THE SOC ESTIMATION OF THE LEAD-ACID BATTERY USING KALMAN FILTER

被引：1
|
作者：
Jeon, Yongho [1 ]
机构：
[1] JungWon Univ, Dept Aviat Maintenance, 85 Munmu Ro, Chungbuk 28024, South Korea
来源：
JOURNAL OF APPLIED MATHEMATICS & INFORMATICS | 2021年 / 39卷 / 5-6期
关键词：
Lead-acid battery; Kalman filter; battery charge rate; state of charge; STATE-OF-CHARGE;
D O I：
10.14317/jami.2021.851
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In general, secondary batteries are widely used as an electric energy source. Among them, the state of energy storage of mobile devices is very important information. As a method of estimating a state, there is a method of estimating the state by integrating the current according to an energy storage state of a battery, and a method of designing a state estimator by measuring a voltage and estimating a charge amount based on a battery model. In this study, we designed the state estimator using an extended Kalman filter to increase the precision of the state estimation of the charge amount by including the error of the system model and having the robustness to the noise.
引用
收藏
页码：851 / 858
页数：8
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