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Research on Road Friction Coefficient Estimation Algorithm Based on Extended Kalman Filter

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3 Author(s)
Sun Zhen-jun ; Hebei Eng. Univ., Handan ; Zhu Tian-jun ; Zheng Hong-yan

High quality estimation of road/tire friction coefficient has important role in vehicle control system like anti-lock braking system (ABS), traction control system etc. For this purpose the paper researches on the road/tire friction coefficient estimation algorithm based on the extended Kalman filter theory. At the same time, a simulation verification of the road/tire coefficient estimation has been made using the software CarSim7.0. The result shows that the EKF estimation accuracy of road/tire friction coefficient is satisfied very well. It provides a new method for the vehicle road/tire friction coefficient estimation.

Published in:

Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on  (Volume:2 )

Date of Conference:

20-22 Oct. 2008