IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v314y2022ics0306261922004093.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922004093
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2022.119000?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Turkmen, Anil Can & Celik, Cenk, 2018. "Energy harvesting with the piezoelectric material integrated shoe," Energy, Elsevier, vol. 150(C), pages 556-564.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Wang, Shiwen & Yu, Zhaoyong & Wang, Lili & Wang, Yijia & Yu, Deyou & Wu, Minghua, 2023. "A core-shell structured barium titanate nanoparticles for the enhanced piezoelectric performance of wearable nanogenerator," Applied Energy, Elsevier, vol. 351(C).
    3. 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).
    4. Lai, Zhihui & Xu, Junchen & Fang, Shitong & Qiao, Zijian & Wang, Suo & Wang, Chen & Huang, Zhangjun & Zhou, Shengxi, 2023. "Energy harvesting from a hybrid piezo-dielectric vibration energy harvester with a self-priming circuit," Energy, Elsevier, vol. 273(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Mingyi & Qian, Feng & Mi, Jia & Zuo, Lei, 2022. "Biomechanical energy harvesting for wearable and mobile devices: State-of-the-art and future directions," Applied Energy, Elsevier, vol. 321(C).
    2. Azam, Ali & Ahmed, Ammar & Kamran, Muhammad Sajid & Hai, Li & Zhang, Zutao & Ali, Asif, 2021. "Knowledge structuring for enhancing mechanical energy harvesting (MEH): An in-depth review from 2000 to 2020 using CiteSpace," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    3. Zou, Hong-Xiang & Zhu, Quan-Wei & He, Jia-Yi & Zhao, Lin-Chuan & Wei, Ke-Xiang & Zhang, Wen-Ming & Du, Rong-Hua & Liu, Sheng, 2024. "Energy harvesting floor using sustained-release regulation mechanism for self-powered traffic management," Applied Energy, Elsevier, vol. 353(PA).
    4. Arias, Francisco J. & De Las Heras, Salvador, 2019. "The use of compliant surfaces for harvesting energy from water streams," Energy, Elsevier, vol. 189(C).
    5. Zuo, Jianyong & Dong, Liwei & Yang, Fan & Guo, Ziheng & Wang, Tianpeng & Zuo, Lei, 2023. "Energy harvesting solutions for railway transportation: A comprehensive review," Renewable Energy, Elsevier, vol. 202(C), pages 56-87.
    6. Peng, Yan & Xu, Zhibing & Wang, Min & Li, Zhongjie & Peng, Jinlin & Luo, Jun & Xie, Shaorong & Pu, Huayan & Yang, Zhengbao, 2021. "Investigation of frequency-up conversion effect on the performance improvement of stack-based piezoelectric generators," Renewable Energy, Elsevier, vol. 172(C), pages 551-563.
    7. Xie, Xiangdong & Wang, Zijing & Zhang, Jiankun & Zhao, Yan & Du, Guofeng & Luo, Mingzhang & Lei, Ming, 2022. "A study on a novel piezoelectric bricks made of double-storey piezoelectric coupled beams," Energy, Elsevier, vol. 250(C).
    8. 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).
    9. Gao, Mingyuan & Cong, Jianli & Xiao, Jieling & He, Qing & Li, Shoutai & Wang, Yuan & Yao, Ye & Chen, Rong & Wang, Ping, 2020. "Dynamic modeling and experimental investigation of self-powered sensor nodes for freight rail transport," Applied Energy, Elsevier, vol. 257(C).
    10. Shehzar Shahzad Sheikh & Mahnoor Anjum & Muhammad Abdullah Khan & Syed Ali Hassan & Hassan Abdullah Khalid & Adel Gastli & Lazhar Ben-Brahim, 2020. "A Battery Health Monitoring Method Using Machine Learning: A Data-Driven Approach," Energies, MDPI, vol. 13(14), pages 1-16, July.
    11. Zhang, Junwei & Zhang, Weige & Sun, Bingxiang & Zhang, Yanru & Fan, Xinyuan & Zhao, Bo, 2024. "A novel method of battery pack energy health estimation based on visual feature learning," Energy, Elsevier, vol. 293(C).
    12. Wang, Yilong & Yang, Zhengbao & Cao, Dengqing, 2021. "On the offset distance of rotational piezoelectric energy harvesters," Energy, Elsevier, vol. 220(C).
    13. Dong, Liwei & Zuo, Jianyong & Wang, Tianpeng & Xue, Wenbin & Wang, Ping & Li, Jun & Yang, Fan, 2022. "Enhanced piezoelectric harvester for track vibration based on tunable broadband resonant methodology," Energy, Elsevier, vol. 254(PA).
    14. Fang, Zheng & Tan, Xing & Liu, Genshuo & Zhou, Zijie & Pan, Yajia & Ahmed, Ammar & Zhang, Zutao, 2022. "A novel vibration energy harvesting system integrated with an inertial pendulum for zero-energy sensor applications in freight trains," Applied Energy, Elsevier, vol. 318(C).
    15. Zhao, Lin-Chuan & Zhou, Teng & Chang, Si-Deng & Zou, Hong-Xiang & Gao, Qiu-Hua & Wu, Zhi-Yuan & Yan, Ge & Wei, Ke-Xiang & Yeatman, Eric M. & Meng, Guang & Zhang, Wen-Ming, 2024. "A disposable cup inspired smart floor for trajectory recognition and human-interactive sensing," Applied Energy, Elsevier, vol. 357(C).
    16. Li, Zhongjie & Yang, Zhengbao & Naguib, Hani E., 2020. "Introducing revolute joints into piezoelectric energy harvesters," Energy, Elsevier, vol. 192(C).
    17. Alanne, Kari & Cao, Sunliang, 2019. "An overview of the concept and technology of ubiquitous energy," Applied Energy, Elsevier, vol. 238(C), pages 284-302.
    18. Zdenek Machacek & Wojciech Walendziuk & Vojtech Sotola & Zdenek Slanina & Radek Petras & Miroslav Schneider & Zdenek Masny & Adam Idzkowski & Jiri Koziorek, 2021. "An Investigation of Thermoelectric Generators Used as Energy Harvesters in a Water Consumption Meter Application," Energies, MDPI, vol. 14(13), pages 1-22, June.
    19. Li, Zhongjie & Peng, Yan & Xu, Zhibing & Peng, Jinlin & Xin, Liming & Wang, Min & Luo, Jun & Xie, Shaorong & Pu, Huayan, 2021. "Harnessing energy from suspension systems of oceanic vehicles with high-performance piezoelectric generators," Energy, Elsevier, vol. 228(C).
    20. Zhang, Tingsheng & Wu, Xiaoping & Pan, Yajia & Luo, Dabing & Xu, Yongsheng & Zhang, Zutao & Yuan, Yanping & Yan, Jinyue, 2022. "Vibration energy harvesting system based on track energy-recycling technology for heavy-duty freight railroads," Applied Energy, Elsevier, vol. 323(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:314:y:2022:i:c:s0306261922004093. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.