Abstract
This work proposes and experimentally validates a piezoelectric vibration energy harvester, which exploits the impact of a central compliant driving beam onto two piezoelectric parallel bimorph beams on flexible steel. At suitable mechanical excitation conditions, the central driving beam impacts the piezo beams and triggers a nonlinear frequency-up conversion mechanism that improves the overall effectiveness, i.e. increases the overall rms output voltage and widens the equivalent bandwidth of the converter, with respect to the linear condition of the noninteracting beams.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
D. Zhu, M.J. Tudor, S.P. Beeby. Strategies for increasing the operating frequency range of vibration energy harvesters: a review. Meas. Sci. Technol. 21, 1ā29 (2010)
M. Ferrari, V. Ferrari, M. Guizzetti, D. Marioli, A. Taroni. Piezoelectric multifrequency energy converter for power harvesting in autonomous Microsystems. Sens. Actuators A. 142 (1), 329ā335 (2008)
M. BaĆ¹, M. Ferrari, V. Ferrari, M. Guizzetti. A Single-Magnet Nonlinear Piezoelectric Converter for Enhanced Energy Harvesting from Random Vibrations. Sens. Actuators A, 171 (1), 287ā292 (2011)
F. Cottone, L. Gammaitoni, H. Vocca, M. Ferrari, V. Ferrari. Piezoelectric buckled beams for random vibrations energy harvesting. Smart. Mater. Struct. 21 (3), 035021 (11pp) (2012)
L. Gu. Low-frequency piezoelectric energy harvesting prototype suitable for the MEMS implementation. Microelectr. J. 42 (2), 277ā282 (2011)
Acknowledgments
The work was partially carried out under the project PRIN2009-2009KFLWJA co-funded by the Italian MIUR.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
Ā© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Cerini, F., BaĆ¹, M., Ferrari, M., Ferrari, V. (2014). Impact-Enhanced Multi-beam Piezoelectric Converter for Energy Harvesting in Autonomous Sensors. In: Di Natale, C., Ferrari, V., Ponzoni, A., Sberveglieri, G., Ferrari, M. (eds) Sensors and Microsystems. Lecture Notes in Electrical Engineering, vol 268. Springer, Cham. https://doi.org/10.1007/978-3-319-00684-0_72
Download citation
DOI: https://doi.org/10.1007/978-3-319-00684-0_72
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00683-3
Online ISBN: 978-3-319-00684-0
eBook Packages: EngineeringEngineering (R0)