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    基于模糊控制的质子膜燃料电池热管理系统的设计与仿真

    Design and Simulation of a Fuzzy Control-based Thermal Management System for Proton Exchange Membrane Fuel Cells

    • 摘要: 为提高质子交换膜燃料电池(PEMFC)在水下动力平台中的热管理性能,解决其强耦合、非线性导致的温控响应慢问题,设计了基于模糊比例-积分-微分(PID)控制的双执行器协同热管理系统。通过建立PEMFC电-热耦合数学模型,构建了包含电堆、水泵、散热器的系统仿真平台。结果表明:在动态电流工况下,对比传统PID控制,模糊PID通过实时调节水泵流量与散热器风量,实现电堆温度的快速稳定,模糊PID将温度稳定时间缩短了323.1 s,超调量降低,效率提升,且温控误差不超过±0.05 K;该系统显著提升了PEMFC在复杂工况下的鲁棒性。

       

      Abstract: To improve thermal management performance of proton exchange membrane fuel cells (PEMFCs) in underwater power platforms and to address the slow temperature control response caused by strong coupling and nonlinearity, a dual-actuator cooperative thermal management system based on fuzzy proportional- integral-derivative (PID) control was designed. An electro-thermal coupled mathematical model of the PEMFC was established, and a system simulation platform comprising the stack, water pump, and radiator was constructed. Results show that under dynamic current conditions, compared with conventional PID control, the fuzzy PID controller achieves faster and more stable stack temperature regulation by adjusting the water pump flow rate and radiator airflow in real time. The fuzzy PID reduces the temperature stabilization time by 323.1 s, lowers overshoot, improves efficiency, and maintains temperature control error within ±0.05 K. The system significantly enhances the robustness of PEMFCs under complex operating conditions.

       

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