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Harvesting Ambient Vibration Energy over a Wide Frequency Range for Self-Powered Electronics

Wang, Xiaofeng, Niu, Simiao, Yi, Fang, Yin, Yajiang, Hao, Chenglong, Dai, Keren, Zhang, Yue, You, Zheng, Wang, Zhong Lin·2017·ACS Nano

Abstract

Vibration is one of the most common energy sources in ambient environment. Harvesting vibration energy is a promising route to sustainably drive small electronics. This work introduces an approach to scavenge vibrational energy over a wide frequency range as an exclusive power source for continuous operation of electronics. An elastic multiunit triboelectric nanogenerator (TENG) is rationally designed to efficiently harvest low-frequency vibration energy, which can provide a maximum instantaneous output power density of 102 W·m –3 at as low as 7 Hz and maintain its stable current outputs from 5 to 25 Hz. A self-charging power unit (SCPU) combining the TENG and a 10 mF supercapacitor gives a continuous direct current (DC) power delivery of 1.14 mW at a power management efficiency of 45.6% at 20 Hz. The performance of the SCPU can be further enhanced by a specially designed power management circuit, with a continuous DC power of 2 mW and power management efficiency of 60% at 7 Hz. Electronics such as a thermometer, hygrometer, and speedometer can be sustainably powered solely by the harvested vibration energy from a machine or riding bicycle. This approach has potential applications in self-powered systems for environment monitoring, machine safety, and transportation.

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Metadata

Authors
Wang, X., Niu, S., Yi, F., Yin, Y., Hao, C., Dai, K., Zhang, Y., You, Z., & Wang, Z. L.
Venue
ACS Nano
Published
2017-01-17
Volume
11
Issue
2
Pages
1728-1735
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2572240942
Cited by
209
References
0
FWCI
11.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Harvesting Ambient Vibration Energy over a Wide Frequency Range for Self-Powered Electronics. https://app.cochat.ai/papers/10.1021/acsnano.6b07633
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Wang, X., Niu, S., Yi, F., Yin, Y., Hao, C., Dai, K., Zhang, Y., You, Z., & Wang, Z. L. (2017). Harvesting Ambient Vibration Energy over a Wide Frequency Range for Self-Powered Electronics. ACS Nano. https://doi.org/10.1021/acsnano.6b07633

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