A Novel Method for Estimating State-of-Charge of Lithium-ion Battery Pack Based on General Open Circuit Voltage

Hao Lei, Xiaokai Chen, R. Xiong
{"title":"A Novel Method for Estimating State-of-Charge of Lithium-ion Battery Pack Based on General Open Circuit Voltage","authors":"Hao Lei, Xiaokai Chen, R. Xiong","doi":"10.12783/dteees/iceee2019/31817","DOIUrl":null,"url":null,"abstract":"The relationship between open-circuit-voltage (OCV) and the state of charge (SOC) has shown a considerable influence on the accuracy of SOC estimation. In this study, in order to deal with the uncertainty and inconsistency of the OCV curve in the battery pack, a novel method for SOC estimation based on the general OCV is proposed. The general OCV unifies the OCV curves of all the cells in the battery pack and can be used to solve the OCV derivative in EKF-based SOC estimation, but it brings model deviation meanwhile. Therefore, the battery model is corrected by the model bias, which is obtained by online identification with other model parameters. The case study results show that the results of SOC estimation is accurate and stable, with the maximum absolute error less than 6% at 0°C, 4% at 25°C and 45°C.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":"79 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Environment, Energy and Earth Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/dteees/iceee2019/31817","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 relationship between open-circuit-voltage (OCV) and the state of charge (SOC) has shown a considerable influence on the accuracy of SOC estimation. In this study, in order to deal with the uncertainty and inconsistency of the OCV curve in the battery pack, a novel method for SOC estimation based on the general OCV is proposed. The general OCV unifies the OCV curves of all the cells in the battery pack and can be used to solve the OCV derivative in EKF-based SOC estimation, but it brings model deviation meanwhile. Therefore, the battery model is corrected by the model bias, which is obtained by online identification with other model parameters. The case study results show that the results of SOC estimation is accurate and stable, with the maximum absolute error less than 6% at 0°C, 4% at 25°C and 45°C.
一种基于总开路电压估算锂离子电池组充电状态的新方法
开路电压(OCV)与荷电状态(SOC)之间的关系对荷电状态估计的准确性有相当大的影响。本研究针对电池组中OCV曲线的不确定性和不一致性,提出了一种基于通用OCV的电池荷电状态估计方法。通用OCV统一了电池组中所有电池的OCV曲线,可用于求解基于ekf的荷电状态估计中的OCV导数,但同时也带来了模型偏差。因此,通过与其他模型参数在线辨识得到的模型偏差对电池模型进行校正。实例研究结果表明,SOC估算结果准确稳定,在0°C、25°C和45°C条件下最大绝对误差小于6%。
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
自引率
0.00%
发文量
0
×
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