying a 96 kHz signal. This vehicle was developed to assess the limiting factors in using commercial technology to build miniature autonomous vehicles. Particular attention was paid to the design of the control system to search out the wire, track it, and recover if the wire was lost. This paper describes the test vehicle and the control analysis. Presented in the paper are the vehicle model, control laws, a stability analysis, simulation studies and experimental results.

Feddema, J.T.; Kwok, K.S.; Driessen, B.J.; Spletzer, B.L.; Weber, T.M.

1996-12-31T23:59:59.000Z

271

User's guide to DIANE Version 2. 1: A microcomputer software package for modeling battery performance in electric vehicle applications  

SciTech Connect (OSTI)

DIANE is an interactive microcomputer software package for the analysis of battery performance in electric vehicle (EV) applications. The principal objective of this software package is to enable the prediction of EV performance on the basis of laboratory test data for batteries. The model provides a second-by-second simulation of battery voltage and current for any specified velocity/time or power/time profile. The capability of the battery is modeled by an algorithm that relates the battery voltage to the withdrawn current, taking into account the effect of battery depth-of-discharge (DOD). Because of the lack of test data and other constraints, the current version of DIANE deals only with vehicles using fresh'' batteries with or without regenerative braking. Deterioration of battery capability due to aging can presently be simulated with user-input parameters accounting for an increase of effective internal resistance and/or a decrease of cell no-load voltage. DIANE 2.1 is written in FORTRAN language for use on IBM-compatible microcomputers. 7 refs.

Marr, W.W.; Walsh, W.J. (Argonne National Lab., IL (USA). Energy Systems Div.); Symons, P.C. (Electrochemical Engineering Consultants, Inc., Morgan Hill, CA (USA))

1990-06-01T23:59:59.000Z

272

Commercial Vehicle Classification using Vehicle Signature Data  

E-Print Network [OSTI]

Traffic Measurement and Vehicle Classification with SingleG. Ritchie. Real-time Vehicle Classification using InductiveReijmers, J.J. , "On-line vehicle classification," Vehicular

Liu, Hang; Jeng, Shin-Ting; Andre Tok, Yeow Chern; Ritchie, Stephen G.

2008-01-01T23:59:59.000Z

273

Modelling the global prospects and impacts of heavy duty liquefied natural gas vehicles in computable general equilibrium  

E-Print Network [OSTI]

Natural gas vehicles have the prospects of making substantial contributions to transportation needs. The adoption of natural gas vehicles could lead to impacts on energy and environmental systems. An analysis of the main ...

Yip, Arthur Hong Chun

2014-01-01T23:59:59.000Z

274

StreetSmart : modeling vehicle fuel consumption with mobile phone sensor data through a participatory sensing framework  

E-Print Network [OSTI]

Vehicle energy efficiency has become a priority of governments, researchers, and consumers in the wake of rising fuels costs over the last decade. Traditional Internal Combustion Engine (ICE) vehicles are particularly ...

Oehlerking, Austin Louis

2011-01-01T23:59:59.000Z

275

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

276

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

277

A Self-triggered Visual Servoing Model Predictive Control Scheme for Under-actuated Underwater Robotic Vehicles  

E-Print Network [OSTI]

extensively used in the past for the autonomous operation of underwater robotic vehicles. Complex missions Robotic Vehicles Shahab Heshmati-Alamdari, Alina Eqtami, George C. Karras, Dimos V. Dimarogonas and Kostas Control (NMPC) scheme for an under- actuated underwater robotic vehicle. In this scheme, the control loop

Dimarogonas, Dimos

278

192 Int. J. Vehicle Systems Modelling and Testing, Vol. 1, Nos. 1/2/3, 2005 Copyright 2005 Inderscience Enterprises Ltd.  

E-Print Network [OSTI]

Development Research Lab, General Motors Research and Development Center, Warren, MI USA E-mail: joe in the Vehicle Development Research Laboratory at the General Motors Research and Development Center in Warren, Michigan. His ten years of experience with General Motors and the Ford Motor Company have broadly spanned

Lewis, Kemper E.

279

Vehicle Rental Procedure Outline the procedure for renting motor pool vehicles at University of Michigan (U-M).  

E-Print Network [OSTI]

Vehicle Rental Procedure Objective Outline the procedure for renting motor pool vehicles at University of Michigan (U-M). Procedure 1. All policies pertaining to U-M vehicles also pertain to motor pool rental vehicles. 2. Motor pool vehicles can be reserved for a period of a few hours up to one year. 3

Kirschner, Denise

280

ARMY VEHICLE DURABILITY OPTIMIZATION & RELIABILITY  

E-Print Network [OSTI]

ARMY VEHICLE DURABILITY OPTIMIZATION & RELIABILITY How to Optimize the Vehicle Design to Minimize/Reduce the Weight? Under These Uncertainties, How to Achieve Component Level Reliability? Under These Uncertainties, How to Achieve System Level Reliability? Dynamics Analysis FE Model System Model Dynamic Stress

Kusiak, Andrew

Note: This page contains sample records for the topic "vehicles model years" 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

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, shell and tube heat exchanger. This model was applied to a representative...

Williams, Mark Robert

1993-01-01T23:59:59.000Z

282

Robotic vehicle  

DOE Patents [OSTI]

A robotic vehicle for travel through a conduit. The robotic vehicle includes forward and rear housings each having a hub portion, and each being provided with surface engaging mechanisms for selectively engaging the walls of the conduit such that the housings can be selectively held in stationary positions within the conduit. The surface engaging mechanisms of each housing includes a plurality of extendable appendages, each of which is radially extendable relative to the operatively associated hub portion between a retracted position and a radially extended position. The robotic vehicle also includes at least three selectively extendable members extending between the forward and rear housings, for selectively changing the distance between the forward and rear housings to effect movement of the robotic vehicle.

Box, W. Donald (Oak Ridge, TN)

1997-01-01T23:59:59.000Z

283

Robotic vehicle  

DOE Patents [OSTI]

A robotic vehicle for travel through a conduit. The robotic vehicle includes forward and rear housings each having a hub portion, and each being provided with surface engaging mechanisms for selectively engaging the walls of the conduit such that the housings can be selectively held in stationary positions within the conduit. The surface engaging mechanisms of each housing includes a plurality of extendable appendages, each of which is radially extendable relative to the operatively associated hub portion between a retracted position and a radially extended position. The robotic vehicle also includes at least three selectively extendable members extending between the forward and rear housings, for selectively changing the distance between the forward and rear housings to effect movement of the robotic vehicle.

Box, W. Donald (Oak Ridge, TN)

1998-01-01T23:59:59.000Z

284

Modeling, Simulation and Control System Design for Civil Unmanned Aerial Vehicle (UAV).  

E-Print Network [OSTI]

?? Unmanned aerial systems have been widely used for variety of civilian applications over the past few years. Some of these applications require accurate guidance… (more)

Bagheri, Shahriar

2014-01-01T23:59:59.000Z

285

Vehicle Technologies Office Merit Review 2014: Reassessing the...  

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

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

286

Department of Mechanical Engineering Spring 2012 Space Vehicle Water Drop Test and Vehicle Design  

E-Print Network [OSTI]

PENNSTATE Department of Mechanical Engineering Spring 2012 Space Vehicle Water Drop Test and Vehicle Design Overview The team was tasked with modelling the accelerations and pressures of an impact of the scaled landing vehicle to reduce the accelerations and pressures of the vehicle. Objectives Provide

Demirel, Melik C.

287

Clean Transportation Program | 919-515-3480 | www.ncsc.ncsu.edu How to tell if your vehicle is E85 compatible...  

E-Print Network [OSTI]

FUEL VEHICLES FORD MOTOR COMPANY CONTINUED Make, Model, & Engine Size Year(s) 8th VIN Character Lincoln.6L 2007-2011 V GENERAL MOTORS *2008 & 2009 FFV models have yellow fuel caps to identify them as E85 Motors CONTINUED Make, Model, & Engine Size Year(s) 8th VIN Character Chevy Malibu 2.4L 2.4L fleet

288

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPCofConstructionofFY 20112:of Energy 3:Plug-in VehiclesChoices

289

Generic Disposal System Modeling, Fiscal Year 2011 Progress Report |  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensional Subject: Guidance for naturalGeneral Service LED

290

Technology and Cost of the Model Year (MY) 2007 Toyota Camry HEV Final Report  

SciTech Connect (OSTI)

The Oak Ridge National Laboratory (ORNL) provides research and development (R&D) support to the Department of Energy on issues related to the cost and performance of hybrid vehicles. ORNL frequently benchmarks its own research against commercially available hybrid components currently used in the market. In 2005 we completed a detailed review of the cost of the second generation Prius hybrid. This study examines the new 2007 Camry hybrid model for changes in technology and cost relative to the Prius. The work effort involved a detailed review of the Camry hybrid and the system control strategy to identify the hybrid components used in the drive train. Section 2 provides this review while Section 3 presents our detailed evaluation of the specific drive train components and their cost estimates. Section 3 also provides a summary of the total electrical drive train cost for the Camry hybrid vehicle and contrasts these estimates to the costs for the second generation Prius that we estimated in 2005. Most of the information on cost and performance were derived from meetings with the technical staff of Toyota, Nissan, and some key Tier I suppliers like Hitachi and Panasonic Electric Vehicle Energy (PEVE) and we thank these companies for their kind cooperation.

None

2007-09-30T23:59:59.000Z

291

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...

292

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...

293

Autonomous vehicles  

SciTech Connect (OSTI)

There are various kinds of autonomous vehicles (AV`s) which can operate with varying levels of autonomy. This paper is concerned with underwater, ground, and aerial vehicles operating in a fully autonomous (nonteleoperated) mode. Further, this paper deals with AV`s as a special kind of device, rather than full-scale manned vehicles operating unmanned. The distinction is one in which the AV is likely to be designed for autonomous operation rather than being adapted for it as would be the case for manned vehicles. The authors provide a survey of the technological progress that has been made in AV`s, the current research issues and approaches that are continuing that progress, and the applications which motivate this work. It should be noted that issues of control are pervasive regardless of the kind of AV being considered, but that there are special considerations in the design and operation of AV`s depending on whether the focus is on vehicles underwater, on the ground, or in the air. The authors have separated the discussion into sections treating each of these categories.

Meyrowitz, A.L. [Navy Center for Applied Research in Artificial Intelligence, Washington, DC (United States)] [Navy Center for Applied Research in Artificial Intelligence, Washington, DC (United States); Blidberg, D.R. [Autonomous Undersea Systems Inst., Lee, NH (United States)] [Autonomous Undersea Systems Inst., Lee, NH (United States); Michelson, R.C. [Georgia Tech Research Inst., Smyrna, GA (United States)] [Georgia Tech Research Inst., Smyrna, GA (United States); [International Association for Unmanned Vehicle Systems, Smyrna, GA (United States)

1996-08-01T23:59:59.000Z

294

Effects of Vehicle Image in Gasoline-Hybrid Electric Vehicles  

E-Print Network [OSTI]

of Vehicle Image in Gasoline-Hybrid Electric Vehicles Reidof Vehicle Image in Gasoline-Hybrid Electric Vehicles Reidhigh demand for gasoline-hybrid electric vehicles (HEVs)?

Heffner, Reid R.; Kurani, Kenneth S; Turrentine, Tom

2005-01-01T23:59:59.000Z

295

Vehicle Technologies Office: Hybrid and Vehicle Systems | Department...  

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

Hybrid and Vehicle Systems Vehicle Technologies Office: Hybrid and Vehicle Systems Hybrid and vehicle systems research provides an overarching vehicle systems perspective to the...

296

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

E-Print Network [OSTI]

Polymer Electrolyte Fuel Cell Model, J. Electrochem. Soc. ,in Polymer Electrolyte Fuel Cells, J. Electrochem. Soc. ,Solid-Polymer- Electrolyte Fuel Cell, J. Electrochem. Soc. ,

Zhao, Hengbing; Burke, Andy

2008-01-01T23:59:59.000Z

297

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

298

2010 Asia-Pacific International Symposium on Aerospace Technology Control-oriented Modeling for Hypersonic Vehicle Control  

E-Print Network [OSTI]

for Hypersonic Vehicle Control Qingkai Wei, Xun Huang* College of Engineering, Peking University, Beijing, China. Abstract Hypersonic vehicles have great promising in civil and military application. The physics related to hypersonic flight is quite different from traditional aircraft, such as strong nonlinear, strong aerodynamic

Huang, Xun

299

Property:Buildings/ModelYear | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformationInyo County,InformationInformation Pellets JumpModelName Jump

300

Chevrolet Volt Vehicle Demonstration  

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

Chevrolet Volt Vehicle Demonstration Fleet Summary Report Reporting period: October 2011 through December 2011 Number of vehicles: 135 Number of vehicle days driven: 4,746 All...

Note: This page contains sample records for the topic "vehicles model years" 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

Applying Engineering and Fleet Detail to Represent Passenger Vehicle Transport in a Computable General Equilibrium Model  

E-Print Network [OSTI]

A well-known challenge in computable general equilibrium (CGE) models is to maintain correspondence between the forecasted economic and physical quantities over time. Maintaining such a correspondence is necessary to ...

Karplus, V.J.

302

Fuel-cycle greenhouse gas emissions impacts of alternative transportation fuels and advanced vehicle technologies.  

SciTech Connect (OSTI)

At an international conference on global warming, held in Kyoto, Japan, in December 1997, the United States committed to reduce its greenhouse gas (GHG) emissions by 7% over its 1990 level by the year 2012. To help achieve that goal, transportation GHG emissions need to be reduced. Using Argonne's fuel-cycle model, I estimated GHG emissions reduction potentials of various near- and long-term transportation technologies. The estimated per-mile GHG emissions results show that alternative transportation fuels and advanced vehicle technologies can help significantly reduce transportation GHG emissions. Of the near-term technologies evaluated in this study, electric vehicles; hybrid electric vehicles; compression-ignition, direct-injection vehicles; and E85 flexible fuel vehicles can reduce fuel-cycle GHG emissions by more than 25%, on the fuel-cycle basis. Electric vehicles powered by electricity generated primarily from nuclear and renewable sources can reduce GHG emissions by 80%. Other alternative fuels, such as compressed natural gas and liquefied petroleum gas, offer limited, but positive, GHG emission reduction benefits. Among the long-term technologies evaluated in this study, conventional spark ignition and compression ignition engines powered by alternative fuels and gasoline- and diesel-powered advanced vehicles can reduce GHG emissions by 10% to 30%. Ethanol dedicated vehicles, electric vehicles, hybrid electric vehicles, and fuel-cell vehicles can reduce GHG emissions by over 40%. Spark ignition engines and fuel-cell vehicles powered by cellulosic ethanol and solar hydrogen (for fuel-cell vehicles only) can reduce GHG emissions by over 80%. In conclusion, both near- and long-term alternative fuels and advanced transportation technologies can play a role in reducing the United States GHG emissions.

Wang, M. Q.

1998-12-16T23:59:59.000Z

303

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPCofConstructionofFY 2011 Report1: MarchDepartment of Energy

304

Fact #854 January 5, 2015 Driving Ranges for All-Electric Vehicles in Model  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPCofConstructionofFYOxide EmissionEconomy thanNew Light

305

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICEAmes LaboratoryAntonyaAppeals Appeals FOIA andPlease

306

Improving efficiency of a vehicle HVAC system with comfort modeling, zonal  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensionalthe U.S. Improving Fan System Performance a PumpingReduceddesign,

307

Generic vehicle speed models based on traffic simulation: Development and application  

SciTech Connect (OSTI)

This paper summarizes the findings of a research project to develop new methods of estimating speeds for inclusion in the Highway Performance Monitoring System (HPMS) Analytical Process. The paper focuses on the effects of traffic conditions excluding incidents (recurring congestion) on daily average ed and excess fuel consumption. A review of the literature revealed that many techniques have been used to predict speeds as a function of congestion but most fail to address the effects of queuing. However, the method of Dowling and Skabardonis avoids this limitation and was adapted to the research. The methodology used the FRESIM and NETSIM microscopic traffic simulation models to develop uncongested speed functions and as a calibration base for the congested flow functions. The chief contributions of the new speed models are the simplicity of application and their explicit accounting for the effects of queuing. Specific enhancements include: (1) the inclusion of a queue discharge rate for freeways; (2) use of newly defined uncongested flow speed functions; (3) use of generic temporal distributions that account for peak spreading; and (4) a final model form that allows incorporation of other factors that influence speed, such as grades and curves. The main limitation of the new speed models is the fact that they are based on simulation results and not on field observations. They also do not account for the effect of incidents on speed. While appropriate for estimating average national conditions, the use of fixed temporal distributions may not be suitable for analyzing specific facilities, depending on observed traffic patterns. Finally, it is recommended that these and all future speed models be validated against field data where incidents can be adequately identified in the data.

Margiotta, R.; Cohen, H.; Elkins, G.; Rathi, A.; Venigalla, M.

1994-12-15T23:59:59.000Z

308

Vehicle Technologies Office: AVTA - Electric Vehicle Community...  

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

Making plug-in electric vehicles (PEVs, also known as electric cars) as affordable and convenient as conventional vehicles, as described in the EV Everywhere Grand Challenge,...

309

Vehicle Technologies Office: Advanced Vehicle Testing Activity...  

Energy Savers [EERE]

initative. Together, these projects make up the largest ever deployment of all-electric vehicles, plug-in hybrid electric vehicles, and charging infrastructure in the...

310

Clean Cities 2014 Vehicle Buyer's Guide (Brochure)  

SciTech Connect (OSTI)

This annual guide features a comprehensive list of 2014 light-duty alternative fuel and advanced vehicles, grouped by fuel and technology. The guide provides model-specific information on vehicle specifications, manufacturer suggested retail price, fuel economy, energy impact, and emissions. The information can be used to identify options, compare vehicles, and help inform purchase decisions.

Not Available

2013-12-01T23:59:59.000Z

311

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...

312

What are the Starting Points? Evaluating Base-Year Assumptions in the Asian Modeling Exercise  

SciTech Connect (OSTI)

A common feature of model inter-comparison efforts is that the base year numbers for important parameters such as population and GDP can differ substantially across models. This paper explores the sources and implications of this variation in Asian countries across the models participating in the Asian Modeling Exercise (AME). Because the models do not all have a common base year, each team was required to provide data for 2005 for comparison purposes. This paper compares the year 2005 information for different models, noting the degree of variation in important parameters, including population, GDP, primary energy, electricity, and CO2 emissions. It then explores the difference in these key parameters across different sources of base-year information. The analysis confirms that the sources provide different values for many key parameters. This variation across data sources and additional reasons why models might provide different base-year numbers, including differences in regional definitions, differences in model base year, and differences in GDP transformation methodologies, are then discussed in the context of the AME scenarios. Finally, the paper explores the implications of base-year variation on long-term model results.

Chaturvedi, Vaibhav; Waldhoff, Stephanie; Clarke, Leon E.; Fujimori, Shinichiro

2012-12-01T23:59:59.000Z

313

AVTA: Hybrid-Electric Tractor Vehicles  

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 set of reports describes data collected from hybrid-electric tractor vehicles in the Coca-Cola fleet. This research was conducted by the National Renewable Energy Laboratory (NREL).

314

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...

315

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...

316

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...

317

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

318

Motor Vehicle Administration 6601 Ritchie Highway, N.E.  

E-Print Network [OSTI]

Motor Vehicle Administration 6601 Ritchie Highway, N.E. Glen Burnie, Maryland 21062 For more-Owner's Signature Vehicle Information Year Make Sticker No. Title No. Tag No. Vehicle Identification Number Car Multi-purpose vehicle Truck 1 ton or less Motorcycle Fees: Non Logo Organizational Tags: $15

Miami, University of

319

Parallel implementation and one year experiments with the Danish Euleian Model  

E-Print Network [OSTI]

-page: http://www.dmu.dk/AtmosphericEnvironment Abstract. Large scale air pollution models are powerful tools for air pollution modelling has been studied for years [8, 15]. An air pollution model is generally of chemical species (pollutants and other components of the air that interact with the pollutants) in a large

Dimov, Ivan

320

Vehicle technologies heavy vehicle program : FY 2008 benefits analysis, methodology and results --- final report.  

SciTech Connect (OSTI)

This report describes the approach to estimating the benefits and analysis results for the Heavy Vehicle Technologies activities of the Vehicle Technologies (VT) Program of EERE. The scope of the effort includes: (1) Characterizing baseline and advanced technology vehicles for Class 3-6 and Class 7 and 8 trucks, (2) Identifying technology goals associated with the DOE EERE programs, (3) Estimating the market potential of technologies that improve fuel efficiency and/or use alternative fuels, and (4) Determining the petroleum and greenhouse gas emissions reductions associated with the advanced technologies. In FY 08 the Heavy Vehicles program continued its involvement with various sources of energy loss as compared to focusing more narrowly on engine efficiency and alternative fuels. These changes are the result of a planning effort that first occurred during FY 04 and was updated in the past year. (Ref. 1) This narrative describes characteristics of the heavy truck market as they relate to the analysis, a description of the analysis methodology (including a discussion of the models used to estimate market potential and benefits), and a presentation of the benefits estimated as a result of the adoption of the advanced technologies. The market penetrations are used as part of the EERE-wide integrated analysis to provide final benefit estimates reported in the FY08 Budget Request. The energy savings models are utilized by the VT program for internal project management purposes.

Singh, M.; Energy Systems; TA Engineering

2008-02-29T23:59:59.000Z

Note: This page contains sample records for the topic "vehicles model years" 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

Development of a dedicated ethanol ultra-low-emissions vehicle (ULEV): Phase 3 report  

SciTech Connect (OSTI)

The objective of the 3.5 year project discussed in this report was to develop a commercially competitive vehicle powered by ethanol (or an ethanol blend) that can meet California`s Ultra Low Emissions Vehicle (ULEV) standards and equivalent Corporate Average Fuel Economy (CAFE) energy efficiency for a light duty passenger car application. This particular report summarizes the third phase of the project, which lasted 12 months. Emissions tests were conducted with advanced after-treatment devices on one of the two, almost identical, test vehicles, a 1993 Ford Taurus flexible fuel vehicle. The report also covers tests on the engine removed from the second Taurus vehicle. This engine was modified for an increased compression ratio, fitted with air assist injectors, and included an advanced engine control system with model-based control.

Dodge, L.; Callahan, T.; Leone, D.; Naegeli, D.; Shouse, K.; Smith, L.; Whitney, K. [Southwest Research Inst., San Antonio, TX (United States)] [Southwest Research Inst., San Antonio, TX (United States)

1998-04-01T23:59:59.000Z

322

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...

323

2010 DOE EERE Vehicle Technologies Program Merit Review - Vehicle...  

Energy Savers [EERE]

- Vehicle Systems Simulation and Testing 2010 DOE EERE Vehicle Technologies Program Merit Review - Vehicle Systems Simulation and Testing Vehicle systems research and development...

324

Hybrid and Plug-In Electric Vehicles (Brochure), Vehicle Technologies...  

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

Hybrid and Plug-In Electric Vehicles (Brochure), Vehicle Technologies Program (VTP) Hybrid and Plug-In Electric Vehicles (Brochure), Vehicle Technologies Program (VTP) Describes...

325

Vehicle Technologies Office Merit Review 2014: Electrochemical...  

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

Electrochemical Modeling of LMR-NMC Materials and Electrodes Presentation given by Argonne National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle...

326

Vehicle Electronics Exponential growth in automotive electronics as  

E-Print Network [OSTI]

1 Vehicle Electronics #12; Exponential growth in automotive electronics as measured by: 2 ­ Number from now: Factor of 10,000 Vehicle Electronics ­ Strategic Drivers #12;Vehicle Electronics ­ Strategic probability of causing a fatal accident translates to thousands of fatal accidents in a popular vehicle model

Duchowski, Andrew T.

327

Energy Efficiency in Heavy Vehicle Tires, Drivetrains, and Braking Systems  

SciTech Connect (OSTI)

This document was prepared to support the primary goals of the Department of Energy, Office of Heavy Vehicle Technologies. These were recently stated as follows: ''Develop by 2004 the enabling technologies for a class 7-8 truck with a fuel efficiency of 10 mpg (at 65 mph) which will meet prevailing emission standards. For Class 3-6 trucks operating on an urban driving cycle, develop by 2004 commercially viable vehicles that achieve at least double the fuel economy of comparable current vehicles (1999), and as a research goal, reduce criteria pollutants to 30% below EPA standards. Develop by 2004 the diesel engine enabling technologies to support large-scale industry dieselization of Class 1 and 2 trucks, achieving a 35 % fuel efficiency improvement over comparable gasoline-fueled trucks, while meeting applicable emissions standards.'' The enabling technologies for improving the fuel efficiency of trucks, include not only engine technologies but also technologies involved with lowering the rolling resistance of tires, reducing vehicle aerodynamic drag, improving thermal management, and reducing parasitic frictional losses in drive train components. Opportunities also exist for making better use of the energy that might ordinarily be dissipated during vehicle braking. Braking systems must be included in this evaluation since safety in truck operations is vital, and braking requirements are greater for vehicles having lowered resistance to rolling. The Office of Heavy Vehicle Technologies has initiated a program to improve the aerodynamics of heavy vehicles through wind tunnel testing, computational modeling, and on-road evaluations. That activity is described in a separate multi-year plan; therefore, emphasis in this document will be on tires, drive trains, and braking systems. Recent, dramatic fluctuations in diesel fuel prices have emphasized the importance of effecting savings in truck fuel economy by implementing new component designs and materials.

Peter J. Blau

2000-04-26T23:59:59.000Z

328

Vehicle Modeling and Simulation  

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

(L100km) NEDC Tunedline Route-Based Controlline NEDC Tunedpoint Route-Based Controlpoint -2% -2% Same RBC scheduling provides consistent savings across the range of...

329

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"

330

ESTIMATION OF ETHANOL CONTENT IN FLEX-FUEL VEHICLES USING AN EXHAUST GAS OXYGEN SENSOR: MODEL, TUNING AND SENSITIVITY  

E-Print Network [OSTI]

derivatives. Currently available flexible fuel vehicles (FFVs) can operate on a blend of gasoline and ethanol Estimated stoichiometric air-to-fuel ratio e Volume fraction of ethanol in gasoline-ethanol blend e Estimated volume fraction of ethanol in gasoline-ethanol blend Address all correspondence to annastef

Stefanopoulou, Anna

331

HapTouch and the 2+1 State Model: Potentials of Haptic Feedback on Touch Based In-Vehicle  

E-Print Network [OSTI]

-Vehicle Information Systems Hendrik Richter University of Munich hendrik.richter@ifi.lmu.de Ronald Ecker BMW Group Research and Technology ronald.ecker@bmw.de Christopher Deisler BMW Group Research and Technology christopher.deisler@bmw.de Andreas Butz University of Munich andreas.butz@ifi.lmu.de ABSTRACT Haptic feedback

332

Optimal planning and control for hazard avoidance of front-wheel steered ground vehicles  

E-Print Network [OSTI]

Hazard avoidance is an important capability for safe operation of robotic vehicles at high speed. It is also an important consideration for passenger vehicle safety, as thousands are killed each year in passenger vehicle ...

Peters, Steven C. (Steven Conrad)

2012-01-01T23:59:59.000Z

333

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...

334

Hydrogen Fuel Cell Vehicles  

E-Print Network [OSTI]

Hydrogen Fuel Cell Vehicles UCD-ITS-RR-92-14 September bycost than both. Solar-hydrogen fuel- cell vehicles would becost than both. Solar-hydrogen fuel- cell vehicles would be

Delucchi, Mark

1992-01-01T23:59:59.000Z

335

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

336

Vehicle Technologies Office Merit Review 2014: Significant Enhancement...  

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

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

337

Nano-Continuum Modeling of a Nuclear Glass Specimen Altered for 25 Years  

SciTech Connect (OSTI)

The purpose of this contribution is to report on preliminary nano-continuum scale modeling of nuclear waste glass corrosion. The focus of the modeling is an experiment involving a French glass SON68 specimen leached for 25 years in a granitic environment. In this report, we focus on capturing the nano-scale concentration profiles. We use a high resolution continuum model with a constant grid spacing of 1 nanometer to investigate the glass corrosion mechanisms.

Steefel, Carl

2014-01-06T23:59:59.000Z

338

Characteristics RSE Column Factor: All Vehicle Types  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles by Model

339

Fuel Prices and New Vehicle Fuel Economy in Europe  

E-Print Network [OSTI]

This paper evaluates the effect of fuel prices on new vehicle fuel economy in the eight largest European markets. The analysis spans the years 2002–2007 and uses detailed vehicle registration and specification data to ...

Klier, Thomas

340

Feasibility of Thermoelectrics for Waste Heat Recovery in Conventional Vehicles  

SciTech Connect (OSTI)

Thermoelectric (TE) generators convert heat directly into electricity when a temperature gradient is applied across junctions of two dissimilar metals. The devices could increase the fuel economy of conventional vehicles by recapturing part of the waste heat from engine exhaust and generating electricity to power accessory loads. A simple vehicle and engine waste heat model showed that a Class 8 truck presents the least challenging requirements for TE system efficiency, mass, and cost; these trucks have a fairly high amount of exhaust waste heat, have low mass sensitivity, and travel many miles per year. These factors help maximize fuel savings and economic benefits. A driving/duty cycle analysis shows strong sensitivity of waste heat, and thus TE system electrical output, to vehicle speed and driving cycle. With a typical alternator, a TE system could allow electrification of 8%-15% of a Class 8 truck's accessories for 2%-3% fuel savings. More research should reduce system cost and improve economics.

Smith, K.; Thornton, M.

2009-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "vehicles model years" 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

Plug-in Hybrid Electric Vehicle Fuel Use Reporting Methods and Results  

SciTech Connect (OSTI)

The Plug-in Hybrid Electric Vehicle (PHEV) Fuel Use Reporting Methods and Results report provides real world test results from PHEV operations and testing in 20 United States and Canada. Examples are given that demonstrate the significant variations operational parameters can have on PHEV petroleum use. In addition to other influences, PHEV mpg results are significantly impacted by driver aggressiveness, cold temperatures, and whether or not the vehicle operator has charged the PHEV battery pack. The U.S. Department of Energy’s (DOE’s) Advanced Vehicle Testing Activity (AVTA) has been testing plug-in hybrid electric vehicles (PHEVs) for several years. The AVTA http://avt.inl.gov/), which is part of DOE’s Vehicle Technology Program, also tests other advanced technology vehicles, with 12 million miles of total test vehicle and data collection experience. The Idaho National Laboratory is responsible for conducting the light-duty vehicle testing of PHEVs. Electric Transportation Engineering Corporation also supports the AVTA by conducting PHEV and other types of testing. To date, 12 different PHEV models have been tested, with more than 600,000 miles of PHEV operations data collected.

James E. Francfort

2009-07-01T23:59:59.000Z

342

Electric Vehicle Site Operator Program  

SciTech Connect (OSTI)

Kansas State University, with funding support from federal, state, public, and private companies, is participating in the Department of Energy's Electric Vehicle Site Operator Program. Through participation is this program, Kansas State is demonstrating, testing, and evaluating electric or hybrid vehicle technology. This participation will provide organizations the opportunity to examine the latest EHV prototypes under actual operating conditions. KSU proposes to purchase one (1) electric or hybrid van and four (4) electric cars during the first two years of this five year program. KSU has purchased one G-Van built by Conceptor Industries, Toronto, Canada and has initiated a procurement order to purchase two (2) Soleq 1992 Ford EVcort stationwagons.

Not Available

1992-01-01T23:59:59.000Z

343

Vehicles | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500IIVasudha Patri MechanicalofVehicles - ORNL inverter

344

Vehicle Technologies Office News  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' Research PetroleumDepartment of Energy KavehHeavy Vehicle FuelCombustion

345

U.S. Shared-Use Vehicle Survey Findings on Carsharing and Station Car Growth  

E-Print Network [OSTI]

auto insurance for nonprofit car- sharing organizations. Theuse vehicle model. Car- sharing typically aims to assess

Shaheen, Susan

2004-01-01T23:59:59.000Z

346

Commercial Motor Vehicle Brake Assessment Tools  

E-Print Network [OSTI]

Commercial Motor Vehicle Brake Assessment Tools Commercial Motor Vehicle Roadside Technology to deceleration in g's ­ Passing score: BE43.5 · Enforcement tool for only 3 years. · Based solely on brake Brake Research · CMVRTC research built on these enforcement tools ­ Correlation Study ­ Level-1 / PBBT

347

Trends in on-road vehicle emissions of ammonia  

SciTech Connect (OSTI)

Motor vehicle emissions of ammonia have been measured at a California highway tunnel in the San Francisco Bay area. Between 1999 and 2006, light-duty vehicle ammonia emissions decreased by 38 {+-} 6%, from 640 {+-} 40 to 400 {+-} 20 mg kg{sup -1}. High time resolution measurements of ammonia made in summer 2001 at the same location indicate a minimum in ammonia emissions correlated with slower-speed driving conditions. Variations in ammonia emission rates track changes in carbon monoxide more closely than changes in nitrogen oxides, especially during later evening hours when traffic speeds are highest. Analysis of remote sensing data of Burgard et al. (Environ Sci. Technol. 2006, 40, 7018-7022) indicates relationships between ammonia and vehicle model year, nitrogen oxides, and carbon monoxide. Ammonia emission rates from diesel trucks were difficult to measure in the tunnel setting due to the large contribution to ammonia concentrations in a mixed-traffic bore that were assigned to light-duty vehicle emissions. Nevertheless, it is clear that heavy-duty diesel trucks are a minor source of ammonia emissions compared to light-duty gasoline vehicles.

Kean, A.J.; Littlejohn, D.; Ban-Weiss, G.A.; Harley, R.A.; Kirchstetter, T.W.; Lunden, M. M.

2008-07-15T23:59:59.000Z

348

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...

349

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...

350

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...

351

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.

352

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

353

Alternative Fuel Vehicle Data  

Reports and Publications (EIA)

Annual data released on the number of on-road alternative fuel vehicles and hybrid vehicles made available by both the original equipment manufacturers and aftermarket vehicle conversion facilities. Data on the use of alternative fueled vehicles and the amount of fuel they consume is also available.

2013-01-01T23:59:59.000Z

354

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

355

AVTA: Hybrid-Electric Delivery Vehicles  

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 set of reports describes data collected from testing on FedEx Express and UPS hybrid-electric delivery trucks. This research was conducted by the National Renewable Energy Laboratory (NREL).

356

AVTA: 2010 Electric Vehicles International Neighborhood Electric...  

Energy Savers [EERE]

10 Electric Vehicles International Neighborhood Electric Vehicle Testing Results AVTA: 2010 Electric Vehicles International Neighborhood Electric Vehicle Testing Results The...

357

An Econometric Analysis of the Elasticity of Vehicle Travel with Respect to Fuel Cost per Mile Using RTEC Survey Data  

SciTech Connect (OSTI)

This paper presents the results of econometric estimation of the ''rebound effect'' for household vehicle travel in the United States based on a comprehensive analysis of survey data collected by the U.S. Energy Information Administration (EIA) at approximately three-year intervals over a 15-year period. The rebound effect is defined as the percent change in vehicle travel for a percent change in fuel economy. It summarizes the tendency to ''take back'' potential energy savings due to fuel economy improvements in the form of increased vehicle travel. Separate vehicles use models were estimated for one-, two-, three-, four-, and five-vehicle households. The results are consistent with the consensus of recently published estimates based on national or state-level data, which show a long-run rebound effect of about +0.2 (a ten percent increase in fuel economy, all else equal, would produce roughly a two percent increase in vehicle travel and an eight percent reduction in fuel use). The hypothesis that vehicle travel responds equally to changes in fuel cost-per-mile whether caused by changes in fuel economy or fuel price per gallon could not be rejected. Recognizing the interdependency in survey data among miles of travel, fuel economy and price paid for fuel for a particular vehicle turns out to be crucial to obtaining meaningful results.

Greene, D.L.; Kahn, J.; Gibson, R.

1999-03-01T23:59:59.000Z

358

Modelling West Antarctic ice sheet growth and collapse through the past five million years  

E-Print Network [OSTI]

, isolated ice caps on West Antarctic islands. Transitions between glacial, intermediate and collapsed states temperature and specified sea level. A new parameterization of sub- ice-shelf ocean melt based on modernLETTERS Modelling West Antarctic ice sheet growth and collapse through the past five million years

359

Author manuscript, published in "International Conference on Information Fusion (2013)" An Ontology-based Model to Determine the Automation Level of an Automated Vehicle for Co-Driving  

E-Print Network [OSTI]

Abstract—Full autonomy of ground vehicles is a major goal of the ITS (Intelligent Transportation Systems) community. However, reaching such highest autonomy level in all situations (weather, traffic,...) may seem difficult in practice, despite recent results regarding driverless cars (e.g., Google Cars). In addition, an automated vehicle should also self-assess its own perception abilities, and not only perceive its environment. In this paper, we propose an intermediate approach towards full automation, by defining a spectrum of automation layers, from fully manual (the car is driven by a driver) to fully automated (the car is driven by a computer), based on an ontological model for representing knowledge. We also propose a second ontology for situation assessment (what does the automated car perceive?), including the sensors/actuators state, environmental conditions and driver’s state. Finally, we also define inference rules to link the situation assessment ontology to the automation level one. Both ontological models have been built and first results are presented. I.

Evangeline Pollard; Fawzi Nashashibi

2013-01-01T23:59:59.000Z

360

Lie Group Integrators for Animation and Control of Vehicles  

E-Print Network [OSTI]

.8 [Simulation and Modeling]: Animation 1. INTRODUCTION A vehicle is an actuated mechanical system that moves animation for which a plethora of techniques are available. Additionally, human familiarity with vehicles simulation appears simple: a vehicle is easily modeled by its pose in the world and a set of internal

Desbrun, Mathieu

Note: This page contains sample records for the topic "vehicles model years" 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

AGGREGATION ALGORITHMS IN A VEHICLE-TO-VEHICLE-TO-  

E-Print Network [OSTI]

-to-infrastructure (V2V2I) architecture, which is a hybrid of the vehicle-to-vehicle (V2V) and vehicle proposing is a hybrid of the V2I and V2V architectures, which is the vehicle-to-vehicle-to-infrastructure (VAGGREGATION ALGORITHMS IN A VEHICLE-TO-VEHICLE-TO- INFRASTRUCTURE (V2V2I) INTELLIGENT

Miller, Jeffrey A.

362

Biofuels, Climate Policy and the European Vehicle Fleet  

E-Print Network [OSTI]

We examine the effect of biofuels mandates and climate policy on the European vehicle fleet, considering the prospects for diesel and gasoline vehicles. We use the MIT Emissions Prediction and Policy Analysis (EPPA) model, ...

Rausch, Sebastian

363

MathCAD model for the estimation of cost and main characteristics of air-cushion vehicles in the preliminary design stage  

E-Print Network [OSTI]

In the naval architecture terminology, the term ACV (Air Cushion Vehicle) refers to this category of vehicles, in which a significant portion of the weight (or all the weight) is supported by forces arising from air pressures ...

Gougoulidis, Georgios

2005-01-01T23:59:59.000Z

364

Summary of in situ vitrification modeling and analysis accomplishments for fiscal year 1991  

SciTech Connect (OSTI)

The in situ vitrification (ISV) modeling activities encompass a variety of both modeling development efforts and analysis applications in support of the ISV project. The model development effort is directed toward modifying or developing a set of computer codes to simulate the ISV process. These codes are used to perform safety and environmental hazards analyses, assist in experimental test planning and design, assist in equipment design and development of operating procedures, and provide enhanced understanding of the ISV process. This report presents a summary description of the accomplishments in Fiscal Year 1991 for both the model development and analysis areas. Brief descriptions of the models that were developed and the more important conclusions from the analytical studies are presented.

Slater, C.E.

1991-11-01T23:59:59.000Z

365

Vehicle Technologies Office: 2012 Vehicle and Systems Simulation...  

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

vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. 2012vsstreport.pdf More Documents & Publications Vehicle Technologies Office:...

366

Vehicle Technologies Office: 2011 Vehicle and Systems Simulation...  

Energy Savers [EERE]

vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. 2011vsstreport.pdf More Documents & Publications Vehicle Technologies Office:...

367

DOE Vehicle Technologies Program 2009 Merit Review Report - Vehicle...  

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

1.pdf More Documents & Publications DOE Vehicle Technologies Program 2009 Merit Review Report DOE Vehicle Technologies Program 2009 Merit Review Report - Energy Storage DOE Vehicle...

368

Effects of Vehicle Image in Gasoline-Hybrid Electric Vehicles  

E-Print Network [OSTI]

The Images of Hybrid Vehicles Each of the householdsbetween hybrid and non-hybrid vehicles was observed in smallowned Honda Civic Hybrids, vehicles that are virtually

Heffner, Reid R.; Kurani, Kenneth S; Turrentine, Tom

2005-01-01T23:59:59.000Z

369

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...

370

Transportation Center Seminar "Electric Vehicle Recharging: Decision Support  

E-Print Network [OSTI]

Transportation Center Seminar "Electric Vehicle Recharging: Decision Support Tools for Drivers Conference Center Refreshments available at 3:30 pm Abstract: Plug-in electric vehicles (PEVs) have become a practical and affordable alternative in recent years to conventional gasoline-powered vehicles

Bustamante, Fabián E.

371

AVTA: ARRA EV Project Vehicle Placement Maps  

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 American Recovery and Reinvestment Act supported a number of projects that together made up the largest ever deployment of plug-in electric vehicles and charging infrastructure in the U.S. The following maps describe where the EV Project deployed 5,700 all-electric Nissan Leafs and 2,600 plug-in hybrid electric Chevrolet Volts.

372

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.

373

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...

374

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...

375

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...

376

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...

377

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...

378

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...

379

Vehicle Technologies Office Merit Review 2014: CLEERS: Aftertreatment...  

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

CLEERS: Aftertreatment Modeling and Analysis Vehicle Technologies Office Merit Review 2014: CLEERS: Aftertreatment Modeling and Analysis Presentation given by Pacific Northwest...

380

2010 Vehicle Technologies Market Report  

SciTech Connect (OSTI)

In the past five years, vehicle technologies have advanced on a number of fronts: power-train systems have become more energy efficient, materials have become more lightweight, fuels are burned more cleanly, and new hybrid electric systems reduce the need for traditional petroleum-fueled propulsion. This report documents the trends in market drivers, new vehicles, and component suppliers. This report is supported by the U.S. Department of Energy s (DOE s) Vehicle Technologies Program, which develops energy-efficient and environmentally friendly transportation technologies that will reduce use of petroleum in the United States. The long-term aim is to develop "leap frog" technologies that will provide Americans with greater freedom of mobility and energy security, while lowering costs and reducing impacts on the environment.

Ward, Jacob [U.S. Department of Energy; Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL

2011-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "vehicles model years" 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

2008 Vehicle Technologies Market Report  

SciTech Connect (OSTI)

In the past five years, vehicle technologies have advanced on a number of fronts: power-train systems have become more energy efficient, materials have become more lightweight, fuels are burned more cleanly, and new hybrid electric systems reduce the need for traditional petroleum-fueled propulsion. This report documents the trends in market drivers, new vehicles, and component suppliers. This report is supported by the Department of Energy's (DOE's) Vehicle Technologies Program, which develops energy-efficient and environmentally friendly highway transportation technologies that will reduce use of petroleum in the United States. The long-term aim is to develop 'leap frog' technologies that will provide Americans with greater freedom of mobility and energy security, while lowering costs and reducing impacts on the environment.

Ward, J.; Davis, S.

2009-07-01T23:59:59.000Z

382

Vehicle to Grid Demonstration Project  

SciTech Connect (OSTI)

This report summarizes the activities and accomplishments of a two-year DOE-funded project on Grid-Integrated Vehicles (GIV) with vehicle to grid power (V2G). The project included several research and development components: an analysis of US driving patterns; an analysis of the market for EVs and V2G-capable EVs; development and testing of GIV components (in-car and in-EVSE); interconnect law and policy; and development and filing of patents. In addition, development activities included GIV manufacturing and licensing of technologies developed under this grant. Also, five vehicles were built and deployed, four for the fleet of the State of Delaware, plus one for the University of Delaware fleet.

Willett Kempton; Meryl Gardner; Michael Hidrue; Fouad Kamilev; Sachin Kamboj; Jon Lilley; Rodney McGee; George Parsons; Nat Pearre; Keith Trnka

2010-12-31T23:59:59.000Z

383

Variability of Battery Wear in Light Duty Plug-In Electric Vehicles Subject to Ambient Temperature, Battery Size, and Consumer Usage: Preprint  

SciTech Connect (OSTI)

Battery wear in plug-in electric vehicles (PEVs) is a complex function of ambient temperature, battery size, and disparate usage. Simulations capturing varying ambient temperature profiles, battery sizes, and driving patterns are of great value to battery and vehicle manufacturers. A predictive battery wear model developed by the National Renewable Energy Laboratory captures the effects of multiple cycling and storage conditions in a representative lithium chemistry. The sensitivity of battery wear rates to ambient conditions, maximum allowable depth-of-discharge, and vehicle miles travelled is explored for two midsize vehicles: a battery electric vehicle (BEV) with a nominal range of 75 mi (121 km) and a plug-in hybrid electric vehicle (PHEV) with a nominal charge-depleting range of 40 mi (64 km). Driving distance distributions represent the variability of vehicle use, both vehicle-to-vehicle and day-to-day. Battery wear over an 8-year period was dominated by ambient conditions for the BEV with capacity fade ranging from 19% to 32% while the PHEV was most sensitive to maximum allowable depth-of-discharge with capacity fade ranging from 16% to 24%. The BEV and PHEV were comparable in terms of petroleum displacement potential after 8 years of service, due to the BEV?s limited utility for accomplishing long trips.

Wood, E.; Neubauer, J.; Brooker, A. D.; Gonder, J.; Smith, K. A.

2012-08-01T23:59:59.000Z

384

Vehicle Technologies and Bus Fleet Replacement Optimization  

E-Print Network [OSTI]

1 Vehicle Technologies and Bus Fleet Replacement Optimization: problem properties and sensitivity: R41 #12;2 Abstract This research presents a bus fleet replacement optimization model to analyze hybrid and conventional diesel vehicles, are studied. Key variables affecting optimal bus type

Bertini, Robert L.

385

Vehicle Registration Card Use this form to register a vehicle with Parking Services. Complete this form and deliver to Parking Services along with a copy of  

E-Print Network [OSTI]

Vehicle Registration Card Use this form to register a vehicle with Parking Services. Complete this form and deliver to Parking Services along with a copy of your DMV Vehicle Registration. Last First Name M.I. Mailing City State ZIP University ID Student Sta Faculty Other Vehicle License State Year

Ickert-Bond, Steffi

386

Vehicle Registration Card Use this form to register a vehicle with Parking Services. Complete this form and deliver to Parking Services along with a copy of  

E-Print Network [OSTI]

Vehicle Registration Card Use this form to register a vehicle with Parking Services. Complete this form and deliver to Parking Services along with a copy of your DMV Vehicle Registration. Last First Name M.I. Mailing City State ZIP University ID Student Staff Faculty Other Vehicle License State Year

Ickert-Bond, Steffi

387

The Case for Electric Vehicles  

E-Print Network [OSTI]

land Press, 1995 TESTING ELECTRIC VEHICLE DEMAND IN " HYBRIDThe Case for Electric Vehicles DanieI Sperlmg Reprint UCTCor The Case for Electric Vehicles Darnel Sperling Institute

Sperling, Daniel

2001-01-01T23:59:59.000Z

388

Electric Vehicle Smart Charging Infrastructure  

E-Print Network [OSTI]

for Multiplexed Electric Vehicle Charging”, US20130154561A1,Chynoweth, ”Intelligent Electric Vehicle Charging System”,of RFID Mesh Network for Electric Vehicle Smart Charging

Chung, Ching-Yen

2014-01-01T23:59:59.000Z

389

Coordinating Automated Vehicles via Communication  

E-Print Network [OSTI]

1.1 Vehicle Automation . . . . . . . . . . . 1.1.1 Controlareas of technology in vehicle automation and communicationChapter 1 Introduction Vehicle Automation Automation is an

Bana, Soheila Vahdati

2001-01-01T23:59:59.000Z

390

Vehicle Technologies Office: AVTA - Diesel Internal Combusion...  

Energy Savers [EERE]

Vehicle Technologies Office: AVTA - Diesel Internal Combusion Engine Vehicles Vehicle Technologies Office: AVTA - Diesel Internal Combusion Engine Vehicles The Advanced Vehicle...

391

A Mathematical Model for Evaluating the Conversion of High Occupancy Vehicle Lane to High Occupancy/ Toll Lane  

E-Print Network [OSTI]

over three years. The capital cost estimate from MTC was putprocess (MTC estimates the capital cost of putting an HOT

Naga, Raghavender P

2007-01-01T23:59:59.000Z

392

Black liquor combustion validated recovery boiler modeling, five-year report  

SciTech Connect (OSTI)

The objective of this project was to develop a new computer model of a recovery boiler furnace using a computational fluid dynamics (CFD) code specifically tailored to the requirements for solving recovery boiler flows, and using improved submodels for black liquor combustion based on continued laboratory fundamental studies. The project originated in October 1990 and was scheduled to run for four years. At that time, there was considerable emphasis on developing accurate predictions of the physical carryover of macroscopic particles of partially burnt black liquor and smelt droplets out of the furnace, since this was seen as the main cause of boiler plugging. This placed a major emphasis on gas flow patterns within the furnace and on the mass loss rates and swelling and shrinking rates of burning black liquor drops. As work proceeded on developing the recovery boiler furnace model, it became apparent that some recovery boilers encounter serious plugging problems even when physical carryover was minimal. After the original four-year period was completed, the project was extended to address this issue. The objective of the extended project was to improve the utility of the models by including the black liquor chemistry relevant to air emissions predictions and aerosol formation, and by developing the knowledge base and computational tools to relate furnace model outputs to fouling and plugging of the convective sections of the boilers. The work done to date includes CFD model development and validation, acquisition of information on black liquor combustion fundamentals and development of improved burning models, char bed model development, and model application and simplification.

Grace, T.M.; Frederick, W.J.; Salcudean, M.; Wessel, R.A.

1996-08-01T23:59:59.000Z

393

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

E-Print Network [OSTI]

VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase ____________________________ Week Ended (Sunday) _________________ Door #____________ License Plate ____________________ Vehicle/Supplies (Enter Description such as grade sheets, artifacts, money, etc.) 6. Taking vehicle to Automotive Shop

Yang, Zong-Liang

394

Electric Vehicle Charging Stations, Coming Soon to a City Near...  

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

to be available throughout the Orlando area next year. File photo Orlando Plugs into Electric Vehicle Charging Stations Assistant Secretary Patricia Hoffman test drives the...

395

Intelligent pothole repair vehicle  

E-Print Network [OSTI]

This thesis presents an endeavor to design and construct a prototype of an automated road repair vehicle called the Intelligent Pothole Repair Vehicle (IPRV). The IPRV is capable of automatically detecting and filling potholes on road surfaces...

Minocher Homji, Ruzbeh Adi

2006-10-30T23:59:59.000Z

396

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

397

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

398

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

399

2011 Vehicle Technologies Market Report  

SciTech Connect (OSTI)

This report details the major trends in U.S. light-duty vehicle and medium/heavy truck markets as well as the underlying trends that caused them. This report is supported by the U.S. Department of Energy s (DOE) Vehicle Technologies Program (VTP), and, in accord with its mission, pays special attention to the progress of high-efficiency and alternative-fuel technologies. This third edition since this report was started in 2008 offers several marked improvements relative to its predecessors. Most significantly, where earlier editions of this report focused on supplying information through an examination of market drivers, new vehicle trends, and supplier data, this edition uses a different structure. After opening with a discussion of energy and economics, this report features a section each on the light-duty vehicle and heavy/medium truck markets, and concluding with a section each on technology and policy. In addition to making this sectional re-alignment, this year s edition of the report also takes a different approach to communicating information. While previous editions relied heavily on text accompanied by auxiliary figures, this third edition relies primarily on charts and graphs to communicate trends. Any accompanying text serves to introduce the trends communication by the graphic and highlight any particularly salient observations. The opening section on Energy and Economics discusses the role of transportation energy and vehicle markets on a national (and even international) scale. For example, Figures 11 through 13 discuss the connections between global oil prices and U.S. GDP, and Figures 20 and 21 show U.S. employment in the automotive sector. The following section examines Light-Duty Vehicle use, markets, manufacture, and supply chains. Figures 26 through 33 offer snapshots of major light-duty vehicle brands in the U.S. and Figures 38 through 43 examine the performance and efficiency characteristics of vehicles sold. The discussion of Medium and Heavy Trucks offers information on truck sales (Figures 58 through 61) and fuel use (Figures 64 through 66). The Technology section offers information on alternative fuel vehicles and infrastructure (Figures 68 through 77), and the Policy section concludes with information on recent, current, and near-future Federal policies like the Cash for Clunkers program (Figures 87 and 88) and the Corporate Automotive Fuel Economy standard (Figures 90 through 99) and. In total, the information contained in this report is intended to communicate a fairly complete understanding of U.S. highway transportation energy through a series of easily digestible nuggets.

Davis, Stacy Cagle [ORNL; Boundy, Robert Gary [ORNL; Diegel, Susan W [ORNL

2012-02-01T23:59:59.000Z

400

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

Note: This page contains sample records for the topic "vehicles model years" 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

Fact #770: March 11, 2013 Changes to the Top Ten Vehicles Sold...  

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

70: March 11, 2013 Changes to the Top Ten Vehicles Sold over the Last Five Years Fact 770: March 11, 2013 Changes to the Top Ten Vehicles Sold over the Last Five Years When...

402

U.S. Department of Energy Fleet Alternative Fuel Vehicle Acquisition...  

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

Fleet Alternative Fuel Vehicle Acquisition Report for Fiscal Year 2008 U.S. Department of Energy Fleet Alternative Fuel Vehicle Acquisition Report for Fiscal Year 2008 U.S....

403

Automated Vehicle-to-Vehicle Collision Avoidance at Intersections  

E-Print Network [OSTI]

Automated Vehicle-to-Vehicle Collision Avoidance at Intersections M. R. Hafner1 , D. Cunningham2 on modified Lexus IS250 test vehicles. The system utilizes vehicle-to-vehicle (V2V) Dedicated Short the velocities of both vehicles with automatic brake and throttle commands. Automatic commands can never cause

Del Vecchio, Domitilla

404

Motor Vehicle Record Procedure Objective  

E-Print Network [OSTI]

Motor Vehicle Record Procedure Objective Outline the procedure for obtaining motor vehicle record (MVR) through Fleet Services. Vehicle Operator Policy 3. Operators with 7 or more points on their motor vehicle record

Kirschner, Denise

405

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.

406

Washington State Electric Vehicle  

E-Print Network [OSTI]

Washington State Electric Vehicle Implementation Bryan Bazard Maintenance and Alternate Fuel Technology Manager #12;Executive Order 14-04 Requires the procurement of electric vehicles where and equipment with electricity or biofuel to the "extent practicable" by June 2015 1. The vehicle is due

California at Davis, University of

407

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

408

Automotive vehicle sensors  

SciTech Connect (OSTI)

This report is an introduction to the field of automotive vehicle sensors. It contains a prototype data base for companies working in automotive vehicle sensors, as well as a prototype data base for automotive vehicle sensors. A market analysis is also included.

Sheen, S.H.; Raptis, A.C.; Moscynski, M.J.

1995-09-01T23:59:59.000Z

409

Modeling the Office of Science Ten Year FacilitiesPlan: The PERI Architecture Tiger Team  

SciTech Connect (OSTI)

The Performance Engineering Institute (PERI) originally proposed a tiger team activity as a mechanism to target significant effort to the optimization of key Office of Science applications, a model that was successfully realized with the assistance of two JOULE metric teams. However, the Office of Science requested a new focus beginning in 2008: assistance in forming its ten year facilities plan. To meet this request, PERI formed the Architecture Tiger Team, which is modeling the performance of key science applications on future architectures, with S3D, FLASH and GTC chosen as the first application targets. In this activity, we have measured the performance of these applications on current systems in order to understand their baseline performance and to ensure that our modeling activity focuses on the right versions and inputs of the applications. We have applied a variety of modeling techniques to anticipate the performance of these applications on a range of anticipated systems. While our initial findings predict that Office of Science applications will continue to perform well on future machines from major hardware vendors, we have also encountered several areas in which we must extend our modeling techniques in order to fulfill our mission accurately and completely. In addition, we anticipate that models of a wider range of applications will reveal critical differences between expected future systems, thus providing guidance for future Office of Science procurement decisions, and will enable DOE applications to exploit machines in future facilities fully.

de Supinski, B R; Alam, S R; Bailey, D H; Carrington, L; Daley, C

2009-05-27T23:59:59.000Z

410

Mobility chains analysis of technologies for passenger cars and light duty vehicles fueled with biofuels : application of the Greet model to project the role of biomass in America's energy future (RBAEF) project.  

SciTech Connect (OSTI)

The Role of Biomass in America's Energy Future (RBAEF) is a multi-institution, multiple-sponsor research project. The primary focus of the project is to analyze and assess the potential of transportation fuels derived from cellulosic biomass in the years 2015 to 2030. For this project, researchers at Dartmouth College and Princeton University designed and simulated an advanced fermentation process to produce fuel ethanol/protein, a thermochemical process to produce Fischer-Tropsch diesel (FTD) and dimethyl ether (DME), and a combined heat and power plant to co-produce steam and electricity using the ASPEN Plus{trademark} model. With support from the U.S. Department of Energy (DOE), Argonne National Laboratory (ANL) conducted, for the RBAEF project, a mobility chains or well-to-wheels (WTW) analysis using the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model developed at ANL. The mobility chains analysis was intended to estimate the energy consumption and emissions associated with the use of different production biofuels in light-duty vehicle technologies.

Wu, M.; Wu, Y.; Wang, M; Energy Systems

2008-01-31T23:59:59.000Z

411

A Loop Material Flow System Design for Automated Guided Vehicles  

E-Print Network [OSTI]

A Loop Material Flow System Design for Automated Guided Vehicles Ardavan Asef-Vaziri 1 Maged load automated guided vehicles. The model simultaneously determines both the design are attributed to material handling (Tompkins et al., 1996). Automated guided vehicles (AGVs) are among

Dessouky, Maged

412

Property and Facilities Division VEHICLE PURCHASING & DISPOSAL REQUISITION PF330  

E-Print Network [OSTI]

: Garaging Information: Vehicle Details Vehicle Make: Model: Vehicle Body Type: Sedan, Wagon, Utility Drive Account Project ID Free Form Tag Place operational account i.e. fuel , servicing, registration costs below: Operational Unit Site Fund Code Function Expense Account Project ID Free Form Tag Completed and authorised PF

Blows, Mark

413

SYSTEM IDENTIFICATION OF UNDERWATER VEHICLES Javier Pereira and Alec Duncan  

E-Print Network [OSTI]

.duncan@cmst.curtin.edu.au Abstract - Unmanned underwater vehicles (UUV's) are used in a number of applications such as pipelineSYSTEM IDENTIFICATION OF UNDERWATER VEHICLES Javier Pereira and Alec Duncan Australian Maritime hydrodynamic derivative measurements from sea trials using an underwater vehicle which is a half-scale model

414

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

415

Make Model SPECS ACURA ILX (Model Year 2013) 2.0L 4, auto stk [P] ULEV II / Bin 5 45  

E-Print Network [OSTI]

II / Bin 5 42 BMW 328i (Model Year 2013) 2.0L 4, auto stk [P] Bin 5 / ULEV II 42 BMW 328i (Model Year 2013) 2.0L 4, manual [P] ULEV II / Bin 5 43 BMW 328i XDRIVE (Model Year 2013) 2.0L 4, auto stk Awd [P] ULEV II / Bin 5 41 BMW 335i (Model Year 2013) 3.0L 6, auto stk [P] ULEV II / Bin 5 41 BMW 528i (Model

416

Household Vehicles Energy Consumption 1991  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A. Vehicle

417

Household Vehicles Energy Consumption 1991  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A. Vehicle

418

Household Vehicles Energy Consumption 1991  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A. Vehicle

419

Comparative analysis of selected fuel cell vehicles  

SciTech Connect (OSTI)

Vehicles powered by fuel cells operate more efficiently, more quietly, and more cleanly than internal combustion engines (ICEs). Furthermore, methanol-fueled fuel cell vehicles (FCVs) can utilize major elements of the existing fueling infrastructure of present-day liquid-fueled ICE vehicles (ICEVs). DOE has maintained an active program to stimulate the development and demonstration o fuel cell technologies in conjunction with rechargeable batteries in road vehicles. The purpose of this study is to identify and assess the availability of data on FCVs, and to develop a vehicle subsystem structure that can be used to compare both FCVs and ICEV, from a number of perspectives--environmental impacts, energy utilization, materials usage, and life cycle costs. This report focuses on methanol-fueled FCVs fueled by gasoline, methanol, and diesel fuel that are likely to be demonstratable by the year 2000. The comparative analysis presented covers four vehicles--two passenger vehicles and two urban transit buses. The passenger vehicles include an ICEV using either gasoline or methanol and an FCV using methanol. The FCV uses a Proton Exchange Membrane (PEM) fuel cell, an on-board methanol reformer, mid-term batteries, and an AC motor. The transit bus ICEV was evaluated for both diesel and methanol fuels. The transit bus FCV runs on methanol and uses a Phosphoric Acid Fuel Cell (PAFC) fuel cell, near-term batteries, a DC motor, and an on-board methanol reformer. 75 refs.

NONE

1993-05-07T23:59:59.000Z

420

DOE Project on Heavy Vehicle Aerodynamic Drag  

SciTech Connect (OSTI)

Class 8 tractor-trailers consume 11-12% of the total US petroleum use. At highway speeds, 65% of the energy expenditure for a Class 8 truck is in overcoming aerodynamic drag. The project objective is to improve fuel economy of Class 8 tractor-trailers by providing guidance on methods of reducing drag by at least 25%. A 25% reduction in drag would present a 12% improvement in fuel economy at highway speeds, equivalent to about 130 midsize tanker ships per year. Specific goals include: (1) Provide guidance to industry in the reduction of aerodynamic drag of heavy truck vehicles; (2) Develop innovative drag reducing concepts that are operationally and economically sound; and (3) Establish a database of experimental, computational, and conceptual design information, and demonstrate the potential of new drag-reduction devices. The studies described herein provide a demonstration of the applicability of the experience developed in the analysis of the standard configuration of the Generic Conventional Model. The modeling practices and procedures developed in prior efforts have been applied directly to the assessment of new configurations including a variety of geometric modifications and add-on devices. Application to the low-drag 'GTS' configuration of the GCM has confirmed that the error in predicted drag coefficients increases as the relative contribution of the base drag resulting from the vehicle wake to the total drag increases and it is recommended that more advanced turbulence modeling strategies be applied under those circumstances. Application to a commercially-developed boat tail device has confirmed that this restriction does not apply to geometries where the relative contribution of the base drag to the total drag is reduced by modifying the geometry in that region. Application to a modified GCM geometry with an open grille and radiator has confirmed that the underbody flow, while important for underhood cooling, has little impact on the drag coefficient of the vehicle. Furthermore, the evaluation of the impact of small changes in radiator or grille dimensions has revealed that the total drag is not particularly sensitive to those changes. This observation leads to two significant conclusions. First, a small increase in radiator size to accommodate heat rejection needs related to new emissions restrictions may be tolerated without significant increases in drag losses. Second, efforts to reduce drag on the tractor requires that the design of the entire tractor be treated in an integrated fashion. Simply reducing the size of the grille will not provide the desired result, but the additional contouring of the vehicle as a whole which may be enabled by the smaller radiator could have a more significant effect.

McCallen, R; Salari, K; Ortega, J; Castellucci, P; Pointer, D; Browand, F; Ross, J; Storms, B

2007-01-04T23:59:59.000Z

Note: This page contains sample records for the topic "vehicles model years" 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

Adaptive control of a generic hypersonic vehicle  

E-Print Network [OSTI]

This thesis presents a an adaptive augmented, gain-scheduled baseline LQR-PI controller applied to the Road Runner six-degree-of-freedom generic hypersonic vehicle model. Uncertainty in control effectiveness, longitudinal ...

Wiese, Daniel Philip

2013-01-01T23:59:59.000Z

422

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....

423

Black Liquor Combustion Validated Recovery Boiler Modeling, Final Year Report, Volume 5: Appendix V  

SciTech Connect (OSTI)

This project was initiated in October 1990 with the objective of developing and validating a new computer model of a recovery boiler furnace using a computational fluid dynamics (CFD) code specifically tailored to the requirements for solving recovery boiler flows, and using improved submodels for black liquor combustion based on continued laboratory fundamental studies. Many of these objectives were accomplished at the end of the first five years and documented in a comprehensive report on that work (DOE/CE/40936-T3, 1996). A critical review of recovery boiler modeling, carried out in 1995, concluded that further enhancements of the model were needed to make reliable predictions of key output variables. In addition, there was a need for sufficient understanding of fouling and plugging processes to allow model outputs to be interpreted in terms of the effect on plugging and fouling. As a result, the project was restructured and reinitiated at the end of October 1995, and was completed in June 1997. The entire project is now complete and this report summarizes all of the work done on the project since it was restructured. The key tasks to be accomplished under the restructured project were to (1) Complete the development of enhanced furnace models that have the capability to accurately predict carryover, emissions behavior, dust concentrations, gas temperatures, and wall heat fluxes; (2) Validate the enhanced furnace models, so that users can have confidence in the results; (3) Obtain fundamental information on aerosol formation, deposition, and hardening so as to develop the knowledge base needed to relate furnace model outputs to plugging and fouling in the convective sections of the boiler; and (4) Facilitate the transfer of codes, black liquor submodels, and fundamental knowledge to the U.S. kraft pulp industry.

Grace, T.M.; Frederick, W.J.; Salcudean, M.; Wessel, R.A.

1998-08-01T23:59:59.000Z

424

Black Liquor Combustion Validated Recovery Boiler Modeling, Final Year Report, Volume 4: Appendix IV  

SciTech Connect (OSTI)

This project was initiated in October 1990 with the objective of developing and validating a new computer model of a recovery boiler furnace using a computational fluid dynamics (CFD) code specifically tailored to the requirements for solving recovery boiler flows, and using improved submodels for black liquor combustion based on continued laboratory fundamental studies. Many of these objectives were accomplished at the end of the first five years and documented in a comprehensive report on that work (DOE/CE/40936-T3, 1996). A critical review of recovery boiler modeling, carried out in 1995, concluded that further enhancements of the model were needed to make reliable predictions of key output variables. In addition, there was a need for sufficient understanding of fouling and plugging processes to allow model outputs to be interpreted in terms of the effect on plugging and fouling. As a result, the project was restructured and reinitiated at the end of October 1995, and was completed in June 1997. The entire project is now complete and this report summarizes all of the work done on the project since it was restructured. The key tasks to be accomplished under the restructured project were to (1) Complete the development of enhanced furnace models that have the capability to accurately predict carryover, emissions behavior, dust concentrations, gas temperatures, and wall heat fluxes; (2) Validate the enhanced furnace models, so that users can have confidence in the results; (3) Obtain fundamental information on aerosol formation, deposition, and hardening so as to develop the knowledge base needed to relate furnace model outputs to plugging and fouling in the convective sections of the boiler; and (4) Facilitate the transfer of codes, black liquor submodels, and fundamental knowledge to the U.S. kraft pulp industry.

Grace, T.M.; Frederick, W.J.; Salcudean, M.; Wessel, R.A.

1998-08-01T23:59:59.000Z

425

William and Mary Athletics State Vehicle / Rental Vehicle / Personal Vehicle Policies  

E-Print Network [OSTI]

William and Mary Athletics State Vehicle / Rental Vehicle / Personal Vehicle Policies Last Update: 2/14/14 W&M's vehicle use policy requires that a driver authorization form be completed and approved before driving any vehicle (including a personal vehicle) for university business or a university

Swaddle, John

426

AN APPLICATION OF URBANSIM TO THE AUSTIN, TEXAS REGION: INTEGRATED-MODEL FORECASTS FOR THE YEAR 2030  

E-Print Network [OSTI]

AN APPLICATION OF URBANSIM TO THE AUSTIN, TEXAS REGION: INTEGRATED-MODEL FORECASTS FOR THE YEAR, as well as energy consumption and greenhouse gas emissions. This work describes the modeling of year-2030 policies significantly impact the region's future land use patterns, traffic conditions, greenhouse gas

Kockelman, Kara M.

427

Vehicle Technologies Office: AVTA - Electric Vehicle Charging...  

Energy Savers [EERE]

the Alternative Fuel Data Center's page on plug-in electric vehicle infrastructure. For a map of the public EVSE available in the U.S., see the Alternative Fuels Station Locator....

428

Sandia National Laboratories: vehicle networks  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbineredox-activeNationalhydrogentechnologiesvehicle

429

Advanced Test Reactor Core Modeling Update Project Annual Report for Fiscal Year 2011  

SciTech Connect (OSTI)

Legacy computational reactor physics software tools and protocols currently used for support of Advanced Test Reactor (ATR) core fuel management and safety assurance and, to some extent, experiment management are obsolete, inconsistent with the state of modern nuclear engineering practice, and are becoming increasingly difficult to properly verify and validate (V&V). Furthermore, the legacy staff knowledge required for application of these tools and protocols from the 1960s and 1970s is rapidly being lost due to staff turnover and retirements. In 2009 the Idaho National Laboratory (INL) initiated a focused effort to address this situation through the introduction of modern high-fidelity computational software and protocols, with appropriate V&V, within the next 3-4 years via the ATR Core Modeling and Simulation and V&V Update (or 'Core Modeling Update') Project. This aggressive computational and experimental campaign will have a broad strategic impact on the operation of the ATR, both in terms of improved computational efficiency and accuracy for support of ongoing DOE programs as well as in terms of national and international recognition of the ATR National Scientific User Facility (NSUF). The ATR Core Modeling Update Project, targeted for full implementation in phase with the anticipated ATR Core Internals Changeout (CIC) in the 2014 time frame, began during the last quarter of Fiscal Year 2009, and has just completed its first full year. Key accomplishments so far have encompassed both computational as well as experimental work. A new suite of stochastic and deterministic transport theory based reactor physics codes and their supporting nuclear data libraries (SCALE, KENO-6, HELIOS, NEWT, and ATTILA) have been installed at the INL under various permanent sitewide license agreements and corresponding baseline models of the ATR and ATRC are now operational, demonstrating the basic feasibility of these code packages for their intended purpose. Furthermore, a capability for rigorous sensitivity analysis and uncertainty quantification based on the TSUNAMI system is being implemented and initial computational results have been obtained. This capability will have many applications in 2011 and beyond as a tool for understanding the margins of uncertainty in the new models as well as for validation experiment design and interpretation. Finally we note that although full implementation of the new computational models and protocols will extend over a period 3-4 years as noted above, interim applications in the much nearer term have already been demonstrated. In particular, these demonstrations included an analysis that was useful for understanding the cause of some issues in December 2009 that were triggered by a larger than acceptable discrepancy between the measured excess core reactivity and a calculated value that was based on the legacy computational methods. As the Modeling Update project proceeds we anticipate further such interim, informal, applications in parallel with formal qualification of the system under the applicable INL Quality Assurance procedures and standards.

David W. Nigg; Devin A. Steuhm

2011-09-01T23:59:59.000Z

430

Hydraulic Hybrid and Conventional Parcel Delivery Vehicles' Measured Laboratory Fuel Economy on Targeted Drive Cycles  

SciTech Connect (OSTI)

This research project compares laboratory-measured fuel economy of a medium-duty diesel powered hydraulic hybrid vehicle drivetrain to both a conventional diesel drivetrain and a conventional gasoline drivetrain in a typical commercial parcel delivery application. Vehicles in this study included a model year 2012 Freightliner P100H hybrid compared to a 2012 conventional gasoline P100 and a 2012 conventional diesel parcel delivery van of similar specifications. Drive cycle analysis of 484 days of hybrid parcel delivery van commercial operation from multiple vehicles was used to select three standard laboratory drive cycles as well as to create a custom representative cycle. These four cycles encompass and bracket the range of real world in-use data observed in Baltimore United Parcel Service operations. The NY Composite cycle, the City Suburban Heavy Vehicle Cycle cycle, and the California Air Resources Board Heavy Heavy-Duty Diesel Truck (HHDDT) cycle as well as a custom Baltimore parcel delivery cycle were tested at the National Renewable Energy Laboratory's Renewable Fuels and Lubricants Laboratory. Fuel consumption was measured and analyzed for all three vehicles. Vehicle laboratory results are compared on the basis of fuel economy. The hydraulic hybrid parcel delivery van demonstrated 19%-52% better fuel economy than the conventional diesel parcel delivery van and 30%-56% better fuel economy than the conventional gasoline parcel delivery van on cycles other than the highway-oriented HHDDT cycle.

Lammert, M. P.; Burton, J.; Sindler, P.; Duran, A.

2014-10-01T23:59:59.000Z

431

Hydrogen-Enhanced Natural Gas Vehicle Program  

SciTech Connect (OSTI)

The project objective is to demonstrate the viability of HCNG fuel (30 to 50% hydrogen by volume and the remainder natural gas) to reduce emissions from light-duty on-road vehicles with no loss in performance or efficiency. The City of Las Vegas has an interest in alternative fuels and already has an existing hydrogen refueling station. Collier Technologies Inc (CT) supplied the latest design retrofit kits capable of converting nine compressed natural gas (CNG) fueled, light-duty vehicles powered by the Ford 5.4L Triton engine. CT installed the kits on the first two vehicles in Las Vegas, trained personnel at the City of Las Vegas (the City) to perform the additional seven retrofits, and developed materials for allowing other entities to perform these retrofits as well. These vehicles were used in normal service by the City while driver impressions, reliability, fuel efficiency and emissions were documented for a minimum of one year after conversion. This project has shown the efficacy of operating vehicles originally designed to operate on compressed natural gas with HCNG fuel incorporating large quantities of exhaust gas recirculation (EGR). There were no safety issues experienced with these vehicles. The only maintenance issue in the project was some rough idling due to problems with the EGR valve and piping parts. Once the rough idling was corrected no further maintenance issues with these vehicles were experienced. Fuel economy data showed no significant changes after conversion even with the added power provided by the superchargers that were part of the conversions. Driver feedback for the conversions was very favorable. The additional power provided by the HCNG vehicles was greatly appreciated, especially in traffic. The drivability of the HCNG vehicles was considered to be superior by the drivers. Most of the converted vehicles showed zero oxides of nitrogen throughout the life of the project using the State of Nevada emissions station.

Hyde, Dan; Collier, Kirk

2009-01-22T23:59:59.000Z

432

EV Everywhere Grand Challenge: DOE's 10-Year Vision for Plug...  

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

Plug-in Electric Vehicles & Batteries EV Everywhere Grand Challenge: DOE's 10-Year Vision for Plug-in Electric Vehicles EV Everywhere Grand Challenge: DOE's 10-Year Vision for...

433

Advanced Test Reactor Core Modeling Update Project Annual Report for Fiscal Year 2012  

SciTech Connect (OSTI)

Legacy computational reactor physics software tools and protocols currently used for support of Advanced Test Reactor (ATR) core fuel management and safety assurance, and to some extent, experiment management, are inconsistent with the state of modern nuclear engineering practice, and are difficult, if not impossible, to properly verify and validate (V&V) according to modern standards. Furthermore, the legacy staff knowledge required for application of these tools and protocols from the 1960s and 1970s is rapidly being lost due to staff turnover and retirements. In late 2009, the Idaho National Laboratory (INL) initiated a focused effort, the ATR Core Modeling Update Project, to address this situation through the introduction of modern high-fidelity computational software and protocols. This aggressive computational and experimental campaign will have a broad strategic impact on the operation of the ATR, both in terms of improved computational efficiency and accuracy for support of ongoing DOE programs as well as in terms of national and international recognition of the ATR National Scientific User Facility (NSUF). The ATR Core Modeling Update Project, targeted for full implementation in phase with the next anticipated ATR Core Internals Changeout (CIC) in the 2014-2015 time frame, began during the last quarter of Fiscal Year 2009, and has just completed its third full year. Key accomplishments so far have encompassed both computational as well as experimental work. A new suite of stochastic and deterministic transport theory based reactor physics codes and their supporting nuclear data libraries (HELIOS, KENO6/SCALE, NEWT/SCALE, ATTILA, and an extended implementation of MCNP5) has been installed at the INL under various licensing arrangements. Corresponding models of the ATR and ATRC are now operational with all five codes, demonstrating the basic feasibility of the new code packages for their intended purpose. Of particular importance, a set of as-run core depletion HELIOS calculations for all ATR cycles since August 2009, Cycle 145A through Cycle 151B, was successfully completed during 2012. This major effort supported a decision late in the year to proceed with the phased incorporation of the HELIOS methodology into the ATR Core Safety Analysis Package (CSAP) preparation process, in parallel with the established PDQ-based methodology, beginning late in Fiscal Year 2012. Acquisition of the advanced SERPENT (VTT-Finland) and MC21 (DOE-NR) Monte Carlo stochastic neutronics simulation codes was also initiated during the year and some initial applications of SERPENT to ATRC experiment analysis were demonstrated. These two new codes will offer significant additional capability, including the possibility of full-3D Monte Carlo fuel management support capabilities for the ATR at some point in the future. Finally, a capability for rigorous sensitivity analysis and uncertainty quantification based on the TSUNAMI system has been implemented and initial computational results have been obtained. This capability will have many applications as a tool for understanding the margins of uncertainty in the new models as well as for validation experiment design and interpretation.

David W. Nigg, Principal Investigator; Kevin A. Steuhm, Project Manager

2012-09-01T23:59:59.000Z

434

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

435

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

436

General Vehicle Performance Specifications for the UPRM AUV Vehicle Specifications  

E-Print Network [OSTI]

General Vehicle Performance Specifications for the UPRM AUV Vehicle Specifications Vehicle Characteristics Specification Maximum Depth 700m with 1.5 safety factor Vehicle power 2kWHr Li Ion Rechargeable Transducer 700m rated Paroscientific Depth Sensor will be integrated into the vehicle navigation stream

Gilbes, Fernando

437

Development of Production-Intent Plug-In Hybrid Vehicle Using Advanced Lithium-Ion Battery Packs with Deployment to a Demonstration Fleet  

SciTech Connect (OSTI)

The primary goal of this project was to speed the development of one of the first commercially available, OEM-produced plug-in hybrid electric vehicles (PHEV). The performance of the PHEV was expected to double the fuel economy of the conventional hybrid version. This vehicle program incorporated a number of advanced technologies, including advanced lithium-ion battery packs and an E85-capable flex-fuel engine. The project developed, fully integrated, and validated plug-in specific systems and controls by using GM’s Global Vehicle Development Process (GVDP) for production vehicles. Engineering Development related activities included the build of mule vehicles and integration vehicles for Phases I & II of the project. Performance data for these vehicles was shared with the U.S. Department of Energy (DOE). The deployment of many of these vehicles was restricted to internal use at GM sites or restricted to assigned GM drivers. Phase III of the project captured the first half or Alpha phase of the Engineering tasks for the development of a new thermal management design for a second generation battery module. The project spanned five years. It included six on-site technical reviews with representatives from the DOE. One unique aspect of the GM/DOE collaborative project was the involvement of the DOE throughout the OEM vehicle development process. The DOE gained an understanding of how an OEM develops vehicle efficiency and FE performance, while balancing many other vehicle performance attributes to provide customers well balanced and fuel efficient vehicles that are exciting to drive. Many vehicle content and performance trade-offs were encountered throughout the vehicle development process to achieve product cost and performance targets for both the OEM and end customer. The project team completed two sets of PHEV development vehicles with fully integrated PHEV systems. Over 50 development vehicles were built and operated for over 180,000 development miles. The team also completed four GM engineering development Buy-Off rides/milestones. The project included numerous engineering vehicle and systems development trips including extreme hot, cold and altitude exposure. The final fuel economy performance demonstrated met the objectives of the PHEV collaborative GM/DOE project. Charge depletion fuel economy of twice that of the non-PHEV model was demonstrated. The project team also designed, developed and tested a high voltage battery module concept that appears to be feasible from a manufacturability, cost and performance standpoint. The project provided important product development and knowledge as well as technological learnings and advancements that include multiple U.S. patent applications.

No, author

2013-09-29T23:59:59.000Z

438

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...

439

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...

440

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.

Note: This page contains sample records for the topic "vehicles model years" 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

Vehicle Technologies Office Merit Review 2014: Advanced Heavy...  

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

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

442

AVTA: Ford Escape PHEV Advanced Research Vehicle 2010 Testing...  

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

results of testing done on a plug-in hybrid electric Ford Escape Advanced Research Vehicle, an experimental model not currently for sale. The baseline performance testing...

443

Vehicle Technologies Office Merit Review 2014: A Combined Experimental...  

Energy Savers [EERE]

2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about a combined experimental and modeling approach for...

444

Constraint on inflation model from BICEP2 and WMAP 9-year data  

E-Print Network [OSTI]

Even though Planck data released in 2013 (P13) is not compatible with Background Imaging of Cosmic Extragalactic Polarization (B2) and some local cosmological observations, including Supernova Legacy Survey (SNLS) samples and $H_0$ prior from Hubble Space Telescope (HST) etc, Wilkinson Microwaves Anisotropy Probe 9-year data (W9) is consistent with all of them in the base six-parameter $\\Lambda$CDM+tensor cosmology quite well. In this letter, we adopt the combinations of B2+W9 and B2+W9+SNLS+BAO+HST to constrain the cosmological parameters in the base six-parameter $\\Lambda$CDM+tensor model with $n_t=-r/8$, where r and $n_t$ are the tensor-to-scalar ratio and the tilt of relic gravitational wave spectrum, and BAO denotes Baryon Acoustic Oscillation. We find that the Harrison-Zel'dovich (HZ) scale invariant scalar power spectrum is consistent with both data combinations, chaotic inflation is marginally disfavored by the data at around $2\\sigma$ level, but the power-law inflation model and the inflation model with inverse power-law potential can fit the data nicely.

Cheng Cheng; Qing-Guo Huang

2014-04-08T23:59:59.000Z

445

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

446

Quadrennial Technology Review Vehicle Efficiency and Electrification...  

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

Review Vehicle Efficiency and Electrification Workshop Documents Quadrennial Technology Review Vehicle Efficiency and Electrification Workshop Documents QTR Vehicle Efficiency and...

447

Applying the Energy Service Company Model to Advance Deployment of Fleet Natural Gas Vehicles and Fueling Infrastructure  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICEAmesApplication Acceleration ontoInstrumentationApply

448

Hybrid Electric Vehicle End-Of-Life Testing On Honda Insights, Gen I Civics And Toyota Gen I Priuses  

SciTech Connect (OSTI)

This technical report details the end-of-life fuel efficiency and battery testing on two model year 2001 Honda Insight hybrid electric vehicles (HEVs), two model year 2003 Honda Civic HEVs, and two model year 2002 Toyota Prius HEVs. The end-of-life testing was conducted after each vehicle has been operated for approximately 160,000 miles. This testing was conducted by the U.S. Department of Energy’s (DOE) Advanced Vehicle Testing Activity (AVTA). The AVTA is part of DOE’s FreedomCAR and Vehicle Technologies Program. SAE J1634 fuel efficiency testing was performed on the six HEVs with the air conditioning (AC) on and off. The AC on and off test results are compared to new vehicle AC on and off fuel efficiencies for each HEV model. The six HEVs were all end-of-life tested using new-vehicle coast down coefficients. In addition, one of each HEV model was also subjected to fuel efficiency testing using coast down coefficients obtained when the vehicles completed 160,000 miles of fleet testing. Traction battery pack capacity and power tests were also performed on all six HEVs during the end-of-life testing in accordance with the FreedomCAR Battery Test Manual For Power-Assist Hybrid Electric Vehicles procedures. When using the new-vehicle coast down coefficients (Phase I testing), 11 of 12 HEV tests (each HEV was tested once with the AC on and once with the AC off) had increases in fuel efficiencies compared to the new vehicle test results. The end-of-life fuel efficiency tests using the end-of-life coast down coefficients (Phase II testing) show decreases in fuel economies in five of six tests (three with the AC on and three with it off). All six HEVs experienced decreases in battery capacities, with the two Insights having the highest remaining capacities and the two Priuses having the lowest remaining capacities. The AVTA’s end-of-life testing activities discussed in this report were conducted by the Idaho National Laboratory; the AVTA testing partner Electric Transportation Applications, and by Exponent Failure Analysis Associates.

James Francfort; Donald Karner; Ryan Harkins; Joseph Tardiolo

2006-02-01T23:59:59.000Z

449

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...

450

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...

451

Hydrogen Fuel Cell Vehicles  

E-Print Network [OSTI]

Research Institute 1990 Fuel Cell Status," Proceedings ofMiller, "Introduction: Fuel-Cell-Powered Vehicle DevelopmentPrograms," presented at Fuel Cells for Transportation,

Delucchi, Mark

1992-01-01T23:59:59.000Z

452

E-Print Network 3.0 - aged 21-64 years Sample Search Results  

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

at least 18 years old": context Vehicle inv: self. owner. age > 18... ..* ownershipowner fleet "A vehicle owner must be at least 18 ... Source: Beckert, Bernhard - Fachbereich...

453

E-Print Network 3.0 - aged 45-84 years Sample Search Results  

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

at least 18 years old": context Vehicle inv: self. owner. age > 18... ..* ownershipowner fleet "A vehicle owner must be at least 18 ... Source: Beckert, Bernhard - Fachbereich...

454

E-Print Network 3.0 - aged 15-59 years Sample Search Results  

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

at least 18 years old": context Vehicle inv: self. owner. age > 18... ..* ownershipowner fleet "A vehicle owner must be at least 18 ... Source: Beckert, Bernhard - Fachbereich...

455

E-Print Network 3.0 - aged 20-46 years Sample Search Results  

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

at least 18 years old": context Vehicle inv: self. owner. age > 18... ..* ownershipowner fleet "A vehicle owner must be at least 18 ... Source: Beckert, Bernhard - Fachbereich...

456

Effect of Vehicle Mobility on Connectivity of Vehicular Ad Hoc Networks  

E-Print Network [OSTI]

Effect of Vehicle Mobility on Connectivity of Vehicular Ad Hoc Networks Salman Durrani, Xiangyun equivalent speed parameter and develop an analytical model to explain the effect of vehicle mobility vehicle speed and it decreases as the standard deviation of the vehicle speed increases. Using

Zhou, Xiangyun "Sean"

457

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.

458

Georgia Tech Vehicle Acquisition and  

E-Print Network [OSTI]

1 2012 Georgia Tech 10/10/2012 Vehicle Acquisition and Disposition Manual #12;2 Vehicle Procedures Regardless of value, all vehicles should be included in this process. Acquisition of a Vehicle 1. Contact Fleet Coordinator to guide the departments in the purchasing process for all vehicles. 2. Fill out

459

Electric-Drive Vehicle Basics (Brochure)  

SciTech Connect (OSTI)

Describes the basics of electric-drive vehicles, including hybrid electric vehicles, plug-in hybrid electric vehicles, all-electric vehicles, and the various charging options.

Not Available

2011-04-01T23:59:59.000Z

460

Vehicle Technologies Office: AVTA - Evaluating Military Bases...  

Energy Savers [EERE]

Military Bases and Fleet Readiness for Electric Vehicles Vehicle Technologies Office: AVTA - Evaluating Military Bases and Fleet Readiness for Electric Vehicles The Vehicle...

Note: This page contains sample records for the topic "vehicles model years" 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

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

462

Game Theoretic Modelling of a Human Driver’s Steering Interaction with Vehicle Active Steering Collision Avoidance System  

E-Print Network [OSTI]

-Integral-Derivative (PID) control, Model Predictive Control (MPC) and Linear Quadratic Regulator (LQR). Particular attention here is given to the MPC and LQR which serve as the foundation of the distributed MPC and LQ dynamic optimization approaches to be described...

Na, Xiaoxiang; Cole, David J.

2014-11-10T23:59:59.000Z

463

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...

464

Laboratory to change vehicle traffic-screening regimen at vehicle...  

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

Changes to vehicle traffic-screening Laboratory to change vehicle traffic-screening regimen at vehicle inspection station Lanes two through five will be open 24 hours a day and...

465

Advanced Test Reactor Core Modeling Update Project Annual Report for Fiscal Year 2010  

SciTech Connect (OSTI)

Legacy computational reactor physics software tools and protocols currently used for support of Advanced Test Reactor (ATR) core fuel management and safety assurance and, to some extent, experiment management are obsolete, inconsistent with the state of modern nuclear engineering practice, and are becoming increasingly difficult to properly verify and validate (V&V). Furthermore, the legacy staff knowledge required for application of these tools and protocols from the 1960s and 1970s is rapidly being lost due to staff turnover and retirements. In 2009 the Idaho National Laboratory (INL) initiated a focused effort to address this situation through the introduction of modern high-fidelity computational software and protocols, with appropriate V&V, within the next 3-4 years via the ATR Core Modeling and Simulation and V&V Update (or “Core Modeling Update”) Project. This aggressive computational and experimental campaign will have a broad strategic impact on the operation of the ATR, both in terms of improved computational efficiency and accuracy for support of ongoing DOE programs as well as in terms of national and international recognition of the ATR National Scientific User Facility (NSUF).

Rahmat Aryaeinejad; Douglas S. Crawford; Mark D. DeHart; George W. Griffith; D. Scott Lucas; Joseph W. Nielsen; David W. Nigg; James R. Parry; Jorge Navarro

2010-09-01T23:59:59.000Z

466

Assessment of Food Chain Pathway Parameters in Biosphere Models: Annual Progress Report for Fiscal Year 2004  

SciTech Connect (OSTI)

This Annual Progress Report describes the work performed and summarizes some of the key observations to date on the U.S. Nuclear Regulatory Commission’s project Assessment of Food Chain Pathway Parameters in Biosphere Models, which was established to assess and evaluate a number of key parameters used in the food-chain models used in performance assessments of radioactive waste disposal facilities. Section 2 of this report describes activities undertaken to collect samples of soils from three regions of the United States, the Southeast, Northwest, and Southwest, and perform analyses to characterize their physical and chemical properties. Section 3 summarizes information gathered regarding agricultural practices and common and unusual crops grown in each of these three areas. Section 4 describes progress in studying radionuclide uptake in several representative crops from the three soil types in controlled laboratory conditions. Section 5 describes a range of international coordination activities undertaken by Project staff in order to support the underlying data needs of the Project. Section 6 provides a very brief summary of the status of the GENII Version 2 computer program, which is a “client” of the types of data being generated by the Project, and for which the Project will be providing training to the US NRC staff in the coming Fiscal Year. Several appendices provide additional supporting information.

Napier, Bruce A.; Krupka, Kenneth M.; Fellows, Robert J.; Cataldo, Dominic A.; Valenta, Michelle M.; Gilmore, Tyler J.

2004-12-02T23:59:59.000Z

467

OPTIMAL DESIGN OF HYBRID FUEL CELL VEHICLES  

E-Print Network [OSTI]

Fuel cells are being considered increasingly as a viable alternative energy source for automobiles because of their clean and efficient power generation. Numerous technological concepts have been developed and compared in terms of safety, robust operation, fuel economy, and vehicle performance. However, several issues still exist and must be addressed to improve the viability of this emerging technology. Despite the relatively large number of models and prototypes, a model-based vehicle design capability with sufficient fidelity and efficiency is not yet available in the literature. In this article we present an analysis and design optimization model for fuel cell vehicles that can be applied to both hybrid and non-hybrid vehicles by integrating a fuel cell vehicle simulator with a physics-based fuel cell model. The integration is achieved via quasi-steady fuel cell performance maps, and provides the ability to modify the characteristics of fuel cell systems with sufficient accuracy (less than 5 % error) and efficiency (98 % computational time reduction on average). Thus, a vehicle can be optimized subject to constraints that include various performance metrics and design specifications so that the overall efficiency of the hybrid fuel cell vehicle can be improved by 14 % without violating any constraints. The obtained optimal fuel cell system is also compared to other, not vehicle-related, fuel cell systems optimized for maximum power density or maximum efficiency. A tradeoff between power density and efficiency can be observed depending on the size of compressors. Typically, a larger compressor results in higher fuel cell power density at the cost of fuel cell efficiency because it operates in a wider current region. When optimizing the fuel cell

Jeongwoo Han; Michael Kokkolaras; Panos Papalambros

468

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

469

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

470

Advanced Vehicle Technology Analysis and Evaluation Team  

E-Print Network [OSTI]

Set ­ Models · Conventional, hybrid and electric vehicles · Fuel consumption and performance Testing · Advanced Powertrain Research Facility · ReFuel Facility Fleet Testing · Industry/Government LabFuelReFuel FacilityFacility Fleet TestingFleet Testing ·· Industry/GovernmentIndustry/Government ModelModel Validation

471

> 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.

472

Vehicle Technologies Office: AVTA - Plug-in Electric Vehicle...  

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

nation's vehicle fleet. VTO invested 400 million in 18 projects to demonstrate plug-in electric vehicles (PEVs, also known as electric cars) and infrastructure, including 10...

473

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

474

Vehicle Technologies Office: 2010 Vehicle and Systems Simulation...  

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

vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. 2010vsstreport.pdf More Documents & Publications AVTA PHEV Demonstrations and...

475

Vehicle Technologies Office: 2013 Vehicle and Systems Simulation...  

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

and field evaluations, codes and standards, industry projects, and vehicle systems optimization. 2013vsstreport.pdf More Documents & Publications Vehicle Technologies Office:...

476

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...

477

The Vehicle Technologies Market Report  

E-Print Network [OSTI]

The Vehicle Technologies Market Report Center for Transportation Analysis 2360 Cherahala Boulevard Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies T he Oak Ridge National Laboratory's Center for Transportation Analysis developed and published the first Vehicle Technologies Market

478

Abstract--We present new approaches for building yearly and seasonal models for 5-minute ahead electricity load  

E-Print Network [OSTI]

electricity load forecasting. They are evaluated using two full years of Australian electricity load data. We first analyze the cyclic nature of the electricity load and show that the autocorrelation function to building a single yearly model. I. INTRODUCTION PREDICTING the future electricity demand, also called

Koprinska, Irena

479

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...

480

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...

Note: This page contains sample records for the topic "vehicles model years" 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.


481

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

482

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...

483

Fact #794: August 26, 2013 How Much Does an Average Vehicle Owner...  

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

light vehicles on the road today is 21.4 miles per gallon (mpg). A person owning a gasoline vehicle with that fuel efficiency pays between 137 and 296 in fuel taxes each year,...

484

Fact #862 March 2, 2015 Light Vehicle Production in Mexico More...  

Energy Savers [EERE]

2 March 2, 2015 Light Vehicle Production in Mexico More than Doubled in Last Five Years Fact 862 March 2, 2015 Light Vehicle Production in Mexico More than Doubled in Last Five...

485

10 Kammen and others/p. 1 Cost-Effectiveness of Greenhouse Gas Emission Reductions from Plug-in Hybrid Electric Vehicles  

E-Print Network [OSTI]

that stretches from fossil fuel­powered conventional vehicles (CVs) through hybrid electric vehicles 1-in Hybrid Electric Vehicles Daniel M. Kammen1 , Samuel M. Arons, Derek M. Lemoine and Holmes Hummel Cars per year.2 Plug-in hybrid electric vehicles could alter these trends. On a vehicle technology spectrum

Kammen, Daniel M.

486

Electric Vehicle Service Personnel Training Program  

SciTech Connect (OSTI)

As the share of hybrid, plug-in hybrid (PHEV), electric (EV) and fuel-cell (FCV) vehicles grows in the national automotive fleet, an entirely new set of diagnostic and technical skills needs to be obtained by the maintenance workforce. Electrically-powered vehicles require new diagnostic tools, technique and vocabulary when compared to existing internal combustion engine-powered models. While the manufacturers of these new vehicles train their own maintenance personnel, training for students, independent working technicians and fleet operators is less focused and organized. This DOE-funded effort provided training to these three target groups to help expand availability of skills and to provide more competition (and lower consumer cost) in the maintenance of these hybrid- and electric-powered vehicles. Our approach was to start locally in the San Francisco Bay Area, one of the densest markets in the United States for these types of automobiles. We then expanded training to the Los Angeles area and then out-of-state to identify what types of curriculum was appropriate and what types of problems were encountered as training was disseminated. The fact that this effort trained up to 800 individuals with sessions varying from 2- day workshops to full-semester courses is considered a successful outcome. Diverse programs were developed to match unique time availability and educational needs of each of the three target audiences. Several key findings and observations arising from this effort include: • Recognition that hybrid and PHEV training demand is immediate; demand for EV training is starting to emerge; while demand for FCV training is still over the horizon • Hybrid and PHEV training are an excellent starting point for all EV-related training as they introduce all the basic concepts (electric motors, battery management, controllers, vocabulary, testing techniques) that are needed for all EVs, and these skills are in-demand in today’s market. • Faculty training is widely available and can be relatively quickly achieved. Equipment availability (vehicles, specialized tools, diagnostic software and computers) is a bigger challenge for funding-constrained colleges. • A computer-based emulation system that would replicate vehicle and diagnostic software in one package is a training aid that would have widespread benefit, but does not appear to exist. This need is further described at the end of Section 6.5. The benefits of this project are unique to each of the three target audiences. Students have learned skills they will use for the remainder of their careers; independent technicians can now accept customers who they previously needed to turn away due to lack of familiarity with hybrid systems; and fleet maintenance personnel are able to lower costs by undertaking work in-house that they previously needed to outsource. The direct job impact is estimated at 0.75 FTE continuously over the 3 ˝ -year duration of the grant.

Bernstein, Gerald

2013-06-21T23:59:59.000Z

487

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...

488

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,...

489

Modular Energy Storage System for Hydrogen Fuel Cell Vehicles  

SciTech Connect (OSTI)

The objective of the project is to develop technologies, specifically power electronics, energy storage electronics and controls that provide efficient and effective energy management between electrically powered devices in alternative energy vehicles â?? plug-in electric vehicles, hybrid vehicles, range extended vehicles, and hydrogen-based fuel cell vehicles. The in-depth research into the complex interactions between the lower and higher voltage systems from data obtained via modeling, bench testing and instrumented vehicle data will allow an optimum system to be developed from a performance, cost, weight and size perspective. The subsystems are designed for modularity so that they may be used with different propulsion and energy delivery systems. This approach will allow expansion into new alternative energy vehicle markets.

Janice Thomas

2010-05-31T23:59:59.000Z

490

Safer Vehicles for People and the Planet  

SciTech Connect (OSTI)

Motor vehicles contribute to climate change and petroleum dependence. Improving their fuel economy by making them lighter need not compromise safety. The cars and trucks plying America's roads and highways generate roughly 20 percent of the nation's total emissions of carbon dioxide, a pollutant that is, of course, of increasing concern because of its influence on climate. Motor vehicles also account for most of our country's dependence on imported petroleum, the price of which has recently skyrocketed to near-record levels. So policymakers would welcome the many benefits that would accrue from lessening the amount of fuel consumed in this way. Yet lawmakers have not significantly tightened new vehicle fuel-economy standards since they were first enacted three decades ago. Since then, manufacturers have, for the most part, used advances in automotive technology, ones that could have diminished fuel consumption, to boost performance and increase vehicle weight. In addition, the growth in popularity of pickups, sport utility vehicles (SUVs) and minivans--and the large amounts of gas they typically guzzle--has resulted in the average vehicle using the same amount of fuel per mile as it did 20 years ago. One of the historical impediments to imposing tougher fuel-economy standards has been the long-standing worry that reducing the mass of a car or truck to help meet these requirements would make it more dangerous to its occupants in a crash. People often justify this concern in terms of 'simple physics', noting, for example, that, all else being equal, in a head-on collision, the lighter vehicle is the more strongly decelerated, an argument that continues to sway regulators, legislators and many in the general public. We have spent the past several years examining the research underlying this position--and some recent work challenging it. We have also conducted our own analyses and come to the conclusion that the claim that lighter vehicles are inherently dangerous to those riding in them is flawed. For starters, all else is never equal; other aspects of vehicle design appear to control what really happens in a crash, as reflected in the safety record of different kinds of vehicles. What's more, the use of high-strength steel, light-weight metals such as aluminum and magnesium, and fiber-reinforced plastics now offers automotive engineers the means to fashion vehicles that are simultaneously safer and less massive than their predecessors, and such designs would, of course, enjoy the better fuel economy that shedding pounds brings.

Wenzel, Thomas P; Wenzel, Thomas P; Ross, Marc

2008-03-01T23:59:59.000Z

491

Vehicle Technologies Office - AVTA: All Electric USPS Long Life Vehicle  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment of EnergyProgram2-26TheUtility-Scaleof EnergyVehicle TechnologiesConversions

492

Vehicle Technologies Office - AVTA: Hybrid-Electric Delivery Vehicles |  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment of EnergyProgram2-26TheUtility-Scaleof EnergyVehicle

493

Vehicle Technologies Office - AVTA: Hybrid-Electric Tractor Vehicles |  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment of EnergyProgram2-26TheUtility-Scaleof EnergyVehicleDepartment of Energy

494

Model curriculum outline for Alternatively Fueled Vehicle (AFV) automotive technician training in light and medium duty CNG and LPG  

SciTech Connect (OSTI)

This model curriculum outline was developed using a turbo-DACUM (Developing a Curriculum) process which utilizes practicing experts to undertake a comprehensive job and task analysis. The job and task analysis serves to establish current baseline data accurately and to improve both the process and the product of the job through constant and continuous improvement of training. The DACUM process is based on the following assumptions: (1) Expert workers are the best source for task analysis. (2) Any occupation can be described effectively in terms of tasks. (3) All tasks imply knowledge, skills, and attitudes/values. A DACUM panel, comprised of six experienced and knowledgeable technicians who are presently working in the field, was given an orientation to the DACUM process. The panel then identified, verified, and sequenced all the necessary job duty areas and tasks. The broad duty categories were rated according to relative importance and assigned percentage ratings in priority order. The panel then rated every task for each of the duties on a scale of 1 to 3. A rating of 3 indicates an {open_quotes}essential{close_quotes} task, a rating of 2 indicates an {open_quotes}important{close_quotes} task, and a rating of 1 indicates a {open_quotes}desirable{close_quotes} task.

NONE

1997-04-01T23:59:59.000Z

495

Congestion control in charging of electric vehicles  

E-Print Network [OSTI]

The increasing penetration of electric vehicles over the coming decades, taken together with the high cost to upgrade local distribution networks, and consumer demand for home charging, suggest that managing congestion on low voltage networks will be a crucial component of the electric vehicle revolution and the move away from fossil fuels in transportation. Here, we model the max-flow and proportional fairness protocols for the control of congestion caused by a fleet of vehicles charging on distribution networks. We analyse the inequality in the charging times as the vehicle arrival rate increases, and show that charging times are considerably more uneven in max-flow than in proportional fairness. We also analyse the onset of instability, and find that the critical arrival rate is indistinguishable between the two protocols.

Carvalho, Rui; Gibbens, Richard; Kelly, Frank

2015-01-01T23:59:59.000Z

496

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households  

E-Print Network [OSTI]

EV,then we expect 13.3 to 15.2% of all light-duty vehicle sales,EV marketpotential for smaller and shorter range velucles represented by our sampleis about 7%of annual, newhght duty vehicle sales.EV body styles" EVs ICEVs Total PAGE 66 THE HOUSEHOLD MA RKET FOR ELECTRIC VEHICLES percent mandatein the year 2003will dependon sales

Turrentine, Thomas; Kurani, Kenneth S.

2001-01-01T23:59:59.000Z

497

Advanced Vehicle Electrification and Transportation Sector Electrifica...  

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

More Documents & Publications Advanced Vehicle Electrification and Transportation Sector Electrification Advanced Vehicle Electrification & Transportation Sector...

498

A Verified Hybrid Controller For Automated Vehicles  

E-Print Network [OSTI]

con- trollers for vehicle automation," in American ControlTomizuka, Vehicle lateral control for highway automation,"

Lygeros, J.; Godbole, D. N.; Sastry, S.

1997-01-01T23:59:59.000Z

499

Blast resistant vehicle seat  

DOE Patents [OSTI]

Disclosed are various seats for vehicles particularly military vehicles that are susceptible to attack by road-bed explosive devices such as land mines or improvised explosive devices. The seats often have rigid seat shells and may include rigid bracing for rigidly securing the seat to the chassis of the vehicle. Typically embodiments include channels and particulate media such as sand disposed in the channels. A gas distribution system is generally employed to pump a gas through the channels and in some embodiments the gas is provided at a pressure sufficient to fluidize the particulate media when an occupant is sitting on the seat.

Ripley, Edward B

2013-02-12T23:59:59.000Z

500

Rapid road repair vehicle  

DOE Patents [OSTI]

Disclosed are improvments to a rapid road repair vehicle comprising an improved cleaning device arrangement, two dispensing arrays for filling defects more rapidly and efficiently, an array of pre-heaters to heat the road way surface in order to help the repair material better bond to the repaired surface, a means for detecting, measuring, and computing the number, location and volume of each of the detected surface imperfection, and a computer means schema for controlling the operation of the plurality of vehicle subsystems. The improved vehicle is, therefore, better able to perform its intended function of filling surface imperfections while moving over those surfaces at near normal traffic speeds.

Mara, Leo M. (Livermore, CA)

1999-01-01T23:59:59.000Z