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

Antonio Guarino, Giovanni Petrone and Walter Zamboni
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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

Energies, 2019, vol. 12, issue 17, 1-18

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.

Keywords: fuel cell systems; parameter identification; equivalent circuit model; Dual Kalman Filter; diagnostic (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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