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An efficient feature search approach for robust state of health estimation of Li-ion battery

; ; ; ; ; ; ;

In
Green energy and intelligent transportation 5(3), Seiten/Artikel-Nr.:100339

Impressum[Amsterdam] : Elsevier B.V.

Umfang[1]-14

ISSN2773-1537

Online
DOI: 10.1016/j.geits.2025.100339

DOI: 10.18154/RWTH-2026-02148
URL: https://publications.rwth-aachen.de/record/1029222/files/1029222.pdf

Einrichtungen

  1. Lehrstuhl für Elektrochemische Energiewandlung und Speichersystemtechnik (618310)


Thematische Einordnung (Klassifikation)
DDC: 624

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105029076191
WOS Core Collection: WOS:001684939900001

Interne Identnummern
RWTH-2026-02148
Datensatz-ID: 1029222

Beteiligte Länder
Germany, Peoples R China

Lizenzstatus der Zeitschrift

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Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Emerging Sources Citation Index ; Fees ; SCOPUS ; Web of Science Core Collection
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618310
 Record created 2026-02-23, last modified 2026-02-24
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