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Influence of Nature and Concentration of Iron Ions on the Degradation of PEMFCs: A Modeling Study

机译:铁离子的性质和浓度对PEMFC降解的影响:造型研究

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摘要

Polymer Electrolyte Membrane (PEM) Fuel Cells represent a promising technology for high-efficiency energy conversion as an alternative to fossil energies. However, under practical operating conditions, the durability of the current technology is not high enough yet to be economically viable. Modeling is becoming a more and more important tool for understanding degradation mechanisms and predicting the lifetime of fuel cells. For this goal, we apply multiphysics elementary kinetic models that describe electrochemical reactions and transport processes in a highly detailed way. This allows a reliable prediction of the long-time behavior of the cell, which always involves temporal extrapolation away from short-term measurements.udThis presentation deals with a 1D model of the PEM chemical aging, which represents one of the major mechanisms inducing irreversible PEMFC performance decay. The model describes water, gas and ion transport across the PEM, production of hydrogen peroxide in the anode CL, transport of peroxide into the PEM, its decomposition, and chemical degradation of the PEM through radicals attack. Parameter identification and modeludvalidation is performed using published experimental work from several groups.udIt has been observed experimentally by Kodama et al. that the degradation rate depends nonlinearly on the concentration of iron ions in the membrane. Particularly, under very aggressive conditions the membrane degradation is not as high as expected. This study shows a model-based analysis of the influence of ion concentration on the degradation rate. The different effects of Fe2+ and Fe3+ are quantified.
机译:聚合物电解质膜(PEM)燃料电池代表高效能量转换的有希望的技术,作为化石能量的替代品。然而,在实际运行条件下,目前技术的耐久性尚未足够高,但在经济上可行。建模正在成为理解劣化机制和预测燃料电池的寿命的越来越重要的工具。为此目标,我们将多体学基本动态模型应用于以高度详细的方式描述电化学反应和运输过程。这允许对小区的长时间行为进行可靠的预测,这总是涉及远离短期测量的时间外推。 udthis介绍涉及PEM化学老化的1D模型,这代表了诱导不可逆的主要机制之一PEMFC性能衰减。该模型描述了PEM的水,气体和离子输送,在阳极CL中产生过氧化氢,通过自由基攻击将过氧化物输送到PEM中,其分解和化学降解。参数识别和型号 UDValidation使用来自几个组的公开的实验工作来执行。 udit通过Kodama等人通过实验观察。降解速率在膜中的铁离子浓度下非线性地取决于非线性。特别是,在非常激进的条件下,膜降解并不像预期那么高。该研究表明,基于模型的离子浓度对降解速率的影响分析。 Fe2 +和Fe3 +的不同效果量化。

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  • 年度 2011
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