Analytical modelling technique of oil-cooled electric machine using empirical correlation and LPTN

Yew Chuan Chong, Saeed Jahangirian, Husain Adam, Melanie Michon, Chuan Liu, Zeyuan Xu, David Gerada, Chris Gerada

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The demand of high power dense machines has pushed machine performance to the limit. This leads to the challenges of keeping the temperature of active components below their thermal limits to ensure machine safety and reliability. For automotive applications, oil cooling is well-known to be an effective cooling method when compared to water cooling, which has been used for a decade. This paper proposes a computationally efficient thermal modelling technique that enables fast and accurate evaluation of machine performance with oil cooling based on Lumped Parameter Thermal Network (LPTN). The convective heat transfer coefficients that used to model the oil cooling effect are computed from empirical correlations developed specifically for electric machines for automotive applications. The proposed solution enables thermal model to be considered in multiphysics design and optimization of an electric machine, drive cycle performance analysis, and electric drive unit system design and optimization.

Original languageEnglish
Title of host publication2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350398991
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023 - San Francisco, United States
Duration: 15 May 202318 May 2023

Publication series

Name2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023

Conference

Conference2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023
Country/TerritoryUnited States
CitySan Francisco
Period15/05/2318/05/23

Keywords

  • Electric machine
  • hairpin winding
  • multiphysics design
  • oil cooling
  • thermal modelling

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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