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个人信息Personal Information
教授 博士生导师
招生学科专业:
电气工程 -- 【招收博士、硕士研究生】 -- 自动化学院
能源动力 -- 【招收博士、硕士研究生】 -- 自动化学院
学历:南京航空航天大学
学位:工学博士学位
所在单位:自动化学院
办公地点:自动化学院电气楼(3号楼)204
电子邮箱:
On-board State-of-health Estimation Based on Charging Current Analysis for LiFePO4 batteries
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所属单位:自动化学院
发表刊物:2017 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE)
关键字:lithium-ion battery state-of-health (SoH) constant current constant-voltage (CCCV) charge equivalent time constant equivalent circuit model (ECM)
摘要:This paper proposes an on-board state-of-health (SoH) estimation method based on the charging current curve during the constant-voltage (CV) stage. Through analyzing the battery aging cycle data, the equivalent time constant based on the equivalent circuit model (ECM) is introduced to describe the dynamic characteristic of the current curve during the CV stage. In addition, only partial current curves are adopted to identify the equivalent time constant. Four lithium iron phosphate (LiFePO4) batteries are employed under test to validate the feasibility of the developed method. The results show that regardless of the adopted data length, the linear regression identified from one battery can be used to indicate the SoH of other three batteries within 1.5% error bound except a few outliers.
ISSN号:2329-3721
是否译文:否
发表时间:2017-01-01
合写作者:Yang, Jufeng,Xia, Bing,Mi, Chris
通讯作者:Mi, Chris,黄文新