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To fully utilize the advantages of different energy in electro-hydrogen hybrid energy system, this study delves into the working principles of various energy sources, establishing mechanism models for proton exchange membrane fuel cells (PEMFC) and proton exchange membrane electrolyzers (PEMEC). Furthermore, an electro-hydrogen hybrid energy system is constructed, including a PEMEC module, a lithium battery module, a photovoltaic power generation system module, four DC/DC converter modules. Subsequently, an energy management strategy based on equivalent energy consumption minimization for electro-hydrogen hybrid energy system is proposed to achieve efficient utilization of different energy sources. Finally, simulation experiments were conducted on the MATLAB/Simulink simulation platform, proving the effectiveness and feasibility of the proposed method. The experimental results demonstrate that, compared with the traditional energy management strategy based on finite state machines, the proposed method can more reasonably distribute the energy flow of different energy sources, reducing the total system energy consumption by a total of 17.09%.

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Energy Management Strategy Based on Minimum Equivalent Energy Consumption for Electro-hydrogen Hybrid Energy System

  • 会议论文

  • 发表日期：

    2025年

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  • Hailong Wang,
  • Qi Li,
  • Tianhong Wang,
  • Haolan Tan,
  • Tianle Su,
  • Weirong Chen

摘要

To fully utilize the advantages of different energy in electro-hydrogen hybrid energy system, this study delves into the working principles of various energy sources, establishing mechanism models for proton exchange membrane fuel cells (PEMFC) and proton exchange membrane electrolyzers (PEMEC). Furthermore, an electro-hydrogen hybrid energy system is constructed, including a PEMEC module, a lithium battery module, a photovoltaic power generation system module, four DC/DC converter modules. Subsequently, an energy management strategy based on equivalent energy consumption minimization for electro-hydrogen hybrid energy system is proposed to achieve efficient utilization of different energy sources. Finally, simulation experiments were conducted on the MATLAB/Simulink simulation platform, proving the effectiveness and feasibility of the proposed method. The experimental results demonstrate that, compared with the traditional energy management strategy based on finite state machines, the proposed method can more reasonably distribute the energy flow of different energy sources, reducing the total system energy consumption by a total of 17.09%.