Parameter Identification of Flexible Supercapacitors with Fractional Cuckoo Search

被引：0
|
作者：
AbdelAty, A. M. [1 ]
Fouda, M. E. [2 ,3 ]
Elbarawy, M. T. M. M. [1 ]
Attia, H. A. [1 ]
Radwan, A. G. [2 ,4 ]
机构：
[1] Fayoum Univ, Fac Engn, Engn Math & Phys Dept, Faiyum, Egypt
[2] Cairo Univ, Fac Engn, Engn Math & Phys Dept, Cairo, Egypt
[3] Univ Calif Irvine, Elect Engn & Comp Sci Dept, Irvine, CA USA
[4] Nile Univ, Sch Engn & Appl Sci, Giza, Egypt
来源：
2020 32ND INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM) | 2020年
关键词：
Flexible SuperCapacitor; R-s-CPE model; R-p-R-s-CPE model; R-s-C-CPE model; Cuckoo search; ENERGY-STORAGE;
D O I：
10.1109/ICM50269.2020.9331777
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we identify the model parameters of flexible supercapacitors from time-domain data using fractional cuckoo search. The time-domain data are five galvanostatic charging/discharging (GCD) curves of reduced graphene oxidebased flexible supercapacitor at different exfoliated-graphene-mediated graphene oxide (EGM-rGO) relative content. These time-domain curves are used the parameters of three wellknown supercapacitor models: R-s-CPE, R-p-R-s-CPE, and RsC-CPE. The extracted parameters are summarized, and the effect of EGM-rGO relative content is discussed. Based on these discussions, one model is recommended for each EGM-rGO relative content.
引用
收藏
页码：238 / 241
页数：4
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