A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems

With the gradual transformation of energy industries around the world, the trend of industrial reform led by clean energy has become increasingly apparent. As a critical link in the new energy industry chain, lithium-ion (Li-ion) battery energy storage system plays an irreplaceable role. Accurate es...

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Bibliographic Details
Published in:	Ionics Vol. 30; no. 10; pp. 5903 - 5927
Main Authors:	Tao, Junjie, Wang, Shunli, Cao, Wen, Takyi-Aninakwa, Paul, Fernandez, Carlos, Guerrero, Josep M.
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2024 Springer Nature B.V
Subjects:	Accuracy Algorithms Batteries Chemistry Chemistry and Materials Science Clean energy Clean technology Condensed Matter Physics Deep learning Electric vehicles Electrochemistry Energy Storage Energy utilization Lithium-ion batteries Machine learning Methods Neural networks Optical and Electronic Materials Renewable and Green Energy Review State estimation State of charge Trends Deep learning Kalman filtering Li-ion battery state estimation Equivalent circuit model Parameter identification Based on data-driven algorithms
ISSN:	0947-7047, 1862-0760
Online Access:	Get full text
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