摘要
根据实验数据,选用合适的智能方法,建立了质子交换膜燃料电池温度辨识模型,然后设计了基于BP神经网络的PID控制器通过调节循环冷却水的流量将电堆温度控制在设定值。仿真结果表明该控制器可以将电池系统的温度很好的控制在理想的范围内,对实际应用具有很好的指导作用。
The PEMFC＇s operational temperature, which exerts great influences on the transmission characteristics of the reactant gases, the membrane hydration degree, and the catalyzer activity, is a very important parameter to the stack＇s output performance. By using experimental data and appropriate intellectual algorithm, a PEMFC temperature identification model was constructed, and a BPNN-PID controller was designed to control the stack temperature at the set value by adjusting the cycle cooling water. Simulation results showed that the model can reflect PEMFC＇s characteristics correctly and the performance of the controller is ideal.
出处
《华东电力》
北大核心
2009年第1期184-186,共3页
East China Electric Power
基金
国家863课题基金资助项目(2005AA517020)
