LAPSE:2023.7055
Published Article

LAPSE:2023.7055
Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging
February 24, 2023
Abstract
The rise of the intelligent, local charging facilitation and environmentally friendly aspects of electric vehicles (EVs) has grabbed the attention of many end-users. However, there are still numerous challenges faced by researchers trying to put EVs into competition with internal combustion engine vehicles (ICEVs). The major challenge in EVs is quick recharging and the selection of an optimal charging station. In this paper, we present the most recent research on EV charging management systems and their role in smart cities. EV charging can be done either in parking mode or on-the-move mode. This review work is novel due to many factors, such as that it focuses on discussing centralized and distributed charging management techniques supported by a communication framework for the selection of an appropriate charging station (CS). Similarly, the selection of CS is evaluated on the basis of battery charging as well as battery swapping services. This review also covered plug-in charging technologies including residential, public and ultra-fast charging technologies and also discusses the major components and architecture of EVs involved in charging. In a comprehensive and detailed manner, the applications and challenges in different charging modes, CS selection, and future work have been discussed. This is the first attempt of its kind, we did not find a survey on the charging hierarchy of EVs, their architecture, or their applications in smart cities.
The rise of the intelligent, local charging facilitation and environmentally friendly aspects of electric vehicles (EVs) has grabbed the attention of many end-users. However, there are still numerous challenges faced by researchers trying to put EVs into competition with internal combustion engine vehicles (ICEVs). The major challenge in EVs is quick recharging and the selection of an optimal charging station. In this paper, we present the most recent research on EV charging management systems and their role in smart cities. EV charging can be done either in parking mode or on-the-move mode. This review work is novel due to many factors, such as that it focuses on discussing centralized and distributed charging management techniques supported by a communication framework for the selection of an appropriate charging station (CS). Similarly, the selection of CS is evaluated on the basis of battery charging as well as battery swapping services. This review also covered plug-in charging technologies including residential, public and ultra-fast charging technologies and also discusses the major components and architecture of EVs involved in charging. In a comprehensive and detailed manner, the applications and challenges in different charging modes, CS selection, and future work have been discussed. This is the first attempt of its kind, we did not find a survey on the charging hierarchy of EVs, their architecture, or their applications in smart cities.
Record ID
Keywords
charging techniques, charging technologies, key technologies, modes of charging, Scheduling
Subject
Suggested Citation
Ahmad A, Khalid M, Ullah Z, Ahmad N, Aljaidi M, Malik FA, Manzoor U. Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging. (2023). LAPSE:2023.7055
Author Affiliations
Ahmad A: Institute of Management Sciences, Peshawar 25000, Pakistan [ORCID]
Khalid M: School of Computer Science, University of Hull, Hull HU6 7RX, UK [ORCID]
Ullah Z: Institute of Management Sciences, Peshawar 25000, Pakistan [ORCID]
Ahmad N: Department of Computer Science, Prince Sultan University, Riydah 12435, Saudi Arabia
Aljaidi M: Department of Computer Science, Zarqa University, Zarqa 13116, Jordan [ORCID]
Malik FA: Northumbria Future Aerospace, Control and Transportation Research Group (n-FACT), Northumbria University, Newcastle upon Tyne NE1 8ST, UK [ORCID]
Manzoor U: Department of Computer Science, Aston University, Birmingham B4 7ET, UK
Khalid M: School of Computer Science, University of Hull, Hull HU6 7RX, UK [ORCID]
Ullah Z: Institute of Management Sciences, Peshawar 25000, Pakistan [ORCID]
Ahmad N: Department of Computer Science, Prince Sultan University, Riydah 12435, Saudi Arabia
Aljaidi M: Department of Computer Science, Zarqa University, Zarqa 13116, Jordan [ORCID]
Malik FA: Northumbria Future Aerospace, Control and Transportation Research Group (n-FACT), Northumbria University, Newcastle upon Tyne NE1 8ST, UK [ORCID]
Manzoor U: Department of Computer Science, Aston University, Birmingham B4 7ET, UK
Journal Name
Energies
Volume
15
Issue
24
First Page
9471
Year
2022
Publication Date
2022-12-14
ISSN
1996-1073
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Original Submission
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PII: en15249471, Publication Type: Review
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LAPSE:2023.7055
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https://doi.org/10.3390/en15249471
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Feb 24, 2023
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