Impedance decoupling strategy to enhance the real-time powering performance of TENG for multi-mode sensing
Hao Sun,
Yuxuan Xia,
Jinyan Zhi,
Jun Ma,
Jinwan Chen,
Zhekai Chu,
Weihao Gao,
Shuhai Liu () and
Yong Qin ()
Additional contact information
Hao Sun: Lanzhou University
Yuxuan Xia: Lanzhou University
Jinyan Zhi: Lanzhou University
Jun Ma: Lanzhou University
Jinwan Chen: Lanzhou University
Zhekai Chu: Lanzhou University
Weihao Gao: Beijing Institute of Technology
Shuhai Liu: Lanzhou University
Yong Qin: Beijing Institute of Technology
Nature Communications, 2025, vol. 16, issue 1, 1-9
Abstract:
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.
Date: 2025
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DOI: 10.1038/s41467-025-61166-6
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