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]
卷期号:14: 161-192 被引量:1090
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
椰子汁完成签到,获得积分10
1秒前
1秒前
Bigwang发布了新的文献求助10
1秒前
zhangscience发布了新的文献求助10
2秒前
2秒前
毛豆应助ningning采纳,获得10
3秒前
5秒前
6秒前
6秒前
6秒前
gc完成签到 ,获得积分10
6秒前
胖胖龙发布了新的文献求助10
7秒前
科研通AI2S应助亦犹未进采纳,获得10
8秒前
守墓人完成签到 ,获得积分10
8秒前
skyla1003完成签到 ,获得积分10
8秒前
垃圾发布了新的文献求助10
8秒前
和谐的小懒猪完成签到,获得积分10
9秒前
阳和启蛰完成签到,获得积分10
9秒前
9秒前
陈氏完成签到,获得积分10
9秒前
是晓宇啊发布了新的文献求助10
9秒前
9秒前
传奇3应助冷艳的孤晴采纳,获得10
11秒前
我是老大应助Bigwang采纳,获得10
12秒前
像与完成签到 ,获得积分10
13秒前
端庄煎饼发布了新的文献求助10
13秒前
开心就好发布了新的文献求助10
13秒前
1121241完成签到,获得积分10
14秒前
胖胖龙完成签到,获得积分20
15秒前
dookkumi完成签到 ,获得积分10
17秒前
李健的粉丝团团长应助Mike采纳,获得10
18秒前
nicelily应助IgN采纳,获得10
18秒前
十月完成签到,获得积分10
20秒前
情怀应助认真飞瑶采纳,获得10
21秒前
Yziii应助认真飞瑶采纳,获得20
21秒前
涛涛发布了新的文献求助30
21秒前
22秒前
23秒前
24秒前
乐观寻绿完成签到,获得积分10
24秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
【本贴是提醒信息,请勿应助】请在求助之前详细阅读求助说明!!!! 20000
Evolution 5000
좌파는 어떻게 좌파가 됐나:한국 급진노동운동의 형성과 궤적 2500
Sustainability in Tides Chemistry 1500
La Chine révolutionnaire d'aujourd'hui / Van Min, Kang Hsin 1000
TM 5-855-1(Fundamentals of protective design for conventional weapons) 1000
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3044554
求助须知:如何正确求助?哪些是违规求助? 2701739
关于积分的说明 7384800
捐赠科研通 2345718
什么是DOI,文献DOI怎么找? 1241583
科研通“疑难数据库(出版商)”最低求助积分说明 603979
版权声明 595503