Extracting Model Parameters of Proton Exchange Membrane Fuel Cell Using Equilibrium Optimizer Algorithm

The accurate modelling of fuel cell (FC) plays an effective role in simulating its electrochemical performance. In this work, Proton Exchange Membrane Fuel Cell (PEMFC) mathematical model is presented. The optimization problem of extraction the best values of unknown parameters of PEMFC stacks has been solved based on a metaheuristic optimization technique, namely, Equilibrium Optimizer (EO). The developed EO is tested on different commercial PEMFCs stacks to appreciate its reliability compared with other well-known optimization techniques. Furthermore, statistical assessment has been performed to validate the reliability of developed technique in solving the studied optimization problem. Additionally, the superiority of optimized parameters is verified by studying the dynamic characteristics of PEMFCs under changing the cell temperature and reactants' pressures. Furthermore, the calculated results have been compared with those obtained by other recent optimization techniques and shown the superiority of developed EO in optimal PEMFC stack models parameters' extraction.