Modern Electrical Machine Design Optimization: Techniques, Trends, and Best Practices

TLDR

Recent advances in mathematics, computer science, and material engineering have expanded electrical machine design optimization to include thermal, rotor dynamics, power electronics, control, and manufacturing tolerances, creating multifaceted optimization scenarios. This paper serves as a reference for academics and practicing engineers on recent developments and future trends in electrical machine design optimization. The authors define optimization scenarios for geometry and goal setting, present a materials‑based perspective and solution techniques, and illustrate the approach with literature examples and two detailed scenarios.

Abstract

Disruptive innovations in electrical machine design optimization are observed in this paper, motivated by emerging trends. Improvements in mathematics and computer science enable more detailed optimization scenarios that cover evermore aspects of physics. In the past, electrical machine design was equivalent to investigating the electromagnetic performance. Nowadays, thermal, rotor dynamics, power electronics, and control aspects are included. The material and engineering science have introduced new dimensions on the optimization process and impact of manufacturing, and unavoidable tolerances should be considered. Consequently, multifaceted scenarios are analyzed and improvements in numerous fields take effect. This paper is a reference for both academics and practicing engineers regarding recent developments and future trends. It comprises the definition of optimization scenarios regarding geometry specification and goal setting. Moreover, a materials-based perspective and techniques for solving optimization problems are included. Finally, a collection of examples from the literature is presented and two particular scenarios are illustrated in detail.