Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.3
3.2
Journals
Energies
Special Issues
Drive System and Control Strategy of Electric Vehicle
energies-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Energies Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Drive System and Control Strategy of Electric Vehicle

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: 25 September 2025 | Viewed by 576

Special Issue Editors

Prof. Dr. Krzysztof Szabat

E-Mail Website
Guest Editor
1. Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, 50-372 Wroclaw, Poland
2. Department of System Design Engineering, Keio University, Yokohama 223-8522, Japan
Interests: electrical machines and drives; control strategies; estimation techniques; mechatronic systems; vibrations damping; predictive health monitoring
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Seiichiro Katsura

E-Mail Website
Guest Editor
Department of System Design Engineering, Keio University, Yokohama 223-8522, Japan
Interests: electrical machines and drives; control strategies; estimation techniques; mechatronic systems; vibrations damping; sensors and accurators

Special Issue Information

Dear Colleagues,

In recent years, rapid growth in electromobility has occurred. Electric propulsion systems are becoming increasingly widespread in all vehicles, from cars to buses and large trucks. This type of drive is also considered in ships and even aircraft. This is due to several unquestionable advantages of electric propulsion. They provide fast response times, a compact structure, high speeds, and drive torques. In many countries, regulations promote this type of propulsion.

The electric drive consists of a number of components. Its basic part is an electric machine powered by a suitable power electronic converter. Designing these parts optimally is a major scientific and engineering challenge. In order to work properly, the system must be connected to the executive part in an appropriate way (through various types of reducers or gears). Powering the system is done from an internal battery which also generates a number of scientific challenges. Each of the mentioned parts is controlled by appropriate control algorithms. The whole system is controlled by a master algorithm.

Type of interest publications include, but not limited to:

  • Electrical machine design.
  • Design of power electronic converters.
  • Design of gearboxes and speed reducers.
  • Control issues of electric machines, power electronic converters (control algorithms, state variable estimation and sensor fault-tolerant control).
  • Design and operation of measuring sensors for electromobility.
  • Damping of torsional vibrations in drive systems.
  • Control of battery discharge and charging.
  • Design of master control systems for the entire system.
  • Safety issues in electro-mobility.

Prof. Dr. Krzysztof Szabat
Prof. Dr. Seiichiro Katsura
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. Energies 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 2600 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

  • electromobility
  • electrical machines
  • electrical drives
  • control strategies for electrical drives
  • vibration control
  • battery control

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

22 pages, 6565 KiB  
Article
Hybrid NARX Neural Network with Model-Based Feedback for Predictive Torsional Torque Estimation in Electric Drive with Elastic Connection
by Amanuel Haftu Kahsay, Piotr Derugo, Piotr Majdański and Rafał Zawiślak
Energies 2025, 18(14), 3770; https://doi.org/10.3390/en18143770 - 16 Jul 2025
Viewed by 112
Abstract
This paper proposes a hybrid methodology for one-step-ahead torsional torque estimation in an electric drive with an elastic connection. The approach integrates Nonlinear Autoregressive Neural Networks with Exogenous Inputs (NARX NNs) and model-based feedback. The NARX model uses real-time and historical motor speed [...] Read more.
This paper proposes a hybrid methodology for one-step-ahead torsional torque estimation in an electric drive with an elastic connection. The approach integrates Nonlinear Autoregressive Neural Networks with Exogenous Inputs (NARX NNs) and model-based feedback. The NARX model uses real-time and historical motor speed and torque signals as inputs while leveraging physics-derived torsional torque as a feedback input to refine estimation accuracy and robustness. While model-based methods provide insight into system dynamics, they lack predictive capability—an essential feature for proactive control. Conversely, standalone NARX NNs often suffer from error accumulation and overfitting. The proposed hybrid architecture synergises the adaptive learning of NARX NNs with the fidelity of physics-based feedback, enabling proactive vibration damping. The method was implemented and evaluated on a two-mass drive system using an IP controller and additional torsional torque feedback. Results demonstrate high accuracy and reliability in one-step-ahead torsional torque estimation, enabling effective proactive vibration damping. MATLAB 2024a/Simulink and dSPACE 1103 were used for simulation and hardware-in-the-loop testing. Full article
(This article belongs to the Special Issue Drive System and Control Strategy of Electric Vehicle)
►▼ Show Figures

Figure 1

20 pages, 3494 KiB  
Article
Space Vector Modulation Methods with Modified Zero Vector Distribution for Electrical Vehicle Drives with Six-Phase Induction Motor Operating Under Direct Field-Oriented Control
by Grzegorz Tarchała and Jacek Listwan
Energies 2025, 18(12), 3122; https://doi.org/10.3390/en18123122 - 13 Jun 2025
Viewed by 292
Abstract
This paper presents a Space Vector Modulation (SVM) method with a novel zero vector distribution system for electrical vehicle drives with a six-phase induction motor working under the Direct Field-Oriented Control (DFOC) method. Different SVM methods are described and compared, and a new [...] Read more.
This paper presents a Space Vector Modulation (SVM) method with a novel zero vector distribution system for electrical vehicle drives with a six-phase induction motor working under the Direct Field-Oriented Control (DFOC) method. Different SVM methods are described and compared, and a new approach with long vectors only and a special zero vector distribution, that compensates for the third harmonic component is proposed. The DFOC method is described and the influence of the applied modulation method on six-phase motor currents is shown. Results of our experimental studies on the DFOC method are presented and discussed. The proposed modulation method for a six-phase Voltage Source Inverter can be applied in fault-tolerant electrical vehicles. Full article
(This article belongs to the Special Issue Drive System and Control Strategy of Electric Vehicle)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop