IRNN-Based Modeling and Simulation of Electrical Characteristics of Proton Exchange Membrane Fuel Cells

The proton exchange membrane fuel cell (PEMFC) is a rising research field, and PEMFC modeling is a key of PEMFC research and development. However, PEMFC mechanism models were too complicated to be suitable for PEMFC practical system control at present. To aim at the problem, the PEMFC mechanism was analyzed, and then PEMFC modeling applied artificial neural networks was advanced. The structure, algorithm, training and simulation of PEMFC modeling based on internal recurrent neural networks (IRNN) were presented in detail. The computer simulation and conducted experiment verified that this model was fast and accurate, and could be as a suitable operational model of PEMFC real-time control.