Battery-Free Wireless Torque Sensor Powered by RF Energy

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)16371 -16380
Journal / PublicationIEEE Internet of Things Journal
Volume10
Issue number18
Online published24 Apr 2023
Publication statusPublished - 15 Sept 2023

Abstract

Conventional dynamic torque measurement usually requires wires and slip rings for supply and data transmission, which shows many drawbacks in terms of device installation, maintenance, durability, and reliability. We here present a wireless torque measurement sensor without a battery, which can achieve a long-term and real-time torque monitoring on either static or dynamic rotation systems. The proposed battery-free wireless torque sensor (BWTS) is non-destructive and low-cost. The BWTS is equipped with a Koch-Meander hybrid dipole antenna to receive the radiofrequency (RF) energy emitted from a customized reader. The BWTS can be activated at an input power of -15 dBm (32 lW), and the maximum operational distance in the open air is 3 meters. We also study the sampling rate of the BWTS on a dynamic shaft and demonstrate it on the road, which to our best knowledge, is the first successful demonstration of fully self-powered and wireless torque monitoring in a real running car. This work indicates the feasibility of wirelessly powering torque sensors using far-field RF energy, introducing a new power solution to wireless and batteryless automotive sensors. © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

Research Area(s)

  • Dipole antennas, embedded devices, Energy harvesting, low cost sensors and devices, Radio frequency, real-time systems, sensor system integration, Shafts, Torque, Torque measurement, Wireless communication, Wireless sensor networks

Citation Format(s)

Battery-Free Wireless Torque Sensor Powered by RF Energy. / Li, Pengyu; Long, Zhihe; Jin, Lihan et al.
In: IEEE Internet of Things Journal, Vol. 10, No. 18, 15.09.2023, p. 16371 -16380.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review