摘要
锂电池组中每个单体电池之间的状态差异会随着电池的使用周期变得严重,可能导致电池组提前报废或发生危险。目前广泛使用单体电池的荷电状态(SOC)来判断电池差异性,研究在锂电池动态二阶Thevenin等效电路模型上应用平方根无迹卡尔曼滤波算法(SRUKF)进行锂电池SOC的实时估计,并将估算结果与其他SOC估算方法进行比较,结果表明在变参数模型上应用SRUKF估算电池SOC的方法具有较强实用性、较快收敛性和较高准确性。
The state difference between each single battery in the lithium battery pack will become serious with the battery life cycle, which may lead to the battery pack scrapped or dangerous ahead of time. At present, the state of charge(SOC) of the cell is widely used to judge the difference of the battery. In the research, the square root unscented Kalman filter algorithm(SRUKF) is applied to the dynamic second-order Thevenin equivalent circuit model of lithium battery for realtime estimation of state of charge for lithium battery. Besides, compared with other SOC estimation methods, the result shows that SRUKF estimation method of battery SOC has stronger practicability, faster convergence and higher accuracy on the variable parameter model application.
作者
严利民
卢迪
Yan Limin(Microelectronics Research and Development Center,Shanghai University,Shanghai 200444)
出处
《电动工具》
2020年第1期1-4,共4页
Electric Tool
基金
国家自然科学基金(61674100).
