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Development and performance evaluation of a comprehensive automotive energy recovery system with a refined energy management strategy

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  • Yu, Wei
  • Wang, Ruochen

Abstract

The development of automotive energy recovery technologies which mainly include the recovery of braking, vibration and exhaust energy have been highly promoted due to pressing energy issues. Nonetheless, the comprehensive study of energy recovery technologies applied simultaneously to a vehicle rarely receives attention. The recovered energy introduces further complications for the power sources system, which drives the refinement of the existing energy management strategy. This paper presents a novel comprehensive automotive energy recovery system. Energy conversion mechanism and energy saving potential are thoroughly explored based on the developed comprehensive energy recovery models. Bench tests are conducted to demonstrate the energy recovery performance and the effectiveness of the proposed scheme. Based on the analysis of energy flow, a novel assistant power balance strategy is developed to ensure the fair use and storage of the recovered energy and increase the energy conversion efficiency. Comparative analyses in typical cycles with various road disturbance are carried out to validate the effect of developed energy management method. The results indicate that profit of proposed strategy increases with the amount of the recovered energy and fuel economy can be well improved.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:189:y:2019:i:c:s0360544219320602
    DOI: 10.1016/j.energy.2019.116365
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    3. 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).
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    5. Li, Lin & Zhang, Tiezhu & Lu, Liqun & Zhang, Hongxin & Yang, Jian & Zhang, Zhen, 2023. "An energy active regulation management strategy based on driving mode recognition for electro-hydraulic hybrid vehicles," Energy, Elsevier, vol. 285(C).

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