Comprehensive Performance Evaluation Strategy for Power Battery System based on Dynamic Weight

IF 2.7 4区 工程技术 Q3 ELECTROCHEMISTRY Journal of Electrochemical Energy Conversion and Storage Pub Date : 2023-04-11 DOI:10.1115/1.4062287
You Xu, Hongxian Liu, Zhenxing Zheng, Jingxiang Yao, Kaiqing Zhou, Jiehao Li
{"title":"Comprehensive Performance Evaluation Strategy for Power Battery System based on Dynamic Weight","authors":"You Xu, Hongxian Liu, Zhenxing Zheng, Jingxiang Yao, Kaiqing Zhou, Jiehao Li","doi":"10.1115/1.4062287","DOIUrl":null,"url":null,"abstract":"\n New energy vehicles are the effective solution to solve the situation of carbon neutrality with carbon peaking in China. The power battery system is the key component of new energy vehicles, and its performance is directly related to the safety and cruising range. Since the performance of the battery system is affected by factors such as electrical contact stability, voltage and current characteristics, and its own temperature, its full life cycle performance cannot be comprehensively evaluated, resulting in the inefficient prediction and protective measures. In this paper, the electrical contact stability evaluation index is proposed by studying the relationship between the electrical contact stability and the fluctuation characteristics of the reversed equilibrium potential. The parameters including electrical contact stability, polynomial-based status of charge (SoC), the status of health (SoH), the status of consistency, as well as battery system temperature constituted the performance matrix of the battery system. A comprehensive performance evaluation method of power battery system based on dynamic weight is designed with normalized classification. Finally, the cyclic charge-discharge test experiment under the vibration status were carried out to verify the effectiveness of the method. The result showed that the method can characterize various functions and provide an intuitive and detailed evaluation for the safety prediction of battery system.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrochemical Energy Conversion and Storage","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4062287","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ELECTROCHEMISTRY","Score":null,"Total":0}
引用次数: 0

Abstract

New energy vehicles are the effective solution to solve the situation of carbon neutrality with carbon peaking in China. The power battery system is the key component of new energy vehicles, and its performance is directly related to the safety and cruising range. Since the performance of the battery system is affected by factors such as electrical contact stability, voltage and current characteristics, and its own temperature, its full life cycle performance cannot be comprehensively evaluated, resulting in the inefficient prediction and protective measures. In this paper, the electrical contact stability evaluation index is proposed by studying the relationship between the electrical contact stability and the fluctuation characteristics of the reversed equilibrium potential. The parameters including electrical contact stability, polynomial-based status of charge (SoC), the status of health (SoH), the status of consistency, as well as battery system temperature constituted the performance matrix of the battery system. A comprehensive performance evaluation method of power battery system based on dynamic weight is designed with normalized classification. Finally, the cyclic charge-discharge test experiment under the vibration status were carried out to verify the effectiveness of the method. The result showed that the method can characterize various functions and provide an intuitive and detailed evaluation for the safety prediction of battery system.
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
基于动态权重的动力电池系统综合性能评价策略
新能源汽车是解决中国碳中和和碳调峰局面的有效途径。动力电池系统是新能源汽车的关键部件,其性能直接关系到汽车的安全性和续航里程。由于电池系统的性能受电接触稳定性、电压电流特性、自身温度等因素的影响,无法对其全生命周期性能进行综合评价,导致预测和保护措施效率低下。本文通过研究电接触稳定性与反平衡电位波动特性之间的关系,提出了电接触稳定性评价指标。电接触稳定性、基于多项式的充电状态(SoC)、健康状态(SoH)、一致性状态以及电池系统温度等参数构成了电池系统的性能矩阵。设计了一种基于归一化分类的动力电池系统动态权重综合性能评价方法。最后进行了振动状态下的循环充放电试验,验证了该方法的有效性。结果表明,该方法可以表征各种功能,为电池系统的安全预测提供直观、详细的评价。
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
4.90
自引率
4.00%
发文量
69
期刊介绍: The Journal of Electrochemical Energy Conversion and Storage focuses on processes, components, devices and systems that store and convert electrical and chemical energy. This journal publishes peer-reviewed archival scholarly articles, research papers, technical briefs, review articles, perspective articles, and special volumes. Specific areas of interest include electrochemical engineering, electrocatalysis, novel materials, analysis and design of components, devices, and systems, balance of plant, novel numerical and analytical simulations, advanced materials characterization, innovative material synthesis and manufacturing methods, thermal management, reliability, durability, and damage tolerance.
期刊最新文献
Internal short circuit and dynamic response of large-format prismatic lithium-ion battery under mechanical abuse Thermal runaway characteristics of Ni-rich lithium-ion batteries employing TPP-based electrolytes Coupled Multiphysics Modeling of Lithium-ion Batteries for Automotive Crashworthiness Applications Mechanical deformation in lithium-ion battery electrodes: modelling and experiment Neural Network-Based Modeling of Diffusion-Induced Stress in a Hollow Cylindrical Nano-Electrode of Lithium-Ion Battery
×
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