An improved genetic algorithm for hybrid magnetic core design in electric vehicle wireless charging applications

An improved genetic algorithm for hybrid magnetic core design in electric vehicle wireless charging applications

This paper utilizes an improved non-dominated genetic algorithm (NSGA-II) to optimize the hybrid core distribution in wireless charging systems for electric vehicles. By combining the advantages of different core material physical properties and the optimized genetic algorithm, the weight of the cor...

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Bibliographic Details
Main Author: Ma, Tianyu
Other Authors: Tang Yi
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Engineering
Evolutionary algorithms
Wireless power transfer
Nanocrystalline
Planar magnetic cores
Online Access:https://hdl.handle.net/10356/177302
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/177302

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