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An optimized design for dielectric layer charges distribution towards high-performance output of TENG and its multifunctional applications

  • Yunfeng Wang
  • , Haibao Mu
  • , Shasha He
  • , Huanmin Yao
  • , Shuai Wang
  • , Yiyun Yang
  • , Guanjun Zhang
  • Xi'an Jiaotong University
  • Ltd.

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

In the Internet of Things (IoT) era, self-powered sensors provide an effective way to solve the energy problem. In this paper, a V2CTx-BaTiO3-V2CTx@Ecoflex (VBV) composite dielectric layer membrane with a sandwich structure is proposed and used to construct self-powered flexible sensor devices. Due to the charge trapping ability of the V2CTx layer with abundant functional groups and the charge storage ability of the BaTiO3 layer, the charge loss of the device during contact- separation gets reduced, which improves the TENG output performance. The peak voltage of VBV-TENG is up to 550 V, which is 1.6 and 1.8 times higher than the output of TENG based on V2CTx and BaTiO3 doping in separate, respectively. The VBV-TENG can light up to 400 LEDs under tapping and achieve a power density of 12.8 W/m2 with optimal impedance matching. It can not only be used as an energy-harvesting device, but has also been shown to be a self-powered pressure sensor with an ultra-high sensitivity of 23.7 V/kPa, which can be used for the monitoring of human movement physiological signals. Finally, a self-powered flexible material recognition sensor based on the VBV composite dielectric layer is constructed by rational design, which realizes the effective recognition of various materials. This study provides a new pathway for design of high-performance dielectric layer of TENG, and explores the application of realizing multifunctional self-powered sensors based on TENG.

Original languageEnglish
Article number162397
JournalChemical Engineering Journal
Volume512
DOIs
StatePublished - 15 May 2025

Keywords

  • Improved charge distribution
  • Material identification
  • Triboelectric nanogenerator
  • Wearable Sensors

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