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.

Behavioral models for the analysis of dynamic wireless charging systems for electrical vehicles

Femia Nicola;
2020

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.
2020
978-1-7281-3320-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4887504
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