Micro Kinetic Energy Harvesting for Autonomous Wearable Devices

M. Magno, Dario Kneubuehler, Philipp Mayer, L. Benini
{"title":"Micro Kinetic Energy Harvesting for Autonomous Wearable Devices","authors":"M. Magno, Dario Kneubuehler, Philipp Mayer, L. Benini","doi":"10.1109/SPEEDAM.2018.8445342","DOIUrl":null,"url":null,"abstract":"For wearable devices, the availability of energy is one of the main limiting factors of performance and lifetime. To overcome this issue, micro-energy harvesting circuits, which extract energy from the environment, are very promising. Among other environmental sources, kinetic energy could significantly improve the energy availability in wearable applications. However, the majority of kinetic energy harvesting circuits do not perform well with the low-frequency patterns found in human motion and are therefore not suited for wearable devices. This paper aims to overcome this limitation by developing a high-efficiency energy harvesting system, which is optimized for frequencies occurring in human motion. A Micro Generator System (MGS) 26.4, by Kinetron, has been exploited as a kinetic transducer to generate energy. The implemented kinetic harvesting system has been designed to maximize the energy conversion efficiency and supply and recharge wearable devices. The final design has been implemented and field-tested in different positions on the human body. Experimental measurements demonstrate the end-to-end efficiency of up to 84%, and an average power of up to $\\mathbf{624\\mu W}$, which is superior to the state-of-art for the type of MGS. Moreover, a preliminary evaluation of the correlation between acceleration and power harvested is presented. Using the values obtained from experimental data, we estimate that two hours of walking and 30 minutes of running per day can provide 1.4 joules of electrical energy.","PeriodicalId":117883,"journal":{"name":"2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPEEDAM.2018.8445342","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26

Abstract

For wearable devices, the availability of energy is one of the main limiting factors of performance and lifetime. To overcome this issue, micro-energy harvesting circuits, which extract energy from the environment, are very promising. Among other environmental sources, kinetic energy could significantly improve the energy availability in wearable applications. However, the majority of kinetic energy harvesting circuits do not perform well with the low-frequency patterns found in human motion and are therefore not suited for wearable devices. This paper aims to overcome this limitation by developing a high-efficiency energy harvesting system, which is optimized for frequencies occurring in human motion. A Micro Generator System (MGS) 26.4, by Kinetron, has been exploited as a kinetic transducer to generate energy. The implemented kinetic harvesting system has been designed to maximize the energy conversion efficiency and supply and recharge wearable devices. The final design has been implemented and field-tested in different positions on the human body. Experimental measurements demonstrate the end-to-end efficiency of up to 84%, and an average power of up to $\mathbf{624\mu W}$, which is superior to the state-of-art for the type of MGS. Moreover, a preliminary evaluation of the correlation between acceleration and power harvested is presented. Using the values obtained from experimental data, we estimate that two hours of walking and 30 minutes of running per day can provide 1.4 joules of electrical energy.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
自主可穿戴设备的微动能收集
对于可穿戴设备来说,能量的可用性是其性能和寿命的主要限制因素之一。为了克服这个问题,从环境中提取能量的微型能量收集电路是非常有前途的。在其他环境资源中,动能可以显著提高可穿戴应用的能源可用性。然而,大多数动能收集电路在人体运动中发现的低频模式下表现不佳,因此不适合可穿戴设备。本文旨在通过开发一种高效的能量收集系统来克服这一限制,该系统针对人体运动中出现的频率进行了优化。Kinetron公司开发的微型发电机系统(MGS) 26.4已被用作动能换能器来产生能量。所实施的动能收集系统被设计为最大限度地提高能量转换效率和可穿戴设备的供电和充电。最终的设计已经在人体的不同位置进行了实施和现场测试。实验测量表明,端到端效率高达84%,平均功率高达$\mathbf{624\mu W}$,优于目前最先进的MGS类型。此外,还对加速度与收获功率之间的关系进行了初步评价。利用实验数据得到的值,我们估计每天步行2小时和跑步30分钟可以提供1.4焦耳的电能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Diagnosis of Interturn Short-Circuit Fault in PMSM by Residual Voltage Analysis Analytical Time Domain Flux-MMF Model for the Flux Switching Machine Active Rectification for the Optimal Control of Bidirectional Resonant Wireless Power Transfer Automatic Variable Magnetic Flux Technique in Consequent Pole Type PM-Motor Utilizing Space Harmonic Basic Characteristics of an Ultra-lightweight Magnetic Resonance Coupling Machine with a Cage Rotor
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1