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Multi-parameter controlled mechatronics-electro-hydraulic power coupling electric vehicle based on active energy regulation

Author

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  • Yang, Jian
  • Liu, Bo
  • Zhang, Tiezhu
  • Hong, Jichao
  • Zhang, Hongxin

Abstract

To enhance the hydraulic energy utilization and torque output stability, a novel mechatronics-electro-hydraulic power coupling electric vehicle (MEH-PCEV) is proposed, integrating a hydraulic pump/motor and a motor into a single device for mutual energy conversion. For MEH-PCEVs equipped with multiple energy sources, a cluster analysis method is used to classify the actual road test dataset and provide guiding ideas for designing rule-based energy management strategies (RB-EMS). Simultaneously, for the output torque anomaly phenomenon in RB-EMS, an inverse thinking fuzzy logic optimization energy management strategy (FLO-EMS) conside ring multi-parameter objectives as input is used to adjust the electromagnetic torque in real-time and reasonably allocate the energy flow. The simulation results demonstrate that the electric and total torque output are more stable. The electric peak torque is relieved, with a corresponding increase in the percentage of electrical energy recovery. With the equal power demand, the overall efficiency of the motor working point is substantially improved, and the energy consumption rate is decreased by 24.42%. Under the active regulation of FLO-EMS, hydraulic energy is more reasonably utilized to meet the vehicle demand power while avoiding energy dissipation and waste. Moreover, this work is expected to reference the development and engineering applications of electro-hydraulic coupling systems.

Suggested Citation

  • Yang, Jian & Liu, Bo & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin, 2023. "Multi-parameter controlled mechatronics-electro-hydraulic power coupling electric vehicle based on active energy regulation," Energy, Elsevier, vol. 263(PC).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222027633
    DOI: 10.1016/j.energy.2022.125877
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    References listed on IDEAS

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    3. Hu, Jianjun & Guo, Qi & Sun, Zhicheng & Yang, Dianzhao, 2023. "Study on low-frequency torsional vibration suppression of integrated electric drive system considering nonlinear factors," Energy, Elsevier, vol. 284(C).

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