Improving accuracy in state of health estimation for lithium batteries using gradient-based optimization: Case study in electric vehicle applications
M El Marghichi, S Dangoury, Y Zahrou, A Loulijat… - Plos one, 2023 - journals.plos.org
Significant improvements in battery performance, cost reduction, and energy density have
been made since the advancements of lithium-ion batteries. These advancements have …
been made since the advancements of lithium-ion batteries. These advancements have …
Bald eagle search algorithm: a comprehensive review with its variants and applications
MA El-Shorbagy, A Bouaouda, HA Nabwey… - Systems Science & …, 2024 - Taylor & Francis
Bald Eagle Search (BES) is a recent and highly successful swarm-based metaheuristic
algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its …
algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its …
Electrical parameters identification for three diode photovoltaic based on the manta ray foraging optimization with dynamic fitness distance balance
M El Marghichi, S Dangoury - Optik, 2024 - Elsevier
This study focuses on the critical task of accurately simulating and operating solar cells and
photovoltaic modules by acquiring essential model parameters through experimental data …
photovoltaic modules by acquiring essential model parameters through experimental data …
[HTML][HTML] Optimal parameter identification strategy applied to lithium-ion battery model for electric vehicles using drive cycle data
The optimal parameter identification of lithium-ion (Li-ion) battery models is essential for
accurately capturing battery behavior and performance in electric vehicle (EV) applications …
accurately capturing battery behavior and performance in electric vehicle (EV) applications …
[HTML][HTML] CO2 emission reduction by geothermal-driven CCHP tailored with turbine bleeding and regeneration CHP; economic/multi-aspect comparative analysis with …
A Basem, HH Taher, HS Majdi, AS Al-Shati… - Results in …, 2024 - Elsevier
The current research compares a geothermal-driven combined cooling, heating, and power
generation cycle (B–CCHP) and a modified version using turbine bleeding and regeneration …
generation cycle (B–CCHP) and a modified version using turbine bleeding and regeneration …
[HTML][HTML] Optimal sizing of grid connected multi-microgrid system using grey wolf optimization
DB Aeggegn, GN Nyakoe, C Wekesa - Results in Engineering, 2024 - Elsevier
Renewable distributed energy resources (DERs) offer a promising and environmentally
sustainable solution for providing energy. Nowadays, there has been significant attention in …
sustainable solution for providing energy. Nowadays, there has been significant attention in …
Modified Bald Eagle Search Algorithm With Deep Learning-Driven Sleep Quality Prediction for Healthcare Monitoring Systems
Sleep habits are strongly related to health behaviors, with sleep quality serving as a major
health indicator. Current approaches for evaluating sleep quality, namely polysomnography …
health indicator. Current approaches for evaluating sleep quality, namely polysomnography …
[HTML][HTML] Fuel Cell Electric Vehicle Hydrogen Consumption and Battery Cycle Optimization Using Bald Eagle Search Algorithm
In this study, the Bald Eagle Search Algorithm performed hydrogen consumption and battery
cycle optimization of a fuel cell electric vehicle. To save time and cost, the digital vehicle …
cycle optimization of a fuel cell electric vehicle. To save time and cost, the digital vehicle …
[PDF][PDF] Results in Engineering
DB Aeggegn, GN Nyakoe, C Wekesa - researchgate.net
Renewable distributed energy resources (DERs) offer a promising and environmentally
sustainable solution for providing energy. Nowadays, there has been significant attention in …
sustainable solution for providing energy. Nowadays, there has been significant attention in …