A SOH estimation method based on ICA peaks on temperature-robust and aging mechanism analysis under high temperature

The lithium-ion battery has been spotlighted in various applications for its good characteristics such as high energy density, high power density, long life cycle. However, the performance and the life of the battery are affected by temperature and operating conditions and are too complex. An accura...

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Bibliographic Details
Main Authors: Park, Seongyun, Lee, Pyeongyeon, Kim, Deokhan, Hong, Sunggoen, Na, Woonki, Kim, Jonghoon
Format: Conference Proceeding
Language:English
Subjects:
Aging mechanism
Density measurement
Estimation
Incremental capacity analysis
Linear regression
Linearity
Lithium-ion batteries
Lithium-ion battery
Power system measurements
State-of-health
Temperature
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Summary:The lithium-ion battery has been spotlighted in various applications for its good characteristics such as high energy density, high power density, long life cycle. However, the performance and the life of the battery are affected by temperature and operating conditions and are too complex. An accurate capacity estimation method is required for the reliable operation of the battery. In this paper, the different aging mechanism of lithium-ion battery is analyzed under room temperature and high-temperature conditions by incremental capacity analysis (ICA). Also, the ICA peaks are analyzed by the Pearson correlation with battery capacity to estimate temperature-robust state-of-health (SOH) estimation with a linear regression model. The experiment was performed to validate the proposed method under room temperature and high-temperature conditions. Finally, we demonstrated temperature-robust SOH estimation using the charging profile until the end-of-life (EOL) by linearity function.
ISSN:2470-6647
DOI:10.1109/APEC42165.2021.9487032