Electrical machine initial design and computational tool
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Automotive engineering (MPAUT), MSc
Publicerad
2025
Författare
Ulvekar, Akash Chandrakant
Shenoy, Koushik Damodara
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Electric and hybrid electric vehicles widely use Interior Permanent Magnet Synchronous Machines (IPMSM) due to their high torque and power densities. The initial design phase of these electrical machines are critical as they affect the performance, efficiency and costeffectiveness.
This thesis explores the development and application of a Python-based computational tool for the initial design of IPMSMs, aiming to achieve optimal machine performance while reducing dependency on iterative Finite Element Method (FEM) solutions. The scope of the research was to develop a robust framework that bridges theoretical design principles with practical computational methods, aiding innovation in electrical
machine engineering.
An analytical approach was adopted for the preliminary design, focusing on the relationship between machine sizing and performance parameters. Preliminary designs were derived using geometrical constraints and mathematical equations. These designs were validated through Magnetic Equivalent Circuit (MEC) models and sensitivity analysis, with results further corroborated by FEM simulations.
The study is centered on two case studies: a MotorCAD template and a journal model. The Python tool demonstrated high accuracy, with sizing parameters closely matching those from MotorCAD and the journal model. Sensitivity analysis was conducted to evaluate the impact of variations in air-gap thickness, magnet width, pole-arc to pole-pitch ratio, and magnet strength on machine performance. The results showcased consistent trends between the Python tool and MotorCAD, emphasizing the tool’s reliability and
robustness.
The computational tool made it computationally efficient by enabling rapid prototyping and reduced iteration time. This work highlights how the tool can efficiently and accurately design IPMSM, providing a solid foundation for future advancements in electrical machine engineering.
Beskrivning
Ämne/nyckelord
analytical approach , finite element method , IPMSM , machine sizing , magnetic equivalent circuit , MotorCAD , python-based computational tool