吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (4): 1036-1042.doi: 10.13229/j.cnki.jdxbgxb201504002

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Fuzzy sliding mode traction control based on road friction coefficient estimation

ZHAO Jian1, ZHANG Jin1, ZHU Bing1, 2   

  1. 1.State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
    2.Key Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China
  • Received:2014-03-24 Online:2015-07-01 Published:2015-07-01

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Abstract: In order to meet the requirements of variable road conditions for vehicle traction control system, a road identification algorithm was proposed based on combined longitudinal and lateral brushed tire model. First, the tire-road forces were estimated by the Kalman filtering method; the road friction coefficient on each wheel was estimated using least square method, and its optimal slip ratio was obtained subsequently. Then, a fuzzy sliding mode based on traction controller was designed using the identified road information. Finally, the algorithm was verified using Matlab/Simulink and CarSim co-simulation. Results show that the proposed algorithm can identify the variation of road conditions and regulate the slip ratios of the driving wheels quickly and accurately, thus, the vehicle driving pe4rformance can be effectively improved.

Key words: vehicle engineering, road friction coefficient estimation, traction control, Kalman filtering, least square method, fuzzy sliding mode control

CLC Number: 

  • U461.2
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