A Hierarchical Control Strategy for FWID-EVs Based on Multi-Agent with Consideration of Safety and Economy
In this study, a hierarchical chassis control strategy is designed to enhance vehicle economy and safety for four-wheel independent-drive electric vehicles (FWID-EVs). In the upper-level, a vehicle dynamics model based on multiple agents is proposed, and a distributed model predictive control (DMPC)...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/23/9112 |
| _version_ | 1797463310754381824 |
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| author | Zhe Zhang Haitao Ding Konghui Guo Niaona Zhang |
| author_facet | Zhe Zhang Haitao Ding Konghui Guo Niaona Zhang |
| author_sort | Zhe Zhang |
| collection | DOAJ |
| description | In this study, a hierarchical chassis control strategy is designed to enhance vehicle economy and safety for four-wheel independent-drive electric vehicles (FWID-EVs). In the upper-level, a vehicle dynamics model based on multiple agents is proposed, and a distributed model predictive control (DMPC) method is designed to dimensionally solve the problem of tracking the center-of-mass torque of the demanded velocity trajectory and stability parameters. In the bottom-level, a multi-objective torque distribution strategy that weighs safety, dynamics and economy based on multi-agent theory is designed by comprehensively considering the motor efficiency and tire energy loss. Finally, a hardware-in-the-loop (HIL) simulation platform is built to verify the method formulated in this paper. The results show that the method in this paper is effective in tracking the desired trajectory and further enhancing the stability of the vehicle under various conditions. Compared with other algorithms, while guaranteeing safety and dynamics, the energy consumption of the powertrain is reduced by 9.51%. |
| first_indexed | 2024-03-09T17:48:55Z |
| format | Article |
| id | doaj.art-ee6989bd62d24609b3186df8952f76ec |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T17:48:55Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-ee6989bd62d24609b3186df8952f76ec2023-11-24T10:55:32ZengMDPI AGEnergies1996-10732022-12-011523911210.3390/en15239112A Hierarchical Control Strategy for FWID-EVs Based on Multi-Agent with Consideration of Safety and EconomyZhe Zhang0Haitao Ding1Konghui Guo2Niaona Zhang3State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130000, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130000, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130000, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130000, ChinaIn this study, a hierarchical chassis control strategy is designed to enhance vehicle economy and safety for four-wheel independent-drive electric vehicles (FWID-EVs). In the upper-level, a vehicle dynamics model based on multiple agents is proposed, and a distributed model predictive control (DMPC) method is designed to dimensionally solve the problem of tracking the center-of-mass torque of the demanded velocity trajectory and stability parameters. In the bottom-level, a multi-objective torque distribution strategy that weighs safety, dynamics and economy based on multi-agent theory is designed by comprehensively considering the motor efficiency and tire energy loss. Finally, a hardware-in-the-loop (HIL) simulation platform is built to verify the method formulated in this paper. The results show that the method in this paper is effective in tracking the desired trajectory and further enhancing the stability of the vehicle under various conditions. Compared with other algorithms, while guaranteeing safety and dynamics, the energy consumption of the powertrain is reduced by 9.51%.https://www.mdpi.com/1996-1073/15/23/9112electric vehiclesdistributed model predictive controltorque allocationenergy management |
| spellingShingle | Zhe Zhang Haitao Ding Konghui Guo Niaona Zhang A Hierarchical Control Strategy for FWID-EVs Based on Multi-Agent with Consideration of Safety and Economy Energies electric vehicles distributed model predictive control torque allocation energy management |
| title | A Hierarchical Control Strategy for FWID-EVs Based on Multi-Agent with Consideration of Safety and Economy |
| title_full | A Hierarchical Control Strategy for FWID-EVs Based on Multi-Agent with Consideration of Safety and Economy |
| title_fullStr | A Hierarchical Control Strategy for FWID-EVs Based on Multi-Agent with Consideration of Safety and Economy |
| title_full_unstemmed | A Hierarchical Control Strategy for FWID-EVs Based on Multi-Agent with Consideration of Safety and Economy |
| title_short | A Hierarchical Control Strategy for FWID-EVs Based on Multi-Agent with Consideration of Safety and Economy |
| title_sort | hierarchical control strategy for fwid evs based on multi agent with consideration of safety and economy |
| topic | electric vehicles distributed model predictive control torque allocation energy management |
| url | https://www.mdpi.com/1996-1073/15/23/9112 |
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