Research on the state of health estimation of lithium-ion batteries for energy storage based on XGB-AKF method

Research on the state of health estimation of lithium-ion batteries for energy storage based on XGB-AKF method

With the advantages of high energy density, long cycle life and high stability, lithium-ion batteries have been used in a large number of fields such as electric vehicles and grid scale energy storage. To ensure the safe and reliable operation of battery systems, it is important to make an accurate...

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Bibliographic Details
Main Authors: Song Xu, Fang-Lin Zha, Bo-Wen Huang, Bing Yu, Hai-Bo Huang, Ting Zhou, Wen-Qi Mao, Jie-Jun Wu, Jia-Qiang Wei, Shang-Kun Gong, Tao Wan, Xin-Yu Duan, Shang-Feng Xiong
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Energy Research
Subjects:
li-ion battery
SOH
machine learning
XGBoost
kalman filter
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.999676/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2022.999676/full

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