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Optimal energy management strategy for hybrid electric vehicles with consideration of battery life

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2017, Doctor of Philosophy, Ohio State University, Mechanical Engineering.
The dissertation offers a systematic analysis on the interdependency between fuel economy and battery capacity degradation in hybrid electric vehicles. Optimal control approaches including Dynamic Programming and Pontryagin's Minimum Principle are used to develop energy management strategies, which are able to optimally tradeoff fuel consumption and battery aging. Based on the optimal solutions, a real-time implementable battery-aging-conscious Adaptive Equivalent Consumption Management Strategy is proposed, which is able to achieve performance that is comparable to optimal results. In addition, an optimal control based charging strategy for plug-in hybrid electric vehicles and battery electric vehicles is developed, which minimizes battery capacity degradation incurred during charging by optimizing the charging current profile. Combining a generic control-oriented vehicle cabin thermal model with the battery aging model, the benefit of this strategy in terms of decreasing battery aging is significant, when compared with the existing strategies, such as the widely accepted constant current constant voltage (CC-CV) protocol. Thus this dissertation presents a complete set of optimal control solutions related to xEVs with consideration of battery aging.
Giorgio Rizzoni (Advisor)
233 p.

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Citations

  • Tang, L. (2017). Optimal energy management strategy for hybrid electric vehicles with consideration of battery life [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492508261913757

    APA Style (7th edition)

  • Tang, Li. Optimal energy management strategy for hybrid electric vehicles with consideration of battery life. 2017. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1492508261913757.

    MLA Style (8th edition)

  • Tang, Li. "Optimal energy management strategy for hybrid electric vehicles with consideration of battery life." Doctoral dissertation, Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492508261913757

    Chicago Manual of Style (17th edition)