Full Length Research Paper
Abstract
Pressure and temperature of the cell are the effective parameters in performance of proton exchange membrane (PEM) fuel cell. In this study, a genetic algorithm is applied to determine operating conditions that result in maximum power density of a proton exchange membrane fuel cell (PEMFC). A quasi two dimensional, isothermal model is presented for PEM fuel cell and the polarization curve of the system could be achieved. The maximum power density of the system is used as fitness function of genetic algorithm. An experimental setup is developed and the result of this analytical model is compared to experimental result and has a good agreement.
Key words: Proton exchange membrane (PEM) fuel cell, genetic algorithm, analytical model, optimization.
Abbreviation
Abbreviations: GA, Genetic algorithm; MEA, membrane electrode assembly; PEMFC,proton exchange membrane fuel cell.
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