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Cited by 408

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Bistable vibration energy harvesters: A review

Pellegrini, Sergio P, Tolou, Nima, Schenk, Mark, Herder, Just L·2013·Journal of Intelligent Material Systems and Structures

Abstract

Powering electronics without depending on batteries is an open research field. Mechanical vibrations prove to be a reliable energy source, but low-frequency broadband vibrations cannot be harvested effectively using linear oscillators. This article discusses an alternative for harvesting such vibrations, with energy harvesters with two stable configurations. The challenges related to nonlinear dynamics are briefly discussed. Different existing designs of bistable energy harvesters are presented and classified, according to their feasibility for miniaturization. A general dynamic model for those designs is described. Finally, an extensive discussion on quantitative measures of evaluating the effectiveness of energy harvesters is accomplished, resulting in the proposition of a new dimensionless metric suited for a broadband analysis.

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Crossref · 10.1177/1045389x12444940

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Metadata

Authors
Pellegrini, S. P., Tolou, N., Schenk, M., & Herder, J. L.
Venue
Journal of Intelligent Material Systems and Structures
Published
2012-05-28
Volume
24
Issue
11
Pages
1303-1312
ISSN
  • 1045-389X (ISSN-L)
  • 1530-8138
OpenAlex
W2115762942
Cited by
408
References
3
FWCI
35.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Bistable vibration energy harvesters: A review. https://app.cochat.ai/papers/10.1177/1045389x12444940
The paper
Pellegrini, S. P., Tolou, N., Schenk, M., & Herder, J. L. (2013). Bistable vibration energy harvesters: A review. Journal of Intelligent Material Systems and Structures. https://doi.org/10.1177/1045389x12444940

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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.