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Degree:Doctoral Degree in Engineering
School/Department:College of Automation Engineering

黄文新

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Education Level:南京航空航天大学

Paper Publications

On-board State-of-health Estimation Based on Charging Current Analysis for LiFePO4 batteries
Date of Publication:2017-01-01 Hits:

Affiliation of Author(s):自动化学院
Journal:2017 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE)
Key Words:lithium-ion battery state-of-health (SoH) constant current constant-voltage (CCCV) charge equivalent time constant equivalent circuit model (ECM)
Abstract: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 No.:2329-3721
Translation or Not:no
Date of Publication:2017-01-01
Co-author:Yang, Jufeng,Xia, Bing,Mi, Chris
Correspondence Author:Mi, Chris,Huangwenxin
Date of Publication:2017-01-01