Fabric-rebound triboelectric nanogenerators with loops and layered structures for energy harvesting and intelligent wireless monitoring of human motions

Chenghanzhi Jiang, Cheuk Lam Lai, Bingang Xu, Mei Yi So, Zihua Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

43 Citations (Scopus)

Abstract

Self-powered electronic textiles (e-textiles) and triboelectric nanogenerators (TENGs) have been explored for the development of energy-harvesting facilities which provide sustainable power supplements for portable, wearable, and low-energy electronics. However, it requires the features of excellent structural stability and superior capability in sensing applications. In this study, we present and develop a new kind of fabric-rebound triboelectric nanogenerator (FR-TENG) that could be used for efficient energy harvesting and self-powered sensing. For improvement of electric performance, a systematic study has also been carried out to investigate various structural parameters for the property optimization of FR-TENGs. The as-made FR-TENG has shown stable electric performance in energy harvesting, cyclic washing capability, and mechanical durability. The full-textile structure of FR-TENG enhances its adaptability and rebound ability, and the open-circuit voltage, short circuit current and power density of the FR-TENG reach up to 418.09 V, 65.85 μA and 199.14 μW⋅cm−2, respectively. Furthermore, the FR-TENGs are used as smart carpets to build up a self-powered, wireless and intelligent system for monitoring human motions. This study proposes a new perspective for an all-textile TENGs and shows the advanced human-machine software interface in sensing applications.

Original languageEnglish
Article number106807
JournalNano Energy
Volume93
DOIs
Publication statusPublished - Mar 2022

Keywords

  • Energy harvesting
  • Self-powered sensors
  • Textiles
  • Triboelectric Nanogenerator
  • Wireless intelligent system

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • General Materials Science
  • Electrical and Electronic Engineering

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