The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Estimation of Electric Charge Output for Piezoelectric Energy Harvesting
Abstract
Abstract: Piezoelectric materials (PZT) can be used as mechanisms to transfer mechanical energy, usually ambient vibration, into electrical energy that can be stored and used to power other devices. With the recent advances in wireless and micro‐electro‐mechanical‐systems (MEMS) technology, sensors can be placed in exotic and remote locations. As these devices are wireless it becomes necessary that they have their own power supply. The power supply in most cases is the conventional battery; however, problems can occur when using batteries because of their finite life span. Because most sensors are being developed so that they can be placed in remote locations such as structural sensors on a bridge or global positioning service (GPS) tracking devices on animals in the wild, obtaining the sensor simply to replace the battery can become a very expensive task. Furthermore, in the case of sensors located on civil structures, it is often advantageous to embed them, making access impossible. Therefore, if a method of obtaining the untapped energy surrounding these sensors was implemented, significant life could be added to the power supply. One method is to use PZT materials to obtain ambient energy surrounding the test specimen. This captured energy could then be used to prolong the power supply or in the ideal case provide endless energy for the sensors lifespan. The goal of this study is to develop a model of the PZT power harvesting device. This model would simplify the design procedure necessary for determining the appropriate size and vibration levels necessary for sufficient energy to be produced and supplied to the electronic devices. An experimental verification of the model is also performed to ensure its accuracy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Human-powered wearable computing
Starner, T. (1996) · IBM Systems Journal · doi:10.1147/sj.353.0618 · Cited by 876
Cited by
Energy harvesting vibration sources for microsystems applications
Beeby, S. P., Tudor, M. J., & White, N. M. (2006) · Measurement Science and Technology · doi:10.1088/0957-0233/17/12/r01 · Cited by 3,008
Energy Harvesting From Human and Machine Motion for Wireless Electronic Devices
Mitcheson, P. D., Yeatman, E. M., Rao, G. K., Holmes, A. S., & Green, T. C. (2008) · Proceedings of the IEEE · doi:10.1109/jproc.2008.927494 · Cited by 1,888
Safaei, M., Sodano, H. A., & Anton, S. R. (2019) · Smart Materials and Structures · doi:10.1088/1361-665x/ab36e4 · Cited by 874
“In order to improve the original lumped-parameter models, researchers began to investigated distributed parameter models utilizing the Rayleigh-Ritz discretization, which gives more accurate solutions [279, 281, 282].”
MethodSelf-citationDESIGN CONSIDERATIONS FOR MEMS-SCALE PIEZOELECTRIC MECHANICAL VIBRATION ENERGY HARVESTERS
DUTOIT, N. E., WARDLE, B. L., & KIM, S.-G. (2005) · Integrated Ferroelectrics · doi:10.1080/10584580590964574 · Cited by 759
Erturk, A., Renno, J. M., & Inman, D. J. (2009) · Journal of Intelligent Material Systems and Structures · doi:10.1177/1045389x08098096 · Cited by 432
Self-citation
Metadata
- Authors
- Sodano, H. A., Park, G., & Inman, D. J.
- Venue
- Strain
- Publisher
- Wiley
- Published
- 2004-05
- Volume
- 40
- Issue
- 2
- Pages
- 49-58
- ISSN
- 0039-2103 (ISSN-L)
- 1475-1305
- OpenAlex
- W2111277908
- Cited by
- 750
- References
- 1
- FWCI
- 38.33
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Estimation of Electric Charge Output for Piezoelectric Energy Harvesting. https://app.cochat.ai/papers/10.1111/j.1475-1305.2004.00120.x
- The paper
- Sodano, H. A., Park, G., & Inman, D. J. (2004). Estimation of Electric Charge Output for Piezoelectric Energy Harvesting. Strain. https://doi.org/10.1111/j.1475-1305.2004.00120.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.