SOC estimation for Li-Ion batteries based on equivalent circuit diagrams and the application of a Kalman filter

A. Rahmoun, H. Biechl, A. Rosin
{"title":"SOC estimation for Li-Ion batteries based on equivalent circuit diagrams and the application of a Kalman filter","authors":"A. Rahmoun, H. Biechl, A. Rosin","doi":"10.1109/PQ.2012.6256238","DOIUrl":null,"url":null,"abstract":"Batteries play an essential role in electric vehicles (EV), and obtain more and more importance also in smart grids due to the non-constant power generation of renewable energy sources. In order to achieve an optimum operation of systems with batteries it is necessary to develop accurate mathematical models for the calculation of the state of charge (SOC), taking into account the individual operation by the user. This paper presents the fundamentals of a method how to determine SOC of lithiumion batteries on the basis of two different equivalent circuit diagrams and an Extended Kalman Filter (EKF). The comparison between measurement and computation results shows a good accordance. The accurate determination of SOC of a battery in an EV is of high importance for the prediction of the distance that can be driven. In the first step the dependency of these parameters on the temperature and on the battery age is neglected.","PeriodicalId":185013,"journal":{"name":"2012 Electric Power Quality and Supply Reliability","volume":"191 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Electric Power Quality and Supply Reliability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PQ.2012.6256238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

Abstract

Batteries play an essential role in electric vehicles (EV), and obtain more and more importance also in smart grids due to the non-constant power generation of renewable energy sources. In order to achieve an optimum operation of systems with batteries it is necessary to develop accurate mathematical models for the calculation of the state of charge (SOC), taking into account the individual operation by the user. This paper presents the fundamentals of a method how to determine SOC of lithiumion batteries on the basis of two different equivalent circuit diagrams and an Extended Kalman Filter (EKF). The comparison between measurement and computation results shows a good accordance. The accurate determination of SOC of a battery in an EV is of high importance for the prediction of the distance that can be driven. In the first step the dependency of these parameters on the temperature and on the battery age is neglected.
基于等效电路图和卡尔曼滤波的锂离子电池荷电状态估计
电池在电动汽车中起着至关重要的作用,由于可再生能源发电的不稳定,电池在智能电网中也越来越受到重视。为了实现电池系统的最佳运行,有必要开发精确的数学模型来计算充电状态(SOC),同时考虑到用户的个人操作。本文介绍了一种基于两种不同等效电路图和扩展卡尔曼滤波(EKF)的锂离子电池荷电状态测定方法的基本原理。实测结果与计算结果比较表明,两者吻合较好。准确测定电动汽车电池荷电状态对于预测电动汽车可行驶距离具有重要意义。在第一步中,忽略了这些参数对温度和电池寿命的依赖性。
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:604180095
Book学术官方微信