A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic Algorithm
This paper presents a systematic methodology for the optimal design of wireless power transfer (WPT) systems. To design a WPT for a specific application, the values of coil geometric parameters and the number of resonators should be chosen such that an objective function is maximized while satisfyin...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/2/383 |
| _version_ | 1828152592704733184 |
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| author | Anahita Bagheri Abbas Erfanian Adib Abrishamifar |
| author_facet | Anahita Bagheri Abbas Erfanian Adib Abrishamifar |
| author_sort | Anahita Bagheri |
| collection | DOAJ |
| description | This paper presents a systematic methodology for the optimal design of wireless power transfer (WPT) systems. To design a WPT for a specific application, the values of coil geometric parameters and the number of resonators should be chosen such that an objective function is maximized while satisfying all the design constraints. The conventional methodologies, which are based on cyclic coordinate optimization, are not comprehensive and efficient methods. This paper presents a design methodology based on the genetic algorithm (GA). The optimization method has been applied to designing different WPTs with series and parallel connections of load and different design constraints. Moreover, the number of resonators is considered as the design parameters. In addition, WPTs with parallel and series connections of load are compared from different aspects. The results of calculation, simulation and measurements demonstrate that the 2-coil WPT can be optimized to achieve maximum efficiency compared to the previously reported 2-coil and multi-coil WPTs. In a fabricated 2-coil configuration, a power transfer efficiency (PTE) of 82.7% and a power delivered to the load (PDL) of 173.89 mW are achieved. |
| first_indexed | 2024-04-11T22:13:24Z |
| format | Article |
| id | doaj.art-2a7ca164b11a44c2997bbf8a7788c93e |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T22:13:24Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2a7ca164b11a44c2997bbf8a7788c93e2022-12-22T04:00:29ZengMDPI AGEnergies1996-10732020-01-0113238310.3390/en13020383en13020383A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic AlgorithmAnahita Bagheri0Abbas Erfanian1Adib Abrishamifar2School of Electrical Engineering, Iran University of Science and Technology (IUST), Iran Neural Technology Research Centre, Tehran 15614, IranSchool of Electrical Engineering, Iran University of Science and Technology (IUST), Iran Neural Technology Research Centre, Tehran 15614, IranSchool of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran 15614, IranThis paper presents a systematic methodology for the optimal design of wireless power transfer (WPT) systems. To design a WPT for a specific application, the values of coil geometric parameters and the number of resonators should be chosen such that an objective function is maximized while satisfying all the design constraints. The conventional methodologies, which are based on cyclic coordinate optimization, are not comprehensive and efficient methods. This paper presents a design methodology based on the genetic algorithm (GA). The optimization method has been applied to designing different WPTs with series and parallel connections of load and different design constraints. Moreover, the number of resonators is considered as the design parameters. In addition, WPTs with parallel and series connections of load are compared from different aspects. The results of calculation, simulation and measurements demonstrate that the 2-coil WPT can be optimized to achieve maximum efficiency compared to the previously reported 2-coil and multi-coil WPTs. In a fabricated 2-coil configuration, a power transfer efficiency (PTE) of 82.7% and a power delivered to the load (PDL) of 173.89 mW are achieved.https://www.mdpi.com/1996-1073/13/2/383genetic algorithm (ga)inductive linkpower delivered to the load (pdl)power transmission efficiency (pte)printed spiral coil (psc)wireless power transfer (wpt) system |
| spellingShingle | Anahita Bagheri Abbas Erfanian Adib Abrishamifar A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic Algorithm Energies genetic algorithm (ga) inductive link power delivered to the load (pdl) power transmission efficiency (pte) printed spiral coil (psc) wireless power transfer (wpt) system |
| title | A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic Algorithm |
| title_full | A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic Algorithm |
| title_fullStr | A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic Algorithm |
| title_full_unstemmed | A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic Algorithm |
| title_short | A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic Algorithm |
| title_sort | systematic methodology for optimal design of wireless power transfer system using genetic algorithm |
| topic | genetic algorithm (ga) inductive link power delivered to the load (pdl) power transmission efficiency (pte) printed spiral coil (psc) wireless power transfer (wpt) system |
| url | https://www.mdpi.com/1996-1073/13/2/383 |
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