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Self-Powered and Autonomous Vibrational Wake-Up System Based on Triboelectric Nanogenerators and MEMS Switch
With the extensive application of wireless sensing nodes, the demand for sustainable energy in unattended environments is increasing. Here, we report a self-powered and autonomous vibrational wake-up system (SAVWS) based on triboelectric nanogenerators and micro-electromechanical system (MEMS) switc...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145876/ https://www.ncbi.nlm.nih.gov/pubmed/35632159 http://dx.doi.org/10.3390/s22103752 |
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author | Lin, Yuan Qi, Youchao Wang, Jiaqi Liu, Guoxu Wang, Zhaozheng Zhao, Junqing Lv, Yi Zhang, Zhi Tian, Ning Wang, Mengbi Chen, Yuanfen Zhang, Chi |
author_facet | Lin, Yuan Qi, Youchao Wang, Jiaqi Liu, Guoxu Wang, Zhaozheng Zhao, Junqing Lv, Yi Zhang, Zhi Tian, Ning Wang, Mengbi Chen, Yuanfen Zhang, Chi |
author_sort | Lin, Yuan |
collection | PubMed |
description | With the extensive application of wireless sensing nodes, the demand for sustainable energy in unattended environments is increasing. Here, we report a self-powered and autonomous vibrational wake-up system (SAVWS) based on triboelectric nanogenerators and micro-electromechanical system (MEMS) switches. The energy triboelectric nanogenerator (E-TENG) harvests vibration energy to power the wireless transmitter through a MEMS switch. The signal triboelectric nanogenerator (S-TENG) controls the state of the MEMS switch as a self-powered accelerometer and shows good linearity in the acceleration range of 1–4.5 m/s(2) at 30 Hz with a sensitivity of about 14.6 V/(m/s(2)). When the acceleration increases, the S-TENG turns on the MEMS switch, and the wireless transmitter transmits an alarm signal with the energy from E-TENG, using only 0.64 mJ. Using TENGs simultaneously as an energy source and a sensor, the SAVWS provides a self-powered vibration monitoring solution for unattended environments and shows extensive applications and great promise in smart factories, autonomous driving, and the Internet of Things. |
format | Online Article Text |
id | pubmed-9145876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91458762022-05-29 Self-Powered and Autonomous Vibrational Wake-Up System Based on Triboelectric Nanogenerators and MEMS Switch Lin, Yuan Qi, Youchao Wang, Jiaqi Liu, Guoxu Wang, Zhaozheng Zhao, Junqing Lv, Yi Zhang, Zhi Tian, Ning Wang, Mengbi Chen, Yuanfen Zhang, Chi Sensors (Basel) Article With the extensive application of wireless sensing nodes, the demand for sustainable energy in unattended environments is increasing. Here, we report a self-powered and autonomous vibrational wake-up system (SAVWS) based on triboelectric nanogenerators and micro-electromechanical system (MEMS) switches. The energy triboelectric nanogenerator (E-TENG) harvests vibration energy to power the wireless transmitter through a MEMS switch. The signal triboelectric nanogenerator (S-TENG) controls the state of the MEMS switch as a self-powered accelerometer and shows good linearity in the acceleration range of 1–4.5 m/s(2) at 30 Hz with a sensitivity of about 14.6 V/(m/s(2)). When the acceleration increases, the S-TENG turns on the MEMS switch, and the wireless transmitter transmits an alarm signal with the energy from E-TENG, using only 0.64 mJ. Using TENGs simultaneously as an energy source and a sensor, the SAVWS provides a self-powered vibration monitoring solution for unattended environments and shows extensive applications and great promise in smart factories, autonomous driving, and the Internet of Things. MDPI 2022-05-14 /pmc/articles/PMC9145876/ /pubmed/35632159 http://dx.doi.org/10.3390/s22103752 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lin, Yuan Qi, Youchao Wang, Jiaqi Liu, Guoxu Wang, Zhaozheng Zhao, Junqing Lv, Yi Zhang, Zhi Tian, Ning Wang, Mengbi Chen, Yuanfen Zhang, Chi Self-Powered and Autonomous Vibrational Wake-Up System Based on Triboelectric Nanogenerators and MEMS Switch |
title | Self-Powered and Autonomous Vibrational Wake-Up System Based on Triboelectric Nanogenerators and MEMS Switch |
title_full | Self-Powered and Autonomous Vibrational Wake-Up System Based on Triboelectric Nanogenerators and MEMS Switch |
title_fullStr | Self-Powered and Autonomous Vibrational Wake-Up System Based on Triboelectric Nanogenerators and MEMS Switch |
title_full_unstemmed | Self-Powered and Autonomous Vibrational Wake-Up System Based on Triboelectric Nanogenerators and MEMS Switch |
title_short | Self-Powered and Autonomous Vibrational Wake-Up System Based on Triboelectric Nanogenerators and MEMS Switch |
title_sort | self-powered and autonomous vibrational wake-up system based on triboelectric nanogenerators and mems switch |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145876/ https://www.ncbi.nlm.nih.gov/pubmed/35632159 http://dx.doi.org/10.3390/s22103752 |
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