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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Vydané v:	Applied energy Ročník 373; s. 123757
Hlavní autori:	Jeon, Jihun, Cheon, Hojin, Jung, Byungil, Kim, Hongseok
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.11.2024
Predmet:	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
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