Enhanced electromagnetic wrist-worn energy harvester using repulsive magnetic spring

被引:49
|
作者
Cai, Mingjing [1 ]
Liao, Wei-Hsin [1 ]
机构
[1] Chinese Univ Hong Kong, Shatin, Dept Mech & Automat Engn, Hong Kong, Peoples R China
关键词
Wrist-worn device; Energy harvester; Arm swing; Magnetic spring; GENERATING ELECTRICITY; WALKING; DESIGN; SPEED;
D O I
10.1016/j.ymssp.2020.107251
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
While wrist-worn electronics have great potential in a variety of areas, their applications are currently constrained by the limited working time of their electrochemical batteries. Harvesting energy from arm swinging motions provides a promising means to address this issue. In this work, we introduce a tiny repulsive magnetic spring to improve the performance of a wrist-worn inertial energy harvester. In contrast to conventional inertial rotational energy harvesters, the proposed device contains a repulsive magnetic spring that consists of two pairs of repulsive magnets. The existence of the magnetic spring lowers the potential energy well depth of the energy harvester by reducing the system's stiffness, thereby enhancing power generation. An analytical model is built to predict the system performance and investigate the effects of the magnetic spring air gap. To validate this design, a prototype is constructed and tested using a bench-top excitation source that emulates the swinging motion of the human arm. The experiments show that, in the tested excitation frequency (0.7-1.3 Hz) and air gap (2.2-3.6 mm) ranges, the average output power is significantly enhanced by the magnetic spring and smaller air gap of magnets results in more improvement, which agrees well with the simulation results. With the requirement of a minimal amount of space, the magnetic spring helps the energy harvester achieve maximum output power of 151 mu W with an air gap of 2.6 mm at 1.3 Hz. Additionally, a maximum power improvement of 425% for an air gap of 2.2 mm at 0.7 Hz is achieved compared with the conventional wrist-worn inertial energy harvester. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] WristWash: Towards Automatic Handwashing Assessment Using a Wrist-worn Device
    Li, Hong
    Chawla, Shishir
    Li, Richard
    Jain, Sumeet
    Abowd, Gregory D.
    Starner, Thad
    Zhang, Cheng
    Plotz, Thomas
    ISWC'18: PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS, 2018, : 132 - 139
  • [42] SafeDrive: Detecting Distracted Driving Behaviors Using Wrist-Worn Devices
    Jiang, Landu
    Lin, Xinye
    Liu, Xue
    Bi, Chongguang
    Xing, Guoliang
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2017, 1 (04)
  • [43] Activity Recognition Using Wrist-Worn Sensors for Human Performance Evaluation
    Minh Nguyen
    Fan, Liyue
    Shahabi, Cyrus
    2015 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOP (ICDMW), 2015, : 164 - 169
  • [44] Estimating Quality of Reaching Movement Using a Wrist-Worn Inertial Sensor
    Oubre, Brandon
    Daneault, Jean-Francois
    Jung, Hee-Tae
    Park, Joonwoo
    Ryu, Taekyeong
    Kim, Yangsoo
    Lee, Sunghoon Ivan
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 3719 - 3722
  • [45] Sleep Measurement Using Wrist-Worn Accelerometer Data Compared with Polysomnography
    Chase, John D.
    Busa, Michael A.
    Staudenmayer, John W.
    Sirard, John R.
    SENSORS, 2022, 22 (13)
  • [46] WristSpy: Snooping Passcodes in Mobile Payment Using Wrist-worn Wearables
    Wang, Chen
    Liu, Jian
    Guo, Xiaonan
    Wang, Yan
    Chen, Yingying
    IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2019), 2019, : 2071 - 2079
  • [47] BeautyNet: A Makeup Activity Recognition Framework using Wrist-worn Sensor
    Albargi, Fatimah
    Khan, Naima
    Ghosh, Indrajeet
    Roy, Ahana
    2023 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING, SMARTCOMP, 2023, : 279 - 284
  • [48] Towards Automated Assessment of Frailty Status Using a Wrist-Worn Device
    Minici, Domenico
    Cola, Guglielmo
    Giordano, Antonella
    Antoci, Silvana
    Girardi, Elena
    Di Bari, Mauro
    Avvenuti, Marco
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 26 (03) : 1013 - 1022
  • [49] Continuous Identification in Smart Environments Using Wrist-Worn Inertial Sensors
    Guinea, Alejandro S.
    Boytsov, Andrey
    Mouline, Ludovic
    Le Traon, Yves
    PROCEEDINGS OF THE 15TH EAI INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES (MOBIQUITOUS 2018), 2018, : 87 - 96
  • [50] Task-Based Continuous Authentication Using Wrist-Worn Devices
    Ali, Zaire
    Payton, Jamie
    2021 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS (PERCOM WORKSHOPS), 2021, : 642 - 647