Life Extrapolation Model for Lithium-ion Battery with Accelerated Degradation Test

2019 Prognostics and System Health Management Conference (PHM-Qingdao) Pub Date : 2019-10-01 DOI:10.1109/phm-qingdao46334.2019.8943027

Yandong Hou, Wei Wu, Yuchen Song, Chen Yang, Datong Liu, Yu Peng

{"title":"Life Extrapolation Model for Lithium-ion Battery with Accelerated Degradation Test","authors":"Yandong Hou, Wei Wu, Yuchen Song, Chen Yang, Datong Liu, Yu Peng","doi":"10.1109/phm-qingdao46334.2019.8943027","DOIUrl":null,"url":null,"abstract":"Battery life estimation is a key part for lithium cells for a long cycle life. The purpose of this paper is to develop a life extrapolation model for evaluating the lithium-ion battery cycle life with accelerated degradation test (ADT) data. An ADT is carried out including lithium-ion battery cells discharged with different current. The ADT data are used for parameterization with the accelerated model and distribution model. The lifetime of normal working condition is obtained by the fusion of accelerated model and accelerated data. To improve ability for life extrapolation, the proposed method is modeled with uncertainty expression by confidence lower limits and confidence lower limits for the reliability for the extrapolated life. Finally, extrapolation trajectory with uncertainty expression is obtained and the extrapolation result indicates that the proposed model can provide more accurate estimates with life extrapolation. In addition, the remaining useful life corresponding to any discharge current can be also calculated.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/phm-qingdao46334.2019.8943027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

Battery life estimation is a key part for lithium cells for a long cycle life. The purpose of this paper is to develop a life extrapolation model for evaluating the lithium-ion battery cycle life with accelerated degradation test (ADT) data. An ADT is carried out including lithium-ion battery cells discharged with different current. The ADT data are used for parameterization with the accelerated model and distribution model. The lifetime of normal working condition is obtained by the fusion of accelerated model and accelerated data. To improve ability for life extrapolation, the proposed method is modeled with uncertainty expression by confidence lower limits and confidence lower limits for the reliability for the extrapolated life. Finally, extrapolation trajectory with uncertainty expression is obtained and the extrapolation result indicates that the proposed model can provide more accurate estimates with life extrapolation. In addition, the remaining useful life corresponding to any discharge current can be also calculated.

查看原文本刊更多论文

含加速退化试验的锂离子电池寿命外推模型

电池寿命估算是锂电池实现长循环寿命的关键环节。本文的目的是建立一个基于加速退化试验(ADT)数据评估锂离子电池循环寿命的寿命外推模型。对放电电流不同的锂离子电池进行了ADT实验。利用ADT数据对加速模型和分布模型进行参数化。通过对加速模型和加速数据的融合，得到了正常工作状态下的寿命。为了提高寿命外推的能力，该方法采用不确定性的置信下限和可信度下限来表示外推寿命的可靠性。最后，得到了具有不确定性表达式的外推轨迹，外推结果表明，采用寿命外推可以提供更准确的估计。此外，还可以计算任意放电电流对应的剩余使用寿命。

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分钟内获得全文求助全文

来源期刊

2019 Prognostics and System Health Management Conference (PHM-Qingdao)

自引率

0.00%

发文量