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Powertrain Sizing and Energy Usage Adaptation Strategy for Plug-in Hybrid Electric Vehicles

Chanda, Soumendu
http://rave.ohiolink.edu/etdc/view?acc_num=akron1208385855

Abstract Details

2008, Master of Science, University of Akron, Electrical Engineering.
An energy usage adaptation (EUA) strategy to manage the charge/discharge profile of the energy storage system for plug-in hybrid vehicles is presented in this thesis. The objective of the EUA strategy is to bring the stored energy to a low level at the end of the daily drive cycle, and to limit the number of deep discharge cycles. The EUA algorithm first predicts the energy usage for a given day based on historical usage data. The predicted energy is then compared with the actual energy used and the battery energy available to set the SOC limits in the energy management algorithm. The EUA strategy has been tuned and tested using simulations of both a series and a series-parallel plug-in hybrid vehicle (model) with vehicle control algorithms developed for the purpose. The strategy is shown to improve the fuel economy of the vehicle and to reduce the cost per mile of operation by efficiently using the off board supplied energy. It also helps to extend the life of the battery by limiting the number of deep discharge cycles to no more than one per day. A well-to-wheel analysis of the designed plug-in hybrid is also done using the standard GREET model and through vehicle simulation to investigate the overall efficiency of plug-in hybrid vehicles. The well-to-wheel efficiency of the plug-in hybrids is found to be lower than those of the conventional gasoline and electric vehicles.
Iqbal Husain, Dr. (Advisor)
Robert J. Veillette, Dr. (Committee Member)
Malik Elbuluk, Dr. (Committee Member)
170 p.
Electrical Engineering
PLUG-IN HYBRID; ENERGY USAGE; drive cycle; hybrid vehicles; predicted energy

Recommended Citations

Citations

  • Chanda, S. (2008). Powertrain Sizing and Energy Usage Adaptation Strategy for Plug-in Hybrid Electric Vehicles [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1208385855

    APA Style (7th edition)

  • Chanda, Soumendu. Powertrain Sizing and Energy Usage Adaptation Strategy for Plug-in Hybrid Electric Vehicles. 2008. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1208385855.

    MLA Style (8th edition)

  • Chanda, Soumendu. "Powertrain Sizing and Energy Usage Adaptation Strategy for Plug-in Hybrid Electric Vehicles." Master's thesis, University of Akron, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1208385855

    Chicago Manual of Style (17th edition)

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© 2008, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.