Charging Systems for Electric Vehicles

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (15 August 2023) | Viewed by 3530

Special Issue Editors

Department of Automotive Engineering and Transports, Technical University of Cluj-Napoca Romania, 400114 Cluj-Napoca, Romania
Interests: electric vehicles; electric vehicles; fuel cell vehicles; powertrain concept; electronic control unit; in-vehicle communication network; energy efficiency; autonomous vehicles; computer modeling and simulation in the automotive field
Special Issues, Collections and Topics in MDPI journals
AVL List GmbH, Hans-List-Platz 1, 8020 Graz, Austria
Interests: electric vehicles; electric drive systems; battery thermal management; fuel cell systems; e-machine and power electronics cooling; scalable multi-physics modeling; virtual components integration

Special Issue Information

Dear Colleagues,

Every country in the world is currently making efforts to reduce CO2 emissions and pollutant emissions in the transport sector. A sustainable solution would be to replace classic vehicles with electric vehicles, which are totally environmentally friendly if green energy sources are used to charge them.

The complexity and diversity of future charging systems for electric vehicles evolves exponentially.

Due to the continuous expansion of electric vehicles, a real problem is the number, distribution, and diversity of charging systems for these vehicles.

Many of the potential customers for an electric vehicle are mainly thinking about where to charge their vehicles, how long the charging process is, and what the costs are of doing it. However, before using an electric vehicle for a longer trip, it will analyze if there are reliable solutions for charging the electric batteries of the vehicle on the chosen route.

The charging systems for electric vehicles are found in a wide variety of models, concepts, and technologies, different from one area to another in the world as well as from one manufacturer to another, in continuous evolution and expansion.

This Special Issue, by publishing the work and research of teams of researchers from all over the world, aims to present as many charging solutions for electric vehicles as possible, in addition to concepts and technologies that will be used both now and in the future.

Dr. Calin Iclodean
Dr. Reinhard Tatschl
Guest Editors

Manuscript Submission Information

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  • charging systems for electric vehicles
  • energy storage technologies for electric vehicles
  • battery management systems
  • power converter technologies
  • energy conversion systems
  • electric charging systems
  • charging stations for electric vehicles
  • charging infrastructure
  • V2G concept

Published Papers (1 paper)

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30 pages, 4824 KiB  
A Review on Different State of Battery Charge Estimation Techniques and Management Systems for EV Applications
Electronics 2022, 11(11), 1795; - 06 Jun 2022
Cited by 8 | Viewed by 2701
Electric vehicles (EVs) have acquired significant popularity in recent decades due to their performance and efficiency. EVs are already largely acknowledged as the most promising solutions to global environmental challenges and CO2 emissions. Li-ion batteries are most frequently employed in EVs due [...] Read more.
Electric vehicles (EVs) have acquired significant popularity in recent decades due to their performance and efficiency. EVs are already largely acknowledged as the most promising solutions to global environmental challenges and CO2 emissions. Li-ion batteries are most frequently employed in EVs due to their various benefits. An effective Battery Management System (BMS) is essential to improve the battery performance, including charging–discharging control, precise monitoring, heat management, battery safety, and protection, and also an accurate estimation of the State of Charge (SOC). The SOC is required to provide the driver with a precise indication of the remaining range. At present, different types of estimation algorithms are available, but they still have several challenges due to their performance degradation, complex electrochemical reactions, and inaccuracy. The estimating techniques, average error, advantages, and disadvantages were examined methodically and independently for this paper. The article presents advanced SOC estimating techniques, such as LSTM, GRU, and CNN-LSMT, and hybrid techniques to estimate the average error of the SOC. A detailed comparison is presented with merits and demerits, which helped the researchers in the implementation of EV applications. This research also identified several factors, challenges, and potential recommendations for an enhanced BMS and efficient estimating approaches for future sustainable EV applications. Full article
(This article belongs to the Special Issue Charging Systems for Electric Vehicles)
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