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

被引：0
作者：
Jannif, Nayzel Imran [1 ]
Cirrincione, Giansalvo [2 ]
Cirrincione, Maurizio [1 ]
Moharnmadi, Ali [1 ]
Vitale, Gianpaolo [3 ]
机构：
[1] Univ South Pacific, Suva, Fiji
[2] Univ Picardie Jules Verne, Amiens, France
[3] Consiglio Nazl Ric CNR, ISSIA, Via Dante, Palermo, Italy
来源：
2017 20TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS) | 2017年
关键词：
Supercapacitors; signal processing; parameter identification; Recursive Least Squares; SUPERCAPACITOR; IDENTIFICATION; MODEL;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：5
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