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Electric vehicle parameter identification and state of charge estimation of Li-ion​ batteries: Hybrid WSO-HDLNN method.

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Title: Electric vehicle parameter identification and state of charge estimation of Li-ion​ batteries: Hybrid WSO-HDLNN method.
Authors: Varatharajalu, Kandasamy1, kandasamy.v.eee@kct.ac.in, Manoharan, Mathankumar2, mathankumarbit@gmail.com, Palanichamy, Thamil Selvi C3, cpthamil.selvi72@gmail.com, Subramani, Sivaranjani4, sivaranjanis@skcet.ac.in
Source: ISA Transactions; Nov2023, Vol. 142, p347-359, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 173563408
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=173563408
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.isatra.2023.07.029
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 347
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      – TitleFull: Electric vehicle parameter identification and state of charge estimation of Li-ion​ batteries: Hybrid WSO-HDLNN method.
        Type: main
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          Name:
            NameFull: Varatharajalu, Kandasamy
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            NameFull: Manoharan, Mathankumar
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            NameFull: Palanichamy, Thamil Selvi C
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            NameFull: Subramani, Sivaranjani
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            – D: 01
              M: 11
              Text: Nov2023
              Type: published
              Y: 2023
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              Value: 142
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