Global Parameters Sensitivity Analysis and Development of a Two-Dimensional Real-Time Model of Proton-Exchange-Membrane Fuel Cells
Global Parameters Sensitivity Analysis and Development of a Two-Dimensional Real-Time Model of Proton-Exchange-Membrane Fuel Cells
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DOI：
10.1016/j.enconman.2018.02.036
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发表时间：
2018-04
影响因子：
10.4
通讯作者：
Daming Zhou;T. Nguyen;E. Breaz;Dongdong Zhao;S. Clénet;Fei Gao
中科院分区：
文献类型：
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作者：
Daming Zhou;T. Nguyen;E. Breaz;Dongdong Zhao;S. Clénet;Fei Gao
提出了一种质子交换膜燃料电池（PEMFC）的二维实时建模方法。所提出的模型涵盖了流体和电化学特征的多物理域，特别考虑了燃料电池的流场几何形式。流场模型充分考虑了蛇形输气管道中反应物气体对流特性和气体扩散层扩散现象。此外，为了准确计算电化学领域的隐式空间物理量分布，还建立了三层迭代求解器。此外，所提出的二维实时建模方法采用数值方法实现了快速的执行时间，因此可以进一步方便地应用于任何实时控制实施或在线诊断系统。经过不同工况下的实验验证，采用迭代最小角回归（LAR）方法，高效、准确地进行了基于Sobol定义的全局参数灵敏度分析。在线分析结果揭示了建模参数对燃料电池性能的影响。特别研究了参数敏感性之间相互作用的影响，可以为退化理解、参数整定、参数重新校准和在线预测提供有用的信息。
This paper presents a 2-D real-time modeling approach for a proton-exchange-membrane fuel cell (PEMFC). The proposed model covers multi-physical domains for both fluidic and electrochemical features, which considers in particular the flow field geometric form of fuel cell. The characteristics of reactant gas convection in the serpentine gas pipeline and diffusion phenomenon through the gas diffusion layer (GDL) are thoroughly considered in fluidic domain model. In addition, a three levels iterative solver is developed in order to accurately calculate the implicit spatial physical quantities distribution in electrochemical domain. Moreover, the proposed 2-D real-time modeling approach uses a numerical method to achieve a fast execution time, and can thus be further easily applied to any real-time control implementation or online diagnostic system. After experimental validation under different fuel cell operating conditions, an iterative Least Angle Regression (LAR) method is used to efficiently and accurately perform the global parameters sensitivity analysis based on Sobol definition. The online analysis results give an insight into the influences of modeling parameters on fuel cell performance. The effect of interactions between parameters’ sensitivities is especially investigated, which can provide useful information for degradation understanding, parameters tuning, re-calibration of the parameters and online prognostic.