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...

Celý popis

Podrobná bibliografia

Vydané v:	Renewable & sustainable energy reviews Ročník 218; s. 115803
Hlavní autori:	Takyi-Aninakwa, Paul, Wang, Shunli, Liu, Guangchen, Fernandez, Carlos, Kang, Wenbin, Song, Yingze
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.08.2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!