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

机译:电池平衡方案的串联锂离子电池的充电状态和剩余电量估算

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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:提出了串联锂离子电池中每个电池的荷电状态和剩余电量估计算法。 SOC和剩余电量信息是诊断电池间差异的指标;因此,该算法可应用于电池均衡控制器中基于SOC或基于电荷的均衡。与基于电压的平衡相比,SOC和剩余电荷信息可提高平衡电路的性能,但会增加计算复杂度,这是实现过程中的绊脚石。在这项工作中,使用具有估计电流均衡器的简单无电流传感器SOC估计算法来实现上述目的。为了检查特性并验证所提出方法的可行性,将恒定电流放电/充电曲线应用于串联连接的电池组(十二个2.6Ah锂离子电池)。实验结果表明,该算法适用于SOC和剩余电量为基础的平衡控制器,具有较高的估计精度。

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