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  5. A Self‐Powered Angle Measurement Sensor Based on Triboelectric Nanogenerator

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Article
en
2015

A Self‐Powered Angle Measurement Sensor Based on Triboelectric Nanogenerator

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en
2015
Vol 25 (14)
Vol. 25
DOI: 10.1002/adfm.201403828

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Ying Wu
Qingshen Jing
Jun Chen
+5 more

Abstract

A self‐powered, sliding electrification based quasi‐static triboelectric sensor (QS‐TES) for detecting angle from rotating motion is reported. This innovative, cost‐effective, simply‐designed QS‐TES has a two‐dimensional planar structure, which consists of a rotator coated with four channel coded Cu foil material and a stator with a fluorinated ethylenepropylene film. On the basis of coupling effect between triboelectrification and electrostatic induction, the sensor generates electric output signals in response to mechanical rotating motion of an object mounted with the sensor. The sensor can read and remember the absolute angular position, angular velocity, and acceleration regardless being continuously monitored or segmented monitored. Under the rotation speed of 100 r min −1 , the output voltage of the sensor reaches as high as 60 V. Given a relatively low threshold voltage of ±0.5 V for data processing, the robustness of the device is guaranteed. The resolution of the sensor is 22.5° and can be further improved by increasing the number of channels. Triggered by the output voltage signal, the rotating characteristics of the steering wheel can be real‐time monitored and mapped by being mounted to QS‐TES. This work not only demonstrates a new principle in the field of angular measurement but also greatly expands the applicability of triboelectric nanogenerator as self‐powered sensors.

How to cite this publication

Ying Wu, Qingshen Jing, Jun Chen, Peng Bai, Junjie Bai, Guang Zhu, Yuanjie Su, Zhong Lin Wang (2015). A Self‐Powered Angle Measurement Sensor Based on Triboelectric Nanogenerator. , 25(14), DOI: https://doi.org/10.1002/adfm.201403828.

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Publication Details

Type

Article

Year

2015

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adfm.201403828

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