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Parameter estimation of ECM model for Li-Ion battery using the weighted mean of vectors algorithm
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 …
(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
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 …
simulated with efficiency. The performance of PV systems is greatly impacted by the …
Parameter estimation of fuel cells using a hybrid optimization algorithm
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
system performance. Presently, existing solar cell models lack accuracy due to unattainable …