黄文新

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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

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Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis

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所属单位:自动化学院

发表刊物:APPLIED ENERGY

关键字:Lithium-ion battery State-of-health (SoH) Constant-current constant-voltage (CCCV) charge Equivalent circuit model (ECM) Current time constant

摘要:Battery state-of-health (SoH) estimation is a critical function in a well-designed battery management system (BMS). In this paper, the battery SoH is detected based on the dynamic characteristic of the charging current during the constant-voltage (CV) period. Firstly, according to the preliminary analysis of the battery test data, the time constant of CV charging current is proved to be a robust characteristic parameter related to the battery aging. Secondly, the detailed expression of the current time constant is derived based on the first order equivalent circuit model (ECM). Thirdly, the quantitative correlation between the normalized battery capacity and the current time constant is established to indicate the battery SoH. Specifically, for the uncompleted CV charging process, the logarithmic function-based current time constant prediction model and the reference correlation curve are established to identify the battery capacity fading. At last, experimental results showed that regardless of the adopted data size, the correlation identified from one battery can be used to indicate the SoH of other three batteries within 2.5% error bound except a few outliers.

ISSN号:0306-2619

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发表时间:2018-02-15

合写作者:Yang, Jufeng,Xia, Bing,Fu, Yuhong,Mi, Chris

通讯作者:Mi, Chris,黄文新