Deep learning framework designed for high-performance lithium-ion batteries state monitoring

Accurate state of charge (SOC) estimation is crucial for ensuring the safety of batteries, especially in real-time battery management system (BMS) applications. Deep learning methods have become increasingly popular, driving significant advancements in battery research across various fields. However...

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Veröffentlicht in:	Renewable & sustainable energy reviews Jg. 218; S. 115803
Hauptverfasser:	Takyi-Aninakwa, Paul, Wang, Shunli, Liu, Guangchen, Fernandez, Carlos, Kang, Wenbin, Song, Yingze
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.08.2025
Schlagworte:	Deep-stacked denoising autoencoder Lithium-ion batteries Long short-term memory Secondary scale feature extraction State of charge estimation Lithium-ion batteries Long short-term memory State of charge estimation Deep-stacked denoising autoencoder Secondary scale feature extraction
ISSN:	1364-0321
Online-Zugang:	Volltext
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