Gast ::
Electric machine co-optimization for EV drive technology development: Integrating Bayesian optimization and nonlinear model predictive control
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In
eTransportation 23, Seiten/Artikel-Nr.:100392
2025
Online
DOI: 10.18154/RWTH-2025-01094
DOI: 10.1016/j.etran.2024.100392
URL: https://publications.rwth-aachen.de/record/1003520/files/1003520.pdf
Einrichtungen
Projekte
- OAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF) (021000-OAPKF)
- ESCALATE - Powering EU Net Zero Future by Escalating Zero Emission HDVs and Logistic Intelligence (101096598) (101096598)
Thematische Einordnung (Klassifikation)
DDC: 400
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85214795268
WOS Core Collection: WOS:001399759100001
Interne Identnummern
RWTH-2025-01094
Datensatz-ID: 1003520
Beteiligte Länder
Germany
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; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Essential Science Indicators ; Nationallizenz
; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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