Title
Wireless power transfer for contactless instrumentation and measurement.
Abstract
Wireless power transfer (WPT) is an old subject, introduced for the first time by Nikola Tesla in the twentieth century [1]. His patent proposal was based on the magnetic resonance of two coils to distribute large amounts of energy to distant places of consumption. The subject returned to the mainstream in the last decade due to the exponential growth in the number of electronic devices. Currently, the main goal is to achieve ubiquity of WPT with the consolidation of the Internet of Things (IoT). How to supply the energy necessary to operate this huge network of gadgets is still a problem waiting for a solution. Three main aspects must be considered when outlining the powering strategy of those forthcoming technologies: small physical volume, high energy efficiency, and compatible aesthetics. Other emerging topics have similar requirements, such as battery-less medical implanted devices, remote contactless, and radio frequency identification (RFID), to mention a few. Current techniques envisaged for WPT are founded on the transmission of energy by electromagnetic fields. Both far- and near-field strategies have been studied; however, in this paper we focus on the latter, specifically on inductive power transfer (IPT). A typical IPT system can be thought of as an aircore transformer connected to a load and a source by passive networks. These networks provide the necessary impedance transformation for maximizing the power transfer from source to load. The key to achieving high transfer efficiency is to minimize the losses on the passives, including the transformer inductors. Moreover, the magnetic coupling factor between the inductances should be as high as possible. In this article, we review the modeling of a typical IPT link and discuss the criteria for maximizing the power transferred to the load as well as the power transfer efficiency. In addition, we report application-specific IPT designs and characterization which have been addressed by Brazilian researchers.
Year
DOI
Venue
2017
10.1109/MIM.2017.8006394
IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE
Keywords
Field
DocType
Wireless power transfer,Inductors,Capacitors,Magnetic resonance,Receivers,Wireless communication
Wireless power transfer,Telecommunications,Internet of Things,Electronic engineering,Electronics,Engineering,Radio-frequency identification,Electrical engineering,High energy,Instrumentation
Journal
Volume
Issue
ISSN
20
4
1094-6969
Citations 
PageRank 
References 
0
0.34
4
Authors
5