NDLI: Woven Fabric Triboelectric Nanogenerator for Biomotion Energy Harvesting and as Self-Powered Gait-Recognizing Socks

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Woven Fabric Triboelectric Nanogenerator for Biomotion Energy Harvesting and as Self-Powered Gait-Recognizing Socks

Content Provider	MDPI
Author	Chen, Chaoyu Zhang, Lei Ding, Wenbo Chen, Lijun Liu, Jinkang Du, Zhaoqun Yu, Weidong
Copyright Year	2020
Description	In recent years, rapid advancements have developed in multifunctional and wearable electronics, which call for more lightweight, flexible energy sources. However, traditional disposable batteries and rechargeable batteries are not very suitable because of their bulky appearance, limited capacity, low flexibility, and environmental pollution problem. Here, by applying a mature manufacturing technology that has existed in the textile field for a long time, a woven fabric triboelectric nanogenerator (WF-TENG) with a thinner structure that can be mass-fabricated with low cost, perfect stability, and high flexibility is designed and reported. Due to the good intrinsic quality of TENGs, the maximum voltage of this WF-TENG can easily reach 250 V under a pressure of 3.5 kPa and a tapping frequency of 0.33 Hz. Because of the stable plain-woven structure, the output voltage can remain relatively stable even after the WF-TENG has been working for about 5 h continuously, clearly demonstrating its robustness and practical value. Moreover, good sensitivity endows this WF-TENG with the capability of being applied as self-powered sensors, such as a self-powered smart real-time gait-recognizing sock. This WF-TENG shows us a simple and effective method to fabricate a wearable textile product with functional ability, which is very meaningful for future research.
Starting Page	4119
e-ISSN	19961073
DOI	10.3390/en13164119
Journal	Energies
Issue Number	16
Volume Number	13
Language	English
Publisher	MDPI
Publisher Date	2020-08-10
Access Restriction	Open
Subject Keyword	Energies Industrial Engineering Woven Fabric Triboelectric Nanogenerator Energy Harvesting Self-powered Sensors
Content Type	Text
Resource Type	Article

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