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Communications, IoT, and Blockchain for Electric Vehicle Charging 2023

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: closed (1 February 2024) | Viewed by 7806

Special Issue Editors


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Guest Editor
School of Computing Engineering and Physical Sciences, University of the West of Scotland, Paisley PA1 2BE, UK
Interests: wireless communications; 5G/6G networks; AI/ML; cloud computing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UK
Interests: electric vehicle grid integration; demand-side management; energy storage systems; sustainability; stochastic networks; optimization and control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Deeper decarbonization of the transport sector requires the construction of a wide coverage electric vehicle (EV) charging network that can meet drivers’ mobility patterns and refuelling habits in a seamless manner. To orchestrate the charging of large-scale EVs, communication technologies play an enabling role in exchanging various information between individual EVs and distributed or centralised controllers. Moreover, the emerging Internet of Things (IoT) facilitates the smart charging of multiple EVs, which is critical to reduce peak loading and avoid stressing the grid assets beyond capacity. Recently, blockchain technologies have supported EV charging in a decentralised fashion. As a result, a large number of industrial start-ups and academic projects focusing on facilitating Vehicle-to-X (X: home, grid, and building) services, orchestrating demand flexibility, and managing EV fleet charging have come to the fore. This Special Issue aims to provide an ideal opportunity to make innovative contributions to communications, IoT, and blockchain for electric vehicle charging, including novel the network architectures, performance modelling, and joint optimization of power and communication networks for efficient planning and operation. We invite experimental, simulation-based, review and/or analytical research with well-elaborated, realistic case studies.

Dr. Muhammad Zeeshan Shakir
Dr. Islam Safak Bayram
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • communication systems for electric vehicles network
  • performance modelling for electric vehicle charging
  • Internet of Things (IoT) for electric vehicles
  • blockchain enabled distributed charging for electric vehicles
  • fog/edge/cloud-based service solutions for electric vehicle charging
  • smart charging frameworks/testbeds and implementations
  • electric vehicle load monitoring and forecasting/prediction
  • artificial intelligence-enabled IoT architecture standardization of communication and IoT protocols

Published Papers (2 papers)

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Research

23 pages, 2782 KiB  
Article
A Monitoring System for Electric Vehicle Charging Stations: A Prototype in the Amazon
by Elen Lobato, Lucas Prazeres, Iago Medeiros, Felipe Araújo, Denis Rosário, Eduardo Cerqueira, Maria Tostes, Ubiratan Bezerra, Wellington Fonseca and Andréia Antloga
Energies 2023, 16(1), 152; https://doi.org/10.3390/en16010152 - 23 Dec 2022
Cited by 5 | Viewed by 4731
Abstract
Among the main problems faced in the context of electric mobility today, the management and monitoring of electric vehicle charging stations, the integration between the diverse types of technologies that make up its architecture, and its low scalability stand out. Therefore, we will [...] Read more.
Among the main problems faced in the context of electric mobility today, the management and monitoring of electric vehicle charging stations, the integration between the diverse types of technologies that make up its architecture, and its low scalability stand out. Therefore, we will present the implementation and complete integration of an electric vehicle charging system in an electric mobility pilot project being executed in the Amazon region in Brazil. Therefore, a literature review of related works will be presented, and its entire implementation will be addressed, from the charging infrastructure, through its back-end system and its Internet of things platform, to its front-end web system for monitoring charging stations. In addition, a complete prototype is created with a real testbed to verify the scalability of the implemented physical system. Based on the testbed evaluations performed, we observe that the implemented system performs well in receiving and sending data from up to 160 electric vehicle charging stations, achieving an average consumption of 26% for CPU and 95% for memory. In addition, it is important to mention that the deployed system supports horizontal scalability, enabling the connection of more charging stations and making it ideal for other integrated systems similar to ours. Based upon the main results obtained with the implemented system, the possibility of carrying out the management and monitoring of charging stations stands out; the integration of different technologies, from the back end and IoT middleware to its front end; a system that supports scalability, enabling the connection of more charging stations; and a reference architecture for charging station management and monitoring systems for the Amazon region. Full article
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23 pages, 524 KiB  
Article
Electric Vehicle as a Service (EVaaS): Applications, Challenges and Enablers
by Ifiok Anthony Umoren and Muhammad Zeeshan Shakir
Energies 2022, 15(19), 7207; https://doi.org/10.3390/en15197207 - 30 Sep 2022
Cited by 8 | Viewed by 2426
Abstract
Under the vehicle-to-grid (V2G) concept, electric vehicles (EVs) can be deployed as loads to absorb excess production or as distributed energy resources to supply part of their stored energy back to the grid. This paper overviews the technologies, technical components and system requirements [...] Read more.
Under the vehicle-to-grid (V2G) concept, electric vehicles (EVs) can be deployed as loads to absorb excess production or as distributed energy resources to supply part of their stored energy back to the grid. This paper overviews the technologies, technical components and system requirements needed for EV deployment. Electric vehicle as a service (EVaaS) exploits V2G technology to develop a system where suitable EVs within the distribution network are chosen individually or in aggregate to exchange energy with the grid, individual customers or both. The EVaaS framework is introduced, and interactions among EVaaS subsystems such as EV batteries, charging stations, loads and advanced metering infrastructure are studied. The communication infrastructure and processing facilities that enable data and information exchange between EVs and the grid are reviewed. Different strategies for EV charging/discharging and their impact on the distribution grid are reviewed. Several market designs that incentivize energy trading in V2G environments are discussed. The benefits of V2G are studied from the perspectives of ancillary services, supporting of renewables and the environment. The challenges to V2G are studied with respect to battery degradation, energy conversion losses and effects on distribution system. Full article
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