2006 |
Sabatier, Jocelyn; Aoun, Mohamed; Oustaloup, Alain; Grégoire, Gilles; Ragot, Franck; Roy, Patrick Fractional system identification for lead acid battery state of charge estimation Article de journal Dans: Signal Processing, vol. 86, no. 10, p. 2645 – 2657, 2006, (Cited by: 269). Résumé | Liens | BibTeX | Étiquettes: Fractional order dynamical systems, Fractional system identification method, Identification (control systems), Lead acid batteries, Mathematical models, Parameter estimation, State of charge estimation, Thermal effects @article{Sabatier20062645b,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. © 2006 Elsevier B.V. All rights reserved. |
Sabatier, Jocelyn; Aoun, Mohamed; Oustaloup, Alain; Grégoire, Gilles; Ragot, Franck; Roy, Patrick Fractional system identification for lead acid battery state of charge estimation Article de journal Dans: Signal Processing, vol. 86, no. 10, p. 2645 – 2657, 2006, (Cited by: 269). Résumé | Liens | BibTeX | Étiquettes: Fractional order dynamical systems, Fractional system identification method, Identification (control systems), Lead acid batteries, Mathematical models, Parameter estimation, State of charge estimation, Thermal effects @article{Sabatier20062645,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. © 2006 Elsevier B.V. All rights reserved. |
Publications
2006 |
Fractional system identification for lead acid battery state of charge estimation Article de journal Dans: Signal Processing, vol. 86, no. 10, p. 2645 – 2657, 2006, (Cited by: 269). |
Fractional system identification for lead acid battery state of charge estimation Article de journal Dans: Signal Processing, vol. 86, no. 10, p. 2645 – 2657, 2006, (Cited by: 269). |