An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes

Guoxing Li, Tie Wang, Ruiliang Zhang, Fengshou Gu, Jinxian Shen

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The prediction of optimal slip ratio is crucial to vehicle control systems. Many studies have verified there is a definitive impact of tyre pressure change on the optimal slip ratio. However, the existing method of optimal slip ratio prediction has not taken into account the influence of tyre pressure changes. By introducing a second-order factor, an improved optimal slip ratio prediction considering tyre inflation pressure is proposed in this paper. In order to verify and evaluate the performance of the improved prediction, a cosimulation platform is developed by using MATLAB/Simulink and CarSim software packages, achieving a comprehensive simulation study of vehicle braking performance cooperated with an ABS controller. The simulation results show that the braking distances and braking time under different tyre pressures and initial braking speeds are effectively shortened with the improved prediction of optimal slip ratio. When the tyre pressure is slightly lower than the nominal pressure, the difference of braking performances between original optimal slip ratio and improved optimal slip ratio is the most obvious.

Original languageEnglish
Article number512024
JournalJournal of Control Science and Engineering
Volume2015
DOIs
Publication statusPublished - 2015

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