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An Automated Power Evaluation Workbench for Triboelectric Nanogenerators
Triboelectric nanogenerators (TENGs) have high potential in self-powered sensing and energy harvesting applications. In general, TENGs’ internal source resistance is high, and their output power varies under different load resistance values. Therefore, a resistance box is required to evaluate their...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955910/ https://www.ncbi.nlm.nih.gov/pubmed/35334736 http://dx.doi.org/10.3390/mi13030444 |
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author | Yuan, Ming Li, Chunhui Zhang, Sheng Xie, Yannan |
author_facet | Yuan, Ming Li, Chunhui Zhang, Sheng Xie, Yannan |
author_sort | Yuan, Ming |
collection | PubMed |
description | Triboelectric nanogenerators (TENGs) have high potential in self-powered sensing and energy harvesting applications. In general, TENGs’ internal source resistance is high, and their output power varies under different load resistance values. Therefore, a resistance box is required to evaluate their energy harvesting performance and obtain the power curve under different load values. The load tuning process is usually performed by hand. This repetitive process is time-consuming and error-prone. Consequently, an Automated Power Evaluation Workbench (APEW) is developed, making the resistance switching and power measuring process program-controlled. The resistance value is resolved using the Octal decomposition principle. In addition, a resistance synthesis algorithm is proposed to alter the resistance value with a minimum step of 1 Ohm. The target resistance value is physically synthesized by relay switching, while digital lines control the relays. The proposed APEW is then evaluated experimentally, and the obtained results are compared with those of the traditional manual switching approach. It is deduced that the two power curves are almost identical. Therefore, it is believed that the proposed APEW will play a crucial role in TENG’s further development. |
format | Online Article Text |
id | pubmed-8955910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89559102022-03-26 An Automated Power Evaluation Workbench for Triboelectric Nanogenerators Yuan, Ming Li, Chunhui Zhang, Sheng Xie, Yannan Micromachines (Basel) Article Triboelectric nanogenerators (TENGs) have high potential in self-powered sensing and energy harvesting applications. In general, TENGs’ internal source resistance is high, and their output power varies under different load resistance values. Therefore, a resistance box is required to evaluate their energy harvesting performance and obtain the power curve under different load values. The load tuning process is usually performed by hand. This repetitive process is time-consuming and error-prone. Consequently, an Automated Power Evaluation Workbench (APEW) is developed, making the resistance switching and power measuring process program-controlled. The resistance value is resolved using the Octal decomposition principle. In addition, a resistance synthesis algorithm is proposed to alter the resistance value with a minimum step of 1 Ohm. The target resistance value is physically synthesized by relay switching, while digital lines control the relays. The proposed APEW is then evaluated experimentally, and the obtained results are compared with those of the traditional manual switching approach. It is deduced that the two power curves are almost identical. Therefore, it is believed that the proposed APEW will play a crucial role in TENG’s further development. MDPI 2022-03-15 /pmc/articles/PMC8955910/ /pubmed/35334736 http://dx.doi.org/10.3390/mi13030444 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yuan, Ming Li, Chunhui Zhang, Sheng Xie, Yannan An Automated Power Evaluation Workbench for Triboelectric Nanogenerators |
title | An Automated Power Evaluation Workbench for Triboelectric Nanogenerators |
title_full | An Automated Power Evaluation Workbench for Triboelectric Nanogenerators |
title_fullStr | An Automated Power Evaluation Workbench for Triboelectric Nanogenerators |
title_full_unstemmed | An Automated Power Evaluation Workbench for Triboelectric Nanogenerators |
title_short | An Automated Power Evaluation Workbench for Triboelectric Nanogenerators |
title_sort | automated power evaluation workbench for triboelectric nanogenerators |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955910/ https://www.ncbi.nlm.nih.gov/pubmed/35334736 http://dx.doi.org/10.3390/mi13030444 |
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