摩擦电效应
纳米发生器
整改
机械能
能量收集
整流器(神经网络)
电气工程
直流电
功率(物理)
工程类
计算机科学
电压
材料科学
物理
随机神经网络
量子力学
机器学习
循环神经网络
复合材料
人工神经网络
作者
Chuncai Shan,Kaixian Li,Yuntao Cheng,Chenguo Hu
出处
期刊:Nano-micro Letters
[Springer Science+Business Media]
日期:2023-05-20
卷期号:15 (1)
被引量:47
标识
DOI:10.1007/s40820-023-01115-4
摘要
As hundreds of millions of distributed devices appear in every corner of our lives for information collection and transmission in big data era, the biggest challenge is the energy supply for these devices and the signal transmission of sensors. Triboelectric nanogenerator (TENG) as a new energy technology meets the increasing demand of today's distributed energy supply due to its ability to convert the ambient mechanical energy into electric energy. Meanwhile, TENG can also be used as a sensing system. Direct current triboelectric nanogenerator (DC-TENG) can directly supply power to electronic devices without additional rectification. It has been one of the most important developments of TENG in recent years. Herein, we review recent progress in the novel structure designs, working mechanism and corresponding method to improve the output performance for DC-TENGs from the aspect of mechanical rectifier, tribovoltaic effect, phase control, mechanical delay switch and air-discharge. The basic theory of each mode, key merits and potential development are discussed in detail. At last, we provide a guideline for future challenges of DC-TENGs, and a strategy for improving the output performance for commercial applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI