Two Degrees of Freedom in Two Directions Structure Triboelectric Nanogenerator for Vibration Energy Harvesting and Self-Powered Sensing

Wang, Xinhua; Yin, Gefan; Sun, Tao; Xu, Xiangjie; Rasool, Ghulam; Abbas, Kamil

doi:10.1021/acsaelm.3c00897

Cited by 1 publication

(1 citation statement)

References 64 publications

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“…The TENG effectively converted vibration energy from 0 to 30 Hz into electrical energy and served as a self-powered vibration sensor. Wang et al prepared a TENG with a bidirectional two-degree-of-freedom structure, which harvested vibration energy of 1-25 Hz and continuously powered a stopwatch [17]. Yu et al prepared a TENG with an additional mass-enhanced film structure [18].…”

Section: Introductionmentioning

confidence: 99%

Miniaturized and High Volumetric Energy Density Power Supply Device Based on a Broad-Frequency Vibration Driven Triboelectric Nanogenerator

Wu,

Ren,

Wang

et al. 2024

Micromachines

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The widespread vibration is one of the most promising energy sources for IoT and small sensors, and broad-frequency vibration energy harvesting is important. Triboelectric nanogenerators (TENGs) can convert vibration energy into electrical energy through triboelectricity and electrostatic induction, providing an effective solution to the collection of broad-frequency vibration energy. Also, the power supply in constrained and compact spaces has been a long-standing challenge. Here, a miniaturized power supply (MPS) based on a broad-frequency vibration-driven triboelectric nanogenerator (TENG) is developed. The size of the MPS is 38 mm × 26 mm × 20 mm, which can adapt to most space-limited environments. The TENG device is optimized through theoretical mechanical modeling for the external stimuli, it can efficiently harvest vibrational energy in the frequency range of 1–100 Hz and has a high output power density of 134.11 W/cm3. The developed device demonstrates its practical application potential in powering small electronics like LEDs, watches, and timers.

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Section: Introductionmentioning

confidence: 99%