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A General Parameter Identification Procedure Used for the Comparative Study of Supercapacitors Models

Author

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  • Henry Miniguano

    (Power Electronics Systems Group; Universidad Carlos III de Madrid, 28911 Leganés, Spain)

  • Andrés Barrado

    (Power Electronics Systems Group; Universidad Carlos III de Madrid, 28911 Leganés, Spain)

  • Cristina Fernández

    (Power Electronics Systems Group; Universidad Carlos III de Madrid, 28911 Leganés, Spain)

  • Pablo Zumel

    (Power Electronics Systems Group; Universidad Carlos III de Madrid, 28911 Leganés, Spain)

  • Antonio Lázaro

    (Power Electronics Systems Group; Universidad Carlos III de Madrid, 28911 Leganés, Spain)

Abstract

Supercapacitors with characteristics such as high power density, long cycling life, fast charge, and discharge response are used in different applications like hybrid and electric vehicles, grid integration of renewable energies, or medical equipment. The parametric identification and the supercapacitor model selection are two complex processes, which have a critical impact on the system design process. This paper shows a comparison of the six commonly used supercapacitor models, as well as a general and straightforward identification parameter procedure based on Simulink or Simscape and the Optimization Toolbox of Matlab ® . The proposed procedure allows for estimating the different parameters of every model using a different identification current profile. Once the parameters have been obtained, the performance of each supercapacitor model is evaluated through two current profiles applied to hybrid electric vehicles, the urban driving cycle (ECE-15 or UDC) and the hybrid pulse power characterization (HPPC). The experimental results show that the model accuracy depends on the identification profile, as well as the robustness of each supercapacitor model. Finally, some model and identification current profile recommendations are detailed.

Suggested Citation

  • Henry Miniguano & Andrés Barrado & Cristina Fernández & Pablo Zumel & Antonio Lázaro, 2019. "A General Parameter Identification Procedure Used for the Comparative Study of Supercapacitors Models," Energies, MDPI, vol. 12(9), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1776-:d:230008
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    References listed on IDEAS

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    Cited by:

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    2. Nayzel I. Jannif & Rahul R. Kumar & Ali Mohammadi & Giansalvo Cirrincione & Maurizio Cirrincione, 2023. "Constrained Least-Squares Parameter Estimation for a Double Layer Capacitor," Energies, MDPI, vol. 16(10), pages 1-19, May.
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    5. Neha Bhushan & Saad Mekhilef & Kok Soon Tey & Mohamed Shaaban & Mehdi Seyedmahmoudian & Alex Stojcevski, 2022. "Overview of Model- and Non-Model-Based Online Battery Management Systems for Electric Vehicle Applications: A Comprehensive Review of Experimental and Simulation Studies," Sustainability, MDPI, vol. 14(23), pages 1-31, November.
    6. Fabio Corti & Michelangelo-Santo Gulino & Maurizio Laschi & Gabriele Maria Lozito & Luca Pugi & Alberto Reatti & Dario Vangi, 2021. "Time-Domain Circuit Modelling for Hybrid Supercapacitors," Energies, MDPI, vol. 14(20), pages 1-16, October.
    7. Miroslaw Lewandowski & Marek Orzylowski, 2020. "Novel Time Method of Identification of Fractional Model Parameters of Supercapacitor," Energies, MDPI, vol. 13(11), pages 1-17, June.

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