A comprehensive review of power converter topologies and control methods for electric vehicle fast charging applications

M Safayatullah, MT Elrais, S Ghosh, R Rezaii… - IEEE …, 2022 - ieeexplore.ieee.org
Wide-scale adoption and projected growth of electric vehicles (EVs) necessitate research
and development of power electronic converters to achieve high power, low-cost, and …

A comprehensive review on structural topologies, power levels, energy storage systems, and standards for electric vehicle charging stations and their impacts on grid

MR Khalid, IA Khan, S Hameed, MSJ Asghar… - IEEE …, 2021 - ieeexplore.ieee.org
The penetration of electric vehicles (EVs) in the transportation sector is increasing but
conventional internal combustion engine (ICE) based vehicles dominates. To accelerate the …

A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior

E Yaghoubi, E Yaghoubi, A Khamees, D Razmi… - … Applications of Artificial …, 2024 - Elsevier
Abstract Machine learning (ML) and deep learning (DL) have enabled algorithms to
autonomously acquire knowledge from data, facilitating predictive and decision-making …

Solar Energy-Powered Battery Electric Vehicle charging stations: Current development and future prospect review

KY Yap, HH Chin, JJ Klemeš - Renewable and Sustainable Energy …, 2022 - Elsevier
Solar energy offers the potential to support the battery electric vehicles (BEV) charging
station, which promotes sustainability and low carbon emission. In view of the emerging …

Low-carbon technologies in automotive industry and decarbonizing transport

K Shahzad, II Cheema - Journal of Power Sources, 2024 - Elsevier
This paper reviews the challenges faced by the global automotive industry as it transitions
towards decarbonization. The article presents a comprehensive survey of hybrid, battery …

Comprehensive review of electric vehicle technology and its impacts: Detailed investigation of charging infrastructure, power management, and control techniques

M Kumar, KP Panda, RT Naayagi, R Thakur, G Panda - Applied Sciences, 2023 - mdpi.com
Electric vehicles (EVs) are universally recognized as an incredibly effective method of
lowering gas emissions and dependence on oil for transportation. Electricity, rather than …

Electric vehicle charging management based on deep reinforcement learning

S Li, W Hu, D Cao, T Dragičević… - Journal of Modern …, 2021 - ieeexplore.ieee.org
A time-variable time-of-use electricity price can be used to reduce the charging costs for
electric vehicle (EV) owners. Considering the uncertainty of price fluctuation and the …

A dynamic optimal scheduling strategy for multi-charging scenarios of plug-in-electric vehicles over a smart grid

I Ahmed, M Rehan, A Basit, M Tufail, KS Hong - IEEE Access, 2023 - ieeexplore.ieee.org
Green transportation has become our top priority due to the depletion of the earth's natural
resources and rising pollutant emission levels. Plug-in electric vehicles (PEVs) are seen as …

Electric vehicles: V2G for rapid, safe, and green EV penetration

A Dik, S Omer, R Boukhanouf - Energies, 2022 - mdpi.com
Low carbon and renewable energy sources (RESs) are fast becoming a key sustainable
instrument in meeting the global growth of electricity demand while curbing carbon …

Charging infrastructure planning for transportation electrification in India: A review

P Barman, L Dutta - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
Global warming and depletion of fossil fuel are the major drivers that initiated the transition
from conventional internal combustion engines to electric transportation. India has already …