Flexible Vehicle Platforms and Energy Management Systems for Medium- and Heavy-Duty Electric Vehicles

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 1289

Special Issue Editors

Mobility, Logistics and Automotive Technology Research Center, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
Interests: advanced power electronics with WBG (SiC &GaN); powertrains; electric vehicles; connectivity & IoT; digital twin; V2X systems; BMS; co-design optimization; smart DC and AC microgrids
Special Issues, Collections and Topics in MDPI journals
1. Senior 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
Senior Researcher and Vehicle Drivetrain Expert & Leader of Vehicle Team at MOBI-Mobility, Logistics and Automotive Technology Research Center, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussel, Belgium
Interests: power electronics; electric machines; electric and (plug-in) hybrid vehicles; (wireless) charging and power supply; power management strategies; control systems; optimization techniques; modelling & simulation
Special Issues, Collections and Topics in MDPI journals
MOBI-EPOWERS, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussels, Belgium
Interests: codesign optimization framework; wideband gap based power electronics converters (multiport converter; GaN/SiC inverter; offboard/ onboard charger; active front end); integrated energy management strategies

Special Issue Information

Dear Colleagues,

The commercial haulage sector is expected to continue growing in the upcoming decades, especially with medium- and heavy-duty vehicles for road transport. Alongside the environmental concerns, the steadily growing demand poses logistical and increasingly more complex transportation challenges. In order to meet both the environmental and technical–operational–economic targets for these applications, a holistic research approach tackling the challenges on different levels is required. New and future medium-/heavy-duty haulage vehicle designs for urban and suburban mission profiles need to be optimized on a component level (e-powertrain sub-systems or charging infrastructure) and vehicle architecture level, with regard to the efficiency, cost, flexibility, environmental-friendliness, and the size.

Important research topics for these applications and in this context include powertrain design optimization techniques (such as hardware co-design optimization approaches and powertrain control design optimization), component and system modelling approaches and digital twins, artificial intelligence and machine learning algorithms, and powertrain component innovations (i.e., power electronics systems such as inverters, DC/DC converters; and chargers; batteries; electric motors; and cooling systems) and play a key role in the future developments and generations of energy-efficient and cost-effective vehicle powertrains.

The objective of this Special Issue is to collect the recent developments and insights of the worldwide research community and experts and bring this knowledge together to present and discuss the recent advances in the optimization of the powertrain’s design, the innovations regarding the components of the powertrain, powertrain modelling and digital twin simulation, connectivity, and energy management strategies.

  • Prospective authors are invited to submit original contributions/articles for review and for possible publication in this SI. The topics of interest include (but are not limited to):
  • The design and co-design optimization techniques for electric vehicle powertrains;
  • Modular powertrain platforms;
  • Charging management strategies;
  • Megacharging systems (MCS);
  • Energy management strategies;
  • New modelling approaches and scalability including real-time modelling, the digital twins of powertrains, and their components;
  • Electrical energy and power storage systems;
  • Emerging power electronics systems based on novel wide bandgap semiconductor technologies;
  • New E/E architectures for electric vehicle systems;
  • Battery management systems (BMS);
  • Vehicle-to-grid (V2G), vehicle-to-home (V2H), and grid-to-vehicle (G2V) technologies;
  • The reliability of power electronics converters.

Prof. Dr. Omar Hegazy
Dr. Steven Wilkins
Dr. Mohamed El Baghdadi
Dr. Dai-Duong Tran
Guest Editors

Manuscript Submission Information

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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.


  • flexible vehicle platform
  • energy management systems
  • medium electric vehicles
  • heavy-duty electric vehicles
  • power electronics
  • electric machines
  • control systems
  • charging and energy management strategies
  • co-design optimization
  • optimization techniques
  • powertrain modeling
  • digital twins

Published Papers (1 paper)

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15 pages, 6290 KiB  
V2G Strategies to Flatten the Daily Load Curve in Seoul, South Korea
Appl. Sci. 2023, 13(18), 10392; https://doi.org/10.3390/app131810392 - 17 Sep 2023
Viewed by 986
In order to meet the increasing demand for electricity to maintain electric vehicles (EVs) worldwide, this paper aims to improve our understanding of the impact of the load on the power grid generated by the charging and discharging of electric vehicles. The rapid [...] Read more.
In order to meet the increasing demand for electricity to maintain electric vehicles (EVs) worldwide, this paper aims to improve our understanding of the impact of the load on the power grid generated by the charging and discharging of electric vehicles. The rapid development of the electric vehicle (EV) industry offers new economic and environmental benefits, such as mitigating global warming by reducing carbon dioxide. On the other hand, however, we will face the reality that the emergence of such large-scale EVs will undoubtedly put additional strain on the power grid. In this context, solving the problem of excessive power usage associated with charging large electric vehicles and reducing the impact on the grid is paramount. Accordingly, in order to meet the increasing demand for electricity to maintain electric vehicles (EVs) worldwide, this paper aims to improve our understanding of the impact of the load on the power grid generated by the charging and discharging of electric vehicles. A V2G strategy is presented with the goal of flattening the daily load curve by considering the charge and the discharge positions of EVs. First, in this paper, based on the estimated share of electric vehicles, we set the assumption that EVs travel to work in the morning and leave work in the afternoon. Second, we develop an efficient V2G strategy to equalize the daily load curve due to charging and discharging of electric vehicles in Seoul by applying a system marginal price (SMP) and time-of-use (TOU) rate system. The EV charging/discharging load and existing load using V2G modeling are added up, all daily load curves are calculated and analyzed based on the 2030 and 2040 EV share scenarios for Seoul, and the grid load is leveled. The analysis suggests measures to minimize the impact of EV loads on the power grid according to the V2G strategy based on charging and discharging plans. Overall, this paper aims to smooth the grid’s daily load curve and avoid grid overload by applying appropriate SMP and TOU plans; we also present an efficient V2G strategy, established through charge and discharge modeling and EV charge and discharge management techniques, in order to minimize grid expansion. Full article
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