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| Titre: | Wireless Power Transfer Optimization Using Meta-heuristic Algorithms |
| Auteur(s): | Bennia, Fatima
Boudouda, Aimad
Nafa, Fares |
| Mots-clés: | Biomedical implants
Coupling Coefficient
Efficiency
Optimization
Meta- heuristic algorithms
Mutual inductance
Quality Factor
Wireless Power Transfer |
| Date de publication: | 2024 |
| Editeur: | IEEE |
| Collection/Numéro: | 2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC), Setif, Algeria, 2024;pp. 1-6 |
| Résumé: | The importance of Wireless Power Transfer (WPT) technology in biomedical implants to mitigate the risk of regeneration has increased significantly in recent years. WPT systems are dependent on key parameters such as the coupling coefficient (K), quality factor (Q), and mutual inductance (M), which play a crucial role in determining power transfer efficiency. These parameters are closely related to the geometric characteristics of the coils involved. Therefore, this study explores various meta-heuristic algorithms to search for optimal parameters that maximize power transfer efficiency. The initial results demonstrate that these algorithms perform well across different iterations. To confirm these findings, the study conducted comprehensive validation using Ansys Maxwell software to verify the optimal values obtained through optimization. |
| URI/URL: | https://ieeexplore.ieee.org/document/10576272
10.1109/ICEEAC61226.2024.10576272
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/14252 |
| Collection(s) : | Communications Internationales
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