Validation and Parametric Investigations of an Internal Permanent Magnet Motor Using a Lumped Parameter Thermal Model: Article No. EP-21-1052

Sebastien Sequeiara, Kevin Bennion, J. Cousineau, Sreekant Narumanchi, Gilberto Moreno, Satish Kumar, Yogendra Joshi

Research output: Contribution to journalArticlepeer-review

15 Scopus Citations

Abstract

One of the key challenges for the electric vehicle industry is to develop high-power-density electric motors. Achieving higher power density requires efficient heat removal from inside the motor. In order to improve thermal management, a multiphysics modeling framework that is able to accurately predict the behavior of the motor, while being computationally efficient, is essential. This paper first presents a detailed validation of a lumped parameter thermal network (LPTN) model of an Internal Permanent Magnet synchronous motor within the commercially available motor-cad modeling environment. The validation is based on temperature comparison with experimental data and with more detailed finite element analysis (FEA). All critical input parameters of the LPTN are considered in detail for each layer of the stator, especially the contact resistances between the impregnation, liner, laminations, and housing. Finally, a sensitivity analysis for each of the critical input parameters is provided. A maximum difference of 4% - for the highest temperature in the slot-winding and the end-winding - was found between the LPTN and the experimental data. Comparing the results from the LPTN and the FEA model, the maximum difference was 2% for the highest temperature in the slot-winding and end-winding. As for the LPTN sensitivity analysis, the thermal parameter with the highest sensitivity was found to be the liner-to-lamination contact resistance.
Original languageAmerican English
Number of pages9
JournalJournal of Electronic Packaging, Transactions of the ASME
Volume144
Issue number2
DOIs
StatePublished - 2022

NREL Publication Number

  • NREL/JA-5400-78672

Keywords

  • contact resistances
  • electric motor
  • FEA
  • lumped parameter network
  • motor cooling
  • sensitivity analysis
  • thermal management

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