Title :
Tire-road friction coefficient estimation with vehicle steering
Author :
Sanghyun Hong ; Hedrick, J. Karl
Author_Institution :
Dept. of Mech. Eng., Univ. of California, Berkeley, Berkeley, CA, USA
Abstract :
Lateral tire deflection enables the estimation of the tire-road friction coefficient. Vehicle steering, such as driving on a curved highway, can influence the friction coefficient estimation. This paper demonstrates an algorithm to estimate the tire-road friction coefficient when a vehicle is steering. The relationship between the friction coefficient and the vehicle steering is derived through a tire brush model. The change of lateral velocity inside the tire-road contact patch is used in the algorithm along with the lateral deflection. The models for the lateral deflection and the change of lateral velocity are derived with the tire brush model, a simple tire model, and a parabolic lateral deflection model. Approximated tire slip angles are fed to the estimation algorithm to capture the change of the steering angle. This algorithm is evaluated in experiments with the steering of a test vehicle.
Keywords :
friction; road safety; road vehicles; slip; steering systems; tyres; vehicle dynamics; curved highway; lateral tire deflection; lateral velocity; parabolic lateral deflection model; tire brush model; tire slip angles; tire-road contact patch; tire-road friction coefficient estimation; vehicle steering; Acceleration; Estimation; Force; Friction; Tires; Vehicles; Wheels;
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2013 IEEE
Conference_Location :
Gold Coast, QLD
Print_ISBN :
978-1-4673-2754-1
DOI :
10.1109/IVS.2013.6629634