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Slip Control of Electric Vehicle Based on Tire-Road Friction Coefficient Estimation

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  • Gaojian Cui
  • Jinglei Dou
  • Shaosong Li
  • Xilu Zhao
  • Xiaohui Lu
  • Zhixin Yu

Abstract

The real-time change of tire-road friction coefficient is one of the important factors that influence vehicle safety performance. Besides, the vehicle wheels’ locking up has become an important issue. In order to solve these problems, this paper comes up with a novel slip control of electric vehicle (EV) based on tire-road friction coefficient estimation. First and foremost, a novel method is proposed to estimate the tire-road friction coefficient, and then the reference slip ratio is determined based on the estimation results. Finally, with the reference slip ratio, a slip control based on model predictive control (MPC) is designed to prevent the vehicle wheels from locking up. In this regard, the proposed controller guarantees the optimal braking torque on each wheel by individually controlling the slip ratio of each tire within the stable zone. Theoretical analyses and simulation show that the proposed controller is effective for better braking performance.

Suggested Citation

  • Gaojian Cui & Jinglei Dou & Shaosong Li & Xilu Zhao & Xiaohui Lu & Zhixin Yu, 2017. "Slip Control of Electric Vehicle Based on Tire-Road Friction Coefficient Estimation," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-8, November.
    • Handle: RePEc:hin:jnlmpe:3035124
    DOI: 10.1155/2017/3035124
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    Cited by:

    1. Idris Idris Sunusi & Jun Zhou & Chenyang Sun & Zhenzhen Wang & Jianlei Zhao & Yongshuan Wu, 2021. "Development of Online Adaptive Traction Control for Electric Robotic Tractors," Energies, MDPI, vol. 14(12), pages 1-24, June.

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