A technique for the simultaneous online estimation of the battery state of charge (SOC) and the parameters of a polynomial approximation of the open circuit voltage dependence on SOC is proposed. The strategy is based on an equivalent circuit model of the battery and it consists of a Luenberger SOC observer interlaced with a recursive least-square algorithm for the parameters estimation. The well-posedness of the co-estimation problem for different structures of the open circuit voltage characteristic is discussed. The technique is validated on real data coming from an automotive application.
Parameters identification for open circuit voltage characteristic in battery models
Mostacciuolo E.;Iannelli L.;Natella D.;Baccari S.;Vasca F.
2023-01-01
Abstract
A technique for the simultaneous online estimation of the battery state of charge (SOC) and the parameters of a polynomial approximation of the open circuit voltage dependence on SOC is proposed. The strategy is based on an equivalent circuit model of the battery and it consists of a Luenberger SOC observer interlaced with a recursive least-square algorithm for the parameters estimation. The well-posedness of the co-estimation problem for different structures of the open circuit voltage characteristic is discussed. The technique is validated on real data coming from an automotive application.File in questo prodotto:
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