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

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Article
en
2017

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

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0 Files

en
2017
Vol 11 (2)
Vol. 11
DOI: 10.1021/acsnano.6b07633

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Xiaofeng Wang
Simiao Niu
Yi Fang
+6 more

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.

How to cite this publication

Xiaofeng Wang, Simiao Niu, Yi Fang, Yajiang Yin, Chenglong Hao, Keren Dai, Yue Zhang, Zheng You, Zhong Lin Wang (2017). Harvesting Ambient Vibration Energy over a Wide Frequency Range for Self-Powered Electronics. , 11(2), DOI: https://doi.org/10.1021/acsnano.6b07633.

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Publication Details

Type

Article

Year

2017

Authors

9

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acsnano.6b07633

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