Optimal Stator and Rotor Slots Design of Induction Motors for Electric Vehicles Using Opposition-Based Jellyfish Search Optimization

This study presents a hybrid optimization technique to optimize stator and rotor slots of induction motor (IM) design for electric vehicle (EV) applications. The existing meta-heuristic optimization techniques for the IM design, such as genetic algorithm (GA) and particle swarm optimization (PSO), s...

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Bibliografische Detailangaben

Hauptverfasser:	Ahamed Ibrahim Sithy Juhaniya, Ahmad Asrul Ibrahim, Muhammad Ammirrul Atiqi Mohd Zainuri, Mohd Asyraf Zulkifley, Muhammad Akmal Remli
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-12-01
Schriftenreihe:	Machines
Schlagworte:	induction motor jellyfish search optimization multi-objective optimal stator and rotor slots design opposition-based learning
Online-Zugang:	https://www.mdpi.com/2075-1702/10/12/1217
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