摩擦电效应
纳米发生器
材料科学
电容器
激发
二极管
电压
能量收集
电气工程
整流器(神经网络)
光电子学
功率(物理)
物理
计算机科学
工程类
量子力学
随机神经网络
机器学习
循环神经网络
复合材料
人工神经网络
作者
Yawen Hu,Qianying Li,Long Li,Qinghua Yang,Shaoke Fu,Wenlin Liu,Xuemei Zhang,Haixia Yang,Chenguo Hu,Yunfei Xi
标识
DOI:10.1021/acsami.2c12862
摘要
The triboelectric nanogenerator (TENG) as an ideal low-frequency mechanical energy harvester has received extensive attention, while low output charge density limits its application. A charge excitation strategy is one of the techniques to effectively improve the surface charge density of the TENG. However, there is little in-depth research on the matching factors between the TENG and excitation circuit. Herein, a soft-contact charge excitation rotary TENG (SCER-TENG) is developed to explore the matching mechanism of different charge excitation strategies. The total output power transferred by the voltage-multiplying circuit (VMC) is 2.13 times that of the full-wave bridge rectifier, which effectively improves the output performance of the SCER-TENG. Moreover, through the established capacitor model and the theoretically calculated maximum output charge of the SCER-TENG with VMC and Zener diodes (VMC-Z), it is found that the output of the Main TENG is mainly affected by capacitors and Zener diodes. The theories have been verified by experiments. After optimization, the output charge of the Main TENG with VMC-Z (1.54 μC) is 3850% higher than that without excitation (0.04 μC). The SCER-TENG successfully harvests low-speed (2.5 m s–1) wind energy to form a self-powered system. This work has crucial instructive implications for using charge excitation strategies to improve the performance of the rotary TENG.
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