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A model-based approach for current voltage analyses to quantify degradation and fuel distribution in solid oxide fuel cell stacks

机译:用于电流电压分析的基于模型的方法,用于量化固体氧化物燃料电池堆中的退化和燃料分布

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摘要

Reliable quantification and thorough interpretation of the degradation of solid oxide fuel cell (SOFC) stacks under real conditions is critical for the improvement of its long-term stability. The degradation behavior is often analyzed based on the evolution of current voltage (V,I) curves. However, these overall resistances often contain unavoidable fluctuations in the fuel gas amount and composition and hence are difficult to interpret. Studying the evolution of internal repeat unit (RU) resistances is a more appropriate measure to assess stack degradation. RU-resistances follow from EIS-data through subtraction of the gas concentration impedance from the overall steady-state resistance. In this work a model-based approach where a local equilibrium model is used for spatial discretization of a SOFC stack RU running on hydrocarbon mixtures such as natural gas. Since under stack operation, fuel leakages, uneven fuel distribution and varying natural gas composition can influence the performance, they are taken into account by the model. The model extracts the time-dependent internal resistance from (V,I)-data and local species concentration without any fitting parameters. RU resistances can be compared with the sum of the resistances of different components that allows one to make links between laboratory degradation experiments and the behavior of SOFC stacks during operation. (C) 2015 Elsevier B.V. All rights reserved.
机译:在真实条件下,可靠的量化和对固体氧化物燃料电池(SOFC)电池组退化的透彻解释对于提高其长期稳定性至关重要。通常根据电流电压(V,I)曲线的演变来分析退化行为。但是,这些总电阻通常在燃料气体的量和组成中不可避免地包含波动,因此难以解释。研究内部重复单元(RU)电阻的演变是评估电池组退化的更合适方法。通过从整体稳态电阻中减去气体浓度阻抗,可从EIS数据得出RU电阻。在这项工作中,基于模型的方法将局部平衡模型用于在诸如天然气等碳氢化合物混合物上运行的SOFC堆RU的空间离散化。由于在烟囱操作下,燃料泄漏,燃料分布不均和天然气成分变化会影响性能,因此模型将它们考虑在内。该模型从(V,I)数据和局部物种浓度中提取随时间变化的内阻,而无需任何拟合参数。可以将RU电阻与不同组件的电阻总和进行比较,从而使人们能够在实验室降解实验和SOFC堆在运行期间的行为之间建立联系。 (C)2015 Elsevier B.V.保留所有权利。

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