Skip to main navigation Skip to search Skip to main content

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

  • Sallam A. Kouritem*
  • , Muath A. Bani-Hani
  • , Mohamed Beshir
  • , Mohamed M.Y.B. Elshabasy
  • , Wael A. Altabey*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

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.

Original languageEnglish
Article number7271
JournalEnergies
Volume15
Issue number19
DOIs
StatePublished - Oct 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 by the authors.

Keywords

  • FEM
  • automatic resonance tuning
  • broad bandwidth
  • piezoelectric energy harvesting

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Engineering (miscellaneous)
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Automatic Resonance Tuning Technique for an Ultra-Broadband Piezoelectric Energy Harvester'. Together they form a unique fingerprint.

Cite this