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Models for 31-Mode PVDF Energy Harvester for Wearable Applications
Currently, wearable electronics are increasingly widely used, leading to an increasing need of portable power supply. As a clean and renewable power source, piezoelectric energy harvester can transfer mechanical energy into electric energy directly, and the energy harvester based on polyvinylidene d...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119733/ https://www.ncbi.nlm.nih.gov/pubmed/25114981 http://dx.doi.org/10.1155/2014/893496 |
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author | Zhao, Jingjing You, Zheng |
author_facet | Zhao, Jingjing You, Zheng |
author_sort | Zhao, Jingjing |
collection | PubMed |
description | Currently, wearable electronics are increasingly widely used, leading to an increasing need of portable power supply. As a clean and renewable power source, piezoelectric energy harvester can transfer mechanical energy into electric energy directly, and the energy harvester based on polyvinylidene difluoride (PVDF) operating in 31-mode is appropriate to harvest energy from human motion. This paper established a series of theoretical models to predict the performance of 31-mode PVDF energy harvester. Among them, the energy storage one can predict the collected energy accurately during the operation of the harvester. Based on theoretical study and experiments investigation, two approaches to improve the energy harvesting performance have been found. Furthermore, experiment results demonstrate the high accuracies of the models, which are better than 95%. |
format | Online Article Text |
id | pubmed-4119733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-41197332014-08-11 Models for 31-Mode PVDF Energy Harvester for Wearable Applications Zhao, Jingjing You, Zheng ScientificWorldJournal Research Article Currently, wearable electronics are increasingly widely used, leading to an increasing need of portable power supply. As a clean and renewable power source, piezoelectric energy harvester can transfer mechanical energy into electric energy directly, and the energy harvester based on polyvinylidene difluoride (PVDF) operating in 31-mode is appropriate to harvest energy from human motion. This paper established a series of theoretical models to predict the performance of 31-mode PVDF energy harvester. Among them, the energy storage one can predict the collected energy accurately during the operation of the harvester. Based on theoretical study and experiments investigation, two approaches to improve the energy harvesting performance have been found. Furthermore, experiment results demonstrate the high accuracies of the models, which are better than 95%. Hindawi Publishing Corporation 2014-07-09 /pmc/articles/PMC4119733/ /pubmed/25114981 http://dx.doi.org/10.1155/2014/893496 Text en Copyright © 2014 J. Zhao and Z. You. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhao, Jingjing You, Zheng Models for 31-Mode PVDF Energy Harvester for Wearable Applications |
title | Models for 31-Mode PVDF Energy Harvester for Wearable Applications |
title_full | Models for 31-Mode PVDF Energy Harvester for Wearable Applications |
title_fullStr | Models for 31-Mode PVDF Energy Harvester for Wearable Applications |
title_full_unstemmed | Models for 31-Mode PVDF Energy Harvester for Wearable Applications |
title_short | Models for 31-Mode PVDF Energy Harvester for Wearable Applications |
title_sort | models for 31-mode pvdf energy harvester for wearable applications |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119733/ https://www.ncbi.nlm.nih.gov/pubmed/25114981 http://dx.doi.org/10.1155/2014/893496 |
work_keys_str_mv | AT zhaojingjing modelsfor31modepvdfenergyharvesterforwearableapplications AT youzheng modelsfor31modepvdfenergyharvesterforwearableapplications |