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Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model.

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Bibliographic Details
Title: Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model.
Authors: Hannan, M. A.1 (AUTHOR) hannan@uniten.edu.my, How, D. N. T.1 (AUTHOR) dickson@uniten.edu.my, Lipu, M. S. Hossain2 (AUTHOR), Mansor, M.1 (AUTHOR), Ker, Pin Jern3 (AUTHOR), Dong, Z. Y.4 (AUTHOR), Sahari, K. S. M.5 (AUTHOR), Tiong, S. K.3 (AUTHOR), Muttaqi, K. M.6 (AUTHOR), Mahlia, T. M. Indra3,7 (AUTHOR), Blaabjerg, F.8 (AUTHOR)
Source: Scientific Reports. 10/1/2021, Vol. 11 Issue 1, p1-13. 13p.
Database: Academic Search Ultimate
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Description
ISSN:20452322
DOI:10.1038/s41598-021-98915-8