학술논문

Artificial Neural Network Modeling of WPT Magnetic Fields in an EV Application
Document Type
Conference
Source
2023 IEEE Wireless Power Technology Conference and Expo (WPTCE) Wireless Power Technology Conference and Expo (WPTCE), 2023 IEEE. :1-6 Jun, 2023
Subject
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Transportation
Geometry
Ferrites
Wireless communication
Magnetic field measurement
Area measurement
Artificial neural networks
Wireless power transfer
wireless power transfer
inductive power transfer
machine learning
Language
Abstract
Significant recent work on wireless power transfer (WPT) for electric vehicles (EVs) has been conducted. With the rapid development of WPT solutions, and with many classes of EVs potentially leveraging the same infrastructure, there is a need to rapidly qualify and optimize WPT coil design. To that end, an artificial neural network (ANN) is trained to estimate 4,203 magnetic parameters of a wireless power transfer (WPT) system. The network is trained on 48,284 unique coil geometries. Appropriate cost functions to train the ANN are introduced. The trained ANN is shown to effectively reproduce data generated by a finite element method (FEM)