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.

Time-Domain Circuit Modelling for Hybrid Supercapacitors / Fabio Corti, Michelangelo-Santo Gulino, Maurizio Laschi, Gabriele Maria Lozito, Luca Pugi, Alberto Reatti, Dario Vangi. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - (2021), pp. 1-16. [10.3390/en14206837]

Time-Domain Circuit Modelling for Hybrid Supercapacitors

Fabio Corti;Michelangelo-Santo Gulino;Maurizio Laschi;Gabriele Maria Lozito;Luca Pugi;Alberto Reatti;Dario Vangi
2021

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.
2021
1
16
Goal 7: Affordable and clean energy
Goal 9: Industry, Innovation, and Infrastructure
Fabio Corti, Michelangelo-Santo Gulino, Maurizio Laschi, Gabriele Maria Lozito, Luca Pugi, Alberto Reatti, Dario Vangi
File in questo prodotto:
File Dimensione Formato  
energies-14-06837-v2.pdf

accesso aperto

Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 4.11 MB
Formato Adobe PDF
4.11 MB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1245793
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 33
  • ???jsp.display-item.citation.isi??? 24
social impact