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

机译:并联电池电池电流分布的分析模型

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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:锂离子电池和串的并联连接是越来越多的研究兴趣,主要是由于大规模应用的能量和功率需求,例如,电动车(EV)。对于电池系统,对这些并行配置内的电流分布的精确估计对于最佳操作和系统设计至关重要。本文提供了一种分析模型,用于并联连接电池的电流分布和串。确定八个特征值,完全描述这些系统。这些特征值用于研究电池电阻和容量分布对最大电流的影响,开路电压(OCV)和平行连接的电池和弦内的电荷状态(SOC)差异。发现,并行连接的电池内的最大细胞电流和SOC差异随着并行和串行连接的小区的数量而几乎增加。这些值与电池电阻和容量相关标准偏差的线性相关性由蒙特卡罗模拟示出。由于统计平均,通过平行和串行连接的单元的数量通过平方根和串行连接的单元的数量来减小最大弦电流,这导致相关标准偏差与并联和串行连接的单元的数量的平方根相关。

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