Temperature control of proton exchange membrane fuel cell thermal management system based on APSO-BP-PID control strategy
Aiming at solving the issues of slow response,system oscillation,large temperature fluctuation and strong coupling of the proton exchange membrane fuel cell thermal management system,this paper proposes a coolant flow following the current control,optimizes the PID control strategy of neural network based on adaptive particle swarm algorithm,and constructs a 125 kW proton exchange membrane fuel cell thermal management system on the Matlab/Simulink platform to analyze the flow distribution and heat exchange between components.Compared with PID control strategy optimized by neural network and traditional PID control strategy under different working conditions.-The simulation results show that the control strategy proposed in this paper can realize the decoupling of cooling fan and circulating water pump under different working conditions;Under the step signal test,the flow rate of the circulating water pump follows the current and responds quickly;Under the dynamic performance test,the air volume control of the cooling fan is achieved without overshoot and stable within 30 s,reducing the oscillation of the system,and both the temperature difference between the inlet and outlet coolant of the fuel cell stack and the fluctuation degree of the fuel cell stack voltage is decreased.The results indicate that the proposed control strategy achieves satisfying control performance.
power mechanical engineeringfuel cellneural networkthermal management systemcontrol strategy
万方数据
维普
