An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes

Joint Authors

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

Source

Journal of Control Science and Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-11-25

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Electronic engineering
Information Technology and Computer Science

Abstract EN

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.

American Psychological Association (APA)

Li, Guoxing& Wang, Tie& Zhang, Ruiliang& Gu, Fengshou& Shen, Jinxian. 2015. An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes. Journal of Control Science and Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1067780

Modern Language Association (MLA)

Li, Guoxing…[et al.]. An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes. Journal of Control Science and Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1067780

American Medical Association (AMA)

Li, Guoxing& Wang, Tie& Zhang, Ruiliang& Gu, Fengshou& Shen, Jinxian. An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes. Journal of Control Science and Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1067780

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1067780