Improved analytical model of induction machine for digital twin application

Victor Mukherjee, Tatjana Martinovski, Aron Szucs, Jan Westerlund, Anouar Belahcen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

This paper presents a saturable analytical model of induction machines, with a systematic approach for segregating the electromagnetic losses. The proposed model is based on the equivalent circuit of the machine, which has been augmented to account for different loss components. The segregation of different loss components in stator and rotor have been improved by considering the loading, skin effect and field-weakening operation. The required parameters of the model are identified from a well-defined set of finite element analysis of the machine. The proposed model and the identification methodology have been tested on two different induction machines. In both cases, the finite element computations are validated with laboratory measurements, and the analytical model is validated against the finite element model. The results show that the proposed model is more accurate than the conventional ones from the literature, and thus it can be used as a component while building a digital twin of the induction machine, and inserted into a virtual simulation software for real-time thermal management for example.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Electrical Machines, ICEM 2020
PublisherIEEE
Pages183-189
Number of pages7
ISBN (Electronic)9781728199450
DOIs
Publication statusPublished - 23 Aug 2020
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Electrical Machines - Virtual, Online
Duration: 23 Aug 202026 Aug 2020
Conference number: 25

Publication series

NameProceedings (International Conference on Electrical Machines)
PublisherIEEE
ISSN (Print)2381-4802
ISSN (Electronic)2473-2087

Conference

ConferenceInternational Conference on Electrical Machines
Abbreviated titleICEM
CityVirtual, Online
Period23/08/202026/08/2020
OtherVirtual Conference

Keywords

  • Digital twin
  • Equivalent circuit
  • Induction machine
  • Iron loss
  • Magnetic saturation
  • Skin effect

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