6th International Hydrogen Technologies Congress, Çanakkale, Turkey, 23 January 2022, pp.176-179
Proton exchange membrane fuel cells (PEMFCs) have started to be used in a variety of transportation and stationary applications, mainly due to their high electrical efficiency, low environmental impact, and silent operation. Mathematical modeling is a preferred technique conducted to evaluate the performance of fuel cells quickly and economically. In this study, the elitist continuous genetic algorithm (E-CGA) is used to optimize the coefficients of an electrochemical PEMFC model using the polarization curve of two different commercial stacks. The results will help to predict the performance of fuel cells under different operating conditions correctly.