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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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/177302 |