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New TA Index-Based Rollover Prevention System for Electric Vehicles

Author

Listed:
  • Xiang Liu

    (National Engineering Laboratory for Automotive Electronic Control Technology, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Min Xu

    (National Engineering Laboratory for Automotive Electronic Control Technology, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Mian Li

    (National Engineering Laboratory for Automotive Electronic Control Technology, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    University of Michigan—Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

In addition to clean transportation and energy savings, electric vehicles can inherently offer better performance in the field of active safety and dynamic stability control, thanks to the superior fast and accurate control characteristics of electric motors. With the novel wheel status parameter TA for electric vehicles proposed by the authors in an earlier publication, a new TA index (TAI)-based rollover prevention method is presented in this paper to improve the driving performance of EVs equipped with in-wheel motors. A three-level electric vehicle control structure is used to analyze the effective control steps for rollover prevention with the newly proposed TAI method. The simulation is conducted using an in-house developed electric vehicle dynamic model. The simulation results prove the feasibility of using TAI to detect rollover. The experiment uses an electric vehicle equipped with four in-wheel motors in the authors’ research lab. The vehicle parameter and performance data are imported to CarSim, which is industrial standard vehicle dynamic analysis software to run the rollover test. The experimental results also demonstrate that TAI is an effective method of rollover prevention.

Suggested Citation

  • Xiang Liu & Min Xu & Mian Li, 2015. "New TA Index-Based Rollover Prevention System for Electric Vehicles," Energies, MDPI, vol. 8(3), pages 1-24, March.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:3:p:2008-2031:d:46775
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    References listed on IDEAS

    as
    1. Guoqing Xu & Weimin Li & Kun Xu & Zhibin Song, 2011. "An Intelligent Regenerative Braking Strategy for Electric Vehicles," Energies, MDPI, vol. 4(9), pages 1-17, September.
    2. Zhou, Guanghui & Ou, Xunmin & Zhang, Xiliang, 2013. "Development of electric vehicles use in China: A study from the perspective of life-cycle energy consumption and greenhouse gas emissions," Energy Policy, Elsevier, vol. 59(C), pages 875-884.
    3. Duo Zhang & Guohai Liu & Wenxiang Zhao & Penghu Miao & Yan Jiang & Huawei Zhou, 2014. "A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric Vehicle," Energies, MDPI, vol. 7(7), pages 1-15, July.
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