加强锂离子电池监测:对各种传感方法的严格审查

IF 15 1区 工程技术 Q1 ENERGY & FUELS
Jun Peng , Xuan Zhao , Jian Ma , Dean Meng , Jiangong Zhu , Jufan Zhang , Siqian Yan , Kai Zhang , Zexiu Han
{"title":"加强锂离子电池监测:对各种传感方法的严格审查","authors":"Jun Peng ,&nbsp;Xuan Zhao ,&nbsp;Jian Ma ,&nbsp;Dean Meng ,&nbsp;Jiangong Zhu ,&nbsp;Jufan Zhang ,&nbsp;Siqian Yan ,&nbsp;Kai Zhang ,&nbsp;Zexiu Han","doi":"10.1016/j.etran.2024.100360","DOIUrl":null,"url":null,"abstract":"<div><p>Lithium-ion batteries (LIBs) play a pivotal role in promoting transportation electrification and clean energy storage. The safe and efficient operation is the biggest challenge for LIBs. Smart batteries and intelligent management systems are one of the effective solutions to address this issue. Multiparameter monitoring is regarded as a promising tool to achieve the goal. This paper provides an overview of the state of the art in multiparameter monitoring approaches for LIBs. Further, the sensing principle, experimental configuration, and sensor performance are elaborated and discussed. The results show that internal parameter monitoring of cells is more attractive and challenging than external parameter monitoring. Temperature, deformation, and gas are the most concerned parameters inside batteries. Finally, the outlooks and challenges for the implementation and application of LIB multiparameter monitoring are investigated from two aspects: internal parameters monitoring and application of the monitored multivariate data. Compact, precise, and stable sensors compatible with the internal environment of batteries as well as efficient and intelligent algorithms for battery management are still awaiting breakthroughs.</p></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"22 ","pages":"Article 100360"},"PeriodicalIF":15.0000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing lithium-ion battery monitoring: A critical review of diverse sensing approaches\",\"authors\":\"Jun Peng ,&nbsp;Xuan Zhao ,&nbsp;Jian Ma ,&nbsp;Dean Meng ,&nbsp;Jiangong Zhu ,&nbsp;Jufan Zhang ,&nbsp;Siqian Yan ,&nbsp;Kai Zhang ,&nbsp;Zexiu Han\",\"doi\":\"10.1016/j.etran.2024.100360\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Lithium-ion batteries (LIBs) play a pivotal role in promoting transportation electrification and clean energy storage. The safe and efficient operation is the biggest challenge for LIBs. Smart batteries and intelligent management systems are one of the effective solutions to address this issue. Multiparameter monitoring is regarded as a promising tool to achieve the goal. This paper provides an overview of the state of the art in multiparameter monitoring approaches for LIBs. Further, the sensing principle, experimental configuration, and sensor performance are elaborated and discussed. The results show that internal parameter monitoring of cells is more attractive and challenging than external parameter monitoring. Temperature, deformation, and gas are the most concerned parameters inside batteries. Finally, the outlooks and challenges for the implementation and application of LIB multiparameter monitoring are investigated from two aspects: internal parameters monitoring and application of the monitored multivariate data. Compact, precise, and stable sensors compatible with the internal environment of batteries as well as efficient and intelligent algorithms for battery management are still awaiting breakthroughs.</p></div>\",\"PeriodicalId\":36355,\"journal\":{\"name\":\"Etransportation\",\"volume\":\"22 \",\"pages\":\"Article 100360\"},\"PeriodicalIF\":15.0000,\"publicationDate\":\"2024-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Etransportation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S259011682400050X\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Etransportation","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S259011682400050X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

锂离子电池(LIB)在促进交通电气化和清洁能源存储方面发挥着举足轻重的作用。安全高效地运行是锂离子电池面临的最大挑战。智能电池和智能管理系统是解决这一问题的有效方案之一。多参数监测被认为是实现这一目标的有效工具。本文概述了锂电池多参数监测方法的最新进展。此外,还对传感原理、实验配置和传感器性能进行了阐述和讨论。结果表明,与外部参数监测相比,电池内部参数监测更具吸引力和挑战性。温度、变形和气体是电池内部最受关注的参数。最后,从内部参数监测和监测到的多变量数据的应用这两个方面探讨了 LIB 多参数监测的实施和应用前景与挑战。与电池内部环境相适应的紧凑、精确、稳定的传感器以及高效、智能的电池管理算法仍有待突破。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing lithium-ion battery monitoring: A critical review of diverse sensing approaches

Lithium-ion batteries (LIBs) play a pivotal role in promoting transportation electrification and clean energy storage. The safe and efficient operation is the biggest challenge for LIBs. Smart batteries and intelligent management systems are one of the effective solutions to address this issue. Multiparameter monitoring is regarded as a promising tool to achieve the goal. This paper provides an overview of the state of the art in multiparameter monitoring approaches for LIBs. Further, the sensing principle, experimental configuration, and sensor performance are elaborated and discussed. The results show that internal parameter monitoring of cells is more attractive and challenging than external parameter monitoring. Temperature, deformation, and gas are the most concerned parameters inside batteries. Finally, the outlooks and challenges for the implementation and application of LIB multiparameter monitoring are investigated from two aspects: internal parameters monitoring and application of the monitored multivariate data. Compact, precise, and stable sensors compatible with the internal environment of batteries as well as efficient and intelligent algorithms for battery management are still awaiting breakthroughs.

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
Etransportation
Etransportation Engineering-Automotive Engineering
CiteScore
19.80
自引率
12.60%
发文量
57
审稿时长
39 days
期刊介绍: eTransportation is a scholarly journal that aims to advance knowledge in the field of electric transportation. It focuses on all modes of transportation that utilize electricity as their primary source of energy, including electric vehicles, trains, ships, and aircraft. The journal covers all stages of research, development, and testing of new technologies, systems, and devices related to electrical transportation. The journal welcomes the use of simulation and analysis tools at the system, transport, or device level. Its primary emphasis is on the study of the electrical and electronic aspects of transportation systems. However, it also considers research on mechanical parts or subsystems of vehicles if there is a clear interaction with electrical or electronic equipment. Please note that this journal excludes other aspects such as sociological, political, regulatory, or environmental factors from its scope.
×
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