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

PLoS One. 2017 Jun 29;12(6):e0179526. doi: 10.1371/journal.pone.0179526. eCollection 2017.

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).

MeSH terms

  • Algorithms
  • Friction*
  • Motor Vehicles*

Grants and funding

Professor Li-Qiang Jin received support from China Postdoctoral Science Foundation (2013M540248). The funder had a role in study design, analysis and decision to publish the manuscript.