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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
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    References listed on IDEAS

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    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.
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    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.

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