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Multisource domain adaptation mutual information network for small sample state-of-health prediction of lithium-ion batteries.

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Title: Multisource domain adaptation mutual information network for small sample state-of-health prediction of lithium-ion batteries.
Authors: Han, Bin1, Yang, Yanli1, yyl070805@163.com
Source: Measurement Science & Technology; 2026, Vol. 37 Issue 9, p1-21, 21p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 192160293
AccessLevel: 2
PubType: Academic Journal
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  Data: Multisource domain adaptation mutual information network for small sample state-of-health prediction of lithium-ion batteries.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192160293
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        Value: 10.1088/1361-6501/ae39f9
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      – Code: eng
        Text: English
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        PageCount: 21
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      – TitleFull: Multisource domain adaptation mutual information network for small sample state-of-health prediction of lithium-ion batteries.
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            NameFull: Han, Bin
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              Text: 2026
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              Y: 2026
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