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Optimized piezoelectric energy harvesting circuit using step-down converter in discontinuous conduction mode

Ottman, G.K., Hofmann, H.F., Lesieutre, G.A.·2003·IEEE Transactions on Power Electronics

Abstract

An optimized method of harvesting vibrational energy with a piezoelectric element using a step-down DC-DC converter is presented. In this configuration, the converter regulates the power flow from the piezoelectric element to the desired electronic load. Analysis of the converter in discontinuous current conduction mode results in an expression for the duty cycle-power relationship. Using parameters of the mechanical system, the piezoelectric element, and the converter; the "optimal" duty cycle can be determined where the harvested power is maximized for the level of mechanical excitation. It is shown that, as the magnitude of the mechanical excitation increases, the optimal duty cycle becomes essentially constant, greatly simplifying the control of the step-down converter. The expression is validated with experimental data showing that the optimal duty cycle can be accurately determined and maximum energy harvesting attained. A circuit is proposed which implements this relationship, and experimental results show that the converter increases the harvested power by approximately 325%.

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Metadata

Authors
Ottman, G. K., Hofmann, H. F., & Lesieutre, G. A.
Venue
IEEE Transactions on Power Electronics
Published
2003-03
Volume
18
Issue
2
Pages
696-703
ISSN
  • 0885-8993 (ISSN-L)
  • 1941-0107
OpenAlex
W2160030225
Cited by
672
References
0
FWCI
59.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Optimized piezoelectric energy harvesting circuit using step-down converter in discontinuous conduction mode. https://app.cochat.ai/papers/10.1109/tpel.2003.809379
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Ottman, G. K., Hofmann, H. F., & Lesieutre, G. A. (2003). Optimized piezoelectric energy harvesting circuit using step-down converter in discontinuous conduction mode. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2003.809379

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.