Review on State Estimation and Remaining Useful Life Prediction Methods for Lithium-ion Battery
Energy Storage|更新时间:2025-06-06
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Review on State Estimation and Remaining Useful Life Prediction Methods for Lithium-ion Battery
“In the field of battery management, researchers have proposed various methods to accurately estimate the state of charge, battery health, and predict the remaining life of lithium-ion batteries, providing solutions for extending battery life and ensuring battery system reliability.”
Power Generation TechnologyVol. 44, Issue 1, Pages: 1-17(2023)
作者机构:
清华大学电机工程与应用电子技术系,北京市 海淀区 100084
作者简介:
基金信息:
National Key R&D Program of China(2018YFC1902200);National Natural Science Foundation of China(52037006)
ZHAO Jiahui,TIAN Liting,CHENG Lin.Review on State Estimation and Remaining Useful Life Prediction Methods for Lithium-ion Battery[J].Power Generation Technology,2023,44(01):1-17.
ZHAO Jiahui,TIAN Liting,CHENG Lin.Review on State Estimation and Remaining Useful Life Prediction Methods for Lithium-ion Battery[J].Power Generation Technology,2023,44(01):1-17. DOI: 10.12096/j.2096-4528.pgt.22082.
Review on State Estimation and Remaining Useful Life Prediction Methods for Lithium-ion Battery
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