考虑储能工况和电流突变检测的磷酸铁锂电池SOC-SOH估计方法

IF 2.6 4区 化学 Q3 CHEMISTRY, PHYSICAL
Ionics Pub Date : 2025-06-17 DOI:10.1007/s11581-025-06478-9
Jun Xie, Xiaojian Ma, Yutong Zhang, Chunxin Wang, Qing Xie
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引用次数: 0

摘要

利用磷酸铁锂电池SOC-SOH的估算方法,考虑电池储能工作条件的特点,对储能电站中受强电流波动和电池老化干扰的磷酸铁锂电池进行高精度状态估算。首先,选取基于时间序列的储能电站实际运行数据,提取特征电流,构建适合实验平台的测试条件;然后,通过离线混合脉冲功率特性(HPPC)测试获得二阶RC模型的参数。在此基础上,确定遗忘因子递归最小二乘(FFRLS)算法的初始值,实现恒流和交流工况下的精确在线参数辨识。同时,基于核密度估计(KDE)和高斯-勒让德数值积分法计算突变检测阈值,快速识别电流突变,有效区分恒流阶段和交流阶段。最后,利用恒流阶段的数据估算电池的SOH,并将其用于后续交流阶段的SOC估算。结果表明,结合KDE提高参数辨识精度的方法明显优于单纯使用HPPC或基于固定初值的FFRLS方法,SOC- soh联合估计效果明显优于单一SOC估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SOC-SOH estimation method for lithium iron phosphate battery considering energy storage operating conditions and current mutation detection

A method to estimate the SOC-SOH of lithium iron phosphate battery, with consideration of batteries’ characteristic working conditions of energy storage, was utilized to estimate the high-precision state of LiFePO4 battery with the interference of the strong current fluctuation and battery aging in the energy storage power station. First, the actual operation data of the energy storage power station based on time sequence was selected to extract characteristic currents and construct testing conditions suitable for the experimental platform. Then, parameters of the second-order RC model were obtained through an offline hybrid pulse power characteristic (HPPC) test. On this basis, the initial values of the forgetting factor recursive least squares (FFRLS) algorithm were determined to realize precise online parameter identification in the conditions of constant current and alternating current. At the same time, the threshold of the mutation test was calculated based on kernel density estimation (KDE) and Gauss-Legendre numerical integration method to quickly identify the current mutation and effectively differentiate the constant current stage and the alternating current stage. At last, the data of the constant current stage were used to estimate the SOH of the battery, which was used for the subsequent SOC estimation in the alternating current stage. The results showed that the method of improving parameter identification precision by incorporating KDE was significantly better than the method of just using HPPC or the FFRLS method based on fixed initial values, and the SOC-SOH joint estimation effect was significantly better than the single estimation of SOC.

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来源期刊
Ionics
Ionics 化学-电化学
CiteScore
5.30
自引率
7.10%
发文量
427
审稿时长
2.2 months
期刊介绍: Ionics is publishing original results in the fields of science and technology of ionic motion. This includes theoretical, experimental and practical work on electrolytes, electrode, ionic/electronic interfaces, ionic transport aspects of corrosion, galvanic cells, e.g. for thermodynamic and kinetic studies, batteries, fuel cells, sensors and electrochromics. Fast solid ionic conductors are presently providing new opportunities in view of several advantages, in addition to conventional liquid electrolytes.
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