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  5. A Piezo‐Tribovoltaic Nanogenerator with Ultrahigh Output Power Density and Dynamic Sensory Functions

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Article
en
2023

A Piezo‐Tribovoltaic Nanogenerator with Ultrahigh Output Power Density and Dynamic Sensory Functions

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en
2023
Vol 14 (2)
Vol. 14
DOI: 10.1002/aenm.202303080

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Siyao Qin
Jiaqi Chen
Peng Yang
+7 more

Abstract

Abstract Tribovoltaic nanogenerator (TVNG) mainly collects energy from sliding motions of two semiconducting materials, but it cannot effectively react to the pressure change in the vertical direction. Here, a piezo‐tribovoltaic nanogenerator (P‐TVNG) is proposed by integrating piezoelectric and tribovoltaic effects to collect energy from both the sliding motion and the variation of applied pressure. Hence, this P‐TVNG can gain extra performance improvement on the top of the original output limit of TVNG. The maximum output power density of P‐TVNG is up to 3.61 W m −2 , which is 28.9 % higher than the highest record of the TVNG using similar materials. Additionally, the piezo‐module can work as a separated sensory component by switching the circuit, which can monitor and analyze various working parameters of TVNG. A series of dynamic characteristics of TVNG during its operation have been identified, including the hysteresis between output current and applied pressure, the influence and incompatibility of interface stress to output performance, and so on. As a multifunction of devices, this P‐TVNG system is possible to be applied in semiconductor industry, smart manufacturing, and many other fields. This work improves the performance of the TVNGs while extending its functionality, which broadens the application field of TVNG devices.

How to cite this publication

Siyao Qin, Jiaqi Chen, Peng Yang, Zhaoqi Liu, Xinglin Tao, Xuanyi Dong, Jun Hu, Xiangcheng Chu, Zhong Lin Wang, Xiangyu Chen (2023). A Piezo‐Tribovoltaic Nanogenerator with Ultrahigh Output Power Density and Dynamic Sensory Functions. , 14(2), DOI: https://doi.org/10.1002/aenm.202303080.

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Article

Year

2023

Authors

10

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0

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Language

en

DOI

https://doi.org/10.1002/aenm.202303080

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