Multi-Physics Design and Optimization of Electric Motors for a Traction Application
| dc.contributor.advisor | Bilgin, Berker | |
| dc.contributor.advisor | Al-Ani, Dhafar | |
| dc.contributor.author | Yilmaz, Batuhan Sirri | |
| dc.contributor.department | Electrical and Computer Engineering | en_US |
| dc.date.accessioned | 2025-06-26T19:59:15Z | |
| dc.date.available | 2025-06-26T19:59:15Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | This thesis presents a comprehensive study on the multiphysics design and optimization of electric motors specifically tailored for traction applications in electric vehicles (EVs). The research aims to investigate various motor types, including Permanent Magnet Synchronous Motor (PMSM), Permanent Magnet-assisted Synchronous Reluctance Motor (PMa-SynRM), Induction Motor (IM) with copper rotor bars, and Electrically Excited Synchronous Motor (EESM). The purpose of this research is to identify and propose optimal electric motor configurations through a multiphysics optimization workflow. This approach incorporates finite element analysis (FEA), sensitivity analysis, and genetic algorithm-based optimization. By applying this methodology, the performance, efficiency, and suitability of the motors are systematically evaluated for an EV traction application. The proposed optimization methods aim to achieve significant improvements in critical performance parameters, including electromagnetic efficiency, torque density, mechanical robustness, thermal management, and Sound Power Level (SPL). The impact of pulse-width-modulation switching has also been considered in the analysis. | en_US |
| dc.description.degree | Master of Applied Science (MASc) | en_US |
| dc.description.degreetype | Thesis | en_US |
| dc.description.layabstract | This thesis explores advanced design and optimization strategies for electric motors used in electric vehicles (EVs). It evaluates various electric motor types, including permanent magnet synchronous motor, induction motor, electrically excited synchronous motor, synchronous reluctance motor, and permanent magnet assisted synchronous motor. The research develops a systematic approach that combines multiphysics modeling and optimization techniques to enhance electric motor performance. The key goals are to improve energy efficiency, increase torque density, and reduce motor noise and vibrations. By comparing different electric motor designs, this study identifies suitable configurations for an EV application. It contributes valuable insights and methodologies to support the ongoing development of cleaner and more efficient transportation technologies, ultimately helping to reduce environmental impacts and design challenges. | en_US |
| dc.identifier.uri | http://hdl.handle.net/11375/31873 | |
| dc.language.iso | en | en_US |
| dc.subject | Electric motor design, multi-physic optimization, traction | en_US |
| dc.title | Multi-Physics Design and Optimization of Electric Motors for a Traction Application | en_US |
| dc.type | Thesis | en_US |