Self and Mutual Inductance Behavioral Modeling of Rectangular IPT Coils with Air Gap and Ferrite Core Plates

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@Article{Delgado:2021:A,

• author = "Alberto Delgado and Giulia {Di Capua} and Kateryna Stoyka and Lixin Shi and Nicola Femia and Antonio Maffucci and Salvatore Ventre and Pedro Alou and Jesus A. Oliver and Jose A. Cobos",
• title = "Self and Mutual Inductance Behavioral Modeling of Rectangular {IPT} Coils with Air Gap and Ferrite Core Plates",
• journal = "IEEE Access",
• year = "2022",
• volume = "10",
• pages = "7476--7488",
• month = jan # " 20",
• keywords = "genetic algorithms, genetic programming, Behavioral modeling, finite element analysis, finite element modeling, inductive power transfer, magnetic components, optimization process, wireless power transfer",
• ISSN = "2169-3536",
• DOI = "doi:10.1109/ACCESS.2021.3138239",
• size = "13 pages",
• abstract = "The design and optimisation of coils for Inductive Power Transfer (IPT) systems is an iterative process conducted in Finite Element (FE) tools that takes a lot of time and computational resources. In order to overcome such limitations in the design process, new empirical equations for the evaluation of the self-inductance and mutual inductance values are proposed in this work. By means of a multi-objective genetic programming algorithm, the self-inductance, the mutual inductance and the coupling factor values obtained from FE simulations of IPT link are accounted by analytical equations based on the geometric parameters defining the IPT link. The behavioral modeling results are compared with both FE-based and experimental results, showing a good accuracy.",
• notes = "Also known as \cite{9663390}",

}

Genetic Programming entries for Alberto Delgado Giulia Di Capua Kateryna Stoyka Lixin Shi Nicola Femia Antonio Maffucci Salvatore Ventre Pedro Alou Jesus A Oliver Jose A Cobos

Citations