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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...

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Detalles Bibliográficos
Autores principales: Chen, Hao, Shen, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
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.
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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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