Battery-Free Wireless Torque Sensor Powered by RF Energy
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 16371 -16380 |
Journal / Publication | IEEE Internet of Things Journal |
Volume | 10 |
Issue number | 18 |
Online published | 24 Apr 2023 |
Publication status | Published - 15 Sept 2023 |
Link(s)
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.
In: IEEE Internet of Things Journal, Vol. 10, No. 18, 15.09.2023, p. 16371 -16380.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review