提高电动汽车电池组系统的机械可靠性和安全性能:综述

IF 17 1区 工程技术 Q1 ENERGY & FUELS
Ibna Kawsar, Honggang Li, Binghe Liu, Yongzhi Zhang, Yongjun Pan
{"title":"提高电动汽车电池组系统的机械可靠性和安全性能:综述","authors":"Ibna Kawsar,&nbsp;Honggang Li,&nbsp;Binghe Liu,&nbsp;Yongzhi Zhang,&nbsp;Yongjun Pan","doi":"10.1016/j.etran.2025.100469","DOIUrl":null,"url":null,"abstract":"<div><div>In electric vehicles (EVs), battery packs (BPs) are susceptible to mechanical and functional failures, where various environmental factors are influenced. Although standard testing procedures contribute to improved safety and overall performance, current research primarily examines individual factors, neglecting a comprehensive assessment of battery pack (BP) design solutions. This review comprehensively analyzes safety standards, empirical research, and advances in patent design to provide a broad perspective on the safety of battery pack systems (BPS). Specifically, it examines the responses of BPs to severe environmental conditions, including vibrations, mechanical shock, and collisions. The paper presents comprehensive design solutions, providing valuable knowledge on reducing the likelihood of failure and addressing safety concerns. The review emphasizes the importance of a complete optimization strategy for BPS, explicitly focusing on analyzing mechanical reactions, particularly concerning the reliability and efficacy of safety alerts. The conclusion highlights the imperative to meet operational requirements and safety standards in the design of BP, emphasizing the importance of adopting a robust structural design approach. The study suggested adopting harmonized standards for testing in realistic scenarios. Furthermore, this study makes an innovative contribution by exploring advanced technologies, such as FEA-DNN, reinforcement learning, and various intelligent optimization algorithms, to mitigate mechanical stresses, vibrations, shock impacts, and collision-induced damage in different work environments, providing engineering guidance to enhance the safety performance of BPS.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"26 ","pages":"Article 100469"},"PeriodicalIF":17.0000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing mechanical reliability and safety performance of a battery pack system for electric vehicles: A review\",\"authors\":\"Ibna Kawsar,&nbsp;Honggang Li,&nbsp;Binghe Liu,&nbsp;Yongzhi Zhang,&nbsp;Yongjun Pan\",\"doi\":\"10.1016/j.etran.2025.100469\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In electric vehicles (EVs), battery packs (BPs) are susceptible to mechanical and functional failures, where various environmental factors are influenced. Although standard testing procedures contribute to improved safety and overall performance, current research primarily examines individual factors, neglecting a comprehensive assessment of battery pack (BP) design solutions. This review comprehensively analyzes safety standards, empirical research, and advances in patent design to provide a broad perspective on the safety of battery pack systems (BPS). Specifically, it examines the responses of BPs to severe environmental conditions, including vibrations, mechanical shock, and collisions. The paper presents comprehensive design solutions, providing valuable knowledge on reducing the likelihood of failure and addressing safety concerns. The review emphasizes the importance of a complete optimization strategy for BPS, explicitly focusing on analyzing mechanical reactions, particularly concerning the reliability and efficacy of safety alerts. The conclusion highlights the imperative to meet operational requirements and safety standards in the design of BP, emphasizing the importance of adopting a robust structural design approach. The study suggested adopting harmonized standards for testing in realistic scenarios. Furthermore, this study makes an innovative contribution by exploring advanced technologies, such as FEA-DNN, reinforcement learning, and various intelligent optimization algorithms, to mitigate mechanical stresses, vibrations, shock impacts, and collision-induced damage in different work environments, providing engineering guidance to enhance the safety performance of BPS.</div></div>\",\"PeriodicalId\":36355,\"journal\":{\"name\":\"Etransportation\",\"volume\":\"26 \",\"pages\":\"Article 100469\"},\"PeriodicalIF\":17.0000,\"publicationDate\":\"2025-09-08\",\"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/S2590116825000761\",\"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/S2590116825000761","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

在电动汽车(ev)中,电池组(bp)容易受到机械和功能故障的影响,其中各种环境因素都受到影响。虽然标准测试程序有助于提高安全性和整体性能,但目前的研究主要是检查单个因素,而忽略了对电池组(BP)设计解决方案的全面评估。本文综合分析了安全标准、实证研究和专利设计的进展,为电池组系统(BPS)的安全性提供了一个广阔的视角。具体来说,它检查了bp对恶劣环境条件的响应,包括振动、机械冲击和碰撞。本文提出了全面的设计解决方案,提供了减少故障可能性和解决安全问题的宝贵知识。该综述强调了BPS完整优化策略的重要性,明确侧重于分析机械反应,特别是安全警报的可靠性和有效性。结论强调了在BP设计中满足运行要求和安全标准的必要性,强调了采用稳健的结构设计方法的重要性。该研究建议在现实情况下采用统一的测试标准。此外,本研究还探索了先进的技术,如有限元深度神经网络、强化学习和各种智能优化算法,以减轻不同工作环境下的机械应力、振动、冲击冲击和碰撞损伤,为提高BPS的安全性能提供了工程指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing mechanical reliability and safety performance of a battery pack system for electric vehicles: A review
In electric vehicles (EVs), battery packs (BPs) are susceptible to mechanical and functional failures, where various environmental factors are influenced. Although standard testing procedures contribute to improved safety and overall performance, current research primarily examines individual factors, neglecting a comprehensive assessment of battery pack (BP) design solutions. This review comprehensively analyzes safety standards, empirical research, and advances in patent design to provide a broad perspective on the safety of battery pack systems (BPS). Specifically, it examines the responses of BPs to severe environmental conditions, including vibrations, mechanical shock, and collisions. The paper presents comprehensive design solutions, providing valuable knowledge on reducing the likelihood of failure and addressing safety concerns. The review emphasizes the importance of a complete optimization strategy for BPS, explicitly focusing on analyzing mechanical reactions, particularly concerning the reliability and efficacy of safety alerts. The conclusion highlights the imperative to meet operational requirements and safety standards in the design of BP, emphasizing the importance of adopting a robust structural design approach. The study suggested adopting harmonized standards for testing in realistic scenarios. Furthermore, this study makes an innovative contribution by exploring advanced technologies, such as FEA-DNN, reinforcement learning, and various intelligent optimization algorithms, to mitigate mechanical stresses, vibrations, shock impacts, and collision-induced damage in different work environments, providing engineering guidance to enhance the safety performance of BPS.
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:604180095
Book学术官方微信