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

Author

Sun Zhen-jun ; Zhu Tian-jun ; Zheng Hong-yan

Author_Institution

Hebei Eng. Univ., Handan

Volume

2

fYear

2008

fDate

20-22 Oct. 2008

Firstpage

418

Lastpage

422

Abstract

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.

Keywords

Kalman filters; friction; mechanical engineering computing; road traffic; road vehicles; CarSim7.0 software; anti-lock braking system; extended Kalman filter theory; high quality estimation; road friction coefficient estimation algorithm; road-tire friction coefficient; simulation verification; traction control system; vehicle control system; Automotive engineering; Control system synthesis; Equations; Friction; Intelligent vehicles; Road vehicles; State estimation; Tires; Vehicle safety; Wheels; Estimation algor; Extended Kalman Filter; Road Friction Coefficient;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Hunan

Print_ISBN

978-0-7695-3357-5

Type

conf

DOI

10.1109/ICICTA.2008.38

Filename

4659796