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System-Level Model and Simulation of a Frequency-Tunable Vibration Energy Harvester.

Sofiane Bouhedma1, Yongchen Rao1,2, Arwed Schütz2

  • 1Institute for Electronic Appliances and Circuits, Faculty of Computer Science and Electrical Engineering, University of Rostock, Albert-Einstein-Str. 2, 18059 Rostock, Germany.

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|January 18, 2020
PubMed
Summary

This study introduces a tunable vibration energy harvester that adapts to ambient frequencies. It achieved 500 µW power output, demonstrating efficient energy harvesting for industrial applications.

Keywords:
bistabilityfrequency tuningmagnetostatic forcemultimodal structuresnonlinear resonatorpiezoelectricityvibration-based energy harvesting

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Area of Science:

  • Energy Harvesting
  • Mechanical Engineering
  • Materials Science

Background:

  • Vibration energy harvesting is crucial for powering autonomous systems.
  • Industrial applications often exhibit complex and varying vibration frequencies.
  • Existing harvesters may have limited operational bandwidth or require manual tuning.

Purpose of the Study:

  • To present a macroscale, multiresonant vibration energy harvester with frequency tunability.
  • To enable autonomous adaptation of the harvester's resonance frequency to ambient vibrations.
  • To enhance the operative harvesting frequency range for industrial applications.

Main Methods:

  • Magnetostatic actuation using external magnets on linear stages for frequency tuning.
  • System-level modeling and reduced-order modeling derived from finite element analysis.
  • Implementation of a maximum-voltage tracking control algorithm for tuning.
  • Experimental characterization of the harvester's performance.

Main Results:

  • The harvester features dual fundamental modes in the 50-100 Hz range, suitable for industrial vibrations.
  • Autonomous adaptation of resonance frequency to dominant ambient frequencies was demonstrated.
  • Experimental power output of 500 µW was achieved at 0.5 g excitation at 63.3 Hz and 76.4 Hz.
  • Design optimization led to closer resonance frequencies and improved performance.

Conclusions:

  • The proposed tunable vibration energy harvester offers a wider operative frequency range and autonomous adaptation.
  • The device shows significant potential for powering sensors and devices in industrial environments.
  • Further optimization can enhance power output and broaden applicability.