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Power and Energy Systems for E-Mobility, 2nd Edition
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Power and Energy Systems for E-Mobility, 2nd Edition

A special issue of World Electric Vehicle Journal (ISSN 2032-6653).

Deadline for manuscript submissions: 30 April 2026 | Viewed by 860

Special Issue Editors

Dr. Wenming Yang

E-Mail Website
Guest Editor
Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117575, Singapore
Interests: combustion; biofuels; internal combustion engines; boilers
Special Issues, Collections and Topics in MDPI journals
Dr. Anna Pinnarelli

E-Mail Website
Guest Editor
Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria, 87036 Rende, Italy
Interests: FACTS technology; harmonic analysis; electrical system automation and decentralized control; electrical power systems control and management with particular attention on the consequence of market scenario; smart grid; microgrid; nanogrid technologies and demand response modelling and analysis; market model and aggregator framework for energy district and energy communities
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The transition toward sustainable transportation has propelled significant advancements in electric mobility (e-mobility), necessitating innovative solutions in power and energy systems. This thematic area focuses on integrating, optimizing, and managing energy technologies and infrastructure to support the electrification of transportation. Contributions are invited to address both theoretical and practical challenges across the following scopes:

  1. Power Electronics and Energy Conversion: Design and control of high-efficiency converters, inverters, and bidirectional chargers for electric vehicles (EVs), including wide-bandgap semiconductor applications and thermal management.
  2. Energy Storage Systems: Development of advanced battery technologies (e.g., solid-state, fast-charging), battery management systems (BMS), and hybrid energy storage solutions (e.g., battery-supercapacitor systems) for enhanced performance and longevity.
  3. Charging Infrastructure: Smart and ultra-fast charging systems, wireless charging, vehicle-to-grid (V2G) integration, and interoperability standards for scalable, resilient charging networks, as well as the safety of the infrastructure.
  4. Grid Integration and Stability: Impact of e-mobility on power grids, load forecasting, demand-side management, grid reinforcement strategies, and renewable energy synergy (e.g., solar-EV integration).
  5. Energy Management Strategies: AI/ML-driven optimization of energy flow, dynamic pricing models, and fleet-level energy distribution for EVs, microgrids, and public transit systems.
  6. Sustainability and Lifecycle Analysis: Circular economy approaches, second-life battery applications, carbon footprint reduction, and material recycling for e-mobility systems.
  7. Emerging Technologies: Innovations in hydrogen fuel cells, hybrid propulsion systems, and lightweight energy solutions for aviation, marine, and freight electrification.

Dr. Wenming Yang
Dr. Anna Pinnarelli
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. World Electric Vehicle Journal 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 1400 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

  • electric mobility (e-mobility)
  • power and energy systems
  • power electronics
  • energy storage systems
  • charging infrastructure
  • grid integration
  • emerging technologies
  • sustainability and lifecycle analysis

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Related Special Issue

Published Papers (3 papers)

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Research

31 pages, 5099 KiB  
Article
Scalable Energy Management Model for Integrating V2G Capabilities into Renewable Energy Communities
by Niccolò Pezzati, Eleonora Innocenti, Lorenzo Berzi and Massimo Delogu
World Electr. Veh. J. 2025, 16(8), 450; https://doi.org/10.3390/wevj16080450 - 7 Aug 2025
Viewed by 246
Abstract
To promote a more decentralized energy system, the European Commission introduced the concept of Renewable Energy Communities (RECs). Meanwhile, the increasing penetration of Electric Vehicles (EVs) may significantly increase peak power demand and consumption ramps when charging sessions are left uncontrolled. However, by [...] Read more.
To promote a more decentralized energy system, the European Commission introduced the concept of Renewable Energy Communities (RECs). Meanwhile, the increasing penetration of Electric Vehicles (EVs) may significantly increase peak power demand and consumption ramps when charging sessions are left uncontrolled. However, by integrating smart charging strategies, such as Vehicle-to-Grid (V2G), EV storage can actively support the energy balance within RECs. In this context, this work proposes a comprehensive and scalable model for leveraging smart charging capabilities in RECs. This approach focuses on an external cooperative framework to optimize incentive acquisition and reduce dependence on Medium Voltage (MV) grid substations. It adopts a hybrid strategy, combining Mixed-Integer Linear Programming (MILP) to solve the day-ahead global optimization problem with local rule-based controllers to manage power deviations. Simulation results for a six-month case study, using historical demand data and synthetic charging sessions generated from real-world events, demonstrate that V2G integration leads to a better alignment of overall power consumption with zonal pricing, smoother load curves with a 15.5% reduction in consumption ramps, and enhanced cooperation with a 90% increase in shared power redistributed inside the REC. Full article
(This article belongs to the Special Issue Power and Energy Systems for E-Mobility, 2nd Edition)
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25 pages, 77176 KiB  
Article
Advancing Energy Management Strategies for Hybrid Fuel Cell Vehicles: A Comparative Study of Deterministic and Fuzzy Logic Approaches
by Mohammed Essoufi, Mohammed Benzaouia, Bekkay Hajji, Abdelhamid Rabhi and Michele Calì
World Electr. Veh. J. 2025, 16(8), 444; https://doi.org/10.3390/wevj16080444 - 6 Aug 2025
Viewed by 273
Abstract
The increasing depletion of fossil fuels and their environmental impact have led to the development of fuel cell hybrid electric vehicles. By combining fuel cells with batteries, these vehicles offer greater efficiency and zero emissions. However, their energy management remains a challenge requiring [...] Read more.
The increasing depletion of fossil fuels and their environmental impact have led to the development of fuel cell hybrid electric vehicles. By combining fuel cells with batteries, these vehicles offer greater efficiency and zero emissions. However, their energy management remains a challenge requiring advanced strategies. This paper presents a comparative study of two developed energy management strategies: a deterministic rule-based approach and a fuzzy logic approach. The proposed system consists of a proton exchange membrane fuel cell (PEMFC) as the primary energy source and a lithium-ion battery as the secondary source. A comprehensive model of the hybrid powertrain is developed to evaluate energy distribution and system behaviour. The control system includes a model predictive control (MPC) method for fuel cell current regulation and a PI controller to maintain DC bus voltage stability. The proposed strategies are evaluated under standard driving cycles (UDDS and NEDC) using a simulation in MATLAB/Simulink. Key performance indicators such as fuel efficiency, hydrogen consumption, battery state-of-charge, and voltage stability are examined to assess the effectiveness of each approach. Simulation results demonstrate that the deterministic strategy offers a structured and computationally efficient solution, while the fuzzy logic approach provides greater adaptability to dynamic driving conditions, leading to improved overall energy efficiency. These findings highlight the critical role of advanced control strategies in improving FCHEV performance and offer valuable insights for future developments in hybrid-vehicle energy management. Full article
(This article belongs to the Special Issue Power and Energy Systems for E-Mobility, 2nd Edition)
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20 pages, 13715 KiB  
Article
Dynamic Reconfiguration for Energy Management in EV and RES-Based Grids Using IWOA
by Hossein Lotfi, Mohammad Hassan Nikkhah and Mohammad Ebrahim Hajiabadi
World Electr. Veh. J. 2025, 16(8), 412; https://doi.org/10.3390/wevj16080412 - 23 Jul 2025
Viewed by 240
Abstract
Effective energy management is vital for enhancing reliability, reducing operational costs, and supporting the increasing penetration of electric vehicles (EVs) and renewable energy sources (RESs) in distribution networks. This study presents a dynamic reconfiguration strategy for distribution feeders that integrates EV charging stations [...] Read more.
Effective energy management is vital for enhancing reliability, reducing operational costs, and supporting the increasing penetration of electric vehicles (EVs) and renewable energy sources (RESs) in distribution networks. This study presents a dynamic reconfiguration strategy for distribution feeders that integrates EV charging stations (EVCSs), RESs, and capacitors. The goal is to minimize both Energy Not Supplied (ENS) and operational costs, particularly under varying demand conditions caused by EV charging in grid-to-vehicle (G2V) and vehicle-to-grid (V2G) modes. To improve optimization accuracy and avoid local optima, an improved Whale Optimization Algorithm (IWOA) is employed, featuring a mutation mechanism based on Lévy flight. The model also incorporates uncertainties in electricity prices and consumer demand, as well as a demand response (DR) program, to enhance practical applicability. Simulation studies on a 95-bus test system show that the proposed approach reduces ENS by 16% and 20% in the absence and presence of distributed generation (DG) and EVCSs, respectively. Additionally, the operational cost is significantly reduced compared to existing methods. Overall, the proposed framework offers a scalable and intelligent solution for smart grid integration and distribution network modernization. Full article
(This article belongs to the Special Issue Power and Energy Systems for E-Mobility, 2nd Edition)
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