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Nonlinear state observers and extended Kalman filters for battery systems

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Tytuł: Nonlinear state observers and extended Kalman filters for battery systems

Autor:

Rauh, Andreas ; Butt, Saif S. ; Aschemann, Harald

Data wydania:

2013

Typ zasobu:

artykuł

Współtwórca:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Tytuł publikacji grupowej:

AMCS, Volume 23 (2013)

Abstract:

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.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Identyfikator zasobu:

oai:zbc.uz.zgora.pl:78866

DOI:

10.2478/amcs-2013-0041

Strony:

539-556

Źródło:

AMCS, volume 23, number 3 (2013)

Jezyk:

eng

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego

Temat i słowa kluczowe:

observers state estimation Riccati equations extended Kalman filters parameter estimation

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

2024-11-05

Data dodania obiektu:

2024-04-22

Liczba wyświetleń treści obiektu:

35

Wszystkie dostępne wersje tego obiektu:

https://zbc.uz.zgora.pl/repozytorium/publication/88660

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Wyświetl opis w formacie OAI-PMH:

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Nazwa wydania Data
Nonlinear state observers and extended Kalman filters for battery systems 2024-11-05

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