Statistical analysis of the effect of temperature and inlet humidities on the parameters of a semiempirical model of the internal resistance of a polymer electrolyte membrane fuel cell

作者: J.J. Giner-Sanz , E.M. Ortega , V. Pérez-Herranz

DOI: 10.1016/J.JPOWSOUR.2018.01.093

关键词:

摘要: Abstract The internal resistance of a PEM fuel cell depends on the operation conditions and current delivered by cell. This work's goal is to obtain semiempirical model able reproduce effect an individual commercial stack; perform statistical analysis in order study temperature inlet humidities parameters model. First, operating different was experimentally measured for DC currents, using high frequency intercept impedance spectra. Then, based Springer co-workers’ proposed. successfully experimental trends. Subsequently, curves versus obtained were fitted model, variance (ANOVA) performed determine which factors have statistically significant each parameter. Finally, response surface method applied regression

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