有效的质子交换膜燃料电池（PEMFC）热管理是提升其可靠性和耐久性的关键因素之一,该文通过控制PWM占空比来控制散热强度进而控制电池温度。在控制策略上,选用经改进的粒子群算法优化的模糊PID作为控制器,最后经Matlab/Simulink搭建的电堆温度模型仿真表明：该方法能有效解决PEMFC温度控制时变量多、强耦合的难题,使相对于传统的PID控制超调量下降57%,响应时间缩短27.8%,取得了响应速度快、超调小和鲁棒性强的控制效果。
Abstract
Effective proton exchange membrane fuel cell（PEMFC）thermal management is one of the key factors that improve the reliability and durability of fuel cell batteries. This article controls the temperature of the electric stack by controlling the duty cycle of the fan. In the control method, the method for improving the PSO optimization fuzzy PID control; the temperature model that is finally built by Matlab / Simulink is simulated： the method can effectively solve the time-variables, large lag and uncertainty of PEMFC temperature control. A strong coupling problem makes a decrease of 57% relative to traditional PID control overdrawl, and the response time is shortened to 27.8%, and the response speed is fast, robust, and less than a small control effect.
关键词
粒子群算法 /
热管理 /
模糊控制 /
PID控制 /
质子交换膜燃料电池
Key words
particle swarm optimization /
thermal management /
fuzzy control /
PID control /
PEMFC
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基金
先进能源科学与技术广东省实验室佛山分中心开放基金项目（XHD2020-003）
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