串联锂离子超级电容模块的充电状态估计

Xiaojun Zhang, Xiaoyu Li, Jindong Tian, Yong Tian, Yuanzhi Liang
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引用次数: 0

摘要

本文提出了一种串联锂离子超级电容模块的充电状态估计方法。采用等效电路模型对锂离子超级电容器模块进行建模。基于扩展卡尔曼滤波对电池的电荷状态进行估计。考虑到模块内单元的不一致性,提出了一种基于加权因子策略的模块级SOC估计方法。实验结果表明,所提出的超级电容模块SOC估计方法误差小于4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State of Charge Estimation for a Series Connected Lithium Ion Supercapacitor Module
In this paper, a state of charge estimation method for a series connected lithium ion supercapacitor module is carried out. Lithium ion supercapacitor module is modeled by an equivalent circuit model. The state of charge of the cell is estimated based on the extended Kalman filter. Considering the inconsistency of the cells in the module, a module level SOC estimation method is proposed based on a weighting factor strategy. According to the experimental results, the error of the supercapacitor module SOC estimation method is less than 4%.
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