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Micro linear generator for harvesting mechanical energy from the human gait

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  • Gui, Peng
  • Deng, Fang
  • Liang, Zelang
  • Cai, Yeyun
  • Chen, Jie

Abstract

A type of multipolar linear permanent magnet generator (MLPMG) was developed in order to harvest human lower-limb motion energy to meet the increasing power supply needs of portable electronic devices. A large acceleration of the foot, particularly at the heel, was noted when analyzing human lower-limb motion during walking, so an energy harvester was placed on the heel. A series of MLPMGs were then designed and the static magnetic induction intensity vector diagram was obtained from each. A key parameter of MLMPG efficiency was found to be the gap between the stator and mover. Another important factor is the thickness of the mover spacers between magnet pieces. Finally, a number of experiments were conducted, which supported the conclusion that the output power of harvesters have negative relation with length of gap and thickness of spacers. It was found that a subject, walking at a speed of 5 km/h with a matched resistor load, can produce an output power of 20 mW.

Suggested Citation

  • Gui, Peng & Deng, Fang & Liang, Zelang & Cai, Yeyun & Chen, Jie, 2018. "Micro linear generator for harvesting mechanical energy from the human gait," Energy, Elsevier, vol. 154(C), pages 365-373.
  • Handle: RePEc:eee:energy:v:154:y:2018:i:c:p:365-373
    DOI: 10.1016/j.energy.2018.04.123
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    References listed on IDEAS

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    1. Lu, Zhisong & Zhang, Huihui & Mao, Cuiping & Li, Chang Ming, 2016. "Silk fabric-based wearable thermoelectric generator for energy harvesting from the human body," Applied Energy, Elsevier, vol. 164(C), pages 57-63.
    2. Wong, Voon-Kean & Ho, Jee-Hou & Chai, Ai-Bao, 2017. "Performance of a piezoelectric energy harvester in actual rain," Energy, Elsevier, vol. 124(C), pages 364-371.
    3. Viet, N.V. & Xie, X.D. & Liew, K.M. & Banthia, N. & Wang, Q., 2016. "Energy harvesting from ocean waves by a floating energy harvester," Energy, Elsevier, vol. 112(C), pages 1219-1226.
    4. Lu, Chen & Zhang, Lipin & Ma, Jian & Chen, Zihan & Tao, Laifa & Su, Yuzhuan & Chong, Jin & Jin, Haizu & Lin, Yongshou, 2017. "Li-ion battery capacity cycling fading dynamics cognition: A stochastic approach," Energy, Elsevier, vol. 137(C), pages 251-259.
    5. Sue, Chung-Yang & Tsai, Nan-Chyuan, 2012. "Human powered MEMS-based energy harvest devices," Applied Energy, Elsevier, vol. 93(C), pages 390-403.
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    Cited by:

    1. Jeong, Se Yeong & Hwang, Won Seop & Cho, Jae Yong & Jeong, Jae Chul & Ahn, Jung Hwan & Kim, Kyung Bum & Hong, Seong Do & Song, Gyeong Ju & Jeon, Deok Hwan & Sung, Tae Hyun, 2019. "Piezoelectric device operating as sensor and harvester to drive switching circuit in LED shoes," Energy, Elsevier, vol. 177(C), pages 87-93.
    2. Deng, Fang & Cai, Yeyun & Fan, Xinyu & Gui, Peng & Chen, Jie, 2019. "Pressure-type generator for harvesting mechanical energy from human gait," Energy, Elsevier, vol. 171(C), pages 785-794.
    3. Qian, Feng & Xu, Tian-Bing & Zuo, Lei, 2019. "Piezoelectric energy harvesting from human walking using a two-stage amplification mechanism," Energy, Elsevier, vol. 189(C).

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