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An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes

Li, Guoxing, Wang, Tie, Zhang, Ruiliang, Gu, Fengshou and Shen, Jinxian (2015) An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes. Journal of Control Science and Engineering, 2015. pp. 1-8. ISSN 1687-5249

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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.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Centre for Precision Technologies > Engineering Control and Machine Performance Research Group
Depositing User: Cherry Edmunds
Date Deposited: 30 Nov 2015 10:13
Last Modified: 01 Dec 2016 01:30
URI: http://eprints.hud.ac.uk/id/eprint/26597

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