Rectified Output Power Analysis of Piezoelectric Energy Harvester Arrays under Noisy Excitation

Abstract

In the past decade, vibration energy harvesting has emerged as a potential alternative solution to power wireless sensor nodes. In real-world implementations, external excitation can be very noisy and includes noise signals in a wide frequency band. In order to accommodate operation under noisy excitation, arrays of energy harvesters with different resonance frequencies are often employed to improve responsibility. Due to the nature of noisy excitation and the difference in resonance frequencies, the response voltage signals from each harvester can be very different in amplitude, frequency and phase. In this paper, an array with two cantilevered energy harvesters is studied to analyze the rectified output power with different configurations using full-bridge rectifiers (FBR). The experiments show that connecting the two harvesters in parallel or in series before connecting with a FBR results in significant voltage cancellation due to phase mismatch. The most efficient way to extract energy is to use two FBRs for the two cantilevered energy harvesters, individually, and charge to one single storage capacitor connected at the outputs of the two FBRs.

Publication DOI: https://doi.org/10.1088/1742-6596/1052/1/012108
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences
Additional Information: Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd
Publication ISSN: 1742-6596
Last Modified: 11 Mar 2024 08:26
Date Deposited: 13 Nov 2019 10:34
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Related URLs: https://iopscie ... 6/1052/1/012108 (Publisher URL)
PURE Output Type: Conference article
Published Date: 2018-01-01
Published Online Date: 2017-11-14
Accepted Date: 2017-01-01
Authors: Du, Sijun
Jia, Yu (ORCID Profile 0000-0001-9640-1666)
Arroyo, Emmanuelle
Seshia, Ashwin A

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