Citation

Jin LQ, Ling M, Yue W. PLoS One 2017; 12(6): e0179526.

Affiliation

State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China.

Copyright

(Copyright © 2017, Public Library of Science)

DOI

10.1371/journal.pone.0179526

PMID

28662053

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).

Language: en