Sample records for vehicles model years

  1. Model Year 2006: Alternative Fuel and Advanced Technology Vehicles

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst Hirst Enterprises,MODEL

  2. 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

  3. Vehicle Modeling and Simulation

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

    Vehicle Modeling and Simulation Vehicle Modeling and Simulation Matthew Thornton National Renewable Energy Laboratory matthewthornton@nrel.gov phone: 303.275.4273 Principal...

  4. Application for certification, 1991 model-year light-duty vehicles - Sterling

    SciTech Connect (OSTI)

    Not Available

    1992-01-01T23:59:59.000Z

    Every year, each manufacturer of passenger cars, light-duty trucks, motorcycles, or heavy-duty engines submits to EPA an application for certification. In the application, the manufacturer gives a detailed technical description of the vehicles or engineering data include explanations and/or drawings which describe engine/vehicle parameters such as basic engine design, fuel systems, ignition systems or exhaust and evaporative emission control systems. It also provides information on emission test procedures, service accumulation procedures, fuels to be used, and proposed maintenance requirements to be followed during testing. Section 16 of the application contains the results of emission testing, a statement of compliance to the regulations, production engine parameters, and a Summary Sheet Input Form on which issuance of a Certificate of Conformity is based.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet)4. U.S. Vehicle Fuel Consumption. U.S..

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet)4. U.S. Vehicle Fuel Consumption. U.S...

  7. Modeling And Control Of Articulated Vehicles

    E-Print Network [OSTI]

    Chen, Chieh; Tomizuka, Masayoshi

    1997-01-01T23:59:59.000Z

    Modeling, Advanced Vehicle Control Systems, Lateral control, SteeringSteering and Braking Control of Heavy Duty Vehicles. Under this project, dynamic modeling

  8. Consumer Vehicle Choice Model Documentation

    SciTech Connect (OSTI)

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

    2012-08-01T23:59:59.000Z

    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.

  9. WHERE ARE THE ELECTRIC VEHICLES?1 A SPATIAL MODEL FOR VEHICLE-CHOICE COUNT DATA2

    E-Print Network [OSTI]

    Kockelman, Kara M.

    1 WHERE ARE THE ELECTRIC VEHICLES?1 A SPATIAL MODEL FOR VEHICLE-CHOICE COUNT DATA2 3 T. Donna Chen4 ABSTRACT29 30 Electric vehicles (EVs) are predicted to increase in market share as auto manufacturers: Electric vehicles, spatial count modeling, vehicle choice, vehicle ownership,1 consumer behavior

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

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

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

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

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

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

  12. Modelling and control strategy development for fuel cell electric vehicles

    E-Print Network [OSTI]

    Peng, Huei

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

  13. In-Vehicle Testing and Computer Modeling of Electric Vehicle Batteries

    E-Print Network [OSTI]

    Wang, Chao-Yang

    In-Vehicle Testing and Computer Modeling of Electric Vehicle Batteries B. Thomas, W.B. Gu, J was performed for both VRLA and NiMH batteries using Penn State University's electric vehicle, the Electric Lion and hybrid-electric vehicles. A thorough understanding of battery systems from the point of view

  14. A Statistical Model of Vehicle Emissions and Fuel Consumption

    E-Print Network [OSTI]

    Cappiello, Alessandra

    2002-09-17T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Victoria, University of

    Modelling, Simulation, Testing, and Optimization of Advanced Hybrid Vehicle Powertrains By Jeffrey of the author. #12;ii Modelling, Simulation, Testing and Optimization of Advanced Hybrid Vehicle Powertrains supplant conventional ICEs as the dominant technology, most notably electric and hybrid powertrains

  16. Data Needs for Evolving Motor Vehicle Emission Modeling Approaches

    E-Print Network [OSTI]

    Guensler, Randall

    1993-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Not Available

    2011-02-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2012-08-10T23:59:59.000Z

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

  19. Predicting Vehicle Crashworthiness: Validation of Computer Models for

    E-Print Network [OSTI]

    Berger, Jim

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

  20. Model Based Vehicle Tracking for Autonomous Driving in Urban Environments

    E-Print Network [OSTI]

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

  1. Vehicle Trajectory Prediction based on Motion Model and Maneuver Recognition

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  2. Vehicle Modeling and Simulation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUEValidation of& Systems Simulation|Modeling and

  3. Modeling Grid-Connected Hybrid Electric Vehicles Using ADVISOR

    SciTech Connect (OSTI)

    Markel, T.; Wipke, K.

    2001-01-01T23:59:59.000Z

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

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

    Energy Savers [EERE]

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

  5. VEHICLE USE RECORD M/Y DEPARTMENT VEHICLE LOCATION

    E-Print Network [OSTI]

    Watson, Craig A.

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

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

    Broader source: Energy.gov [DOE]

    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...

  7. 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...

  8. Model systems This year's model

    E-Print Network [OSTI]

    Raines, Ronald T.

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  10. Projections of motor vehicle growth, fuel consumption and CO{sub 2} emissions for the next thirty years in China.

    SciTech Connect (OSTI)

    He, D.; Wang, M.

    2000-12-12T23:59:59.000Z

    Since the early 1990s, China's motor vehicles have entered a period of fast growth resultant from the rapid economic expansion. As the largest developing country, the fast growth of China's motor vehicles will have tremendous effects on the world's automotive and fuel market and on global CO{sub 2} emissions. In this study, we projected Chinese vehicle stocks for different vehicle types on the provincial level. First, we reviewed the historical data of China's vehicle growth in the past 10 years and the correlations between vehicle growth and economic growth in China. Second, we investigated historical vehicle growth trends in selected developed countries over the past 50 or so years. Third, we established a vehicle growth scenario based on the historical trends in several developed nations. Fourth, we estimated fuel economy, annual mileage and other vehicle usage parameters for Chinese vehicles. Finally, we projected vehicle stocks and estimated motor fuel use and CO{sub 2} emissions in each Chinese province from 2000 to 2030. Our results show that China will continue the rapid vehicle growth, increase gasoline and diesel consumption and increased CO{sub 2} emissions in the next 30 years. We estimated that by year 2030, Chinese motor vehicle fuel consumption and CO{sub 2} emissions could reach the current US levels.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade21752 2,616 January 1996 January1996Percent

  12. CONTROL-ORIENTED PLANAR MOTION MODELING OF UNMANNED SURFACE VEHICLES

    E-Print Network [OSTI]

    Virginia Tech

    CONTROL-ORIENTED PLANAR MOTION MODELING OF UNMANNED SURFACE VEHICLES C. Sonnenburg, A. Gadre, D effective model-based control design, (2) sufficiently simple to allow straight forward parameter. A first order steering model relates steering angle to turn rate. A second order steering model relates

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

    SciTech Connect (OSTI)

    NONE

    1995-04-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2006-12-20T23:59:59.000Z

    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 Model Validation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUEValidation of& Systems Simulation|

  16. 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...

  17. 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...

  18. Model year 2010 Honda insight level-1 testing report.

    SciTech Connect (OSTI)

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

    2011-03-22T23:59:59.000Z

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

  19. Model year 2010 Ford Fusion Level-1 testing report.

    SciTech Connect (OSTI)

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

    2010-11-23T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    E-Print Network [OSTI]

    Kockelman, Kara M.

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

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

    E-Print Network [OSTI]

    Victoria, University of

    Modelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles by Matthew Blair electric vehicles, empirical fuel cell system data has been incorporated into the NREL's vehicle design and simulation tool, ADVISOR (ADvanced Vehicle SimulatOR), to predict the performance of a low-speed, fuel cell

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

    SciTech Connect (OSTI)

    Not Available

    1993-05-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Mendes, Goncalo

    2013-01-01T23:59:59.000Z

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

  5. Neural Network Based Energy Storage System Modeling for Hybrid Electric Vehicles

    SciTech Connect (OSTI)

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

    1999-08-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  7. 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...

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

    E-Print Network [OSTI]

    Su, Jemeng

    1981-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Su, Jemeng

    1981-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Victoria, University of

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

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

    E-Print Network [OSTI]

    Kockelman, Kara M.

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

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

    E-Print Network [OSTI]

    Duffy, Ken

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

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

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  15. TOWARDS SONAR BASED PERCEPTION AND MODELLING FOR UNMANNED UNTETHERED UNDERWATER VEHICLES

    E-Print Network [OSTI]

    Garner, Philip N.

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

  16. Hybrid Modeling and Experimental Cooperative Control of Multiple Unmanned Aerial Vehicles

    E-Print Network [OSTI]

    Fainekos, Georgios E.

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

  17. 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...

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

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

    goals for reductions in oil consumption and carbon emissions from the ground transport vehicle sector of the economy. vtmypp2011-2015.pdf More Documents & Publications Advanced...

  19. Vehicle Technologies Office Merit Review 2015: Model Development and Analysis of Clean & Efficient 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 model...

  20. 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...

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

    Broader source: Energy.gov [DOE]

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

  2. AVCEM: Advanced-Vehicle Cost and Energy Use Model

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    accounted separately), regenerative braking, battery thermalthere is no regenerative braking, and vehicle efficiency,iterative calculations. Regenerative braking is represented

  3. 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

  4. AVCEM: Advanced-Vehicle Cost and Energy Use Model

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    vehicles (BPEVs); • hydrogen fuel-cell-powered EVs (with or w/out peak-power device) (FCEVs); • methanol

  5. New trends in vehicle dynamics: from modelling to control. Olivier SENAME

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    New trends in vehicle dynamics: from modelling to control. Olivier SENAME GIPSA-lab - Department approaches such as H approach for Linear Parameter Varying systems and Model predictive control have shown methods for modelling and control of subsystems and of the vehicle. The session will be organized

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

    Broader source: Energy.gov [DOE]

    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:...

  7. Tyre modelling for use in vehicle dynamics studies

    SciTech Connect (OSTI)

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

    1987-01-01T23:59:59.000Z

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

  8. Submitted to Vehicle System Dynamics An Adaptive Lateral Preview Driver Model

    E-Print Network [OSTI]

    Peng, Huei

    of the vehicle. The proposed driver model is developed using the adaptive predictive control (APC) framework inspires our interest in understanding human steering actions and the development of a driver model on the response of the vehicle. These tests can be performed with a steering and speed control robot, and thus can

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

    SciTech Connect (OSTI)

    Michael Wang

    2012-07-25T23:59:59.000Z

    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.

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

    ScienceCinema (OSTI)

    Michael Wang

    2013-06-05T23:59:59.000Z

    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.

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

    Office of Environmental Management (EM)

    ADOPT 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...

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

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

    Division * NREL Relevance Temperature Has a Significant Impact on Electric Drive Energy Consumption 3 Vehicle Dynamometer Testing Source: ANL APRF - 2013 Ford Cmax Energi Fleet...

  13. Clean Cities 2011 Vehicle Buyer's Guide

    SciTech Connect (OSTI)

    Not Available

    2011-01-01T23:59:59.000Z

    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.

  14. Household Vehicle Ownership by Vehicle Type: Application of a Multivariate Negative Binomial Model

    E-Print Network [OSTI]

    Kockelman, Kara M.

    related to household size, income, population density (of zone of residence), and vehicle prices 1970's and early 1980's. Continual improvements in computation power permit more rigorous statistical to new energy issues and a focus on global warming policies, renewed consideration should be given

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

    E-Print Network [OSTI]

    Schultz, Grant George

    2004-09-30T23:59:59.000Z

    with an increased availability of CMV data. The primary sources of these data are automatic vehicle classification (AVC) and weigh-in-motion (WIM). Microscopic traffic simulation models have been used extensively to model the dynamic and stochastic nature...

  16. 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...

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

    E-Print Network [OSTI]

    Stevens, Kenneth Michael

    1996-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Stevens, Kenneth Michael

    1996-01-01T23:59:59.000Z

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

  19. Modeling Workload Impact in Multiple Unmanned Vehicle Supervisory Control

    E-Print Network [OSTI]

    Donmez, B.D.

    2010-01-01T23:59:59.000Z

    Discrete event simulations for futuristic unmanned vehicle (UV) systems enable a cost and time effective methodology for evaluating various autonomy and human automation design parameters. Operator mental workload is an ...

  20. AVCEM: Advanced-Vehicle Cost and Energy Use Model

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    device, such as a high-power battery. AVCEM has over 1000source, such as a peak-power battery, drives the vehicle Thedevice (say, a high-power battery) or traction battery must

  1. Incorporating Vehicle Emission Models into the Highway Design Process

    E-Print Network [OSTI]

    Ko, Myung-Hoon

    2012-02-14T23:59:59.000Z

    Automobile transportation consumes a significant amount of non-reusable energy and emits emissions as by-products of fuel consumption. There has been much progress in the development of vehicle engine technology and alternative fuels to reduce...

  2. Modeling human supervisory control in heterogeneous unmanned vehicle systems

    E-Print Network [OSTI]

    Nehme, Carl, 1981-

    2009-01-01T23:59:59.000Z

    Given advanced technology that relieves the human operator of low-level tasking and the future vision for network-centric operations, operator supervisory control of Unmanned Vehicle (UV) teams is likely to be a focal point ...

  3. 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...

  4. 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.

    2010-12-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  6. Integrated motion planning and model learning for mobile robots with application to marine vehicles

    E-Print Network [OSTI]

    Greytak, Matthew B. (Matthew Bardeen)

    2009-01-01T23:59:59.000Z

    Robust motion planning algorithms for mobile robots consider stochasticity in the dynamic model of the vehicle and the environment. A practical robust planning approach balances the duration of the motion plan with the ...

  7. 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...

  8. 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...

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

    E-Print Network [OSTI]

    Green, Derek Scott

    1991-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Koteshwar, Rajeev

    1992-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Davis, S.C.

    2000-11-16T23:59:59.000Z

    The Energy Information Administration's (EIA's) National Energy Modeling System (NEMS) Freight Truck Stock Adjustment Model (FTSAM) was created in 1995 relying heavily on input data from the 1992 Economic Census, Truck Inventory and Use Survey (TIUS). The FTSAM is part of the NEMS Transportation Sector Model, which provides baseline energy projections and analyzes the impacts of various technology scenarios on consumption, efficiency, and carbon emissions. The base data for the FTSAM can be updated every five years as new Economic Census information is released. Because of expertise in using the TIUS database, Oak Ridge National Laboratory (ORNL) was asked to assist the EIA when the new Economic Census data were available. ORNL provided the necessary base data from the 1997 Vehicle Inventory and Use Survey (VIUS) and other sources to update the FTSAM. The next Economic Census will be in the year 2002. When those data become available, the EIA will again want to update the FTSAM using the VIUS. This report, which details the methodology of estimating and extracting data from the 1997 VIUS Microdata File, should be used as a guide for generating the data from the next VIUS so that the new data will be as compatible as possible with the data in the model.

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

    SciTech Connect (OSTI)

    Not Available

    1994-08-01T23:59:59.000Z

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

  13. Electric and Hybrid Vehicles Program. Sixteenth annual report to Congress for fiscal year 1992

    SciTech Connect (OSTI)

    Not Available

    1993-08-01T23:59:59.000Z

    This report describes the progress achieved in developing electric and hybrid vehicle technologies, beginning with highlights of recent accomplishments in FY 1992. Detailed descriptions are provided of program activities during FY 1992 in the areas of battery, fuel cell, and propulsion system development, and testing and evaluation of new technology in fleet site operations and in laboratories. This Annual Report also contains a status report on incentives and use of foreign components, as well as a list of publications resulting from the DOE program.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02Report | Department of| Department of Energyof

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02Report | Department of| Department ofReport

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: SinceDevelopment | Department of EnergyEnergyVehicle Data|Reportandof Energy Newsof

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

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

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

  18. Modeling and Simulation of Electric and Hybrid Vehicles

    E-Print Network [OSTI]

    Mi, Chunting "Chris"

    an important role in the diagnostics of the operating components. For example, running an embedded fuel cell, and fuel cell vehicles, such as electric machines, power electronics, electronic continuously variable converters, such as Li- ion batteries, ultracapacitors, and fuel cells, are introduced in the next generation

  19. Energy Management for an Electric Vehicle Based on Combinatorial Modeling

    E-Print Network [OSTI]

    Boyer, Edmond

    energy sources (fuel cells, photovoltaic panels, batteries, supercapacitors) with different of the energy system The energy chain of the vehicle concerned is composed of a Fuel Cell System (FCS) using Toulouse, France Abstract This paper describes the process of electrical energy management and optimization

  20. The Smart Grid, A Scale Demonstration Model Incorporating Electrified Vehicles

    E-Print Network [OSTI]

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

    2011-04-01T23:59:59.000Z

    energy infrastructure. Furthermore, with the advent and commercialization of electrified vehicles, energy demand has the capability to increase dramatically. A sustainable solution via renewable energy technologies can act to offset... to ensure the energy security of the United States. Supported by the EPA P3 initiative, the current small-scale stage of the EcoHawks design project involves creation of a smart energy infrastructure that integrates solar and wind renewable energy...

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of Energy MicrosoftVOLUME I AThe Vehicle Technologies Office

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of Energy MicrosoftVOLUME I AThe Vehicle Technologies

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUEValidation of&SystemsCharging Demo |LMR-NMC

  4. Vehicle Technologies Office Merit Review 2014: Model Development and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUEValidation of&SystemsChargingEnergy

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: SinceDevelopment | Department of EnergyEnergyVehicle Data | DepartmentTechnologyLife Cycle

  6. Multivariable decoupled longitudinal and lateral vehicle control: A model-free design

    E-Print Network [OSTI]

    Multivariable decoupled longitudinal and lateral vehicle control: A model-free design Lghani model-free control is ap- plied to a multivariable decoupled longitudinal and lateral ve- hicle control and steering angle). It yields driving maneuvers requiring a control coordination of steering angle, braking

  7. ROLE OF VEHICLE DYNAMIC MODELING FIDELITY WITH HAPTIC COLLABORATION IN STEER BY WIRE

    E-Print Network [OSTI]

    Krovi, Venkat

    ROLE OF VEHICLE DYNAMIC MODELING FIDELITY WITH HAPTIC COLLABORATION IN STEER BY WIRE SYSTEMS control back to the driver. Candidate solutions for mimicking the steering feel have ranged from direct torque prediction schemes based on mathematical dynamics models (of tire-road, suspension, power-steering

  8. MODELING OF SKID-STEERED WHEELED ROBOTIC VEHICLES ON SLOPED TERRAINS

    E-Print Network [OSTI]

    Collins, Emmanuel

    MODELING OF SKID-STEERED WHEELED ROBOTIC VEHICLES ON SLOPED TERRAINS Camilo Ordonez Center radii. This work presents the analysis and experimental verification of a dynamic model for skid-steered for Intelligent Systems, Controls and Robotics (CISCOR) Department of Mechanical Engineering Florida A

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

    E-Print Network [OSTI]

    Kota, Sri H

    2014-07-25T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2011-01-01T23:59:59.000Z

    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.

  11. 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.

    2011-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2014-01-01T23:59:59.000Z

    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.

  13. 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

    2011-07-01T23:59:59.000Z

    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.

  14. Fact #823: June 2, 2014 Hybrid Vehicles use more Battery Packs...

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

    vehicle powertrains in model year 2013, the greatest number went into conventional hybrid vehicles which use battery packs that average about 1.3 kilowatt-hours (kWh). However,...

  15. Electric and Hybrid Vehicle Program, Site Operator Program. Quarterly progress report for July through September 1994 (Fourth quarter of fiscal year 1994)

    SciTech Connect (OSTI)

    Kiser, D.M.; Brown, H.L.

    1995-03-01T23:59:59.000Z

    The Site Operator Program was initially established by the Department of Energy (DOE) to incorporate the electric vehicle activities dictated by the Electric and Hybrid Vehicle Research, Development and Demonstration Act of 1976. In the ensuing years, the Program has evolved in response to new legislation and interests. The Program currently includes twelve sites located in diverse geographic, metrologic, and metropolitan areas across the US. Information is shared reciprocally with a thirteenth site, not under Program contract. The vehicles are operator-owned, except for two Griffon vans. The Mission Statement of the Site Operator Program includes three major activities: advancement of electric vehicle technologies; development of infrastructure elements necessary to support significant electric vehicle use; and increasing the awareness and acceptance of electric vehicles (EVs) by the public. The current participants in the Site Operator Program are shown. The ultimate thrust of program activities varies among sites, reflecting not only the Operator`s business interests but also geographic and climate-related operating conditions. This fourth quarter report (FY-94) includes a summary of activities from the previous three quarters. The report section sequence has been revised to provide a more easily seen program overview, and specific operator activities are now found in Appendix A.

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

    E-Print Network [OSTI]

    Mi, Chunting "Chris"

    -down system. Index Terms--Bond Graphs, hybrid electric vehicle (HEV), mechatronics, modeling, powertrain testIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 54, NO. 3, MAY 2005 837 Modeling of a Hybrid Electric Vehicle Powertrain Test Cell Using Bond Graphs Mariano Filippa, Student Member, IEEE, Chunting Mi

  17. Planning and Control of Electric Vehicles Using Dynamic Energy Capacity Models

    E-Print Network [OSTI]

    Zhang, Wei

    for a large population of Plug-in Electric Vehicles (PEVs) for demand response applications. We consider both. Therefore, the accuracy of the aggregate model is integral to our efficient use of charging demand of the aggregated loads available at each time step is a function of the past energy management decisions

  18. Modeling a Prototype Optical Collision Avoidance Sensor For Unmanned Aerial Vehicles

    E-Print Network [OSTI]

    Hornsey, Richard

    Modeling a Prototype Optical Collision Avoidance Sensor For Unmanned Aerial Vehicles Cyrus Minwalla) are essential in controlled airspace under visual flight rules (VFR). A prototype optical sensor accomplishes and evaluation of the prototype sensor are presented here, as are preliminary measurements to clarify the roles

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

    E-Print Network [OSTI]

    Mueller, Russell Lee

    2005-11-01T23:59:59.000Z

    friction coefficient of 1.0. The ADAMS/Car model can now support the design process as an analysis tool for full vehicle dynamics and with continued refinement, will be able to accurately predict behavior throughout a complete autocross course....

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

    SciTech Connect (OSTI)

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

    2010-06-24T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2008-01-01T23:59:59.000Z

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

  2. 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.

    2011-01-01T23:59:59.000Z

    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.

  3. Equivalent circuit modeling of hybrid electric vehicle drive train

    E-Print Network [OSTI]

    Routex, Jean-Yves

    2001-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Nelson, P. A.

    2011-10-20T23:59:59.000Z

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

  5. Measuring and Modeling Emissions from Extremely Low-Emitting Vehicles

    E-Print Network [OSTI]

    Barth, M; Collins, J F; Scora, G; Davis, N; Norbeck, J N

    2006-01-01T23:59:59.000Z

    Make Model Odometer Chevrolet Malibu Honda Accord LX DodgeNeon Ford Focus Honda Accord LX Mazda Protégé Volkswagen3.2TL Buick Regal Ford Mustang Honda Civic Mitsubishi Galant

  6. Measuring and Modeling Emissions from Extremely Low Emitting Vehicles

    E-Print Network [OSTI]

    Barth, M; Collins, J F; Scora, G; Davis, N; Norbeck, J M

    2006-01-01T23:59:59.000Z

    Make Model Odometer Chevrolet Malibu Honda Accord LX DodgeNeon Ford Focus Honda Accord LX Mazda Protégé Volkswagen3.2TL Buick Regal Ford Mustang Honda Civic Mitsubishi Galant

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

    E-Print Network [OSTI]

    Stefanopoulou, Anna

    ESTIMATION OF ETHANOL CONTENT IN FLEX-FUEL VEHICLES USING AN EXHAUST GAS OXYGEN SENSOR: MODEL periods of intense interest in using ethanol as an alternative fuel to petroleum-based gasoline and diesel derivatives. Currently available flexible fuel vehicles (FFVs) can operate on a blend of gasoline and ethanol

  8. Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform is alwaysISOSource1-01 Audit LetterYear 2015EnergyofofAutonomieFuel

  9. Utility vehicle safety Operator training program

    E-Print Network [OSTI]

    Minnesota, University of

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

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

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

    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...

  11. 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.

    2010-11-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

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

  13. Energy Storage Fuel Cell Vehicle Analysis: Preprint

    SciTech Connect (OSTI)

    Markel, T.; Pesaran, A.; Zolot, M.; Sprik, S.; Tataria, H.; Duong, T.

    2005-04-01T23:59:59.000Z

    In recent years, hydrogen fuel cell (FC) vehicle technology has received considerable attention as a strategy to decrease oil consumption and reduce harmful emissions. However, the cost, transient response, and cold performance of FC systems may present significant challenges to widespread adoption of the technology for transportation in the next 15 years. The objectives of this effort were to perform energy storage modeling with fuel cell vehicle simulations to quantify the benefits of hybridization and to identify a process for setting the requirements of ES for hydrogen-powered FC vehicles for U.S. Department of Energy's Energy Storage Program.

  14. Energy Storage Fuel Cell Vehicle Analysis

    SciTech Connect (OSTI)

    Pesaran, A.; Markel, T.; Zolot, M.; Sprik, S.; Tataria, H.; Duong, T.

    2005-08-01T23:59:59.000Z

    In recent years, hydrogen fuel cell (FC) vehicle technology has received considerable attention as a strategy to decrease oil consumption and reduce harmful emissions. However, the cost, transient response, and cold performance of FC systems may present significant challenges to widespread adoption of the technology for transportation in the next 15 years. The objectives of this effort were to perform energy storage modeling with fuel cell vehicle simulations to quantify the benefits of hybridization and to identify a process for setting the requirements of ES for hydrogen-powered FC vehicles for U.S. Department of Energy?s Energy Storage Program.

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

    E-Print Network [OSTI]

    Behmer, Spencer T.

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

  16. 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.

    2009-05-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Not Available

    2012-03-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Hur, Gi-Bong

    2006-08-16T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bertini, Robert L.

    analyzes the impacts of utilization (mileage per year per vehicle) and gasoline prices on vehicle gasoline prices or high utilization, (b) current European carbon dioxide cap-and-trade emissions price (miles per year), and market conditions (fuel prices) on the competitiveness of EVs. This paper

  20. 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.

    2014-06-01T23:59:59.000Z

    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.

  1. Electric-Drive Vehicle engineering

    E-Print Network [OSTI]

    Berdichevsky, Victor

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

  2. Smog Check II Evaluation Part II: Overview of Vehicle

    E-Print Network [OSTI]

    Denver, University of

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

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

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

    From model years 1980 to 2012, there have been significant gains in automotive technology. For new light vehicles, horsepower has more than doubled and "0-to-60" acceleration times...

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

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    accounted separately), regenerative braking, battery thermalthere is no regenerative braking, and vehicle efficiency,iterative calculations. Regenerative braking is represented

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

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    vehicles (BPEVs); • hydrogen fuel-cell-powered EVs (with or w/out peak-power device) (FCEVs); • methanol

  6. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2013 Males 27 Females 11 YEAR 2013 SES 1 EN 05 1 EN 04 11 NN (Engineering) 8 NQ (ProfTechAdmin) 15 NU (TechAdmin Support) 2 YEAR 2013 American Indian Alaska Native Male...

  7. YEAR

    National Nuclear Security Administration (NNSA)

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

  8. YEAR

    National Nuclear Security Administration (NNSA)

    1 YEAR 2014 Males 48 Females 33 PAY PLAN YEAR 2014 SES 1 EJEK 8 EN 04 10 EN 03 1 NN (Engineering) 27 NQ (ProfTechAdmin) 29 NU (TechAdmin Support) 5 YEAR 2014 American Indian...

  9. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2014 Males 18 Females 10 PAY PLAN YEAR 2014 SES 1 EN 05 1 EN 04 4 NN (Engineering) 12 NQ (ProfTechAdmin) 9 NU (TechAdmin Support) 1 YEAR 2014 American Indian Alaska...

  10. YEAR

    National Nuclear Security Administration (NNSA)

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

  11. YEAR

    National Nuclear Security Administration (NNSA)

    0 YEAR 2013 Males 48 Females 32 YEAR 2013 SES 2 EJEK 7 EN 04 11 EN 03 1 NN (Engineering) 23 NQ (ProfTechAdmin) 33 NU (TechAdmin Support) 3 YEAR 2013 American Indian Alaska...

  12. YEAR

    National Nuclear Security Administration (NNSA)

    31 YEAR 2013 Males 20 Females 11 YEAR 2013 SES 2 EN 04 4 NN (Engineering) 12 NQ (ProfTechAdmin) 12 NU (TechAdmin Support) 1 YEAR 2013 American Indian Alaska Native Male (AIAN,...

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

    E-Print Network [OSTI]

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

  14. Incorporating Drivability Metrics into Optimal Energy Management Strategies for Hybrid Vehicles Part 1: Model, Methods, and

    E-Print Network [OSTI]

    Grizzle, Jessy W.

    Incorporating Drivability Metrics into Optimal Energy Management Strategies for Hybrid Vehicles-parallel configuration considered here. Hybrid vehicles are characterized by multiple energy sources; the strategy Gillespie, Jeffrey A. Cook, and J.W. Grizzle Abstract--Hybrid Vehicle fuel economy performance is highly

  15. Integrated Vehicle Thermal Management Systems (VTMS) Analysis...

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

    Systems (VTMS) AnalysisModeling Integrated Vehicle Thermal Management Systems (VTMS) AnalysisModeling 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit...

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

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

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

  17. ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS

    E-Print Network [OSTI]

    Brennan, Sean

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

  18. ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS

    E-Print Network [OSTI]

    Brennan, Sean

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

  19. Real-world emissions from model year 1993, 2000, and 2010 passenger cars

    SciTech Connect (OSTI)

    Ross, M.; Goodwin, R.; Watkins, R. [and others

    1995-11-01T23:59:59.000Z

    Air pollution by cars and light trucks is a major problem in metropolitan areas in the United States and around the world. Much of the discussion of this issue is based on the emissions per vehicle mile as determined under somewhat artificial testing conditions. The pollutants actually emitted vary considerably with the particular vehicle and the way it is driven, but the average emissions per mile are much higher than the test values. This report concerns the sources and levels of excess emissions, and the potential for reducing them. The history of automotive emissions regulation reveals remarkable success in reducing the emissions of carbon monoxide (CO), hydrocarbons (HC) and oxides of nitrogen (NO{sub x}) from new automobiles - as measured in certification tests. The grams-per-mile (g/mile) standards for these tests are stringent, with 96% reductions mandated in comparison to the estimated pre-control (mid-1960s) levels for CO and HC; and 75% reductions mandated for NO{sub x}. Powerful new technologies have been developed and incorporated into every new vehicle in order to accomplish these reductions. Most noteworthy are the catalytic converter and closed-loop engine controls; the latter includes sensors before and after the engine proper, and computer analysis of the information leading to real-time control of fuel injection, with the principal objective of maintaining just the right chemical balance of fuel and air. The average lifetime real-world g/mile emissions associated with conventional gasoline fueled cars for model years 1993, 2000, and 2010 have been projected. Results are discussed.

  20. Property:Buildings/ModelYear | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelNameModelYear Jump

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

    E-Print Network [OSTI]

    Wang, Yunshi; Teter, Jacob; Sperling, Daniel

    2012-01-01T23:59:59.000Z

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

  2. YEAR

    National Nuclear Security Administration (NNSA)

    2014 Males 81 Females 45 PAY PLAN YEAR 2014 SES 1 SL 1 EJEK 25 EN 04 26 EN 03 2 NN (Engineering) 23 NQ (ProfTechAdmin) 44 NU (TechAdmin Support) 4 YEAR 2014 American Indian...

  3. YEAR

    National Nuclear Security Administration (NNSA)

    25 Females 10 YEAR 2014 SES 1 EN 04 11 NN (Engineering) 8 NQ (ProfTechAdmin) 13 NU (TechAdmin Support) 2 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian...

  4. YEAR

    National Nuclear Security Administration (NNSA)

    3 YEAR 2014 Males 59 Females 24 PAY PLAN YEAR 2014 SES 1 EJEK 4 EN 05 3 EN 04 22 EN 03 8 NN (Engineering) 15 NQ (ProfTechAdmin) 27 NU (TechAdmin Support) 3 YEAR 2014 American...

  5. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2013 Males 62 Females 26 YEAR 2013 SES 1 EJEK 3 EN 05 1 EN 04 28 EN 03 1 NN (Engineering) 25 NQ (ProfTechAdmin) 27 NU (TechAdmin Support) 2 YEAR 2013 American Indian...

  6. YEAR

    National Nuclear Security Administration (NNSA)

    5 YEAR 2013 Males 58 Females 27 YEAR 2013 SES 1 EJEK 4 EN 05 3 EN 04 21 EN 03 8 NN (Engineering) 16 NQ (ProfTechAdmin) 28 NU (TechAdmin Support) 4 YEAR 2013 American Indian...

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

    E-Print Network [OSTI]

    Pedram, Massoud

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

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

    E-Print Network [OSTI]

    Kumar, Ratnesh

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

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

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2008-01-01T23:59:59.000Z

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

  10. 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...

  11. 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...

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

    Broader source: Energy.gov [DOE]

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

  13. 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,...

  14. 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,...

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

    E-Print Network [OSTI]

    Collantes, Gustavo O

    2007-01-01T23:59:59.000Z

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

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

    Broader source: Energy.gov [DOE]

    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...

  17. Electric and Gasoline Vehicle Lifecycle Cost and Energy-Use Model

    E-Print Network [OSTI]

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

    2000-01-01T23:59:59.000Z

    fuel-cell-powered electric vehicles (FCEVs); and methanolvehicle, of the battery, fuel cell, and hydrogen or methanolvehicle, of the battery, fuel cell, and hydrogen or methanol

  18. 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...

  19. 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...

  20. 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...

  1. Vehicle Technologies Office Merit Review 2015: CLEERS: Aftertreatment Modeling and Analysis

    Broader source: Energy.gov [DOE]

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

  2. Vehicle Technologies Office Merit Review 2015: Emissions Modeling: GREET Life Cycle Analysis

    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 emissions...

  3. Constraining hybrid inflation models with WMAP three-year results

    SciTech Connect (OSTI)

    Cardoso, Antonio [Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth, PO1 2EG (United Kingdom)

    2007-01-15T23:59:59.000Z

    We reconsider the original model of quadratic hybrid inflation in light of the WMAP three-year results and study the possibility of obtaining a spectral index of primordial density perturbations, n{sub s}, smaller than 1 from this model. The original hybrid inflation model naturally predicts n{sub s}{>=}1 in the false vacuum dominated regime but it is also possible to have n{sub s}<1 when the quadratic term dominates. We therefore investigate whether there is also an intermediate regime compatible with the latest constraints, where the scalar field value during the last 50 e-folds of inflation is less than the Planck scale.

  4. Electric and Hydrogen Vehicles Past and Progress

    E-Print Network [OSTI]

    Kammen, Daniel M.

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

  5. YEAR

    National Nuclear Security Administration (NNSA)

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

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

    SciTech Connect (OSTI)

    Giorgio Rizzoni

    2005-09-30T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kockelman, Kara M.

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

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport in RepresentativeDepartment ofDepartment ofofChoices for2013 is All Electric |

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport in RepresentativeDepartment ofDepartment ofofChoicesDepartment ofofEnergy

  10. On-Road Motor Vehicle Emissions Measurements

    E-Print Network [OSTI]

    Denver, University of

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

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

    SciTech Connect (OSTI)

    Roberta Brayer; Donald Karner; Kevin Morrow; James Francfort

    2006-06-01T23:59:59.000Z

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

  12. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR4 YEAR

  13. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR4 YEAR7

  14. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR43 YEAR

  15. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 20144 YEAR

  16. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR 2013

  17. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR 20138

  18. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR 201387

  19. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR

  20. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR558

  1. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8 YEAR558563

  2. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR85573380 YEAR

  3. YEAR

    National Nuclear Security Administration (NNSA)

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

  4. On-road remote sensing of vehicle emissions in

    E-Print Network [OSTI]

    Denver, University of

    Fleet 14 6 Variation of Emissions with Vehicle Year of Manufacture 18 7 Comparison of Petrol and Diesel New Petrol Vehicles 27 8.2 Imported Used and New Zealand New Diesel Vehicles 34 9 Influence of Vehicle Distance Travelled on Emissions 41 9.1 Petrol Fuelled Vehicles 41 9.2 Diesel Fuelled Vehicles 44 10

  5. 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

    2010-03-31T23:59:59.000Z

    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.

  6. 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...

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

    E-Print Network [OSTI]

    Collantes, Gustavo O

    2007-01-01T23:59:59.000Z

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

  8. 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...

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

    E-Print Network [OSTI]

    Prestero, Timothy (Timothy Jason), 1970-

    2001-01-01T23:59:59.000Z

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

  10. The electric vehicle experiment : developing the theoretical model for 2.672

    E-Print Network [OSTI]

    Zedler, Matthew R. (Matthew Robert)

    2007-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Collantes, Gustavo O

    2007-01-01T23:59:59.000Z

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

  12. Advances in Electric Drive Vehicle Modeling with Subsequent Experimentation and Analysis

    E-Print Network [OSTI]

    Hausmann, Austin Joseph

    2012-08-31T23:59:59.000Z

    A combination of stricter emissions regulatory standards and rising oil prices is leading many automotive manufacturers to explore alternative energy vehicles. In an effort to achieve zero tail pipe emissions, many of these ...

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

    E-Print Network [OSTI]

    Kearney, Michael J. (Michael Joseph)

    2011-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    device, such as a high-power battery. AVCEM has over 1000source, such as a peak-power battery, drives the vehicle Thedevice (say, a high-power battery) or traction battery must

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

    E-Print Network [OSTI]

    Wüstemeyer, Christoph

    2014-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    McDonald, Anthony D. (Anthony Douglas)

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Lum, Raymond Hon Kit

    2012-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bierlaire, Michel

    electric cars and petrol-driven ones and in particular which include the respondents' own cars. Electric vehicles have major advantages compared to the petrol-driven ones: they do not emit carbon dioxyde

  19. 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...

  20. Electric and Hybrid Vehicle Program, Site Operator Program. Quarterly progress report, October--December 1995 (first quarter of fiscal year 1996)

    SciTech Connect (OSTI)

    Francfort, J.E. [Lockheed Idaho Technologies Co., Idaho Falls, ID (United States); Bassett, R.R. [Sandia National Labs., Albuquerque, NM (United States); Briasco, S. [Los Angeles Dept. of Water and Power, CA (United States)] [and others

    1996-03-01T23:59:59.000Z

    This is the Site Operator Program quarterly report for USDOE electric and hybrid vehicle research. Its mission now includes the three major activity categories of advancement of electric vehicle (EV) technologies, development of infrastructure elements needed to support significant EV use and increasing public awareness and acceptance of EVs. The 11 Site Operator Program participants, their geographic locations, and the principal thrusts of their efforts are identified. The EV inventories of the site operators totals about 250 vehicles. The individual fleets are summarized.

  1. Electric and hybrid vehicle program, site operator program quarterly progress report for April through June 1996 (third quarter of fiscal year 1996)

    SciTech Connect (OSTI)

    Francfort, J. [Lockheed Idaho Technologies Co., Idaho Falls, ID (United States); Bassett, R.R. [Sandia National Labs., Albuquerque, NM (United States); Briasco, S. [Los Angeles Dept. of Water and Power, CA (United States)] [and others

    1997-01-01T23:59:59.000Z

    The US Department of Energy (DOE) Site Operator Program was initially established to meet the requirements of the Electric and Hybrid Vehicle Research, Development, and Demonstration Act of 1976. The Program has since evolved in response to new legislation and interests. The goals of the Site Operator Program include the field evaluation of electric vehicles (EVs) in real-world applications and environments; the advancement of electric vehicle technologies; the development of infrastructure elements necessary to support significant electric vehicle use; and increasing the awareness and acceptance of EVs by the public. The Site Operator Program currently consists of eleven participants under contract and two other organizations that have data-sharing agreements with the Program (Table ES-1). Several national organizations have joined DOE to further the introduction and awareness of electric vehicles, including: (1) EVAmerica (a utility program) and DOE conduct performance and evaluation tests to support market development for electric vehicles; and (2) DOE, the Department of Transportation, the Electric Transportation Coalition, and the Electric Vehicle Association of the Americas are conducting a series of workshops to encourage urban groups in Clean Cities (a DOE program) to initiate the policies and infrastructure development necessary to support large-scale demonstrations, and ultimately the mass market use, of electric vehicles. The current focus of the Program is the collection and dissemination of EV operations and performance data to aid in the evaluation of real-world EV use. This report contains several sections with vehicle evaluation as a focus.

  2. 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.

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

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

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

  4. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 2008 A794826 YEAR

  5. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR 2014

  6. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR 201434

  7. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR

  8. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR4

  9. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR43

  10. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR434

  11. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR43417

  12. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874 YEAR434170

  13. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR 2012

  14. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR

  15. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR42

  16. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR424

  17. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR4247

  18. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486 YEAR42478

  19. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874861 YEAR

  20. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874861 YEAR40

  1. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 200874861 YEAR4096

  2. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486111 YEAR

  3. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 20087486111 YEAR17

  4. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S. 2008748611196 YEAR

  5. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 2014 Males

  6. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 2014 Males16

  7. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 2014

  8. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 20144

  9. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 20144707

  10. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR 201447072540

  11. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR

  12. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8

  13. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557 563

  14. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557 56378

  15. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557 5637831

  16. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557 56378318

  17. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR8557

  18. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733 28

  19. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733 280

  20. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733 2801

  1. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733 280192

  2. YEAR

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe Interior U.S.3 YEAR855733

  3. Year

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand Motor444 U.S.Working and.

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

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

    SciTech Connect (OSTI)

    Ewell, R.; Awaya, H.

    1990-12-14T23:59:59.000Z

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

  7. 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...

  8. 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...

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

    E-Print Network [OSTI]

    Karplus, Valerie

    2012-07-31T23:59:59.000Z

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

  10. Armored Vehicle 

    E-Print Network [OSTI]

    Unknown

    2011-09-05T23:59:59.000Z

    This research is focused on designing a new generation of CAD tools that could help a ”hybrid vehicle” designer with the design process to come up with better vehicle configurations. The conventional design process for any type of hybrid...

  11. VEHICLE NETWORKS: ACHIEVING REGULAR FORMATION

    E-Print Network [OSTI]

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

  12. Energy Star Concepts for Highway Vehicles

    SciTech Connect (OSTI)

    Greene, D.L.

    2003-06-24T23:59:59.000Z

    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.

  13. 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...

  14. Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top...

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

    ratings. However, in recent years, hybrid vehicle technology has expanded throughout the automotive industry and now the list is dominated by hybrid vehicles, many of which are...

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

    E-Print Network [OSTI]

    Notaros, Branislav M.

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

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

    SciTech Connect (OSTI)

    Thomas, John F [ORNL

    2014-01-01T23:59:59.000Z

    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.

  17. HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution...

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

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

  18. Electric vehicles

    SciTech Connect (OSTI)

    Not Available

    1990-03-01T23:59:59.000Z

    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.

  19. Miniature Autonomous Robotic Vehicle (MARV)

    SciTech Connect (OSTI)

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

    1996-12-31T23:59:59.000Z

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

  20. Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities

    E-Print Network [OSTI]

    Williams, Brett D; Kurani, Kenneth S

    2007-01-01T23:59:59.000Z

    of electric and natural gas vehicles: draft report for yeardevice to compressed-natural-gas-vehicle consumers. ) Theof electric and natural gas vehicles” report for year one.

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

    E-Print Network [OSTI]

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

  2. Electric Vehicles

    ScienceCinema (OSTI)

    Ozpineci, Burak

    2014-07-23T23:59:59.000Z

    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.

  3. Electric Vehicles

    SciTech Connect (OSTI)

    Ozpineci, Burak

    2014-05-02T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Mi, Chunting "Chris"

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

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

    E-Print Network [OSTI]

    Kirschner, Denise

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

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

    Energy Savers [EERE]

    Charging Equipment (EVSE) Testing Data Vehicle Technologies Office: AVTA - Electric Vehicle Charging Equipment (EVSE) Testing Data Electric vehicle chargers (otherwise known as...

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

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

    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...

  8. Commercial Vehicle Classification using Vehicle Signature Data

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    1990-06-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Collantes, Gustavo

    2005-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Collantes, Gustavo O

    2005-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Oehlerking, Austin Louis

    2011-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Yip, Arthur Hong Chun

    2014-01-01T23:59:59.000Z

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

  14. 192 Int. J. Vehicle Systems Modelling and Testing, Vol. 1, Nos. 1/2/3, 2005 Copyright 2005 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    Lewis, Kemper E.

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

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

    E-Print Network [OSTI]

    Dimarogonas, Dimos

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

  16. Economic and Environmental Optimization of Vehicle Fleets: A Case Study of the Impacts of Policy, Market, Utilization, and

    E-Print Network [OSTI]

    Bertini, Robert L.

    of utilization (mileage per year per vehicle) and gasoline prices on fleet management decisions estimating energy in scenarios with high gasoline prices and/or utilization, (b) current European CO2 cap and trade emissions with high gasoline prices and vehicle utilization. This research indicates that the proposed model can

  17. Electric Drive Vehicle Level Control Development Under Various...

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

    Review 2014: Vehicle Level Model and Control Development and Validation Under Various Thermal Conditions Advanced Technology Vehicle Lab Benchmarking - Level 2 (in-depth)...

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

    E-Print Network [OSTI]

    Demirel, Melik C.

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

  19. Robotic vehicle

    DOE Patents [OSTI]

    Box, W. Donald (Oak Ridge, TN)

    1998-01-01T23:59:59.000Z

    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.

  20. Robotic vehicle

    DOE Patents [OSTI]

    Box, W. Donald (Oak Ridge, TN)

    1997-01-01T23:59:59.000Z

    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.

  1. Robotic vehicle

    DOE Patents [OSTI]

    Box, W.D.

    1998-08-11T23:59:59.000Z

    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.

  2. Robotic vehicle

    DOE Patents [OSTI]

    Box, W.D.

    1997-02-11T23:59:59.000Z

    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.

  3. Design, Modeling And Control Of Steering And Braking For An Urban Electric Vehicle

    E-Print Network [OSTI]

    Maciua, Dragos

    1996-01-01T23:59:59.000Z

    Design, Modeling and Control of Steering and Braking for anDesign, Modeling and Control of Steering and Braking for anDesign, Modeling and Control of Steering and Braking for an

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

    E-Print Network [OSTI]

    Williams, Mark Robert

    1993-01-01T23:59:59.000Z

    A computer model was developed to simulate the transient operation of a hypothetical endothermic fuel cooling system. The model simulated the performance of a cross-flow, shell and tube heat exchanger. This model was applied to a representative...

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

    SciTech Connect (OSTI)

    None

    2007-09-30T23:59:59.000Z

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

  6. Vehicle Technologies Office - AVTA: Hybrid-Electric Tractor Vehicles...

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

    Tractor Vehicles Vehicle Technologies Office - AVTA: Hybrid-Electric Tractor Vehicles The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries out testing on a...

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

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

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

  8. Electric and hybrid vehicle program; Site Operator Program. Quarterly progress report, January--March 1992 (Second quarter of fiscal year 1992)

    SciTech Connect (OSTI)

    Warren, J.F.

    1992-05-01T23:59:59.000Z

    Activities during the second quarter included the second meeting of the Site Operators in Phoenix, AZ in late April. The meeting was held in conjunction with the Solar and Electric 500 Race activities. Delivery of vehicles ordered previously has begun, although two of the operators are experiencing some delays in receiving their vehicles. Public demonstration activities continue, with an apparent increasing level of awareness and interest being displayed by the public. Initial problems with the Site Operator Database have been corrected and revised copies of the program have been supplied to the Program participants. Operating and Maintenance data is being supplied and submitted to INEL on a monthly basis. Interest in the Site Operator Program is being reflected in requests for information from several organizations from across the country, representing a wide diversity of interests. These organizations have been referred to existing Site Operators with the explanation that the program will not be adding new participants, but that most of the existing organizations are willing to work with other groups. The exception to this was the addition of Potomac Electric Power Company (PEPCO) to the program. PEPCO has been awarded a subcontract to operate and maintain the DOE owned G-Van and Escort located in Washington, DC. They will provide data on these vehicles, as well as a Solectria Force which PEPCO has purchased. The Task Force intends to be actively involved in the infrastructure development in a wide range of areas. These include, among others, personnel development, safety, charging, and servicing. Work continues in these areas. York Technical College (YORK) has completed the draft outline for the EV Technician course. This is being circulated to organizations around the country for comments. Kansas State University (KSU) is working with a private sector company to develop a energy dispensing meter for opportunity charging in public areas.

  9. 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...

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

    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 advancements in...

  11. 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...

  12. 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...

  13. 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...

  14. Commercializing Light-Duty Plug-In/Plug-Out Hydrogen-Fuel-Cell Vehicles: "Mobile Electricity" Technologies, Early California Household Markets, and Innovation Management

    E-Print Network [OSTI]

    Williams, Brett D

    2010-01-01T23:59:59.000Z

    of electric and natural gas vehicles: draft report for yeardevice to compressed-natural-gas-vehicle consumers. ) Theof electric and natural gas vehicles” report for year one.

  15. Commercializing Light-Duty Plug-In/Plug-Out Hydrogen-Fuel-Cell Vehicles:“Mobile Electricity” Technologies, Early California Household Markets, and Innovation Management

    E-Print Network [OSTI]

    Williams, Brett D

    2007-01-01T23:59:59.000Z

    of electric and natural gas vehicles: draft report for yeardevice to compressed-natural-gas-vehicle consumers. ) Theof electric and natural gas vehicles” report for year one.

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

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2008-01-01T23:59:59.000Z

    derived from a basic diagnostic fuel cell model [3] was usedExperimental Diagnostics in Polymer Electrolyte Fuel Cells,

  17. A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials

    E-Print Network [OSTI]

    Delucchi, Mark

    2003-01-01T23:59:59.000Z

    duty fuel cell vehicles using gasoline, methanol, ethanol,fuel-cell vehicle with a proton-exchange membrane (PEM) and methanolmethanol), fuel feedstocks (e.g. , coal), and vehicle types (e.g. , fuel-cell vehicle).

  18. Modeling and Simulation of a Two wheeled vehicle with suspensions by using Robotic Formalism

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , France (Philippe.chevrel@emn.fr) Abstract: Models, simulators and control strategies are required tools in various situations (e.g. for control application) as simplified model for 3 or 4 wheeled (tilting) cars. In that way, the dynamic model is easy to implement and the system can be used for control applications

  19. Running loss emissions from in-use vehicles (CRC project number E-35-2). Final report

    SciTech Connect (OSTI)

    Haskew, H.M.; Eng, K.D.; Liberty, T.F.; Reuter, R.M.

    1999-02-01T23:59:59.000Z

    In Mesa, Arizona, a total of 150 vehicles were recruited at a local I/M lane and tested for running loss emissions at the Automotive Testing Labs (ATL). Running loss emissions were measured in a Running Loss SHED (Sealed Housing for Evaporative Determination) for a 25 minute, 7.5 mile trip on a hot summer day (95 deg F). Vehicles from model years 1971 through 1991 were tested. The program identified 30 vehicles as candidates for repair and retest. The result showed a very high (ca. 90%) effectiveness for the repairs. Repeat tests were run on 10 vehicles to provide an estimate for test-to-test variability.

  20. Autonomous vehicles

    SciTech Connect (OSTI)

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

    1996-08-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Wang, M. Q.

    1998-12-16T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    response to gasoline prices by investigating whether or not U.S. households alter their reliance on higher fuel economy vehicles in response to gasoline price changes. Using micro-level household vehicle usage data collected during a period of gasoline price fluctuations in 2008 to 2009, the econometric analysis

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

    E-Print Network [OSTI]

    , including prevention of road accidents, optimal fuel usage, comfort and convenience. In recent years the Defense Advanced Research Projects Agency (DARPA) has taken a lead on encouraging research in this area based approach which encompasses both geometric and dynamic This work was in part supported

  5. Motor Vehicle Administration 6601 Ritchie Highway, N.E.

    E-Print Network [OSTI]

    Miami, University of

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

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

    E-Print Network [OSTI]

    Vermont, University of

    model the system. We examine sensitivity of the model to gasoline prices, to accuracy in estimation), and that increases in gasoline prices could nonlinearly magnify the impact on fleet efficiency. We also infer in Ireland. As primary power sources for the electric grid become greener and gasoline prices increase

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

    SciTech Connect (OSTI)

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

    2012-12-01T23:59:59.000Z

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

  8. An Analysis of the Relationship between Casualty Risk Per Crash and Vehicle Mass and Footprint for Model Year 2000-2007 Light-Duty Vehicles-Preliminary report

    E-Print Network [OSTI]

    Wenzel, Tom

    2013-01-01T23:59:59.000Z

    or heavy-duty pickup, side airbag variables in cars, andstar ratings, seatbelt and airbag requirements, and roofNHTSA excluded the driver airbag control variables in the

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

    SciTech Connect (OSTI)

    Not Available

    2013-12-01T23:59:59.000Z

    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.

  10. Hydrogen Fuel Cell Vehicles

    E-Print Network [OSTI]

    Delucchi, Mark

    1992-01-01T23:59:59.000Z

    vehicles except the methanol/fuel cell vehicle and the BPEVe estimates for the methanol/fuel cell vehicle are based onbiomass-derived methanol used in fuel cell vehicles. Several

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

    E-Print Network [OSTI]

    Karplus, V.J.

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

  12. Characterization and modeling of a shape memory allow actuated biomimetic vehicle

    E-Print Network [OSTI]

    Garner, Luke Jay

    1999-01-01T23:59:59.000Z

    describes the design, modeling, and testing of a single segment demonstration SMA actuated hydrofoil. The SMA actuation elements are two sets of thin wires on either side of an elastomeric component that joins together the leading and trailing edges...

  13. Robotic vehicle

    DOE Patents [OSTI]

    Box, W. Donald (115 Newhaven Rd., Oak Ridge, TN 37830)

    1994-01-01T23:59:59.000Z

    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.

  14. Robotic vehicle

    DOE Patents [OSTI]

    Box, W. Donald (Oak Ridge, TN)

    1996-01-01T23:59:59.000Z

    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.

  15. Robotic vehicle

    DOE Patents [OSTI]

    Box, W.D.

    1996-03-12T23:59:59.000Z

    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.

  16. Robotic vehicle

    DOE Patents [OSTI]

    Box, W.D.

    1994-03-15T23:59:59.000Z

    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.

  17. Vehicle Technologies Office: Advanced Vehicle Testing Activity...

    Energy Savers [EERE]

    (AVTA) Data and Results The Vehicle Technologies Office (VTO) supports work to develop test procedures and carry out testing on a wide range of advanced vehicles and technologies...

  18. AVTA: Hybrid-Electric Tractor Vehicles

    Broader source: Energy.gov [DOE]

    The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries out testing on a wide range of advanced vehicles and technologies on dynamometers, closed test tracks, and on-the-road. These results provide benchmark data that researchers can use to develop technology models and guide future research and development. The following set of reports describes data collected from hybrid-electric tractor vehicles in the Coca-Cola fleet. This research was conducted by the National Renewable Energy Laboratory (NREL).

  19. Stochastic Dynamic Vehicle Routing in the Euclidean Plane: The Multiple-Server, Capacitated Vehicle Case

    E-Print Network [OSTI]

    Bertsimas, Dimitris J.

    In a previous paper [12], we introduced a new model for stochastic and dynamic vehicle routing called the dynamic traveling repairman problem (DTRP), in which a vehicle traveling at constant velocity in a Euclidean region ...

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport in RepresentativeDepartment ofDepartmentLast Ten YearsU.S.74%

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

    SciTech Connect (OSTI)

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

    1994-12-15T23:59:59.000Z

    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.

  2. Parallel implementation and one year experiments with the Danish Euleian Model

    E-Print Network [OSTI]

    Dimov, Ivan

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

  3. ANINTEGERPROGRAMMINGMODELFORASSIGNING UNMANNED AIR VEHICLES TO TASKS

    E-Print Network [OSTI]

    Nygard, Kendall E.

    the mission. An integer linear program is posed for assembling the vehicles into sub-teams. The model as a generalization of a linear network model presented in [Nygard et. al.], which is limited to the assignment is allowed. #12;An Integer Programming Model for Assigning Unmanned Air Vehicles to Tasks 3 The model

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

    SciTech Connect (OSTI)

    Singh, M.; Energy Systems; TA Engineering

    2008-02-29T23:59:59.000Z

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

  5. 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...

  6. 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...

  7. Climate and energy policy for U.S. passenger vehicles : a technology-rich economic modeling and policy analysis

    E-Print Network [OSTI]

    Karplus, Valerie J

    2011-01-01T23:59:59.000Z

    Climate and energy security concerns have prompted policy action in the United States and abroad to reduce petroleum use and greenhouse gas (GHG) emissions from passenger vehicles. Policy affects the decisions of firms and ...

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

    E-Print Network [OSTI]

    Supple, Derek R. (Derek Richard)

    2007-01-01T23:59:59.000Z

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

  9. 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...

  10. Vehicle Technologies Office Merit Review 2015: Assessing 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 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about assessing the...

  11. 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...

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

    Broader source: Energy.gov [DOE]

    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...

  13. Identifying Contributions of On-road Motor Vehicles to Urban Air Pollution Using Travel Demand Model Data

    E-Print Network [OSTI]

    Wang, Guihua; Bai, Song; Ogden, Joan M.

    2009-01-01T23:59:59.000Z

    of Motor-Vehicle Air Pollution. University of California athave a different pollution episode location issue, as com-TOG have a comparable pollution level, and both are roughly

  14. 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...

  15. 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...

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

    SciTech Connect (OSTI)

    Peter J. Blau

    2000-04-26T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Peters, Steven C. (Steven Conrad)

    2012-01-01T23:59:59.000Z

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

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

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

    Vehicle Systems DOE Vehicle Technologies Program 2009 Merit Review Report - Vehicle Systems Merit review of DOE Vehicle Technologies Program research efforts 2009meritreview1.p...

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

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

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

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

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

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

  1. 2010 DOE EERE Vehicle Technologies Program Merit Review - Vehicle...

    Energy Savers [EERE]

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

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

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

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

  3. 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

    Broader source: Energy.gov [DOE]

    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...

  4. 2014 Annual Merit Review, Vehicle Technologies Office - 05 Fuel...

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

    offered that this could save more petroleum in one year than electric vehicles (EV) or fuel-cell vehicles will in decades, or ever. A 2% increase across the entire fleet is a huge...

  5. Fuel Prices and New Vehicle Fuel Economy in Europe

    E-Print Network [OSTI]

    Klier, Thomas

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

  6. Clean Cities Publishes 2014 Vehicle Buyer's Guide | Department...

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

    flex-fuel vehicles, and vehicles that run on natural gas, propane, electricity, or biodiesel. This new guide features a comprehensive list of this year'ss light-duty lineup,...

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

    SciTech Connect (OSTI)

    James E. Francfort

    2009-07-01T23:59:59.000Z

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

  8. Feasibility of Thermoelectrics for Waste Heat Recovery in Conventional Vehicles

    SciTech Connect (OSTI)

    Smith, K.; Thornton, M.

    2009-04-01T23:59:59.000Z

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

  9. Hydrogen vehicle fueling station

    SciTech Connect (OSTI)

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

    1995-09-01T23:59:59.000Z

    The authors describe a hydrogen vehicle fueling station that receives and stores hydrogen in liquid form and dispenses it either as a liquid or compressed gas. The economics that accrue from the favorable weight and volume advantages of liquid hydrogen support this concept both now and probably for some time to come. The model for liquid transfer to a 120-liter vehicle tank shows that transfer times under five minutes are feasible with pump-assisted transfer, or for pressure transfer with subcooling greater than 1 K. The model for compressed gas transfer shows that underfilling of nearly 30% can occur during rapid filling. Cooling the fill gas to 214 K completely eliminates underfilling.

  10. Progress in year 1994 1. An analytical model for evaporative cooling

    E-Print Network [OSTI]

    Progress in year 1994 1. An analytical model for evaporative cooling We have developed an analytical model for evaporative cooling [1]. By simulating evaporation as a sequence of discrete steps, we the cloud rethermalizes and ensures efficient evaporative cooling. 2. Elastic collision cross section

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

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

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

  12. Vehicle Technologies Office Merit Review 2015: Significant Enhancement...

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

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

  13. Assessing Vehicle Electricity Demand Impacts on California Electricity Supply

    E-Print Network [OSTI]

    McCarthy, Ryan W.

    2009-01-01T23:59:59.000Z

    model simulates grid response to a number of scenarios relating to increased levels of vehicle recharging or renewable power

  14. Advanced Vehicle Technology Competition: Challenge-X 2008 DOE...

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

    combustion, energy storage technology, electric machines, high power electronics, fuel cells, vehicle simulation modeling, and other critical technologies Explore technical...

  15. Real-World Emissions from Model Year 1993, 2000, and 2010 Passenger Cars

    E-Print Network [OSTI]

    Ross, M.

    2010-01-01T23:59:59.000Z

    emissions. To control running loss emissions, CARBhas established a running loss emission standard of 0.05during vehicle operation. 3) Running losses, the evaporative

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

    SciTech Connect (OSTI)

    Steefel, Carl

    2014-01-06T23:59:59.000Z

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

  17. Fact #871: May 4, 2015 Most Manufacturers Have Positive CAFE Credit Balances at the End of Model Year 2013 – Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Most Manufacturers Have Positive CAFE Credit Balances at the End of Model Year 2013

  18. Heavy Duty Vehicle Futures Analysis.

    SciTech Connect (OSTI)

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

    2014-05-01T23:59:59.000Z

    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.

  19. Hydrogen Fuel Cell Vehicles

    E-Print Network [OSTI]

    Delucchi, Mark

    1992-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

  1. Advanced Vehicle Testing & Evaluation

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

    Vehicle Accelerated Reliability Test Battery Electric Vehicle Fast Charge Test Battery Energy Storage Performance Test For DC Fast Charge Demand Reduction...

  2. Commercial Motor Vehicle Brake Assessment Tools

    E-Print Network [OSTI]

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

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

    SciTech Connect (OSTI)

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

    1999-03-01T23:59:59.000Z

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

  4. Trends in on-road vehicle emissions of ammonia

    SciTech Connect (OSTI)

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

    2008-07-15T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Shaheen, Susan

    2004-01-01T23:59:59.000Z

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

  6. Electric and hybrid electric vehicles: A technology assessment based on a two-stage Delphi study

    SciTech Connect (OSTI)

    Vyas, A.D.; Ng, H.K.; Santini, D.J.; Anderson, J.L.

    1997-12-01T23:59:59.000Z

    To address the uncertainty regarding future costs and operating attributes of electric and hybrid electric vehicles, a two stage, worldwide Delphi study was conducted. Expert opinions on vehicle attributes, current state of the technology, possible advancements, costs, and market penetration potential were sought for the years 2000, 2010, and 2020. Opinions related to such critical components as batteries, electric drive systems, and hybrid vehicle engines, as well as their respective technical and economic viabilities, were also obtained. This report contains descriptions of the survey methodology, analytical approach, and results of the analysis of survey data, together with a summary of other factors that will influence the degree of market success of electric and hybrid electric vehicle technologies. Responses by industry participants, the largest fraction among all the participating groups, are compared with the overall responses. An evaluation of changes between the two Delphi stages is also summarized. An analysis of battery replacement costs for various types is summarized, and variable operating costs for electric and hybrid vehicles are compared with those of conventional vehicles. A market penetration analysis is summarized, in which projected market shares from the survey are compared with predictions of shares on the basis of two market share projection models that use the cost and physical attributes provided by the survey. Finally, projections of market shares beyond the year 2020 are developed by use of constrained logit models of market shares, statistically fitted to the survey data.

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

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

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

  8. YEAR PROGRESS REPORT TITLE: Global Modeling of Tropospheric Aerosols and Their Contribution to Climate Variation

    E-Print Network [OSTI]

    as CCN would cool the climate system by about ­1.16 W m-2 , while carbonaceous aerosols from fossil fuel combustion acting alone may cool the system by about ­0.52 W m-2 (see Table 1). However, because-1- GACP 2nd YEAR PROGRESS REPORT TITLE: Global Modeling of Tropospheric Aerosols

  9. Paper submission for ASIS Mid-Year 1996 meeting: Digital Library Models and Prospects

    E-Print Network [OSTI]

    Newby, Gregory B.

    Paper submission for ASIS Mid-Year 1996 meeting: Digital Library Models and Prospects by Gregory B Digital libraries are the means by which people of the next millennium will access materials found in current libraries, yet the nature of digital libraries is only now being shaped. Different visions

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

    E-Print Network [OSTI]

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

  11. AVTA: Hybrid-Electric Delivery Vehicles

    Broader source: Energy.gov [DOE]

    The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries out testing on a wide range of advanced vehicles and technologies on dynamometers, closed test tracks, and on-the-road. These results provide benchmark data that researchers can use to develop technology models and guide future research and development. The following set of reports describes data collected from testing on FedEx Express and UPS hybrid-electric delivery trucks. This research was conducted by the National Renewable Energy Laboratory (NREL).

  12. AVTA: 2010 Electric Vehicles International Neighborhood Electric...

    Energy Savers [EERE]

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

  13. Think City Electric Vehicle Demonstration Program

    SciTech Connect (OSTI)

    Ford Motor Company

    2005-03-01T23:59:59.000Z

    The THINK city Electric Vehicle (EV) Demonstration Program Project, initiated late 2001, has been successfully completed as of April 2005. US. Partners include Federal, State and Municipal agencies as well as commercial partners. Phase I, consisting of placement of the vehicles in demonstration programs, was completed in 2002. Phase II, the monitoring of these programs was completed in 2004. Phase III, the decommissioning and/or exporting of vehicles concluded in 2005. Phase I--the Program successfully assigned 192 EV's with customers (including Hertz) in the state of California, 109 in New York (including loaner and demo vehicles), 16 in Georgia, 7 to customers outside of the US and 52 in Ford's internal operations in Dearborn Michigan for a total of 376 vehicles. The Program was the largest operating Urban EV Demonstration Project in the United States. Phase II--the monitoring of the operational fleet was ongoing and completed in 2004, and all vehicles were returned throughout 2004 and 2005. The Department of Energy (DOE) was involved with the monitoring of the New York Power Authority/THINK Clean Commute Program units through partnership with Electric Transportation Engineering Corporation (ETEC), which filed separate reports to DOE. The remainder of the field fleet was monitored through Ford's internal operations. Vehicles were retired from lease operation throughout the program for various operator reasons. Some of the vehicles were involved in re-leasing operations. At the end of the program, 376 vehicles had been involved, 372 of which were available for customer use while 4 were engineering prototype and study vehicles. Phase III--decommissioning and/or export of vehicles. In accordance with the NHTSA requirement, City vehicles could not remain in the United States past their three-year allowed program timeframe. At the end of leases, City vehicles have been decommissioned and/or exported to KamKorp in Norway.

  14. Advisor 2.0: A Second-Generation Advanced Vehicle Simulator for Systems Analysis

    SciTech Connect (OSTI)

    Wipke, K.; Cuddy, M.; Bharathan, D.; Burch, S.; Johnson, V.; Markel, A.; Sprik, S.

    1999-03-23T23:59:59.000Z

    The National Renewable Energy Laboratory has recently publicly released its second-generation advanced vehicle simulator called ADVISOR 2.0. This software program was initially developed four years ago, and after several years of in-house usage and evolution, the tool is now available to the public through a new vehicle systems analysis World Wide Web page. ADVISOR has been applied to many different systems analysis problems, such as helping to develop the SAE J1711 test procedure for hybrid vehicles and helping to evaluate new technologies as part of the Partnership for a New Generation of Vehicles (PNGV) technology selection process. The model has been and will continue to be benchmarked and validated with other models and with real vehicle test data. After two months of being available on the Web, more than 100 users have downloaded ADVISOR. ADVISOR 2.0 has many new features, including an easy-to-use graphical user interface, a detailed exhaust aftertreatment thermal model, and complete browser-based documentation. Future work will include adding to the library of components available in ADVISOR, including optimization functionality, and linking with a more detailed fuel cell model.

  15. Massachusetts Electric Vehicle Efforts

    E-Print Network [OSTI]

    California at Davis, University of

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

  16. > 070131-073Vehicle

    E-Print Network [OSTI]

    Marques, Eduardo R. B.

    on collaborative control ofAutonomous Underwater Vehicles (AUV), Unmanned Aerial Vehicles (UAV) and Autonomous. In another configuration, Swordfish mounts a docking station for the autonomous underwater vehicle Isurus Terms-Autonomous Surface Vehicles, ocean robotics, marine science operations, unmanned survey vessels. I

  17. Alternative Fuel Vehicle Data

    Reports and Publications (EIA)

    2013-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2012-08-01T23:59:59.000Z

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

  19. Lie Group Integrators for Animation and Control of Vehicles

    E-Print Network [OSTI]

    Desbrun, Mathieu

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

  20. Quantifying the benefits of hybrid vehicles

    E-Print Network [OSTI]

    Turrentine, Tom; Delucchi, Mark; Heffner, Reid R.; Kurani, Kenneth S; Sun, Yongling

    2006-01-01T23:59:59.000Z

    vehicles will reduce oil use and pollution in the year 2010.percentage reduction in oil use or pollution is equal to thetotal reductions in pollution and oil use will be much less

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

    E-Print Network [OSTI]

    Ickert-Bond, Steffi

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

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

    E-Print Network [OSTI]

    Ickert-Bond, Steffi

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

  3. Biofuels, Climate Policy and the European Vehicle Fleet

    E-Print Network [OSTI]

    Rausch, Sebastian

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

  4. Adaptive Rollover Prevention for Automotive Vehicles with Differential Braking

    E-Print Network [OSTI]

    Duffy, Ken

    Adaptive Rollover Prevention for Automotive Vehicles with Differential Braking Selim Solmaz, switching, and tuning (MMST) paradigm [13, 14, 15] for preventing un­tripped rollover in automotive vehicles performance than its fixed robust counterpart. Keywords: Automotive control; Multiple models; Parameter

  5. An Optimized International Vehicle Monitor

    SciTech Connect (OSTI)

    York, R.L.; Close, D.A.; Fehlau, P.E.

    1999-07-16T23:59:59.000Z

    This is the final report of a one-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The goal of this project was to evaluate detector configurations to achieve a vehicle monitor that is economical, practical to install, and has adequate sensitivity to be an effective barrier to illegal transportation of special nuclear materials. We designed a new detector configuration that improves the sensitivity of available drive-through vehicle monitors by more than a factor of 5 while not changing the nuisance alarm rate.

  6. AGGREGATION ALGORITHMS IN A VEHICLE-TO-VEHICLE-TO-

    E-Print Network [OSTI]

    Miller, Jeffrey A.

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

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

    SciTech Connect (OSTI)

    Slater, C.E.

    1991-11-01T23:59:59.000Z

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

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

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

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

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

    E-Print Network [OSTI]

    Evangeline Pollard; Fawzi Nashashibi

    2013-01-01T23:59:59.000Z

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

  10. 2008 Vehicle Technologies Market Report

    SciTech Connect (OSTI)

    Ward, J.; Davis, S.

    2009-07-01T23:59:59.000Z

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

  11. 2010 Vehicle Technologies Market Report

    SciTech Connect (OSTI)

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

    2011-06-01T23:59:59.000Z

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

  12. Vehicle to Grid Demonstration Project

    SciTech Connect (OSTI)

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

    2010-12-31T23:59:59.000Z

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

  13. Effects of Vehicle Image in Gasoline-Hybrid Electric Vehicles

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

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

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

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

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

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

    Energy Savers [EERE]

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

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

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

    and Modeling Approach for the Design of High Coulombic Efficiency Si Electrodes Vehicle Technologies Office Merit Review 2014: A Combined Experimental and Modeling Approach...

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

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

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

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

    E-Print Network [OSTI]

    Gougoulidis, Georgios

    2005-01-01T23:59:59.000Z

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

  19. Economic and Environmental Optimization of Vehicle Fleets: A Case Study of the Impacts of Policy, Market, Utilization, and

    E-Print Network [OSTI]

    the impacts of utilization (mileage per year per vehicle) and gasoline prices on vehicle purchasing decisions increase the rate of purchases of hybrid or electric vehicles in scenarios with high gasoline prices efficient vehicles such as hybrid and electric vehicles are purchased only in scenarios with high gasoline

  20. Vehicle Technologies and Bus Fleet Replacement Optimization

    E-Print Network [OSTI]

    Bertini, Robert L.

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

  1. Richmond Electric Vehicle Initiative Electric Vehicle Readiness...

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

    The REVi plan addresses the electric vehicle market in Richmond and then addresses a regional plan, policies, and analysis of the the communities readiness. richmondevinitiative....

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

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

    to maximize usage, educating the public and coordinating with utilities. The Vehicle Technologies Office is partnering with city governments, local organizations, and...

  3. Richmond Electric Vehicle Initiative Electric Vehicle Readiness...

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

    reflect those of the United States Government or any agency thereof. Richmond Electric Vehicle Initiative Readiness Plan | 1 Table of Contents Executive Summary...

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

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

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

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

    Office of Environmental Management (EM)

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

  6. Electric Drive Vehicle Demonstration and Vehicle Infrastructure...

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

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

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

    Energy Savers [EERE]

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

  8. The Case for Electric Vehicles

    E-Print Network [OSTI]

    Sperling, Daniel

    2001-01-01T23:59:59.000Z

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

  9. Electric Vehicle Smart Charging Infrastructure

    E-Print Network [OSTI]

    Chung, Ching-Yen

    2014-01-01T23:59:59.000Z

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

  10. Coordinating Automated Vehicles via Communication

    E-Print Network [OSTI]

    Bana, Soheila Vahdati

    2001-01-01T23:59:59.000Z

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

  11. Sandia National Laboratories: Vehicle Technologies

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

    EfficiencyVehicle Technologies Vehicle Technologies Combustion Research Facility (CRF) Vehicle Technology programs at Sandia share a common goal: reducing dependence on...

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

    SciTech Connect (OSTI)

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

    1996-08-01T23:59:59.000Z

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

  13. The Hydrogen Infrastructure Transition Model (HIT) & Its Application in Optimizing a 50-year Hydrogen Infrastructure for Urban Beijing

    E-Print Network [OSTI]

    Lin, Zhenhong; Ogden, J; Fan, Yueyue; Sperling, Dan

    2006-01-01T23:59:59.000Z

    Zoia (2005). "Hydrogen infrastructure strategic planningITS—RR—06—05 The Hydrogen Infrastructure Transition Model (a 50-year Hydrogen Infrastructure for Urban Beijing Zhenhong

  14. The Hydrogen Infrastructure Transition (HIT) Model and Its Application in Optimizing a 50-year Hydrogen Infrastructure for Urban Beijing

    E-Print Network [OSTI]

    Lin, Zhenhong; Ogden, Joan M; Fan, Yueyue; Sperling, Dan

    2006-01-01T23:59:59.000Z

    Zoia (2005). "Hydrogen infrastructure strategic planningITS—RR—06—05 The Hydrogen Infrastructure Transition Model (a 50-year Hydrogen Infrastructure for Urban Beijing Zhenhong

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

    E-Print Network [OSTI]

    Naga, Raghavender P

    2007-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Yang, Zong-Liang

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

  17. 2011 Vehicle Technologies Market Report

    SciTech Connect (OSTI)

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

    2012-02-01T23:59:59.000Z

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

  18. Electric vehicles: How much range is required for a day's driving? Nathaniel S. Pearre a,

    E-Print Network [OSTI]

    Firestone, Jeremy

    Electric vehicles: How much range is required for a day's driving? Nathaniel S. Pearre a, , Willett online xxxx Keywords: Electric vehicle Plug-in vehicle Daily driving range Range requirement Trip timing Vehicle design a b s t r a c t One full year of high-resolution driving data from 484 instrumented

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

    E-Print Network [OSTI]

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

  20. Social networking in vehicles

    E-Print Network [OSTI]

    Liang, Philip Angus

    2006-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2008-01-31T23:59:59.000Z

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

  2. A Loop Material Flow System Design for Automated Guided Vehicles

    E-Print Network [OSTI]

    Dessouky, Maged

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

  3. SYSTEM IDENTIFICATION OF UNDERWATER VEHICLES Javier Pereira and Alec Duncan

    E-Print Network [OSTI]

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

  4. Automated Vehicle-to-Vehicle Collision Avoidance at Intersections

    E-Print Network [OSTI]

    Del Vecchio, Domitilla

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

  5. Motor Vehicle Record Procedure Objective

    E-Print Network [OSTI]

    Kirschner, Denise

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

  6. Energy 101: Electric Vehicles

    ScienceCinema (OSTI)

    None

    2013-05-29T23:59:59.000Z

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

  7. Washington State Electric Vehicle

    E-Print Network [OSTI]

    California at Davis, University of

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

  8. Automotive vehicle sensors

    SciTech Connect (OSTI)

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

    1995-09-01T23:59:59.000Z

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

  9. Powertrain & Vehicle Research Centre

    E-Print Network [OSTI]

    Burton, Geoffrey R.

    Powertrain & Vehicle Research Centre Low Carbon Powertrain Development S. Akehurst, EPSRC Advanced Research Fellow A vehicles powertrain is a complex combination of interacting sub-systems which include complexity ·More efficient Vehicles, quicker to market, reduced cost to consumer The Optimisation Task

  10. Powertrain & Vehicle Research Centre

    E-Print Network [OSTI]

    Burton, Geoffrey R.

    Powertrain & Vehicle Research Centre Low Carbon Powertrain Development S Akehurst, EPSRC Advanced Viewing Trade-Offs and Finding Optima Realism Advanced Engine Test Vehicle Test Rolling Road Powertrain Simulation Basic Engine Test Vehicle Test Cost & Complexity Towards Final Product Lean Powertrain Development

  11. Comparative analysis of selected fuel cell vehicles

    SciTech Connect (OSTI)

    NONE

    1993-05-07T23:59:59.000Z

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

  12. DOE Project on Heavy Vehicle Aerodynamic Drag

    SciTech Connect (OSTI)

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

    2007-01-04T23:59:59.000Z

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

  13. Market penetration scenarios for fuel cell vehicles

    SciTech Connect (OSTI)

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

    1997-12-31T23:59:59.000Z

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

  14. Superpressure stratospheric vehicle

    SciTech Connect (OSTI)

    Chocol, C.; Robinson, W.; Epley, L.

    1990-09-15T23:59:59.000Z

    Our need for wide-band global communications, earth imaging and sensing, atmospheric measurements and military reconnaissance is extensive, but growing dependence on space-based systems raises concerns about vulnerability. Military commanders require space assets that are more accessible and under local control. As a result, a robust and low cost access to space-like capability has become a national priority. Free floating buoyant vehicles in the middle stratosphere can provide the kind of cost effective access to space-like capability needed for a variety of missions. These vehicles are inexpensive, invisible, and easily launched. Developments in payload electronics, atmospheric modeling, and materials combined with improving communications and navigation infrastructure are making balloon-borne concepts more attractive. The important milestone accomplished by this project was the planned test flight over the continental United States. This document is specifically intended to review the technology development and preparations leading up to the test flight. Although the test flight experienced a payload failure just before entering its assent altitude, significant data were gathered. The results of the test flight are presented here. Important factors included in this report include quality assurance testing of the balloon, payload definition and characteristics, systems integration, preflight testing procedures, range operations, data collection, and post-flight analysis. 41 figs., 5 tabs.

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

    SciTech Connect (OSTI)

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

    2014-10-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    1998-08-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    1998-08-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Swaddle, John

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

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

    SciTech Connect (OSTI)

    No, author

    2013-09-29T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    James Francfort; Donald Karner; Ryan Harkins; Joseph Tardiolo

    2006-02-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    David W. Nigg; Devin A. Steuhm

    2011-09-01T23:59:59.000Z

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

  2. Vehicle Technologies Office Merit Review 2015: A Systematic Multiscale Modeling and Experimental Approach to Understand Corrosion at Grain Boundaries in Magnesium Alloys

    Broader source: Energy.gov [DOE]

    Presentation given by Mississippi State University at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about a systematic...

  3. Economic Impacts Associated With Commercializing Fuel Cell Electric Vehicles in California: An Analysis of the California Road Map Using the JOBS H2 Model

    Broader source: Energy.gov [DOE]

    Report by Argonne National Laboratory summarizing an analysis of the economic impacts associated with commercializing fuel cell electric vehicles (FCEVs) in California.

  4. Hydrogen-Enhanced Natural Gas Vehicle Program

    SciTech Connect (OSTI)

    Hyde, Dan; Collier, Kirk

    2009-01-22T23:59:59.000Z

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

  5. Vehicle Technologies Office: AVTA- Hybrid Electric Vehicles

    Broader source: Energy.gov [DOE]

    The Advanced Vehicle Testing Activity (AVTA) uses standard procedures and test specifications to test and collect data from vehicles on dynamometers, closed test tracks, and on-the-road. This page provides data on the hybrid electric versions of the Volkswagen Jetta, Ford C-Max, Chevrolet Malibu, Honda Civic, Hyundai Sonata, Honda CRZ, Honda Civic with Advanced Experimental Ultra Lead Acid Battery, Mercedes Benz, Toyota Prius Gen III, Ford Fusion, Honda Insight and Honda CR-Z.

  6. Kandler Smith, NREL EDV Battery Robust Design -1 Design of Electric Drive Vehicle

    E-Print Network [OSTI]

    Kandler Smith, NREL EDV Battery Robust Design - 1 Design of Electric Drive Vehicle Batteries for significant market penetration to be achieved · Batteries are the most expensive component of the vehicle · Consumers expect >10 years vehicle life · Periodic battery replacement (e.g., every 5 years) not warranted

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

    SciTech Connect (OSTI)

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

    2012-09-01T23:59:59.000Z

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

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

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

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

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

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

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

  10. Vehicle Technologies Office Merit Review 2014: Synthetic Solutions...

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

    & Publications Cathode Synthesis and Voltage Fade: Designed Solutions Based on Theory Vehicle Technologies Office Merit Review 2014: Electrochemical Modeling of LMR-NMC...

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

    E-Print Network [OSTI]

    Cheng Cheng; Qing-Guo Huang

    2014-04-08T23:59:59.000Z

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

  12. Effect of Vehicle Mobility on Connectivity of Vehicular Ad Hoc Networks

    E-Print Network [OSTI]

    Zhou, Xiangyun "Sean"

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

  13. General Vehicle Performance Specifications for the UPRM AUV Vehicle Specifications

    E-Print Network [OSTI]

    Gilbes, Fernando

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

  14. Advanced Vehicle Electrification and Transportation Sector Electrifica...

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

    Advanced Vehicle Electrification and Transportation Sector Electrification Plug-in Hybrid (PHEV) Vehicle Technology Advancement and Demonstration Activity Advanced Vehicle...

  15. Vehicle underbody fairing

    DOE Patents [OSTI]

    Ortega, Jason M. (Pacifica, CA); Salari, Kambiz (Livermore, CA); McCallen, Rose (Livermore, CA)

    2010-11-09T23:59:59.000Z

    A vehicle underbody fairing apparatus for reducing aerodynamic drag caused by a vehicle wheel assembly, by reducing the size of a recirculation zone formed under the vehicle body immediately downstream of the vehicle wheel assembly. The fairing body has a tapered aerodynamic surface that extends from a front end to a rear end of the fairing body with a substantially U-shaped cross-section that tapers in both height and width. Fasteners or other mounting devices secure the fairing body to an underside surface of the vehicle body, so that the front end is immediately downstream of the vehicle wheel assembly and a bottom section of the tapered aerodynamic surface rises towards the underside surface as it extends in a downstream direction.

  16. AVTA: 2013 BRP 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 2013 BRP 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.

  17. AVTA: 2009 Vantage 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 two 2009 Vantage neighborhood electric vehicles (a pickup truck style and a van style). 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.

  18. Accomodating Electric Vehicles

    E-Print Network [OSTI]

    Aasheim, D.

    2011-01-01T23:59:59.000Z

    Accommodating Electric Vehicles Dave Aasheim 214-551-4014 daasheim@ecotality.com A leader in clean electric transportation and storage technologies ECOtality North America Overview Today ? Involved in vehicle electrification... ECOtality North America Overview Today ?Warehouse Material Handling ? Lift trucks ? Pallet Jacks ? Over 200 Customers ? Over 5,000 Installations ECOtality North America Overview Today ? 1990?s involved in EV1 ? EV Chargers ? Vehicle & battery...

  19. Accomodating Electric Vehicles 

    E-Print Network [OSTI]

    Aasheim, D.

    2011-01-01T23:59:59.000Z

    Accommodating Electric Vehicles Dave Aasheim 214-551-4014 daasheim@ecotality.com A leader in clean electric transportation and storage technologies ECOtality North America Overview Today ? Involved in vehicle electrification... ECOtality North America Overview Today ?Warehouse Material Handling ? Lift trucks ? Pallet Jacks ? Over 200 Customers ? Over 5,000 Installations ECOtality North America Overview Today ? 1990?s involved in EV1 ? EV Chargers ? Vehicle & battery...

  20. Vehicle Data for Alternative Fuel Vehicles (AFVs) and Hybrid Fuel Vehicles (HEVs) from the Alternative Fuels and Advanced Vehicles Data Center (AFCD)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The AFDC provides search capabilities for many different models of both light-duty and heavy-duty vehicles. Engine and transmission type, fuel and class, fuel economy and emission certification are some of the facts available. The search will also help users locate dealers in their areas and do cost analyses. Information on alternative fuel vehicles and on advanced technology vehicles, along with calculators, resale and conversion information, links to incentives and programs such as Clean Cities, and dozens of fact sheets and publications make this section of the AFDC a valuable resource for car buyers.

  1. Electric-Drive Vehicle Basics (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2011-04-01T23:59:59.000Z

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

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

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

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

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

    E-Print Network [OSTI]

    Koprinska, Irena

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

  4. Energy 101: Electric Vehicles

    Office of Energy Efficiency and Renewable Energy (EERE)

    This edition of Energy 101 highlights the benefits of electric vehicles, including improved fuel efficiency, reduced emissions, and lower maintenance costs.

  5. Hydrogen Fuel Cell Vehicles

    E-Print Network [OSTI]

    Delucchi, Mark

    1992-01-01T23:59:59.000Z

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

  6. Flex Fuel Vehicle Systems

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

    Flex Fuel Vehicle Systems * Bosch FFV Project Structure and Partners * Purpose of Work - Project Highlights * Barriers - Existing Flex Fuel Systems and Problems * Approach - Bosch...

  7. Georgia Tech Vehicle Acquisition and

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Lee, Moonsu

    2005-08-29T23:59:59.000Z

    -route material-handling systems from two different perspectives: the workcenters?? point of view and the transporters?? point of view. The state-dependent nature of the transportation time is considered here for more accurate analytical approximation models...

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

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

    Plug-in Electric Vehicle On-Road Demonstration Data Vehicle Technologies Office: AVTA - Plug-in Electric Vehicle On-Road Demonstration Data Through the American Recovery and...

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

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

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

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

    SciTech Connect (OSTI)

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

    2010-09-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2004-12-02T23:59:59.000Z

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

  13. OPTIMAL DESIGN OF HYBRID FUEL CELL VEHICLES

    E-Print Network [OSTI]

    Jeongwoo Han; Michael Kokkolaras; Panos Papalambros

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

  14. Advanced Vehicle Technology Analysis and Evaluation Team

    E-Print Network [OSTI]

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

  15. Vehicle Technologies Office Merit Review 2015: Advanced Vehicle Testing & Evaluation

    Broader source: Energy.gov [DOE]

    Presentation given by Intertek at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about advanced vehicle testing and...

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

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

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

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

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

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

  18. Electric Vehicle Service Personnel Training Program

    SciTech Connect (OSTI)

    Bernstein, Gerald

    2013-06-21T23:59:59.000Z

    As the share of hybrid, plug-in hybrid (PHEV), electric (EV) and fuel-cell (FCV) vehicles grows in the national automotive fleet, an entirely new set of diagnostic and technical skills needs to be obtained by the maintenance workforce. Electrically-powered vehicles require new diagnostic tools, technique and vocabulary when compared to existing internal combustion engine-powered models. While the manufacturers of these new vehicles train their own maintenance personnel, training for students, independent working technicians and fleet operators is less focused and organized. This DOE-funded effort provided training to these three target groups to help expand availability of skills and to provide more competition (and lower consumer cost) in the maintenance of these hybrid- and electric-powered vehicles. Our approach was to start locally in the San Francisco Bay Area, one of the densest markets in the United States for these types of automobiles. We then expanded training to the Los Angeles area and then out-of-state to identify what types of curriculum was appropriate and what types of problems were encountered as training was disseminated. The fact that this effort trained up to 800 individuals with sessions varying from 2- day workshops to full-semester courses is considered a successful outcome. Diverse programs were developed to match unique time availability and educational needs of each of the three target audiences. Several key findings and observations arising from this effort include: • Recognition that hybrid and PHEV training demand is immediate; demand for EV training is starting to emerge; while demand for FCV training is still over the horizon • Hybrid and PHEV training are an excellent starting point for all EV-related training as they introduce all the basic concepts (electric motors, battery management, controllers, vocabulary, testing techniques) that are needed for all EVs, and these skills are in-demand in today’s market. • Faculty training is widely available and can be relatively quickly achieved. Equipment availability (vehicles, specialized tools, diagnostic software and computers) is a bigger challenge for funding-constrained colleges. • A computer-based emulation system that would replicate vehicle and diagnostic software in one package is a training aid that would have widespread benefit, but does not appear to exist. This need is further described at the end of Section 6.5. The benefits of this project are unique to each of the three target audiences. Students have learned skills they will use for the remainder of their careers; independent technicians can now accept customers who they previously needed to turn away due to lack of familiarity with hybrid systems; and fleet maintenance personnel are able to lower costs by undertaking work in-house that they previously needed to outsource. The direct job impact is estimated at 0.75 FTE continuously over the 3 ½ -year duration of the grant.

  19. MKV Carrier Vehicle Sensor Calibration

    E-Print Network [OSTI]

    Plotnik, Aaron M.

    The Multiple Kill Vehicle (MKV) system, which is being developed by the US Missile Defense Agency (MDA), is a midcourse payload that includes a carrier vehicle and a number of small kill vehicles. During the mission, the ...

  20. The Vehicle Technologies Market Report

    E-Print Network [OSTI]

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