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Tire-road friction estimation and traction control strategy for motorized electric vehicle

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  • Li-Qiang Jin
  • Mingze Ling
  • Weiqiang Yue

Abstract

In this paper, an optimal longitudinal slip ratio system for real-time identification of electric vehicle (EV) with motored wheels is proposed based on the adhesion between tire and road surface. First and foremost, the optimal longitudinal slip rate torque control can be identified in real time by calculating the derivative and slip rate of the adhesion coefficient. Secondly, the vehicle speed estimation method is also brought. Thirdly, an ideal vehicle simulation model is proposed to verify the algorithm with simulation, and we find that the slip ratio corresponds to the detection of the adhesion limit in real time. Finally, the proposed strategy is applied to traction control system (TCS). The results showed that the method can effectively identify the state of wheel and calculate the optimal slip ratio without wheel speed sensor; in the meantime, it can improve the accelerated stability of electric vehicle with traction control system (TCS).

Suggested Citation

  • Li-Qiang Jin & Mingze Ling & Weiqiang Yue, 2017. "Tire-road friction estimation and traction control strategy for motorized electric vehicle," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-18, June.
    • Handle: RePEc:plo:pone00:0179526
    DOI: 10.1371/journal.pone.0179526
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    References listed on IDEAS

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    1. Hu, Xiaosong & Zou, Yuan & Yang, Yalian, 2016. "Greener plug-in hybrid electric vehicles incorporating renewable energy and rapid system optimization," Energy, Elsevier, vol. 111(C), pages 971-980.
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    Cited by:

    1. 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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