A Novel Parameter Identification Method for Tire Models

Abstract

A novel parameter identification method for dynamics models of pneumatic tire was presented. The parameter identification process and methodology relate to Nelder-Mead algorithm, genetic algorithm and random value method. Based on experimental data and tire modeling of PAC2002, the lateral force parameters, longitudinal force parameters and aligning moment parameters were identified by using the presented identification approach. It can be found that the novel parameter identification approach is more accurate and efficient, which can provide theoretic evidence for tire modeling and analysis. Moreover, a software system that integrates the parameter identification methodology was compiled and developed by using MATLAB and C++, which can provide a quick and efficient parameter identification process for engineering application in the future.