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Current distribution of parallel-connected cells in dependence of cell resistance, capacity and number of parallel cells

机译:并联电池的电流分布取决于电池电阻,并联电池的容量和数量

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摘要

Parallel-connection of lithium-ion cells is of increasing research interest, caused by the commercialization of large-scale applications and their needed amount of energy. However, correlations of cell parameters on the current distribution of parallel-connected cells are not given in present literature. This paper provides an insight into the influence of cell resistance and capacity on the current distribution, open circuit voltage (OCV) differences and the corresponding time constants for parallel-connected cells. Cell currents and OCV differences are evaluated via an analytical model for two parallel-connected cells. The system can be described by four characteristic values, what is mathematically shown. The analytical solution and characteristic values are extended to n parallel-connected (np) cells by a transformation of the np equivalent circuit model (ECM) to a corresponding 2p ECM. The models are used in order to investigate the effects of Gaussian distributed cell parameters on the current distribution by Monte Carlo simulations. Thereby, the influence of the number of parallel-connected cells and the product of cell resistance and capacity is examined. Simulations show increasing cell currents with increasing number of parallel-connected cells and an accelerated SoC balance within the logical cell by decreasing product of cell resistance and capacity.
机译:锂离子电池的并联连接由于大规模应用的商业化及其所需的能量而引起了越来越多的研究兴趣。然而,在当前文献中没有给出电池参数与并联电池的电流分布的相关性。本文提供了有关电池电阻和容量对电流分布,开路电压(OCV)差异以及并联电池的相应时间常数的影响的见解。电池电流和OCV差异通过两个并联电池的分析模型进行评估。该系统可以用数学上显示的四个特征值来描述。通过将np等效电路模型(ECM)转换为相应的2p ECM,可以将分析解决方案和特征值扩展到n个并联(np)单元。使用这些模型是为了通过蒙特卡洛模拟研究高斯分布单元参数对电流分布的影响。从而,检查了并联电池的数量以及电池电阻和容量的乘积的影响。仿真显示,随着并联电池数量的增加,电池电流也随之增加,并且逻辑电池中的SoC平衡通过降低电池电阻和容量的乘积而加速了SoC平衡。

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