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Sensor Fusion-based Cell-to-Cell Inhomogeneity Reflection for Accurate SOC Estimation of The Serial/Parallel Battery Pack

机译:基于传感器融合的单元间非均匀性反射,可准确估算串联/并联电池组的SOC

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This paper proposes the novel battery pack modeling considering the voltage imbalance for estimating the state of charge (SOC). The characteristics of the cell in the battery pack are different in resistance and capacity due to the manufacturing process and temperature unbalance. Because of these effects, the deviation of the cell-to-cell’s voltage and capacity is intensified as the charging/discharging is repeated. In the proposed method, the sensor fusion method is used to update the characteristics of cell in battery pack and overcome the inaccurate measurement values of sensor. Since the battery management system (BMS) usually measures the voltage of the cell in battery pack, the proposed algorithm is constructed by using measurement fusion which fuses the sensing value (voltage).
机译:本文提出了一种新的电池组模型,该模型考虑了电压不平衡以估计充电状态(SOC)。由于制造过程和温度不平衡,电池组中电池的特性在电阻和容量方面有所不同。由于这些影响,当重复进行充电/放电时,电池间电压和容量的偏差会加剧。在该方法中,传感器融合方法用于更新电池组中电池的特性并克服传感器的测量值不准确的问题。由于电池管理系统(BMS)通常测量电池组中电池的电压,因此所提出的算法是通过使用融合检测值(电压)的测量融合来构造的。

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