Parameter estimation of ECM model for Li-Ion battery using the weighted mean of vectors algorithm

W Merrouche, B Lekouaghet, E Bouguenna… - Journal of Energy …, 2024 - Elsevier
Accurate parameter estimation of the equivalent circuit model (ECM) for Li-Ion batteries
(LiBs) allows for better behavior modeling and understanding. This is crucial for various …

A modified particle swarm optimization rat search algorithm and its engineering application

MK Singla, J Gupta, MH Alsharif, MK Kim - Plos one, 2024 - journals.plos.org
Solar energy generation requires photovoltaic (PV) systems to be optimised, regulated, and
simulated with efficiency. The performance of PV systems is greatly impacted by the …

Parameter estimation of fuel cells using a hybrid optimization algorithm

MK Singla, J Gupta, B Singh, P Nijhawan… - Sustainability, 2023 - mdpi.com
Because of the current increase in energy requirement, reduction in fossil fuels, and global
warming, as well as pollution, a suitable and promising alternative to the non-renewable …

Enhancing renewable energy utilization and energy management strategies for new energy yachts

Z Wang, M Li, N Cao, P Liao, Y Ji, F Han - Heliyon, 2024 - cell.com
Hydrogen energy, due to its clean and efficient nature, has shown great potential during the
current transition period in the shipbuilding industry. However, the application of hydrogen …

Hydrogen storage in activated carbon for fuel cell-powered vehicles: A cost-effective and sustainable approach

MK Singla, J Gupta, M Safaraliev, P Nijhawan… - International Journal of …, 2024 - Elsevier
All the major economies across the globe have been working towards achieving a
commercial viability of fuel cell-powered (FCV) and hybrid electric vehicles (HEV) amid …

A robust multi-objective optimization algorithm for accurate parameter estimation for solar cell models

MK Singla, J Gupta, MH Alsharif, MK Kim, M Aljaidi… - Soft Computing, 2024 - Springer
The accuracy of solar cell models is crucial for enhancing the performance of solar
photovoltaic (PV) systems. However, existing solar cell models lack precise parameters, and …

Functional safety-oriented hazard analysis and risk assessment for vehicular fuel cell systems

K Song, R Jia, P Huang, X Huang, B Zhang, F Li - Heliyon, 2025 - cell.com
Functional safety is an emerging trend for safety design in the automobile industry. This
study is an innovative exploration of a hazard analysis and quantitative risk assessment …

Parametric optimization of proton exchange membrane fuel cell using chaotic swarm intelligence technique

V Kaura, B Narang, P Singh… - Chemical Engineering & …, 2024 - Wiley Online Library
The proton exchange membrane fuel cell (PEMFC) converts chemical energy into electricity
without pollution or noise. PEMFC has a stable electrolyte, reliable, fast start‐up, and …

Modified particle swarm optimisation to determine the kinetic parameters of 2-chlorophenol oxidation in supercritical water

V Kaura, B Narang, P Singh… - Indian Chemical Engineer, 2025 - Taylor & Francis
An analytical chemical kinetics model can investigate the impact of concentrations,
pressures, temperatures, and catalysts on the rates of reactions. It serves as the foundation …

Solar cell parameter extraction: A synergistic fusion of mathematical modeling and optimization algorithms

J Gupta, NC Giri, MK Singla, A Gupta… - AIP Conference …, 2024 - pubs.aip.org
Ensuring precise representation of solar cells is pivotal for optimizing solar photovoltaic (PV)
system performance. Presently, existing solar cell models lack accuracy due to unattainable …