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Impacts of cell topology, parameter distributions and current profile on the usable power and energy of lithium-ion batteries

机译:细胞拓扑,参数分布和电流配置对锂离子电池可用功率和能量的影响

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In order to meet the energy and power requirements of large-scale battery applications, cells have to be connected in serial and parallel configuration. For the purpose of understanding the assembly of parallel-connected cells is referred to as logical cell. Caused by current and State of Charge (SoC) inhomogeneities between the serial and parallel cells, the usable power and energy will differ from the installed values. These differences are affected by the cell topology, cell parameter distributions and the current profile. The influences of these parameters are investigated by Monte Carlo simulations with Gaussian distributed cell parameters. The $5sigma$ values of the usable power decrease almost logarithmically with increasing number of serial and parallel cells. The power is primarily limited by the logical cell with the highest current distribution, which in turn depends principally on the differences in cell parameters. In a battery the maximum difference of cell parameters statistically increase with the number of connected cells. Two further effects influence the usable energy. The Open Circuit Voltage (OCV) bending leads to a SoC balancing at the end of discharge. And the standard deviation of the logical cell capacity distribution decreases by square root with increasing number of parallel cells. These effetcs are leading to a higher usable energy by connecting the cells in parallel compared to a corresponding serial-connection, especially for discharging. Furthermore with increasing standard deviation of the cells resistance and capacity distributions a linear decrease of the usable power and energy is found.
机译:为了满足大规模电池应用的能量和功率要求,必须以串行和并行配置连接电池。为了理解并行连接的细胞的组装被称为逻辑单元。由串行和平行电池之间的电流和充电状态(SOC)不均匀引起的,可用功率和能量与安装值不同。这些差异受到细胞拓扑,细胞参数分布和当前配置文件的影响。通过与高斯分布式电池参数的Monte Carlo模拟研究了这些参数的影响。这 $ 5 sigma $ 使用越来越多的串行和并行细胞数几乎对数值降低了可用功率的值。功率主要受具有最高电流分布的逻辑单元的限制,这又主要取决于单元参数的差异。在电池中,单元参数的最大差异与连接电池的数量统计上增加。两种进一步的效果会影响可用的能量。开路电压(OCV)弯曲导致放电结束时的SOC平衡。并且逻辑电池容量分布的标准偏差随着平方根的越来越多的平行细胞而减小。与相应的串联连接相比,这些EFFETC通过将细胞与相应的串联连接并联连接,尤其是用于放电来导致更高的能量。此外,随着电池电阻的标准偏差,并且能力分布在找到可用功率和能量的线性降低。

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