Design of collaborative control system for low temperature operation of air-cooled proton exchange membrane fuel cell

Abstract

The air-cooled proton exchange membrane fuel cell has an open cathode, so the temperature, air volume and humidity of the air participating in the cathode reaction and the air used for heat dissipation will directly affect the performance of the fuel cell. In this paper, the relationship between the optimal working temperature of the air-cooled proton exchange membrane fuel cell and the ambient temperature, ambient humidity and working current is obtained through experiments, and a collaborative control system based on BP neural network fuzzy incremental PID stack temperature and working chamber temperature is designed. Experiments show that the control system can make the stack and working cabin reach the set temperature in low temperature environment.