Department of Electrical and Electronics Engineering Government Polytechnic Kushalnagar Karnataka, India.
Review Article
World Journal of Advanced Research and Reviews, 2021, 10(02), 282-292
Article DOI: 10.30574/wjarr.2021.10.2.0198
Received on 02 May 2021; revised on 27 May 2021; accepted on 30 May 2021
Electric motors are fundamental components in industrial, commercial, and automotive applications, driving a wide range of machinery and transportation systems. As global energy demands rise and sustainability becomes a key priority, optimizing electric motor design is crucial for enhancing efficiency, reducing energy consumption, and lowering operational costs. This paper explores cutting-edge advancements in high-efficiency electric motor design, focusing on critical aspects such as material selection, loss minimization techniques, and advanced control strategies. The study delves into the role of high-performance materials, including soft magnetic composites and rare-earth magnets, in improving motor efficiency. Additionally, various loss reduction approaches—such as minimizing core losses, copper losses, and mechanical losses—are discussed in detail. To further enhance motor performance, this paper presents optimization techniques, including finite element analysis (FEA) for precise electromagnetic modeling and machine learning-based design improvements for predictive and adaptive optimization. The integration of intelligent control strategies, including sensorless vector control and real-time efficiency monitoring, is also explored to enhance dynamic performance and reliability. The analysis is supported by comprehensive comparative evaluations, utilizing figures, tables, and bar charts to illustrate efficiency gains, thermal performance, and overall system improvements. The findings of this study contribute to the development of next-generation electric motors that align with global energy efficiency standards and emerging industrial needs.
Electric Motors; High-Efficiency Design; Electromagnetic Optimization; Material Selection; Loss Minimization; Finite Element Analysis (FEA); Machine Learning
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Manu K P. Design and optimization of high-efficiency electric motors. World Journal of Advanced Research and Reviews, 2021, 10(2), 282-292. Article DOI: https://doi.org/10.30574/wjarr.2021.10.2.0198