An Adaptive Vehicle Stability Enhancement Controller Based on Tire Cornering Stiffness Adaptations
This study presents an adaptive integrated chassis control strategy for enhancing vehicle stability under different road conditions, specifically through the real-time estimation of tire cornering stiffness. A hierarchical control architecture is developed, combining active front steering (AFS) and...
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| Language: | English |
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MDPI AG
2025-07-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/16/7/377 |
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| author | Jianbo Feng Zepeng Gao Bingying Guo |
| author_facet | Jianbo Feng Zepeng Gao Bingying Guo |
| author_sort | Jianbo Feng |
| collection | DOAJ |
| description | This study presents an adaptive integrated chassis control strategy for enhancing vehicle stability under different road conditions, specifically through the real-time estimation of tire cornering stiffness. A hierarchical control architecture is developed, combining active front steering (AFS) and direct yaw moment control (DYC). A recursive regularized weighted least squares algorithm is designed to estimate tire cornering stiffness from measurable vehicle states, eliminating the need for additional tire sensors. Leveraging this estimation, an adaptive sliding mode controller (ASMC) is proposed in the upper layer, where a novel self-tuning mechanism adjusts control parameters based on tire saturation levels and cornering stiffness variation trends. The lower-layer controller employs a weighted least squares allocation method to distribute control efforts while respecting physical and friction constraints. Co-simulations using MATLAB 2018a/Simulink and CarSim validate the effectiveness of the proposed framework under both high- and low-friction scenarios. Compared with conventional ASMC and DYC strategies, the proposed controller exhibits improved robustness, reduced sideslip, and enhanced trajectory tracking performance. The results demonstrate the significance of the real-time integration of tire dynamics into chassis control in improving vehicle handling and stability. |
| format | Article |
| id | doaj-art-2dca62b7be5742ea8244fbe22d18a3fd |
| institution | Kabale University |
| issn | 2032-6653 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-2dca62b7be5742ea8244fbe22d18a3fd2025-08-20T03:32:28ZengMDPI AGWorld Electric Vehicle Journal2032-66532025-07-0116737710.3390/wevj16070377An Adaptive Vehicle Stability Enhancement Controller Based on Tire Cornering Stiffness AdaptationsJianbo Feng0Zepeng Gao1Bingying Guo2School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaChina North Vehicle Research Institute, Beijing 100072, ChinaChina Merchants Testing Vehicle Technology Research Institute Co., Ltd., Chongqing 401329, ChinaThis study presents an adaptive integrated chassis control strategy for enhancing vehicle stability under different road conditions, specifically through the real-time estimation of tire cornering stiffness. A hierarchical control architecture is developed, combining active front steering (AFS) and direct yaw moment control (DYC). A recursive regularized weighted least squares algorithm is designed to estimate tire cornering stiffness from measurable vehicle states, eliminating the need for additional tire sensors. Leveraging this estimation, an adaptive sliding mode controller (ASMC) is proposed in the upper layer, where a novel self-tuning mechanism adjusts control parameters based on tire saturation levels and cornering stiffness variation trends. The lower-layer controller employs a weighted least squares allocation method to distribute control efforts while respecting physical and friction constraints. Co-simulations using MATLAB 2018a/Simulink and CarSim validate the effectiveness of the proposed framework under both high- and low-friction scenarios. Compared with conventional ASMC and DYC strategies, the proposed controller exhibits improved robustness, reduced sideslip, and enhanced trajectory tracking performance. The results demonstrate the significance of the real-time integration of tire dynamics into chassis control in improving vehicle handling and stability.https://www.mdpi.com/2032-6653/16/7/377vehicle dynamicsactive front steeringdirect yaw controltire cornering stiffnessadaptive sliding mode control |
| spellingShingle | Jianbo Feng Zepeng Gao Bingying Guo An Adaptive Vehicle Stability Enhancement Controller Based on Tire Cornering Stiffness Adaptations World Electric Vehicle Journal vehicle dynamics active front steering direct yaw control tire cornering stiffness adaptive sliding mode control |
| title | An Adaptive Vehicle Stability Enhancement Controller Based on Tire Cornering Stiffness Adaptations |
| title_full | An Adaptive Vehicle Stability Enhancement Controller Based on Tire Cornering Stiffness Adaptations |
| title_fullStr | An Adaptive Vehicle Stability Enhancement Controller Based on Tire Cornering Stiffness Adaptations |
| title_full_unstemmed | An Adaptive Vehicle Stability Enhancement Controller Based on Tire Cornering Stiffness Adaptations |
| title_short | An Adaptive Vehicle Stability Enhancement Controller Based on Tire Cornering Stiffness Adaptations |
| title_sort | adaptive vehicle stability enhancement controller based on tire cornering stiffness adaptations |
| topic | vehicle dynamics active front steering direct yaw control tire cornering stiffness adaptive sliding mode control |
| url | https://www.mdpi.com/2032-6653/16/7/377 |
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