Title :
Modeling and Parameter Identification of Lithium-Ion Capacitor Modules
Author :
Barcellona, Simone ; Ciccarelli, F. ; Iannuzzi, Diego ; Piegari, L.
Author_Institution :
Dept. of Electron., Inf. & Bionengineering (DEIB), Politec. di Milano, Milan, Italy
Abstract :
Lithium-ion capacitors (LiCs) are novel storage devices with a high power density and high energy density compared to conventional supercapacitors (SCs). This paper proposes a method to validate the previously developed characterization and modeling methods, which are the same as those used for a conventional SC with double-layer-activated carbon technology. This paper presents two relevant contributions. First, a full frequency range model and the experimental parameter identification of two kinds of LiC cells are presented. In order to extend the LiC cell parameter identification to a module composed of several series-connected cells, an aggregate model of the LiC module was investigated and validated. The results of experiments and numerical simulations demonstrate the value and effectiveness of the proposed model when the cells operate at room temperature.
Keywords :
parameter estimation; secondary cells; supercapacitors; LiC cell parameter identification; double-layer-activated carbon technology; experimental parameter identification; full frequency range model; high energy density; high power density; lithium-ion capacitor modules; room temperature; series-connected cells; storage devices; supercapacitors; temperature 293 K to 298 K; Batteries; Capacitance; Capacitors; Data models; Electrodes; Impedance; Numerical models; Lithium-ion capacitors (LiCs); parameter identification; supercapacitor (SC) performance;
Journal_Title :
Sustainable Energy, IEEE Transactions on
DOI :
10.1109/TSTE.2014.2301950