期刊
ENERGY
卷 90, 期 -, 页码 1426-1434出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2015.06.095
关键词
State of charge; Polarization depth; Nonlinear least square algorithm; Nonlinear observer; Lithium-ion batteries
资金
- China Postdoctoral Science Foundation Funded Project [2013M540941]
- Shenzhen Key Laboratory of LED Packaging Funded Project [NZDSY201206 19141243215]
The SOC (state of charge) is the most important index of the battery management systems. However, it cannot be measured directly with sensors and must be estimated with mathematical techniques. An accurate battery model is crucial to exactly estimate the SOC. In order to improve the model accuracy, this paper presents an improved parameter identification method. Firstly, the concept of polarization depth is proposed based on the analysis of polarization characteristics of the lithium-ion batteries. Then, the nonlinear least square technique is applied to determine the model parameters according to data collected from pulsed discharge experiments. The results show that the proposed method can reduce the model error as compared with the conventional approach. Furthermore, a nonlinear observer presented in the previous work is utilized to verify the validity of the proposed parameter identification method in SOC estimation. Finally, experiments with different levels of discharge current are carried out to investigate the influence of polarization depth on SOC estimation. Experimental results show that the proposed method can improve the SOC estimation accuracy as compared with the conventional approach, especially under the conditions of large discharge current. (C) 2015 Elsevier Ltd. All rights reserved.
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