A Novel High-Efficiency Piezoelectric Energy Harvester Designed to Harvest Energy from Random Excitation

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Nonlinear Dynamics and Complexity

Part of the book series: Nonlinear Systems and Complexity ((NSCH,volume 36))

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Abstract

The frequency up-conversion mechanism is a well known approach to enhance the performance of the piezoelectric energy harvester. In this study, a novel high-efficiency frequency up-conversion based piezoelectric energy harvester is proposed by introducing an Energy Accumulation and Eruption Mechanical System (EAEMS) to harvest energy from random excitation.

The proposed mechanism consists of overrunning clutches and gear trains that convert two directions rotations excited by random vibrations into one direction. The cam-follower-spring combination is also used as an energy regulator that stores the vibration kinetic energy to a certain amount and releases that energy once to trigger the impact between the piezoelectric plate and the plastic plectrum. This process will repeat as the ambient random excitation exists. The cam-follower-spring mechanism enables us to keep the impact force between the piezoelectric plate and the plectrum roughly constant. This means after each impact, the piezoelectric plate vibrates at its resonance frequency with the same initial amplitude and the same dam** rate. Therefore, both the dynamic and electric responses of the piezoelectric plate are repetitive but not periodic due to the unpredictable pump in energy from random vibrations.

We use a PZT5H bimorph as the piezoelectric plate, and the plastic plectrum is made from acrylonitrile butadiene styrene. The analytical analysis, along with computational analysis, illustrates that the proposed mechanism significantly enhances the performance of the piezoelectric energy harvester under random excitation.

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Correspondence to Saeed Onsorynezhad .

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Onsorynezhad, S., Wang, F. (2022). A Novel High-Efficiency Piezoelectric Energy Harvester Designed to Harvest Energy from Random Excitation. In: Pinto, C.M. (eds) Nonlinear Dynamics and Complexity. Nonlinear Systems and Complexity, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-031-06632-0_22

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