Bald Eagle Search (BES) is a recent and highly successful swarm-based metaheuristic
algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its …

Since installing solid oxide fuel cells (SOFCs)-based systems suffers from high expenses,
accurate and reliable modeling is heavily demanded to detect any design issue prior to the …

In this work, the new application of cooperation search algorithm (CSA) is addressed to
extract the unknown solid oxide fuel cell (SOFC)'s parameters supported by investigating …

A key area of research in a promising renewable energy technology called Proton Exchange
Membrane Fuel Cells (PEMFCs) focuses on identifying parameters not provided by …

The parameter extraction of the proton exchange membrane fuel cells (PEMFCs) is an active
study area over the past few years to achieve accurate current/voltage (I/V) curves. This work …

In this study, the Bald Eagle Search Algorithm performed hydrogen consumption and battery
cycle optimization of a fuel cell electric vehicle. To save time and cost, the digital vehicle …

The red-billed blue magpie optimizer (RBMO) is employed in this research study to address
parameter extraction in polymer exchange membrane fuel cells (PEMFCs), along with three …

As a new attempt to design a precise mathematical model for the proton exchange
membrane fuel cell (PEMFC), in this paper, three recently-proposed well-established …

Proton exchange membrane fuel cell (PEMFC) parameter extraction is an important issue in
modeling and control of renewable energies. The PEMFC problem's main objective is to …

The current study uses the Chernobyl disaster optimizer (CDO), a new metaheuristic
optimizer, to identify the seven unknown parameters of solid oxide fuel cells (SOFCs). The …