Experimental parameter uncertainty in proton exchange membrane fuel cell modeling. Part I: Scatter in material parameterization

JOURNAL OF POWER SOURCES

卷:438

Article

Vetter, Roman¹  Schumacher, Jurgen O.¹ 

[1] Zurich Univ Appl Sci ZHAW, ICP, Wildbachstr 21, CH-8401 Winterthur, Switzerland

关键词: polymer electrolyte membrane;    Fuel cell;    Model;    Parameterization;    Uncertainty analysis;    Experimental characterization;   

DOI  :  10.1016/j.jpowsour.2019.227018

来源: Elsevier

【 摘 要 】

Ever since modeling has become a mature part of proton exchange membrane fuel cell (PEMFC) research and development, it has been plagued by significant uncertainty lying in the detailed knowledge of material properties required. Experimental data published on several transport coefficients are scattered over orders of magnitude, even for the most extensively studied materials such as Nafion membranes, for instance. For PEMFC performance models to become predictive, high-quality input data is essential. In this bipartite paper series, we determine the most critical transport parameters for which accurate experimental characterization is required in order to enable performance prediction with sufficient confidence from small to large current densities. In the first part, a macro-homogeneous two-phase membrane-electrode assembly model is furnished with a comprehensive set of material parameterizations from the experimental and modeling literature. The computational model is applied to demonstrate the large spread in performance prediction resulting from experimentally measured or validated material parameterizations alone. The result of this is a ranking list of material properties, sorted by induced spread in the fuel cell performance curve. The three most influential parameters in this list stem from membrane properties: The Fickean diffusivity of dissolved water, the protonic conductivity and the electro-osmotic drag coefficient.

【 授权许可】

Free