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

机译:电动汽车的轮胎-道路摩擦估计和牵引力控制策略

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摘要

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).
机译:本文基于轮胎与路面之间的附着力,提出了一种最优的纵向滑移率系统,用于实时识别带电动轮的电动汽车。首先,通过计算附着系数的导数和滑移率,可以实时确定最佳的纵向滑移率转矩控制。其次,还提出了车速估计方法。第三,提出了理想的车辆仿真模型,通过仿真验证了算法的正确性,发现滑移率与实时检测附着力极限相对应。最后,将所提出的策略应用于牵引力控制系统(TCS)。结果表明,该方法可以有效地识别车轮状态,无需轮速传感器即可计算出最佳滑移率。同时,通过牵引力控制系统(TCS)可以提高电动汽车的加速稳定性。

著录项

  • 期刊名称 other
  • 作者单位
  • 年(卷),期 -1(12),6
  • 年度 -1
  • 页码 e0179526
  • 总页数 18
  • 原文格式 PDF
  • 正文语种
  • 中图分类
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  • 入库时间 2022-08-21 11:09:34

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