With the rapid advancement of technology in the energy sector and the demand for
sustainable energy practices, the world is aiming at fostering the hydrogen economy and …

Fuel cells are powerful systems for power generation. They have a good efficiency and do
not generate greenhouse gases. This technology involves a lot of scientific fields, which …

In this paper, a novel hybrid Neural Network Algorithm-Differential Evolution (NNA-DE)
optimizer which integrates both NNA and DE is proposed. The proposed hybrid NNA-DE …

Effective control strategies of air supply system are the key to guaranteeing reliability and
efficiency of the operation of the proton exchange membrane fuel cell (PEMFC) system. The …

The progressive increase in hydrogen technologies' role in transport, mobility, electrical
microgrids, and even in residential applications, as well as in other sectors is expected …

This paper presents an artificial neural network (ANN) approach of a smart grid integrated
proton exchange membrane (PEM) fuel cell and proposes a neural network model of a 6 kW …

In this paper, a Fault Tolerant Control Strategy (FTCS) dedicated to PEMFC (Polymer
Electrolyte Membrane Fuel Cell) water management is implemented and validated online on …

The air feeding system is one of the most important systems in the proton exchange
membrane fuel cell (PEMFC) stack, which has a great impact on the stack performance. The …

The accurate control of automotive fuel cell oxygen excess ratio (OER) is necessary to
improve system efficiency and service life. To this end, an anti-disturbance control driven by …

This paper proposes a new cascaded adaptive integral type‐terminal sliding mode control
based on time delay estimation algorithm (cascaded‐AITSMC‐TDE) for the proton exchange …