为提高质子交换膜燃料电池（PEMFC）空气系统的动态响应性能,避免局部缺气而导致其输出性能降低等问题的出现,针对空气系统存在流量和压力耦合的问题,分别采用PID、前馈解耦控制和模型预测控制（MPC）对空气系统进行控制,通过仿真和台架测试,验证控制算法的有效性。结果表明,两种控制算法相比较PID均具有较好的控制效果,空气流量和空气压力均能快速跟随设定值,PEMFC发动机的输出性能平稳。
Abstract
In order to improve the dynamic response characteristic of the proton exchange membrane fuel cell（PEMFC） air system and avoid the occurrence of problems such as local lack of gas and the decrease in its output performance, the air system has flow and pressure coupling problems. In this paper, PID, feedforward decoupling control and model predictive control（MPC）are used to control the air system, and the effectiveness of the control algorithm is verified through simulation and bench testing. The results show that the two control algorithms have better control effects compared with PID, the air flow and air pressure can quickly follow the set value, and the output performance of the PEMFC engine is stable.
关键词
质子交换膜燃料电池 /
空气供应系统 /
解耦控制 /
台架试验
Key words
proton exchange membrane fuel cell /
air supply system /
decoupling control /
bench experiment
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基金
“十四五”国家重点研发技术氢能专项（2022YFB4003703）
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