- author = "Giulia {Di Capua} and Nicola Femia and Kateryna Stoyka and Gennaro {Di Mambro} and Antonio Maffucci and Salvatore Ventre and Fabio Villone",
- journal = "IEEE Transactions on Industrial Electronics",
- title = "Mutual Inductance Behavioral Modeling for Wireless Power Transfer System Coils",
- year = "2020",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1109/TIE.2019.2962432",
- ISSN = "1557-9948",
- abstract = "This paper derives low-complexity behavioural analytical models of the mutual inductance between the coupling coils of Wireless Power Transfer Systems (WPTSs), as functions of their reciprocal position. These models are extremely useful in the characterization and design optimization of WPTSs. Multi-Objective Genetic Programming (MOGP) algorithm is adopted to generate models ensuring an optimal trade-off between accuracy and complexity. The training and validation data sets needed for the generation of the models are here obtained by performing numerical full-3D electromagnetic simulations. The resulting behavioral models allow accurate and fast evaluation of the WPTS coils mutual inductance, over a wide range of misalignment conditions, enabling easier system analysis and optimization.",
-
notes = "DIEM, University of Salerno, 19028 Fisciano, Campania
Italy
Also known as \cite{8994192}",
