Parameter Identification of a Double-Layer-Capacitor 2-Branch Model by a Least-Squares Method (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• Parameter Identification of a Double-Layer-Capacitor 2-Branch Model by a Least-Squares Method (Contributo in atti di convegno) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Alternative label

• Pucci, M.; Vitale, G.; Cirrincione, G.; Cirrincione, M. (2013)
  Parameter Identification of a Double-Layer-Capacitor 2-Branch Model by a Least-Squares Method
  in IEEE IECON 2013, 39th Annual Conference of the IEEE Industrial Electronics Society, Vienna, Austria, 10-13 November 2013
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Pucci, M.; Vitale, G.; Cirrincione, G.; Cirrincione, M. (literal)

Pagina inizio

• 6770 (literal)

Pagina fine

• 6776 (literal)

Rivista

• Proceedings of the Annual Conference of the IEEE Industrial Electronics Society (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 7 (literal)

Note

• Scopu (literal)
• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Consiglio Nazionale delle Ricerche (CNR) (literal)

Titolo

• Parameter Identification of a Double-Layer-Capacitor 2-Branch Model by a Least-Squares Method (literal)

Abstract

• A parameter estimation method has been developed by manipulation of the dynamical equations describing the equivalent circuit of a 2-branch Double-Layer-Capacitor (DLC) supercapacitor model. This results in an over-determined matrix equation which can be solved by a least-squares method, in particular the (Total Least Squares) TLS EXIN neuron, making it exploitable also for on-line applications. Three parameters of the circuit can be computed in this way. The remaining parameters can be easily computed by two discharge tests, respectively one at constant current and the other at constant current load This method is quick, it needs only one set of measurement data and is robust to noise and stochastic measurement errors. Both simulation and experimental tests have been made to assess the methodology. (literal)

Editore

• IEEE - Institute of Electrical and Electronics Engineers (Editore)

Prodotto di

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Convertitori, attuatori e azionamenti elettrici (SP.P03.011.001) (Modulo)

Autore CNR

• GIANPAOLO VITALE (Unità di personale interno)
• MARCELLO PUCCI (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Parameter Identification of a Double-Layer-Capacitor 2-Branch Model by a Least-Squares Method" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Convertitori, attuatori e azionamenti elettrici (SP.P03.011.001) (Modulo)

Autore CNR di

• MARCELLO PUCCI (Unità di personale interno)
• GIANPAOLO VITALE (Unità di personale interno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Proceedings of the Annual Conference of the IEEE Industrial Electronics Society (Rivista)

Editore di

• IEEE - Institute of Electrical and Electronics Engineers (Editore)

Insieme di parole chiave di

• Keywords of "Parameter Identification of a Double-Layer-Capacitor 2-Branch Model by a Least-Squares Method" (Insieme di parole chiave)