AUTHOR=Razmjooy Navid 

TITLE=A survey on parameters estimation of the proton exchange membrane fuel cells based on the swarm-inspired optimization algorithms

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 11 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2023.1148323

DOI=10.3389/fenrg.2023.1148323

ISSN=2296-598X

ABSTRACT=The main purpose of this study is to review various swarm-inspired optimization algorithms to discuss the significance of some established works in this area. Accurate parameter estimation is required to guarantee proper modeling of PEMFCs. However, because PEMFC models are complex, nonlinear, and multivariate in nature, parameter estimation is quite difficult. In order to estimate the linear and nonlinear parameters of a PEMFC model in real time, this work investigates PEMFC models parameters estimation methods with a focus on online identification algorithms, which are thought of as the foundation of designing a global energy management strategy. Various PEMFC models with various classifications and objectives are initially addressed in this regard. The parameters of two well-known semi-empirical models in the literature, including 500 W BCS PEMFC and the 6 kW NedSstack PS6 PEMFC have then been identified using some potential swarm-inspired  optimization algorithms for practical applications. Finally, the obtained accomplishments and upcoming difficulties are highlighted.