An Analysis of Electrochemical Capacitors

An Analysis of Electrochemical Capacitors
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DOI:
10.1149/1.1837772
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发表时间:
1997-06
影响因子:
3.9
通讯作者:
D. Fritts
D. Fritts
中科院分区:
工程技术4区
文献类型:
--
作者:
D. Fritts

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在大多数电化学电容器应用中,需要串联一组电容器(电池)以获得能够在期望电压下操作的单个电容器。由于这些器件的非理想特性和需要串联大量等效电路,因此对它们进行性能建模已被证明是困难的。在本文中,公开文献数据进行了分析,使用这里推导出的方程。该分析考虑了两种不同的负载情况下,恒定电阻和恒定功率,为任意数量的串联连接的细胞。分析了来自埃文斯电气公司制造的设备和原型设备的数据。在一般情况下,良好的协议之间获得的模型结果和报告的数据。这种一致性允许在单元水平上描绘电容器特性,这在此之前是不可用的。然而,发现报告的数据通常不足以进行完整的电容器表征。这部分是由于导出方程的要求,但通常是由于报告的数据没有完全描述所进行的实验。在进行这种分析时,使用等效电路的层次结构来提供良好的数据拟合,以便确定电容器单元参数。使用Conway 2提出的细胞模型和传输线模型。由于各种制造变量,电容值的分散也使用简单的Beta分布进行建模。
In most electrochemical capacitor applications it is necessary to series a set of capacitors (cells) to obtain a single capacitor capable of operating at a desired voltage. Performance modeling of these devices has proven difficult because of their nonideal behavior and the need to series a large number of equivalent circuits. In this paper open literature data is analyzed using the equations derived herein. The analysis considers two different load situations, constant resistance and constant-power, for an arbitrary number of series-connected cells. Data from a device built by the Evans Electric Company,' and a prototype device are analyzed. In general, excellent agreement is obtained between the model results and the reported data. This agreement allows delineation of capacitor characteristics, at the cell level, that heretofore has not been available. However, it was found that reported data are generally not adequate to allow full capacitor characterization. In part this is due to the requirements o the derived equations, but often it is due to reported data that do not fully describe the performed experiment. In doing this analysis a hierarchy of equivalent circuits was used to provide a good data fit so as to determine capacitor cell parameters. The cell model proposed by Conway 2 and a transmission-line model were used. The dispersion of capacitance values, due to various manufacturing variables, was also modeled using a simple Beta distribution.