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Electronics
Special Issues
Energy Management and Control in Emerging Electrified Transportation Systems
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Energy Management and Control in Emerging Electrified Transportation Systems

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

Deadline for manuscript submissions: 15 August 2025 | Viewed by 1984

Special Issue Editors

Dr. Junyu Chen

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Guest Editor
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China
Interests: energy management and control of electrified transportation systems
Dr. Ke Wang

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Guest Editor
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China
Interests: operation and optimization of railway power systems; power quality monitoring and control
Special Issues, Collections and Topics in MDPI journals
Dr. Yinbo Ge

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Guest Editor
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China
Interests: energy management and control of flexbile railway power systems
Dr. Zhuang Xiao

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Guest Editor
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China
Interests: operation control and optimization of intelligent transportation systems
Prof. Dr. Xiangke Li

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Guest Editor
Department of Electrical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
Interests: power electronic converters and applications in microgrids and more/all-electric aircrafts
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The electrification of transportation systems is a pivotal component of the global transition toward sustainable energy solutions. Electrified transportation, such as electric vehicles (EVs), electric aircraft, electric ships and electrified rail systems, promises significant reductions in greenhouse gas emissions, improvements in energy efficiency and enhancements in air quality. As the adoption of electrified transportation accelerates, the need for sophisticated energy management and control strategies becomes increasingly critical. The integration of electrified transportation systems with renewable energy sources, smart grids and advanced control technologies presents numerous opportunities and challenges. Efficient energy management is essential to maximize the benefits of electrification, ensuring that electrical grids can accommodate the increased load while maintaining stability and reliability. Furthermore, the development of advanced control strategies can optimize the performance and sustainability of electrified transportation systems, enhancing their overall effectiveness and user experience.

This Special Issue aims to gather state-of-the-art research and innovative solutions in the field of energy management and control for electrified transportation systems. The goal is to explore and address the technical, economic and regulatory challenges associated with the widespread adoption and integration of electrified transportation. The Special Issue will feature theoretical studies, practical applications and case studies that highlight the latest advancements in energy management and control for electrified transportation systems. By fostering collaboration among researchers, industry experts and policymakers, this Special Issue aims to promote the dissemination of innovative ideas and best practices that can accelerate the transition to a sustainable transportation future.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

  • Smart grid interaction with electrified transportation;
  • Emerging technologies for energy management in electrified transportation;
  • Advanced control techniques for electrified transportation;
  • Integration of renewable energy sources in electrified transportation;
  • Energy harvesting and storage in electrified transportation;
  • Resilience and reliability of energy systems in electrified transportation;
  • Operation control and optimization in electrified transportation.

We look forward to receiving your contributions.

Dr. Junyu Chen
Dr. Ke Wang
Dr. Yinbo Ge
Dr. Zhuang Xiao
Prof. Dr. Xiangke Li
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. 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.

Keywords

  • energy management
  • advanced control
  • energy system
  • electrified transportation

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Published Papers (2 papers)

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Research

17 pages, 4501 KiB  
Article
Model Assisted Extended State Observer-Based Deadbeat Predictive Current Control for Modular Multilevel Converter
by Xiaowei Yang, Yongqiang Zhang, Yang Liu and Sheng Jiang
Electronics 2024, 13(19), 3789; https://doi.org/10.3390/electronics13193789 - 24 Sep 2024
Cited by 1 | Viewed by 794
Abstract
Aiming at the issues of control delay and circuit parameter mismatch in three-phase modular multilevel converters (MMCs), this paper proposes a model assisted extended state observer-based deadbeat predictive current control (MAESO-based DPCC) strategy to regulate the AC-side current and internal circulating current. The [...] Read more.
Aiming at the issues of control delay and circuit parameter mismatch in three-phase modular multilevel converters (MMCs), this paper proposes a model assisted extended state observer-based deadbeat predictive current control (MAESO-based DPCC) strategy to regulate the AC-side current and internal circulating current. The model assisted ESO (MAESO) is employed to estimate the predicted values of the d- and q-axis components of the AC-side current, the internal circulating current, and system disturbance caused by the other certain and uncertain factors (including circuit parameter changes) of MMC at the time instant k + 1, and the required control input at the time instant k + 1 is then calculated based on the deadbeat control principle. The proposed control strategy not only maintains excellent steady-state performance and fast dynamic response characteristics similar to those of the traditional deadbeat predictive current control (DPCC) strategy but also has stronger robustness in the case of circuit parameter changes. The proposed control strategy was ultimately compared with the traditional DPCC strategy via experiments, and the experimental results verify the feasibility and effectiveness of the proposed control strategy. Full article
(This article belongs to the Special Issue Energy Management and Control in Emerging Electrified Transportation Systems)
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15 pages, 2625 KiB  
Article
Distributed Robust Optimization Method for Active Distribution Network with Variable-Speed Pumped Storage
by Pengyu Pan, Gang Chen, Huabo Shi, Xiaoming Zha and Zhiqiang Huang
Electronics 2024, 13(16), 3317; https://doi.org/10.3390/electronics13163317 - 21 Aug 2024
Cited by 2 | Viewed by 793
Abstract
Variable-speed pumped storage has the advantages of flexible adjustment and low economic cost, which can reduce the adverse effects caused by a high proportion of new energy access. In order to reduce the system operation risk caused by the randomness of new energy [...] Read more.
Variable-speed pumped storage has the advantages of flexible adjustment and low economic cost, which can reduce the adverse effects caused by a high proportion of new energy access. In order to reduce the system operation risk caused by the randomness of new energy output, a distribution robust optimization method for an active distribution network with variable-speed pumped storage is proposed. Firstly, considering the probability distribution uncertainty of wind–solar prediction error, a two-stage distributed robust optimization model of an active distribution network is constructed with the sum of day-ahead operating cost, intra-day adjustment cost expectation and conditional value-at-risk as the objective function. Then, the probability distribution fuzzy set is constructed based on the norm distance, and the fuzzy set boundary is determined by a data-driven method. Finally, the model is transformed into a mixed integer second-order cone optimization model by a linearization method and duality theory, and verified by an example. The results show that the proposed model can effectively reduce the operation risk caused by the uncertainty of operating cost and wind–solar output and reduce the operational costs and the risks associated with uncertainty in wind and solar power output. Full article
(This article belongs to the Special Issue Energy Management and Control in Emerging Electrified Transportation Systems)
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