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A hydraulic hybrid propulsion method for automobiles with self-adaptive system

Author

Listed:
  • Wu, Wei
  • Hu, Jibin
  • Yuan, Shihua
  • Di, Chongfeng

Abstract

A hydraulic hybrid vehicle with the self-adaptive system is proposed. The mode-switching between the driving mode and the hydraulic regenerative braking mode is realised by the pressure cross-feedback control. Extensive simulated and tested results are presented. The control parameters are reduced and the energy efficiency can be increased by the self-adaptive system. The mode-switching response is fast. The response time can be adjusted by changing the controlling spool diameter of the hydraulic operated check valve in the self-adaptive system. The closing of the valve becomes faster with a smaller controlling spool diameter. The hydraulic regenerative braking mode can be achieved by changing the hydraulic transformer controlled angle. Compared with the convention electric-hydraulic system, the self-adaptive system for the hydraulic hybrid vehicle mode-switching has a higher reliability and a lower cost. The efficiency of the hydraulic regenerative braking is also increased.

Suggested Citation

  • Wu, Wei & Hu, Jibin & Yuan, Shihua & Di, Chongfeng, 2016. "A hydraulic hybrid propulsion method for automobiles with self-adaptive system," Energy, Elsevier, vol. 114(C), pages 683-692.
  • Handle: RePEc:eee:energy:v:114:y:2016:i:c:p:683-692
    DOI: 10.1016/j.energy.2016.08.042
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    References listed on IDEAS

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    1. Zhao, Zhenfeng & Wang, Shan & Zhang, Shuanlu & Zhang, Fujun, 2016. "Thermodynamic and energy saving benefits of hydraulic free-piston engines," Energy, Elsevier, vol. 102(C), pages 650-659.
    2. Wu, Wei & Hu, Jibin & Jing, Chongbo & Jiang, Zhonglin & Yuan, Shihua, 2014. "Investigation of energy efficient hydraulic hybrid propulsion system for automobiles," Energy, Elsevier, vol. 73(C), pages 497-505.
    3. Quan, Zhongyi & Quan, Long & Zhang, Jinman, 2014. "Review of energy efficient direct pump controlled cylinder electro-hydraulic technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 336-346.
    4. Batista, T. & Freire, F. & Silva, C.M., 2015. "Vehicle environmental rating methodologies: Overview and application to light-duty vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 192-206.
    5. Khayyam, Hamid & Bab-Hadiashar, Alireza, 2014. "Adaptive intelligent energy management system of plug-in hybrid electric vehicle," Energy, Elsevier, vol. 69(C), pages 319-335.
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    Citations

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    Cited by:

    1. Zhou, Junjie & Jing, Chongbo & Wu, Wei, 2020. "Energy efficiency modeling and validation of a novel swash plate-rotating type hydraulic transformer," Energy, Elsevier, vol. 193(C).
    2. Liu, Huanlong & Jiang, Yue & Li, Shun, 2019. "Design and downhill speed control of an electric-hydrostatic hydraulic hybrid powertrain in battery-powered rail vehicles," Energy, Elsevier, vol. 187(C).
    3. He, Xiangyu & Liu, Hao & He, Shanghong & Hu, Bili & Xiao, Guangxin, 2019. "Research on the energy efficiency of energy regeneration systems for a battery-powered hydrostatic vehicle," Energy, Elsevier, vol. 178(C), pages 400-418.
    4. Liu, Huanlong & Chen, Guanpeng & Xie, Chixin & Li, Dafa & Wang, Jiawei & Li, Shun, 2020. "Research on energy-saving characteristics of battery-powered electric-hydrostatic hydraulic hybrid rail vehicles," Energy, Elsevier, vol. 205(C).
    5. Zewen Meng & Tiezhu Zhang & Hongxin Zhang & Qinghai Zhao & Jian Yang, 2021. "Energy Management Strategy for an Electromechanical-Hydraulic Coupled Power Electric Vehicle Considering the Optimal Speed Threshold," Energies, MDPI, vol. 14(17), pages 1-12, August.
    6. Bao, Qianqian & Zhou, Junjie & Jing, Chongbo & Zhao, Huipeng & Wu, Yi & Zhang, Zhu, 2022. "Nonlinear dynamic model for the free rotor of the swash plate-rotating hydraulic transformer," Energy, Elsevier, vol. 261(PB).

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