Optimization and Characteristics Analysis of High Torque Density 12/8 Switched Reluctance Motor Using Metaheuristic Gray Wolf Optimization Algorithm

Abstract

In this paper, the optimization and characteristics analysis of a three-phase 12/8 switched reluctance motor (SRM) based on a Grey Wolf Optimizer (GWO) for electric vehicles (EVs) application is presented. This research aims to enhance the output torque density of the proposed SRM. Finite element method (FEM) was used to analyze the characteristics and optimization process of the proposed motor. The proposed metaheuristic GWO combines numerous objective functions and design constraints with different weight factors. Maximum flux density, current density, and motor volume are selected as the optimization constraints, which play a significant role in the optimization process. GWO performs optimization for each iteration and sends it to FEM software to analyze the performance before starting another iteration until the optimized value is found. Simulations are employed to understand the characteristics of the proposed motor. Finally, the optimized prototype motor is manufactured and performance is verified by experiment. It is shown that the torque can be increased by 120% for the same outer volume, by using the proposed method.

Metaheuristic Parameter Identification of Motors Using Dynamic Response Relations

“…They are widely used for their versatility and adaptability to multiple problems [8]. Works such as [23][24][25] have explored the analysis of parametric studies of motors with metaheuristic algorithms.…”

“…Our work Cuckoo Search Algorithm, Gray Wolf Optimizer, Jaya Dynamic relations used as search limiter [15] Cuckoo Search Pa adjustment based on fuzzy logic [23] Cuckoo Search Use of steady-state [26] Genetic Algorithms Geared DC motor optimal estimation [24] Smart Collaborative Performance Quantify the contribution of the solutions [25] Gray Wolf Optimizer Torque estimation [26] Genetic Algorithms Optimal estimation [28] Dynamic Encoding Algorithm for Searches Control and fault detection [33] Whale Optimization Algorithm Use of WOA as parameter estimator…”

Load Profile and Load Flow Analysis for a Grid System with Electric Vehicles Using a Hybrid Optimization Algorithm

“…This is necessary in order to achieve these two goals. Currently, a number of different optimization strategies for the positioning of electric vehicles within the electrical transmission network are being developed, with the intention of reducing the amount of power that is lost and enhancing the voltage profile [5].…”

Investigation of Torque Performance and Flux Reversal Reduction of a Three-Phase 12/8 Switched Reluctance Motor Based on Winding Arrangement

“…To reduce the manufacturing cost, research work in [3] introduced the optimization algorithm for SRM design to achieve a maximum torque at the minimum mass of the motor. The recent optimization design technique for finding the maximum torque density of 12/8 SRM was revealed in [4]. This algorithm, based on the Grey Wolf Optimizer (GWO), can increase torque by 120% at the same outer value as the original design.…”