Modeling of Air Compressor With Fuel Cell and Its Simulation

The operation parameters of air compressor exert directly an influence on the fuel cells’performance. A model of air compressor’s pressure control was set up, in order for controlling its pressure, the fitting analysis was made for the same group of experimental data respectively using RBF and Elman neural networks. By simulation it shows that the air pressure control system using the air compressor identification model with RBF neural network is of better real-time and lower offset.