火力与指挥控制Issue(4)：137-140,4.
基于模糊卡尔曼滤波的锂电池SOC估算方法
Research on Estimation of Lithium Battery SOC Based on Fuzzy Adaptive Kalman Filter
摘要
Abstract
Based on the analysis of factors affecting the SOC and traditional SOC algorithm,the method to estimate stalling state and charge-discharge state of battery respectively is applied to predict SOC of lithium-ion. Especially in charge and discharge state,fuzzy adaptive Kalman filter is applied in the estimation. A state space model of a lithium-ion battery derived from Thevenin model is proposed, which has the advantage of simplicity and could be easily implemented. The simulation shows that this method can increase the battery SOC estimation accuracy.关键词
锂离子电池/荷电状态/模糊卡尔曼滤波/电池模型Key words
lithium-ion/state of charge/fuzzy adaptive Kalman filter/battery model分类
信息技术与安全科学引用本文复制引用
安志胜,孙志毅,何秋生..基于模糊卡尔曼滤波的锂电池SOC估算方法[J].火力与指挥控制,2014,(4):137-140,4.基金项目
山西省高校科技基金资助项目 （）
