Mitja Garmut, mag. inž., izr. prof. dr. Martin Petrun, univ. dipl. inž., oba Univerza v Mariboru, Fakulteta za elektrotehniko, računalništvo in informatiko

Ventil 31 (2025) 5 / Review articles / Technical article – 1.04

DOI: https://doi.org/10.5545/Ventil-31-2025-5.10

Abstract:

This paper introduces a structured approach to the multi-objective optimization of electrical machines. The process covers the key steps: defining the problem, identifying the most relevant key performance indicators and constraints, setting the design space, formulating objective functions, and then modeling and evaluating the results. Using a permanent magnet synchronous machine as an example, the study shows that it is possible to achieve up to 9% higher output power or reduce the overall cost by as much as 18% compared with the reference design. These results highlight the value of the proposed method and provide a solid basis for choosing the most suitable design for a given application.

Keywords:
electrical machine, key performance indicators (KPIs), multi-objective optimization, Pareto front

Copyright (c) 2025 Mitja Garmut, Martin Petrun

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