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A review of architectures and control strategies of dual-motor coupling powertrain systems for battery electric vehicles

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  • Wang, Zhenzhen
  • Zhou, Jun
  • Rizzoni, Giorgio

Abstract

With more and more stringent regulations related to emissions, the increasing requirement of energy conservation, and the growing concern for global warming, battery electric vehicles are gaining increasing popularity in the market and that may eventually supplant their counterparts, the internal combustion engine and hybrid electric vehicles. Currently, one can classify battery electric vehicles based on their propulsion type, namely: single-motor drive and multi-motor drive. In this paper, a review of architectures and control strategies for the dual-motor coupling propulsion system used in battery electric vehicles is presented. The paper describes different architectures, reviews the means of mechanical coupling and transmission, electromechanical configurations, and summarizes approaches to the control of this emerging class of battery electric vehicles. A comparison of the advantages and disadvantages of dual-motor coupling propulsion system technology for battery electric vehicles is highlighted, and research challenges and prospects are also discussed. This paper intends to serve as a state-of-the-art reference for researchers in the field of dual-motor coupling propulsion systems used in battery electric vehicle development, control, and optimization.

Suggested Citation

  • Wang, Zhenzhen & Zhou, Jun & Rizzoni, Giorgio, 2022. "A review of architectures and control strategies of dual-motor coupling powertrain systems for battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    • Handle: RePEc:eee:rensus:v:162:y:2022:i:c:s1364032122003616
    DOI: 10.1016/j.rser.2022.112455
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    References listed on IDEAS

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    Cited by:

    1. Chi T. P. Nguyen & Bảo-Huy Nguyễn & Minh C. Ta & João Pedro F. Trovão, 2023. "Dual-Motor Dual-Source High Performance EV: A Comprehensive Review," Energies, MDPI, vol. 16(20), pages 1-28, October.
    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).
    3. Yu, Xiao & Lin, Cheng & Tian, Yu & Zhao, Mingjie & Liu, Huimin & Xie, Peng & Zhang, JunZhi, 2023. "Real-time and hierarchical energy management-control framework for electric vehicles with dual-motor powertrain system," Energy, Elsevier, vol. 272(C).
    4. Zhou, Xingyu & Sun, Chao & Sun, Fengchun & Zhang, Chuntao, 2023. "Commuting-pattern-oriented stochastic optimization of electric powertrains for revealing contributions of topology modifications to the powertrain energy efficiency," Applied Energy, Elsevier, vol. 344(C).

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