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Postprint
DOI: 10.5445/IR/1000085395
Frei zugänglich ab 17.08.2019
Originalveröffentlichung
DOI: 10.23919/ACC.2018.8430859

Fractional Extended and Unscented Kalman Filtering for State of Charge Estimation of Lithium-Ion Batteries

Kupper, Martin; Funk, Christopher; Eckert, Marius; Hohmann, Sören

Abstract:
Two state of charge estimation methods using fractional order extended and unscented Kalman filter and a nonlinear variable fractional order battery model are implemented. Both, battery model and Kalman filters are evaluated and compared using measurements of an actual lithium-ion polymer battery cell. The observability of the battery model and the influence of an initialization function on the estimation algorithms is investigated.


Zugehörige Institution(en) am KIT Institut für Regelungs- und Steuerungssysteme (IRS)
Publikationstyp Proceedingsbeitrag
Jahr 2018
Sprache Englisch
Identifikator ISBN: 978-1-5386-5429-3
URN: urn:nbn:de:swb:90-853951
KITopen ID: 1000085395
Erschienen in 2018 Annual American Control Conference (ACC), Milwaukee, WI, USA, 27–29 June 2018
Verlag IEEE, Picataway (NJ)
Seiten 3855–3862
Vorab online veröffentlicht am 16.08.2018
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