LAPSE:2023.13872
Published Article
LAPSE:2023.13872
An Impedance Matching Solution to Increase the Harvested Power and Efficiency of Nonlinear Piezoelectric Energy Harvesters
March 1, 2023
Abstract
Circuit theory and nonlinear dynamics are instrumental to design efficient energy harvesters for ambient mechanical vibrations. In this work, we show that an impedance matching networks can be designed that maximizes the harvested power, and improves the power efficiency. The proposed matching network achieves impedance matching at a single frequency, that can be chosen at will by the designer, and does not need to coincide with the resonant frequency of the harvester. Moreover, the matching network also increases the harvested power over a wide frequency bandwidth. According to our numerical simulations, the matching network increases the maximum harvested power by a factor greater than 3, and the power harvested over the whole frequency spectrum by a factor of 6. The frequency bandwidth can be further extended considering nonlinear energy harvesters. Even using the matching network designed for the linear case, performance is significantly nonetheless improved for the nonlinear harvester.
Keywords
energy harvesting, equivalent circuits, impedance matching, nonlinear dynamical systems, nonlinear resonance, piezoelectric energy harvester, power efficiency
Suggested Citation
Bonnin M, Traversa FL, Bonani F. An Impedance Matching Solution to Increase the Harvested Power and Efficiency of Nonlinear Piezoelectric Energy Harvesters. (2023). LAPSE:2023.13872
Author Affiliations
Bonnin M: Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, 10129 Turin, Italy [ORCID]
Traversa FL: MemComputing Inc., San Diego, CA 92093-0319, USA [ORCID]
Bonani F: Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, 10129 Turin, Italy [ORCID]
Journal Name
Energies
Volume
15
Issue
8
First Page
2764
Year
2022
Publication Date
2022-04-09
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15082764, Publication Type: Journal Article
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LAPSE:2023.13872
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https://doi.org/10.3390/en15082764
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