Details
Presenter(s)
![Nicola Femia Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/25264.jpg?h=2a35d14f&itok=A87b5vXC)
Display Name
Nicola Femia
- Affiliation
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AffiliationUniversità degli Studi di Salerno
- Country
Abstract
In this paper, an analytical behavioral 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.