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During the process of working state switching of parallel hybrid electric vehicle (PHEV), it is necessary to solve the control problem of complex nonlinear dynamic coupling system. The intelligent control strategy is studied. The fuzzy radial basis function neural network (RBFNN) working state recognizer is proposed. Next, the control model of the PHEV is established. Then the intelligent control algorithm is studied. The vehicle dynamics and economy characteristics before and after applying the intelligent strategy are compared and analyzed. The intelligent strategy can first meet the vehicle dynamic performance as the premise, and achieve the comprehensive goal of the minimum fuel consumption is proved by experiments.

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Research on Intelligent Control Strategy for Parallel Hybrid Electric Vehicles

  • 会议论文

  • 发表日期：

    2025年

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  • Yun Zhang,
  • Yidan Hu,
  • Mingxuan Bi,
  • Wenhan Chen,
  • Zeang Wang,
  • Qiulei Xiao,
  • liye Liu

摘要

During the process of working state switching of parallel hybrid electric vehicle (PHEV), it is necessary to solve the control problem of complex nonlinear dynamic coupling system. The intelligent control strategy is studied. The fuzzy radial basis function neural network (RBFNN) working state recognizer is proposed. Next, the control model of the PHEV is established. Then the intelligent control algorithm is studied. The vehicle dynamics and economy characteristics before and after applying the intelligent strategy are compared and analyzed. The intelligent strategy can first meet the vehicle dynamic performance as the premise, and achieve the comprehensive goal of the minimum fuel consumption is proved by experiments.