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Pregled bibliografske jedinice broj: 778837

Estimation of VRLA Battery States and Parameters using Sigma-point Kalman Filter

Kujundžić, Goran; Vašak, Mario; Matuško, Jadranko
Estimation of VRLA Battery States and Parameters using Sigma-point Kalman Filter // Proceedings of the 18th International Conference on Electrical drives and power electronics (EDPE 2015) and The 7th Joint Slovak-Croatian Conference / Fedák, Viliam ; Dudrik, Jaroslav ; Jakopović, Željko ; Kolonić, Fetah ; Matuško, Jadranko (ur.).
Košice, 2015. str. 204-211 doi:10.1109/EDPE.2015.7325295 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Estimation of VRLA Battery States and Parameters using Sigma-point Kalman Filter

Autori
Kujundžić, Goran ; Vašak, Mario ; Matuško, Jadranko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 18th International Conference on Electrical drives and power electronics (EDPE 2015) and The 7th Joint Slovak-Croatian Conference / Fedák, Viliam ; Dudrik, Jaroslav ; Jakopović, Željko ; Kolonić, Fetah ; Matuško, Jadranko - Košice, 2015, 204-211

ISBN
978-1-4673-9661-5

Skup
International Conference on Electrical drives and power electronics (18 ; 2015) ; Joint Slovak-Croatian Conference (7 ; 2015)

Mjesto i datum
Vysoké Tatry, Slovačka, 21.09.2015. - 23.09.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
valve-regulated lead-acid battery ; state of charge ; open-circuit voltage ; hybrid battery model ; Sigma-point Kalman filter ; state and parameter estimation

Sažetak
This paper describes a hybrid electrical model of valve-regulated lead-acid battery (VRLA) and its application in Matlab/Simulink environment. Based on the charge/discharge test characteristics of the telecommunication battery stack, all parameters of the hybrid electrical models are derived. After implementing the charge/discharge simulations of hybrid electrical model and comparisons with actual tests of battery stack, joint estimation of model states and parameters is carried out using Sigma-point Kalman filter (SPKF). Results of performed joint estimation correspond to model simulations and it is shown that the SPKF algorithm is good for estimation of model states and parameters. After validation of the hybrid electrical model and validation of SPKF algorithm, joint estimation of battery states and parameters is performed to charge/discharge test of VRLA battery stack using Unscented Kalman Filter (UKF) method.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Goran Kujundžić (autor)

Avatar Url Jadranko Matuško (autor)

Avatar Url Mario Vašak (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Kujundžić, Goran; Vašak, Mario; Matuško, Jadranko
Estimation of VRLA Battery States and Parameters using Sigma-point Kalman Filter // Proceedings of the 18th International Conference on Electrical drives and power electronics (EDPE 2015) and The 7th Joint Slovak-Croatian Conference / Fedák, Viliam ; Dudrik, Jaroslav ; Jakopović, Željko ; Kolonić, Fetah ; Matuško, Jadranko (ur.).
Košice, 2015. str. 204-211 doi:10.1109/EDPE.2015.7325295 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Kujundžić, G., Vašak, M. & Matuško, J. (2015) Estimation of VRLA Battery States and Parameters using Sigma-point Kalman Filter. U: Fedák, V., Dudrik, J., Jakopović, Ž., Kolonić, F. & Matuško, J. (ur.)Proceedings of the 18th International Conference on Electrical drives and power electronics (EDPE 2015) and The 7th Joint Slovak-Croatian Conference doi:10.1109/EDPE.2015.7325295.
@article{article, author = {Kujund\v{z}i\'{c}, Goran and Va\v{s}ak, Mario and Matu\v{s}ko, Jadranko}, year = {2015}, pages = {204-211}, DOI = {10.1109/EDPE.2015.7325295}, keywords = {valve-regulated lead-acid battery, state of charge, open-circuit voltage, hybrid battery model, Sigma-point Kalman filter, state and parameter estimation}, doi = {10.1109/EDPE.2015.7325295}, isbn = {978-1-4673-9661-5}, title = {Estimation of VRLA Battery States and Parameters using Sigma-point Kalman Filter}, keyword = {valve-regulated lead-acid battery, state of charge, open-circuit voltage, hybrid battery model, Sigma-point Kalman filter, state and parameter estimation}, publisherplace = {Vysok\'{e} Tatry, Slova\v{c}ka} }
@article{article, author = {Kujund\v{z}i\'{c}, Goran and Va\v{s}ak, Mario and Matu\v{s}ko, Jadranko}, year = {2015}, pages = {204-211}, DOI = {10.1109/EDPE.2015.7325295}, keywords = {valve-regulated lead-acid battery, state of charge, open-circuit voltage, hybrid battery model, Sigma-point Kalman filter, state and parameter estimation}, doi = {10.1109/EDPE.2015.7325295}, isbn = {978-1-4673-9661-5}, title = {Estimation of VRLA Battery States and Parameters using Sigma-point Kalman Filter}, keyword = {valve-regulated lead-acid battery, state of charge, open-circuit voltage, hybrid battery model, Sigma-point Kalman filter, state and parameter estimation}, publisherplace = {Vysok\'{e} Tatry, Slova\v{c}ka} }

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