Numerical study of the DEKF parameter identification capabilities in fuel cell EIS tests

Abstract

In this paper, a numerical study of the identification capabilities of a time-domain parameter estimator for polymeric electrolyte membrane fuel cells (FCs) under electrochemical impedance spectroscopy (EIS) test is proposed. The estimator is a discrete-time Dual Extended Kalman Filter (DEKF). The FC is stimulated with sinusoidal input, typical of EIS tests, and the DEKF identifies the parameters of a linear first-order RC model representing the FC. The impact of the time-domain discretization and of the input signal frequency on the estimation performances are discussed. The results allow to design an effective sequential estimation approach.