[HTML][HTML] A novel technological review on fast charging infrastructure for electrical vehicles: Challenges, solutions, and future research directions
Nowadays, the use of electric vehicles (EVs) is increasing as the charging infrastructure for
these EVs is necessary. The highly rapid loading technology can charge cars and looks like …
these EVs is necessary. The highly rapid loading technology can charge cars and looks like …
Innovative feature selection method based on hybrid sine cosine and dipper throated optimization algorithms
Introduction: In pattern recognition and data mining, feature selection is one of the most
crucial tasks. To increase the efficacy of classification algorithms, it is necessary to identify …
crucial tasks. To increase the efficacy of classification algorithms, it is necessary to identify …
[HTML][HTML] Electric vehicle charging technologies, infrastructure expansion, grid integration strategies, and their role in promoting sustainable e-mobility
The transport sector is experiencing a notable transition towards sustainability, propelled by
technological progress, innovative materials, and a dedication to environmental …
technological progress, innovative materials, and a dedication to environmental …
Fuzzy-based efficient control of DC microgrid configuration for PV-energized EV charging station
DS Abraham, B Chandrasekar, N Rajamanickam… - Energies, 2023 - mdpi.com
Electric vehicles (EVs) are considered as the leading-edge form of mobility. However, the
integration of electric vehicles with charging stations is a contentious issue. Managing the …
integration of electric vehicles with charging stations is a contentious issue. Managing the …
Optimization and intelligent power management control for an autonomous hybrid wind turbine photovoltaic diesel generator with batteries
In this paper, a critical issue related to power management control in autonomous hybrid
systems is presented. Specifically, challenges in optimizing the performance of energy …
systems is presented. Specifically, challenges in optimizing the performance of energy …
Lyapunov-based neural network model predictive control using metaheuristic optimization approach
This research introduces a new technique to control constrained nonlinear systems, named
Lyapunov-based neural network model predictive control using a metaheuristic optimization …
Lyapunov-based neural network model predictive control using a metaheuristic optimization …
[HTML][HTML] A novel framework for enhancing the power quality of electrical vehicle battery charging based on a modified Ferdowsi Converter
Abstract A DC–DC converter in an EV charging station is to regulate the DC voltage from the
rectifier to the required voltage for battery charging. This ensures that a constant, stable, and …
rectifier to the required voltage for battery charging. This ensures that a constant, stable, and …
Energy Management Systems for Electric Vehicles: A Comprehensive Review of Technologies and Trends
As the demand for electric vehicles (EVs) continues to surge, improvements to energy
management systems (EMS) prove essential for improving their efficiency, performance, and …
management systems (EMS) prove essential for improving their efficiency, performance, and …
Sustainable power management in light electric vehicles with hybrid energy storage and machine learning control
This paper presents a cutting-edge Sustainable Power Management System for Light
Electric Vehicles (LEVs) using a Hybrid Energy Storage Solution (HESS) integrated with …
Electric Vehicles (LEVs) using a Hybrid Energy Storage Solution (HESS) integrated with …
A Novel Electric Vehicle Battery Management System Using an Artificial Neural Network‐Based Adaptive Droop Control Theory
The novelty of this research lies in the development of a new battery management system
(BMS) for electric vehicles, which utilizes an artificial neural network (ANN) and fuzzy logic …
(BMS) for electric vehicles, which utilizes an artificial neural network (ANN) and fuzzy logic …