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Electronics
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Electric Vehicle Charging: Technologies and Issues
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Electric Vehicle Charging: Technologies and Issues

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 4684

Special Issue Editor

Prof. Dr. Minho Shin

E-Mail Website
Guest Editor
Department of Computer Engineering, Myongji University, Seoul, Korea
Interests: security and privacy; smart-grid interoperability; electric vehicle charging systems; blockchain
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electric Vehicles (EVs) can play an important role in meeting global goals in climate change due to CO2 emissions. However, EVs cannot run alone. To fuel the EVs, EV-charging infrastructure is necessary. On the other hand, the EV-charging infrastructure is part of the larger sophisticated power grid system. To orchestrate the whole system for resource management, planning, security and ancillary services, information technology is a key component.

There are several international standards and de-facto standards for the communication of the EV and EV-charging infrastructure (e.g., ISO 15118, IEC 61851, IEC 63110, OCPP, and OSCP). Now, EV is a smart device interacting with the charging infrastructure for authorizing, planning, safety, and security. EV-charging infrastructure is evolving into an intelligent IT system for security, resource planning, and billing. Considering the sensitivity of the charging data for individual drivers and the importance of the power system’s reliability, EV-charging infrastructure will become a cyber-physical system under continual attacks from many determined adversaries. Before too late, designing the EV and EV-charging infrastructure with well-defined security principles is important for the future of EV.

This Special Issue focuses on several aspects related to the charging of EVs, including technology, regulation, standards, demonstration, and social influences. The following topics are welcomed, but are not limited to:

  • Charging technologies, including regular and fast charging, wired and non-wired charging
  • EV-charging infrastructure;
  • Privacy of the EV user in the context of EV charging;
  • Algorithms for planning of charging station networks
  • Smart charging
  • Communication among back-end systems of the EV-charging infrastructure;
  • Smart grid components, such as power distribution, energy management systems, flexibility systems, among others;
  • Charging control and management
  • Integration of REs for EVs charging;
  • Charging standards, including charger, connector, information transmission
  • Correlation to vehicle-to-grid services
  • EV communication.

Prof. Dr. Minho Shin
Guest Editor

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. Electronics 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 2400 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.

Published Papers (2 papers)

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Research

21 pages, 4226 KiB  
Article
Optimal Size of a Smart Ultra-Fast Charging Station
by Carola Leone, Michela Longo and Luis M. Fernández-Ramírez
Electronics 2021, 10(23), 2887; https://doi.org/10.3390/electronics10232887 - 23 Nov 2021
Cited by 7 | Viewed by 2202
Abstract
An ever-increasing penetration of electric vehicles (EVs) on the roads inevitably leads to an ever-stringent need for an adequate charging infrastructure. The emerging ultra-fast charging (UFC) technology has the potential to provide a refueling experience similar to that of gasoline vehicles; hence, it [...] Read more.
An ever-increasing penetration of electric vehicles (EVs) on the roads inevitably leads to an ever-stringent need for an adequate charging infrastructure. The emerging ultra-fast charging (UFC) technology has the potential to provide a refueling experience similar to that of gasoline vehicles; hence, it has a key role in enabling the adoption of EVs for medium-long distance travels. From the perspective of the UFC station, the differences existing in the EVs currently on the market make the sizing problem more challenging. A suitably conceived charging strategy can help to address these concerns. In this paper, we present a smart charging station concept that, through a modular DC/DC stage design, allows the split of the output power among the different charging ports. We model the issue of finding the optimal charging station as a single-objective optimization problem, where the goal is to find the number of modular shared DC/DC converters, and where the power rate of each module ensures the minimum charging time and charging cost. Simulation results show that the proposed solution could significantly reduce the required installed power. In particular, they prove that with an installed power of 800 kW it is possible to satisfy the needs of a UFC station composed of 10 charging spots. Full article
(This article belongs to the Special Issue Electric Vehicle Charging: Technologies and Issues)
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15 pages, 42591 KiB  
Article
Planning of Electric Taxi Charging Stations Based on Travel Data Characteristics
by Yan Wang, Shan Gao, Hongyan Chu and Xuefei Wang
Electronics 2021, 10(16), 1947; https://doi.org/10.3390/electronics10161947 - 12 Aug 2021
Cited by 1 | Viewed by 1691
Abstract
In view of the practical application requirements for the rapid expansion of electric taxis (ETs) and the reasonable planning of charging stations, this paper presents a method for mining latent semantic correlation of large data by the trajectory of ETs and the planning [...] Read more.
In view of the practical application requirements for the rapid expansion of electric taxis (ETs) and the reasonable planning of charging stations, this paper presents a method for mining latent semantic correlation of large data by the trajectory of ETs and the planning of charging stations with optimal cost. Firstly, the vector space modeling method of ET trajectory data is studied, and the semantic similarity of the trajectory data matrix is evaluated. Secondly, the hidden characteristics of the mass trajectory data are extracted by matrix decomposition. Then, the latent semantic correlation characteristics of trajectory data are mined. Finally, the fast clustering of ETs is realized by the spectral clustering method. On this basis, with the objective of minimizing the annual construction and maintenance costs of charging stations, the optimal planning scheme of charging stations for ETs is given. In this paper, the spectrum clustering processing method of the potential semantic correlation of the big data of the driving track of ETs can be combined with the operation and maintenance costs of the charging station, and the convenience of charging for ET users is also considered. This provides decision support information for the reasonable planning of charging stations. Full article
(This article belongs to the Special Issue Electric Vehicle Charging: Technologies and Issues)
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