IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i9p1776-d230008.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/9/1776/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/9/1776/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeongbin Lee & Jaeshin Yi & Daeyong Kim & Chee Burm Shin & Kyung-Seok Min & Jongrak Choi & Ha-Young Lee, 2014. "Modeling of the Electrical and Thermal Behaviors of an Ultracapacitor," Energies, MDPI, vol. 7(12), pages 1-15, December.
    2. Hengxing Ji & Xin Zhao & Zhenhua Qiao & Jeil Jung & Yanwu Zhu & Yalin Lu & Li Li Zhang & Allan H. MacDonald & Rodney S. Ruoff, 2014. "Capacitance of carbon-based electrical double-layer capacitors," Nature Communications, Nature, vol. 5(1), pages 1-7, May.
    3. Wang, Yujie & Liu, Chang & Pan, Rui & Chen, Zonghai, 2017. "Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator," Energy, Elsevier, vol. 121(C), pages 739-750.
    4. Chakraborty, Uday Kumar, 2009. "Static and dynamic modeling of solid oxide fuel cell using genetic programming," Energy, Elsevier, vol. 34(6), pages 740-751.
    5. Flavio Ciccarelli & Luigi Pio Di Noia & Renato Rizzo, 2018. "Integration of Photovoltaic Plants and Supercapacitors in Tramway Power Systems," Energies, MDPI, vol. 11(2), pages 1-14, February.
    6. Wei Wu & Julius Partridge & Richard Bucknall, 2019. "Development and Evaluation of a Degree of Hybridisation Identification Strategy for a Fuel Cell Supercapacitor Hybrid Bus," Energies, MDPI, vol. 12(1), pages 1-18, January.
    7. Chakraborty, Uday K. & Abbott, Travis E. & Das, Sajal K., 2012. "PEM fuel cell modeling using differential evolution," Energy, Elsevier, vol. 40(1), pages 387-399.
    8. Zhang, Lei & Hu, Xiaosong & Wang, Zhenpo & Sun, Fengchun & Dorrell, David G., 2018. "A review of supercapacitor modeling, estimation, and applications: A control/management perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1868-1878.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Carlos Roncero-Clemente & Eugenio Roanes-Lozano & Fermín Barrero-González, 2021. "A Multi-Criteria Computer Package-Based Energy Management System for a Grid-Connected AC Nanogrid," Mathematics, MDPI, vol. 9(5), pages 1-24, February.
    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.
    3. Roberto de Fazio & Donato Cafagna & Giorgio Marcuccio & Paolo Visconti, 2020. "Limitations and Characterization of Energy Storage Devices for Harvesting Applications," Energies, MDPI, vol. 13(4), pages 1-18, February.
    4. Yue Zhou & Hussein Obeid & Salah Laghrouche & Mickael Hilairet & Abdesslem Djerdir, 2020. "A Disturbance Rejection Control Strategy of a Single Converter Hybrid Electrical System Integrating Battery Degradation," Energies, MDPI, vol. 13(11), pages 1-19, June.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Bin & Wang, Chaohui & Wang, Zhiyu & Ni, Siliang & Yang, Yixin & Tian, Pengyu, 2023. "Adaptive state of energy evaluation for supercapacitor in emergency power system of more-electric aircraft," Energy, Elsevier, vol. 263(PA).
    2. Liu, Chunli & Li, Qiang & Wang, Kai, 2021. "State-of-charge estimation and remaining useful life prediction of supercapacitors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    3. El-Hay, E.A. & El-Hameed, M.A. & El-Fergany, A.A., 2019. "Optimized Parameters of SOFC for steady state and transient simulations using interior search algorithm," Energy, Elsevier, vol. 166(C), pages 451-461.
    4. Uday K. Chakraborty, 2019. "Proton Exchange Membrane Fuel Cell Stack Design Optimization Using an Improved Jaya Algorithm," Energies, MDPI, vol. 12(16), pages 1-26, August.
    5. Uday K. Chakraborty, 2018. "Reversible and Irreversible Potentials and an Inaccuracy in Popular Models in the Fuel Cell Literature," Energies, MDPI, vol. 11(7), pages 1-11, July.
    6. Banaja Mohanty & Rajvikram Madurai Elavarasan & Hany M. Hasanien & Elangovan Devaraj & Rania A. Turky & Rishi Pugazhendhi, 2022. "Parameters Identification of Proton Exchange Membrane Fuel Cell Model Based on the Lightning Search Algorithm," Energies, MDPI, vol. 15(21), pages 1-19, October.
    7. Puja Bhatt & Neha Agarwal & Uday K. Chakraborty, 2016. "Parameter Optimization of PEMFC with Genetic Algorithm," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 241-249, November.
    8. Parwal, Arvind & Fregelius, Martin & Temiz, Irinia & Göteman, Malin & Oliveira, Janaina G. de & Boström, Cecilia & Leijon, Mats, 2018. "Energy management for a grid-connected wave energy park through a hybrid energy storage system," Applied Energy, Elsevier, vol. 231(C), pages 399-411.
    9. Pedrayes, Joaquín F. & Melero, Manuel G. & Cano, Jose M. & Norniella, Joaquín G. & Duque, Salvador B. & Rojas, Carlos H. & Orcajo, Gonzalo A., 2021. "Lambert W function based closed-form expressions of supercapacitor electrical variables in constant power applications," Energy, Elsevier, vol. 218(C).
    10. Choudhary, Ram Bilash & Ansari, Sarfaraz & Majumder, Mandira, 2021. "Recent advances on redox active composites of metal-organic framework and conducting polymers as pseudocapacitor electrode material," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    11. Sharifi Asl, S.M. & Rowshanzamir, S. & Eikani, M.H., 2010. "Modelling and simulation of the steady-state and dynamic behaviour of a PEM fuel cell," Energy, Elsevier, vol. 35(4), pages 1633-1646.
    12. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine," Applied Energy, Elsevier, vol. 254(C).
    13. Vitayasak, Srisatja & Pongcharoen, Pupong & Hicks, Chris, 2017. "A tool for solving stochastic dynamic facility layout problems with stochastic demand using either a Genetic Algorithm or modified Backtracking Search Algorithm," International Journal of Production Economics, Elsevier, vol. 190(C), pages 146-157.
    14. Pan, Haihong & Lü, Zhiqiang & Lin, Weilong & Li, Junzi & Chen, Lin, 2017. "State of charge estimation of lithium-ion batteries using a grey extended Kalman filter and a novel open-circuit voltage model," Energy, Elsevier, vol. 138(C), pages 764-775.
    15. Jiang, Cong & Wang, Shunli & Wu, Bin & Fernandez, Carlos & Xiong, Xin & Coffie-Ken, James, 2021. "A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter," Energy, Elsevier, vol. 219(C).
    16. Liu, Guoan & Xu, Cheng & Li, Haomiao & Jiang, Kai & Wang, Kangli, 2019. "State of charge and online model parameters co-estimation for liquid metal batteries," Applied Energy, Elsevier, vol. 250(C), pages 677-684.
    17. Xu, Shuhui & Wang, Yong & Wang, Zhi, 2019. "Parameter estimation of proton exchange membrane fuel cells using eagle strategy based on JAYA algorithm and Nelder-Mead simplex method," Energy, Elsevier, vol. 173(C), pages 457-467.
    18. da Silva, Samuel Filgueira & Eckert, Jony Javorski & Corrêa, Fernanda Cristina & Silva, Fabrício Leonardo & Silva, Ludmila C.A. & Dedini, Franco Giuseppe, 2022. "Dual HESS electric vehicle powertrain design and fuzzy control based on multi-objective optimization to increase driving range and battery life cycle," Applied Energy, Elsevier, vol. 324(C).
    19. Meng, Jinhao & Cai, Lei & Stroe, Daniel-Ioan & Luo, Guangzhao & Sui, Xin & Teodorescu, Remus, 2019. "Lithium-ion battery state-of-health estimation in electric vehicle using optimized partial charging voltage profiles," Energy, Elsevier, vol. 185(C), pages 1054-1062.
    20. Yongcun Fan & Haotian Shi & Shunli Wang & Carlos Fernandez & Wen Cao & Junhan Huang, 2021. "A Novel Adaptive Function—Dual Kalman Filtering Strategy for Online Battery Model Parameters and State of Charge Co-Estimation," Energies, MDPI, vol. 14(8), pages 1-18, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1776-:d:230008. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.