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Nonlinear state observers and extended Kalman filters for battery systems

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

Creator:

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

Date:

2013

Resource Type:

artykuł

Contributor:

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

Group publication title:

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.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:78866

DOI:

10.2478/amcs-2013-0041

Pages:

539-556

Source:

AMCS, volume 23, number 3 (2013)

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

observers state estimation Riccati equations extended Kalman filters parameter estimation

Object collections:

Last modified:

Nov 5, 2024

In our library since:

Apr 22, 2024

Number of object content hits:

35

All available object's versions:

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

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Nonlinear state observers and extended Kalman filters for battery systems Nov 5, 2024

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Contact details

Address

University Library
al. Wojska Polskiego 71
65-762 Zielona Góra

Phone

(+48) 68 328 21 55

E-Mail

kontakt@zbc.uz.zgora.pl

Cyprian Norwid Voivodeship and
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al. Wojska Polskiego 9
65-077 Zielona Góra

(+48) 68 453 26 06

p.karp@biblioteka.zgora.pl

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