Advances in Charging Systems and Charging Management Strategies for Battery Electric Vehicles

A special issue of Batteries (ISSN 2313-0105). This special issue belongs to the section "Battery Modelling, Simulation, Management and Application".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 17818

Special Issue Editors


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Guest Editor
Head of EPOWERS Research Group, ETEC Department & MOBI Research Centre, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussels, Belgium
Interests: power electronics; electrical machines; electric and (plug-in) hybrid electric vehicles; Digital Twin (DT); reliability & lifetime; charging infrastructure; power/energy management strategies; FC (Hydrogen) powertrains; battery management systems (BMS); V2X systems; optimization techniques and smart DC grid with renewable energy
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Senor Research Scientist, Powertrains Department, TNO, Automotive Campus 30, NL-5708 JZ Helmond, The Netherlands
2. Assistant Professor, EPE Group, Technische Universiteit Eindhoven (TU/e), Postbus 513, 5600 MB Eindhoven, The Netherlands
Interests: modelling and simulation of electrified powertains; energy management strategies; energy storage systems; battery management systems; state estimation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Elecrification in cities has gained a growing interest in the transport industry towards more electrified and energy-efficient drivetrains to improve air-quality. Thus, charging systems and infrastructure and their charging management strategies have a significant impact on battery systems in terms of aging, sizing and thermal management, and on the drivetrain in terms of efficiency, total cost of ownership (TCO) and power electronics interfaces (i.e., on/off chargers, DC/DC converters, etc.). Furthermore, the charging systems and their control systems should be optimally designed and controlled; taking into account their impact on the grid in terms of stability, power quality, etc.

Therefore, this Special Issue is focused on recent advances in charging systems and charging management strategies that address the above-mentioned aspects and go beyond the state-of-the-art.

Prospective authors are invited to submit original contributions/articles for review and for possible publication in this Special Issue. Topics of interest include (but are not limited to):

  • On/Off Charging Systems;
  • Charging Management Strategies;
  • Energy Management Strategies;
  • New Architecture for EV and PHEV for both light-duty and heavy-duty vehicles;
  • Energy Storage systems for fast charging capabilities;
  • Battery Aging and State of Heath estimation (SoH);
  • Vehicle-to- grid (V2G), vehicle-to-home (V2H), Grid –to-vehicle (G2V) technologies;
  • Charging systems and grid quality

Prof. Dr. Omar Hegazy
Prof. Dr. Steven Wilkins
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. Batteries is an international peer-reviewed open access monthly 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 2700 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

  • Battery Electric Vehicles (passenger cars, electric buses, electric vans, etc.)
  • Charging systems
  • Energy management strategies
  • Power electronics converters
  • V2G and G2V
  • Battery Aging
  • Battery Thermal management strategies
  • State of health esitmations

Published Papers (3 papers)

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Research

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19 pages, 2601 KiB  
Article
Charge Scheduling of Electric Vehicle Fleets: Maximizing Battery Remaining Useful Life Using Machine Learning Models
by David Geerts, Róbinson Medina, Wilfried van Sark and Steven Wilkins
Batteries 2024, 10(2), 60; https://doi.org/10.3390/batteries10020060 - 15 Feb 2024
Viewed by 1352
Abstract
Reducing greenhouse emissions can be done via the electrification of the transport industry. However, there are challenges related to the electrification such as the lifetime of vehicle batteries as well as limitations on the charging possibilities. To cope with some of these challenges, [...] Read more.
Reducing greenhouse emissions can be done via the electrification of the transport industry. However, there are challenges related to the electrification such as the lifetime of vehicle batteries as well as limitations on the charging possibilities. To cope with some of these challenges, a charge scheduling method for fleets of electric vehicles is presented. Such a method assigns the charging moments (i.e., schedules) of fleets that have more vehicles than chargers. While doing the assignation, the method also maximizes the total Remaining Useful Life (RUL) of all the vehicle batteries. The method consists of two optimization algorithms. The first optimization algorithm determines charging profiles (i.e., charging current vs time) for individual vehicles. The second algorithm finds the charging schedule (i.e., the order in which vehicles are connected to a charger) that maximizes the RUL in the batteries of the entire fleet. To reduce the computational effort of predicting the battery RUL, the method uses a Machine Learning (ML) model. Such a model predicts the RUL of an individual battery while taking into account common stress factors and fabrication-related differences per battery. Simulation results show that charging a single vehicle as late as possible maximizes the RUL of that single vehicle, due to the lower battery degradation. Simulations also show that the ML model accurately predicts the RUL, while taking into account fabrication-related variability in the battery. Additionally, it was shown that this method schedules the charging moments of a fleet, leading to an increased total RUL of all the batteries in the vehicle fleet. Full article
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Review

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35 pages, 2556 KiB  
Review
Review of Active Front-End Rectifiers in EV DC Charging Applications
by Assel Zhaksylyk, Haaris Rasool, Ekaterina Abramushkina, Sajib Chakraborty, Thomas Geury, Mohamed El Baghdadi and Omar Hegazy
Batteries 2023, 9(3), 150; https://doi.org/10.3390/batteries9030150 - 27 Feb 2023
Cited by 4 | Viewed by 6496
Abstract
Active Front-End (AFE) rectifiers have regained momentum as the demand for highpower Electric Vehicle (EV) charging infrastructure increases exponentially. AFE rectifiers have high efficiency and reliability, and they minimize the disturbances that could be generated due to the operation of the EV charging [...] Read more.
Active Front-End (AFE) rectifiers have regained momentum as the demand for highpower Electric Vehicle (EV) charging infrastructure increases exponentially. AFE rectifiers have high efficiency and reliability, and they minimize the disturbances that could be generated due to the operation of the EV charging systems by reducing harmonic distortion and operating close to the Unity Power Factor (UPF). The purpose of this review is to present the current state-of-the-art AFE rectifiers used in fast chargers, focusing on the comparison between different AFE topologies and their components, as well as modular AFE solutions. Furthermore, different control strategies of AFE converters are presented and compared. Some of their more widely used control techniques, namely Voltage Oriented Control (VOC), Direct Power Control (DPC), Hysteresis Current Control (HCC), and Model Predictive Control (MPC), have been implemented, and their performance compared. Centralized and distributed control systems are compared for operating parallel AFE rectifiers for modular, fast charging systems. An overview of cooling systems and reliability evaluation tools is also presented. Finally, trends and future outlooks are analyzed. Full article
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36 pages, 4388 KiB  
Review
A Review of DC Fast Chargers with BESS for Electric Vehicles: Topology, Battery, Reliability Oriented Control and Cooling Perspectives
by Hakan Polat, Farzad Hosseinabadi, Md. Mahamudul Hasan, Sajib Chakraborty, Thomas Geury, Mohamed El Baghdadi, Steven Wilkins and Omar Hegazy
Batteries 2023, 9(2), 121; https://doi.org/10.3390/batteries9020121 - 08 Feb 2023
Cited by 11 | Viewed by 8658
Abstract
The global promotion of electric vehicles (EVs) through various incentives has led to a significant increase in their sales. However, the prolonged charging duration remains a significant hindrance to the widespread adoption of these vehicles and the broader electrification of transportation. While DC-fast [...] Read more.
The global promotion of electric vehicles (EVs) through various incentives has led to a significant increase in their sales. However, the prolonged charging duration remains a significant hindrance to the widespread adoption of these vehicles and the broader electrification of transportation. While DC-fast chargers have the potential to significantly reduce charging time, they also result in high power demands on the grid, which can lead to power quality issues and congestion. One solution to this problem is the integration of a battery energy storage system (BESS) to decrease peak power demand on the grid. This paper presents a review of the state-of-the-art use of DC-fast chargers coupled with a BESS. The focus of the paper is on industrial charger architectures and topologies. Additionally, this paper presents various reliability-oriented design methods, prognostic health monitoring techniques, and low-level/system-level control methods. Special emphasis is placed on strategies that can increase the lifetime of these systems. Finally, the paper concludes by discussing various cooling methods for power electronics and stationary/EV batteries. Full article
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