| Presentation | 2024-03-11 Design Methodology for Load-Independent WPT Systems Using Machine Learning Naoki Fukuda, Yutaro Komiyama, Wenqi Zhu, Yinchen Xie, Ayano Komanaka, Akihiro Konishi, Kien Nguyen, Hiroo Sekiya, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a design method for load-independent wireless power transfer (WPT) systems using machine learning. In the proposed design, machine learning is employed to determine the component values in the circuit model considering the parasitic components. This paper also presents an evaluation function for designing the WPT system with the class-EF inverter to achieve load-independent operation. Optimization results reveal that, solutions achieving higher precision output voltage regulation and efficiency compared to analytical load-independent designs are found. The load-independent WPT system designed using the proposed method demonstrates a close correlation between experimental waveforms and those derived from numerical computations, thereby confirming the validity of the design approach. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Class-EF inverter / particle swarm optimization / machine learning, load independence / load-independent / wireless power transfer |
| Paper # | EE2023-58 |
| Date of Issue | 2024-03-04 (EE) |
| Conference Information | |
| Committee | EE |
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| Conference Date | 2024/3/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yoshiyasu Nakashima(NXTEC) |
| Vice Chair | Hiroo Sekiya(Chiba Univ.) / Hiroaki Kusawake(JAXA) |
| Secretary | Hiroo Sekiya(Aichi Inst. of Tech.) / Hiroaki Kusawake(Nagasaki Inst. of Applied Science) |
| Assistant | Yuu Yonezawa(Nagoya Univ.) / Yudai Furukawa(Nagasaki Inst. of Applied Science) / Kazufumi Yuasa(NTT Facilities) |
| Paper Information | |
| Registration To | Technical Committee on Energy Engineering in Electronics and Communications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Design Methodology for Load-Independent WPT Systems Using Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Class-EF inverter |
| Keyword(2) | particle swarm optimization |
| Keyword(3) | machine learning, load independence |
| Keyword(4) | load-independent |
| Keyword(5) | wireless power transfer |
| 1st Author's Name | Naoki Fukuda |
| 1st Author's Affiliation | Chiba University(Chiba Univ.) |
| 2nd Author's Name | Yutaro Komiyama |
| 2nd Author's Affiliation | Chiba University(Chiba Univ.) |
| 3rd Author's Name | Wenqi Zhu |
| 3rd Author's Affiliation | Chiba University(Chiba Univ.) |
| 4th Author's Name | Yinchen Xie |
| 4th Author's Affiliation | Chiba University(Chiba Univ.) |
| 5th Author's Name | Ayano Komanaka |
| 5th Author's Affiliation | Chiba University(Chiba Univ.) |
| 6th Author's Name | Akihiro Konishi |
| 6th Author's Affiliation | Chiba University(Chiba Univ.) |
| 7th Author's Name | Kien Nguyen |
| 7th Author's Affiliation | Chiba University(Chiba Univ.) |
| 8th Author's Name | Hiroo Sekiya |
| 8th Author's Affiliation | Chiba University(Chiba Univ.) |
| Date | 2024-03-11 |
| Paper # | EE2023-58 |
| Volume (vol) | vol.123 |
| Number (no) | EE-420 |
| Page | pp.pp.6-11(EE), |
| #Pages | 6 |
| Date of Issue | 2024-03-04 (EE) |