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A Hierarchical Control Strategy for FWID-EVs Based on Multi-Agent with Consideration of Safety and Economy

Author

Listed:
  • Zhe Zhang

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130000, China)

  • Haitao Ding

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130000, China)

  • Konghui Guo

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130000, China)

  • Niaona Zhang

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130000, China
    School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun 130012, China)

Abstract

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%.

Suggested Citation

  • Zhe Zhang & Haitao Ding & Konghui Guo & Niaona Zhang, 2022. "A Hierarchical Control Strategy for FWID-EVs Based on Multi-Agent with Consideration of Safety and Economy," Energies, MDPI, vol. 15(23), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9112-:d:990485
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    References listed on IDEAS

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    1. Hu, Xiao & Wang, Ping & Hu, Yunfeng & Chen, Hong, 2020. "A stability-guaranteed and energy-conserving torque distribution strategy for electric vehicles under extreme conditions," Applied Energy, Elsevier, vol. 259(C).
    2. Wu, Yue & Huang, Zhiwu & Hofmann, Heath & Liu, Yongjie & Huang, Jiahao & Hu, Xiaosong & Peng, Jun & Song, Ziyou, 2022. "Hierarchical predictive control for electric vehicles with hybrid energy storage system under vehicle-following scenarios," Energy, Elsevier, vol. 251(C).
    3. Runqiao Liu & Minxiang Wei & Nan Sang & Jianwei Wei, 2020. "Research on Curved Path Tracking Control for Four-Wheel Steering Vehicle considering Road Adhesion Coefficient," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-18, January.
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