Simulation analysis of tire model based on BP neural networks

Author

Yang, M. ; Gao, X.H. ; Zhang, X.J.

Author_Institution

Coll. of Mech. Sci. & Eng., Jilin Univ., Changchun, China

fYear

2010

fDate

26-28 June 2010

Firstpage

392

Lastpage

395

Abstract

Tire model for vehicle braking performance simulation analysis has been built in this paper. Through theoritical analysis, the expression of longitudinal force, side-force and self-aligning torque of the tire in joint working conditions was obtained. By means of neural network module in MATLAB, BP neural network model of the tire in joint working conditions was built. Vertical load, slipping ratio, side slip angle and ground friction coefficient were the input; longitudinal force, side force and self-aligning torque of the tire were the output, and the training sample was calculated. Finally, carrying on simulation analysis of the tire in any working conditions, related tire performance was obtained, it lay the foundation for simulation analysis of automobile dynamics.

Keywords

automotive engineering; backpropagation; braking; neural nets; tyres; vehicle dynamics; BP neural network model; BP neural networks; MATLAB; automobile dynamics; ground friction coefficient; longitudinal force; neural network module; self-aligning torque; side slip angle; side-force; slipping ratio; tire model; vehicle braking performance simulation analysis; Analytical models; Employee welfare; Friction; MATLAB; Mathematical model; Neural networks; Performance analysis; Tires; Torque; Vehicles; neural network; simulation analysis; tire model; vehicle;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-7737-1

Type

conf

DOI

10.1109/MACE.2010.5535572

Filename

5535572