Application of MATLAB Simulink to Determination of Process Parameters for Maximum Power of a PEMFC

large numbers of experiments are often needed to understand clearly the effects of the parameters on the performance of PEMFC, but It is known very well that pressure and temperature were the effective parameters in Performance of fuel cell. In this study, the genetic algorithms was applied to determine optimum working conditions in obtaining maximum power density of a PEMFC. we use commercial fuel cell software that be writed based on the analytical method as fitness function for GA algorithm. For simplism and have a quick response, we use Lookup Table in Matlab simulink to determine the fitness using FC software. At the conclusion of this study we obtaine the optimum value for pressure of cathod and anode side, in this manner temperature of anode and cathod side.

کلیدواژه ها:

PEM fuel cell ، Genetic algorithms ، optimization