Cammarano, A., Neild, S.A., Burrow, S.G. et al. (2 more authors) (2014) Optimum resistive loads for vibration-based electromagnetic energy harvesters with a stiffening nonlinearity. Journal of Intelligent Material Systems and Structures. Published online before print February 25, 2014. ISSN 1530-8138
Abstract
The exploitation of nonlinear behavior in vibration-based energy harvesters has received much attention over the last decade. One key motivation is that the presence of nonlinearities can potentially increase the bandwidth over which the excitation is amplified and therefore the efficiency of the device. In the literature, references to resonating energy harvesters featuring nonlinear oscillators are common. In the majority of the reported studies, the harvester powers purely resistive loads. Given the complex behavior of nonlinear energy harvesters, it is difficult to identify the optimum load for this kind of device. In this paper the aim is to find the optimal load for a nonlinear energy harvester in the case of purely resistive loads. This work considers the analysis of a nonlinear energy harvester with hardening compliance and electromagnetic transduction under the assumption of negligible inductance. It also introduces a methodology based on numerical continuation which can be used to find the optimum load for a fixed sinusoidal excitation.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 Sage. This is an author produced version of a paper subsequently published in Journal of Intelligent Material Systems and Structures. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Nov 2014 10:29 |
Last Modified: | 29 Mar 2018 18:32 |
Published Version: | http://dx.doi.org/10.1177/1045389X14523854 |
Status: | Published |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/1045389X14523854 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81370 |