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Novel Experimental Identification Method for a Supercapacitor Multipore Model in Order to Monitor the State of Health

机译:用于监测健康状况的超级电容器多孔模型的新实验识别方法

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Supercapacitors (SCs) impedance modeling represents one important key to get information for SCs health monitoring and simulation. As a matter of fact, SCs behavior is dependent on various parameters such as pore size distribution of electrodes, electrolyte state, temperature, aging, etc. We propose in this study to model SC taking into account physical considerations. Basing on the theory on homogenous structure impedance, we first define the single pore model using the uniform size of pores distribution. In the second step, we attempt to generalize this circuit model considering an electrode with different pores sizes or different penetrabilities of the pores. This model called multipore (MP) model (or multipenetrability model) has been developed by our laboratories. This model allows analyzing the behavior of SC by modeling each group of electrode pores as a branch of an electrical equivalent circuit. This paper is the first in the literature to give a simple and reproducible method for MP model parameters identification. The validity of the identification method will also be verified at different SC aging rates thanks to experimental aging tests.
机译:超级电容器(SC)的阻抗模型代表了获取重要信息的重要关键,这些信息用于SC的健康状况监测和仿真。事实上,SC的行为取决于各种参数,例如电极的孔径分布,电解质状态,温度,老化等。我们在这项研究中建议考虑物理因素对SC进行建模。基于均匀结构阻抗的理论,我们首先使用均匀的孔分布尺寸定义单孔模型。在第二步中,我们尝试考虑具有不同孔尺寸或不同孔渗透性的电极来概括该电路模型。这种称为多孔(MP)模型(或多渗透性模型)的模型是由我们的实验室开发的。该模型允许通过将每组电极孔建模为等效电路的分支来分析SC的行为。本文是文献中第一个提供一种简单且可重现的MP模型参数识别方法。通过实验老化测试,还将在不同的SC老化速率下验证识别方法的有效性。

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