Abstract

Testing is a necessary step in the manufacturing process of Solid Oxide Fuel Cells (SOFC) to assess the performance of the produced cells before on-field deployment. In this work, the implementation of Electrochemical Impedance Spectroscopy (EIS) and subsequent data elaboration via Equivalent Circuit Modelling (ECM) is evaluated as a viable experimental framework for characterization and Quality Control (QC) of cells or cell batches, complemented to standard polarization-based methods. By performing a statistical analysis of the ECM parameters (representative of each physico-chemical process) the cell and batch operational parameters can be determined and compared. The validity of the proposed methodology is assessed using a wide experimental dataset of a significant number of SOFC samples (20 cells from 3 batches – two of which identical and the third with an intentional modification in the manufacturing process in order to validate the proposed methodology) tested in identical conditions. Results show that the impedance-based method provide detailed information in terms of impedance breakdown (anode gas diffusion process resulting the main criticality), as well as confirming the preliminary results obtained from the polarization approach (Batch#2 showing the lowest total performance and highest uniformity). Highly reproducible intra-batch distributions of the ECM parameters encourage the applicability of such methodology for QC purposes, even with few data collected only in Open Circuit Voltage (OCV) conditions. A relevant deviation of charge transfer and diffusion resistances in Batch#3 respect to other batches is observed (not visible from the polarization curves), which is reconducted to the modified anode functional layer, opening potential applications of the proposed methodology to assess the impact of targeted modifications of manufacturing methods on specific cell electrochemical performances.

Highlights

  • Testing is a necessary step in the manufacturing process of Solid Oxide Fuel Cells (SOFC) to assess the performance of produced cells before on-field deployment [1]

  • Reproducible intra-batch distributions of the Equivalent Circuit Modeling (ECM) parameters encourage the applicability of such methodology for Quality Control (QC) purposes, even with few data collected only in Open Circuit Voltage (OCV) conditions

  • An impedance-based experimental framework has been analysed for the characterization of SOFC cells and batches as an improvement of standard polarization-based methods

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Summary

Introduction

Testing is a necessary step in the manufacturing process of Solid Oxide Fuel Cells (SOFC) to assess the performance of produced cells before on-field deployment [1]. Production batches are typically characterized by randomly extracting sample cells from the batch which are tested in terms of output performances at a macro-scale (output power and fuel consumption) in long-term stationary operating conditions and compared with the design parameters. Such characterization method requires long testing periods to obtain meaningful results (especially for high temperature cells which present a high thermal inertia and require long start-up and stabilization times [2]), representing a challenge for Quality Control (QC) when scaling-up production capacity. The quantitative parameters obtained from each characterization technique are analysed statistically to analyse the intra-batch parameter homogeneity – to confirm the applicability of the proposed methodology – and subsequently implemented to spot recurrent parameter deviations between batches

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