Proton exchange membrane fuel cells (PEMFCs) have become the center of attention for
energy conversion in many areas such as automotive industry, where they confront a high …

Uncertainty about the energy use efficiency, lack of knowledge about economic outcomes,
and its environmental consequences have always take risks in changing cultivation patterns …

An accurate model of proton exchange membrane fuel cell (PEMFC) is essential for its
characterization, performance analysis, and design of optimal control strategies. However …

In this paper, we derive a data-driven dynamic model of a dead-end cascade-type proton
exchange membrane (PEM) fuel cell. We employ an Artificial neural network (ANN) method …

Aiming to develop a generalized machine learning (ML) model for evaluating the
performance of photoelectrode in PEC system by predicting the photocurrent density (J), we …

In this work a method for choosing the optimal reformer temperature for a reformed methanol
fuel cell system is presented based on a case study of a H3 350 module produced by …

In this work, comprehensive mathematical models for polymer electrolyte fuel cells (PEFCs)
with three different controllers (PID, FOPID and fuzzy+ PID) are developed. The models are …

Due to complex configuration of high power integrated PEMFC systems, the associated
systematic condition assessment is still a promising challenge. In this paper, an online …

This paper proposes the online parameters identification of semi-empirical models of Proton
Exchange Membrane Fuel Cell (PEMFC). The covariance of unknown measurement noise …

Comprehensive mathematical models with three distinct controllers (PID, FOPID, and fuzzy+
PID) for polymer electrolyte fuel cells (PEFCs) are constructed in this work. The models are …