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Energy recovery strategy optimization of dual-motor drive electric vehicle based on braking safety and efficient recovery

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  • He, Qiang
  • Yang, Yang
  • Luo, Chang
  • Zhai, Jun
  • Luo, Ronghua
  • Fu, Chunyun

Abstract

Braking energy recovery technology, which is widely used in new energy vehicles, can extend the endurance range and reduce the wear of hydraulic braking system. However, due to its direct impact on the economy and safety of the vehicle, maximizing the recovery efficiency and coordinating its work with the hydraulic system are essential to improve vehicle performance. In this study, a pure electric vehicle driven by dual-motor is considered, and an optimized energy recovery strategy based on braking safety and efficient recovery is proposed, which not only enhances the energy recovery rate, but also shortens the braking distance. For the motor braking part, a torque optimization strategy with the goal of minimizing the energy loss of the regenerative braking system is proposed to improve energy recovery. Simulation results show that after applying this strategy, compared with the average distribution strategy, the energy recovery rate is increased by 3.35% under WLTC cycles. For the electro-hydraulic compound braking part, a dynamic coordinated control strategy with variable reserved motor braking force is proposed for the first time to reduce the error between the actual braking torque and the target braking torque, and the effectiveness is verified by simulation results under typical conditions.

Suggested Citation

  • He, Qiang & Yang, Yang & Luo, Chang & Zhai, Jun & Luo, Ronghua & Fu, Chunyun, 2022. "Energy recovery strategy optimization of dual-motor drive electric vehicle based on braking safety and efficient recovery," Energy, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:energy:v:248:y:2022:i:c:s0360544222004467
    DOI: 10.1016/j.energy.2022.123543
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    References listed on IDEAS

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    4. Chengqun, Qiu & Wan, Xinshan & Wang, Na & Cao, Sunjia & Ji, Xinchen & Wu, Kun & Hu, Yaoyu & Meng, Mingyu, 2023. "A novel regenerative braking energy recuperation system for electric vehicles based on driving style," Energy, Elsevier, vol. 283(C).
    5. Ruan, Jiageng & Wu, Changcheng & Liang, Zhaowen & Liu, Kai & Li, Bin & Li, Weihan & Li, Tongyang, 2023. "The application of machine learning-based energy management strategy in a multi-mode plug-in hybrid electric vehicle, part II: Deep deterministic policy gradient algorithm design for electric mode," Energy, Elsevier, vol. 269(C).
    6. Lipeng, Zhang & Xin, Liu & Shuaishuai, Liu & Haoran, Guo & Kaixin, Shi, 2024. "Low energy consumption traction control for centralized and distributed dual-mode coupling drive electric vehicle on split ramps," Energy, Elsevier, vol. 289(C).
    7. Chi T. P. Nguyen & Bảo-Huy Nguyễn & Minh C. Ta & João Pedro F. Trovão, 2023. "Dual-Motor Dual-Source High Performance EV: A Comprehensive Review," Energies, MDPI, vol. 16(20), pages 1-28, October.
    8. Li, Shicheng & Xu, Lin & Du, Xiaofang & Wang, Nian & Lin, Feng & Abdelkareem, Mohamed A.A., 2023. "Combined single-pedal and low adhesion control systems for enhanced energy regeneration in electric vehicles: Modeling, simulation, and on-field test," Energy, Elsevier, vol. 269(C).
    9. Wang, Shuai & Wu, Xiuheng & Zhao, Xueyan & Wang, Shilong & Xie, Bin & Song, Zhenghe & Wang, Dongqing, 2023. "Co-optimization energy management strategy for a novel dual-motor drive system of electric tractor considering efficiency and stability," Energy, Elsevier, vol. 281(C).
    10. Lee, Gwangryeol & Song, Jingeun & Han, Jungwon & Lim, Yunsung & Park, Suhan, 2023. "Study on energy consumption characteristics of passenger electric vehicle according to the regenerative braking stages during real-world driving conditions," Energy, Elsevier, vol. 283(C).

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