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Analytical Charged Capacity Expression of Lithium-ion Battery for SOH Estimation Based on Constant Current Charging Curves

机译:基于恒流充电曲线的锂离子电池SOH估算荷电分析容量表达式

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Accurate evaluation of the state of health (SOH) plays an important role in battery management systems. The incremental capacity (IC) analysis method is applied to analyze battery aging mechanisms and estimate SOH. The charged capacity can be obtained by integration of the IC curve. To obtain the analytical charged capacity expression based on the IC curve, the fitting results of the IC curve by Gaussian functions and Lorentz functions are compared. The comparison results show that the Lorentz functions are more suitable than Gaussian functions on fitting IC curve and estimating charged capacity because of its relatively simpler integration form. Therefore, the analytical charged capacity equation is proposed by the integration of the Lorentz functions. The experimental results demonstrate that the capacity estimation error is lower than 1.5%.
机译:健康状态(SOH)的准确评估在电池管理系统中起着重要作用。增量容量(IC)分析方法用于分析电池老化机制并估算SOH。可以通过积分IC曲线获得充电容量。为了获得基于IC曲线的分析充电容量表达式,比较了高斯函数和Lorentz函数对IC曲线的拟合结果。比较结果表明,由于Lorentz函数的积分形式相对简单,因此在拟合IC曲线和估计充电容量方面比高斯函数更合适。因此,通过对洛伦兹函数的积分,提出了解析带电容量方程。实验结果表明,容量估计误差小于1.5%。

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