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Hybrid electric vehicle powertrain and control system modeling, analysis and design optimization

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dc.contributor.author Zhou, Yuliang Leon
dc.date.accessioned 2011-12-12T19:29:39Z
dc.date.available 2011-12-12T19:29:39Z
dc.date.copyright 2011 en_US
dc.date.issued 2011-12-12
dc.identifier.uri http://hdl.handle.net/1828/3714
dc.description.abstract Today uncertainties of petroleum supply and concerns over global warming call for further advancement of green vehicles with higher energy efficiency and lower green house gas (GHG) emissions. Development of advanced hybrid electric powertrain technology plays an important role in the green vehicle transformation with continuously improved energy efficiency and diversified energy sources. The added complexity of the multi-discipline based, advanced hybrid powertrain systems make traditional powertrain design method obsolete, inefficient, and ineffective. This research follows the industrial leading model-based design approach for hybrid electric vehicle powertrain development and introduces the optimization based methods to address several key design challenges in hybrid electric powertrain and its control system design. Several advanced optimization methods are applied to identify the proper hybrid powertrain architecture and design its control strategies for better energy efficiency. The newly introduced optimization based methods can considerably alleviate the design challenges, avoid unnecessary design iterations, and improve the quality and efficiency of the powertrain design. The proposed method is tested through the design and development of a prototype extended range electric vehicle (EREV), UVic EcoCAR. Developments of this advanced hybrid vehicle provide a valuable platform for verifying the new design method and obtaining feedbacks to guide the fundamental research on new hybrid powertrain design methodology. en_US
dc.language.iso en en_US
dc.subject hybrid electric vehicle en_US
dc.subject wheel-to-well en_US
dc.subject HEV control strategy en_US
dc.subject HEV design optimization en_US
dc.subject UVic EcoCAR competation en_US
dc.title Hybrid electric vehicle powertrain and control system modeling, analysis and design optimization en_US
dc.type Thesis en_US
dc.contributor.supervisor Dong, Zuomin
dc.degree.department Dept. of Mechanical Engineering en_US
dc.degree.level Doctor of Philosophy Ph.D. en_US
dc.rights.temp Available to the World Wide Web en_US
dc.identifier.bibliographicCitation Journals: 1. Wishart, J. D., Zhou, Y. and Dong, Z. (2007). Review, Modelling and Simulation of Two-Mode Hybrid Vehicle Architecture. 9th International Conference on Advanced Vehicle and Tire Technologies (AVTT), Las Vegas, NV, US. 2. Zhou, L. (2009). Multi-objective Control Optimization for Plug-in Hybrid Electric Vehicles With Electrically Variable Transmission. The 5th IEEE Vehicle Power and Propulsion Conference. Dearborn, MI. 3. Zhou, L. (2011). Development of An Instantaneous Powertrain Optimal Control Method for e-CVT based Hybrid Electric Vehicles. 23rd CANCAM Vancouver, BC. 4. Zhou, L. and Dong, Z. (2010). Traction Control Optimization of a AWD PHEV. Canadian Society of Mechanical Enginnering Forum 2010. Victoria, BC. 5. Zhou, L. and Dong, Z. (2011). Hybrid Electric Vehicle Powertrain and Fuel Selection - a Comparison based on Well-to-Wheel Studies. 23rd CANCAM. Vancovuer, BC. 6. Zhou, L. and Dong, Z. (2011). "Performance Study and Comparison of Representative e-CVT Based Hybrid Powertrains." SAE Publication 2011-01-1442. 7. Zhou, L. and Dong, Z. (2011). Performance Study and Comparison of Represetative e-CVT Based Hybird Powertrains. 2011 SAE World Congress. Detroit, MI. 8. Zhou, L., Dong, Z., Sibo, W. and Zhiping, Q. (2008). Design and analysis of a hybrid backup power system for a High-Rise and High-Speed elevator. 2008 IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, MESA 2008, December 12, 2008 - December 15, 2008, Beijing, China, Inst. of Elec. and Elec. Eng. Computer Society. 9. Zhou, L., Wise, J., Bowman, S., Crawford, C. and Dong, Z. (2010). "Design, Modeling, and Hardware Implementation of a Next Generation Extended Range Electric Vehicle." SAE Publication(2010-01-0830). 10. Zhou, L., Younis, A., Wishart, J. and Dong, Z. (2008). Optimization of Control Strategy and Key Components of a Multi-regime Hybrid Vehicle. 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Victoria, BC. 11. Zhou, Y. L. and Dong, Z. (2008). Modeling and simulation of fuel cell elevator backup power systems using advanced vehicle simulator. ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications, presented at - 2007 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2007, September 4, 2007 - September 7, 2007, Las Vegas, NV, United states, American Society of Mechanical Engineers. Publications 1. Zhou, L. and Dong, Z. (2011). "A performance optimizsation-based e-CVT design method and analysis of represetative HEV/PHEV powertrains." International Journal of Electric and Hybrid Vehicles paper accepted September 2011. 2. Wishart, J., Secanell, M. and Zhou, L. (2010). "Hybrid Vehicle Nomenclature and Plug-in Hybrid Vehicle Fuel Economy." International Journal of Electric and Hybrid Vehicles 2(3): 177. 3. Wishart, J., Zhou, Y. L., Dong, Z. and Firmani, F. (2008). "Dynamic modelling and simulation of a multi-regime hybrid vehicle powertrain architecture." International Journal of Electric and Hybrid Vehicles 1(2): 188-219. 4. Wishart, J. D., Zhou, L. Y. and Dong, Z. (2008). "Review of multi-regime hybrid vehicle powertrain architecture." International Journal of Electric and Hybrid Vehicles. 5. Younis, A., Zhou, L. and Dong, Z. (2011). "Application of the New SEUMRE Global Optimization Tool in High Efficiency EV/PHEV/EREV Electric Mode Opeartion." International Journal of Electric and Hybrid Vehicles 3(2): 14. 6. Gu, J., Zhou, Y., Li, G., Dong, Z. and Gan, N. (2011). "Appliaction of Global Optimization Methods in a Plug-in Hybrid Vehicle." Chinese Journal of Mechanical Engineering 22(04): 4. en_US
dc.description.scholarlevel Graduate en_US


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