As an efficient energy converter, the proton exchange membrane fuel cell (PEMFC) is
developed to couple various applications, including portable applications, transportation …

The honey badger algorithm (HBA) is a meta-heuristic optimization algorithm that simulates
the foraging behavior of honey badgers. Since the algorithm is prone to premature …

One of the primary issues in the modelling of fuel cell is the determination of specific
boundary conditions often deduced from the manufacturer of the fuel cell. Realistically, not …

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

The power generated by a proton exchange membrane fuel cell (PEMFC) is heavily
impacted by the change in membrane water content (MWC) and cell temperature. Since …

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 …

Open-cathode proton exchange membrane fuel cells are widely used in portable power and
unmanned aircraft because of their portability and simple structure. To address the mismatch …

The electrochemical model of a proton exchange membrane (PEM) electrolyzer consists of a
set of different unknown parameters, and identification of these parameters is needed …

The parameter identification of a PEMFC is the process of using optimization algorithms to
determine the ideal unknown variables suitable for the development of an accurate fuel-cell …

For proton exchange membrane fuel cells (PEMFCs), accurate physical modeling and
parameter identification play significant roles in simulation and control. To accurately and …