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Modelling and experimental validation of an EV torque distribution strategy towards active safety and energy efficiency

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  • Wei, Hongqian
  • Ai, Qiang
  • Zhao, Wenqiang
  • Zhang, Youtong

Abstract

Electric vehicles (EVs) have promisingly contributed to the decarbonization of the transportation sector. Torque distribution in energy management is vital to enhance EV safety and efficiency; however, its nonlinearity and real-time executability have not been extensively researched. This paper proposes an integrated torque distribution strategy that simultaneously considers vehicle security and dynamic power allocation. In the upper active safety layer, the yaw stability control and active front steering control are coupled to maintain vehicle stability. Additionally, a linear time-varying model predictive controller is developed to address the system nonlinearity and online executability problems. In the lower energy distribution layer, the motor efficiency and dynamic tire-slip power are simultaneously optimized to maintain EV energy conservation. Numerical simulations and hardware experiments are conducted in this study. The results demonstrate that the proposed integrated strategy is superior to other typical torque distribution strategies in terms of reducing the risk of emergent accidents. Moreover, the energy consumption of the powertrain is reduced by 13.4% and 14.2% under the steering and straight driving conditions, respectively. Overall, our study further promotes the practical application of EVs in the future automotive market and lays a solid foundation for intelligent torque distribution in autonomous EVs.

Suggested Citation

  • Wei, Hongqian & Ai, Qiang & Zhao, Wenqiang & Zhang, Youtong, 2022. "Modelling and experimental validation of an EV torque distribution strategy towards active safety and energy efficiency," Energy, Elsevier, vol. 239(PA).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pa:s0360544221022015
    DOI: 10.1016/j.energy.2021.121953
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    References listed on IDEAS

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    Cited by:

    1. Chen, Guanpeng & Jiang, Yue & Tang, Yuanjiang & Xu, Xiaojun, 2023. "Pitch stability control of variable wheelbase 6WID unmanned ground vehicle considering tire slip energy loss and energy-saving suspension control," Energy, Elsevier, vol. 264(C).
    2. Fan, Likang & Wang, Yufei & Wei, Hongqian & Zhang, Youtong & Zheng, Pengyu & Huang, Tianyi & Li, Wei, 2022. "A GA-based online real-time optimized energy management strategy for plug-in hybrid electric vehicles," Energy, Elsevier, vol. 241(C).
    3. Sun, Lingyun & Yin, Jiemin & Bilal, Ahmad Raza, 2023. "Green financing and wind power energy generation: Empirical insights from China," Renewable Energy, Elsevier, vol. 206(C), pages 820-827.

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