Modeling and Simulation of the Fuel Cell Air Supply System Based on Artificial Neural Network

The air supply system is a very important part of proton exchange membrane fuel cell (PEMFC) system, and it has a great impact on the dynamic performance of the fuel cell power system. In this paper, the air supply system model is established by mechanism modeling combining with neural network modeling. At the end of the paper, by comparing the operational results of the model with the experimental data, it is verified that the model is correct and effective.