Proton exchange membrane fuel cells (PEMFCs) as energy conversion devices for
hydrogen energy are crucial for achieving an eco-friendly society, but their cost and …

For the sake of precise simulation, and proper controlling of the performance of the proton
exchange membrane fuel cells (PEMFCs) generating systems, robust and neat …

Abstract Whale Optimization Algorithm (WOA) is a popular swarm-based algorithm with
some spotted defects in its generated patterns during the searching phases. In this study, an …

In this paper, a new optimization algorithm called Adaptive Sparrow Search Algorithm
(ASSA) is proposed for optimal model parameters identification of the proton exchange …

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 …

Sustainable development and efficient integration of different resources are imperative for
future energy systems. To solve the uneven temporal–spatial distribution of renewables …

This paper proposes a new methodology for the optimal selection of the parameters for
proton exchange membrane fuel cell (PEMFC) models. The proposed method is to optimal …

This paper introduces a novel enhancement to the Transient Search Optimization (TSO)
algorithm to estimate an accurate electrical model of the proton exchange membrane fuel …

In this work, a novel attempt is performed to optimally identify the seven ungiven parameters
of the proton exchange membrane fuel cells (PEMFCs) steady-state model. A fitness …

The accuracy of the modeling of the fuel cell is important for achieving precise simulation
results. This article presents a newly developed optimization method “Chaotic MayFly …