Electric vehicle charging stations and the employed energy management schemes: a classification based comparative survey

Increased adoption of the electric vehicle (EV) needs the proper charging infrastructure integrated with suitable energy management schemes. However, the available literature on this topic lacks in providing a comparative survey on different aspects of this field to properly guide the people interested in this area. To mitigate this gap, this research survey is an effort to provide know-how about the important aspects of the overall EV charging setup with 305 relevant references. It reviews the achievements of energy management systems in terms of improving fuel consumption efficiency and reducing carbon dioxide emissions in EV charging systems. State-of-the-art and most up-to-date standards of EV technology and charging infrastructure are presented. EV charging schemes based on standard grid and renewable energy resources are introduced with a brief comparison of the standard grid and photovoltaic-grid charging systems. Moreover, this article describes centralized and decentralized control configurations of EV charging. A comparative survey of different energy management algorithms is presented while highlighting the benefits and drawbacks of each algorithm. The work presented in this review will help frame future research needs. It is anticipated that the material gathered in this article will become a valuable source of information for the researchers working on this area of study.

Authors

Institutions

Publication Details

Journal
Discover Applied Sciences
Published
2024-09-19
DOI
https://doi.org/10.1007/s42452-024-06190-9
Citations
24
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
5.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electric vehicle charging stations and the employed energy management schemes: a classification based comparative survey

Akhtar Rasool, Abdul Rauf Bhatti, Ahmed Abdi Yusuf Ali, Rehan Liaqat et al.
24 citations
Discover Applied Sciences
Electric Vehicles and Infrastructure
5.01
article

Electric vehicle charging stations and the employed energy management schemes: a classification based comparative survey

Akhtar Rasool, Abdul Rauf Bhatti, Ahmed Abdi Yusuf Ali, Rehan Liaqat, Muhammad Tamoor, Abdulkerim Sherefa, Zainal Salam
article en
24 citations

Abstract

Increased adoption of the electric vehicle (EV) needs the proper charging infrastructure integrated with suitable energy management schemes. However, the available literature on this topic lacks in providing a comparative survey on different aspects of this field to properly guide the people interested in this area. To mitigate this gap, this research survey is an effort to provide know-how about the important aspects of the overall EV charging setup with 305 relevant references. It reviews the achievements of energy management systems in terms of improving fuel consumption efficiency and reducing carbon dioxide emissions in EV charging systems. State-of-the-art and most up-to-date standards of EV technology and charging infrastructure are presented. EV charging schemes based on standard grid and renewable energy resources are introduced with a brief comparison of the standard grid and photovoltaic-grid charging systems. Moreover, this article describes centralized and decentralized control configurations of EV charging. A comparative survey of different energy management algorithms is presented while highlighting the benefits and drawbacks of each algorithm. The work presented in this review will help frame future research needs. It is anticipated that the material gathered in this article will become a valuable source of information for the researchers working on this area of study.

Discover Applied SciencesVol. 6(10)
University of Botswana (BW), Government College University, Faisalabad (PK), University of Johannesburg (ZA), Wolkite University (ET), University of Technology Malaysia (MY)
Affordable and clean energy
Openalex Percentile: Top 4%
Electric Vehicles and Infrastructure
5.01
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.