Vehicle Control Strategy Evaluation Based on the Driving Stability Region
Vehicle stability control strategies can improve driving safety effectively; however, there is still a lack of unified evaluation criteria for different control strategies. This paper proposes a vehicle control strategy evaluation method based on the driving stability region and is analyzed by using...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/11/6703 |
| _version_ | 1797597903518171136 |
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| author | Xianbin Wang Zexuan Li Fugang Zhang Weifeng Li Wenlong Bao |
| author_facet | Xianbin Wang Zexuan Li Fugang Zhang Weifeng Li Wenlong Bao |
| author_sort | Xianbin Wang |
| collection | DOAJ |
| description | Vehicle stability control strategies can improve driving safety effectively; however, there is still a lack of unified evaluation criteria for different control strategies. This paper proposes a vehicle control strategy evaluation method based on the driving stability region and is analyzed by using direct yaw moment control (DYC) and four-wheel steering (4WS) as examples. Firstly, the five-degree-of-freedom (5DOF) vehicle system models including DYC and 4WS are established, and the effectiveness of the control strategies is verified by nonlinear analysis methods; the dynamic characteristics of the system are also analyzed. Following this, a hybrid algorithm combining the Genetic Algorithm (GA) and Sequential Quadratic Programming (SQP) methods is used to solve the system equilibrium points, and the driving stability regions under different control strategies are obtained. Finally, the driving stability regions are tested based on the CarSim and Simulink simulations, and the control performance is evaluated. The results indicate that DYC and 4WS can improve vehicle stability and expand the range of driving stability regions. When the initial longitudinal velocity is below 30 m/s, the driving stability regions under DYC and 4WS expand to different extents compared to the original driving stability region. The expanded driving stability regions show that the stability region of the vehicle with DYC is larger than that of 4WS; thus, the control effect of DYC is better than that of 4WS. The proposed method can be used to evaluate the effective range of different control strategies. |
| first_indexed | 2024-03-11T03:11:57Z |
| format | Article |
| id | doaj.art-ded5a669dd89446c9155bff3c38a6ea5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T03:11:57Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-ded5a669dd89446c9155bff3c38a6ea52023-11-18T07:35:40ZengMDPI AGApplied Sciences2076-34172023-05-011311670310.3390/app13116703Vehicle Control Strategy Evaluation Based on the Driving Stability RegionXianbin Wang0Zexuan Li1Fugang Zhang2Weifeng Li3Wenlong Bao4School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, ChinaSchool of Traffic and Transportation, Northeast Forestry University, Harbin 150040, ChinaCommercial Vehicle Development Institute of China FAW Jiefang Automobile Co., Ltd., Changchun 130062, ChinaSchool of Traffic and Transportation, Northeast Forestry University, Harbin 150040, ChinaSchool of Traffic and Transportation, Northeast Forestry University, Harbin 150040, ChinaVehicle stability control strategies can improve driving safety effectively; however, there is still a lack of unified evaluation criteria for different control strategies. This paper proposes a vehicle control strategy evaluation method based on the driving stability region and is analyzed by using direct yaw moment control (DYC) and four-wheel steering (4WS) as examples. Firstly, the five-degree-of-freedom (5DOF) vehicle system models including DYC and 4WS are established, and the effectiveness of the control strategies is verified by nonlinear analysis methods; the dynamic characteristics of the system are also analyzed. Following this, a hybrid algorithm combining the Genetic Algorithm (GA) and Sequential Quadratic Programming (SQP) methods is used to solve the system equilibrium points, and the driving stability regions under different control strategies are obtained. Finally, the driving stability regions are tested based on the CarSim and Simulink simulations, and the control performance is evaluated. The results indicate that DYC and 4WS can improve vehicle stability and expand the range of driving stability regions. When the initial longitudinal velocity is below 30 m/s, the driving stability regions under DYC and 4WS expand to different extents compared to the original driving stability region. The expanded driving stability regions show that the stability region of the vehicle with DYC is larger than that of 4WS; thus, the control effect of DYC is better than that of 4WS. The proposed method can be used to evaluate the effective range of different control strategies.https://www.mdpi.com/2076-3417/13/11/6703evaluation of control strategiesdriving stability regionnonlinear dynamicsvehicle handling stability |
| spellingShingle | Xianbin Wang Zexuan Li Fugang Zhang Weifeng Li Wenlong Bao Vehicle Control Strategy Evaluation Based on the Driving Stability Region Applied Sciences evaluation of control strategies driving stability region nonlinear dynamics vehicle handling stability |
| title | Vehicle Control Strategy Evaluation Based on the Driving Stability Region |
| title_full | Vehicle Control Strategy Evaluation Based on the Driving Stability Region |
| title_fullStr | Vehicle Control Strategy Evaluation Based on the Driving Stability Region |
| title_full_unstemmed | Vehicle Control Strategy Evaluation Based on the Driving Stability Region |
| title_short | Vehicle Control Strategy Evaluation Based on the Driving Stability Region |
| title_sort | vehicle control strategy evaluation based on the driving stability region |
| topic | evaluation of control strategies driving stability region nonlinear dynamics vehicle handling stability |
| url | https://www.mdpi.com/2076-3417/13/11/6703 |
| work_keys_str_mv | AT xianbinwang vehiclecontrolstrategyevaluationbasedonthedrivingstabilityregion AT zexuanli vehiclecontrolstrategyevaluationbasedonthedrivingstabilityregion AT fugangzhang vehiclecontrolstrategyevaluationbasedonthedrivingstabilityregion AT weifengli vehiclecontrolstrategyevaluationbasedonthedrivingstabilityregion AT wenlongbao vehiclecontrolstrategyevaluationbasedonthedrivingstabilityregion |