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Model-Based Fuel Economy Technology Assessment
Technical Paper
2017-01-0532
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Many leading companies in the automotive industry have been putting tremendous amount of efforts into developing new designs and technologies to make their products more energy efficient. It is straightforward to evaluate the fuel economy benefit of an individual technology in specific systems and components. However, when multiple technologies are combined and integrated into a whole vehicle, estimating the impact without building and testing an actual vehicle becomes very complex, because the efficiency gains from individual components do not simply add up. In an early concept phase, a projection of fuel efficiency benefits from new technologies will be extremely useful; but in many cases, the outlook has to rely on engineer’s insight since it is impractical to run tests for all possible technology combinations. This paper demonstrates a model-based framework to support new vehicle concept development by providing a full vehicle-level analysis of fuel economy, performance, and product cost via mixing and matching of available technologies and vehicle components. The simulation tool automatically assembles vehicle models from a user-definable component library and technology decision tree and analyzes the feasibility of the combination through its vehicle sizing/matching algorithm. The tool also applies an appropriate control strategy to a particular system configuration and runs vehicle simulations using a U.S. Environmental Protection Agency (EPA) five-cycle test procedure to assess the fuel consumption of each technology package. The production costs of component/technology combinations are estimated based on actual cost data, and on valid assumptions gathered from reliable sources. Ultimately, the framework provides visualization and analysis modules that enable users to identify the new system configuration candidates that meet their production cost and fuel economy requirements.
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Authors
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Citation
Lee, H., Lee, B., Kim, S., Kim, N. et al., "Model-Based Fuel Economy Technology Assessment," SAE Technical Paper 2017-01-0532, 2017, https://doi.org/10.4271/2017-01-0532.Data Sets - Support Documents
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References
- Argonne National Laboratory Autonomie http://www.autonomie.net 2011
- Nelson , P. , Amine , K. , Rousseau , A. , and Yomoto , H. Advanced Lithium-Ion Batteries for Plug-in Hybrid-Electric Vehicles Presented at the 23rd International Electric Vehicle Symposium (EVS23) Anaheim, CA 2007
- Karbowski , D. , Haliburton , C. , and Rousseau , A. Impact of Component Size on Plug-In Hybrid Vehicle Energy Consumption Using Global Optimization Presented at the 23rd sInternational Electric Vehicle Symposium (EVS23) Anaheim, CA 2007
- Fellah , M. , Singh , G. , Rousseau , A. , Pagerit , S. Impact of Real-World Drive Cycles on PHEV Battery Requirements SAE Technical Paper 2009-01-1383 2009 10.4271/2009-01-1383
- Rousseau , A. , Sharer , P. , and Ahluwalia , R. Energy Storage Requirements for Fuel Cell Vehicles SAE Technical Paper 2004-01-1302 2004 10.4271/2004-01-1302
- Karbowski , D. , Kwon , J. , Kim , N. , and Rousseau , A. Instantaneously Optimized Controller for a Multimode Hybrid Electric Vehicle SAE Technical Paper 2010-01-0816 2010 10.4271/2010-01-0816
- Sharer , P. , Rousseau , A. , Karbowski , D. , and Pagerit , S. Plug-in Hybrid Electric Vehicle Control Strategy: Comparison between EV and Charge-Depleting Options SAE Technical Paper 2008-01-0460 2008 10.4271/2008-01-0460
- Rousseau , A. , Pagerit , S. , and Gao , D.W. Plug-in Hybrid Electric Vehicle Control Strategy Parameter Optimization Journal of Asian Electric Vehicles 6 2 1125 1133 2008
- Rousseau , A. , Sharer , P. , and Pagerit , S. Trade-off between Fuel Economy and Cost for Advanced Vehicle Configurations Presented at the 20th International Electric Vehicle Symposium (EVS20) Monaco April, 2005
- Moawad , A. , Balaprakash , P. , Rousseau , A. , and Wild , S. Novel Large Scale Simulation Process to Support Dot’s Cafe Modeling System International Journal of Automotive Technology 17 6 1067 1077 2016
- U.S. Department of Transportation/National Highway Traffic Safety Administration Vehicle Modeling for Use in The Cafe Model Process Description And Modeling Assumptions 2014 https://www.nhtsa.gov/corporate-average-fuel-economy/light-duty-cafe-midterm-evaluation
- Elgowainy , A. , Burnham , A. , Wang , M. , Molburg , J. Well-To-Wheels Energy Use and Greenhouse Gas Emissions of Plug-in Hybrid Electric Vehicles SAE Int. J. Fuels Lubr. 2 1 627 644 2009 10.4271/2009-01-1309
- Kim , N. , Carlson , R. , Jehlik , F. , and Rousseau , A. Tahoe HEV Model Development in PSAT SAE Technical Paper 2009-01-1307 2009 10.4271/2009-01-1307
- Rousseau , A. , Kwon , J. , Sharer , P. , Pagerit , S. Integrating Data, Performing Quality Assurance, and Validating the Vehicle Model for the 2004 Prius Using PSAT SAE Technical Paper 2006-01-0667 2006 10.4271/2006-01-0667
- Kim , N. , Rousseau , A. , and Lohse-Busch , H. Advanced Automatic Transmission Model Validation Using Dynamometer Test Data SAE Technical Paper 2014-01-1778 2014 10.4271/2014-01-1778
- Lee , D. , Rousseau , A. , and Rask , E. Development and Validation of the Ford Focus Battery Electric Vehicle Model SAE Technical Paper 2014-01-1809 2014 10.4271/2014-01-1809
- Kim , N. , Jeong , J. , Rousseau , A. , and Lohse-Busch , H. Control Analysis and Thermal Model Development for Plug-In Hybrid Electric Vehicles SAE Int. J. Alt. Power. 4 2 260 268 2015 10.4271/2015-01-1157
- Lemazurier , L. , Shidore , N. , Kim , N. , Moawad , A. Impact of Advanced Engine and Powertrain Technologies on Engine Operation and Fuel Consumption for Future Vehicles SAE Technical Paper 2015-01-0978 2015 10.4271/2015-01-0978
- Kim , N. , Kim , N. , and Rousseau , A. Thermal Model Developments for Electrified Vehicles Presented at the 28th International Electric Vehicle Symposium (EVS28) Korea May, 2015
- U.S. Environmental Protection Agency/National Highway Traffic Safety Administration Cost and Effectiveness Estimates of Technologies Used to Reduce Light-Duty Vehicle Carbon Dioxide Emissions EPA Staff Technical Report EPA420-F-08-008 March 2008 https://nepis.epa.gov/Exe/ZyPDF.cgi/P10025VN.PDF?Dockey=P10025VN.PDF