Stochastic Model for a Piezoelectric Energy Harvester Driven by Broadband Vibrations
Author Information
Author(s): Sanfelice Angelo, Costanzo Luigi, Lo Schiavo Alessandro, Sarracino Alessandro, Vitelli Massimo
Primary Institution: Department of Mathematics and Physics, University of Campania “Luigi Vanvitelli”
Hypothesis
Can a stochastic model effectively describe the dynamics of a piezoelectric energy harvester driven by broadband vibrations?
Conclusion
The study found that the extracted power from the piezoelectric energy harvester exhibits a non-monotonic behavior, indicating an optimal load resistance for maximum power extraction.
Supporting Evidence
- The study presents a stochastic model based on an underdamped Langevin equation to describe the piezoelectric energy harvester.
- Experimental results showed good agreement with numerical simulations across various load configurations.
- The optimal load resistance for maximum power extraction was identified in both linear and nonlinear setups.
Takeaway
This study looks at a device that turns vibrations into electricity and shows how to get the most power out of it by adjusting certain settings.
Methodology
The study used both experimental setups and numerical simulations to analyze the performance of the piezoelectric energy harvester under different load configurations.
Limitations
The nonlinear configuration could not be treated analytically, which may limit the precision of the model.
Digital Object Identifier (DOI)
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