DocumentCode :
136548
Title :
Performance prediction of supercapacitor energy storage system based on characteristic parameter identification
Author :
Zhao Yang ; Jiang Ming ; Kang Li
Author_Institution :
Coll. of Electron. Eng., Dongguan Univ. of Technol., Dongguan, China
fYear :
2014
fDate :
Aug. 31 2014-Sept. 3 2014
Firstpage :
1
Lastpage :
3
Abstract :
Supercapacitor energy storage system is commonly composed of a large number of cells in parallel and series, which will increase the system´s complexity and decrease its reliability and safety. In order to make sure that the system is in good condition during working cycles, mastering each cell´s current performance is a key point. The current performance of supercapacitor can be described by some characteristic parameters such as equivalent capacitance and resistence. In this paper, performance prediction of supercapacitor based on equivalent circuit model and parameter identification is presented and analysed in details. According to the identification results, we can acquire the whole system´s performance state and realize condition-based maintenance, which will help to extend the energy storage system´s lifetime and ensure its reliability and safety.
Keywords :
electrical maintenance; electrical safety; parameter estimation; reliability; supercapacitors; characteristic parameter identification; condition-based maintenance; current performance; equivalent capacitance; equivalent circuit model; performance prediction; performance state; supercapacitor energy storage system; working cycles; Equivalent circuits; Integrated circuit modeling; Parameter estimation; Power system reliability; Reliability; Supercapacitors; characteristic parameter; energy storage system; identification; performance prediction; supercapacitor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
Type :
conf
DOI :
10.1109/ITEC-AP.2014.6940819
Filename :
6940819
Link To Document :
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