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Fractional System Identification for Lead Acid Battery State of Charge Estimation by Jocelyn Sabatier; Mohamed Aoun; Alain Oustaloup; Gilles Grégoire; Franck Ragot; Patrick Roy is a Computer Science article available to read on EtoBox.

What is Fractional System Identification for Lead Acid Battery State of Charge Estimation about?

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.

Who reads Fractional System Identification for Lead Acid Battery State of Charge Estimation?

Author

Jocelyn Sabatier; Mohamed Aoun; Alain Oustaloup; Gilles Grégoire; Franck Ragot; Patrick Roy

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0165-1684)

Published

2006

Language

EN

Field

Computer Science (Physical Sciences)