Numerical Multi-Phase Thermal Analysis to Determine End-Winding Heat Transfer Coefficient of an Interior Permanent Magnet Motor

Permanent magnet synchronous motors (PMSMs) are widely used in electrified vehicles due to their high-power density, high torque capability, high energy efficiency over a wide range of speed within a compact design. Thermal analysis is of primary importance for the design of an electric machine. Cooling mechanisms influence the machine's electromagnetic performance, durability, and reliability. Computational Fluid Dynamics (CFD) and Lumped Parameter Thermal Network (LPTN) are the most common techniques for analyzing thermal performance. Lumped parameter thermal networks (LPTNs) have proven to reduce the simulation time compared to computational fluid dynamics (CFD). However, implementing CFD simulations to calculate the heat transfer coefficients improves the accuracy of LPTN results. In this paper, a multi-phase oil splash CFD modeling was performed to determine the end-winding heat transfer coefficient using Ansys CFX, considering the rotational effect of the motor. The volume of fluid (VOF) and multiple reference frame (MRF) techniques are implemented.

Authors

Institutions

Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/itec63604.2025.11098000
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Multi-Phase Thermal Analysis to Determine End-Winding Heat Transfer Coefficient of an Interior Permanent Magnet Motor

Reemon Z. Haddad, Berker Bilgin, Ali Emadi, Dhafar Al-Ani et al.
Electric Motor Design and Analysis
article

Numerical Multi-Phase Thermal Analysis to Determine End-Winding Heat Transfer Coefficient of an Interior Permanent Magnet Motor

Reemon Z. Haddad, Berker Bilgin, Ali Emadi, Dhafar Al-Ani, Hams Hefny
article en

Abstract

Permanent magnet synchronous motors (PMSMs) are widely used in electrified vehicles due to their high-power density, high torque capability, high energy efficiency over a wide range of speed within a compact design. Thermal analysis is of primary importance for the design of an electric machine. Cooling mechanisms influence the machine's electromagnetic performance, durability, and reliability. Computational Fluid Dynamics (CFD) and Lumped Parameter Thermal Network (LPTN) are the most common techniques for analyzing thermal performance. Lumped parameter thermal networks (LPTNs) have proven to reduce the simulation time compared to computational fluid dynamics (CFD). However, implementing CFD simulations to calculate the heat transfer coefficients improves the accuracy of LPTN results. In this paper, a multi-phase oil splash CFD modeling was performed to determine the end-winding heat transfer coefficient using Ansys CFX, considering the rotational effect of the motor. The volume of fluid (VOF) and multiple reference frame (MRF) techniques are implemented.

McMaster University (CA)
Affordable and clean energy
Openalex Percentile: Top 82%
Electric Motor Design and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.