Reducing hydrogen consumption in hybrid electric vehicles using aquila optimization algorithm

BACKGROUND AND OBJECTIVES: Fuel cell hybrid electric vehicles have earned significant interest owing to their superior performance and ecological advantages. Implementing an energy management strategy to enhance the performance of fuel cell electric vehicles by optimizing the allocation of power among different energy sources is a crucial engineering problem. This approach considers issues such as hydrogen consumption and efficiency. The objectives of this study were: 1) Developing a state-of-the-art energy management system for fuel cell hybrid electric vehicles to maximize electrical efficiency, reduce fuel consumption, and achieve optimal power distribution. 2) Applying the Aquila Optimizer to the proposed system to enhance the external energy maximization strategy.METHODS: Metaheuristic optimization algorithms play a vital role in obtaining the best set of fuel cell electric vehicles’ parameters. The aquila optimization algorithm is one of the most recent and efficient algorithms. It was used in the proposed energy management strategy to optimize the approach of maximizing external energy, resulting in reduced hydrogen use and improved system efficiency. Applying the federal test procedure to simulate the conditions of city driving, the proposed energy management strategy performance was assessed and contrasted with that of eight competent algorithms through a comparative simulation.FINDINGS: The simulation findings illustrated that the suggested energy management strategy surpasses other currently available solutions resulting from competitive optimizers by reducing the consumption of fuel, with a considerable decrease of 52.26 percent. In addition, the suggested energy management technique exhibited a 3.08 percent enhancement in system efficiency.CONCLUSION: The proposed strategy showed outstanding results over the other methods. Furthermore, the enhancement in the energy management strategy has the potential to reduce the dependency on traditional fossil fuels and mitigate the adverse environmental consequences produced by the vehicle’s emissions. Accordingly, transitioning to a sustainable transportation system using renewable hydrogen production will significantly reduce the harmful impacts and support a cleaner and greener environment.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.22034/gjesm.2025.02.18
Primary Topic
Aquaculture disease management and microbiota
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reducing hydrogen consumption in hybrid electric vehicles using aquila optimization algorithm

SHILAP Revista de lepidopterología
Aquaculture disease management and microbiota
article

Reducing hydrogen consumption in hybrid electric vehicles using aquila optimization algorithm

article en

Abstract

BACKGROUND AND OBJECTIVES: Fuel cell hybrid electric vehicles have earned significant interest owing to their superior performance and ecological advantages. Implementing an energy management strategy to enhance the performance of fuel cell electric vehicles by optimizing the allocation of power among different energy sources is a crucial engineering problem. This approach considers issues such as hydrogen consumption and efficiency. The objectives of this study were: 1) Developing a state-of-the-art energy management system for fuel cell hybrid electric vehicles to maximize electrical efficiency, reduce fuel consumption, and achieve optimal power distribution. 2) Applying the Aquila Optimizer to the proposed system to enhance the external energy maximization strategy.METHODS: Metaheuristic optimization algorithms play a vital role in obtaining the best set of fuel cell electric vehicles’ parameters. The aquila optimization algorithm is one of the most recent and efficient algorithms. It was used in the proposed energy management strategy to optimize the approach of maximizing external energy, resulting in reduced hydrogen use and improved system efficiency. Applying the federal test procedure to simulate the conditions of city driving, the proposed energy management strategy performance was assessed and contrasted with that of eight competent algorithms through a comparative simulation.FINDINGS: The simulation findings illustrated that the suggested energy management strategy surpasses other currently available solutions resulting from competitive optimizers by reducing the consumption of fuel, with a considerable decrease of 52.26 percent. In addition, the suggested energy management technique exhibited a 3.08 percent enhancement in system efficiency.CONCLUSION: The proposed strategy showed outstanding results over the other methods. Furthermore, the enhancement in the energy management strategy has the potential to reduce the dependency on traditional fossil fuels and mitigate the adverse environmental consequences produced by the vehicle’s emissions. Accordingly, transitioning to a sustainable transportation system using renewable hydrogen production will significantly reduce the harmful impacts and support a cleaner and greener environment.

SHILAP Revista de lepidopterología
Prince Sattam Bin Abdulaziz University (SA), University of Guelma (DZ), Minia University (EG)
Openalex Percentile: Top 51%
Aquaculture disease management and microbiota
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.