Title :
Maximum Tire Road Friction Estimation Based on Modified Dugoff Tire Model
Author :
Long Chen ; Mingyuan Bian ; Yugong Luo ; Keqiang Li
Author_Institution :
State Key Lab. of Automotive Safety & Energy, Tsinghua Univ., Beijing, China
Abstract :
Estimation of the tire-road friction using the signal of on-board sensors is very important for the vehicle dynamic control systems. This paper presented a tire -- Croad friction coefficient estimation algorithm based on a modified Dugoff model. The proposed algorithm first determined the tire slip ratio and the instantaneous longitudinal friction coefficient using vehicle and wheel dynamics parameters. Then, the friction coefficient was estimated through the modified Dugoff model with subsection method and converse solution method. The effectiveness and performance of the algorithm were demonstrated through vehicle dynamics simulations on different road surface conditions.
Keywords :
road vehicles; sensors; signal processing; stick-slip; time-varying systems; tyres; vehicle dynamics; instantaneous longitudinal friction coefficient; maximum tire-road friction coefficient estimation algorithm; modified Dugoff tire model; on-board sensor signal; road surface conditions; tire slip ratio; vehicle dynamic control systems; vehicle dynamics parameters; vehicle dynamics simulations; wheel dynamics parameters; Estimation; Friction; Mathematical model; Roads; Tires; Vehicles; Wheels; Converse Solution Method; Dugoff Tire Model; Friction coefficient; Subsection Method;
Conference_Titel :
Mechanical and Automation Engineering (MAEE), 2013 International Conference on
Conference_Location :
Jiujang
DOI :
10.1109/MAEE.2013.24