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Control design and fuel economy investigation of power split HEV with energy regeneration of suspension

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  • Shi, Dehua
  • Pisu, Pierluigi
  • Chen, Long
  • Wang, Shaohua
  • Wang, Renguang

Abstract

This paper explores the impacts of active suspension with energy regeneration capability on the fuel economy of a power split Hybrid Electric Vehicle (HEV). Models of HEV powertrain and suspension are established and, based on their interactions, unified. The impacts of control parameters on the suspension performance are synthetically analyzed. The analyses form a basis for the design of suspension controller. High-level supervisory controller and low-level sub-controllers for HEV powertrain and suspension are designed. Low-level sub-controllers can ensure the performance of each system, whose control parameters are updated by the supervisory controller. The equivalent consumption minimization strategy (ECMS), superior in maintaining charge sustainability, is improved for better application in the proposed system. Simulation results under different conditions demonstrate that both HEV fuel economy and ride comfort are improved. Comparative analyses of various scenarios validate the positive effect of suspension energy regeneration on the energy conservation performance of power split HEV. Meanwhile, the improvement of HEV fuel economy can be highlighted by applying ECMS.

Suggested Citation

  • Shi, Dehua & Pisu, Pierluigi & Chen, Long & Wang, Shaohua & Wang, Renguang, 2016. "Control design and fuel economy investigation of power split HEV with energy regeneration of suspension," Applied Energy, Elsevier, vol. 182(C), pages 576-589.
    • Handle: RePEc:eee:appene:v:182:y:2016:i:c:p:576-589
    DOI: 10.1016/j.apenergy.2016.08.034
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    References listed on IDEAS

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    Cited by:

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    10. Pei, Huanxin & Hu, Xiaosong & Yang, Yalian & Tang, Xiaolin & Hou, Cong & Cao, Dongpu, 2018. "Configuration optimization for improving fuel efficiency of power split hybrid powertrains with a single planetary gear," Applied Energy, Elsevier, vol. 214(C), pages 103-116.
    11. Xu Hu & Jinwei Sun & Yisong Chen & Qiu Liu & Liang Gu, 2019. "Considering Well-to-Wheels Analysis in Control Design: Regenerative Suspension Helps to Reduce Greenhouse Gas Emissions from Battery Electric Vehicles," Energies, MDPI, vol. 12(13), pages 1-19, July.
    12. Abdelkareem, Mohamed A.A. & Xu, Lin & Ali, Mohamed Kamal Ahmed & El-Daly, Abdel-Rahman B.M. & Hassan, Mohamed A. & Elagouz, Ahmed & Bo, Yang, 2019. "Analysis of the prospective vibrational energy harvesting of heavy-duty truck suspensions: A simulation approach," Energy, Elsevier, vol. 173(C), pages 332-351.
    13. Xueying Lv & Yanju Ji & Huanyu Zhao & Jiabao Zhang & Guanyu Zhang & Liu Zhang, 2020. "Research Review of a Vehicle Energy-Regenerative Suspension System," Energies, MDPI, vol. 13(2), pages 1-14, January.
    14. Chen, Shi-An & Jiang, Xu-Dong & Yao, Ming & Jiang, Shun-Ming & Chen, Jinzhou & Wang, Ya-Xiong, 2020. "A dual vibration reduction structure-based self-powered active suspension system with PMSM-ball screw actuator via an improved H2/H∞ control," Energy, Elsevier, vol. 201(C).
    15. Cai, Y. & Ouyang, M.G. & Yang, F., 2017. "Impact of power split configurations on fuel consumption and battery degradation in plug-in hybrid electric city buses," Applied Energy, Elsevier, vol. 188(C), pages 257-269.
    16. Zhang, Junjiang & Yang, Yang & Hu, Minghui & Yang, Zhong & Fu, Chunyun, 2021. "Longitudinal–vertical comprehensive control for four-wheel drive pure electric vehicle considering energy recovery and ride comfort," Energy, Elsevier, vol. 236(C).
    17. Yu, Wei & Wang, Ruochen, 2019. "Development and performance evaluation of a comprehensive automotive energy recovery system with a refined energy management strategy," Energy, Elsevier, vol. 189(C).
    18. Wang, Yue & Li, Keqiang & Zeng, Xiaohua & Gao, Bolin & Hong, Jichao, 2023. "Investigation of novel intelligent energy management strategies for connected HEB considering global planning of fixed-route information," Energy, Elsevier, vol. 263(PB).
    19. Long, Guimin & Ding, Fei & Zhang, Nong & Zhang, Jie & Qin, An, 2020. "Regenerative active suspension system with residual energy for in-wheel motor driven electric vehicle," Applied Energy, Elsevier, vol. 260(C).
    20. Wu, Jingda & He, Hongwen & Peng, Jiankun & Li, Yuecheng & Li, Zhanjiang, 2018. "Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus," Applied Energy, Elsevier, vol. 222(C), pages 799-811.

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