Impedance decoupling strategy to enhance the real-time powering performance of TENG for multi-mode sensing

Abstract Triboelectric nanogenerator can scavenge mechanical energy from environment to power sensor networks, becoming increasingly important in fields like healthcare and infrastructure. However, due to its impedance coupling with sensor networks, stimuli-induced impedance changes of sensor networ...

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Main Authors: Hao Sun, Yuxuan Xia, Jinyan Zhi, Jun Ma, Jinwan Chen, Zhekai Chu, Weihao Gao, Shuhai Liu, Yong Qin
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-61166-6
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author Hao Sun
Yuxuan Xia
Jinyan Zhi
Jun Ma
Jinwan Chen
Zhekai Chu
Weihao Gao
Shuhai Liu
Yong Qin
author_facet Hao Sun
Yuxuan Xia
Jinyan Zhi
Jun Ma
Jinwan Chen
Zhekai Chu
Weihao Gao
Shuhai Liu
Yong Qin
author_sort Hao Sun
collection DOAJ
description Abstract Triboelectric nanogenerator can scavenge mechanical energy from environment to power sensor networks, becoming increasingly important in fields like healthcare and infrastructure. However, due to its impedance coupling with sensor networks, stimuli-induced impedance changes of sensor networks will result in an inconstant output of triboelectric nanogenerator, leading to a poor real-time powering performance for sensor networks as compared with a constant voltage source; designing triboelectric nanogenerator with high powering performance to real-timely power sensor networks faces great challenges. Herein, an impedance decoupling strategy is proposed to enhance the real-time powering performance of triboelectric nanogenerator by decoupling impedances of triboelectric nanogenerator and sensor network. A shunt circuit composed of a small fixed resistor is introduced to stabilize the whole impedance of the shunt circuit and the sensor network, making the output voltage of triboelectric nanogenerator on sensors almost unchanged, and thus cut off the impedance coupling. Our results show that the strategy highly enhances the real-time powering performance of triboelectric nanogenerator for sensor networks, and achieves multi-mode sensing with relative errors as low as –4.6%, comparable to that powered by a commercial power source. This work provides useful guidance for designing triboelectric nanogenerator for multi-mode sensing, and contributes to its practical applications.
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issn 2041-1723
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spelling doaj-art-8cdb23e750ff4448b62eeea5edade00b2025-08-20T03:03:33ZengNature PortfolioNature Communications2041-17232025-07-011611910.1038/s41467-025-61166-6Impedance decoupling strategy to enhance the real-time powering performance of TENG for multi-mode sensingHao Sun0Yuxuan Xia1Jinyan Zhi2Jun Ma3Jinwan Chen4Zhekai Chu5Weihao Gao6Shuhai Liu7Yong Qin8Institute of Nanoscience and Nanotechnology, School of Materials and Energy, Lanzhou UniversityInstitute of Nanoscience and Nanotechnology, School of Materials and Energy, Lanzhou UniversityInstitute of Nanoscience and Nanotechnology, School of Materials and Energy, Lanzhou UniversityInstitute of Nanoscience and Nanotechnology, School of Materials and Energy, Lanzhou UniversityInstitute of Nanoscience and Nanotechnology, School of Materials and Energy, Lanzhou UniversityInstitute of Nanoscience and Nanotechnology, School of Materials and Energy, Lanzhou UniversityMIIT Key Laboratory of Complex-field Intelligent Exploration, Beijing Institute of TechnologyInstitute of Nanoscience and Nanotechnology, School of Materials and Energy, Lanzhou UniversityMIIT Key Laboratory of Complex-field Intelligent Exploration, Beijing Institute of TechnologyAbstract Triboelectric nanogenerator can scavenge mechanical energy from environment to power sensor networks, becoming increasingly important in fields like healthcare and infrastructure. However, due to its impedance coupling with sensor networks, stimuli-induced impedance changes of sensor networks will result in an inconstant output of triboelectric nanogenerator, leading to a poor real-time powering performance for sensor networks as compared with a constant voltage source; designing triboelectric nanogenerator with high powering performance to real-timely power sensor networks faces great challenges. Herein, an impedance decoupling strategy is proposed to enhance the real-time powering performance of triboelectric nanogenerator by decoupling impedances of triboelectric nanogenerator and sensor network. A shunt circuit composed of a small fixed resistor is introduced to stabilize the whole impedance of the shunt circuit and the sensor network, making the output voltage of triboelectric nanogenerator on sensors almost unchanged, and thus cut off the impedance coupling. Our results show that the strategy highly enhances the real-time powering performance of triboelectric nanogenerator for sensor networks, and achieves multi-mode sensing with relative errors as low as –4.6%, comparable to that powered by a commercial power source. This work provides useful guidance for designing triboelectric nanogenerator for multi-mode sensing, and contributes to its practical applications.https://doi.org/10.1038/s41467-025-61166-6
spellingShingle Hao Sun
Yuxuan Xia
Jinyan Zhi
Jun Ma
Jinwan Chen
Zhekai Chu
Weihao Gao
Shuhai Liu
Yong Qin
Impedance decoupling strategy to enhance the real-time powering performance of TENG for multi-mode sensing
Nature Communications
title Impedance decoupling strategy to enhance the real-time powering performance of TENG for multi-mode sensing
title_full Impedance decoupling strategy to enhance the real-time powering performance of TENG for multi-mode sensing
title_fullStr Impedance decoupling strategy to enhance the real-time powering performance of TENG for multi-mode sensing
title_full_unstemmed Impedance decoupling strategy to enhance the real-time powering performance of TENG for multi-mode sensing
title_short Impedance decoupling strategy to enhance the real-time powering performance of TENG for multi-mode sensing
title_sort impedance decoupling strategy to enhance the real time powering performance of teng for multi mode sensing
url https://doi.org/10.1038/s41467-025-61166-6
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