摩擦电效应
整流器(神经网络)
纳米发生器
材料科学
电容感应
电气工程
功率(物理)
光电子学
声学
电压
物理
工程类
计算机科学
复合材料
循环神经网络
机器学习
随机神经网络
量子力学
人工神经网络
作者
Ali Ghaffarinejad,Javad Yavand Hasani,Dimitri Galayko,Philippe Basset
出处
期刊:Nano Energy
[Elsevier]
日期:2019-09-26
卷期号:66: 104137-104137
被引量:35
标识
DOI:10.1016/j.nanoen.2019.104137
摘要
In this brief communication the performance of a half-wave rectifier is compared with a full-wave rectifier as a conditioning circuit (CC) for a triboelectric nanogenerator (TENG) in providing electrical energy to a capacitive load. Contrary to the common understanding, it is shown that half-wave circuit provides a higher maximum energy to the capacitive load compared to full-wave. Formulas are provided to calculate the maximum energy delivered by the TENG to a capacitive load. Theoretical results show the enhanced performance of the half-wave CC compared to the full-wave. A TENG working in contact-separation mode is fabricated and tested with both CC's and experimental results show a very good agreement with theoretical derivations, and confirm that half-wave CC provides a higher energy to the load compared to full-wave. The outcomes of this report should be useful for the researchers working on the development of CC's for TENG's.
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