Logo image
Back
A General Data-driven Design Methodology of Magnetic Couplers for Wireless Power Transfer Systems
Conference proceeding

A General Data-driven Design Methodology of Magnetic Couplers for Wireless Power Transfer Systems

Jixie Xie, Shuyu Yang, Chong Zhu, Xi Zhang and Fei Lu
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, v 2022-
01 Jan 2022
DOI: https://doi.org/10.1109/IECON49645.2022.9968340

Abstract

Electric vehicles
Conference Title: IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society Conference Start Date: 2022, Oct. 17 Conference End Date: 2022, Oct. 20 Conference Location: Brussels, BelgiumWith the rise of the electric vehicle market, wireless charging technology for electric vehicles as a convenient, fast and safe new charging technology has been focused on research in recent years. Compared with traditional wired charging, wireless charging has great advantages in terms of economy, convenience, safety, and adaptability. To improve the performance of inductive power transfer (IPT) systems, it is essential to pursue an optimized design of the magnetic couplers. Although the result of the Traditional finite element method (FEM) is very accurate, it needs a lot of time. Hence, for the first time, this paper proposes a general data-driven coil design approach based on the combination of a neural network and the multi-objective optimization algorithm. The proposed method significantly accelerates the design process and provides highly compliant design results. A design example of an integrated magnetic coupler is provided to validate the superiority of the proposed method in time-saving and accuracy, where the FEM simulation results show that the design deviation is within 10%.

Metrics

19 Record Views
3 citations in Scopus

Details

Logo image