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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

机译:温度和入口湿度对高分子电解质膜燃料电池内阻半经验模型参数的统计分析

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The internal resistance of a PEM fuel cell depends on the operation conditions and on the current delivered by the cell. This work's goal is to obtain a semiempirical model able to reproduce the effect of the operation current on the internal resistance of an individual cell of a commercial PEM fuel cell stack; and to perform a statistical analysis in order to study the effect of the operation temperature and the inlet humidities on the parameters of the model. First, the internal resistance of the individual fuel cell operating in different operation conditions was experimentally measured for different DC currents, using the high frequency intercept of the impedance spectra. Then, a semiempirical model based on Springer and co-workers' model was proposed. This model is able to successfully reproduce the experimental trends. Subsequently, the curves of resistance versus DC current obtained for different operation conditions were fitted to the semiempirical model, and an analysis of variance (ANOVA) was performed in order to determine which factors have a statistically significant effect on each model parameter. Finally, a response surface method was applied in order to obtain a regression model.
机译:PEM燃料电池的内部电阻取决于运行条件以及该电池传递的电流。这项工作的目的是获得一个半经验模型,该模型能够再现工作电流对商用PEM燃料电池堆单个电池内阻的影响。并进行统计分析,以研究工作温度和入口湿度对模型参数的影响。首先,使用阻抗谱的高频截距,针对不同的直流电流,通过实验测量了在不同工作条件下工作的单个燃料电池的内阻。然后,提出了基于Springer和同事模型的半经验模型。该模型能够成功再现实验趋势。随后,将针对不同操作条件获得的电阻对直流电流的曲线拟合到半经验模型,并进行方差分析(ANOVA),以确定哪些因素对每个模型参数具有统计学上的显着影响。最后,应用响应面法以获得回归模型。

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