Multi-objective topology optimization of magnetic couplers for wireless power transfer

Abstract

In this paper, the multi-objective topology optimizations of wireless power transfer (WPT) devices with two different coil geometries are proposed for obtaining the designs with good balance between transfer efficiency and safety. For this purpose, the proposed method adopts the normalized Gaussian network (NGnet) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). In addition, the optimization under the different constraint on ferrite volume is carried out to verify its influence on optimization results. It has been shown that the proposed method successfully provides the Pareto solution to the design problem of the WPT device.

Machine Learning Based Metal Object Detection for Wireless Power Transfer Using Differential Coils

“…Many researchers have made effort in reducing the leakage flux generated by WPT exposed to persons [3]. Besides, it has been pointed out that the potential risk caused by foreign metal objects is also important.…”

Neural Network for Both Metal Object Detection and Coil Misalignment Prediction in Wireless Power Transfer

“…In addition to performance, safety is an important consideration for WPT. Many studies have focused on reducing the leakage flux of WPT [3] to mitigate the magnetic flux exposure to human bodies, the safe limit for which is stipulated by ICNIRP as 27 μT for frequency bands ranging from 3 kHz to 10 MHz [4].…”

Multiobjective optimization based on polynomial chaos expansions in the design of inductive power transfer systems

“…In Bosshard et al (2015), the circular pad is optimized between the efficiency h and the power density. Gong et al (2020) propose a cost-efficient optimization algorithm to determine the design of the transmitter in a dynamic wireless power transfer system. However, it did not consider the design of the receiver pad.…”