A double resistive-capacitive approach for the analysis of a hybrid battery-ultracapacitor integration study

dc.contributor.authorChmielewski, Adrian
dc.contributor.authorPiórkowski, Piotr
dc.contributor.authorBogdziński, Krzysztof
dc.contributor.authorKrawczyk, Paweł
dc.contributor.authorLorencki, Jakub
dc.contributor.authorKopczyński, Artur
dc.contributor.authorMożaryn, Jakub
dc.contributor.authorCosta-Castelló, Ramon
dc.contributor.authorOžana, Štěpán
dc.date.accessioned2026-04-30T14:09:23Z
dc.date.available2026-04-30T14:09:23Z
dc.date.issued2025
dc.description.abstractThe development of energy storage systems is significant for solving problems related to climate change. A hybrid energy storage system (HESS), combining batteries with ultracapacitors, may be a feasible way to improve the efficiency of electric vehicles and renewable energy applications. However, most existing research requires comprehensive modelling of HESS components under different operating conditions, hindering optimisation and real-world application. This study proposes a novel approach to analysing the set of differential equations of a substitute model of HESS and validates a model-based approach to investigate the performance of an HESS composed of a Valve-Regulated Lead Acid (VRLA) Absorbent Glass Mat (AGM) battery and a Maxwell ultracapacitor in a parallel configuration. Consequently, the set of differential equations describing the HESS dynamics is provided. The dynamics of this system are modelled with a double resistive-capacitive (2-RC) scheme using data from Hybrid Pulse Power Characterisation (HPPC) and pseudo-random cycles. Parameters are identified using the Levenberg-Marquardt algorithm. The model's accuracy is analysed, estimated and verified using Mean Square Errors (MSEs) and Normalised Root Mean Square Errors (NRMSEs) in the range of a State of Charge (SoC) from 0.1 to 0.9. Limitations of the proposed models are also discussed. Finally, the main advantages of HESSs are highlighted in terms of energy and open-circuit voltage (OCV) characteristics.
dc.description.issue2
dc.description.sourceWeb of Science
dc.description.volume18
dc.identifier.citationEnergies. 2025, vol. 18, issue 2, art. no. 251.
dc.identifier.doi10.3390/en18020251
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/10084/158514
dc.identifier.wos001405433300001
dc.language.isoen
dc.publisherMDPI
dc.relation.ispartofseriesEnergies
dc.relation.urihttps://doi.org/10.3390/en18020251
dc.rights© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
dc.rights.accessopenAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjecthybrid energy storage system
dc.subjectresistive-capacitive model
dc.subjectpulse power testing
dc.subjectparameter optimisation
dc.subjectLevenberg-Marquardt algorithm
dc.titleA double resistive-capacitive approach for the analysis of a hybrid battery-ultracapacitor integration study
dc.type.statusPeer-reviewed
dc.type.versionpublishedVersion
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