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State-of-charge and remaining charge estimation of series-connected lithium-ion batteries for cell balancing scheme

机译:用于细胞平衡方案串联锂离子电池的充电状态和剩余电荷估计

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This paper proposes state-of-charge (SOC) and remaining charge estimation algorithm of each cell in series-connected lithium-ion batteries. SOC and remaining charge information are indicators for diagnosing cell-to-cell variation; thus, the proposed algorithm can be applied to SOC- or charge-based balancing in cell balancing controller. Compared to voltage-based balancing, SOC and remaining charge information improve the performance of balancing circuit but increase computational complexity which is a stumbling block in implementation. In this work, a simple current sensor-less SOC estimation algorithm with estimated current equalizer is used to achieve aforementioned object. To check the characteristics and validate the feasibility of the proposed method, a constant current discharging/charging profile is applied to a series-connected battery pack (twelve 2.6Ah Li-ion batteries). The experimental results show its applicability to SOC- and remaining charge-based balancing controller with high estimation accuracy.
机译:本文提出了串联连接的锂离子电池中的每个电池的充电状态(SOC)和剩余电荷估计算法。 SOC和剩余充电信息是用于诊断细胞到细胞变化的指示;因此,所提出的算法可以应用于小区平衡控制器中的基于SoC或电荷的平衡。与基于电压的平衡相比,SOC和剩余电荷信息提高了平衡电路的性能,而是提高计算复杂性,这是实现中的绊脚石。在这项工作中,使用具有估计的电流均衡器的简单电流传感器SOC估计算法来实现上述对象。为了检查所提出的方法的特性并验证该方法的可行性,将恒定电流放电/充电轮廓应用于串联电池组(12个2.6Ah离子电池)。实验结果表明其对具有高估计精度的SoC和剩余的基于电荷的平衡控制器的适用性。

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