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A REAL-TIME PSEUDO-2D BI-DOMAIN MODEL OF PEM FUEL CELLS FOR AUTOMOTIVE APPLICATIONS

机译:用于汽车应用的PEM燃料电池的实时PSEUDO-2D双域模型

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With the goal of on-line diagnosis for automotive applications in mind, a real-time model of polymer electrolyte membrane (PEM) fuel cell is developed. The model draws from the authors' previous modeling effort in this area and extends its domain to incorporate transport under the lands. Transport in the catalyst and micro-porous layers, which were previously omitted, are also included in the model. Membrane water transport model is modified accordingly. Moreover, a recently developed homogeneous catalyst layer model is used to describe local oxygen transport resistance in the cathode catalyst layer. Computational efficiency is achieved through spatio-temporal decoupling of the problem, which simplifies the handling of the nonlinear terms. This computational efficiency is demonstrated by a set of simulations that resemble operation under conditions encountered in automotive applications. Moreover, simulation results of the model are in qualitative agreement with earlier computationally intensive modeling studies as well as experimental observations. The current modeling study demonstrates a significant potential for using relatively high-fidelity physics-based models on-line to improve fuel cell performance and durability, which can have a profound impact on its commercialization.
机译:考虑到汽车应用的在线诊断,显影了聚合物电解质膜(PEM)燃料电池的实时模型。该模型从该领域的先前建模工作中汲取了这一领域,并扩展了其域名,将运输在土地下。先前省略的催化剂和微多孔层的运输也包括在模型中。膜水运输模型得到了相应的修饰。此外,最近开发的均匀催化剂层模型用于描述阴极催化剂层中的局部氧气传输性。通过时空去耦实现计算效率,这简化了非线性术语的处理。通过在汽车应用中遇到的条件下类似的模拟来证明该计算效率。此外,该模型的仿真结果与先前的计算密集型建模研究以及实验观察结果进行了定性协议。目前的建模研究表明,在线上使用基于相对高保真的物理学的模型来提高燃料电池性能和耐用性,这可能对其商业化产生深远的影响。

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