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Research on the configuration design and energy management of a novel plug-in hybrid electric vehicle based on the double-rotor motor and hybrid energy storage system

Author

Listed:
  • Yang, Kun
  • Zhang, Benjun
  • Chu, Yongkun
  • Wang, Zhongwei
  • Shao, Changjiang
  • Ma, Chao

Abstract

Aiming at the problems of conventional plug-in hybrid electric vehicle (PHEV), a novel PHEV configuration called DH-PHEV is proposed based on double-rotor motor (DRM) and hybrid energy storage system (HESS). For improving the comprehensive efficiency and reducing the charging/discharging rate of battery, the comprehensive energy management strategy (CEMS) is studied. Firstly, a rule-based torque allocation strategy is proposed based on the DH-PHEV configuration, the DRM operating characteristics, and the HESS operating states. The torque allocation of DRM is optimized based on the sequential quadratic programming. Secondly, the power allocation between battery and supercapacitor is optimized based on the dynamic programming (DP), with the goal of reducing the charging/discharging rate of battery and minimizing the energy consumption. The CEMS for DH-PHEV is proposed based on the DP optimization results and DRM torque allocation. Finally, the feasibility and adaptability of DH-PHEV configuration and CEMS are verified. The results show that the adaptability of CEMS under different driving cycles is excellent, and the operating modes are reasonable. The comprehensive efficiency and the charging/discharging rate of battery are optimized effectively. Under 6 WLTCs and 16 actual vehicle driving cycles, the pure electric driving range for DH-PHEV is improved by 1.07 % and 4.36 %, respectively.

Suggested Citation

  • Yang, Kun & Zhang, Benjun & Chu, Yongkun & Wang, Zhongwei & Shao, Changjiang & Ma, Chao, 2024. "Research on the configuration design and energy management of a novel plug-in hybrid electric vehicle based on the double-rotor motor and hybrid energy storage system," Energy, Elsevier, vol. 302(C).
    • Handle: RePEc:eee:energy:v:302:y:2024:i:c:s036054422401627x
    DOI: 10.1016/j.energy.2024.131854
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    References listed on IDEAS

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    1. Shi, Junzhe & Xu, Bin & Shen, Yimin & Wu, Jingbo, 2022. "Energy management strategy for battery/supercapacitor hybrid electric city bus based on driving pattern recognition," Energy, Elsevier, vol. 243(C).
    2. Bao, Shuyue & Sun, Ping & Zhu, Jianxin & Ji, Qian & Liu, Junheng, 2022. "Improved multi-dimensional dynamic programming energy management strategy for a vehicle power-split hybrid powertrain," Energy, Elsevier, vol. 256(C).
    3. Geng, Wenran & Lou, Diming & Wang, Chen & Zhang, Tong, 2020. "A cascaded energy management optimization method of multimode power-split hybrid electric vehicles," Energy, Elsevier, vol. 199(C).
    4. Hu, Jiayi & Li, Jianqiu & Hu, Zunyan & Xu, Liangfei & Ouyang, Minggao, 2021. "Power distribution strategy of a dual-engine system for heavy-duty hybrid electric vehicles using dynamic programming," Energy, Elsevier, vol. 215(PA).
    5. Zhu, Tao & Lot, Roberto & Wills, Richard G.A. & Yan, Xingda, 2020. "Sizing a battery-supercapacitor energy storage system with battery degradation consideration for high-performance electric vehicles," Energy, Elsevier, vol. 208(C).
    6. Du, Guodong & Zou, Yuan & Zhang, Xudong & Kong, Zehui & Wu, Jinlong & He, Dingbo, 2019. "Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    7. Girade, Piyush & Shah, Harsh & Kaushik, Karan & Patheria, Akil & Xu, Bin, 2021. "Comparative analysis of state of charge based adaptive supervisory control strategies of plug-in Hybrid Electric Vehicles," Energy, Elsevier, vol. 230(C).
    8. Yang, Yalian & Hu, Xiaosong & Pei, Huanxin & Peng, Zhiyuan, 2016. "Comparison of power-split and parallel hybrid powertrain architectures with a single electric machine: Dynamic programming approach," Applied Energy, Elsevier, vol. 168(C), pages 683-690.
    9. Ruan, Jiageng & Song, Qiang & Yang, Weiwei, 2019. "The application of hybrid energy storage system with electrified continuously variable transmission in battery electric vehicle," Energy, Elsevier, vol. 183(C), pages 315-330.
    10. Zhou, Yanting & Wang, Yanan & Wang, Kai & Kang, Le & Peng, Fei & Wang, Licheng & Pang, Jinbo, 2020. "Hybrid genetic algorithm method for efficient and robust evaluation of remaining useful life of supercapacitors," Applied Energy, Elsevier, vol. 260(C).
    11. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Development of energy management system based on a rule-based power distribution strategy for hybrid power sources," Energy, Elsevier, vol. 175(C), pages 1055-1066.
    12. Sarvaiya, Shradhdha & Ganesh, Sachin & Xu, Bin, 2021. "Comparative analysis of hybrid vehicle energy management strategies with optimization of fuel economy and battery life," Energy, Elsevier, vol. 228(C).
    Full references (including those not matched with items on IDEAS)

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