
Proceedings Paper
Band-pass design optimization of piezoelectric cantilever bimorph energy harvesterFormat | Member Price | Non-Member Price |
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Paper Abstract
Piezoelectric energy harvesting has become a feasible method for powering micro portable electronics and
wireless sensor networks by converting ambient vibration energy into electrical energy. As a thumb of rule, it is
critical to tune the resonant frequency of the generator to the frequency of the environmental vibrations in order
to induce the maximum structural deformation and then the maximum converted electrical energy through
piezoelectric effect. However, it is well-known that the ambient vibrations are not usually fixed in only one
single frequency and could span over a limited frequency band. In this paper, a band-pass design optimization of
piezoelectric cantilever bimorph (PCB) energy harvester is presented based on the system transfer function of the
PCB generator presented in a previous literature. For such an energy harvester, a group of PCB with dimensions
appropriately selected can be integrated into a band-pass energy harvester working over a limited frequency band
if the dimensions of piezoelectric bimorphs and proof masses are appropriately chosen. Further, the finite
element analysis (FEA) of such a band-pass energy harvester is performed in ANSYS to validate the theoretical
proposal. The result shows that the band-pass design optimization leads to a piezoelectric generator working over
a certain frequency band while keeping outputting the relatively stable open-circuit voltage.
Paper Details
Date Published: 27 April 2011
PDF: 13 pages
Proc. SPIE 7977, Active and Passive Smart Structures and Integrated Systems 2011, 79772M (27 April 2011); doi: 10.1117/12.895381
Published in SPIE Proceedings Vol. 7977:
Active and Passive Smart Structures and Integrated Systems 2011
Mehrdad N. Ghasemi-Nejhad, Editor(s)
PDF: 13 pages
Proc. SPIE 7977, Active and Passive Smart Structures and Integrated Systems 2011, 79772M (27 April 2011); doi: 10.1117/12.895381
Show Author Affiliations
Long Zhang, The Univ. of Alabama (United States)
Keith A. Williams, The Univ. of Alabama (United States)
Published in SPIE Proceedings Vol. 7977:
Active and Passive Smart Structures and Integrated Systems 2011
Mehrdad N. Ghasemi-Nejhad, Editor(s)
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