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FEM and CFD thermal modeling of an axial-flux induction machine with experimental validation
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0001-9211-2170
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems.ORCID iD: 0000-0001-9630-5869
Chair of Thermodynamics of Mobile Energy Conversion Systems, RWTH Aachen University, Aachen, Germany.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0002-0744-2552
2024 (English)In: Case Studies in Thermal Engineering, E-ISSN 2214-157X, Vol. 53, article id 103879Article in journal (Refereed) Published
Abstract [en]

Axial-flux electrical machines are ideal candidates as in-wheel motors for electrical vehicles (EVs). Due to their characteristics of high power density and compact structure, thermal management is vital for them. Lowering the temperature of the stator windings can protect the insulation material from rapid degradation and reduce the extra copper losses by decreasing their electrical resistance. Contrary to the widely reported axial-flux permanent magnet synchronous machines, thermal modeling methods of axial-flux induction machines are rarely seen in previous literature. Hence, the present work aims at investigating their thermal response based on both the finite element method (FEM) and computational fluid dynamics (CFD) techniques. In addition, a test rig is built to validate the computed results of these two thermal models with the experimental measurement. The CFD conjugate heat transfer analysis is found to be more accurate than the FEM thermal analysis in predicting the temperature distribution of different components in the machine and the temperature rise of the airflow, with lower than 5 ∘C average errors deviating from the corresponding measured data at three rotation speeds. Additionally, the CFD simulation is able to capture the backflow occurring near the outlets of the casing that has been found during the experiments.

Place, publisher, year, edition, pages
Elsevier BV , 2024. Vol. 53, article id 103879
Keywords [en]
Axial-flux induction machine, CFD, Conjugate heat transfer, FEM, Temperature measurement, Thermal modeling
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-341943DOI: 10.1016/j.csite.2023.103879ISI: 001139639800001Scopus ID: 2-s2.0-85180365752OAI: oai:DiVA.org:kth-341943DiVA, id: diva2:1824781
Note

Correction in DOI 10.1016/j.csite.2024.104530

QC 20240108

Available from: 2024-01-08 Created: 2024-01-08 Last updated: 2024-12-06Bibliographically approved

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Zhao, AnWang, HuanyuLeksell, Mats

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