Investigation of denoising autoencoder-based deep learning model in noise-riding experimental data for reliable state-of-charge estimation

State-of-charge (SOC) estimation plays a crucial role in battery management systems to ensure safe and reliable operation. However, SOC estimation remains challenging due to the dynamic nature of battery systems and varying ambient conditions. Data-driven methods have emerged as effective tools for...

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Vydané v:	Journal of energy storage Ročník 72; s. 108421
Hlavní autori:	Hong, Seonri, Kang, Moses, Kim, Jonghoon, Baek, Jongbok
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 25.11.2023
Predmet:	Data-driven method Denoising autoencoder Lithium-ion batteries Long short-term memory State-of-charge estimation Lithium-ion batteries Long short-term memory State-of-charge estimation Denoising autoencoder Data-driven method
ISSN:	2352-152X, 2352-1538
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