Enhanced few-shot state-of-health estimation for lithium-ion batteries via Masked Autoencoder

Accurately estimating the state-of-health (SOH) of lithium-ion batteries (LIBs) is crucial for optimizing performance, ensuring operational safety, and enabling predictive maintenance in battery management systems. With the widespread adoption of LIBs, a large amount of field data has been generated...

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Bibliographic Details

Published in:	Energy (Oxford) Vol. 335; p. 138263
Main Authors:	Shen, Yifan, Guo, Dongxu, Wang, Yu, Chen, Jianguo, Liu, Xuyang, Han, Xuebing, Zheng, Yuejiu, Ouyang, Minggao
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 30.10.2025
Subjects:	Electric vehicle data Lithium-ion battery Masked Autoencoder Semi-supervised learning SOH estimation SOH estimation Lithium-ion battery Electric vehicle data Semi-supervised learning Masked Autoencoder
ISSN:	0360-5442
Online Access:	Get full text
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