Experimental Evaluation of Mathematical and Artificial Neural Network Modeling of Energy Storage System

Adrian Chmielewski , Jakub Możaryn , Robert Gumiński , Krzysztof Jakub Bogdziński , Przemysław Szulim


This article presents an experimental evaluation based on a mathematical model and an artificial neural network (ANN) model of an energy storage system. Because of a nonlinear description of charging/discharging dynamics in subsequent cycles and a coupling of the terminal voltage and temperatures of a battery, the recurrent artificial neural network structure (R-ANN) is proposed. Both models, analytical and R-ANN were employed to predict a behavior of the VRLA AGM battery. A training and testing data were gathered at the laboratory stand in different working conditions. As a result, we present the analysis of differences between proposed modeling approaches.
Author Adrian Chmielewski (FACME / IV)
Adrian Chmielewski,,
- Institute of Vehicles
, Jakub Możaryn (FM / IACR)
Jakub Możaryn,,
- The Institute of Automatic Control and Robotics
, Robert Gumiński (FACME / IAE)
Robert Gumiński,,
- Institute of Automotive Engineering
, Krzysztof Jakub Bogdziński (FACME / IV)
Krzysztof Jakub Bogdziński,,
- Institute of Vehicles
, Przemysław Szulim (FACME / IAE)
Przemysław Szulim,,
- Institute of Automotive Engineering
Publication size in sheets0.65
Book Awrejcewicz Jan (eds.): Dynamical Systems in Applications, Springer Proceedings in Mathematics & Statistics, vol. 249, 2018, Springer, ISBN 978-3-319-96600-7, [978-3-319-96601-4], 506 p., DOI:10.1007/978-3-319-96601-4
Keywords in Englishrecurrent artificial neural network, energy storage, experimental evaluation, VRLA AGM battery
URL https://link.springer.com/chapter/10.1007%2F978-3-319-96601-4_5
Languageen angielski
LicensePublisher website (books and chapters only); published final; Uznanie Autorstwa (CC-BY); after publication
Score (nominal)20
Score sourcepublisherList
ScoreMinisterial score = 20.0, 16-01-2020, ChapterFromConference
Publication indicators WoS Citations = 1
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