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  5. Self-Powered Safety Helmet Based on Hybridized Nanogenerator for Emergency

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Article
en
2016

Self-Powered Safety Helmet Based on Hybridized Nanogenerator for Emergency

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0 Files

en
2016
Vol 10 (8)
Vol. 10
DOI: 10.1021/acsnano.6b03760

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Long Jin
Jun Chen
Binbin Zhang
+7 more

Abstract

The rapid development of Internet of Things and the related sensor technology requires sustainable power sources for their continuous operation. Scavenging and utilizing the ambient environmental energy could be a superior solution. Here, we report a self-powered helmet for emergency, which was powered by the energy converted from ambient mechanical vibration via a hybridized nanogenerator that consists of a triboelectric nanogenerator (TENG) and an electromagnetic generator (EMG). Integrating with transformers and rectifiers, the hybridized nanogenerator can deliver a power density up to 167.22 W/m3, which was demonstrated to light up 1000 commercial light-emitting diodes (LEDs) instantaneously. By wearing the developed safety helmet, equipped with rationally designed hybridized nanogenerator, the harvested vibration energy from natural human motion is also capable of powering a wireless pedometer for real-time transmitting data reporting to a personal cell phone. Without adding much extra weight to a commercial one, the developed wearing helmet can be a superior sustainable power source for explorers, engineers, mine-workers under well, as well as and disaster-relief workers, especially in remote areas. This work not only presents a significant step toward energy harvesting from human biomechanical movement, but also greatly expands the applicability of TENGs as power sources for self-sustained electronics.

How to cite this publication

Long Jin, Jun Chen, Binbin Zhang, Weili Deng, Lei Zhang, Haitao Zhang, Xi Huang, Minhao Zhu, Weiqing Yang, Zhong Lin Wang (2016). Self-Powered Safety Helmet Based on Hybridized Nanogenerator for Emergency. , 10(8), DOI: https://doi.org/10.1021/acsnano.6b03760.

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Publication Details

Type

Article

Year

2016

Authors

10

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acsnano.6b03760

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