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AC Impedance Based Online State-of-Charge Estimation for Li-ion Battery

机译:基于交流阻抗的锂离子电池在线荷电状态估计

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摘要

The accurate estimation of state-of-charge (SOC) is one of the most important core functions of a battery management system (BMS), which provides the essential information needed for battery management, monitoring, and status analysis. In this paper, an AC impedance based method is proposed for the accurate estimation of the SOC of a Li-ion battery. First, a 1kHz sinusoidal ripple was injected into a 18650 Li-ion battery and the AC impedance values were measured at 0% to 100% charging status at 10% increments. The correlation between SOC and AC impedance was then determined by linear regression. When it comes to practical application, a sinusoidal ripple is simply superposed into the charge/discharge source. The AC voltage and current of the battery is used to calculate the AC impedance, and this allows a fairly accurate estimation of the battery SOC. Final validation using a power analyzer and actual measurement showed the average error of SOC estimation to be within 4%. This encouraging result showed the proposed method can provide a simple and practical solution for online estimation of the SOC of Li-ion batteries.
机译:充电状态(SOC)的准确估算是电池管理系统(BMS)的最重要的核心功能之一,它提供了电池管理,监视和状态分析所需的基本信息。在本文中,提出了一种基于交流阻抗的方法来准确估算锂离子电池的SOC。首先,将1kHz正弦纹波注入18650锂离子电池中,并以10%的增量在0%至100%充电状态下测量AC阻抗值。然后通过线性回归确定SOC和交流阻抗之间的相关性。在实际应用中,正弦纹波只是叠加到充电/放电源中。电池的交流电压和电流用于计算交流阻抗,因此可以相当准确地估算电池SOC。使用功率分析仪进行的最终验证和实际测量表明,SOC估计值的平均误差在4%以内。这一令人鼓舞的结果表明,该方法可以为在线估算锂离子电池的SOC提供简单而实用的解决方案。

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