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Numerical Study of PEMFC Water Management for Control and Diagnosis Strategies Design

机译:对照和诊断策略设计的PEMFC水管理数值研究

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Water management is one of the most important topics for Proton Exchange Membrane Fuel Cells (PEMFCs) since it affects the achievement of high/peak power performance. This research work deals with the main water dynamics from the viewpoint of the fuel cell control and diagnosis to improve on-field operation. Therefore, attention has been given to the achievement of synthetic but comprehensive models, which can be easily applied for both control and diagnosis strategies design and on-board applications. The paper focuses on the effects of water transport mechanism through the components of the cell on PEMFC's performance. For this purpose, it is assumed that evaporation and capillarity are the predominant processes in the water flow through the gas diffusion layer (GDL). These mechanisms are simulated through accurate, computationally fast and low order models (mean value models - MVM). Fast simulation time is achieved by lumping the space dependence of the main variables. The novelty of the work lies in the fusion of a comprehensive PEMFC stack model with a map-based simulation model, which reproduces the water transport through the GDL and at the interface between GDL and gas flow channel (GFC). This approach can lead to the exploration of advanced control strategies to enhance stack performance, improve fault diagnosis and increase system durability.
机译:水管理是质子交换膜燃料电池(PEMFC)最重要的主题之一,因为它影响了高/峰值功率性能的实现。这项研究工作从燃料电池控制和诊断的观点来看主要水动态,以改善现场操作。因此,已经注意了合成但综合型号的重视,这可以很容易地应用于控制和诊断策略设计和板载应用。本文侧重于水运输机制通过对PEMFC的性能的组成部分的影响。为此目的,假设蒸发和毛细管性是通过气体扩散层(GDL)的水流中的主要过程。通过精确,计算快速和低阶模型(平均值模型 - MVM)模拟这些机制。通过延长主要变量的空间依赖性来实现快速模拟时间。该工作的新颖性在于具有基于地图的仿真模型的全面PEMFC堆栈模型的融合,其通过GDL和GDL和气流通道(GFC)之间的界面再现水路。这种方法可以导致探索先进的控制策略,提高堆栈性能,提高故障诊断并提高系统耐用性。

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