The Road Friction Coefficient Estimation Based on Extended Kalman Filter

Author

Zhu Tianjun ; Zong Changfu

Author_Institution

Coll. of Mech. & Electron. Eng., Hebei Univ. of Eng., Handan

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

4

Abstract

The road-tire friction coefficient has important role in vehicle dynamic control systems like adaptive cruise control system (ACC), vehicle dynamic control (VDC), direct yaw-torque control system (DYC) etc. This paper introduces a new predictive methodology for the estimation of road-tire friction coefficient by using Dugoff tire model and the extended Kalman filter. 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.

Keywords

Kalman filters; estimation theory; road traffic; traffic engineering computing; tyres; vehicle dynamics; Dugoff tire model; extended Kalman filter estimation; predictive methodology; road-tire friction coefficient; software CarSim7.0; vehicle dynamic control system; Automotive engineering; Control system synthesis; Control systems; Equations; Friction; Road vehicles; State estimation; Tires; Vehicle dynamics; Vehicle safety;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5073206

Filename

5073206