Date of Award
4-26-2024
Publication Type
Thesis
Degree Name
M.A.Sc.
Department
Electrical and Computer Engineering
Keywords
Electric Motor;Electric Vehicle;Induction Motor;LPTN;PMSM;Thermal Analysis
Supervisor
Narayan Kar
Supervisor
Glenn Byczynski
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
Cooling in electric motors is crucial to prevent overheating, ensuring optimal performance and longevity by maintaining a safe operating temperature range. Efficient cooling safeguards against potential damage to components and helps sustain the motor's overall reliability. This thesis generates a non-restrictive Lumped Parameter Thermal Network for simulating housing jacket cooling for induction and permanent magnet synchronous motors. The objective is to design a model that can input preliminary measurements in the design stage of motor development, with its anticipated loss data. From this, the model will simulate the heat output generated, in which various cooling options in the housing jacket can be examined. The model aims to solve this situation at a significantly shorter computational time than a traditional computational fluid dynamic model would. For this, approximations and lumping are taken at various sizes and components to minimize the error without overbearing the simulation time. This model will be validated through experimental testing of an induction motor with platinum resistance thermometers for accuracy. After the experimental validation of the model, various changes were made to the housing jacket, simulating alternatives for the cooling solution. The model is suitable for the design stage of motor development, yet further cooling solutions should be reviewed and implemented into the model, which are discussed.
Recommended Citation
Bourgault, Alexandre, "LPTN Modeling of Electric Motor Cooling Solutions for EV Applications" (2024). Electronic Theses and Dissertations. 9418.
https://scholar.uwindsor.ca/etd/9418