This study thoroughly analyses and quantifies the operating temperature characterization of
the proton exchange membrane (PEM) fuel cell and develops an automated temperature …

Proton exchange membrane fuel cell (PEMFC) models are multivariate with different
nonlinear elements which should be identified accurately to assure dependable modeling …

In the present work, an Elman neural network (ENN) is suggested for parameter
identification of proton exchange membrane fuel cell (PEMFC), which is optimized by a …

The representative model of fuel cells (FCs) has a vital role in investigating the steady-state
and dynamic analysis of these cells. The FC model has a significant impact on simulation …

Nowadays, renewable power system solutions are widely investigated for residential
applications. Grid-connected systems including energy storage elements are designed …

This paper examines the prospect of PEM (Proton Exchange Membrane) electrolyzers and
fuel cells to partake in European electrical ancillary services markets. First, the current …

This work proposes a reduced-order sliding mode observer (SMO) based nonlinear control
to regulate a multivariable proton exchange membrane fuel cell (PEMFC) integrated system …

Transient characteristic is one of the important indicators for evaluating the dynamic
performance of fuel cells. In this paper, an air-cooled proton exchange membrane fuel cell …

This paper presents the parameter identification of an equivalent circuit-based proton-
exchange membrane fuel cell model. This model is represented by two electrical circuits, of …

Abstract The prediction of Proton Exchange Membrane Fuel Cell (PEMFC) lifetime is one of
the major challenges to optimize both material properties and dynamic control of the fuel cell …