Experimental Application of Least-Squares Technique for Estimation of Double Layer Super Capacitor Parameters

Nayzel Imran Jannif , Giansalvo Cirrincione (1) , Maurizio Cirrincione (2) , Ali Moharnmadi , Gianpaolo Vitale (3)

1 LTI - Laboratoire des technologies innovantes - UR UPJV 3899
2 USP - University of the South Pacific
3 ICAR - Institute of High Performance Computing and Networking

In this paper the Parameters of a Double Layer Super Capacitor (DLC) Bank are experimentally identified online using Recursive Least Squares (RLS). In order to extract the signals suitable for the RLS a proper signal processing system has been implemented. Results have been verified with those obtained with an off-line common technique applied to the 2-branch model of the DLC.

Domaines: Sciences de l'ingénieur [physics]

Nayzel Imran Jannif, Giansalvo Cirrincione, Maurizio Cirrincione, Ali Moharnmadi, Gianpaolo Vitale. Experimental Application of Least-Squares Technique for Estimation of Double Layer Super Capacitor Parameters. 2017 20TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), Aug 2017, Sydney, Australia. ⟨hal-03631452⟩