National Library of Energy BETA

Sample records for vehicle choice models

  1. Consumer Vehicle Choice Model Documentation

    SciTech Connect (OSTI)

    Liu, Changzheng; Greene, David L

    2012-08-01

    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.

  2. Vehicle Technologies Office Merit Review 2015: ParaChoice: Parametric Vehicle Choice Modeling

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Sandia National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about ParaChoice:...

  3. ADOPT: A Historically Validated Light Duty Vehicle Consumer Choice Model

    SciTech Connect (OSTI)

    Brooker, A.; Gonder, J.; Lopp, S.; Ward, J.

    2015-05-04

    The Automotive Deployment Option Projection Tool (ADOPT) is a light-duty vehicle consumer choice and stock model supported by the U.S. Department of Energy’s Vehicle Technologies Office. It estimates technology improvement impacts on U.S. light-duty vehicles sales, petroleum use, and greenhouse gas emissions. ADOPT uses techniques from the multinomial logit method and the mixed logit method estimate sales. Specifically, it estimates sales based on the weighted value of key attributes including vehicle price, fuel cost, acceleration, range and usable volume. The average importance of several attributes changes nonlinearly across its range and changes with income. For several attributes, a distribution of importance around the average value is used to represent consumer heterogeneity. The majority of existing vehicle makes, models, and trims are included to fully represent the market. The Corporate Average Fuel Economy regulations are enforced. The sales feed into the ADOPT stock model. It captures key aspects for summing petroleum use and greenhouse gas emissions This includes capturing the change in vehicle miles traveled by vehicle age, the creation of new model options based on the success of existing vehicles, new vehicle option introduction rate limits, and survival rates by vehicle age. ADOPT has been extensively validated with historical sales data. It matches in key dimensions including sales by fuel economy, acceleration, price, vehicle size class, and powertrain across multiple years. A graphical user interface provides easy and efficient use. It manages the inputs, simulation, and results.

  4. 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...

  5. 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

  6. Vehicle Technologies Office Merit Review 2016: ParaChoice Model

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Sandia National Laboratory (SNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Analysis

  7. Improving the behavioral realism of global integrated assessment models: An application to consumers’ vehicle choices

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    McCollum, David L.; Wilson, Charlie; Pettifor, Hazel; Ramea, Kalai; Krey, Volker; Riahi, Keywan; Bertram, Christoph; Lin, Zhenhong; Edelenbosch, Oreane Y.; Fujisawa, Sei

    2016-05-03

    A large body of transport sector-focused research recognizes the complexity of human behavior in relation to mobility. Yet, global integrated assessment models (IAMs), which are widely used to evaluate the costs, potentials, and consequences of different greenhouse gas emission trajectories over the medium-to-long term, typically represent behavior and the end use of energy as a simple rational choice between available alternatives, even though abundant empirical evidence shows that real-world decision making is more complex and less routinely rational. This paper demonstrates the value of incorporating certain features of consumer behavior in IAMs, focusing on light-duty vehicle (LDV) purchase decisions. Anmore » innovative model formulation is developed to represent heterogeneous consumer groups with varying preferences for vehicle novelty, range, refueling/recharging availability, and variety. The formulation is then implemented in the transport module of MESSAGE-Transport, a global IAM, although it also has the generic flexibility to be applied in energy-economy models with varying set-ups. Comparison of conventional and behaviorally-realistic model runs with respect to vehicle purchase decisions shows that consumer preferences may slow down the transition to alternative fuel (low-carbon) vehicles. Consequently, stronger price-based incentives and/or non-price based measures may be needed to transform the global fleet of passenger vehicles, at least in the initial market phases of novel alternatives. Otherwise, the mitigation burden borne by other transport sub-sectors and other energy sectors could be higher than previously estimated. Moreover, capturing behavioral features of energy consumers in global IAMs increases their usefulness to policy makers by allowing a more realistic assessment of a more diverse suite of policies.« less

  8. 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...

  9. Leading by Example: Argonne Senior Management Makes "Green" Vehicle Choices

    ScienceCinema (OSTI)

    Peters, Mark; Kearns, Paul;

    2013-04-19

    Argonne's senior management shows leadership in the sustainability arena with their own personal choices in "green" vehicles. They don't just talk the talk ? they walk the walk.

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

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

    than one type of fuel. FFVs can be fueled with unleaded gasoline, E85, or any combination of the two. Like conventional gasoline vehicles, FFVs have a single fuel tank, fuel ...

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

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

    Fuels and Advanced Vehicles Data Center (AFDC) Web site at www.afdc.energy.gov. ... Fuel Converters on its Web site at www.epa.govotaqcertdearmfr cisd0602.pdf. ...

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

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

    new models available since 2010, although diesel and propane models contributed as well. ... fuel sources include hydrogen, methanol, propane, hybrid, electric vehicle, diesel, CNG, ...

  13. Flexible Fuel Vehicles: Providing a Renewable Fuel Choice

    SciTech Connect (OSTI)

    Clean Cities

    2010-03-01

    Flexible fuel vehicles can operate on either gasoline or E85, a mixture of 85% ethanol and 15% gasoline. The fact sheet discusses the costs, benefits, and vehicle performance of using E85.

  14. Flexible Fuel Vehicles: Providing a Renewable Fuel Choice (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-03-01

    Flexible Fuel vehicles are able to operate using more than one type of fuel. FFVs can be fueled with unleaded gasoline, E85, or any combination of the two. Today more than 7 million vehicles on U.S. highways are flexible fuel vehicles. The fact sheet discusses how E85 affects vehicle performance, the costs and benefits of using E85, and how to find E85 station locations.

  15. Flexible Fuel Vehicles: Providing a Renewable Fuel Choice (Revised)

    SciTech Connect (OSTI)

    Not Available

    2008-06-01

    Clean Cities fact sheet describing aspects of flexible fuel vehicles such as use of E85, special features, benefits of use, costs, and fueling locations. It includes discussion on performance and how to identify these vehicles as well as listing additional resources.

  16. Models Move Vehicle Design Forward

    Broader source: Energy.gov [DOE]

    These days, modeling software is as important to building a car as welding equipment. The Energy Department’s Vehicle Technologies Office is working to make these models as useful and accurate as possible so that manufacturers can build the next-generation of fuel efficient and advanced technology vehicles.

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

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

    What is an FFV? An FFV, as its name implies, has the flex- ibility of running on more than one type of fuel. FFVs can be fueled with unleaded gasoline, E85, or any combination of the two. Like conventional gasoline vehicles, FFVs have a single fuel tank, fuel system, and engine. And they are available in a wide range of models such as sedans, pickups, and minivans. Light-duty FFVs are designed to operate with at least 15% gasoline in the fuel, mainly to ensure they start in cold weather. FFVs

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

    Broader source: Energy.gov [DOE]

    Flexible Fuel vehicles are able to operate using more than one type of fuel. FFVs can be fueled with unleaded gasoline, E85, or any combination of the two. Today more than 7 million vehicles on U.S. highways are flexible fuel vehicles. The fact sheet discusses how E85 affects vehicle performance, the costs and benefits of using E85, and how to find E85 station locations.

  19. A Plug-in Hybrid Consumer Choice Model with Detailed Market Segmentation

    SciTech Connect (OSTI)

    Lin, Zhenhong; Greene, David L

    2010-01-01

    This paper describes a consumer choice model for projecting U.S. demand for plug-in hybrid electric vehicles (PHEV) in competition among 13 light-duty vehicle technologies over the period 2005-2050. New car buyers are disaggregated by region, residential area, attitude toward technology risk, vehicle usage intensity, home parking and work recharging. The nested multinomial logit (NMNL) model of vehicle choice incorporates daily vehicle usage distributions, refueling and recharging availability, technology learning by doing, and diversity of choice among makes and models. Illustrative results are presented for a Base Case, calibrated to the Annual Energy Outlook (AEO) 2009 Reference Updated Case, and an optimistic technology scenario reflecting achievement of U.S. Department of Energy s (DOE s) FreedomCAR goals. PHEV market success is highly dependent on the degree of technological progress assumed. PHEV sales reach one million in 2037 in the Base Case but in 2020 in the FreedomCARGoals Case. In the FreedomCARGoals Case, PHEV cumulative sales reach 1.5 million by 2015. Together with efficiency improvements in other technologies, petroleum use in 2050 is reduced by about 45% from the 2005 level. After technological progress, PHEV s market success appears to be most sensitive to recharging availability, consumers attitudes toward novel echnologies, and vehicle usage intensity. Successful market penetration of PHEVs helps bring down battery costs for electric vehicles (EVs), resulting in a significant EV market share after 2040.

  20. Heavy Duty Vehicle Modeling & Simulation

    Broader source: Energy.gov [DOE]

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

  1. AVTA Vehicle Component Cost Model

    Broader source: Energy.gov [DOE]

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

  2. VISION Model for Vehicle Technologies and Alternative Fuels ...

    Open Energy Info (EERE)

    VISION Model for Vehicle Technologies and Alternative Fuels Jump to: navigation, search Tool Summary LAUNCH TOOL Name: VISION Model for Vehicle Technologies and Alternative Fuels...

  3. Integrated Mathematical Modeling Software Series of Vehicle Propulsion...

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

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

  4. DOD/NREL Model Integrates Vehicles, Renewables & Microgrid (Fact...

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

    ... model of a system specific to Fort Carson will include a photovoltaic canopy that provides shade for vehicles while feeding energy to the microgrid and vehicle charging stations. ...

  5. Current Transportation Models Used in the Vehicle Technologies Program

    SciTech Connect (OSTI)

    2009-04-06

    A summary of various transportation models (VISION, TRUCK, GREET, Oil Peaking Model, Feebate Model, Oil Security Metrics Model, ORNL PHEV Choice Model: Version 1, PSAT, PSAT-PRO,

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

    Broader source: Energy.gov [DOE]

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

  7. Modeling Choices and the Effects of Water Runoff on Plant Productivity...

    Office of Science (SC) Website

    Modeling Choices and the Effects of Water Runoff on Plant Productivity Biological and ... Modeling Choices and the Effects of Water Runoff on Plant Productivity Understanding ...

  8. Integrated Mathematical Modeling Software Series of Vehicle Propulsion

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

    System: (1) Tractive Effort (T sub ew) of Vehicle Road Wheel/Track Sprocket | Department of Energy Mathematical Modeling Software Series of Vehicle Propulsion System: (1) Tractive Effort (T sub ew) of Vehicle Road Wheel/Track Sprocket Integrated Mathematical Modeling Software Series of Vehicle Propulsion System: (1) Tractive Effort (T sub ew) of Vehicle Road Wheel/Track Sprocket Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit,

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

    SciTech Connect (OSTI)

    Not Available

    2011-02-01

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

  10. Vehicle Model Validation | Department of Energy

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

    09 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. vssp_17_rousseau.pdf (1.54 MB) More Documents & Publications Vehicle Technologies Office: 2008 Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Autonomie Plug&Play Software Architecture Vehicle Technologies Office: 2009 Advanced Vehicle Technology Analysis and

  11. Transportation and Vehicle Energy Modeling | Argonne National Laboratory

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

    Transportation and Vehicle Energy Modeling Transportation and Vehicle Energy Modeling For the past 15 years, Argonne has been at the forefront of research in energy-efficient transportation. In recent years, the vehicle technologies have become increasingly complex with the introduction of new powertrain configurations (such as electrified vehicles), new component technologies (such as advanced transmissions and engines) and control strategies (such eco-routing). In addition, with increased

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

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

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

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

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

    Emissions Modeling: GREET Life Cycle Analysis Vehicle Technologies Office Merit Review 2014: Emissions Modeling: GREET Life Cycle Analysis Presentation given by Argonne National ...

  14. Vehicle Technologies Office Merit Review 2015: Emissions Modeling...

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

    Emissions Modeling: GREET Life Cycle Analysis Vehicle Technologies Office Merit Review 2015: Emissions Modeling: GREET Life Cycle Analysis Presentation given by Argonne National ...

  15. Vehicle Technologies Office Merit Review 2015: Emissions Modeling: GREET

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

    Life Cycle Analysis | Department of Energy Emissions Modeling: GREET Life Cycle Analysis Vehicle Technologies Office Merit Review 2015: Emissions Modeling: GREET Life Cycle Analysis Presentation given by Argonne National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about emissions modeling using the GREET life cycle analysis. van002_wang_2015_o.pdf (1.73 MB) More Documents & Publications Vehicle

  16. Vehicle Technologies Office: Modeling and Simulation | Department of Energy

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

    Modeling, Testing, Data & Results » Vehicle Technologies Office: Modeling and Simulation Vehicle Technologies Office: Modeling and Simulation The Vehicle Technologies Office (VTO) partners with researchers at the national laboratories and industry to identify technologies and strategies needed to achieve the best combination of high fuel economy and low emissions. There are a large number of advanced powertrain configurations that could potentially provide these benefits. However, it is not

  17. Modeling Grid-Connected Hybrid Electric Vehicles Using ADVISOR

    SciTech Connect (OSTI)

    Markel, T.; Wipke, K.

    2001-01-01

    Presents an electric utility grid-connected energy management strategy for a parallel hybrid electric vehicle using ADVISOR, a modeling tool.

  18. Vehicle Technologies Office Merit Review 2014: Model Development...

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

    and Analysis of Clean & Efficient Engine Combustion ... 2014 DOE Hydrogen and Fuel Cells Program and Vehicle ... Efficient Modeling of High-Efficiency Clean Combustion ...

  19. Vehicle Technologies Office Merit Review 2015: Model Development...

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

    Lawrence Livermore National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about model ...

  20. Heavy Duty Vehicle Modeling and Simulation

    Broader source: Energy.gov [DOE]

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

  1. Vehicle Technologies Office Merit Review 2015: Modeling for Light and Heavy Vehicle Market Analysis

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Energetics at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about modeling for light and heavy...

  2. Vehicle Technologies Office Merit Review 2015: Technical Cost Modeling for Vehicle Lightweighting

    Broader source: Energy.gov [DOE]

    Presentation given by IBIS Associates at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about technical cost modeling for...

  3. EV Everywhere: Find Electric Vehicle Models | Department of Energy

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

    Find Electric Vehicle Models EV Everywhere: Find Electric Vehicle Models Search Car: Year: -- ALL -- Make: -- ALL -- Market Class: -- ALL -- All-Electric Range: Min -- ALL -- 10 miles 20 miles 30 miles 40 miles 50 miles 60 miles 70 miles 80 miles 90 miles 100 miles 110 miles 120 miles 130+ miles Gasoline Back-Up Available: -- ALL -- No Yes Reset To find out if a plug-in electric vehicle (EV) will work for you, use the menus to the left to sort the available EV models on the market by year, make,

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

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

    Department of Energy Modeling, Testing, Data and Results Vehicle Technologies Office: Modeling, Testing, Data and Results Along with work in individual technologies, the Vehicle Technologies Office (VTO) funds research that explores how to connect these components and systems together in the most effective, efficient way possible. Much of this work uses specialized equipment and software that VTO developed in partnership with the national laboratories, including the industry-leading modeling

  5. Literature review for vehicle correspondence and network modeling and analysis

    SciTech Connect (OSTI)

    Boakye, K; Kidwell, P; Konjevod, G; Lenderman, J

    2015-12-18

    The ability to recognize specific vehicle types (e.g., car make and model) is central to the correspondence task. Here we describe two recent efforts in this area.

  6. Vehicle Technologies Office Merit Review 2016: Chemical Kinetic Models for

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

    Advanced Engine Combustion | Department of Energy Chemical Kinetic Models for Advanced Engine Combustion Vehicle Technologies Office Merit Review 2016: Chemical Kinetic Models for Advanced Engine Combustion Presentation given by Lawrence Livermore National Laboratory (LLNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Combustion Engines ace013_pitz_2016_o_web.pdf (1.99 MB) More Documents &

  7. Analyzing the impact of modeling choices and assumptions in compartmental epidemiological models

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Nutaro, James J.; Pullum, Laura L.; Ramanathan, Arvind; Ozmen, Ozgur

    2016-05-01

    In this study, computational models have become increasingly used as part of modeling, predicting, and understanding how infectious diseases spread within large populations. These models can be broadly classified into differential equation-based models (EBM) and agent-based models (ABM). Both types of models are central in aiding public health officials design intervention strategies in case of large epidemic outbreaks. We examine these models in the context of illuminating their hidden assumptions and the impact these may have on the model outcomes. Very few ABM/EBMs are evaluated for their suitability to address a particular public health concern, and drawing relevant conclusions aboutmore » their suitability requires reliable and relevant information regarding the different modeling strategies and associated assumptions. Hence, there is a need to determine how the different modeling strategies, choices of various parameters, and the resolution of information for EBMs and ABMs affect outcomes, including predictions of disease spread. In this study, we present a quantitative analysis of how the selection of model types (i.e., EBM vs. ABM), the underlying assumptions that are enforced by model types to model the disease propagation process, and the choice of time advance (continuous vs. discrete) affect the overall outcomes of modeling disease spread. Our study reveals that the magnitude and velocity of the simulated epidemic depends critically on the selection of modeling principles, various assumptions of disease process, and the choice of time advance.« less

  8. FASTSim: A Model to Estimate Vehicle Efficiency, Cost and Performance

    SciTech Connect (OSTI)

    Brooker, A.; Gonder, J.; Wang, L.; Wood, E.; Lopp, S.; Ramroth, L.

    2015-05-04

    The Future Automotive Systems Technology Simulator (FASTSim) is a high-level advanced vehicle powertrain systems analysis tool supported by the U.S. Department of Energy’s Vehicle Technologies Office. FASTSim provides a quick and simple approach to compare powertrains and estimate the impact of technology improvements on light- and heavy-duty vehicle efficiency, performance, cost, and battery batches of real-world drive cycles. FASTSim’s calculation framework and balance among detail, accuracy, and speed enable it to simulate thousands of driven miles in minutes. The key components and vehicle outputs have been validated by comparing the model outputs to test data for many different vehicles to provide confidence in the results. A graphical user interface makes FASTSim easy and efficient to use. FASTSim is freely available for download from the National Renewable Energy Laboratory’s website (see www.nrel.gov/fastsim).

  9. Vehicle Lightweighting: 40% and 45% Weight Savings Analysis: Technical Cost Modeling for Vehicle Lightweighting

    SciTech Connect (OSTI)

    Mascarin, Anthony; Hannibal, Ted; Raghunathan, Anand; Ivanic, Ziga; Francfort, James

    2015-04-01

    The U.S. Department of Energy’s Vehicle Technologies Office, Materials area commissioned a study to model and assess manufacturing economics of alternative design and production strategies for a series of lightweight vehicle concepts. The strategic targets were a 40% and a 45% mass reduction relative to a standard North American midsize passenger sedan at an effective cost of $3.42 per pound (lb) saved. The baseline vehicle was an average of several available vehicles in this class. Mass and cost breakdowns from several sources were used, including original equipment manufacturers’ (OEMs’) input through U.S. Department of Energy’s Vehicle Technologies Office programs and public presentations, A2Mac1 LLC’s teardown information, Lotus Engineering Limited and FEV, Inc. breakdowns in their respective lightweighting studies, and IBIS Associates, Inc.’s decades of experience in automotive lightweighting and materials substitution analyses. Information on lightweighting strategies in this analysis came from these same sources and the ongoing U.S. Department of Energy-funded Vehma International of America, Inc. /Ford Motor Company Multi-Material Lightweight Prototype Vehicle Demonstration Project, the Aluminum Association Transportation Group, and many United States Council for Automotive Research’s/United States Automotive Materials Partnership LLC lightweight materials programs.

  10. Highway vehicle MPG and market shares report: Model year 1990

    SciTech Connect (OSTI)

    Williams, L.S. ); Hu, P.S. )

    1991-04-01

    This issue of Highway Vehicle MPG and Market Shares Report: Model Year 1990 reports the estimated sales-weighted fuel economies, sales, market shares, and other vehicle characteristics of new automobiles and light trucks. The estimates are made on a make and model basis (e.g., Chevrolet is a make and Corsica is a model), from model year 1976 to model year 1990. 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 fuel economy changes to determine what caused the changes. The new automobile fleet experienced a fuel economy loss of 0.4 mpg from the previous model year, dropping to 27.6 mpg. This is the second consecutive decline in the fuel economy of new automobiles since model year 1983. The main reason for the fuel economy decline in automobiles was that the compact, midsize, and large size classes, which together claimed more than 75% of the new automobile market, each experienced fuel economy declines of 0.4 mpg or more. In contrast, the new light truck fleet showed an increase of 0.3 mpg from the previous year to a current mpg of 20.5. The fuel economy increase in light trucks was primarily due to the fact that the large pickup class, which represents 35.0% of the new 1990 light truck market experienced a gain of 0.7 mpg in its fuel economy. Overall, the sales-weighted fuel economy of the new light-duty vehicle fleet (automobiles and light trucks) dropped to 24.8 mpg in model year 1990, a reduction of 0.2 mpg from model year 1989. 9 refs., 29 figs., 55 tabs.

  11. Vehicles

    Broader source: Energy.gov [DOE]

    Vehicles, and the fuel it takes to power them, are an essential part of our American infrastructure and economy. The Energy Department works to develop transportation technologies that will reduce our dependence on foreign oil.

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

    Broader source: Energy.gov [DOE]

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

  13. NREL: Transportation Research - Vehicle Thermal Management Models and Tools

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

    Models and Tools image of three models of semi truck cabs. Truck cab models drawn from CAD geometry using CoolCalc (left and center), and a model with overlay of computational fluid dynamics flow (right) indicate areas of heat absorption and loss. Illustrations by Jason Lustbader, Matt Jeffers, and Larry Chaney, NREL The National Renewable Energy Laboratory's (NREL's) vehicle thermal management modeling tools allow researchers to assess the trade-offs and calculate the potential benefits of

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

    SciTech Connect (OSTI)

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

    2006-12-20

    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.

  15. Vehicle Technologies Office Merit Review 2015: Vehicle Thermal Systems Modeling in Simulink

    Broader source: Energy.gov [DOE]

    Presentation given by National Renewable Energy Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about vehicle...

  16. 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...

  17. Motor vehicle MPG and market shares report: model year 1985

    SciTech Connect (OSTI)

    Hu, P.S.

    1986-02-01

    Sales of automobiles jumped dramatically from 10,211,058 units in model year 1984 to 10,968,515 units in model year 1985, an incease of 7.4%. Light trucks had an even more striking increase in sales, rising 17.2% from the previous model year. The sales-weighted fuel economy for the entire automobile fleet continued to climb in model year 1985, from 26.3 mpg in model year 1984 to 27.0 mpg in this model year. The sales-weighted fuel economies in light trucks have remained relatively constant since model year 1979. The trends of various vehicle characteristics from model year 1978 through 1985 are illustrated. 34 figs., 45 tabs.

  18. Motor vehicle MPG and market shares report: model year 1984

    SciTech Connect (OSTI)

    Hu, P.S.; Holcomb, M.C.

    1985-01-01

    This issue of the publication reports the sales, market shares, estimated sales-weighted fuel economies, and other estimated sales-weighted vehicle characteristics of automobiles and light trucks for the model year 1984 and for the previous five model years. Comparisons and observations are made on the trends in these vehicles from one model year to the next. An improved methodology is used to allocate the yearly MPG changes among eight components, rather than the four reported in the previous reports. Sales of automobiles showed an increase of 16.6% from model year 1983. An even more striking increase was observed in the sales of light trucks: 30.5% from model year 1983. The 1984 model year experienced a gain of 0.23 mpg in sales-weighted automobile fuel economy. In contrast, light trucks experienced a loss of 0.59 mpg in fuel economy, from 20.50 mpg in model year 1983 to 19.91 mpg in model year 1984.

  19. Vehicle Technologies Office Merit Review 2015: MA3T—Modeling Vehicle Market Dynamics with Consumer Segmentation

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about MA3T—modeling...

  20. Model choice considerations and information integration using analytical hierarchy process

    SciTech Connect (OSTI)

    Langenbrunner, James R; Hemez, Francois M; Booker, Jane M; Ross, Timothy J.

    2010-10-15

    Using the theory of information-gap for decision-making under severe uncertainty, it has been shown that model output compared to experimental data contains irrevocable trade-offs between fidelity-to-data, robustness-to-uncertainty and confidence-in-prediction. We illustrate a strategy for information integration by gathering and aggregating all available data, knowledge, theory, experience, similar applications. Such integration of information becomes important when the physics is difficult to model, when observational data are sparse or difficult to measure, or both. To aggregate the available information, we take an inference perspective. Models are not rejected, nor wasted, but can be integrated into a final result. We show an example of information integration using Saaty's Analytic Hierarchy Process (AHP), integrating theory, simulation output and experimental data. We used expert elicitation to determine weights for two models and two experimental data sets, by forming pair-wise comparisons between model output and experimental data. In this way we transform epistemic and/or statistical strength from one field of study into another branch of physical application. The price to pay for utilizing all available knowledge is that inferences drawn for the integrated information must be accounted for and the costs can be considerable. Focusing on inferences and inference uncertainty (IU) is one way to understand complex information.

  1. TEG On-Vehicle Performance & Model Validation | Department of Energy

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

    TEG On-Vehicle Performance & Model Validation TEG On-Vehicle Performance & Model Validation Details efforts and results of steady-state and transient models validated with bench, engine dynamometer, and on-vehicle tests to measure actual performance deer12_lagrandeur.pdf (1.93 MB) More Documents & Publications Thermoelectric Generator Performance for Passenger Vehicles Combustion Exhaust Gas Heat to Power Using Thermoelectric Engines Thermoelectric Waste Heat Recovery Program for

  2. Choices and Requirements of Batteries for EVs, HEVs, PHEVs (Presentation)

    SciTech Connect (OSTI)

    Pesaran, A. A.

    2011-04-01

    This presentation describes the choices available and requirements for batteries for electric vehicles, hybrid electric vehicles, plug-in hybrid electric vehicles.

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

  5. Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance

    SciTech Connect (OSTI)

    University of California, Berkeley; Addy, Nathan; Kiliccote, Sila; Mathieu, Johanna; Callaway, Duncan S.

    2012-06-13

    Accurate evaluation of the performance of buildings participating in Demand Response (DR) programs is critical to the adoption and improvement of these programs. Typically, we calculate load sheds during DR events by comparing observed electric demand against counterfactual predictions made using statistical baseline models. Many baseline models exist and these models can produce different shed calculations. Moreover, modelers implementing the same baseline model can make different modeling implementation choices, which may affect shed estimates. In this work, using real data, we analyze the effect of different modeling implementation choices on shed predictions. We focused on five issues: weather data source, resolution of data, methods for determining when buildings are occupied, methods for aligning building data with temperature data, and methods for power outage filtering. Results indicate sensitivity to the weather data source and data filtration methods as well as an immediate potential for automation of methods to choose building occupied modes.

  6. Vehicle Technologies Office Merit Review 2016: Vehicle Thermal System Modeling in Simulink

    Broader source: Energy.gov [DOE]

    Presentation given by National Renewable Energy Laboratory (NREL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting...

  7. Vehicle Technologies Office Merit Review 2016: Vehicle Lightweighting: Mass Reduction Spectrum Analysis and Process Cost Modeling

    Broader source: Energy.gov [DOE]

    Presentation given by IBIS Associates at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Lightweighting

  8. Economic Dispatch for Microgrid Containing Electric Vehicles via Probabilistic Modelling

    SciTech Connect (OSTI)

    Yao, Yin; Gao, Wenzhong; Momoh, James; Muljadi, Eduard

    2015-10-06

    In this paper, an economic dispatch model with probabilistic modeling is developed for microgrid. Electric power supply in microgrid consists of conventional power plants and renewable energy power plants, such as wind and solar power plants. Due to the fluctuation of solar and wind plants' output, an empirical probabilistic model is developed to predict their hourly output. According to different characteristics of wind and solar plants, the parameters for probabilistic distribution are further adjusted individually for both power plants. On the other hand, with the growing trend of Plug-in Electric Vehicle (PHEV), an integrated microgrid system must also consider the impact of PHEVs. Not only the charging loads from PHEVs, but also the discharging output via Vehicle to Grid (V2G) method can greatly affect the economic dispatch for all the micro energy sources in microgrid. This paper presents an optimization method for economic dispatch in microgrid considering conventional, renewable power plants, and PHEVs. The simulation results reveal that PHEVs with V2G capability can be an indispensable supplement in modern microgrid.

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

    Broader source: Energy.gov [DOE]

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

  10. EERE Success Story-Autonomie Modeling Tool Improves Vehicle Design and

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

    Testing, Informs New Fuel Economy Standards | Department of Energy Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel Economy Standards EERE Success Story-Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel Economy Standards December 21, 2015 - 9:45am Addthis Autonomie, an advanced vehicle modeling and design software package created by Argonne National laboratory with EERE support, is helping U.S. auto manufacturers develop the next

  11. Vehicle Technologies Office Merit Review 2016: ANL Vehicle Technologies Analysis Modeling Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Argonne National Laboratory (ANL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Analysis

  12. 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...

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

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

    Energy 8: November 23, 2009 Hybrid Vehicle Sales by Model Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model The number of all light vehicles sold declined about 18% from 2007 to 2008, while the number of hybrid vehicles sold declined about 11%. Five new hybrid models were sold in 2008; other than those, the only hybrid model that sold more in 2008 than in 2007 was the Nissan Altima. Despite the downturn in sales, the Toyota Prius continues to dominate hybrid sales. Hybrid Electric

  14. 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...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  16. Vehicle Technologies Office Merit Review 2016: BatPaC Model Development |

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

    Department of Energy BatPaC Model Development Vehicle Technologies Office Merit Review 2016: BatPaC Model Development Presentation given by Argonne National Laboratory (ANL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Batteries es228_ahmed_2016_o_web.pdf (1.17 MB) More Documents & Publications Vehicle Technologies Office Merit Review 2015: BatPaC Model Development Vehicle Technologies Office Merit

  17. Integrated Vehicle Thermal Management Systems (VTMS) Analysis/Modeling

    Broader source: Energy.gov [DOE]

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

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

    ScienceCinema (OSTI)

    Michael Wang

    2013-06-05

    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.

  19. An indirect latent informational conformity social influence choice model: Formulation and case study

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Maness, Michael; Cirillo, Cinzia

    2016-11-01

    The current state-of-the-art in social influence models of travel behavior is conformity models with direct benefit social influence effects. Indirect effects have seen limited development, but this paper presents a latent class discrete choice model of an indirect informational conformity hypothesis. Moreover, class membership depends on the proportion of group members who adopt a behavior. Membership into the more informed class causes changes in the preferences of those individuals thus making adoption more attractive. Equilibrium properties are derived for this model showing the possibility of multiple equilibria but under different conditions than the direct-benefit formulations. Social influence elasticity is derivedmore » for both models types. The informational conformity model can represent non-linear elasticity behavior unlike the direct-benefit formulation. Additionally, a two-stage control function is developed to obtain consistent parameter estimates in the presence of an endogenous class membership model covariate that is correlated with choice model unobservables. A case study to study social influence in bicycle ownership in the United States is presented. Our results showed that more informed households had a greater chance of owning a bike due to preference changes with less sensitivity to smaller home footprints and limited incomes. The behavioral hypothesis of positive preference change due to information transfer was confirmed. Observed ownership share closely matched predicted local-level equilibrium in some metropolitan areas but was unable to achieve expected prediction rate within confidence intervals. Finally, the elasticity of social influence was found to range locally from about 0.5% to 1.0%.« less

  20. Vehicle Technologies Office Merit Review 2015: Model Development and

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

    Temperature Performance of NOx Reduction Materials | Department of Energy Pacific Northwest National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about enhanced high and low temperature performance of NOx reduction materials. ace026_gao_2015_o.pdf (800.12 KB) More Documents & Publications Vehicle Technologies Office Merit Review 2014: Enhanced High and Low Temperature Performance of NOx Reduction

  1. 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...

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

    SciTech Connect (OSTI)

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

    2010-12-01

    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.

  3. Vehicle Technologies Office Merit Review 2015: BatPaC Model Development

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about BatPaC model...

  4. 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...

  5. Light-duty vehicle MPG (miles per gallon) and market shares report, Model year 1989

    SciTech Connect (OSTI)

    Williams, L.S. ); Hu, P.S. )

    1990-04-01

    This issue of Light-Duty Vehicle MPG and Market Shares Report: Model Year 1989 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 (e.g., Chevrolet is a make and Corsica is a model), from model year 1976 to model year 1989. 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 fuel economy changes to determine what caused the changes. Both new automobile and new light truck fleets experienced fuel economy losses of 0.5 mpg from the previous model year, dropping to 28.0 mpg for automobiles and 20.2 mpg for light trucks. This is the first observed decline in fuel economy of new automobiles since model year 1983 and the largest decline since model year 1976. The main reason for the fuel economy decline in automobiles was that every automobile size class showed either losses or no change in their fuel economies. The fuel economy decline in light trucks was primarily due to the fact that two popular size classes, large pickup and small utility vehicle, both experienced losses in their fuel economies. Overall, the sales-weighted fuel economy of the entire light-duty vehicle fleet (automobiles and light trucks) dropped to 25.0 mpg, a reduction of 0.5 mpg from model year 1988. 9 refs., 32 figs., 50 tabs.

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

    SciTech Connect (OSTI)

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

    1989-04-01

    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.

  7. Variation in Estimated Ozone-Related Health Impacts of Climate Change due to Modeling Choices and Assumptions

    SciTech Connect (OSTI)

    Post, Ellen S.; Grambsch, A.; Weaver, C. P.; Morefield, Philip; Huang, Jin; Leung, Lai-Yung R.; Nolte, Christopher G.; Adams, P. J.; Liang, Xin-Zhong; Zhu, J.; Mahoney, Hardee

    2012-11-01

    Future climate change may cause air quality degradation via climate-induced changes in meteorology, atmospheric chemistry, and emissions into the air. Few studies have explicitly modeled the potential relationships between climate change, air quality, and human health, and fewer still have investigated the sensitivity of estimates to the underlying modeling choices.

  8. National Alternative Vehicle (AFV) Day Odyssey

    Office of Energy Efficiency and Renewable Energy (EERE)

    National Alternative Fuel Vehicle (AFV) Day Odyssey is a biennial event dedicated to promoting cleaner choices in transportation.

  9. An Optimization Model for Plug-In Hybrid Electric Vehicles

    SciTech Connect (OSTI)

    Malikopoulos, Andreas; Smith, David E

    2011-01-01

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

  10. Alternative Motor Fuel Use Model

    Energy Science and Technology Software Center (OSTI)

    1992-11-16

    AMFU is a tool for the analysis and prediction of motor fuel use by highway vehicles. The model advances the art of vehicle stock modeling by including a representation of the choice of motor fuel for flexible and dual fuel vehicles.

  11. Modeling Electric Vehicle Benefits Connected to Smart Grids

    SciTech Connect (OSTI)

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

    2011-07-01

    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.

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

    Broader source: Energy.gov [DOE]

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

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

    SciTech Connect (OSTI)

    Jehlik, Forrest; LaClair, Tim J.

    2014-04-01

    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.

  14. Vehicle Technologies Office Merit Review 2014: Electrochemical Modeling of

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

    LMR-NMC Materials and Electrodes | Department of Energy electrochemical modeling of LMR-NMC materials and electrodes. es189_burrell_2014_o.pdf (2.78 MB) More Documents & Publications Examining Hysteresis in Lithium- and Manganese-Rich Composite Cathode Materials Electrochemistry Cell Model First-Principles Models of Properties of LMR-NMC Materials

  15. Impact of modeling Choices on Inventory and In-Cask Criticality Calculations for Forsmark 3 BWR Spent Fuel

    SciTech Connect (OSTI)

    Martinez-Gonzalez, Jesus S.; Ade, Brian J.; Bowman, Stephen M.; Gauld, Ian C.; Ilas, Germina; Marshall, William BJ J.

    2015-01-01

    Simulation of boiling water reactor (BWR) fuel depletion poses a challenge for nuclide inventory validation and nuclear criticality safety analyses. This challenge is due to the complex operating conditions and assembly design heterogeneities that characterize these nuclear systems. Fuel depletion simulations and in-cask criticality calculations are affected by (1) completeness of design information, (2) variability of operating conditions needed for modeling purposes, and (3) possible modeling choices. These effects must be identified, quantified, and ranked according to their significance. This paper presents an investigation of BWR fuel depletion using a complete set of actual design specifications and detailed operational data available for five operating cycles of the Swedish BWR Forsmark 3 reactor. The data includes detailed axial profiles of power, burnup, and void fraction in a very fine temporal mesh for a GE14 (10×10) fuel assembly. The specifications of this case can be used to assess the impacts of different modeling choices on inventory prediction and in-cask criticality, specifically regarding the key parameters that drive inventory and reactivity throughout fuel burnup. This study focused on the effects of the fidelity with which power history and void fraction distributions are modeled. The corresponding sensitivity of the reactivity in storage configurations is assessed, and the impacts of modeling choices on decay heat and inventory are addressed.

  16. MOBILE6 Vehicle Emission Modeling Software | Open Energy Information

    Open Energy Info (EERE)

    tools User Interface: Desktop Application Website: www.epa.govomsm6.htm Cost: Free References: http:www.epa.govomsm6.htm MOBILE6 is an emission factor model for...

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

    SciTech Connect (OSTI)

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

    2011-01-01

    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.

  18. Analyzing the Sensitivity of Hydrogen Vehicle Sales to Consumers' Preferences

    SciTech Connect (OSTI)

    Greene, David L; Lin, Zhenhong; Dong, Jing

    2013-01-01

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

  19. Estimating vehicle roadside encroachment frequency using accident prediction models

    SciTech Connect (OSTI)

    Miaou, S.-P.

    1996-07-01

    The existing data to support the development of roadside encroachment- based accident models are extremely limited and largely outdated. Under the sponsorship of the Federal Highway Administration and Transportation Research Board, several roadside safety projects have attempted to address this issue by providing rather comprehensive data collection plans and conducting pilot data collection efforts. It is clear from the results of these studies that the required field data collection efforts will be expensive. Furthermore, the validity of any field collected encroachment data may be questionable because of the technical difficulty to distinguish intentional from unintentional encroachments. This paper proposes an alternative method for estimating the basic roadside encroachment data without actually field collecting them. The method is developed by exploring the probabilistic relationships between a roadside encroachment event and a run-off-the-road event With some mild assumptions, the method is capable of providing a wide range of basic encroachment data from conventional accident prediction models. To illustrate the concept and use of such a method, some basic encroachment data are estimated for rural two-lane undivided roads. In addition, the estimated encroachment data are compared with the existing collected data. The illustration shows that the method described in this paper can be a viable approach to estimating basic encroachment data without actually collecting them which can be very costly.

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

    SciTech Connect (OSTI)

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

    2010-11-01

    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.

  1. Motor vehicle mpg and market shares report: first six months of model year 1984

    SciTech Connect (OSTI)

    Hu, P.S.; Greene, D.L.; Till, L.E.

    1984-10-01

    This issue of the publication reports the sales, market shares, estimated sales-weighted fuel economies, and other estimated sales-weighted vehicle characteristics of automobiles and light trucks for the first six months of model year 1984 and for the previous five model years. Comparisons and observations are made on the trends in these vehicles from one model year to the next. An improved methodology is used to allocate the yearly mpg changes among eight components, rather than the four reported in the previous reports. Sales of automobiles showed an increase of 21.8% from the first half of model year 1983. An even more striking increase was observed in the sales of light trucks: 42.2% from the first half of model year 1983. The first six months of model year 1984 experienced a gain of 0.21 mpg in sales-weighted automobile fuel economy. In contrast, light trucks experienced a loss of 0.83 mpg in fuel economy, from 20.52 mpg in model year 1983 to 19.69 mpg in the first half of model year 1984.

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

    Broader source: Energy.gov [DOE]

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

  3. Battery Choices for Different Plug-in HEV Configurations (Presentation)

    SciTech Connect (OSTI)

    Pesaran, A.

    2006-07-12

    Presents battery choices for different plug-in hybrid electric vehicle (HEV) configurations to reduce cost and to improve performance and life.

  4. Clean Cities 2012 Vehicle Buyer's Guide (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2012-03-01

    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

  5. Timeline for Customer Choices

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

    Revised September 28, 2015 TIMELINE FOR CUSTOMER CHOICES 2011 AND BEYOND - RECURRING CHOICES 1) Recurring Choices by Notice Deadlines: The choices below are made according to the...

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

    SciTech Connect (OSTI)

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

    2009-05-01

    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.

  7. The GREET Model Expansion for Well-to-Wheels Analysis of Heavy-Duty Vehicles

    SciTech Connect (OSTI)

    Cai, Hao; Burnham, Andrew; Wang, Michael; Hang, Wen; Vyas, Anant

    2015-05-01

    Heavy-duty vehicles (HDVs) account for a significant portion of the U.S. transportation sector’s fuel consumption, greenhouse gas (GHG) emissions, and air pollutant emissions. In our most recent efforts, we expanded the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREETTM) model to include life-cycle analysis of HDVs. In particular, the GREET expansion includes the fuel consumption, GHG emissions, and air pollutant emissions of a variety of conventional (i.e., diesel and/or gasoline) HDV types, including Class 8b combination long-haul freight trucks, Class 8b combination short-haul freight trucks, Class 8b dump trucks, Class 8a refuse trucks, Class 8a transit buses, Class 8a intercity buses, Class 6 school buses, Class 6 single-unit delivery trucks, Class 4 single-unit delivery trucks, and Class 2b heavy-duty pickup trucks and vans. These vehicle types were selected to represent the diversity in the U.S. HDV market, and specific weight classes and body types were chosen on the basis of their fuel consumption using the 2002 Vehicle Inventory and Use Survey (VIUS) database. VIUS was also used to estimate the fuel consumption and payload carried for most of the HDV types. In addition, fuel economy projections from the U.S. Energy Information Administration, transit databases, and the literature were examined. The U.S. Environmental Protection Agency’s latest Motor Vehicle Emission Simulator was employed to generate tailpipe air pollutant emissions of diesel and gasoline HDV types.

  8. 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)

    Appending High-Resolution Elevation Data to GPS Speed Traces for Vehicle Energy Modeling and Simulation E. Wood, E. Burton, A. Duran, and J. Gonder Technical Report NREL/TP-5400-61109 June 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No.

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

    SciTech Connect (OSTI)

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

    2014-06-01

    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.

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

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

    areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. ...

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

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

    areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. ...

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

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

    areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. ...

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

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

    Application of Distribution Transformer Thermal Life Models to Electrified Vehicle Charging Loads Using Monte-Carlo Method Preprint Michael Kuss, Tony Markel, and William Kramer Presented at the 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exhibition Shenzhen, China November 5 - 9, 2010 Conference Paper NREL/CP-5400-48827 January 2011 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor

  14. Household Vehicles Energy Consumption 1991

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

    more fuel-efficient vehicles, and the implementation of Corporate Average Fuel Economy (CAFE) 6 standards. Figure 13. Average Fuel Efficiency of All Vehicles, by Model Year 6...

  15. Mathematical model of unmanned aerial vehicle used for endurance autonomous monitoring

    SciTech Connect (OSTI)

    Chelaru, Teodor-Viorel; Chelaru, Adrian

    2014-12-10

    The paper purpose is to present some aspects regarding the control system of unmanned aerial vehicle - UAV, used to local observations, surveillance and monitoring interest area. The calculus methodology allows a numerical simulation of UAV evolution in bad atmospheric conditions by using nonlinear model, as well as a linear one for obtaining guidance command. The UAV model which will be presented has six DOF (degrees of freedom), and autonomous control system. This theoretical development allows us to build stability matrix, command matrix and control matrix and finally to analyse the stability of autonomous UAV flight. A robust guidance system, based on uncoupled state will be evaluated for different fly conditions and the results will be presented. The flight parameters and guidance will be analysed.

  16. An extended supersonic combustion model for the dynamic analysis of hypersonic vehicles. Interim Task Report

    SciTech Connect (OSTI)

    Bossard, J.A.; Peck, R.E.; Schmidt, D.K.

    1993-03-01

    The development of an advanced dynamic model for aeroelastic hypersonic vehicles powered by air breathing engines requires an adequate engine model. This report provides a discussion of some of the more important features of supersonic combustion and their relevance to the analysis and design of supersonic ramjet engines. Of particular interest are those aspects of combustion that impact the control of the process. Furthermore, the report summarizes efforts to enhance the aeropropulsive/aeroelastic dynamic model developed at the Aerospace Research Center of Arizona State University by focusing on combustion and improved modeling of this flow. The expanded supersonic combustor model described here has the capability to model the effects of friction, area change, and mass addition, in addition to the heat addition process. A comparison is made of the results from four cases: (1) heat addition only; (2) heat addition plus friction; (3) heat addition, friction, and area reduction, and (4) heat addition, friction, area reduction, and mass addition. The relative impact of these effects on the Mach number, static temperature, and static pressure distributions within the combustor are then shown. Finally, the effects of frozen versus equilibrium flow conditions within the exhaust plume is discussed.

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

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

    FFVs can be fueled with unleaded gasoline, E85, or any combination of the two. Today more ... 9-5 Biopower Transportation Fuels: The Future is Today (6 Activities) Current State of ...

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

    Broader source: Energy.gov [DOE]

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

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

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

    Department of Energy Delivery Vehicles Vehicle Technologies Office - AVTA: Hybrid-Electric Delivery Vehicles 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 (part of the medium and

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

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

    Department of Energy Tractor Vehicles Vehicle Technologies Office - AVTA: Hybrid-Electric Tractor Vehicles 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 (part of the medium and

  1. Fact #938: August 15, 2016 Median All-Electric Vehicle Range Grew from 73 Miles in Model Year 2011 to 83.5 Miles in Model Year 2016- Dataset

    Office of Energy Efficiency and Renewable Energy (EERE)

    Excel file and dataset for Median All-Electric Vehicle Range Grew from 73 Miles in Model Year 2011 to 83.5 Miles in Model Year 2016

  2. Vehicle Technologies Office Merit Review 2016: Evaluation of Vehicle Technology Benefits on Real World Driving Cycles using Regional Transportation System Model

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory (ANL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Vehicle...

  3. Energy Star Concepts for Highway Vehicles

    SciTech Connect (OSTI)

    Greene, D.L.

    2003-06-24

    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.

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

    Broader source: Energy.gov [DOE]

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

  5. Vehicle Technologies Office Merit Review 2015: Coupling Mechanical with Electrochemical-Thermal Models Batteries Under Abuse

    Broader source: Energy.gov [DOE]

    Presentation given by National Renewable Energy Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about coupling...

  6. 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,...

  7. Vehicle Technologies Office Merit Review 2016: CLEERS: Aftertreatment Modeling and Analysis

    Broader source: Energy.gov [DOE]

    Presentation given by Pacific Northwest National Laboratory (PNNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting...

  8. Vehicle Technologies Office Merit Review 2015: Joint Development and Coordination of Emissions Control Data and Models

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about joint...

  9. Vehicle Technologies Office Merit Review 2016: Model Development and Analysis of Clean & Efficient Engine Combustion

    Broader source: Energy.gov [DOE]

    Presentation given by Lawrence Livermore National Laboratory (LLNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting...

  10. Vehicle Technologies Office Merit Review 2016: Modeling & Controls Software Tools to Support V2G Integration

    Broader source: Energy.gov [DOE]

    Presentation given by Lawrence Berkeley National Laboratory (LBNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting...

  11. Vehicle Technologies Office Merit Review 2015: Unified Modeling, Simulation, and Market Implications: FASTSim and ADOPT

    Broader source: Energy.gov [DOE]

    Presentation given by National Renewable Energy Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about unified...

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

    Broader source: Energy.gov [DOE]

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

  13. Vehicle Technologies Office Merit Review 2015: Continuum Modeling as a Guide to Developing New Battery Materials

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Lawrence Berkley National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

  14. Vehicle Technologies Office Merit Review 2015: Chemical Kinetic Models for Advanced Engine Combustion

    Broader source: Energy.gov [DOE]

    Presentation given by Lawrence Livermore National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

  15. 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...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  17. Vehicle Technologies Office Merit Review 2015: Cell Analysis, Modeling, and Prototyping (CAMP) Facility Research Activities

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about Cell Analysis,...

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

    SciTech Connect (OSTI)

    Giorgio Rizzoni

    2005-09-30

    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

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

    SciTech Connect (OSTI)

    Nelson, P. A. Gallagher, K. G. Bloom, I. Dees, D. W.

    2011-10-20

    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

  20. Vehicle Technologies Office Merit Review 2015: Transportation Energy Transition Modeling and Analysis: the LAVE-Trans Model

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about transportation...

  1. Quantifying EV battery end-of-life through analysis of travel needs with vehicle powertrain models

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Saxena, Samveg; Le Floch, Caroline; MacDonald, Jason; Moura, Scott

    2015-05-15

    Electric vehicles enable clean and efficient transportation; however, concerns about range anxiety and battery degradation hinder EV adoption. The common definition for battery end-of-life is when 70-80% of original energy capacity remain;, however, little analysis is available to support this retirement threshold. By applying detailed physics-based models of EVs with data on how drivers use their cars, we show that EV batteries continue to meet daily travel needs of drivers well beyond capacity fade of 80% remaining energy storage capacity. Further, we show that EV batteries with substantial energy capacity fade continue to provide sufficient buffer charge for unexpected tripsmore » with long distances. We show that enabling charging in more locations, even if only with 120 V wall outlets, prolongs useful life of EV batteries. Battery power fade is also examined and we show EVs meet performance requirements even down to 30% remaining power capacity. Our findings show that defining battery retirement at 70-80% remaining capacity is inaccurate. Battery retirement should instead be governed by when batteries no longer satisfy daily travel needs of a driver. Using this alternative retirement metric, we present results on the fraction of EV batteries that may be retired with different levels of energy capacity fade.« less

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

    SciTech Connect (OSTI)

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

    2010-03-31

    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.

  3. Quantifying EV battery end-of-life through analysis of travel needs with vehicle powertrain models

    SciTech Connect (OSTI)

    Saxena, Samveg; Le Floch, Caroline; MacDonald, Jason; Moura, Scott

    2015-05-15

    Electric vehicles enable clean and efficient transportation; however, concerns about range anxiety and battery degradation hinder EV adoption. The common definition for battery end-of-life is when 70-80% of original energy capacity remain;, however, little analysis is available to support this retirement threshold. By applying detailed physics-based models of EVs with data on how drivers use their cars, we show that EV batteries continue to meet daily travel needs of drivers well beyond capacity fade of 80% remaining energy storage capacity. Further, we show that EV batteries with substantial energy capacity fade continue to provide sufficient buffer charge for unexpected trips with long distances. We show that enabling charging in more locations, even if only with 120 V wall outlets, prolongs useful life of EV batteries. Battery power fade is also examined and we show EVs meet performance requirements even down to 30% remaining power capacity. Our findings show that defining battery retirement at 70-80% remaining capacity is inaccurate. Battery retirement should instead be governed by when batteries no longer satisfy daily travel needs of a driver. Using this alternative retirement metric, we present results on the fraction of EV batteries that may be retired with different levels of energy capacity fade.

  4. Vehicle Technologies Office Merit Review 2016: Cell Analysis, Modeling, and Prototyping (CAMP) Facility Research Activities

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory (ANL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Batteries

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

    Broader source: Energy.gov [DOE]

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

  6. 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...

  7. Vehicle Technologies Office Merit Review 2015: Improve Fuel Economy through Formulation Design and Modeling

    Broader source: Energy.gov [DOE]

    Presentation given by Ashland Inc. at 2015 DOE Hydrogen and Fuel Cells Program and vehicle technologies office annual merit review and peer evaluation meeting about improve fuel economy through...

  8. HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution) Model Analysis

    Broader source: Energy.gov [DOE]

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

  9. Vehicle Technologies Office Merit Review 2016: Transportation Energy Evolution Modeling (TEEM) Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Oak Ridge National Laboratory (ORNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about...

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

    SciTech Connect (OSTI)

    Thomas, John F

    2014-01-01

    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.

  11. Drive Cycle Powertrain Efficiencies and Trends Derived from EPA Vehicle Dynamometer Results

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Thomas, John

    2014-10-13

    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 asmore » 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.« less

  12. Drive Cycle Powertrain Efficiencies and Trends Derived from EPA Vehicle Dynamometer Results

    SciTech Connect (OSTI)

    Thomas, John

    2014-10-13

    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.

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

    SciTech Connect (OSTI)

    Ogden, J.; Steinbugler, M.; Kreutz, T.

    1997-12-31

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

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

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

    Testing R&D Annual Progress Report | Department of Energy Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2010 Vehicle and Systems Simulation and Testing R&D Annual Progress Report 2010 annual report focusing on five main areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. 2010_vsst_report.pdf (25.23 MB)

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

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

    Testing R&D Annual Progress Report | Department of Energy Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2012 Vehicle and Systems Simulation and Testing R&D Annual Progress Report FY 2012 annual report focusing on five main areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. 2012_vsst_report.pdf (32.4

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

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

    Testing R&D Annual Progress Report | Department of Energy Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2013 Vehicle and Systems Simulation and Testing R&D Annual Progress Report FY 2013 annual report focuses on the following areas: vehicle modeling and simulation, component and systems evaluations, laboratory and field evaluations, codes and standards, industry projects, and vehicle systems optimization. 2013_vsst_report.pdf

  17. MOBILE4. 1: Highway-vehicle mobile-source emission-factor model (Apple MacIntosh version) (for microcomputers). Model-Simulation

    SciTech Connect (OSTI)

    Not Available

    1991-08-01

    MOBILE4.1 is the latest revision to EPA's highway vehicle mobile source emission factor model. Relative to MOBILE4, it contains numerous revisions and provides the user with additional options for modeling highway vehicle emission factors. it will calculate emission factors for hydrocarbons (HC), carbon monoxide, (CO), and oxides of nitrogen (NOx) from highway motor vehicles. It calculates emission factors for eight individual vehicle types, in two regions of the country (low and high altitude). The emission factors depend on various conditions such as ambient temperature, fuel volatility, speed, and mileage accrual rates. It will estimate emission factors for any calendar year between 1960 and 2020 inclusive. The 25 most recent model years are considered in operation in each calendar year. EPA is requiring that states and others preparing emission inventories for nonattainment areas for CO and ozone to use MOBILE4.1 in the development of the base year 1990 emission inventories required under the Clean Air Act of 1990.

  18. 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...

  19. Vehicle Crashworthiness

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

    Battery Basics Vehicle Battery Basics November 22, 2013 - 1:58pm Addthis Vehicle Battery Basics Batteries are essential for electric drive technologies such as hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and all-electric vehicles (AEVs). WHAT IS A BATTERY? A battery is a device that stores chemical energy and converts it on demand into electrical energy. It carries out this process through an electrochemical reaction, which is a chemical reaction involving the

  20. Household Vehicles Energy Use: Latest Data & Trends

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

    vehicle type, and vehicle model year. "600" - represents a "match" based on EIA expert analysis using subject matter experience, in conjunction with past RTECS. Additionally,...

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

    SciTech Connect (OSTI)

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

    2011-01-01

    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.

  2. 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...

  3. Vehicle Technologies Office Merit Review 2015: 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 at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about first principles modeling of...

  4. Vehicle Technologies Office: Natural Gas Research | Department...

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

    In addition, natural gas can be a very good choice for light-duty vehicle fleets with central refueling. See the Alternative Fuels Data Center for a description of the uses and ...

  5. Analysis of Casualty Risk per Police-Reported Crash for Model Year 2000 to 2004 Vehicles, using Crash Data from Five States

    SciTech Connect (OSTI)

    Wenzel, Tom

    2011-03-20

    In this report we compare two measures of driver risks: fatality risk per vehicle registration-year, and casualty (fatality plus serious injury) risk per police-reported crash. Our analysis is based on three sets of data from five states (Florida, Illinois, Maryland, Missouri, and Pennsylvania): data on all police-reported crashes involving model year 2000 to 2004 vehicles; 2005 county-level vehicle registration data by vehicle model year and make/model; and odometer readings from vehicle emission inspection and maintenance (I/M) programs conducted in urban areas of four of the five states (Florida does not have an I/M program). The two measures of risk could differ for three reasons: casualty risks are different from fatality risk; risks per vehicle registration-year are different from risks per crash; and risks estimated from national data are different from risks from the five states analyzed here. We also examined the effect of driver behavior, crash location, and general vehicle design on risk, as well as sources of potential bias in using the crash data from five states.

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

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

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

  7. Vehicles and Fuels | Department of Energy

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

    Electricity & Fuel » Vehicles and Fuels Vehicles and Fuels You could be stuck in a traffic jam even while surrounded by beautiful wilderness. Make smart driving choices to reduce your environmental impact and reduce your fuel use and costs. | Photo courtesy of Melissa Howell/NREL. You could be stuck in a traffic jam even while surrounded by beautiful wilderness. Make smart driving choices to reduce your environmental impact and reduce your fuel use and costs. | Photo courtesy of Melissa

  8. AVTA: 2010 Electric Vehicles International Neighborhood Electric Vehicle Testing Results

    Broader source: Energy.gov [DOE]

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

  9. Onboard fuel reformers for fuel cell vehicles: Equilibrium, kinetic and system modeling

    SciTech Connect (OSTI)

    Kreutz, T.G.; Steinbugler, M.M.; Ogden, J.M.

    1996-12-31

    On-board reforming of liquid fuels to hydrogen for use in proton exchange membrane (PEM) fuel cell electric vehicles (FCEVs) has been the subject of numerous investigations. In many respects, liquid fuels represent a more attractive method of carrying hydrogen than compressed hydrogen itself, promising greater vehicle range, shorter refilling times, increased safety, and perhaps most importantly, utilization of the current fuel distribution infrastructure. The drawbacks of on-board reformers include their inherent complexity [for example a POX reactor includes: a fuel vaporizer, a reformer, water-gas shift reactors, a preferential oxidation (PROX) unit for CO cleanup, heat exchangers for thermal integration, sensors and controls, etc.], weight, and expense relative to compressed H{sub 2}, as well as degraded fuel cell performance due to the presence of inert gases and impurities in the reformate. Partial oxidation (POX) of automotive fuels is another alternative for hydrogen production. This paper provides an analysis of POX reformers and a fuel economy comparison of vehicles powered by on-board POX and SRM fuel processors.

  10. Electric Vehicles

    Broader source: Energy.gov [DOE]

    This album contains a variety of all-electric, plug-in hybrid electric and fuel cell electric vehicles. For a full list of all electric vehicles visit the EV Everywhere website.

  11. Vehicle Aerodynamics

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

    Vehicle Aerodynamics Background Tougher emissions standards, as well as industry demands for more powerful engines and new vehicle equipment, continue to increase the heat rejection requirements of heavy-duty vehicles. However, changes in the physical configuration and weight of these vehicles can affect how they handle wind resistance and energy loss due to aerodynamic drag. Role of High-Performance Computing The field of computational fluid dynamics (CFD) offers researchers the ability to

  12. Federal certification test results for 1992 model year. Control of air pollution from new motor vehicles and new motor vehicle engines

    SciTech Connect (OSTI)

    Not Available

    1992-01-01

    Each manufacturer of a passenger car, (light-duty-vehicle), light-duty truck, motorcycle, heavy-duty gasoline engine, and heavy-duty diesel engine is required to demonstrate compliance with the applicable exhaust emission standard. This report contains all of the individual tests that were required by the certification-procedures found in Title 40 of the Code of Federal Regulations in Part 86. These data were submitted to the Environmental Protection Agency's Certification Division at the National Vehicle and Fuel Emissions Laboratory.

  13. Vehicle Technologies Office: Transportation System Analytical Tools |

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

    Department of Energy Modeling, Testing, Data & Results » Vehicle Technologies Office: Transportation System Analytical Tools Vehicle Technologies Office: Transportation System Analytical Tools The Vehicle Technologies Office (VTO) has supported the development of a number of software packages and online tools to model individual vehicles and the overall transportation system. Most of these tools are available for free or a nominal charge. Modeling tools that simulate entire vehicles and

  14. Hydrogen vehicle fueling station

    SciTech Connect (OSTI)

    Daney, D.E.; Edeskuty, F.J.; Daugherty, M.A.

    1995-09-01

    Hydrogen fueling stations are an essential element in the practical application of hydrogen as a vehicle fuel, and a number of issues such as safety, efficiency, design, and operating procedures can only be accurately addressed by a practical demonstration. Regardless of whether the vehicle is powered by an internal combustion engine or fuel cell, or whether the vehicle has a liquid or gaseous fuel tank, the fueling station is a critical technology which is the link between the local storage facility and the vehicle. Because most merchant hydrogen delivered in the US today (and in the near future) is in liquid form due to the overall economics of production and delivery, we believe a practical refueling station should be designed to receive liquid. Systems studies confirm this assumption for stations fueling up to about 300 vehicles. Our fueling station, aimed at refueling fleet vehicles, will receive hydrogen as a liquid and dispense it as either liquid, high pressure gas, or low pressure gas. Thus, it can refuel any of the three types of tanks proposed for hydrogen-powered vehicles -- liquid, gaseous, or hydride. The paper discusses the fueling station design. Results of a numerical model of liquid hydrogen vehicle tank filling, with emphasis on no vent filling, are presented to illustrate the usefulness of the model as a design tool. Results of our vehicle performance model illustrate our thesis that it is too early to judge what the preferred method of on-board vehicle fuel storage will be in practice -- thus our decision to accommodate all three methods.

  15. A technical review of urban land use - transportation models as tools for evaluating vehicle travel reduction strategies

    SciTech Connect (OSTI)

    Southworth, F.

    1995-07-01

    The continued growth of highway traffic in the United States has led to unwanted urban traffic congestion as well as to noticeable urban air quality problems. These problems include emissions covered by the 1990 Clean Air Act Amendments (CAAA) and 1991 Intermodal Surface Transportation Efficiency Act (ISTEA), as well as carbon dioxide and related {open_quotes}greenhouse gas{close_quotes} emissions. Urban travel also creates a major demand for imported oil. Therefore, for economic as well as environmental reasons, transportation planning agencies at both the state and metropolitan area level are focussing a good deal of attention on urban travel reduction policies. Much discussed policy instruments include those that encourage fewer trip starts, shorter trip distances, shifts to higher-occupancy vehicles or to nonvehicular modes, and shifts in the timing of trips from the more to the less congested periods of the day or week. Some analysts have concluded that in order to bring about sustainable reductions in urban traffic volumes, significant changes will be necessary in the way our households and businesses engage in daily travel. Such changes are likely to involve changes in the ways we organize and use traffic-generating and-attracting land within our urban areas. The purpose of this review is to evaluate the ability of current analytic methods and models to support both the evaluation and possibly the design of such vehicle travel reduction strategies, including those strategies involving the reorganization and use of urban land. The review is organized into three sections. Section 1 describes the nature of the problem we are trying to model, Section 2 reviews the state of the art in operational urban land use-transportation simulation models, and Section 3 provides a critical assessment of such models as useful urban transportation planning tools. A number of areas are identified where further model development or testing is required.

  16. Electric vehicles

    SciTech Connect (OSTI)

    Not Available

    1990-03-01

    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.

  17. Vehicle Technologies Office: Integration, Validation and Testing Tools and

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

    Procedures | Department of Energy Modeling, Testing, Data & Results » Vehicle Technologies Office: Integration, Validation and Testing Tools and Procedures Vehicle Technologies Office: Integration, Validation and Testing Tools and Procedures The Vehicle Technologies Office supports facilities and tools such as Oak Ridge National Laboratory's Vehicle Systems Integration Laboratory to integrate, validate, and test advanced vehicle technologies. Read the text version. The Vehicle

  18. LD Vehicles AFDC 11 25 13 TC.xlsx

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

    Model Year 2014: Alternative Fuel and Advanced Technology Vehicles 1 (Updated 11252013) MY FuelPowertrain Type Make Model Vehicle Type Engine SizeCylinders Transmission...

  19. Electric Vehicles

    ScienceCinema (OSTI)

    Ozpineci, Burak

    2014-07-23

    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.

  20. Electric Vehicles

    SciTech Connect (OSTI)

    Ozpineci, Burak

    2014-05-02

    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.

  1. Electric Drive Dynamic Thermal System Model for Advanced Vehicle Propulsion Technologies: Cooperative Research and Development Final Report, CRADA Number CRD-09-360

    SciTech Connect (OSTI)

    Bennion, K.

    2013-10-01

    Electric drive systems, which include electric machines and power electronics, are a key enabling technology for advanced vehicle propulsion systems that reduce the dependence of the U.S. transportation sector on petroleum. However, to penetrate the market, these electric drive technologies must enable vehicle solutions that are economically viable. The push to make critical electric drivesystems smaller, lighter, and more cost-effective brings respective challenges associated with heat removal and system efficiency. In addition, the wide application of electric drive systems to alternative propulsion technologies ranging from integrated starter generators, to hybrid electric vehicles, to full electric vehicles presents challenges in terms of sizing critical components andthermal management systems over a range of in-use operating conditions. This effort focused on developing a modular modeling methodology to enable multi-scale and multi-physics simulation capabilities leading to generic electric drive system models applicable to alternative vehicle propulsion configurations. The primary benefit for the National Renewable Energy Laboratory (NREL) is the abilityto define operating losses with the respective impact on component sizing, temperature, and thermal management at the component, subsystem, and system level. However, the flexible nature of the model also allows other uses related to evaluating the impacts of alternative component designs or control schemes depending on the interests of other parties.

  2. Vehicle Technologies Office: 2009 Advanced Vehicle Technology...

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

    Well-to-Wheels Analysis of Energy Use and Greenhouse Gas Emissions of Plug-In Hybrid Electric Vehicles Vehicle Technologies Office: 2008 Advanced Vehicle Technology Analysis and ...

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

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

    Vehicle Technologies Office: AVTA - Electric Vehicle Community and Fleet Readiness Data and Reports Making plug-in electric vehicles (PEVs, also known as electric cars) as ...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

    Broader source: Energy.gov [DOE]

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

  6. Modeling the Performance and Cost of Lithium-Ion Batteries for Electric-Drive Vehicles - SECOND EDITION

    SciTech Connect (OSTI)

    Nelson, Paul A.; Gallagher, Kevin G.; Bloom, Ira D.; Dees, Dennis W.

    2012-01-01

    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 publicly available model that performs a bottom-up lithium-ion battery design and cost calculation. Both the model and the report have been publicly 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

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

    SciTech Connect (OSTI)

    Shiau, Huai-Suen; Janik, Michael J.; Liu, Wenjuan; Colby, Ralph H.

    2013-11-28

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

  8. 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...

  9. Vehicle Technologies Office Merit Review 2016: Heavy-Duty Low-Temperature and Diesel Combustion & Heavy-Duty Combustion Modeling

    Broader source: Energy.gov [DOE]

    Presentation given by Sandia National Laboratory (SNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about...

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

    Broader source: Energy.gov [DOE]

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

  11. Vehicle Technologies Office Merit Review 2015: Significant Enhancement of Computational Efficiency in Nonlinear Multiscale Battery Model for Computer Aided Engineering

    Broader source: Energy.gov [DOE]

    Presentation given by National Renewable Energy Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

  12. Vehicle Technologies Office Merit Review 2016: Validation of Material Models for Crash Simulation of Automotive Carbon Fiber Composite Structures (VMM)

    Broader source: Energy.gov [DOE]

    Presentation given by Ford at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Lightweighting

  13. Vehicle Technologies Office Merit Review 2015: Developing Kinetic Mechanisms for New Fuels and Biofuels, Including CFD Modeling

    Broader source: Energy.gov [DOE]

    Presentation given by Lawrence Livermore National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and vehicle technologies office annual merit review and peer evaluation meeting about...

  14. Vehicle Technologies Office Merit Review 2015: Advancements in Fuel Spray and Combustion Modeling with High Performance Computing Resources

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Argonne National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about advancements in...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  16. 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...

  17. Vehicle Technologies Office Merit Review 2015: Accelerate the Development and Introduction of Advanced Technologies Through Model Based System Engineering

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about accelerate the...

  18. TRACKED VEHICLE Rev 75

    SciTech Connect (OSTI)

    Raby, Eric Y.

    2007-05-08

    Revision 75 of the Tracked Vehicle software is a soft real-time simulation of a differentially steered, tracked mobile robot, which, because of the track flippers, resembles the iRobot PackBot (http://www.irobot.com/). Open source libraries are used for the physics engine (http://www.ode.org/), the display and user interface (http://www.mathies.com/cpw/), and the program command line and configuration file parameters (http://www.boost.org/). The simulation can be controlled by a USB joystick or the keyboard. The configuration file contains demonstration model parameters of no particular vehicle. This simulation can be used as a starting point for those doing tracked vehicle simulations. This simulation software is essentially a research tool which can be modified and adapted for certain types of tracked vehicle research. An open source license allows an individual researchers to tailor the code to their specific research needs.

  19. TRACKED VEHICLE Rev 75

    Energy Science and Technology Software Center (OSTI)

    2007-05-08

    Revision 75 of the Tracked Vehicle software is a soft real-time simulation of a differentially steered, tracked mobile robot, which, because of the track flippers, resembles the iRobot PackBot (http://www.irobot.com/). Open source libraries are used for the physics engine (http://www.ode.org/), the display and user interface (http://www.mathies.com/cpw/), and the program command line and configuration file parameters (http://www.boost.org/). The simulation can be controlled by a USB joystick or the keyboard. The configuration file contains demonstration model parametersmore » of no particular vehicle. This simulation can be used as a starting point for those doing tracked vehicle simulations. This simulation software is essentially a research tool which can be modified and adapted for certain types of tracked vehicle research. An open source license allows an individual researchers to tailor the code to their specific research needs.« less

  20. Robotic vehicle

    DOE Patents [OSTI]

    Box, W.D.

    1998-08-11

    A robotic vehicle is described 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 extendible appendages, each of which is radially extendible 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 extendible 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. 20 figs.

  1. Robotic vehicle

    DOE Patents [OSTI]

    Box, W. Donald

    1997-01-01

    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.

  2. Robotic vehicle

    DOE Patents [OSTI]

    Box, W. Donald

    1998-01-01

    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.

  3. Robotic vehicle

    DOE Patents [OSTI]

    Box, W.D.

    1997-02-11

    A robotic vehicle is described 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. 20 figs.

  4. Vehicle Technologies Office: Data and Results | Department of Energy

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

    Modeling, Testing, Data & Results » Vehicle Technologies Office: Data and Results Vehicle Technologies Office: Data and Results The Vehicle Technologies Office works with its national laboratories and industry partners to collect and report data on vehicle performance, research projects, and the transportation sector. Vehicle Performance Data The Vehicle Technologies Office supports the Advanced Vehicle Testing Activity, which collects on-road and in-laboratory data on advanced and

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

    SciTech Connect (OSTI)

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

    1994-12-15

    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.

  6. Electric and Hybrid Electric Vehicle Sales: December 2010 - June...

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

    Electric and Hybrid Electric Vehicle Sales: December 2010 - June 2013 Sales data for various models of electric and hybrid electric vehicles from December 2010 through June 2013. ...

  7. Modeling the Behaviour of an Advanced Material Based Smart Landing Gear System for Aerospace Vehicles

    SciTech Connect (OSTI)

    Varughese, Byji; Dayananda, G. N.; Rao, M. Subba

    2008-07-29

    The last two decades have seen a substantial rise in the use of advanced materials such as polymer composites for aerospace structural applications. In more recent years there has been a concerted effort to integrate materials, which mimic biological functions (referred to as smart materials) with polymeric composites. Prominent among smart materials are shape memory alloys, which possess both actuating and sensory functions that can be realized simultaneously. The proper characterization and modeling of advanced and smart materials holds the key to the design and development of efficient smart devices/systems. This paper focuses on the material characterization; modeling and validation of the model in relation to the development of a Shape Memory Alloy (SMA) based smart landing gear (with high energy dissipation features) for a semi rigid radio controlled airship (RC-blimp). The Super Elastic (SE) SMA element is configured in such a way that it is forced into a tensile mode of high elastic deformation. The smart landing gear comprises of a landing beam, an arch and a super elastic Nickel-Titanium (Ni-Ti) SMA element. The landing gear is primarily made of polymer carbon composites, which possess high specific stiffness and high specific strength compared to conventional materials, and are therefore ideally suited for the design and development of an efficient skid landing gear system with good energy dissipation characteristics. The development of the smart landing gear in relation to a conventional metal landing gear design is also dealt with.

  8. Autonomous vehicles

    SciTech Connect (OSTI)

    Meyrowitz, A.L.; Blidberg, D.R.; Michelson, R.C. |

    1996-08-01

    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.

  9. Motor vehicle MPG and market shares report. MPG and market share data system, model year 1983

    SciTech Connect (OSTI)

    Hu, P.S.; Roberts, G.F.

    1984-02-01

    Estimates of final model year 1983 new car and new light truck MPG are provided. ORNL has modified the procedure for calculating new car MPG. The new procedure takes into account the sales mix of engine size, engine type (gasoline or diesel), and transmission type within a nameplate (car line). For example, the new ORNL method takes into account that over 60 percent of the Chevettes in 1983 were the gasoline version (98 CID engine displacement) with a 3-speed automatic transmission. Also, the three diesel model types accounted for only about 1 percent of the Chevette sales. This new method estimated the Chevette MPG for 1983 to be 33.2, nearly 5 MPG lower than the estimate based on the old method. Since this report contains revised new car MPG estimates for every year, the fuel economy estimates in this report are not comparable to those in any previous ORNL report. The estimates of new light truck MPG have not been revised, however.

  10. Vehicle Technologies Office Merit Review 2016: Assessing Energy and Cost Impact of Advanced Technologies through Model Based Design

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Argonne National Laboratory (ANL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Analysis

  11. Vehicle Technologies Office Merit Review 2016: Joint Development and Coordination of Emissions Control Data and Models (CLEERS Analysis and Coordination)

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Oak Ridge National Laboratory (ORNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about...

  12. Vehicle Technologies Office Merit Review 2015: Heavy-Duty Low-Temperature and Diesel Combustion & Heavy-Duty Combustion Modeling

    Broader source: Energy.gov [DOE]

    Presentation given by Sandia National Laboratories at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about heavy-duty low...

  13. 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...

  14. Vehicle Technologies Office Merit Review 2015: 2015 KIVA-hpFE Development: A Robust and Accurate Engine Modeling Software

    Broader source: Energy.gov [DOE]

    Presentation given by Los Alamos National Laboratory  at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about 2015 KIVA...

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

    Broader source: Energy.gov [DOE]

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

  16. Vehicle Technologies Office Merit Review 2015: Assessing the Outlook of US Oil Dependence Using Oil Security Metrics Model (OSMM)

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Oak Ridge National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about assessing the...

  17. Vehicle Technologies Office Merit Review 2015: Validation of Material Models for Crash Simulation of Automotive Carbon Fiber Composite Structures (VMM)

    Broader source: Energy.gov [DOE]

    Presentation given by Ford Motor Company at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about validation of material...

  18. 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...

  19. Vehicle Technologies Office Merit Review 2015: Efficient Safety and Degradation Modeling of Automotive Li-ion Cells and Pack

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by EC-Power at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about efficient safety and degradation...

  20. 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...

  1. Vehicle Technologies Office: Benchmarking | Department of Energy

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

    Modeling, Testing, Data & Results » Vehicle Technologies Office: Benchmarking Vehicle Technologies Office: Benchmarking Research funded by the Vehicle Technologies Office produces a great deal of valuable data, but it is important to compare those research results with both baseline data and similar work done elsewhere in the world. Through laboratory testing to develop points of reference (known as benchmarking), researchers can compare vehicles and components to validate models, support

  2. Vehicles | Department of Energy

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

    DOE has also pioneered better combustion engines that have saved billions of gallons of petroleum fuel, while making diesel vehicles as clean as gasoline-fueled vehicles. Vehicle ...

  3. Robotic vehicle

    DOE Patents [OSTI]

    Box, W.D.

    1994-03-15

    A robotic vehicle is described for travel through an enclosed or partially enclosed conduit or pipe including vertical and/or horizontal conduit or pipe. The robotic vehicle comprises forward and rear housings each provided with a surface engaging mechanism for selectively engaging the walls of the conduit through which the vehicle is travelling, whereby the housings are selectively held in a stationary position within the conduit. The vehicle also includes at least three selectively extendable members, each of which defines a cavity therein. The forward end portion of each extendable member is secured to the forward housing and the rear end portion of each housing is secured to the rear housing. Each of the extendable members is independently extendable from a retracted position to an extended position upon the injection of a gas under pressure into the cavity of the extendable member such that the distance between the forward housing and the rear housing can be selectively increased. Further, each of the extendable members is independently retractable from the extended position to the retracted position upon the application of a vacuum to the cavity of the extendable member such that the distance between the forward housing and the rear housing can be selectively decreased. 11 figures.

  4. Robotic vehicle

    DOE Patents [OSTI]

    Box, W. Donald

    1994-01-01

    A robotic vehicle (10) for travel through an enclosed or partially enclosed conduit or pipe including vertical and/or horizontal conduit or pipe. The robotic vehicle (10) comprises forward and rear housings (32 and 12) each provided with a surface engaging mechanism for selectively engaging the walls of the conduit through which the vehicle is travelling, whereby the housings (32 and 12) are selectively held in a stationary position within the conduit. The vehicle (10) also includes at least three selectively extendable members (46), each of which defines a cavity (56) therein. The forward end portion (50) of each extendable member (46) is secured to the forward housing (32) and the rear end portion (48) of each housing is secured to the rear housing (12). Each of the extendable members (46) is independently extendable from a retracted position to an extended position upon the injection of a gas under pressure into the cavity (56) of the extendable member such that the distance between the forward housing (32 ) and the rear housing (12) can be selectively increased. Further, each of the extendable members (46) is independently retractable from the extended position to the retracted position upon the application of a vacuum to the cavity (56) of the extendable member (46) such that the distance between the forward housing (32) and the rear housing (12) can be selectively decreased.

  5. Robotic vehicle

    DOE Patents [OSTI]

    Box, W. Donald

    1996-01-01

    A robotic vehicle (10) for travel through an enclosed or partially enclosed conduit or pipe including vertical and/or horizontal conduit or pipe. The robotic vehicle (10) comprises forward and rear housings (32 and 12) each provided with a surface engaging mechanism for selectively engaging the walls of the conduit through which the vehicle is travelling, whereby the housings (32 and 12) are selectively held in a stationary position within the conduit. The vehicle (10) also includes at least three selectively extendable members (46), each of which defines a cavity (56) therein. The forward end portion (50) of each extendable member (46) is secured to the forward housing (32) and the rear end portion (48) of each housing is secured to the rear housing (12). Each of the extendable members (46) is independently extendable from a retracted position to an extended position upon the injection of a gas under pressure into the cavity (56) of the extendable member such that the distance between the forward housing (32 ) and the rear housing (12) can be selectively increased. Further, each of the extendable members (46) is independently retractable from the extended position to the retracted position upon the application of a vacuum to the cavity (56) of the extendable member (46) such that the distance between the forward housing (32) and the rear housing (12) can be selectively decreased.

  6. Robotic vehicle

    DOE Patents [OSTI]

    Box, W.D.

    1996-03-12

    A robotic vehicle is described for travel through an enclosed or partially enclosed conduit or pipe including vertical and/or horizontal conduit or pipe. The robotic vehicle comprises forward and rear housings each provided with a surface engaging mechanism for selectively engaging the walls of the conduit through which the vehicle is travelling, whereby the housings are selectively held in a stationary position within the conduit. The vehicle also includes at least three selectively extendable members, each of which defines a cavity therein. The forward end portion of each extendable member is secured to the forward housing and the rear end portion of each housing is secured to the rear housing. Each of the extendable members is independently extendable from a retracted position to an extended position upon the injection of a gas under pressure into the cavity of the extendable member such that the distance between the forward housing and the rear housing can be selectively increased. Further, each of the extendable members is independently retractable from the extended position to the retracted position upon the application of a vacuum to the cavity of the extendable member such that the distance between the forward housing and the rear housing can be selectively decreased. 14 figs.

  7. Vehicle Technologies Office Merit Review 2015: Mechanistic Modeling Framework for Predicting Extreme Battery Response: Coupled Hierarchical Models for Thermal, Mechanical, Electrical and (Electro)chemical Processes

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Sandia National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about mechanistic...

  8. Vehicle Technologies Office: 2008 Advanced Vehicle Technology...

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

    Energy Use and Greenhouse Gas Emissions of Plug-In Hybrid Electric Vehicles Vehicle Technologies Office: 2010 Vehicle and Systems Simulation and Testing R&D Annual Progress Report

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

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

    Peer Evaluation Meeting arravt072vssmackie2013o.pdf More Documents & Publications Smith Electric Vehicles: Advanced Vehicle Electrification + Transportation Sector...

  10. Clean Cities 2011 Vehicle Buyer's Guide

    SciTech Connect (OSTI)

    Not Available

    2011-01-01

    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.

  11. Clean Cities 2014 Vehicle Buyer's Guide (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2013-12-01

    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.

  12. Consumer preferences for electric vehicles. Final report

    SciTech Connect (OSTI)

    Garrison, W.L.; Calfee, J.E.; Bruck, H.W.

    1986-06-01

    A small-sample survey of consumer preferences for a second car - featuring both conventional and electric vehicle choices - indicates a proelectric bias. The potential of electric cars in the utility market largely depends on dramatic improvements in battery technology and the right mix of electricity and gasoline prices.

  13. U32: Vehicle Stability and Dynamics: Longer Combination Vehicles

    SciTech Connect (OSTI)

    Petrolino, Joseph; Spezia, Tony; Arant, Michael; Broshears, Eric; Chitwood, Caleb; Colbert, Jameson; Hathaway, Richard; Keil, Mitch; LaClair, Tim J; Pape, Doug; Patterson, Jim; Pittro, Collin

    2011-01-01

    This study investigated the safety and stability of longer combination vehicles (LCVs), in particular a triple trailer combination behind a commercial tractor, which has more complicated dynamics than the more common tractor in combination with a single semitrailer. The goal was to measure and model the behavior of LCVs in simple maneuvers. Example maneuvers tested and modeled were single and double lane changes, a gradual lane change, and a constant radius curve. In addition to test track data collection and a brief highway test, two computer models of LCVs were developed. One model is based on TruckSim , a lumped parameter model widely used for single semitrailer combinations. The other model was built in Adams software, which more explicitly models the geometry of the components of the vehicle, in terms of compliant structural members. Among other results, the models were able to duplicate the experimentally measured rearward amplification behavior that is characteristic of multi-unit combination vehicles.

  14. Clean Cities 2014 Vehicle Buyer's Guide

    SciTech Connect (OSTI)

    2013-12-01

    The Clean Cities 2014 Vehicle Buyer's Guide is an annual guide which 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.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  16. Fact #585: August 24, 2009 Trends in Vehicle Attribute Preference |

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

    Department of Energy 5: August 24, 2009 Trends in Vehicle Attribute Preference Fact #585: August 24, 2009 Trends in Vehicle Attribute Preference "Which one of the following attributes would be MOST important to you in your choice of your next vehicle?" was the question asked in an August 2009 survey. The choices were dependability, safety, fuel economy, quality, and low price. This same question was asked in previous surveys and the results are compared in the graph below.

  17. Vehicle barrier

    DOE Patents [OSTI]

    Hirsh, Robert A. (Bethel Park, PA)

    1991-01-01

    A vehicle security barrier which can be conveniently placed across a gate opening as well as readily removed from the gate opening to allow for easy passage. The security barrier includes a barrier gate in the form of a cable/gate member in combination with laterally attached pipe sections fixed by way of the cable to the gate member and lateral, security fixed vertical pipe posts. The security barrier of the present invention provides for the use of cable restraints across gate openings to provide necessary security while at the same time allowing for quick opening and closing of the gate areas without compromising security.

  18. Vehicle Energy Consumption and Performance Analysis | Argonne...

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

    Consumption and Performance Analysis Vehicle Energy Consumption and Performance Analysis Argonne researchers have applied their expertise in modeling, simulation and control to ...

  19. Vehicle Technologies Office Merit Review 2014: Vehicle & Systems...

    Energy Savers [EERE]

    Vehicle Technologies Office: 2013 Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office Merit Review 2014: Wireless Charging Vehicle ...

  20. Vehicle Technologies Office: Natural Gas Vehicle Research and...

    Office of Environmental Management (EM)

    Alternative Fuels Vehicle Technologies Office: Natural Gas Vehicle Research and Development (R&D) Vehicle Technologies Office: Natural Gas Vehicle Research and Development (R&D) ...

  1. Vehicle Technologies Office: 2015 Vehicle Systems Annual Progress...

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

    Vehicle Technologies Office: 2015 Vehicle Systems Annual Progress Report The Vehicle Systems research and development (R&D) subprogram within the DOE Vehicle Technologies Office ...

  2. Electric Vehicle Battery Performance

    Energy Science and Technology Software Center (OSTI)

    1992-02-20

    DIANE is used to analyze battery performance in electric vehicle (EV) applications. The principal objective of DIANE 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. Two releases are included with the package. Diane21 has a graphics capability; DIANENP has no graphics capability.

  3. Vehicle Technologies Office - Materials Technologies

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

    Vehicle Technologies Office Materials Technologies Ed Owens Jerry Gibbs Will Joost eere.energy.gov 2 | Vehicle Technologies Program Materials Technologies Materials Technologies $36.9 M Lightweight Materials $28.0 M Values are FY14 enacted Propulsion Materials $8.9 M Properties and Manufacturing Multi-Material Enabling Modeling & Computational Mat. Sci. Engine Materials, Cast Al & Fe High Temp Alloys Exhaust Sys. Materials, Low T Catalysts Lightweight Propulsion FY13 Enacted $27.5 M

  4. Solar Choice Solutions Inc | Open Energy Information

    Open Energy Info (EERE)

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

  5. Renewable Choice Energy | Open Energy Information

    Open Energy Info (EERE)

    Choice Energy Jump to: navigation, search Name: Renewable Choice Energy Place: Boulder, Colorado Zip: 80301 Sector: Carbon, Renewable Energy Product: Renewable Choice Energy is a...

  6. Heavy Duty Vehicle Futures Analysis.

    SciTech Connect (OSTI)

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

    2014-05-01

    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.

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

    Broader source: Energy.gov [DOE]

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

  8. Vehicles | Open Energy Information

    Open Energy Info (EERE)

    our nation's growing reliance on imported oil by running our vehicles on renewable and alternative fuels. Advanced vehicles and fuels can also put the brakes on air pollution...

  9. AVTA: Vehicle to EVSE Smart Grid Communications Report | Department of

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

    Energy Vehicle to EVSE Smart Grid Communications Report AVTA: Vehicle to EVSE Smart Grid Communications Report The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries out testing on a wide range of advanced vehicles and technologies on dynamometers, closed test tracks, and on-the-road. These results provide benchmark data that researchers can use to develop technology models and guide future research and development. The following report describes results from research

  10. A Stark Choice on Solar

    Broader source: Energy.gov [DOE]

    As a nation, we face a stark choice. We can sit back and cede our position in the burgeoning solar industry or we can stand up and compete.