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Gas Leakage Source Detection for Li-Ion Batteries by Distributed Sensor Array †
Lithium-based batteries operation is related to some safety risks of dangerous flaming, integrity destruction, or even explosion. Gas leakage is an early and reliable indicator for such irreversible malfunctioning of electrical accumulators. Often, accurate gas emission source location sensing is di...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651848/ https://www.ncbi.nlm.nih.gov/pubmed/31262052 http://dx.doi.org/10.3390/s19132900 |
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author | Mateev, Valentin Marinova, Iliana Kartunov, Zhelyazko |
author_facet | Mateev, Valentin Marinova, Iliana Kartunov, Zhelyazko |
author_sort | Mateev, Valentin |
collection | PubMed |
description | Lithium-based batteries operation is related to some safety risks of dangerous flaming, integrity destruction, or even explosion. Gas leakage is an early and reliable indicator for such irreversible malfunctioning of electrical accumulators. Often, accurate gas emission source location sensing is difficult especially in heavy operational conditions, related to temperature changes, vibrations, movements, accelerations, etc. In this paper we propose a gas detection system, with catalytic type sensor array, and a numerical reconstruction method for precise gas emission source location inside the battery pack. The detection system employs a distributed array of CO sensors. Proposed sensor array configurations significantly reduce the number of sensing nodes inside the battery pack and fewer sensors than the protected battery elements are used. This way, data acquisition process by sensor nodes is also simplified. Several array configurations are considered according to their measurement efficiency and accuracy. Reconstruction algorithm is based on fast interpolation technique very suitable for real-time data processing. Estimation of reconstruction method accuracy is made by computational model of the gas diffusion inside the pack. |
format | Online Article Text |
id | pubmed-6651848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66518482019-08-08 Gas Leakage Source Detection for Li-Ion Batteries by Distributed Sensor Array † Mateev, Valentin Marinova, Iliana Kartunov, Zhelyazko Sensors (Basel) Article Lithium-based batteries operation is related to some safety risks of dangerous flaming, integrity destruction, or even explosion. Gas leakage is an early and reliable indicator for such irreversible malfunctioning of electrical accumulators. Often, accurate gas emission source location sensing is difficult especially in heavy operational conditions, related to temperature changes, vibrations, movements, accelerations, etc. In this paper we propose a gas detection system, with catalytic type sensor array, and a numerical reconstruction method for precise gas emission source location inside the battery pack. The detection system employs a distributed array of CO sensors. Proposed sensor array configurations significantly reduce the number of sensing nodes inside the battery pack and fewer sensors than the protected battery elements are used. This way, data acquisition process by sensor nodes is also simplified. Several array configurations are considered according to their measurement efficiency and accuracy. Reconstruction algorithm is based on fast interpolation technique very suitable for real-time data processing. Estimation of reconstruction method accuracy is made by computational model of the gas diffusion inside the pack. MDPI 2019-06-30 /pmc/articles/PMC6651848/ /pubmed/31262052 http://dx.doi.org/10.3390/s19132900 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mateev, Valentin Marinova, Iliana Kartunov, Zhelyazko Gas Leakage Source Detection for Li-Ion Batteries by Distributed Sensor Array † |
title | Gas Leakage Source Detection for Li-Ion Batteries by Distributed Sensor Array † |
title_full | Gas Leakage Source Detection for Li-Ion Batteries by Distributed Sensor Array † |
title_fullStr | Gas Leakage Source Detection for Li-Ion Batteries by Distributed Sensor Array † |
title_full_unstemmed | Gas Leakage Source Detection for Li-Ion Batteries by Distributed Sensor Array † |
title_short | Gas Leakage Source Detection for Li-Ion Batteries by Distributed Sensor Array † |
title_sort | gas leakage source detection for li-ion batteries by distributed sensor array † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651848/ https://www.ncbi.nlm.nih.gov/pubmed/31262052 http://dx.doi.org/10.3390/s19132900 |
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