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2013 | 23 | 3 | 539-556
Tytuł artykułu

Nonlinear state observers and extended Kalman filters for battery systems

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The focus of this paper is to develop reliable observer and filtering techniques for finite-dimensional battery models that adequately describe the charging and discharging behaviors. For this purpose, an experimentally validated battery model taken from the literature is extended by a mathematical description that represents parameter variations caused by aging. The corresponding disturbance models account for the fact that neither the state of charge, nor the above-mentioned parameter variations are directly accessible by measurements. Moreover, this work provides a comparison of the performance of different observer and filtering techniques as well as a development of estimation procedures that guarantee a reliable detection of large parameter variations. For that reason, different charging and discharging current profiles of batteries are investigated by numerical simulations. The estimation procedures considered in this paper are, firstly, a nonlinear Luenberger-type state observer with an offline calculated gain scheduling approach, secondly, a continuous-time extended Kalman filter and, thirdly, a hybrid extended Kalman filter, where the corresponding filter gains are computed online.
Rocznik
Tom
23
Numer
3
Strony
539-556
Opis fizyczny
Daty
wydano
2013
otrzymano
2012-08-27
poprawiono
2013-03-14
poprawiono
2013-04-28
Twórcy
autor
  • Chair of Mechatronics, University of Rostock, Justus-von-Liebig-Weg 6, D-18059 Rostock, Germany
autor
  • Chair of Mechatronics, University of Rostock, Justus-von-Liebig-Weg 6, D-18059 Rostock, Germany
  • Chair of Mechatronics, University of Rostock, Justus-von-Liebig-Weg 6, D-18059 Rostock, Germany
Bibliografia
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Typ dokumentu
Bibliografia
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Identyfikator YADDA
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