Battery parameter identification with Pseudo Random Binary Sequence excitation (PRBS)

被引:52
作者
Fairweather, A. J. [1 ]
Foster, M. P. [2 ]
Stone, D. A. [2 ]
机构
[1] Vxl Power Ltd, N Hykeham LN6 3QY, Lincoln, England
[2] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S10 2TN, S Yorkshire, England
关键词
Batteries; Modelling; PRBS; State estimation;
D O I
10.1016/j.jpowsour.2011.06.072
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
This paper extends previous work on the use of maximum length sequences as tools for parameter estimation within electrochemical batteries. An improved technique using a simplified monopolar current pulse excitation strategy allows identification of Randles' model equivalent circuit values, which can be subsequently employed in state-of-charge and state-of-health algorithms. Within the approach the problems associated with establishing bulk capacitance over a short time period are avoided. Instead, using readily identifiable parameters (surface capacitance, series resistance and charge transfer resistance) comparison of parameters for new and aged batteries is carried out, and a potential indicator for State of Health described. Experimental results are presented to verify the proposed technique. (C) 2011 Published by Elsevier B.V.
引用
收藏
页码:9398 / 9406
页数:9
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