A 2<SUP>7-3</SUP> fractional factorial optimization of polybenzimidazole based membrane electrode assemblies for H<SUB>2</SUB>/O<SUB>2</SUB> fuel cells

We describe the usefulness of a statistical fractional factorial design to obtain consistent and reproducible behavior of a membrane-electrode-assembly (MEA) based on a phosphoric acid (PA) doped polybenzimidazole (PBI) membrane, which allows a H<SUB>2</SUB>/O<SUB>2</SUB> fuel cell to operate above 150°C. Different parameters involved during the MEA fabrication including the catalyst loading, amount of binder, processing conditions like temperature and compaction load and also the amount of carbon in the gas diffusion layers (GDL) have been systematically varied according to a 2<SUP>7-3</SUP> fractional factorial design and the data thus obtained have been analyzed using Yates's algorithm. The mean effects estimated in this way suggest the crucial role played by carbon loading in the gas diffusion layer, hot compaction temperature and the binder to catalyst ratio in the catalyst layer for enabling continuous performance. These statistically designed electrodes provide a maximum current density and power density of 1,800 mA cm<SUP>-2</SUP> and 280 mW cm<SUP>-2</SUP>, respectively, at 160°C using hydrogen and oxygen under ambient pressure