Integrated Adhesion Coefficient Estimation of 3D Road Surfaces Based on Dimensionless Data-Driven Tire Model
The tire/road peak friction coefficient (TRPFC) is the core parameter of vehicle stability control, and its estimation accuracy significantly affects the control effect of active vehicle safety. To estimate the peak adhesion coefficient accurately, a new method for the comprehensive adhesion coeffic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/11/2/189 |
| _version_ | 1797619793160830976 |
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| author | Zhiwei Xu Yongjie Lu Na Chen Yinfeng Han |
| author_facet | Zhiwei Xu Yongjie Lu Na Chen Yinfeng Han |
| author_sort | Zhiwei Xu |
| collection | DOAJ |
| description | The tire/road peak friction coefficient (TRPFC) is the core parameter of vehicle stability control, and its estimation accuracy significantly affects the control effect of active vehicle safety. To estimate the peak adhesion coefficient accurately, a new method for the comprehensive adhesion coefficient of three-dimensional pavement based on a dimensionless data-driven tire model is proposed. Firstly, in order to accurately describe the contact state between the three-dimensional road surface and the tire during driving, stress distribution and multi-point contact are introduced into the vertical dynamic model and a new tire model driven by dimensionless data is established based on the normalization method. Secondly, the real-time assessment of lateral and longitudinal adhesion coefficients of three-dimensional pavement is realized with the unscented Kalman filter (UKF). Finally, according to the coupling relationship between the longitudinal tire adhesion coefficient and the lateral tire adhesion coefficient, a fuzzy reasoning strategy of fusing the longitudinal tire adhesion coefficient and the lateral tire adhesion coefficient is designed. The results of vehicle tests prove that the method proposed in this paper can estimate the peak adhesion coefficient of pavement quickly and accurately. |
| first_indexed | 2024-03-11T08:31:54Z |
| format | Article |
| id | doaj.art-d6ca5a64bfd649319b6d844a82cb9b4f |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-11T08:31:54Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-d6ca5a64bfd649319b6d844a82cb9b4f2023-11-16T21:45:08ZengMDPI AGMachines2075-17022023-01-0111218910.3390/machines11020189Integrated Adhesion Coefficient Estimation of 3D Road Surfaces Based on Dimensionless Data-Driven Tire ModelZhiwei Xu0Yongjie Lu1Na Chen2Yinfeng Han3Department of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaDepartment of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaDepartment of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaDepartment of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaThe tire/road peak friction coefficient (TRPFC) is the core parameter of vehicle stability control, and its estimation accuracy significantly affects the control effect of active vehicle safety. To estimate the peak adhesion coefficient accurately, a new method for the comprehensive adhesion coefficient of three-dimensional pavement based on a dimensionless data-driven tire model is proposed. Firstly, in order to accurately describe the contact state between the three-dimensional road surface and the tire during driving, stress distribution and multi-point contact are introduced into the vertical dynamic model and a new tire model driven by dimensionless data is established based on the normalization method. Secondly, the real-time assessment of lateral and longitudinal adhesion coefficients of three-dimensional pavement is realized with the unscented Kalman filter (UKF). Finally, according to the coupling relationship between the longitudinal tire adhesion coefficient and the lateral tire adhesion coefficient, a fuzzy reasoning strategy of fusing the longitudinal tire adhesion coefficient and the lateral tire adhesion coefficient is designed. The results of vehicle tests prove that the method proposed in this paper can estimate the peak adhesion coefficient of pavement quickly and accurately.https://www.mdpi.com/2075-1702/11/2/189peak adhesion coefficientthree-dimensional roadfuzzy adaptivetire modeltire/road contactdata driven |
| spellingShingle | Zhiwei Xu Yongjie Lu Na Chen Yinfeng Han Integrated Adhesion Coefficient Estimation of 3D Road Surfaces Based on Dimensionless Data-Driven Tire Model Machines peak adhesion coefficient three-dimensional road fuzzy adaptive tire model tire/road contact data driven |
| title | Integrated Adhesion Coefficient Estimation of 3D Road Surfaces Based on Dimensionless Data-Driven Tire Model |
| title_full | Integrated Adhesion Coefficient Estimation of 3D Road Surfaces Based on Dimensionless Data-Driven Tire Model |
| title_fullStr | Integrated Adhesion Coefficient Estimation of 3D Road Surfaces Based on Dimensionless Data-Driven Tire Model |
| title_full_unstemmed | Integrated Adhesion Coefficient Estimation of 3D Road Surfaces Based on Dimensionless Data-Driven Tire Model |
| title_short | Integrated Adhesion Coefficient Estimation of 3D Road Surfaces Based on Dimensionless Data-Driven Tire Model |
| title_sort | integrated adhesion coefficient estimation of 3d road surfaces based on dimensionless data driven tire model |
| topic | peak adhesion coefficient three-dimensional road fuzzy adaptive tire model tire/road contact data driven |
| url | https://www.mdpi.com/2075-1702/11/2/189 |
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