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A degradation-based sorting method for lithium-ion battery reuse
In a world where millions of people are dependent on batteries to provide them with convenient and portable energy, battery recycling is of the utmost importance. In this paper, we developed a new method to sort 18650 Lithium-ion batteries in large quantities and in real time for harvesting used cel...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5638292/ https://www.ncbi.nlm.nih.gov/pubmed/29023485 http://dx.doi.org/10.1371/journal.pone.0185922 |
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author | Chen, Hao Shen, Julia |
author_facet | Chen, Hao Shen, Julia |
author_sort | Chen, Hao |
collection | PubMed |
description | In a world where millions of people are dependent on batteries to provide them with convenient and portable energy, battery recycling is of the utmost importance. In this paper, we developed a new method to sort 18650 Lithium-ion batteries in large quantities and in real time for harvesting used cells with enough capacity for battery reuse. Internal resistance and capacity tests were conducted as a basis for comparison with a novel degradation-based method based on X-ray radiographic scanning and digital image contrast computation. The test results indicate that the sorting accuracy of the test cells is about 79% and the execution time of our algorithm is at a level of 200 milliseconds, making our method a potential real-time solution for reusing the remaining capacity in good used cells. |
format | Online Article Text |
id | pubmed-5638292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56382922017-10-20 A degradation-based sorting method for lithium-ion battery reuse Chen, Hao Shen, Julia PLoS One Research Article In a world where millions of people are dependent on batteries to provide them with convenient and portable energy, battery recycling is of the utmost importance. In this paper, we developed a new method to sort 18650 Lithium-ion batteries in large quantities and in real time for harvesting used cells with enough capacity for battery reuse. Internal resistance and capacity tests were conducted as a basis for comparison with a novel degradation-based method based on X-ray radiographic scanning and digital image contrast computation. The test results indicate that the sorting accuracy of the test cells is about 79% and the execution time of our algorithm is at a level of 200 milliseconds, making our method a potential real-time solution for reusing the remaining capacity in good used cells. Public Library of Science 2017-10-12 /pmc/articles/PMC5638292/ /pubmed/29023485 http://dx.doi.org/10.1371/journal.pone.0185922 Text en © 2017 Chen, Shen http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Chen, Hao Shen, Julia A degradation-based sorting method for lithium-ion battery reuse |
title | A degradation-based sorting method for lithium-ion battery reuse |
title_full | A degradation-based sorting method for lithium-ion battery reuse |
title_fullStr | A degradation-based sorting method for lithium-ion battery reuse |
title_full_unstemmed | A degradation-based sorting method for lithium-ion battery reuse |
title_short | A degradation-based sorting method for lithium-ion battery reuse |
title_sort | degradation-based sorting method for lithium-ion battery reuse |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5638292/ https://www.ncbi.nlm.nih.gov/pubmed/29023485 http://dx.doi.org/10.1371/journal.pone.0185922 |
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