Design and Numerical Analysis of an Electrostatic Energy Harvester With Impact for Frequency Up-Conversion

声学 振动 能量收集 功率(物理) 控制理论(社会学) 物理 计算机科学 量子力学 人工智能 控制(管理)
作者
Ruud Lensvelt,Rhb Rob Fey,Rmc Rob Mestrom,Henk Nijmeijer
出处
期刊:Journal of Computational and Nonlinear Dynamics [ASM International]
卷期号:15 (5) 被引量:4
标识
DOI:10.1115/1.4046664
摘要

Abstract Integration of vibration energy harvesters (VEHs) with small-scale electronic devices may form an attractive alternative for relatively large batteries and can, potentially, increase their lifespan. However, the inherent mismatch between a harvester's high-frequency resonance, typically in the range 100−1000 Hz, relative to the available low-frequency ambient vibrations, typically in the range 10–100 Hz, means that low-frequency power generation in microscale VEHs remains a persistent challenge. In this work, we model a novel electret-based, electrostatic energy harvester (EEH) design. In this design, we combine an out-of-plane gap-closing comb (OPGC) configuration for the low-frequency oscillator with an in-plane overlap comb configuration for the high-frequency oscillator and employ impact for frequency up-conversion. An important design feature is the tunability of the resonance frequency through the electrostatic nonlinearity of the low-frequency oscillator. Impulsive normal forces due to impact are included in numerical simulation of the EEH through Moreau's time-stepping scheme which has, to the best of our knowledge, not been used before in VEH design and analysis. The original scheme is extended with time-step adjustments around impact events to reduce computational time. Using frequency sweeps, we numerically investigate power generation under harmonic, ambient vibrations. Results show improved low-frequency power generation in this EEH compared to a reference EEH. The EEH design shows peak power generation improvement of up to a relative factor 3.2 at low frequencies due to the occurrence of superharmonic resonances.

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
candl发布了新的文献求助20
2秒前
小梁同学发布了新的文献求助10
2秒前
祁轩完成签到,获得积分10
2秒前
3秒前
Akim应助执着涵柳采纳,获得10
4秒前
7秒前
7秒前
脑洞疼应助walalalla采纳,获得10
8秒前
gy7890622完成签到,获得积分20
8秒前
8秒前
weixia发布了新的文献求助10
8秒前
小马甲应助阿呆采纳,获得10
9秒前
文艺寄灵发布了新的文献求助10
11秒前
houbin完成签到,获得积分10
11秒前
wpz关注了科研通微信公众号
13秒前
沉静白卉发布了新的文献求助10
13秒前
Coolkid2001完成签到,获得积分10
13秒前
于小小于完成签到 ,获得积分10
13秒前
gy7890622发布了新的文献求助10
13秒前
13秒前
14秒前
16秒前
16秒前
困锟完成签到,获得积分10
16秒前
隐形曼青应助lulu采纳,获得10
17秒前
17秒前
怀安完成签到,获得积分10
18秒前
18秒前
18秒前
molihuakai应助weixia采纳,获得10
19秒前
19秒前
戴泽发布了新的文献求助10
20秒前
21秒前
wangzifan发布了新的文献求助10
22秒前
阿涛发布了新的文献求助30
22秒前
qq发布了新的文献求助10
22秒前
阿呆发布了新的文献求助10
23秒前
walalalla发布了新的文献求助10
24秒前
25秒前
桐桐应助周周采纳,获得10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Health Psychology 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7596262
求助须知:如何正确求助?哪些是违规求助? 9172685
关于积分的说明 19636668
捐赠科研通 7173297
什么是DOI,文献DOI怎么找? 3267980
关于科研通互助平台的介绍 2432746
邀请新用户注册赠送积分活动 2261163