Intelligent Aging Estimation Method for Lead-Acid Battery

被引：8
|
作者：
Sun, Yu-Hua [1 ]
Jou, Hurng-Liahng [1 ]
Wu, Jinn-Chang [2 ]
机构：
[1] Natl Kaohsiung Univ Appl Sci, Dept Elect Engn, 415 Jiangong Rd, Kaohsiung 80778, Taiwan
[2] Natl Kaohsiung Marine Univ, Dept Microelect Engn, Kaohsiung, Taiwan
来源：
ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1, PROCEEDINGS | 2008年
关键词：
lead-acid battery; discharge; Sample Entropy;
D O I：
10.1109/ISDA.2008.17
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an intelligent aging estimation method based on Sample Entropy (SampEn) is proposed for the lead-acid batteries serially connected in a string. This method can prevent the potential battery failure and guarantee the battery availability. Since SampEn can quantify the regularity of a data sequence, it can serve as an indicator for the aging or degradation of the lead-acid battery. The salient feature of the proposed method is that aging of the individual battery is estimated automatically at the end of each discharge cycle by only measuring individual battery voltage in a string of batteries, so that no complicated measurement is required To verify the proposed SampEn based aging estimation method, aging experiments for lead-acid batteries are developed. The experimental results show that the proposed intelligent aging estimation method provides the expected results.
引用
收藏
页码：251 / +
页数：3
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