Kunwar, Ria and Pal, Bhupender and Izan Izwan, Misnon and Hamdan, Daniyal and Zabihi, Fatemeh and Yang, Shengyuan and Sofer, Zděnek and Yang, Chun-Chen and Rajan, Jose (2023) Characterization of electrochemical double layer capacitor electrode using self-discharge measurements and modeling. Applied Energy, 334 (120658). pp. 1-12. ISSN 0306-2619. (Published)
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Abstract
A simple protocol to characterize the electrochemical double layer capacitors (EDLCs) using self-discharge (open circuit discharge) data and a three-branch electrical model is presented. The method relies on recording the self-discharge data of EDLCs and using it to estimate the parametric values of the variables in the model (time constants, maximum voltage, resistances, and capacitances). Porous carbon and metal oxide electrodes in three choice electrolytes are used for the experiments and the simulations are performed using MATLAB Simulink platform. The simulated and experimental self-discharge data are in close agreement for the EDLC storage mode but not for the battery type storage. The results are further validated by simulating the galvanostatic charge discharge (GCD) cycling data and fitting them to the experimental GCD of the assembled devices with high accuracies. The model presented here thus enables determination of charge storage parameters as well as whether a device is capacitive from a single self-discharge data, thereby providing an excellent tool to characterize EDLCs for both academia and industry.
Item Type: | Article |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Charge redistribution; Electrical energy storage systems (EESS); Electrical modeling; Supercapacitor modeling; Supercapacitors |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | Faculty of Industrial Sciences And Technology Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology |
Depositing User: | Mrs Norsaini Abdul Samat |
Date Deposited: | 05 Jul 2023 04:03 |
Last Modified: | 05 Jul 2023 04:03 |
URI: | http://umpir.ump.edu.my/id/eprint/37934 |
Download Statistic: | View Download Statistics |
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