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Battery state-of-charge estimation using polynomial enhanced prediction

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4 Author(s)
Unterrieder, C. ; Networked & Embedded Syst., Univ. of Klagenfurt, Klagenfurt, Austria ; Lunglmayr, M. ; Marsili, S. ; Huemer, M.

A novel polynomial-enhanced open-circuit voltage extrapolation method is presented. It is used to identify a battery's state-of-charge based on the estimation of the corresponding relaxation voltage. The proposed method represents the relaxation process via a polynomial enhanced voltage model, calculated by least squares estimation. Compared to state-of-the-art models, the proposed approach reduces the period of time needed until the state-of-charge can be accurately determined. For the particular cell under test, an open-circuit voltage accuracy of '1 can be reached within the first 11 minutes of the relaxation process. In addition, the reduced estimation time also leads to a lower power consumption of an integrated circuit-based battery identification solution.

Published in:

Electronics Letters  (Volume:48 ,  Issue: 21 )

Date of Publication:

October 11 2012

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