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Title:

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

Document type:
Buch
Author(s):
Bicer, E. A.; Schirmer P.; Schreivogel P.; Schrag G.
Editor:
Mesago PCIM GmbH
Faculty:
Fakultät für Elektrotechnik und Informationstechnik
Chair:
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...     »
Keywords:
Thermic; Thermal; TMS; EV; Electric Vehicles; Vehicles; Thermal Condition; CFD; FEM; NN; Thermic Energy; Bicer; Schirmer; Schreivogel; Schrag
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Publisher:
VDE VERLAG GMBH
Publisher address:
International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2024
Pages:
9
Year:
2024
Year / month:
2024-06
Date of publication:
01.07.2024
Quarter:
2. Quartal
Other Issue::
None
Covered by:
Scopus
E-ISBN:
9783800762620
Bookseries ISSN:
2191-3358
Language:
en
WWW:
Link
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