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Warianty tytułu
Języki publikacji
Abstrakty
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
Strony
539--556
Opis fizyczny
Bibliogr. 40 poz., rys., tab., wykr.
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
autor
- Chair of Mechatronics, University of Rostock, Justus-von-Liebig-Weg 6, D-18059 Rostock, Germany
Bibliografia
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- [17] Klein, R., Chaturvedi, N., Christensen, J., Ahmed, J., Findeisen, R. and Kojic, A. (2012). Electrochemical model based observer design for a lithium-ion battery, IEEE Transactions on Control Systems Technology PP(99): 1–13.
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- [23] Plett, G. (2004a). Extended Kalman filtering for battery management systems of LIPB-based HEV battery packs, Part 1: Background, Journal of Power Sources 134(2): 252–261.
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- [36] Wang, C. and Srinivasan, V. (2002). Computational battery dynamics (CBD)-electrochemical/thermal coupled modeling and multi-scale modeling, Journal of Power Sources 110(2): 364–376.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3f0b1844-3e01-4513-ace7-deb34b5db611