Failure assessment in lithium-ion battery packs in electric vehicles using the failure modes and effects analysis (FMEA) approach

Rizky Cahya Kirana, Nicco Avinta Purwanto, Nadana Ayzah Azis, E. Joelianto, S. Santosa, B. Budiman, Le Hoa Nguyen, A. Turnip
{"title":"Failure assessment in lithium-ion battery packs in electric vehicles using the failure modes and effects analysis (FMEA) approach","authors":"Rizky Cahya Kirana, Nicco Avinta Purwanto, Nadana Ayzah Azis, E. Joelianto, S. Santosa, B. Budiman, Le Hoa Nguyen, A. Turnip","doi":"10.14203/j.mev.2023.v14.94-104","DOIUrl":null,"url":null,"abstract":"The use of batteries in electric cars comes with inherent risks. As the crucial component of these vehicles, batteries must possess a highly dependable safety system to ensure the safety of users. To establish such a reliable safety system, a comprehensive analysis of potential battery failures is carried out. This research examines various failure modes and their effects, investigates the causes behind them, and quantifies the associated risks. The failure modes and effect analysis (FMEA) method is employed to classify these failures based on priority numbers. By studying 28 accident reports involving electric vehicles, data is collected to identify potential failure modes and evaluate their risks. The results obtained from the FMEA assessment are used to propose safety measures, considering the importance of the potential failure modes as indicated by their risk priority number (RPN). The design incorporates safeguards against mechanical stress, external short circuits, and thermal runaway incidents. The findings of this study enhance our understanding of electric vehicle (EV) battery safety and offer valuable insights to EV manufacturers, regulators, and policymakers, aiding them in the development of safer and more reliable electric vehicles.","PeriodicalId":30530,"journal":{"name":"Journal of Mechatronics Electrical Power and Vehicular Technology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mechatronics Electrical Power and Vehicular Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14203/j.mev.2023.v14.94-104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The use of batteries in electric cars comes with inherent risks. As the crucial component of these vehicles, batteries must possess a highly dependable safety system to ensure the safety of users. To establish such a reliable safety system, a comprehensive analysis of potential battery failures is carried out. This research examines various failure modes and their effects, investigates the causes behind them, and quantifies the associated risks. The failure modes and effect analysis (FMEA) method is employed to classify these failures based on priority numbers. By studying 28 accident reports involving electric vehicles, data is collected to identify potential failure modes and evaluate their risks. The results obtained from the FMEA assessment are used to propose safety measures, considering the importance of the potential failure modes as indicated by their risk priority number (RPN). The design incorporates safeguards against mechanical stress, external short circuits, and thermal runaway incidents. The findings of this study enhance our understanding of electric vehicle (EV) battery safety and offer valuable insights to EV manufacturers, regulators, and policymakers, aiding them in the development of safer and more reliable electric vehicles.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用故障模式和影响分析(FMEA)方法对电动汽车锂离子电池组进行故障评估
在电动汽车中使用电池存在固有的风险。电池作为这些车辆的关键部件,必须具有高度可靠的安全系统,以确保用户的安全。为了建立这样一个可靠的安全系统,对潜在的电池故障进行了全面的分析。本研究考察了各种失效模式及其影响,调查了其背后的原因,并量化了相关风险。采用失效模式与影响分析(FMEA)方法,根据优先级数对故障进行分类。通过研究28份涉及电动汽车的事故报告,收集数据以识别潜在的故障模式并评估其风险。FMEA评估的结果被用来提出安全措施,考虑到潜在失效模式的重要性,它们的风险优先级数(RPN)表示。该设计包含了防止机械应力、外部短路和热失控事件的保护措施。本研究的发现增强了我们对电动汽车电池安全性的理解,并为电动汽车制造商、监管机构和政策制定者提供了有价值的见解,帮助他们开发更安全、更可靠的电动汽车。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.70
自引率
0.00%
发文量
10
期刊最新文献
Five-axis parallel mechanism system (PMS) CNC partial link control system based on modified inverse kinematic of 6-DOF UPS parallel manipulator Impact of road load parameters on vehicle CO₂ emissions and fuel economy: A case study in Indonesia LSTM-based forecasting on electric vehicles battery swapping demand: Addressing infrastructure challenge in Indonesia Stability analysis of a hybrid DC-DC buck converter model using dissipation inequality and convex optimization Artificial intelligence in smart grids: A bibliometric analysis and scientific mapping study
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1