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Energy Management Strategy of a Novel Electric Dual-Motor Transmission for Heavy Commercial Vehicles Based on APSO Algorithm

Author

Listed:
  • Jiajia Liang

    (School of Transportation and Science Engineering, Beihang University, Beijing 102206, China
    Ningbo Institute of Technology, Beihang University, Ningbo 315832, China
    Transmission Department, eKontrol Co., Ltd., Suzhou 215211, China)

  • Xiangyang Xu

    (School of Transportation and Science Engineering, Beihang University, Beijing 102206, China
    Ningbo Institute of Technology, Beihang University, Ningbo 315832, China)

  • Peng Dong

    (School of Transportation and Science Engineering, Beihang University, Beijing 102206, China
    Ningbo Institute of Technology, Beihang University, Ningbo 315832, China)

  • Tao Feng

    (Transmission Department, eKontrol Co., Ltd., Suzhou 215211, China)

  • Wei Guo

    (Ningbo Institute of Technology, Beihang University, Ningbo 315832, China)

  • Shuhan Wang

    (School of Transportation and Science Engineering, Beihang University, Beijing 102206, China
    Ningbo Institute of Technology, Beihang University, Ningbo 315832, China)

Abstract

With the development of electric vehicles, dual-motor transmission has become a potential alternative for automated manual transmission (AMT) due to the solution of power interruption and the improvement of energy efficiency. In this paper, a novel electric dual-motor transmission (eDMTP) for heavy commercial vehicles is proposed. Then, a 4-layer energy management strategy is developed to optimize dynamics performance and energy efficiency. Subsequently, a real vehicle operation is performed to validate the control strategy and the performance of eDMTP. The results demonstrate that the operating points of the two motors are both in and around the high-efficiency area under normal mode. This research lays the foundation for the development of a pure electric vehicle transmission system.

Suggested Citation

  • Jiajia Liang & Xiangyang Xu & Peng Dong & Tao Feng & Wei Guo & Shuhan Wang, 2022. "Energy Management Strategy of a Novel Electric Dual-Motor Transmission for Heavy Commercial Vehicles Based on APSO Algorithm," Sustainability, MDPI, vol. 14(3), pages 1-12, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1163-:d:729269
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    Citations

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    Cited by:

    1. Louback, Eduardo & Biswas, Atriya & Machado, Fabricio & Emadi, Ali, 2024. "A review of the design process of energy management systems for dual-motor battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
    2. Tian, Yang & Zhang, Yahui & Li, Hongmin & Gao, Jinwu & Swen, Austin & Wen, Guilin, 2023. "Optimal sizing and energy management of a novel dual-motor powertrain for electric vehicles," Energy, Elsevier, vol. 275(C).

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