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Ever since modeling has become a mature part of proton exchange membrane fuelcell (PEMFC) research and development, it has been plagued by significantuncertainty lying in the detailed knowledge of material properties required.Experimental data published on several transport coefficients are scatteredover orders of magnitude, even for the most extensively studied materials suchas Nafion membranes, for instance. For PEMFC performance models to becomepredictive, high-quality input data is essential. In this bipartite paperseries, we determine the most critical transport parameters for which accurateexperimental characterization is required in order to enable performanceprediction with sufficient confidence from small to large current densities. Inthe first part, a macro-homogeneous two-phase membrane-electrode assembly modelis furnished with a comprehensive set of material parameterizations from theexperimental and modeling literature. The computational model is applied todemonstrate the large spread in performance prediction resulting fromexperimentally measured or validated material parameterizations alone. Theresult of this is a ranking list of material properties, sorted by inducedspread in the fuel cell performance curve. The three most influentialparameters in this list stem from membrane properties: The Fickean diffusivityof dissolved water, the protonic conductivity and the electro-osmotic dragcoefficient.

Experimental parameter uncertainty in PEM fuel cell modeling. Part I: Scatter in material parameterization