Optimization of magnetic coupling mechanism of dynamic wireless power transfer based on NSGA-II algorithm
Abstract Optimization of magnetic coupling mechanism is an important way to improve the performance of a dynamic wireless power transfer system. Inspired by the common radial magnetic core for circular coils, a new radial magnetic core for rectangular coils is adopt. Through simulation and experimen...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-03-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-55512-9 |
| _version_ | 1797274654500454400 |
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| author | Weihang Tang Long Jing Wanyu Cao Wenzheng Xu Xuezhi Wu Hongbin Liao |
| author_facet | Weihang Tang Long Jing Wanyu Cao Wenzheng Xu Xuezhi Wu Hongbin Liao |
| author_sort | Weihang Tang |
| collection | DOAJ |
| description | Abstract Optimization of magnetic coupling mechanism is an important way to improve the performance of a dynamic wireless power transfer system. Inspired by the common radial magnetic core for circular coils, a new radial magnetic core for rectangular coils is adopt. Through simulation and experimental results comparison, which has higher coupling coefficient with the same core area. Combined with the magnetic circuit analysis, the magnetic flux leakage and conduction regions are divided into magnetic fluxes with different shapes, which magnetic resistances are calculated respectively. Based on the simulation results, parameter distributions of fluxes under different conditions are obtained. Therefore, the expressions of the coupling coefficient k of the adopt magnetic cores and coils and the design parameters of coils and cores are obtained. Taking the maximum k and the minimum rate of change of coupling coefficient with 100 mm displacement as the optimization objectives, a multi-objective optimization solution is carried out by using NSGA-II algorithm. The coil optimization scheme is obtained and verified by experiments. k and Δk are 0.442 and 6.8% respectively, and the errors are less than 5%. In the optimization process, there is no simulation model constructed. The optimization modeling combined of magnetic field segmentation method and parameter fitting has lower complexity and calculation time of optimization. |
| first_indexed | 2024-03-07T15:01:24Z |
| format | Article |
| id | doaj.art-7659b751ac4a4ffd88658ff78142fa4e |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-07T15:01:24Z |
| publishDate | 2024-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-7659b751ac4a4ffd88658ff78142fa4e2024-03-05T19:07:54ZengNature PortfolioScientific Reports2045-23222024-03-0114111810.1038/s41598-024-55512-9Optimization of magnetic coupling mechanism of dynamic wireless power transfer based on NSGA-II algorithmWeihang Tang0Long Jing1Wanyu Cao2Wenzheng Xu3Xuezhi Wu4Hongbin Liao5Beijing Jiaotong UniversityBeijing Jiaotong UniversityChina Southern Power GridBeijing Jiaotong UniversityBeijing Jiaotong UniversityBeijing Jiaotong UniversityAbstract Optimization of magnetic coupling mechanism is an important way to improve the performance of a dynamic wireless power transfer system. Inspired by the common radial magnetic core for circular coils, a new radial magnetic core for rectangular coils is adopt. Through simulation and experimental results comparison, which has higher coupling coefficient with the same core area. Combined with the magnetic circuit analysis, the magnetic flux leakage and conduction regions are divided into magnetic fluxes with different shapes, which magnetic resistances are calculated respectively. Based on the simulation results, parameter distributions of fluxes under different conditions are obtained. Therefore, the expressions of the coupling coefficient k of the adopt magnetic cores and coils and the design parameters of coils and cores are obtained. Taking the maximum k and the minimum rate of change of coupling coefficient with 100 mm displacement as the optimization objectives, a multi-objective optimization solution is carried out by using NSGA-II algorithm. The coil optimization scheme is obtained and verified by experiments. k and Δk are 0.442 and 6.8% respectively, and the errors are less than 5%. In the optimization process, there is no simulation model constructed. The optimization modeling combined of magnetic field segmentation method and parameter fitting has lower complexity and calculation time of optimization.https://doi.org/10.1038/s41598-024-55512-9 |
| spellingShingle | Weihang Tang Long Jing Wanyu Cao Wenzheng Xu Xuezhi Wu Hongbin Liao Optimization of magnetic coupling mechanism of dynamic wireless power transfer based on NSGA-II algorithm Scientific Reports |
| title | Optimization of magnetic coupling mechanism of dynamic wireless power transfer based on NSGA-II algorithm |
| title_full | Optimization of magnetic coupling mechanism of dynamic wireless power transfer based on NSGA-II algorithm |
| title_fullStr | Optimization of magnetic coupling mechanism of dynamic wireless power transfer based on NSGA-II algorithm |
| title_full_unstemmed | Optimization of magnetic coupling mechanism of dynamic wireless power transfer based on NSGA-II algorithm |
| title_short | Optimization of magnetic coupling mechanism of dynamic wireless power transfer based on NSGA-II algorithm |
| title_sort | optimization of magnetic coupling mechanism of dynamic wireless power transfer based on nsga ii algorithm |
| url | https://doi.org/10.1038/s41598-024-55512-9 |
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