Behavioral Models for the Analysis of Dynamic Wireless Charging Systems for Electrical Vehicles

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@InProceedings{Stoyka:2020:ISCAS,

• author = "K. Stoyka and G. {Di Capua} and G. {Di Mambro} and N. Femia and F. Freschi and A. Maffucci and S. Ventre",
• title = "Behavioral Models for the Analysis of Dynamic Wireless Charging Systems for Electrical Vehicles",
• booktitle = "2020 IEEE International Symposium on Circuits and Systems (ISCAS)",
• year = "2020",
• abstract = "In this paper, an analytical behavioural model is proposed to describe the dependence of the mutual inductance on the real trajectory of an electrical vehicle, recharged by a dynamic Wireless Power Transfer (WPT) system. The model is derived by means of a multi-objective genetic programming algorithm, which uses a training data set provided by a 3D magneto quasi-static numerical solver. The model is herein applied to a real WPT system working at 85 kHz and successfully validated.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/ISCAS45731.2020.9180785",
• ISSN = "2158-1525",
• month = oct,
• notes = "Also known as \cite{9180785}",

}

Genetic Programming entries for Kateryna Stoyka Giulia Di Capua Gennaro Di Mambro Nicola Femia Fabio Freschi Antonio Maffucci Salvatore Ventre

Citations