Battery open-circuit voltage estimation by a method of statistical analysisSnihir, I., Rey, W., Verbitskiy, E., Belfadhel-Ayeb, A. & Notten, P. H. L., 2006, In : Default journal. 4 p.
Research output: Contribution to journal › Article › Academic
The basic task of a battery management system (BMS) is the optimal utilization of the stored energy and minimization of degradation effects. It is critical for a BMS that the state-of-charge (SoC) be accurately determined. Open-circuit voltage (OCV) is directly related to the state-of-charge of the battery, accurate estimation of the OCV leads to an accurate estimate of the SoC. In this paper we describe a statistical method to predict the open-circuit voltage on the basis of voltage curves obtained by charging batteries with different currents. We employ a dimension reduction method (Karhunen–Loeve expansion) and linear regression. Results of our modelling approach are independently validated in a specially designed experiment.
|Number of pages||4|
|Publication status||Published - 2006|
- Regression, Karhunen–Loeve expansion, State-of-charge, Open-circuit voltage, Battery
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