JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2018, Vol. 48 ›› Issue (1): 96-103.doi: 10.6040/j.issn.1672-3961.0.2017.081

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Self-adaption acceleration slip regulation control of four-wheel independently-driving electric vehicle

ZHANG Bohan, CHEN Zheming*, FU Jianghua, CHEN Bao   

  1. School of Vehicle Engineering, Chongqing University of Technology, Chongqing 401320, China
  • Received:2017-03-02 Online:2018-02-20 Published:2017-03-02

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Abstract: There are many problems in the research of the acceleration slip regulation control, such as the single modeling method, the ideal slip rate of the controller can not match the changing road conditions, and the influence of the axle load transfer on the wheel adhesion performance is not taken into account. In order to solve the above problems, the vehicle dynamics model based on Carsim and Matlab/Simulink co-simulation was established. A self-adaption acceleration slip regulation controller based on double fuzzy algorithm was designed. The pavement recognition module could be added to the controller to estimate the changeable pavement attachment condition. Based on the estimation results, the optimal target slipping rate could be selected to realize the self-adaptive control. The acceleration slip regulation control algorithm of front-rear axle drive was designed separately to realize the differential control of front and rear axles. According to the different working conditions, the vehicle model and the acceleration slip regulation controller were verified.

Key words: road identification, co-simulation, acceleration slip regulation, fuzzy control, self-adaption

CLC Number: 

  • U461.6
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