The Research of Power Battery SOC Estimation Based on Adaptive Kalman Filter Algorithm

被引：1
|
作者：
Yu, Wei-bo [1 ]
Yang, Ting-ting [1 ]
Feng, Cui-yuan [1 ]
Li, Hong-jun [1 ]
机构：
[1] Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130012, Peoples R China
来源：
ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING II, PTS 1-3 | 2013年 / 433-435卷
关键词：
modeling; adaptive kalman filtering algorithm; SOC estimation;
D O I：
10.4028/www.scientific.net/AMM.433-435.754
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Taking the lithium iron phosphate power battery as the research object, through analysis on characteristics of the battery, this paper chooses the improved second-order RC model as the model of battery whose complexity is moderate and it can better reflect the battery dynamic and static characteristics. Then by pulse discharge experiments and with improved recursive least squares algorithm to identify model parameters online, and puts forward up the adaptive kalman filtering algorithm to estimate battery SOC. The results show that the adaptive kalman filter algorithm can effectively improve battery SOC estimation precision.
引用
收藏
页码：754 / 759
页数：6
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