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Physics-Guided Deep Learning for Battery Future Capacity and Remaining Useful Life Predictions

; ; ; ;

In
IEEE transactions on transportation electrification : ITTEBP 12(3), Seiten/Artikel-Nr.:4846-4860

ImpressumNew York, N.Y. : IEEE

Umfang1-15

ISSN2332-7782

Online
DOI: 10.1109/TTE.2026.3665605


Einrichtungen

  1. Institut für Stromrichtertechnik und Elektrische Antriebe (614500)
  2. Juniorprofessur für Artificial Intelligence and Digitalization for Batteries (619830)


Thematische Einordnung (Klassifikation)
DDC: 530


Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105030708205
WOS Core Collection: WOS:001779897100039
OpenAlex: W7129523967

Interne Identnummern
RWTH-2026-03644
Datensatz-ID: 1032601

Beteiligte Länder
Germany, Hong Kong, Peoples R China, Singapore

Lizenzstatus der Zeitschrift

 GO

Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Electrical Engineering and Information Technology (Fac.6)
Public records
Publications database
614500
 Record created 2026-03-27, last modified 2026-09-11
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