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Research on Mode Transition Control of Power-Split Hybrid Electric Vehicle Based on Fixed Time

Author

Listed:
  • Hongdang Zhang

    (Changzhou Vocational Institute of Mechatronic Technology, College of Transportation Engineering, Changzhou 213164, China)

  • Hongtu Yang

    (Changzhou Vocational Institute of Mechatronic Technology, College of Transportation Engineering, Changzhou 213164, China
    School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Fengjiao Zhang

    (Changzhou Vocational Institute of Mechatronic Technology, College of Transportation Engineering, Changzhou 213164, China)

  • Xuhui Liao

    (Changzhou Vocational Institute of Mechatronic Technology, College of Transportation Engineering, Changzhou 213164, China)

  • Yanyan Zuo

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

In this paper, we address the problem of jerk and disturbance suppression during mode transitions in power-split hybrid electric vehicles. First, a transient switching model of the PS-HEV is developed. Next, the mechanisms underlying shock generation and the influence of disturbances on transition smoothness are analyzed. Based on this, a fixed-time dynamic coordinated control strategy is proposed, comprising a novel sliding mode control law and a fixed-time extended state observer. The proposed fixed-time sliding mode control law is independent of initial state values and ensures superior convergence performance. Meanwhile, the fixed-time extended state observer enables real-time estimation of external disturbances, thereby reducing the conservatism of the control law. Finally, simulation and hardware-in-the-loop results demonstrate that the proposed strategy markedly improves mode transition performance under various disturbance scenarios. This work provides a new perspective on hybrid mode transition control and effectively enhances transition smoothness.

Suggested Citation

  • Hongdang Zhang & Hongtu Yang & Fengjiao Zhang & Xuhui Liao & Yanyan Zuo, 2025. "Research on Mode Transition Control of Power-Split Hybrid Electric Vehicle Based on Fixed Time," Energies, MDPI, vol. 18(16), pages 1-23, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:16:p:4438-:d:1728774
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    References listed on IDEAS

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    1. An, Sihai & Qiu, Jing & Lin, Jiafeng & Yao, Zongyu & Liang, Qijun & Lu, Xin, 2025. "Planning of a multi-agent mobile robot-based adaptive charging network for enhancing power system resilience under extreme conditions," Applied Energy, Elsevier, vol. 395(C).
    2. Huang, Yanjun & Wang, Hong & Khajepour, Amir & Li, Bin & Ji, Jie & Zhao, Kegang & Hu, Chuan, 2018. "A review of power management strategies and component sizing methods for hybrid vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 132-144.
    3. Fengqi Zhang & Lihua Wang & Serdar Coskun & Hui Pang & Yahui Cui & Junqiang Xi, 2020. "Energy Management Strategies for Hybrid Electric Vehicles: Review, Classification, Comparison, and Outlook," Energies, MDPI, vol. 13(13), pages 1-35, June.
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