摩擦电效应
解耦(概率)
能量收集
计算机科学
可穿戴计算机
可穿戴技术
系统工程
高效能源利用
电阻抗
电气工程
能量(信号处理)
系统设计
电子工程
纳米技术
能源管理
光学(聚焦)
机械能
工程类
纳米机电系统
材料科学
功能(生物学)
能量转换
电源管理
智能系统
作者
Chuang Ye,Ruichao Zhang,Hao Sun,Shuhai Liu
出处
期刊:Small
[Wiley]
日期:2026-02-12
卷期号:22 (19): e14433-e14433
标识
DOI:10.1002/smll.202514433
摘要
Self-Powered sensing systems based on triboelectric nanogenerators (TENGs) have attracted significant attention across various fields, including healthcare, wearable sensing, and environmental monitoring due to their ability to harvest ambient mechanical energy and convert the energy into electricity; simultaneously, their electrical output, which is sensitive to mechanical inputs (e.g., force, frequency) and environmental factors (e.g., humidity, temperature), enables them to function directly as sensors. Over the past decade, research efforts have primarily focused on enhancing TENG output and extending application scenarios through material modifications and device designs, alongside stabilizing its output performance via energy management circuits. Recently, significant advances have been made in improving TENG's powering performance using strategies such as impedance decoupling (e.g., synchronous switch, shunt circuit) and self-calibration, which also substantially enhance the sensing accuracy of self-powered sensing. Here, we systematically review the evolution of TENG-based self-powered sensing over the past decade first, then focus on recent progress, particularly in enhancing the powering performance of TENG for accurate self-powered sensing, and propose guidelines for constructing self-powered sensing systems. Finally, we discuss the current challenges and prospects for TENG development in self-powered sensing.
科研通智能强力驱动
Strongly Powered by AbleSci AI