2022
DOI: 10.1038/s41598-022-07631-4
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A self-powered wireless motion sensor based on a high-surface area reverse electrowetting-on-dielectric energy harvester

Abstract: This paper presents a motion-sensing device with the capability of harvesting energy from low-frequency motion activities. Based on the high surface area reverse electrowetting-on-dielectric (REWOD) energy harvesting technique, mechanical modulation of the liquid generates an AC signal, which is modeled analytically and implemented in Matlab and COMSOL. A constant DC voltage is produced by using a rectifier and a DC–DC converter to power up the motion-sensing read-out circuit. A charge amplifier converts the g… Show more

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Cited by 8 publications
(2 citation statements)
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“…With the development of semiconductor technology, large-scale integrated circuits with high integration and powerful functions continue to appear, which makes electronic equipment continue to shrink and reduce its weight. How to reduce the switching power supply is an important direction of switching power supply research [9][10][11], which requires the study of DC-DC converter topology, new materials, highperformance electronic components, etc. [12].…”
Section: Introductionmentioning
confidence: 99%
“…With the development of semiconductor technology, large-scale integrated circuits with high integration and powerful functions continue to appear, which makes electronic equipment continue to shrink and reduce its weight. How to reduce the switching power supply is an important direction of switching power supply research [9][10][11], which requires the study of DC-DC converter topology, new materials, highperformance electronic components, etc. [12].…”
Section: Introductionmentioning
confidence: 99%
“…The triboelectric effect is its primary mechanism for accomplishing this purpose. On the basis of this working feature, TENGs are used GU J Sci, Part A 10(2) 149-156 (2023) 10.54287/gujsa.1247152 as: a) mechanical energy harvesting structure from the vibration source as a form of mechanical energy capture devices (Chen & Wang, 2017), b) self-powered sensors (Tasneem et al, 2022), c) wave energy harvesters (Liang et al, 2023), d) biomechanical energy harvesters acting as power sources for other electronic devices (Babu et al, 2022).…”
Section: Introductionmentioning
confidence: 99%