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Adaptive Stability Control Based on Sliding Model Control for BEVs Driven by In-Wheel Motors

Author

Listed:
  • Pingshu Ge

    (College of Mechanical & Electronic Engineering, Dalian Minzu University, Dalian 116600, China)

  • Lie Guo

    (School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China
    Ningbo Institute, Dalian University of Technology, Ningbo 315016, China)

  • Jindun Feng

    (School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China)

  • Xiaoyue Zhou

    (School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China)

Abstract

High-speed and complex road conditions make it easy for vehicles to reach limit conditions, increasing the risk of instability. Consequently, there is an urgent need to solve the problem of vehicle stability and safety. In this paper, adaptive stability control is studied in BEVs driven by in-wheel motors. Based on the sliding model algorithm, a joint weighting control of the yaw rate and sideslip angle is carried out, and a weight coefficient is designed using a fuzzy algorithm to realize adaptive direct yaw moment control. Next, optimal torque distribution is designed with the minimum sum of four tire load rates as the optimization objective. Then, combined with the road adhesion coefficient and the maximum motor torque constraint, the torque distribution problem is transformed into a functionally optimal solution problem with constraints. The simulation results show that the direct yaw moment controller based on the adaptive sliding mode algorithm has a good control effect on the yaw rate and sideslip angle, and it can effectively improve vehicle adaptive stability control. In the optimal torque distributor based on road surface recognition, the estimated error of road adhesion is within 10%, and has a greater margin to deal with vehicle instability, which can effectively improve vehicle adaptive stability control.

Suggested Citation

  • Pingshu Ge & Lie Guo & Jindun Feng & Xiaoyue Zhou, 2023. "Adaptive Stability Control Based on Sliding Model Control for BEVs Driven by In-Wheel Motors," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8660-:d:1156834
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    Citations

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    Cited by:

    1. Jie Hu & Kefan Zhang & Pei Zhang & Fuwu Yan, 2024. "Direct Yaw Moment Control for Distributed Drive Electric Vehicles Based on Hierarchical Optimization Control Framework," Mathematics, MDPI, vol. 12(11), pages 1-23, May.
    2. Xiang Fu & Jiaqi Wan & Daoyuan Liu & Song Huang & Sen Wu & Zexuan Liu & Jijie Wang & Qianfeng Ruan & Tianqi Yang, 2024. "Synthetic Optimization of Trafficability and Roll Stability for Off-Road Vehicles Based on Wheel-Hub Drive Motors and Semi-Active Suspension," Mathematics, MDPI, vol. 12(12), pages 1-29, June.

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