A Method to Account for the Effects of Electro-Osmotic Drag and Back Diffusion in PEM Fuel Cells

Nicholas A. Ingarra, Krzysztof (Chris) Kobus, J. Maisonneuve
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Abstract

The objective of this research is to quantify the separate effects of electro-osmotic drag (EOD) and back diffusion (BD) on the net water flow across a proton exchange membrane (PEM) where these effects occur simultaneously. The solution here is to detail a method to decompose the net water flow into component drivers without making assumptions regarding the various coefficients, and instead relying on data mining to isolate the EOD and BD contributions. The net water flow across the membrane is a function of current density and water concentration differences, represented as a surface for which slopes can be determined in the direction of constant current to isolate BD, and constant concentration difference to determine EOD. This method also can be used to determine the hydration state of the membrane as well as determining which EOD and BD coefficient empirical models are valid under certain conditions. With a clearer understanding of net water flow, EOD and BD, the water balance of the fuel cell can be improved which will lead to improved fuel cell operation.
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PEM燃料电池中电渗透阻力和反向扩散影响的一种计算方法
本研究的目的是量化电渗透阻力(EOD)和反向扩散(BD)对同时发生在质子交换膜(PEM)上的净水流的单独影响。这里的解决方案是详细介绍一种方法,将净水流量分解为组件驱动因素,而不需要对各种系数进行假设,而是依靠数据挖掘来分离EOD和BD的贡献。通过膜的净水流量是电流密度和水浓度差的函数,表示为一个表面,在恒定电流方向上可以确定斜率来隔离BD,恒定浓度差来确定EOD。该方法还可用于确定膜的水化状态,以及确定在特定条件下哪些排烟量和稠油系数经验模型是有效的。通过对净水流量、EOD和BD的更清晰的认识,可以改善燃料电池的水平衡,从而改善燃料电池的运行。
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