IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i19p7271-d932887.html
   My bibliography  Save this article

Automatic Resonance Tuning Technique for an Ultra-Broadband Piezoelectric Energy Harvester

Author

Listed:
  • Sallam A. Kouritem

    (Department of Mechanical Engineering, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt)

  • Muath A. Bani-Hani

    (Department of Aeronautical Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan)

  • Mohamed Beshir

    (School of Engineering, University of Edinburgh, Edinburgh EH8 9YL, UK)

  • Mohamed M. Y. B. Elshabasy

    (Department of Mechanical Engineering, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt
    Department of Mechanical and Manufacturing Engineering, Jubail Industrial College, Male Branch, Al Jubail 35718, Saudi Arabia)

  • Wael A. Altabey

    (Department of Mechanical Engineering, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt
    International Institute for Urban Systems Engineering (IIUSE), Southeast University, Nanjing 210096, China)

Abstract

The main drawback of energy harvesting using the piezoelectric direct effect is that the maximum electric power is generated at the fundamental resonance frequency. This can clearly be observed in the size and dimensions of the components of any particular energy harvester. In this paper, we are investigating a new proposed energy harvesting device that employs the Automatic Resonance Tuning (ART) technique to enhance the energy harvesting mechanism. The proposed harvester is composed of a cantilever beam and sliding masse with varying locations. ART automatically adjusts the energy harvester’s natural frequency according to the ambient vibration natural frequency. The ART energy harvester modifies the natural frequency of the harvester using the motion of the mobile (sliding) mass. An analytical model of the proposed model is presented. The investigation is conducted using the Finite Element Method (FEM). THE FEM COMSOL model is successfully validated using previously published experimental results. The results of the FEM were compared with the experimental and analytical results. The validated model is then used to demonstrate the displacement profile, the output voltage response, and the natural frequency for the harvester at different mass positions. The bandwidth of the ART harvester (17 Hz) is found to be 1130% larger compared to the fixed resonance energy harvester. It is observed that the proposed broadband design provides a high-power density of 0.05 mW mm −3 . The piezoelectric dimensions and load resistance are also optimized to maximize the output voltage output power.

Suggested Citation

  • Sallam A. Kouritem & Muath A. Bani-Hani & Mohamed Beshir & Mohamed M. Y. B. Elshabasy & Wael A. Altabey, 2022. "Automatic Resonance Tuning Technique for an Ultra-Broadband Piezoelectric Energy Harvester," Energies, MDPI, vol. 15(19), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7271-:d:932887
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/19/7271/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/19/7271/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Zhemin & Du, Yu & Li, Tianrun & Yan, Zhimiao & Tan, Ting, 2021. "A flute-inspired broadband piezoelectric vibration energy harvesting device with mechanical intelligent design," Applied Energy, Elsevier, vol. 303(C).
    2. Li, Meng & Jing, Xingjian, 2019. "Novel tunable broadband piezoelectric harvesters for ultralow-frequency bridge vibration energy harvesting," Applied Energy, Elsevier, vol. 255(C).
    3. Maurya, Deepam & Kumar, Prashant & Khaleghian, Seyedmeysam & Sriramdas, Rammohan & Kang, Min Gyu & Kishore, Ravi Anant & Kumar, Vireshwar & Song, Hyun-Cheol & Park, Jung-Min (Jerry) & Taheri, Saied & , 2018. "Energy harvesting and strain sensing in smart tire for next generation autonomous vehicles," Applied Energy, Elsevier, vol. 232(C), pages 312-322.
    4. Song, Hyun-Cheol & Kumar, Prashant & Sriramdas, Rammohan & Lee, Hyeon & Sharpes, Nathan & Kang, Min-Gyu & Maurya, Deepam & Sanghadasa, Mohan & Kang, Hyung-Won & Ryu, Jungho & Reynolds, William T. & Pr, 2018. "Broadband dual phase energy harvester: Vibration and magnetic field," Applied Energy, Elsevier, vol. 225(C), pages 1132-1142.
    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. Wael A. Altabey & Sallam A. Kouritem, 2023. "An Overview of the Topics of the Special Issue “The New Techniques for Piezoelectric Energy Harvesting: Design, Optimization, Applications, and Analysis”," Energies, MDPI, vol. 16(8), pages 1-4, April.
    2. Nitin Satpute & Marek Iwaniec & Joanna Iwaniec & Manisha Mhetre & Swapnil Arawade & Siddharth Jabade & Marian Banaś, 2023. "Triboelectric Nanogenerator-Based Vibration Energy Harvester Using Bio-Inspired Microparticles and Mechanical Motion Amplification," Energies, MDPI, vol. 16(3), pages 1-22, January.

    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, Weiqun & Yuan, Zhongxin & Zhang, Shuang & Zhu, Qiao, 2019. "Enhanced broadband generator of dual buckled beams with simultaneous translational and torsional coupling," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    2. Chen, Lin & Liao, Xin & Sun, Beibei & Zhang, Ning & Wu, Jianwei, 2022. "A numerical-experimental dynamic analysis of high-efficiency and broadband bistable energy harvester with self-decreasing potential barrier effect," Applied Energy, Elsevier, vol. 317(C).
    3. Cong, Moyue & Gao, Yongzhuo & Wang, Weidong & He, Long & Mao, Xiwang & Long, Yi & Dong, Wei, 2024. "Asymmetry stagger array structure ultra-wideband vibration harvester integrating magnetically coupled nonlinear effects," Applied Energy, Elsevier, vol. 356(C).
    4. Alqaleiby, Hossam & Ayyad, Mahmoud & Hajj, Muhammad R. & Ragab, Saad A. & Zuo, Lei, 2024. "Effects of piezoelectric energy harvesting from a morphing flapping tail on its performance," Applied Energy, Elsevier, vol. 353(PA).
    5. Cai, Qinlin & Zhu, Songye, 2021. "Applying double-mass pendulum oscillator with tunable ultra-low frequency in wave energy converters," Applied Energy, Elsevier, vol. 298(C).
    6. Xie, Xiangdong & Zhang, Jiankun & Wang, Zijing & Li, Lingjie & Du, Guofeng, 2024. "The effect of magnetic proof masses on the energy harvesting bandwidth of piezoelectric coupled cantilever array," Applied Energy, Elsevier, vol. 353(PA).
    7. Gunn, B. & Alevras, P. & Flint, J.A. & Fu, H. & Rothberg, S.J. & Theodossiades, S., 2021. "A self-tuned rotational vibration energy harvester for self-powered wireless sensing in powertrains," Applied Energy, Elsevier, vol. 302(C).
    8. Wang, Zhemin & Du, Yu & Li, Tianrun & Yan, Zhimiao & Tan, Ting, 2021. "A flute-inspired broadband piezoelectric vibration energy harvesting device with mechanical intelligent design," Applied Energy, Elsevier, vol. 303(C).
    9. Ahmed H. Sakr & Sayed M. Metwalli & Yasser H. Anis, 2020. "Dynamics of Heaving Buoy Wave Energy Converters with a Stiffness Reactive Controller," Energies, MDPI, vol. 14(1), pages 1-12, December.
    10. Zou, Donglin & Liu, Gaoyu & Rao, Zhushi & Tan, Ting & Zhang, Wenming & Liao, Wei-Hsin, 2021. "Design of a multi-stable piezoelectric energy harvester with programmable equilibrium point configurations," Applied Energy, Elsevier, vol. 302(C).
    11. Wang, Chen & Lai, Siu-Kai & Wang, Jia-Mei & Feng, Jing-Jing & Ni, Yi-Qing, 2021. "An ultra-low-frequency, broadband and multi-stable tri-hybrid energy harvester for enabling the next-generation sustainable power," Applied Energy, Elsevier, vol. 291(C).
    12. Zhuang Lu & Quan Wen & Xianming He & Zhiyu Wen, 2019. "A Nonlinear Broadband Electromagnetic Vibration Energy Harvester Based on Double-Clamped Beam," Energies, MDPI, vol. 12(14), pages 1-12, July.
    13. Qu, Shuai & Ren, Yuhao & Hu, Guobiao & Ding, Wei & Dong, Liwei & Yang, Jizhong & Wu, Zaixin & Zhu, Shengyang & Yang, Yaowen & Zhai, Wanming, 2024. "Event-driven piezoelectric energy harvesting for railway field applications," Applied Energy, Elsevier, vol. 364(C).
    14. Huang, Xingbao, 2024. "Exploiting multi-stiffness combination inspired absorbers for simultaneous energy harvesting and vibration mitigation," Applied Energy, Elsevier, vol. 364(C).
    15. Michele Bonnin & Fabio L. Traversa & Fabrizio Bonani, 2022. "An Impedance Matching Solution to Increase the Harvested Power and Efficiency of Nonlinear Piezoelectric Energy Harvesters," Energies, MDPI, vol. 15(8), pages 1-17, April.
    16. Eghbali, Pejman & Younesian, Davood & Farhangdoust, Saman, 2020. "Enhancement of the low-frequency acoustic energy harvesting with auxetic resonators," Applied Energy, Elsevier, vol. 270(C).
    17. Yuan, Huazhi & Liu, Jikang & Wang, Chaohui & Wang, Shuai & Cao, Hongyun, 2024. "Optimization of piezoelectric device with both mechanical and electrical properties for power supply of road sensors," Applied Energy, Elsevier, vol. 364(C).
    18. Kwak, Wonil & Lee, Yongbok, 2021. "Optimal design and experimental verification of piezoelectric energy harvester with fractal structure," Applied Energy, Elsevier, vol. 282(PA).
    19. Nithesh Naik & P. Suresh & Sanjay Yadav & M. P. Nisha & José Luis Arias-Gonzáles & Juan Carlos Cotrina-Aliaga & Ritesh Bhat & Manohara D. Jalageri & Yashaarth Kaushik & Aakif Budnar Kunjibettu, 2023. "A Review on Composite Materials for Energy Harvesting in Electric Vehicles," Energies, MDPI, vol. 16(8), pages 1-19, April.
    20. Bartosz Kawa & Chengkuo Lee & Rafał Walczak, 2022. "Inkjet 3D Printed MEMS Electromagnetic Multi-Frequency Energy Harvester," Energies, MDPI, vol. 15(12), pages 1-11, June.

    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:15:y:2022:i:19:p:7271-:d:932887. 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.