Benutzer: Gast  Login

Titel:

Neural Network Assisted Numerical Simulation Benchmarking for Electric Vehicle Thermal Management System

Dokumenttyp:
Buch
Autor(en):
Bicer, E. A.; Schirmer P.; Schreivogel P.; Schrag G.
Herausgeber:
Mesago PCIM GmbH
Fakultät:
Fakultät für Elektrotechnik und Informationstechnik
Lehrstuhl:
Professur für Mikrosensorik und -aktorik Prof. Dr. Schrag
Abstract:
Thermal Management System (TMS) in Electric Vehicles (EVs) is tasked with providing optimal thermal conditions for the EV components while keeping the passengers comfortable. An accurate TMS model prevents overengineered components during the early design phase, but high-fidelity models like CFD or FEM become computationally infeasible when simulating the whole system. Neural Networks (NNs) provide accuracy without heavy computational loads, however, their extrapolation capabilities can be limit...     »
Stichworte:
Thermic; Thermal; TMS; EV; Electric Vehicles; Vehicles; Thermal Condition; CFD; FEM; NN; Thermic Energy; Bicer; Schirmer; Schreivogel; Schrag
Dewey Dezimalklassifikation::
620 Ingenieurwissenschaften
Verlag / Institution:
VDE VERLAG GMBH
Verlagsort:
International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2024
Seiten/Umfang:
9
Jahr:
2024
Jahr / Monat:
2024-06
Publikationsdatum:
01.07.2024
Quartal:
2. Quartal
Andere Ausgaben:
None
Nachgewiesen in:
Scopus
E-ISBN:
9783800762620
Serien-ISSN:
2191-3358
Sprache:
en
WWW:
Link
 BibTeX