Title :
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
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;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.38
