MagBB: Wireless Charging for Batteryless Sensors using Magnetic Blind Beamforming

TL;DR

MagBB introduces a magnetic blind beamforming algorithm that enables wireless energy transfer to batteryless sensors regardless of their orientation or location, enhancing charging efficiency in inhomogeneous media.

Contribution

The paper presents a novel magnetic blind beamforming method that does not require sensor orientation or location information for efficient wireless charging of batteryless sensors.

Findings

MagBB achieves high energy transfer efficiency in simulations.

It effectively charges sensors with arbitrary coil orientations.

The method works in complex inhomogeneous media.

Abstract

Tiny batteryless sensors are desirable since they create negligible impacts on the operation of the system being monitored or the surrounding environment. Wireless energy transfer for batteryless sensors is challenging since they cannot cooperate with the charger due to the lack of energy. In this paper, a Magnetic Blind Beamforming (MagBB) algorithm is developed for wireless energy transfer for batteryless sensors in inhomogeneous media. Batteryless sensors with randomly orientated coils may experience significant orientation losses and they may not receive any energy from the charger. MagBB uses a set of optimized current vectors to generate rotating magnetic fields which can ensure that coils on batteryless sensors with arbitrary orientations can receive sufficient voltages for charging. It does not require any information regarding the batteryless sensor's coil orientation or location. The efficiency of MagBB is proven by extensive numerical simulations.