Modeling and simulation analysis of solid oxide fuel cell system for marine equipment

Temperature management is very important for solid oxide fuel cell (SOC) power generation system, and need to first establish accurate thermal management model to simulate the working principle of the system. SOFC system is a nonlinear, multivariable, strongly coupled system, which is difficult to establish with traditional methods. In this paper, the SOFC system model is constructed based on Back-Propagation neural network, which the PID control is added on, and the closed-loop control system is analyzed. Through experimental analysis and comparison, it is found that the prediction accuracy is high and the added PID control algorithm has strong anti-interference ability.