ProADD: Proactive battery anomaly dual detection leveraging denoising convolutional autoencoder and incremental voltage analysis

The use of lithium-ion batteries is increasing fast in many fields such as electric vehicles (EVs) and energy storage system (ESS). However, the number of accidents caused by thermal runaway of lithium-ion batteries is also increasing. Hence, it is critical to diagnose lithium-ion batteries proactiv...

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Veröffentlicht in:	Applied energy Jg. 373; S. 123757
Hauptverfasser:	Jeon, Jihun, Cheon, Hojin, Jung, Byungil, Kim, Hongseok
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2024
Schlagworte:	Anomaly detection batteries Denoising autoencoder electric potential difference electrochemistry Energy storage system guidelines Incremental voltage analysis Lithium-ion battery support vector machines Lithium-ion battery Denoising autoencoder Energy storage system Anomaly detection Incremental voltage analysis
ISSN:	0306-2619
Online-Zugang:	Volltext
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