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Yaw Stability Research of the Distributed Drive Electric Bus by Adaptive Fuzzy Sliding Mode Control

Author

Listed:
  • Jiming Lin

    (College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China)

  • Teng Zou

    (College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China)

  • Feng Zhang

    (College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China)

  • Yong Zhang

    (College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China)

Abstract

The direct yaw moment control can effectively enhance the yaw stability of the vehicle under extreme conditions, which has become one of the essential technologies for the distributed driving electric bus. Due to the features of a large mass and high center of gravity of the bus, lateral instability is more likely to occur under extreme driving conditions. To reduce the uncertainty and interference in the yaw movement process of the bus, this paper targets the instability caused by the coupling problem between the sideslip angle and yaw rate. An adaptive fuzzy sliding mode control is proposed to execute direct yaw moment control. The weight coefficient of the sideslip angle and the yaw rate is adjusted via fuzzy control in real time. The optimal direct yaw moment is finally obtained. A distribution method based on the vertical load proportion is adopted for the allocation of four motors’ torque. Under three typical working conditions, a joint simulation test was carried out. The simulation results demonstrate that the raised method decreases the amplitude of the sideslip angle by 20.90%, 12.75%, and 23.67% and the yaw rate is 8.62%, 6.89%, and 9.28%, respectively. The chattering and sudden changes in the additional yaw moment are also lessened. The control strategy can realize the control target, which effectively strengthens the yaw stability of the bus.

Suggested Citation

  • Jiming Lin & Teng Zou & Feng Zhang & Yong Zhang, 2022. "Yaw Stability Research of the Distributed Drive Electric Bus by Adaptive Fuzzy Sliding Mode Control," Energies, MDPI, vol. 15(4), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1280-:d:745977
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    References listed on IDEAS

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    1. Peikun Sun & Annika Stensson Trigell & Lars Drugge & Jenny Jerrelind, 2020. "Energy-Efficient Direct Yaw Moment Control for In-Wheel Motor Electric Vehicles Utilising Motor Efficiency Maps," Energies, MDPI, vol. 13(3), pages 1-25, January.
    2. Ke Shi & Xiaofang Yuan & Guoming Huang & Qian He, 2018. "MPC-based compensation control system for the yaw stability of distributed drive electric vehicle," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(8), pages 1795-1808, June.
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    Cited by:

    1. Yan Yang & Yeqin Wang & Weixing Zhang & Zhenghao Li & Rui Liang, 2022. "Design of Adaptive Fuzzy Sliding-Mode Control for High-Performance Islanded Inverter in Micro-Grid," Energies, MDPI, vol. 15(23), pages 1-25, December.
    2. Chenning Wang & Ren He & Zhecheng Jing & Shijun Chen, 2022. "Coordinated Path Following Control of 4WID-EV Based on Backstepping and Model Predictive Control," Energies, MDPI, vol. 15(15), pages 1-16, August.

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