- Tytuł:
- Nonlinear state observers and extended Kalman filters for battery systems
- Autorzy:
-
Rauh, A.
Butt, S. S.
Aschemann, H. - Powiązania:
- https://bibliotekanauki.pl/articles/330696.pdf
- Data publikacji:
- 2013
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
observer
state estimation
Riccati equations
extended Kalman filter
parameter estimation
obserwator
estymacja stanu
równanie różniczkowe Riccatiego
filtr Kalmana
estymacja parametryczna - Opis:
- 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.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2013, 23, 3; 539-556
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł