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Coupling electrochemical impedance spectroscopy and model-based aging estimation for solid oxide fuel cell stacks lifetime prediction

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  • Gallo, Marco
  • Polverino, Pierpaolo
  • Mougin, Julie
  • Morel, Bertrand
  • Pianese, Cesare

Abstract

In this work, an online natural aging estimation algorithm is developed, coupled with an Electrochemical Impedance Spectroscopy (EIS)-based diagnostic algorithm, to refine detection features extraction during Solid Oxide Fuel Cell (SOFC) stack operation and to predict its Remaining Useful Life (RUL). A combination of a lumped dynamic model along with features extracted from real-time EIS measurements is herein proposed for on-line applications. An Equivalent Circuit Model (ECM) is considered to identify parameters, such as ohmic and total resistance, that are coupled with an Area Specific Resistance (ASR) approach within the lumped model. The information derived from the EIS spectrum allows to estimate the voltage degradation over time along with its nominal behaviour. Indeed, the time trend of the identified parameters is proportional to the aging of the cell if no other abnormal condition occurs. This guarantees an on-line RUL estimation and a more robust diagnostic algorithm for fault detection and isolation. The approach has been applied to a 6-cells anode supported short stack tested for about 5000 h, and the related RUL estimation identified a critical issue on the middle cell, affecting its neighbours.

Suggested Citation

  • Gallo, Marco & Polverino, Pierpaolo & Mougin, Julie & Morel, Bertrand & Pianese, Cesare, 2020. "Coupling electrochemical impedance spectroscopy and model-based aging estimation for solid oxide fuel cell stacks lifetime prediction," Applied Energy, Elsevier, vol. 279(C).
    • Handle: RePEc:eee:appene:v:279:y:2020:i:c:s0306261920312113
    DOI: 10.1016/j.apenergy.2020.115718
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    References listed on IDEAS

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    1. Yan, Dong & Liang, Lingjiang & Yang, Jiajun & Zhang, Tao & Pu, Jian & Chi, Bo & Li, Jian, 2017. "Performance degradation and analysis of 10-cell anode-supported SOFC stack with external manifold structure," Energy, Elsevier, vol. 125(C), pages 663-670.
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    4. Zeyu Lin & Hamdi Ayed & Belgacem Bouallegue & Hana Tomaskova & Saeid Jafarzadeh Ghoushchi & Gholamreza Haseli, 2021. "An Integrated Mathematical Attitude Utilizing Fully Fuzzy BWM and Fuzzy WASPAS for Risk Evaluation in a SOFC," Mathematics, MDPI, vol. 9(18), pages 1-18, September.
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    10. Žnidarič, Luka & Nusev, Gjorgji & Morel, Bertrand & Mougin, Julie & Juričić, Đani & Boškoski, Pavle, 2021. "Evaluating uncertainties in electrochemical impedance spectra of solid oxide fuel cells," Applied Energy, Elsevier, vol. 298(C).

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