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Analytical model of the current distribution of parallel-connected battery cells and strings

机译:并联连接的电池和电池串电流分布的分析模型

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摘要

The parallel-connection of lithium-ion cells and strings is of increasing research interest, mainly due to the energy and power demands of large-scale applications, e.g. electric vehicles (EV). For battery systems an accurate estimation of the current distribution within these parallel configurations is crucial for optimal operation and system design. The present paper provides an analytical model for the current distribution of cells and strings connected in parallel. Eight characteristic values are determined, fully describing these systems. These characteristic values are used to investigate the impacts of cell resistance and capacity distributions on maximum currents, open circuit voltage (OCV) and state of charge (SoC) differences within the parallel-connected cells and strings. It is found, that maximum cell currents and SoC differences within parallel-connected cells increase almost logarithmically with the number of parallel-and serial-connected cells. A linear correlation of these values to the related standard deviation of cell's resistance and capacity is shown by Monte Carlo simulations. Maximum string currents decrease by square root with the number of parallel-and serial-connected cells, due to statistical averaging, which cause a square root correlation of the related standard deviation to the number of parallel-and serial-connected cells.
机译:锂离子电池和电池串的并联连接越来越引起人们的研究兴趣,这主要是由于大规模应用对能源和电力的需求,例如锂离子电池。电动汽车(EV)。对于电池系统,准确估计这些并联配置中的电流分布对于优化运行和系统设计至关重要。本文为并联连接的电池和电池串的电流分布提供了一个分析模型。确定了八个特征值,充分描述了这些系统。这些特性值用于调查并联连接的电池和电池串中电池电阻和容量分布对最大电流,开路电压(OCV)和充电状态(SoC)差异的影响。发现,并联单元中的最大单元电流和SoC差异几乎随并联单元和串联单元的数量成对数增加。这些值与电池的电阻和容量的相关标准偏差的线性相关性由蒙特卡洛模拟显示。由于统计平均,最大串电流随并联和串联连接的单元数的平方根而减小,这导致相关标准偏差与并联和串联连接的单元数的平方根相关。

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