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

摘要：

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.

作者: Sun Zhen-jun Zhu Tian-jun Zheng Hong-yan

作者单位: Hebei engineering University, P.R.China, Handan, 056021 Hebei engineering University, P.R.China, Handan, 056021 State Key Laboratory of Automobile Dynamics

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 1709-1713

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）