Modleing of Proton Exchange Membrane Fuel Cell Stack Thermal System Based on the Method of BP Neural Networks

The temperature of the proton exchange membrane fuel cell(PEMFC)stack is a key factor to influence the performance of the cell.It is necessary to build a model of PEMFC stack in order to control the temperature exactly.A approach using the method of BP neural networks to model the PEMFC stack was put forward and used to fit the experimental dates,the results was satisfying.