Symbolic Regression Method for Estimating Distance Between Two Coils of an Inductive Wireless Power Transfer System
Symbolic regression (SR) has emerged as a powerful tool for the characterization of Wireless Power Transfer (WPT) systems, estimating the distance between coils and finding the relationship between frequency and phase so as to find the best frequency to increase the power factor. This study explores...
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MDPI AG
2025-03-01
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| author | Davide Milillo Lorenzo Sabino Rafiq Asghar Francesco Riganti Fulginei |
| author_facet | Davide Milillo Lorenzo Sabino Rafiq Asghar Francesco Riganti Fulginei |
| author_sort | Davide Milillo |
| collection | DOAJ |
| description | Symbolic regression (SR) has emerged as a powerful tool for the characterization of Wireless Power Transfer (WPT) systems, estimating the distance between coils and finding the relationship between frequency and phase so as to find the best frequency to increase the power factor. This study explores the application of SR on both simulated and experimental data, demonstrating its effectiveness with low prediction errors. SR employs a genetic algorithm to identify the analytical formula that best represents the input–output relationship, combining the strengths of traditional machine learning and analytical modeling. The results, with prediction errors of less than 1%, indicate that SR not only enhances predictive accuracy but also provides insights into the underlying physical principles governing WPT systems. This dual advantage positions SR as a valuable method for optimizing WPT applications, paving the way for further research and development in this field. |
| format | Article |
| id | doaj-art-ed6b79ea82d040e5b8cde28d22a5430f |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj-art-ed6b79ea82d040e5b8cde28d22a5430f2025-08-20T02:15:55ZengMDPI AGApplied Sciences2076-34172025-03-01157366810.3390/app15073668Symbolic Regression Method for Estimating Distance Between Two Coils of an Inductive Wireless Power Transfer SystemDavide Milillo0Lorenzo Sabino1Rafiq Asghar2Francesco Riganti Fulginei3Department of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, 00146 Rome, ItalyDepartment of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, 00146 Rome, ItalyDepartment of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, 00146 Rome, ItalyDepartment of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, 00146 Rome, ItalySymbolic regression (SR) has emerged as a powerful tool for the characterization of Wireless Power Transfer (WPT) systems, estimating the distance between coils and finding the relationship between frequency and phase so as to find the best frequency to increase the power factor. This study explores the application of SR on both simulated and experimental data, demonstrating its effectiveness with low prediction errors. SR employs a genetic algorithm to identify the analytical formula that best represents the input–output relationship, combining the strengths of traditional machine learning and analytical modeling. The results, with prediction errors of less than 1%, indicate that SR not only enhances predictive accuracy but also provides insights into the underlying physical principles governing WPT systems. This dual advantage positions SR as a valuable method for optimizing WPT applications, paving the way for further research and development in this field.https://www.mdpi.com/2076-3417/15/7/3668genetic algorithmNFCpower efficiencysymbolic regressionwireless power transfer |
| spellingShingle | Davide Milillo Lorenzo Sabino Rafiq Asghar Francesco Riganti Fulginei Symbolic Regression Method for Estimating Distance Between Two Coils of an Inductive Wireless Power Transfer System Applied Sciences genetic algorithm NFC power efficiency symbolic regression wireless power transfer |
| title | Symbolic Regression Method for Estimating Distance Between Two Coils of an Inductive Wireless Power Transfer System |
| title_full | Symbolic Regression Method for Estimating Distance Between Two Coils of an Inductive Wireless Power Transfer System |
| title_fullStr | Symbolic Regression Method for Estimating Distance Between Two Coils of an Inductive Wireless Power Transfer System |
| title_full_unstemmed | Symbolic Regression Method for Estimating Distance Between Two Coils of an Inductive Wireless Power Transfer System |
| title_short | Symbolic Regression Method for Estimating Distance Between Two Coils of an Inductive Wireless Power Transfer System |
| title_sort | symbolic regression method for estimating distance between two coils of an inductive wireless power transfer system |
| topic | genetic algorithm NFC power efficiency symbolic regression wireless power transfer |
| url | https://www.mdpi.com/2076-3417/15/7/3668 |
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