Conjunction of triboelectric nanogenerator with induction coils as wireless power sources and self-powered wireless sensors

Chi Zhang, Jinkai Chen, Weipeng Xuan (), Shuyi Huang, Bin You, Wenjun Li, Lingling Sun, Hao Jin, Xiaozhi Wang, Shurong Dong, Jikui Luo (), A. J. Flewitt and Zhong Lin Wang
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Chi Zhang: College of Electronics & Information Hangzhou Dianzi University
Jinkai Chen: College of Electronics & Information Hangzhou Dianzi University
Weipeng Xuan: College of Electronics & Information Hangzhou Dianzi University
Shuyi Huang: Zhejiang University
Bin You: College of Electronics & Information Hangzhou Dianzi University
Wenjun Li: College of Electronics & Information Hangzhou Dianzi University
Lingling Sun: College of Electronics & Information Hangzhou Dianzi University
Hao Jin: Zhejiang University
Xiaozhi Wang: Zhejiang University
Shurong Dong: Zhejiang University
Jikui Luo: College of Electronics & Information Hangzhou Dianzi University
A. J. Flewitt: University of Cambridge
Zhong Lin Wang: Chinese Academy of Sciences

Nature Communications, 2020, vol. 11, issue 1, 1-10

Abstract: Abstract Here we demonstrate a magnetic resonance coupling based wireless triboelectric nanogenerator (TENG) and fully self-powered wireless sensors. By integrating a microswitch and an inductor with the TENG, the pulsed voltage output is converted into a sinusoidal voltage signal with a fixed frequency. This can be transmitted wirelessly from the transmit coil to the resonant-coupled receiver coil with an efficiency of 73% for a 5 cm distance between the two coils (10 cm diameter). Analytic models of the oscillating and coupled voltage signals for the wireless energy transfer are developed, showing excellent agreement with the experimental results. A TENG of 40 × 50 mm2 can wirelessly light up 70 LEDs or charge up a 15 μF capacitor to 12.5 V in ~90 s. The system is further utilized for two types of fully self-powered wireless chipless sensors with no microelectronic components. The technologies demonstrate an innovative strategy for a wireless ‘green’ power source and sensing.

Date: 2020
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DOI: 10.1038/s41467-019-13653-w

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