IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i20p7141-d1262550.html
   My bibliography  Save this article

Kinetic Vibration Energy Harvester Based on Electromechanical Converter with Power Electronics Active Rectifier

Author

Listed:
  • Bartosz Drzymała

    (Faculty of Electric Drives and Machines, Lublin University of Technology, Nadbystrzycka 38a, 20-618 Lublin, Poland)

  • Jakub Gęca

    (Faculty of Computer Science, Lublin University of Technology, Nadbystrzycka 38a, 20-618 Lublin, Poland)

  • Marcin Bocheński

    (Faculty of Applied Mechanics, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland)

Abstract

Electromechanical energy harvesters are used to extract energy from vibrations occurring in nature, transport, or industry. The main problem with such solutions is that their output voltage is completely dependent on the frequency and amplitude of the vibrations, which can make it difficult to power a specific device or charge a battery. Therefore, it is necessary to use solutions that meet these requirements. Most harvesters contain additional, specialized mechanical gearboxes, called mechanical rectifiers or power electronic interfaces, used to match the harvester’s output voltage to the load. Design work was carried out, the construction of the proposed energy harvester was described, and the operation principle of the author’s control algorithm was presented. The results of the research confirm the possibilities of influencing the output voltage and power of the harvester system independently of the frequency and excitation amplitude.

Suggested Citation

  • Bartosz Drzymała & Jakub Gęca & Marcin Bocheński, 2023. "Kinetic Vibration Energy Harvester Based on Electromechanical Converter with Power Electronics Active Rectifier," Energies, MDPI, vol. 16(20), pages 1-12, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7141-:d:1262550
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/20/7141/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/20/7141/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Xiaofan & Chen, ChienAn & Li, Qiaofeng & Xu, Lin & Liang, Changwei & Ngo, Khai & Parker, Robert G. & Zuo, Lei, 2020. "A compact mechanical power take-off for wave energy converters: Design, analysis, and test verification," Applied Energy, Elsevier, vol. 278(C).
    2. Pan, Hongye & Qi, Lingfei & Zhang, Zutao & Yan, Jinyue, 2021. "Kinetic energy harvesting technologies for applications in land transportation: A comprehensive review," Applied Energy, Elsevier, vol. 286(C).
    3. Zhang, Xingtian & Pan, Hongye & Qi, Lingfei & Zhang, Zutao & Yuan, Yanping & Liu, Yujie, 2017. "A renewable energy harvesting system using a mechanical vibration rectifier (MVR) for railroads," Applied Energy, Elsevier, vol. 204(C), pages 1535-1543.
    4. Seong-yeol Yoo & Young-Woo Park & Myounggyu Noh, 2020. "Topology Selection and Parametric Design of Electromagnetic Vibration Energy Harvesters by Combining FEA-in-the-Loop and Analytical Approaches," Energies, MDPI, vol. 13(3), pages 1-12, February.
    5. Krzysztof Kecik, 2022. "Modification of Electromechanical Coupling in Electromagnetic Harvester," Energies, MDPI, vol. 15(11), pages 1-15, May.
    6. Lin, Teng & Pan, Yu & Chen, Shikui & Zuo, Lei, 2018. "Modeling and field testing of an electromagnetic energy harvester for rail tracks with anchorless mounting," Applied Energy, Elsevier, vol. 213(C), pages 219-226.
    Full references (including those not matched with items on IDEAS)

    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. Zhang, Tingsheng & Kong, Lingji & Zhu, Zhongyin & Wu, Xiaoping & Li, Hai & Zhang, Zutao & Yan, Jinyue, 2024. "An electromagnetic vibration energy harvesting system based on series coupling input mechanism for freight railroads," Applied Energy, Elsevier, vol. 353(PA).
    2. 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).
    3. 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).
    4. 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.
    5. 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).
    6. Fan, Chengliang & Li, Hai & Zhang, Zutao & Pan, Yajia & Wu, Xiaoping & Ahmed, Ammar, 2023. "An H-shaped coupler energy harvester for application in heavy railways," Energy, Elsevier, vol. 270(C).
    7. Hao, Daning & Qi, Lingfei & Tairab, Alaeldin M. & Ahmed, Ammar & Azam, Ali & Luo, Dabing & Pan, Yajia & Zhang, Zutao & Yan, Jinyue, 2022. "Solar energy harvesting technologies for PV self-powered applications: A comprehensive review," Renewable Energy, Elsevier, vol. 188(C), pages 678-697.
    8. 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).
    9. Pan, Yu & Lin, Teng & Qian, Feng & Liu, Cheng & Yu, Jie & Zuo, Jianyong & Zuo, Lei, 2019. "Modeling and field-test of a compact electromagnetic energy harvester for railroad transportation," Applied Energy, Elsevier, vol. 247(C), pages 309-321.
    10. Wang, Yifeng & Li, Shoutai & Gao, Mingyuan & Ouyang, Huajiang & He, Qing & Wang, Ping, 2021. "Analysis, design and testing of a rolling magnet harvester with diametrical magnetization for train vibration," Applied Energy, Elsevier, vol. 300(C).
    11. Wang, Zhen & Fan, Kangqi & Zhao, Shizhong & Wu, Shuxin & Zhang, Xuan & Zhai, Kangjia & Li, Zhiqi & He, Hua, 2024. "Archery-inspired catapult mechanism with controllable energy release for efficient ultralow-frequency energy harvesting," Applied Energy, Elsevier, vol. 356(C).
    12. Hongye pan, & Jia, Changyuan & Li, Haobo & Zhou, Xianzheng & Fang, Zheng & Wu, Xiaoping & Zhang, Zutao, 2022. "A renewable energy harvesting wind barrier based on coaxial contrarotation for self-powered applications on railways," Energy, Elsevier, vol. 258(C).
    13. Kong, Weihua & He, Liujin & Hao, Daning & Wu, Xiaoping & Xiao, Luo & Zhang, Zutao & Xu, Yongsheng & Azam, Ali, 2023. "A wave energy harvester based on an ultra-low frequency synergistic PTO for intelligent fisheries," Renewable Energy, Elsevier, vol. 217(C).
    14. Pan, Hongye & Qi, Lingfei & Zhang, Zutao & Yan, Jinyue, 2021. "Kinetic energy harvesting technologies for applications in land transportation: A comprehensive review," Applied Energy, Elsevier, vol. 286(C).
    15. Zhang, Duo & Tang, Yin-Ying & Peng, Qi-Yuan, 2023. "A novel approach for decreasing driving energy consumption during coasting and cruise for the railway vehicle," Energy, Elsevier, vol. 263(PA).
    16. Yang, Yiqing & Pian, Yawei & Liu, Qiang, 2019. "Design of energy harvester using rotating motion rectifier and its application on bicycle," Energy, Elsevier, vol. 179(C), pages 222-231.
    17. Haihua Wang & Xinjue Zhang & Ruichen Wang & Guosheng Feng, 2024. "A Simulation Approach for Analysis of the Regenerative Potential of High-Speed Train Suspensions," Energies, MDPI, vol. 17(14), pages 1-29, July.
    18. Abdelkareem, Mohamed A.A. & Xu, Lin & Ali, Mohamed Kamal Ahmed & Elagouz, Ahmed & Mi, Jia & Guo, Sijing & Liu, Yilun & Zuo, Lei, 2018. "Vibration energy harvesting in automotive suspension system: A detailed review," Applied Energy, Elsevier, vol. 229(C), pages 672-699.
    19. 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).
    20. Kuang, Yang & Chew, Zheng Jun & Ruan, Tingwen & Lane, Tim & Allen, Ben & Nayar, Bimal & Zhu, Meiling, 2021. "Magnetic field energy harvesting from the traction return current in rail tracks," Applied Energy, Elsevier, vol. 292(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:gam:jeners:v:16:y:2023:i:20:p:7141-:d:1262550. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.