TY - GEN
T1 - Scalable model generation for supercapacitors applications by using Prony's method
AU - Hasan, Shereen
AU - Al Ahmad, Mahmoud
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Scalable models generation for supercapacitor is a proper way to design, analyze and show how these supercapacitors scale up for applications which based on circuits and systems. Therefore, the primary objective of this research study was to construct a scalable models generation for supercapacitor applications by using Prony's method (ARMA modeling) using electrochemical impedance spectroscopy and phase angle measurements. This research is carried out on Maxwell set of capacitors ranging from 5 to 50F. In addition, this paper includes five sections: introduction, methodology and model proposed, experimental work, results and discussions and conclusions. Finally, the error and confidence interval issues were studied and plotted to check the accuracy and validity of the system model.
AB - Scalable models generation for supercapacitor is a proper way to design, analyze and show how these supercapacitors scale up for applications which based on circuits and systems. Therefore, the primary objective of this research study was to construct a scalable models generation for supercapacitor applications by using Prony's method (ARMA modeling) using electrochemical impedance spectroscopy and phase angle measurements. This research is carried out on Maxwell set of capacitors ranging from 5 to 50F. In addition, this paper includes five sections: introduction, methodology and model proposed, experimental work, results and discussions and conclusions. Finally, the error and confidence interval issues were studied and plotted to check the accuracy and validity of the system model.
KW - Prony's method
KW - Scalable model
KW - Supercapacitor and Statistical analysis
UR - http://www.scopus.com/inward/record.url?scp=85050856154&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050856154&partnerID=8YFLogxK
U2 - 10.1109/ICETAS.2017.8277913
DO - 10.1109/ICETAS.2017.8277913
M3 - Conference contribution
AN - SCOPUS:85050856154
T3 - 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
SP - 1
EP - 5
BT - 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Y2 - 29 November 2017 through 1 December 2017
ER -