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Comparative Analysis of a New Class of Symmetric and Asymmetric Supercapacitors Constructed on the Basis of ITO Collectors

Author

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  • Michał Gocki

    (Scientific and Didactic Laboratory of Nanotechnology and Material Technologies, Faculty of Mechanics and Technology, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Agnieszka Jakubowska-Ciszek

    (Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Piotr Pruski

    (Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland)

Abstract

The paper presents the results of research on new electroconductive polymer materials, based on polypyrrole, for the different supercapacitor constructions, i.e., the symmetric and asymmetric constructions. All the supercapacitors considered contain ITO collectors. Measurements of the complex impedance frequency characteristics were performed for these elements using the electrochemical impedance spectroscopy (EIS) method. Selected fractional-order models, known from the literature, have been used to model the impedance of these elements. The Particle Swarm Optimization (PSO) algorithm was used to estimate the model parameters. Selected estimation results, their comparison, and conclusions are also presented in the paper. The type of active electrolyte component has the greatest impact on the shape of the impedance frequency characteristics. In most cases, the highest capacitance values and the smallest resistance values were obtained for asymmetric supercapacitors.

Suggested Citation

  • Michał Gocki & Agnieszka Jakubowska-Ciszek & Piotr Pruski, 2022. "Comparative Analysis of a New Class of Symmetric and Asymmetric Supercapacitors Constructed on the Basis of ITO Collectors," Energies, MDPI, vol. 16(1), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:306-:d:1016965
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    References listed on IDEAS

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    1. Hajra Khan & Imran Fareed Nizami & Saeed Mian Qaisar & Asad Waqar & Moez Krichen & Abdulaziz Turki Almaktoom, 2022. "Analyzing Optimal Battery Sizing in Microgrids Based on the Feature Selection and Machine Learning Approaches," Energies, MDPI, vol. 15(21), pages 1-22, October.
    2. Bogdan Gilev & Miroslav Andreev & Nikolay Hinov & George Angelov, 2022. "Modeling and Simulation of a Low-Cost Fast Charging Station Based on a Micro Gas Turbine and a Supercapacitor," Energies, MDPI, vol. 15(21), pages 1-15, October.
    3. Kasun Subasinghage & Kosala Gunawardane & Nisitha Padmawansa & Nihal Kularatna & Mehdi Moradian, 2022. "Modern Supercapacitors Technologies and Their Applicability in Mature Electrical Engineering Applications," Energies, MDPI, vol. 15(20), pages 1-15, October.
    4. Saif Jamal & Jagadeesh Pasupuleti & Nur Azzammudin Rahmat & Nadia M. L. Tan, 2022. "Energy Management System for Grid-Connected Nanogrid during COVID-19," Energies, MDPI, vol. 15(20), pages 1-20, October.
    5. Pruski, Piotr & Paszek, Stefan, 2018. "Calculations of power system electromechanical eigenvalues based on analysis of instantaneous power waveforms at different disturbances," Applied Mathematics and Computation, Elsevier, vol. 319(C), pages 104-114.
    6. repec:cdl:itsdav:qt9n905017 is not listed on IDEAS
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