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Lithium-ion Battery Thermal Safety by Early Internal Detection, Prediction and Prevention
Temperature rise in Lithium-ion batteries (LIBs) due to solid electrolyte interfaces breakdown, uncontrollable exothermic reactions in electrodes and Joule heating can result in the catastrophic failures such as thermal runaway, which is calling for reliable real-time electrode temperature monitorin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6744460/ https://www.ncbi.nlm.nih.gov/pubmed/31519993 http://dx.doi.org/10.1038/s41598-019-49616-w |
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author | Li, Bing Parekh, Mihit H. Adams, Ryan A. Adams, Thomas E. Love, Corey T. Pol, Vilas G. Tomar, Vikas |
author_facet | Li, Bing Parekh, Mihit H. Adams, Ryan A. Adams, Thomas E. Love, Corey T. Pol, Vilas G. Tomar, Vikas |
author_sort | Li, Bing |
collection | PubMed |
description | Temperature rise in Lithium-ion batteries (LIBs) due to solid electrolyte interfaces breakdown, uncontrollable exothermic reactions in electrodes and Joule heating can result in the catastrophic failures such as thermal runaway, which is calling for reliable real-time electrode temperature monitoring. Here, we present a customized LIB setup developed for early detection of electrode temperature rise during simulated thermal runaway tests incorporating a modern additive manufacturing-supported resistance temperature detector (RTD). An advanced RTD is embedded in a 3D printed polymeric substrate and placed behind the electrode current collector of CR2032 coin cells that can sustain harsh electrochemical operational environments (acidic electrolyte without Redox, short-circuiting, leakage etc.) without participating in electrochemical reactions. The internal RTD measured an average 5.8 °C higher temperature inside the cells than the external RTD with almost 10 times faster detection ability, prohibiting thermal runaway events without interfering in the LIBs’ operation. A temperature prediction model is developed to forecast battery surface temperature rise stemming from measured internal and external RTD temperature signatures. |
format | Online Article Text |
id | pubmed-6744460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67444602019-09-27 Lithium-ion Battery Thermal Safety by Early Internal Detection, Prediction and Prevention Li, Bing Parekh, Mihit H. Adams, Ryan A. Adams, Thomas E. Love, Corey T. Pol, Vilas G. Tomar, Vikas Sci Rep Article Temperature rise in Lithium-ion batteries (LIBs) due to solid electrolyte interfaces breakdown, uncontrollable exothermic reactions in electrodes and Joule heating can result in the catastrophic failures such as thermal runaway, which is calling for reliable real-time electrode temperature monitoring. Here, we present a customized LIB setup developed for early detection of electrode temperature rise during simulated thermal runaway tests incorporating a modern additive manufacturing-supported resistance temperature detector (RTD). An advanced RTD is embedded in a 3D printed polymeric substrate and placed behind the electrode current collector of CR2032 coin cells that can sustain harsh electrochemical operational environments (acidic electrolyte without Redox, short-circuiting, leakage etc.) without participating in electrochemical reactions. The internal RTD measured an average 5.8 °C higher temperature inside the cells than the external RTD with almost 10 times faster detection ability, prohibiting thermal runaway events without interfering in the LIBs’ operation. A temperature prediction model is developed to forecast battery surface temperature rise stemming from measured internal and external RTD temperature signatures. Nature Publishing Group UK 2019-09-13 /pmc/articles/PMC6744460/ /pubmed/31519993 http://dx.doi.org/10.1038/s41598-019-49616-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Li, Bing Parekh, Mihit H. Adams, Ryan A. Adams, Thomas E. Love, Corey T. Pol, Vilas G. Tomar, Vikas Lithium-ion Battery Thermal Safety by Early Internal Detection, Prediction and Prevention |
title | Lithium-ion Battery Thermal Safety by Early Internal Detection, Prediction and Prevention |
title_full | Lithium-ion Battery Thermal Safety by Early Internal Detection, Prediction and Prevention |
title_fullStr | Lithium-ion Battery Thermal Safety by Early Internal Detection, Prediction and Prevention |
title_full_unstemmed | Lithium-ion Battery Thermal Safety by Early Internal Detection, Prediction and Prevention |
title_short | Lithium-ion Battery Thermal Safety by Early Internal Detection, Prediction and Prevention |
title_sort | lithium-ion battery thermal safety by early internal detection, prediction and prevention |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6744460/ https://www.ncbi.nlm.nih.gov/pubmed/31519993 http://dx.doi.org/10.1038/s41598-019-49616-w |
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