Title :
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
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;
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
DOI :
10.1109/IWISA.2009.5073206
