对锂离子电池在高温下释放的挥发性有机化合物进行阻抗法早期感应

IF 4.6 4区 化学 Q2 ELECTROCHEMISTRY
Batteries Pub Date : 2023-11-22 DOI:10.3390/batteries9120562
Palwinder Kaur, Isaac K. Stier, Sudeshna Bagchi, V. Pol, A. Bhondekar
{"title":"对锂离子电池在高温下释放的挥发性有机化合物进行阻抗法早期感应","authors":"Palwinder Kaur, Isaac K. Stier, Sudeshna Bagchi, V. Pol, A. Bhondekar","doi":"10.3390/batteries9120562","DOIUrl":null,"url":null,"abstract":"Lithium-ion batteries prove to be a promising technology for achieving present and future goals regarding energy resources. However, a few cases of lithium-ion battery fires and failures caused by thermal runaway have been reported in various news articles; therefore, it is important to enhance the safety of the batteries and their end users. The early detection of thermal runaway by detecting gases/volatile organic compounds (VOCs) released at the initial stages of thermal runaway can be used as a warning to end users. An interdigitated platinum electrode spin-coated with a sub-micron thick layer of poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT: PSS) showed sensitivity for two VOCs (ethyl-methyl carbonate and methyl formate) released from Li-ion batteries during thermal runaway, as well as their binary mixtures at elevated temperatures, which were measured using impedance spectroscopy over a frequency range of 1 MHz to 1 Hz. The sensor response was tested at three different high temperatures (40 °C, 55 °C, and 70 °C) for single analytes and binary mixtures of two VOCs at 5 ppm, 15 ppm, and 30 ppm concentrations. Equivalent electrical parameters were derived from impedance data. A machine learning approach was used to classify the sensor’s response. Classification algorithms classify the sensor’s response at elevated temperatures for different analytes with an accuracy greater than 70%. The success of the reported sensors will enhance battery safety via the early detection of thermal runaway.","PeriodicalId":8755,"journal":{"name":"Batteries","volume":"6 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impedimetric Early Sensing of Volatile Organic Compounds Released from Li-Ion Batteries at Elevated Temperatures\",\"authors\":\"Palwinder Kaur, Isaac K. Stier, Sudeshna Bagchi, V. Pol, A. Bhondekar\",\"doi\":\"10.3390/batteries9120562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lithium-ion batteries prove to be a promising technology for achieving present and future goals regarding energy resources. However, a few cases of lithium-ion battery fires and failures caused by thermal runaway have been reported in various news articles; therefore, it is important to enhance the safety of the batteries and their end users. The early detection of thermal runaway by detecting gases/volatile organic compounds (VOCs) released at the initial stages of thermal runaway can be used as a warning to end users. An interdigitated platinum electrode spin-coated with a sub-micron thick layer of poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT: PSS) showed sensitivity for two VOCs (ethyl-methyl carbonate and methyl formate) released from Li-ion batteries during thermal runaway, as well as their binary mixtures at elevated temperatures, which were measured using impedance spectroscopy over a frequency range of 1 MHz to 1 Hz. The sensor response was tested at three different high temperatures (40 °C, 55 °C, and 70 °C) for single analytes and binary mixtures of two VOCs at 5 ppm, 15 ppm, and 30 ppm concentrations. Equivalent electrical parameters were derived from impedance data. A machine learning approach was used to classify the sensor’s response. Classification algorithms classify the sensor’s response at elevated temperatures for different analytes with an accuracy greater than 70%. The success of the reported sensors will enhance battery safety via the early detection of thermal runaway.\",\"PeriodicalId\":8755,\"journal\":{\"name\":\"Batteries\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Batteries\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.3390/batteries9120562\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ELECTROCHEMISTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Batteries","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.3390/batteries9120562","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ELECTROCHEMISTRY","Score":null,"Total":0}
引用次数: 0

摘要

锂离子电池被证明是实现当前和未来能源目标的一项前景广阔的技术。然而,各种新闻报道中也出现了一些因热失控而导致锂离子电池起火和失效的案例;因此,提高电池及其最终用户的安全性非常重要。通过检测热失控初期释放的气体/挥发性有机化合物(VOCs)来早期检测热失控,可以向最终用户发出警告。使用阻抗光谱法在 1 MHz 至 1 Hz 的频率范围内测量了在亚微米厚的聚(3,4-亚乙二氧基噻吩)聚苯乙烯磺酸盐(PEDOT: PSS)层上旋涂的互咬铂电极对锂离子电池在热失控过程中释放的两种挥发性有机化合物(碳酸乙酯和甲酸甲酯)以及它们在高温下的二元混合物的灵敏度。在三种不同的高温条件下(40 °C、55 °C、70 °C),对浓度分别为 5 ppm、15 ppm 和 30 ppm 的单一分析物和两种挥发性有机化合物的二元混合物进行了传感器响应测试。等效电参数由阻抗数据得出。使用机器学习方法对传感器的响应进行分类。分类算法可对传感器在高温下对不同分析物的响应进行分类,准确率超过 70%。报告传感器的成功将通过早期检测热失控提高电池安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impedimetric Early Sensing of Volatile Organic Compounds Released from Li-Ion Batteries at Elevated Temperatures
Lithium-ion batteries prove to be a promising technology for achieving present and future goals regarding energy resources. However, a few cases of lithium-ion battery fires and failures caused by thermal runaway have been reported in various news articles; therefore, it is important to enhance the safety of the batteries and their end users. The early detection of thermal runaway by detecting gases/volatile organic compounds (VOCs) released at the initial stages of thermal runaway can be used as a warning to end users. An interdigitated platinum electrode spin-coated with a sub-micron thick layer of poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT: PSS) showed sensitivity for two VOCs (ethyl-methyl carbonate and methyl formate) released from Li-ion batteries during thermal runaway, as well as their binary mixtures at elevated temperatures, which were measured using impedance spectroscopy over a frequency range of 1 MHz to 1 Hz. The sensor response was tested at three different high temperatures (40 °C, 55 °C, and 70 °C) for single analytes and binary mixtures of two VOCs at 5 ppm, 15 ppm, and 30 ppm concentrations. Equivalent electrical parameters were derived from impedance data. A machine learning approach was used to classify the sensor’s response. Classification algorithms classify the sensor’s response at elevated temperatures for different analytes with an accuracy greater than 70%. The success of the reported sensors will enhance battery safety via the early detection of thermal runaway.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Batteries
Batteries Energy-Energy Engineering and Power Technology
CiteScore
4.00
自引率
15.00%
发文量
217
审稿时长
7 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信