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Cited by 1,206

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Adaptive piezoelectric energy harvesting circuit for wireless remote power supply

Ottman, G.K., Hofmann, H.F., Bhatt, A.C., Lesieutre, G.A.·2002·IEEE Transactions on Power Electronics

Abstract

This paper describes an approach to harvesting electrical energy from a mechanically excited piezoelectric element. A vibrating piezoelectric device differs from a typical electrical power source in that it has a capacitive rather than inductive source impedance, and may be driven by mechanical vibrations of varying amplitude. An analytical expression for the optimal power flow from a rectified piezoelectric device is derived, and an "energy harvesting" circuit is proposed which can achieve this optimal power flow. The harvesting circuit consists of an AC-DC rectifier with an output capacitor, an electrochemical battery, and a switch-mode DC-DC converter that controls the energy flow into the battery. An adaptive control technique for the DC-DC converter is used to continuously implement the optimal power transfer theory and maximize the power stored by the battery. Experimental results reveal that use of the adaptive DC-DC converter increases power transfer by over 400% as compared to when the DC-DC converter is not used.

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Crossref · 10.1109/tpel.2002.802194

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Metadata

Authors
Ottman, G. K., Hofmann, H. F., Bhatt, A. C., & Lesieutre, G. A.
Venue
IEEE Transactions on Power Electronics
Published
2002-09
Volume
17
Issue
5
Pages
669-676
ISSN
  • 0885-8993 (ISSN-L)
  • 1941-0107
OpenAlex
W2152295306
Cited by
1,206
References
0
FWCI
38.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptive piezoelectric energy harvesting circuit for wireless remote power supply. https://app.cochat.ai/papers/10.1109/tpel.2002.802194
The paper
Ottman, G. K., Hofmann, H. F., Bhatt, A. C., & Lesieutre, G. A. (2002). Adaptive piezoelectric energy harvesting circuit for wireless remote power supply. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2002.802194

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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