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

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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Bibliographic Details
Main Authors: Ahamed Ibrahim Sithy Juhaniya, Ahmad Asrul Ibrahim, Muhammad Ammirrul Atiqi Mohd Zainuri, Mohd Asyraf Zulkifley, Muhammad Akmal Remli
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Machines
Subjects:
induction motor
jellyfish search optimization
multi-objective
optimal stator and rotor slots design
opposition-based learning
Online Access:https://www.mdpi.com/2075-1702/10/12/1217

Internet

https://www.mdpi.com/2075-1702/10/12/1217

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