IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i17p3377-d263140.html
   My bibliography  Save this article

Improving the Performance of a Dual Kalman Filter for the Identification of PEM Fuel Cells in Impedance Spectroscopy Experiments

Author

Listed:
  • Antonio Guarino

    (DIEM—Università degli studi di Salerno, Via Giovanni Paolo II 132, 84084 Fisciano (SA), Italy)

  • Giovanni Petrone

    (DIEM—Università degli studi di Salerno, Via Giovanni Paolo II 132, 84084 Fisciano (SA), Italy)

  • Walter Zamboni

    (DIEM—Università degli studi di Salerno, Via Giovanni Paolo II 132, 84084 Fisciano (SA), Italy)

Abstract

In this paper, the Dual Kalman Filter (DKF) is used for the parametric identification of an RC model of a Polymer Electrolyte Membrane Fuel Cell (FC) stack. The identification is performed for diagnostic purposes, starting from time-domain voltage and current signals in the framework of Electrochemical Impedance Spectroscopy (EIS) tests. Here, the sinusoidal input of the tests makes the identification of DKF parameters challenging. The paper analyzes the filter performance and proposes a possible approach to address the filter tuning to let it work with FC operating either in normal conditions or in the presence of drying and flooding fault conditions, or in fuel starvation mode. The analysis is mainly performed in a simulated environment, where the Fouquet model is used to simulate the FC. Some criteria to tune the filter are derived from the analysis and used also with experimental data produced by some EIS tests, to achieve the best estimate in constrained conditions. The results show that the DKF can be turned into a valuable tool to identify the model parameters even with signals developed for other scopes. The identification results envisage the possibility of assisting the model-based FC diagnosis by means of a very simple tool that can run on a low-cost embedded device. Indeed, the simplicity of the filter approach and a lightweight implementation allow the deployment of the algorithm in embedded solutions.

Suggested Citation

  • Antonio Guarino & Giovanni Petrone & Walter Zamboni, 2019. "Improving the Performance of a Dual Kalman Filter for the Identification of PEM Fuel Cells in Impedance Spectroscopy Experiments," Energies, MDPI, vol. 12(17), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:17:p:3377-:d:263140
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/17/3377/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/17/3377/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Facci, Andrea L. & Ubertini, Stefano, 2018. "Analysis of a fuel cell combined heat and power plant under realistic smart management scenarios," Applied Energy, Elsevier, vol. 216(C), pages 60-72.
    2. Gong, Wenyin & Yan, Xuesong & Liu, Xiaobo & Cai, Zhihua, 2015. "Parameter extraction of different fuel cell models with transferred adaptive differential evolution," Energy, Elsevier, vol. 86(C), pages 139-151.
    3. Sutharssan, Thamo & Montalvao, Diogo & Chen, Yong Kang & Wang, Wen-Chung & Pisac, Claudia & Elemara, Hakim, 2017. "A review on prognostics and health monitoring of proton exchange membrane fuel cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 440-450.
    4. Samuel Simon Araya & Fan Zhou & Simon Lennart Sahlin & Sobi Thomas & Christian Jeppesen & Søren Knudsen Kær, 2019. "Fault Characterization of a Proton Exchange Membrane Fuel Cell Stack," Energies, MDPI, vol. 12(1), pages 1-17, January.
    5. Zhang, Tong & Wang, Peiqi & Chen, Huicui & Pei, Pucheng, 2018. "A review of automotive proton exchange membrane fuel cell degradation under start-stop operating condition," Applied Energy, Elsevier, vol. 223(C), pages 249-262.
    6. Wang, Yun & Chen, Ken S. & Mishler, Jeffrey & Cho, Sung Chan & Adroher, Xavier Cordobes, 2011. "A review of polymer electrolyte membrane fuel cells: Technology, applications, and needs on fundamental research," Applied Energy, Elsevier, vol. 88(4), pages 981-1007, April.
    7. Mengbo Ji & Zidong Wei, 2009. "A Review of Water Management in Polymer Electrolyte Membrane Fuel Cells," Energies, MDPI, vol. 2(4), pages 1-50, November.
    8. Wang, Hanqing & Gaillard, Arnaud & Hissel, Daniel, 2019. "A review of DC/DC converter-based electrochemical impedance spectroscopy for fuel cell electric vehicles," Renewable Energy, Elsevier, vol. 141(C), pages 124-138.
    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. Walter Zamboni & Giovanni Petrone & Giovanni Spagnuolo & Davide Beretta, 2019. "An Evolutionary Computation Approach for the Online/On-Board Identification of PEM Fuel Cell Impedance Parameters with A Diagnostic Perspective," Energies, MDPI, vol. 12(22), pages 1-19, November.

    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. Walter Zamboni & Giovanni Petrone & Giovanni Spagnuolo & Davide Beretta, 2019. "An Evolutionary Computation Approach for the Online/On-Board Identification of PEM Fuel Cell Impedance Parameters with A Diagnostic Perspective," Energies, MDPI, vol. 12(22), pages 1-19, November.
    2. Petrone, Giovanni & Zamboni, Walter & Spagnuolo, Giovanni, 2019. "An interval arithmetic-based method for parametric identification of a fuel cell equivalent circuit model," Applied Energy, Elsevier, vol. 242(C), pages 1226-1236.
    3. Chen, Kui & Laghrouche, Salah & Djerdir, Abdesslem, 2019. "Degradation model of proton exchange membrane fuel cell based on a novel hybrid method," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    4. Samuel Simon Araya & Fan Zhou & Simon Lennart Sahlin & Sobi Thomas & Christian Jeppesen & Søren Knudsen Kær, 2019. "Fault Characterization of a Proton Exchange Membrane Fuel Cell Stack," Energies, MDPI, vol. 12(1), pages 1-17, January.
    5. Wang, Junye, 2015. "Theory and practice of flow field designs for fuel cell scaling-up: A critical review," Applied Energy, Elsevier, vol. 157(C), pages 640-663.
    6. Pei, Pucheng & Jia, Xiaoning & Xu, Huachi & Li, Pengcheng & Wu, Ziyao & Li, Yuehua & Ren, Peng & Chen, Dongfang & Huang, Shangwei, 2018. "The recovery mechanism of proton exchange membrane fuel cell in micro-current operation," Applied Energy, Elsevier, vol. 226(C), pages 1-9.
    7. Liu, Ze & Zhang, Baitao & Xu, Sichuan, 2022. "Research on air mass flow-pressure combined control and dynamic performance of fuel cell system for vehicles application," Applied Energy, Elsevier, vol. 309(C).
    8. Pei, Pucheng & Chen, Huicui, 2014. "Main factors affecting the lifetime of Proton Exchange Membrane fuel cells in vehicle applications: A review," Applied Energy, Elsevier, vol. 125(C), pages 60-75.
    9. Wong, A.K.C. & Ge, N. & Shrestha, P. & Liu, H. & Fahy, K. & Bazylak, A., 2019. "Polytetrafluoroethylene content in standalone microporous layers: Tradeoff between membrane hydration and mass transport losses in polymer electrolyte membrane fuel cells," Applied Energy, Elsevier, vol. 240(C), pages 549-560.
    10. Chen, Hong & Zhan, Zhigang & Jiang, Panxing & Sun, Yahao & Liao, Liwen & Wan, Xiongbiao & Du, Qing & Chen, Xiaosong & Song, Hao & Zhu, Ruijie & Shu, Zhanhong & Li, Shang & Pan, Mu, 2022. "Whole life cycle performance degradation test and RUL prediction research of fuel cell MEA," Applied Energy, Elsevier, vol. 310(C).
    11. Noor H. Jawad & Ali Amer Yahya & Ali R. Al-Shathr & Hussein G. Salih & Khalid T. Rashid & Saad Al-Saadi & Adnan A. AbdulRazak & Issam K. Salih & Adel Zrelli & Qusay F. Alsalhy, 2022. "Fuel Cell Types, Properties of Membrane, and Operating Conditions: A Review," Sustainability, MDPI, vol. 14(21), pages 1-48, November.
    12. Nguyen, Xuan Linh & Vu, Hoang Nghia & Yu, Sangseok, 2021. "Parametric understanding of vapor transport of hollow fiber membranes for design of a membrane humidifier," Renewable Energy, Elsevier, vol. 177(C), pages 1293-1307.
    13. Behzad Najafi & Paolo Bonomi & Andrea Casalegno & Fabio Rinaldi & Andrea Baricci, 2020. "Rapid Fault Diagnosis of PEM Fuel Cells through Optimal Electrochemical Impedance Spectroscopy Tests," Energies, MDPI, vol. 13(14), pages 1-19, July.
    14. Zhang, Caizhi & Zhang, Yuqi & Wang, Lei & Deng, Xiaozhi & Liu, Yang & Zhang, Jiujun, 2023. "A health management review of proton exchange membrane fuel cell for electric vehicles: Failure mechanisms, diagnosis techniques and mitigation measures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    15. Pei, Pucheng & Chen, Dongfang & Wu, Ziyao & Ren, Peng, 2019. "Nonlinear methods for evaluating and online predicting the lifetime of fuel cells," Applied Energy, Elsevier, vol. 254(C).
    16. Qaisar Abbas & Mojtaba Mirzaeian & Michael R.C. Hunt & Peter Hall & Rizwan Raza, 2020. "Current State and Future Prospects for Electrochemical Energy Storage and Conversion Systems," Energies, MDPI, vol. 13(21), pages 1-41, November.
    17. Wang, Junye, 2015. "Barriers of scaling-up fuel cells: Cost, durability and reliability," Energy, Elsevier, vol. 80(C), pages 509-521.
    18. Saverio Latorrata & Paola Gallo Stampino & Cinzia Cristiani & Giovanni Dotelli, 2017. "Performance Evaluation and Durability Enhancement of FEP-Based Gas Diffusion Media for PEM Fuel Cells," Energies, MDPI, vol. 10(12), pages 1-17, December.
    19. Chen, Kui & Laghrouche, Salah & Djerdir, Abdesslem, 2021. "Prognosis of fuel cell degradation under different applications using wavelet analysis and nonlinear autoregressive exogenous neural network," Renewable Energy, Elsevier, vol. 179(C), pages 802-814.
    20. Zhang, Xiaojie & Zhang, Tong & Chen, Huicui & Cao, Yinliang, 2021. "A review of online electrochemical diagnostic methods of on-board proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 286(C).

    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:17:p:3377-:d:263140. 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.