Fractional system identification for lead acid battery state of charge estimation

Authors:
Jocelyn Sabatier;Mohamed Aoun;Alain Oustaloup;Gilles Grégoire;Franck Ragot;Patrick Roy
Affiliations:
LAPS-ENSEIRB-Université Bordeaux, Talence cedex, France;LAPS-ENSEIRB-Université Bordeaux, Talence cedex, France;LAPS-ENSEIRB-Université Bordeaux, Talence cedex, France;PSA Peugeot Citroen-DRIA, Velizy-Villacoublay Cedex, France;PSA Peugeot Citroen-DRIA, Velizy-Villacoublay Cedex, France;PSA Peugeot Citroen-DRIA, Velizy-Villacoublay Cedex, France
Venue:
Signal Processing - Fractional calculus applications in signals and systems
Year:
2006

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Abstract

This paper deals with the application of fractional system identification to lead acid battery state of charge estimation. Fractional behavior of lead acid batteries is justified. A fractional system identification method recently developed is presented and a new fractional model of the battery is proposed. Based on parameter variations of this model, a state of charge estimation method is presented. Validation tests of this method on unknown state of charge are carried out. These validation tests highlights that the proposed estimation method gives a state of charge estimation with an error close to 5% whatever the operating temperature.