An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes
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 pressu...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/512024 |
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| _version_ | 1832568298852581376 |
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| author | Guoxing Li Tie Wang Ruiliang Zhang Fengshou Gu Jinxian Shen |
| author_facet | Guoxing Li Tie Wang Ruiliang Zhang Fengshou Gu Jinxian Shen |
| author_sort | Guoxing Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-7f8b0b6b8ef44e0e9caa6b8982c157d9 |
| institution | Kabale University |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-7f8b0b6b8ef44e0e9caa6b8982c157d92025-02-03T00:59:23ZengWileyJournal of Control Science and Engineering1687-52491687-52572015-01-01201510.1155/2015/512024512024An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure ChangesGuoxing Li0Tie Wang1Ruiliang Zhang2Fengshou Gu3Jinxian Shen4Department of Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaDepartment of Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaDepartment of Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaDepartment of Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaDepartment of Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaThe 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.http://dx.doi.org/10.1155/2015/512024 |
| spellingShingle | Guoxing Li Tie Wang Ruiliang Zhang Fengshou Gu Jinxian Shen An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes Journal of Control Science and Engineering |
| title | An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes |
| title_full | An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes |
| title_fullStr | An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes |
| title_full_unstemmed | An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes |
| title_short | An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes |
| title_sort | improved optimal slip ratio prediction considering tyre inflation pressure changes |
| url | http://dx.doi.org/10.1155/2015/512024 |
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