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Demystifying data-driven approaches for battery electric transportation: Challenges and future directions

; ; ; ; ; ; ; ;

In
eTransportation 26, Seiten/Artikel-Nr.:100501

ImpressumAmsterdam [u.a.] : Elsevier

Umfang[1]-11

ISSN2590-1168

Online
DOI: 10.1016/j.etran.2025.100501


Einrichtungen

  1. Institut für Stromrichtertechnik und Elektrische Antriebe (614500)
  2. Lehrstuhl für Elektrochemische Energiewandlung und Speichersystemtechnik (618310)
  3. Juniorprofessur für Artificial Intelligence and Digitalization for Batteries (619830)
  4. Center for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (080070)


Thematische Einordnung (Klassifikation)
DDC: 400


Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105020869627
WOS Core Collection: WOS:001606625800001
OpenAlex: W4415219823

Interne Identnummern
RWTH-2025-09008
Datensatz-ID: 1020457

Beteiligte Länder
Germany, USA

Lizenzstatus der Zeitschrift

 GO

Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Essential Science Indicators ; NationallizenzNationallizenz ; 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)
Central and Other Institutions
Public records
Publications database
614500
618310
080070
 Record created 2025-10-28, last modified 2026-09-14
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