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Time-Domain Circuit Modelling for Hybrid Supercapacitors

Fabio Corti, Michelangelo-Santo Gulino, Maurizio Laschi, Gabriele Maria Lozito, Luca Pugi, Alberto Reatti, Dario Vangi

2021Energies35 citationsDOIOpen Access PDF

Abstract

Classic circuit modeling for supercapacitors is limited in representing the strongly non-linear behavior of the hybrid supercapacitor technology. In this work, two novel modeling techniques suitable to represent the time-domain electrical behavior of a hybrid supercapacitor are presented. The first technique enhances a well-affirmed circuit model by introducing specific non-linearities. The second technique models the device through a black-box approach with a neural network. Both the modeling techniques are validated experimentally using a workbench to acquire data from a real hybrid supercapacitor. The proposed models, suitable for different supercapacitor technologies, achieve higher accuracy and generalization capabilities compared to those already presented in the literature. Both modeling techniques allow for an accurate representation of both short-time domain and steady-state simulations, providing a valuable asset in electrical designs featuring supercapacitors.

Topics & Concepts

SupercapacitorComputer scienceRepresentation (politics)WorkbenchGeneralizationElectronic engineeringDomain (mathematical analysis)Black boxCapacitanceEngineeringArtificial intelligenceMathematicsVisualizationPoliticsPhysical chemistryElectrodePolitical scienceChemistryLawMathematical analysisSupercapacitor Materials and FabricationElectric and Hybrid Vehicle TechnologiesAdvanced Battery Technologies Research
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