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A self-powered instantaneous wireless sensing platform based on integrated triboelectric nanogenerator and negative resistance LC resonator.

Authors :
Zhang, Chi
Wu, Jianhui
Li, Jie
Zhang, Kaihang
Xu, Liangquan
Liu, Yulu
Xuan, Weipeng
Chen, Jinkai
Ong, Huiling
Jin, Hao
Dong, Shurong
Fu, Yongqing
Luo, Jikui
Source :
Measurement (02632241). Aug2024, Vol. 235, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

• A self-powered wireless sensing system based on TENG is developed. • The system utilizes negative resistance resonator as transmitter. • The system demonstrates excellent stability and sensing precision. • Practicability for monitoring gas pressure is validated. Triboelectric nanogenerators (TENG) based self-powered instantaneous wireless sensing systems have attracted much attention for applications. However, such sensing systems typically use passive inductor capacitor (LC) resonators with low-quality factor, Q , as the transmitter, and have very low sensing precision and accuracy due to the tremendously short sensing signals duration of 10–50 μs and very short sensing distance. Here, we proposed a TENG-based self-powered wireless sensing system with extremely high precision and signal stability by using a negative resistance LC resonator. The introduction of negative resistance greatly increased the system's Q -factor from 102 to 2.6 × 105, and significantly extended the signal duration of up to 1 ms. These allowed the sensor system to achieve a frequency precision and accuracy down to 50 Hz with a fluctuation of less than 0.05 % for a sensing distance of 50 cm, both of them are 40 times better than those of conventional ones (2 kHz, 2 %). A self-powered wireless gas pressure sensing system was developed, showing a high theoretical sensing precision of 2.4 Pa, demonstrated its great application prospects. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02632241
Volume :
235
Database :
Academic Search Index
Journal :
Measurement (02632241)
Publication Type :
Academic Journal
Accession number :
177879725
Full Text :
https://doi.org/10.1016/j.measurement.2024.115032