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A novel electromagnetic energy harvester based on the bending of the sole

Author

Listed:
  • Wang, Suo
  • Miao, Gang
  • Zhou, Shengxi
  • Yang, Zhichun
  • Yurchenko, Daniil

Abstract

Converting mechanical energy into electrical energy during human walking can power the portable electronic devices applied in navigation, gait monitoring, and biofeedback, etc. This paper presents a novel electromagnetic energy harvester based on the bending of the sole to provide electric energy to portable sensors and small devices. The harvester mainly consists of a four-bar linkage, a one-way clutch, a propeller shaft, two bevel gears, a gearbox, and a brushless DC electromagnetic generator, which can covert the bending motion of the sole into the unidirectional rotation of the generator shaft. Then the generator will rotate and generate electrical energy (DC). A prototype is fabricated to demonstrate the feasibility and the practical application of the harvester, and the working principle is explained. The output voltage and output power at different walking speeds are acquired and analyzed. Numerical and experimental results demonstrate that the presented harvester works well and has considerable output power at human normal walking speeds. For a 72 kg test person, the presented harvester can effectively work at the walking speeds ranging from 1 km/h to 7 km/h with the average output power around 10 mW, which is high enough to power low-powered portable devices. The average power density is about 0.43 mW/cm3, 0.42 mW/cm3 and 0.2 mW/cm3 at the walking speed of 4 km/h, 6 km/h and 8 km/h, respectively. Overall, this research may provide a new way and framework to design high-efficiency energy harvesters used for human motion energy harvesting.

Suggested Citation

  • Wang, Suo & Miao, Gang & Zhou, Shengxi & Yang, Zhichun & Yurchenko, Daniil, 2022. "A novel electromagnetic energy harvester based on the bending of the sole," Applied Energy, Elsevier, vol. 314(C).
  • Handle: RePEc:eee:appene:v:314:y:2022:i:c:s0306261922004093
    DOI: 10.1016/j.apenergy.2022.119000
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    References listed on IDEAS

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    1. Turkmen, Anil Can & Celik, Cenk, 2018. "Energy harvesting with the piezoelectric material integrated shoe," Energy, Elsevier, vol. 150(C), pages 556-564.
    2. Miao, Gang & Fang, Shitong & Wang, Suo & Zhou, Shengxi, 2022. "A low-frequency rotational electromagnetic energy harvester using a magnetic plucking mechanism," Applied Energy, Elsevier, vol. 305(C).
    3. Gao, Mingyuan & Su, Chengguang & Cong, Jianli & Yang, Fan & Wang, Yifeng & Wang, Ping, 2019. "Harvesting thermoelectric energy from railway track," Energy, Elsevier, vol. 180(C), pages 315-329.
    4. Ma, Zeyu & Yang, Ruixin & Wang, Zhenpo, 2019. "A novel data-model fusion state-of-health estimation approach for lithium-ion batteries," Applied Energy, Elsevier, vol. 237(C), pages 836-847.
    5. Fan, Kangqi & Qu, Hengheng & Wu, Yipeng & Wen, Tao & Wang, Fei, 2020. "Design and development of a rotational energy harvester for ultralow frequency vibrations and irregular human motions," Renewable Energy, Elsevier, vol. 156(C), pages 1028-1039.
    6. Liu, Mingyi & Lin, Rui & Zhou, Shengxi & Yu, Yilun & Ishida, Aki & McGrath, Margarita & Kennedy, Brook & Hajj, Muhammad & Zuo, Lei, 2018. "Design, simulation and experiment of a novel high efficiency energy harvesting paver," Applied Energy, Elsevier, vol. 212(C), pages 966-975.
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    Cited by:

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    2. Bai, Shanming & Cui, Juan & Zheng, Yongqiu & Li, Gang & Liu, Tingshan & Liu, Yabing & Hao, Congcong & Xue, Chenyang, 2023. "Electromagnetic-triboelectric energy harvester based on vibration-to-rotation conversion for human motion energy exploitation," Applied Energy, Elsevier, vol. 329(C).
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    4. Qi, Lingfei & Song, Juhuang & Wang, Yuan & Yi, Minyi & Zhang, Zutao & Yan, Jinyue, 2024. "Mechanical motion rectification-based electromagnetic vibration energy harvesting technology: A review," Energy, Elsevier, vol. 289(C).

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