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Thermal Modeling of an Electric Vehicle Soft Magnetic Composite Permanent Magnet Synchronous Motor

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Thermal Modeling of an Electric Vehicle Soft Magnetic Composite Permanent Magnet Synchronous Motor

Mercan, Muhammet Talha (2023) Thermal Modeling of an Electric Vehicle Soft Magnetic Composite Permanent Magnet Synchronous Motor. Masters thesis, Concordia University.

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Abstract

Today, with the increasing impacts of the climate change, sustainable solutions are being searched for in many areas. Demand is increasing in the fields of energy, health, housing and transportation to meet the needs of developing economies and growing populations. In these areas, studies are being carried out to reduce the use of fossil fuels and for renewable solutions. Various solutions are being worked on for the transportation sector, which is the second biggest factor in terms of carbon emissions. One of the most important steps is electric vehicles. Electric vehicle density is increasing day by day both to reduce dependence on fossil fuels and for an environmental solution.
One of the most important steps of this evolution in transportation is the types of motors used in vehicles. The replacement of internal combustion engines by electric motors has brought about various research topics. Today, Permanent Magnet Synchronous Motors have become one of the most preferred models with the many advantages they provide for electric vehicles. With its high power density, high efficiency, ability to reach high speeds and compact size, it has become a suitable motor for electric vehicles. In addition to all these benefits, there are also some challenges that need to be solved. Thermal design is crucial to avoid the negative effects of temperature rise for high power generating motors in small sizes. In order to perform all these analyses, it is necessary to design thermal modeling to determine the temperature limits and design the cooling system.
In this thesis, the thermal equivalent models of two different PMSMs were analyzed and proposed by using the Lumped Parameter Network Method to predict temperature rise during operation. In addition, the motors were tested with real time experiments and supported by simulation results. The thermal models analyzed for the two different motors were analyzed to compare the temperature differences and to analyze the geometry in terms of temperature distribution and suitability.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (Masters)
Authors:Mercan, Muhammet Talha
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Electrical and Computer Engineering
Date:November 2023
Thesis Supervisor(s):Pillay, Pragasen
Keywords:Thermal Modeling, Permanent Magnet Synchronous Motor, Electric Vehicle
ID Code:993167
Deposited By: Muhammet Talha Mercan
Deposited On:05 Jun 2024 15:20
Last Modified:05 Jun 2024 15:20

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