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Impact of control strategy on battery degradation for a plug-in hybrid electric city bus in China

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  • Cai, Y.
  • Yang, F.
  • Ouyang, MG.

Abstract

Series-parallel Plug-In Hybrid Electric Vehicle combine the advantages of series and parallel configurations and have been used in China. However, battery degradation in series-parallel Plug-In Hybrid Electric city bus applications still need to be investigated. In this paper, a simulation model is developed to simulate a series-parallel Plug-In Hybrid Electric city bus. The simulation model was validated experimentally and shown to agree well with the real system. Additionally, a semi-empirical battery life model was also developed and validated to estimate the battery degradation. According to the simulation model and battery life model, the impact of different control strategies for series-parallel Plug-In Hybrid Electric city buses on battery degradation was investigated. The simulation results showed that series-parallel Plug-In Hybrid Electric city buses with the Maximum Efficiency Control Strategy for series mode and Power Follower Control Strategy for parallel mode reduced battery degradation significantly.

Suggested Citation

  • Cai, Y. & Yang, F. & Ouyang, MG., 2016. "Impact of control strategy on battery degradation for a plug-in hybrid electric city bus in China," Energy, Elsevier, vol. 116(P1), pages 1020-1030.
    • Handle: RePEc:eee:energy:v:116:y:2016:i:p1:p:1020-1030
    DOI: 10.1016/j.energy.2016.09.137
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    References listed on IDEAS

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    Cited by:

    1. Lin, Boqiang & Tan, Ruipeng, 2017. "Are people willing to pay more for new energy bus fares?," Energy, Elsevier, vol. 130(C), pages 365-372.
    2. Valentini, M.P. & Conti, V. & Orchi, S., 2022. "BEST: A software to verify the feasibility of urban bus line electrification," Research in Transportation Economics, Elsevier, vol. 92(C).
    3. Zhou, Yu & Wang, Hua & Wang, Yun & Yu, Bin & Tang, Tianpei, 2024. "Charging facility planning and scheduling problems for battery electric bus systems: A comprehensive review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    4. Wu, Zhou & Ling, Rui & Tang, Ruoli, 2017. "Dynamic battery equalization with energy and time efficiency for electric vehicles," Energy, Elsevier, vol. 141(C), pages 937-948.
    5. Kanbur, Baris Burak & Kumtepeli, Volkan & Duan, Fei, 2020. "Thermal performance prediction of the battery surface via dynamic mode decomposition," Energy, Elsevier, vol. 201(C).

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