Theoretical systems of triboelectric nanogenerators

摩擦电效应 纳米发生器 材料科学 电容 电容器 静电感应 机械能 接触带电 电压 电气工程 电容感应 整流器(神经网络) 能量收集 功率(物理) 电极 物理 工程类 计算机科学 随机神经网络 机器学习 循环神经网络 复合材料 量子力学 人工神经网络
作者
Simiao Niu,Zhong Lin Wang
出处
期刊:Nano Energy [Elsevier BV]
卷期号:14: 161-192 被引量:1439
标识
DOI:10.1016/j.nanoen.2014.11.034
摘要

Triboelectric nanogenerator (TENG) technology based on contact electrification and electrostatic induction is an emerging new mechanical energy harvesting technology with numerous advantages. The current area power density of TENGs has reached 313 W/m2 and their volume energy density has reached 490 kW/m3. In this review, we systematically analyzed the theoretical system of triboelectric nanogenerators. Starting from the physics of TENGs, we thoroughly discussed their fundamental working principle and simulation method. Then the intrinsic output characteristics, load characteristics, and optimization strategy is in-depth discussed. TENGs have inherent capacitive behavior and their governing equation is their V–Q–x relationship. There are two capacitance formed between the tribo-charged dielectric surface and the two metal electrodes, respectively. The ratio of these two capacitances changes with the position of this dielectric surface, inducing electrons to transfer between the metal electrodes under short circuit conditions. This is the core working mechanism of triboelectric generators and different TENG fundamental modes can be classified based on the changing behavior of these two capacitances. Their first-order lumped-parameter equivalent circuit model is a voltage source in series with a capacitor. Their resistive load characteristics have a “three-working-region” behavior because of the impedance match mechanism. Besides, when TENGs are utilized to charge a capacitor with a bridge rectifier in multiple motion cycles, it is equivalent to utilizing a constant DC voltage source with an internal resistance to charge. The optimization techniques for all TENG fundamental modes are also discussed in detail. The theoretical system reviewed in this work provides a theoretical basis of TENGs and can be utilized as a guideline for TENG designers to continue improving TENG output performance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
rrr发布了新的文献求助10
刚刚
科研通AI6.2应助研友_n0GBAL采纳,获得10
1秒前
Iamak24完成签到,获得积分0
1秒前
三点前我必睡完成签到 ,获得积分10
1秒前
1秒前
1秒前
2秒前
张嘻嘻应助fangfang采纳,获得20
3秒前
3秒前
无风风发布了新的文献求助10
4秒前
4秒前
Bucky发布了新的文献求助10
4秒前
Orange应助于鱼采纳,获得10
4秒前
JDL关闭了JDL文献求助
5秒前
上官若男应助HCl采纳,获得10
5秒前
转身在街角完成签到,获得积分10
5秒前
LYJ发布了新的文献求助50
5秒前
科研通AI6.1应助细雨采纳,获得10
5秒前
可爱的函函应助细雨采纳,获得10
6秒前
YAN发布了新的文献求助10
6秒前
6680668发布了新的文献求助10
6秒前
科科完成签到,获得积分10
7秒前
llm的同桌发布了新的文献求助10
7秒前
7秒前
7秒前
8秒前
FF发布了新的文献求助10
8秒前
Husky完成签到,获得积分10
8秒前
星辰大海应助高高采纳,获得10
10秒前
李健的小迷弟应助JPH1990采纳,获得10
11秒前
xylx1934完成签到,获得积分10
11秒前
try关注了科研通微信公众号
11秒前
mikiisme发布了新的文献求助10
13秒前
倩倩发布了新的文献求助10
13秒前
科研通AI6.3应助ahhh采纳,获得10
14秒前
杨除夕发布了新的文献求助10
14秒前
我是老大应助欢喜的尔烟采纳,获得10
16秒前
认真搞科研啦完成签到,获得积分10
16秒前
16秒前
17秒前
高分求助中
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
GMP in Practice: Regulatory Expectations for the Pharmaceutical Industry 500
简明药物化学习题答案 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6298498
求助须知:如何正确求助?哪些是违规求助? 8115425
关于积分的说明 16989531
捐赠科研通 5359801
什么是DOI,文献DOI怎么找? 2847488
邀请新用户注册赠送积分活动 1824899
关于科研通互助平台的介绍 1679320