Novel method to Estimate SoH of Lithium-Ion Batteries

被引：3
|
作者：
Jain, Palash [1 ]
Saha, Sudipto [1 ]
Sankaranarayanan, V [1 ]
机构：
[1] Natl Inst Technol, Elect & Elect Engn, Tiruchirappalli, Tamil Nadu, India
来源：
2021 INNOVATIONS IN ENERGY MANAGEMENT AND RENEWABLE RESOURCES(IEMRE 2021) | 2021年
关键词：
SoC; SoH; Electric Vehicle; Battery; State Observer; Regression model; CHARGE ESTIMATION; STATE;
D O I：
10.1109/IEMRE52042.2021.9386881
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
State of Health (SoH) estimation is one of the most important functions of the Battery Management System as it ensures safe and reliable operation of Lithium-Ion battery. SoH estimation is done by developing a regression model between SoH and Health parameter, by studying the charging dataset of the battery throughout it's working life (upto 60 % SoH). The health parameter is calculated as the charging time between two selected voltage ranges instead of taking the entire voltage range. The selection of the voltage range for SoH prediction is done based on the goodness of fit of the regression model. The training dataset consists of health parameter evaluated at regular intervals of SoH. The regression line is tested with a wide range of test data and the accuracy is found to be over 99%.
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页数：5
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