Metal Object Detection Based on Load Impedance and Input Power Characteristics for High-dimensional WPT System

TL;DR

This paper introduces a novel metal object detection method for high-dimensional wireless power transfer systems, utilizing load impedance and input power characteristics to improve safety and stability.

Contribution

It proposes a new detection approach combining load impedance and input power curves, tailored for high-dimensional WPT systems, with theoretical analysis and experimental validation.

Findings

Accurately detects metal objects using threshold curves

Theoretically proven through simulation

Validated by experiments with high detection accuracy

Abstract

High-dimensional wireless power transfer (WPT) systems have received increasing attention for charging mobile devices. With the receivers have higher spatial freedom, the systems are more susceptible to the metal objects in the surroundings. However, conventional methods for metal object detection (MOD) can't satisfy the requirements of safety and stability of new systems. This paper proposed a metal detection method which is more suitable for high-dimensional WPT systems. The key feature of the proposed method is combining load impedance and input power characteristics curves to determine whether the receiver is a metal object or a coil. And the influence of the metal is discussed in the circuit and magnetic model. The method is theoretically proven by the simulation calculation. And the experiments verified that the method can accurately detect the metal objects by setting the threshold curves.