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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