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Next-Generation Power Electronics and Charging Technologies for Electric Vehicles
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Next-Generation Power Electronics and Charging Technologies for Electric Vehicles

A special issue of Vehicles (ISSN 2624-8921).

Deadline for manuscript submissions: 20 July 2026 | Viewed by 2768

Special Issue Editors

Dr. Jingfang Wang

E-Mail Website
Guest Editor
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
Interests: power quality management for EV charging stations power converter; optimized design of magnetic devices
Dr. Yuefeng Liao

E-Mail Website
Guest Editor
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
Interests: isolated DC-DC converters for high-power EV charging applications; advanced control of power converter
Dr. Chenwei Ma

E-Mail Website
Guest Editor
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China
Interests: permanent magnet motor drive control for electric vehicles; predictive control; fault diagnosis

Special Issue Information

Dear Colleagues,

This Special Issue, titled “Next-Generation Power Electronics and Charging Technologies for Electric Vehicles”, aims to provide a comprehensive platform for researchers, engineers, and industry practitioners to present the latest advancements in power electronics and charging solutions for electric vehicles (EVs). This Special Issue welcomes high-quality submissions covering, but not limited to, high-efficiency charging converters based on wide-bandgap semiconductor devices, advanced charging infrastructures, power quality of charging equipment, wireless power transfer systems, bidirectional and fast-charging technologies, thermal management, control strategies, and integration with renewable energy sources. Contributions covering system-level optimization, interoperability, standardization, and practical implementation challenges are also welcome. This Special Issue seeks to bring together cutting-edge research and practical innovations to advance the development and application of next-generation EV power electronics and charging technologies.

Topics of interest include, but are not limited to, the following areas:

  1. Energy-efficient electric drivetrain design and control;
  2. Thermal management and reliability of power electronic devices and systems;
  3. Thermal runaway prediction and management of traction batteries;
  4. Advanced charging infrastructures and smart charging strategies;
  5. Wireless power transfer systems for electric vehicles;
  6. Bidirectional and fast-charging technologies, including vehicle-to-grid (V2G) and grid-to-vehicle (G2V) applications;
  7. Control strategies, modeling, and optimization of EV charging systems;
  8. Power quality of charging facilities/systems;
  9. Integration with renewable energy sources and energy storage systems.

We invite researchers, practitioners, and stakeholders from academia, industry, and government agencies to submit original research articles and review papers that highlight the latest advancements and best practices in this field.

Dr. Jingfang Wang
Dr. Yuefeng Liao
Dr. Chenwei Ma
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 250 words) can be sent to the Editorial Office for assessment.

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. Vehicles 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 1800 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 vehicles (EVs)
  • power electronic converters
  • thermal management
  • battery safety
  • smart charging
  • wireless power transfer
  • bidirectional charging / V2G / G2V
  • control strategies and modeling
  • power quality
  • renewable energy integration
  • energy storage systems

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  • 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 (4 papers)

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Research

13 pages, 4162 KB  
Article
Adaptive Virtual-Reactance-Based Fault-Current Limiting Method for Grid-Forming Converters in EV Charging Stations
by Hongyang Liu and Zhifei Chen
Vehicles 2026, 8(3), 65; https://doi.org/10.3390/vehicles8030065 - 19 Mar 2026
Viewed by 325
Abstract
To satisfy the requirements of voltage support and fault-current limitation for electric-vehicle (EV) charging stations connected to weak distribution networks, an increasing number of charging infrastructures are adopting grid-forming (GFM) converters and vehicle-to-grid (V2G) control strategies. Under AC short-circuit faults and voltage-sag conditions, [...] Read more.
To satisfy the requirements of voltage support and fault-current limitation for electric-vehicle (EV) charging stations connected to weak distribution networks, an increasing number of charging infrastructures are adopting grid-forming (GFM) converters and vehicle-to-grid (V2G) control strategies. Under AC short-circuit faults and voltage-sag conditions, limiting the fault current injected by the converter is essential to reduce overcurrent risk to power semiconductor devices. For this, an adaptive virtual-impedance-based low-voltage ride-through (LVRT) method is proposed for GFM converters in EV charging stations. First, an overcurrent grading criterion is constructed based on real-time current measurements. In the moderate-overcurrent region, an adaptive virtual reactance is introduced to achieve soft current limiting. In the severe-overcurrent region, hard current limiting is implemented by further increasing the virtual reactance and blocking overcurrent bridge arm. In addition, a virtual-reactance recovery mechanism is designed to ensure smooth post-fault restoration. Based on an RCP + HIL platform, experiments are conducted to validate the proposed fault current-limiting method. Experiment results demonstrate that the proposed method can rapidly suppress fault current, maintain voltage-support capability, and shorten post-fault restoration time. Full article
(This article belongs to the Special Issue Next-Generation Power Electronics and Charging Technologies for Electric Vehicles)
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21 pages, 2609 KB  
Article
An Adaptive Full-Order Sliding-Mode Observer Based-Sensorless Control for Permanent Magnet Synchronous Propulsion Motors Drives
by Shengqi Huang, Yuqing Huang, Le Wang, Lei Shi and Junwu Zhang
Vehicles 2026, 8(2), 34; https://doi.org/10.3390/vehicles8020034 - 7 Feb 2026
Viewed by 603
Abstract
In electric vehicle and marine propulsion applications, the stable operation of permanent-magnet synchronous motor (PMSM) drive systems relies on accurate rotor position information. Such information is typically obtained from position sensors, which are prone to high temperature, humidity, vibration, and electromagnetic interference, leading [...] Read more.
In electric vehicle and marine propulsion applications, the stable operation of permanent-magnet synchronous motor (PMSM) drive systems relies on accurate rotor position information. Such information is typically obtained from position sensors, which are prone to high temperature, humidity, vibration, and electromagnetic interference, leading to elevated failure rates; moreover, sensor installation introduces additional interfaces and wiring, thereby reducing system reliability. To address these issues, this paper proposes a sensorless control method based on an adaptive full-order sliding-mode observer (SMO). The proposed method employs the SMO output as the observer feedback correction term rather than the estimated back EMF, thereby avoiding substantial high-frequency noise. Furthermore, an S-shaped nonlinear function is designed to replace the conventional switching function, mitigating high-frequency chattering when the system operates in sliding mode; an adaptive sliding-mode gain function is designed, the sliding-mode gain and the boundary-layer thickness are adaptively tuned as a function of motor speed, which effectively enhances the back EMF estimation accuracy over a wide operating-speed range. The effectiveness of the proposed method is validated on a 2.3-kW PMSM experimental platform. Full article
(This article belongs to the Special Issue Next-Generation Power Electronics and Charging Technologies for Electric Vehicles)
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19 pages, 4811 KB  
Article
Research on Structure and Electromagnetic Properties of a Dual-Channel Coupled Radial Magnetic Field Resolver
by Hao Wang, Jundi Wang, Hong Chen and Changchao Li
Vehicles 2026, 8(1), 18; https://doi.org/10.3390/vehicles8010018 - 13 Jan 2026
Viewed by 323
Abstract
This paper presents a kind of dual-channel coupled radial magnetic field resolver (DCCRMFR). The exciting winding and signal winding of this resolver adopt the structure of orthogonal phase. The number of turns and distribution of the four phase signal winding have been designed. [...] Read more.
This paper presents a kind of dual-channel coupled radial magnetic field resolver (DCCRMFR). The exciting winding and signal winding of this resolver adopt the structure of orthogonal phase. The number of turns and distribution of the four phase signal winding have been designed. The rotor has a double-wave magnetic conductive material structure. The variable reluctance mechanism between the stator and the rotor is derived by analytical method, and the feasibility of changing the coupling area for variable reluctance is obtained. The inductance of DCCRMFR was theoretically derived through the winding function method and combined with the finite element simulation method to obtain the inductance variation law and verify the correctness of the resolver design. Then simulation analysis was conducted on the output signal of DCCRMFR to extract the total harmonic distortion (THD) of the envelope of the electromotive force (EMF) output from the signal winding. Taking THD as the optimization objective, the optimized DCCRMFR simulation model is obtained by analyzing the air-gap length between the stator and the rotor and the thickness ratio of rotor. Finally, experimental measurements were conducted on a prototype model of a two pole pairs DCCRMFR, and the measurement results were compared and analyzed with simulation results to verify the correctness of the structural design and optimization of this DCCRMFR. Full article
(This article belongs to the Special Issue Next-Generation Power Electronics and Charging Technologies for Electric Vehicles)
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20 pages, 2912 KB  
Article
Prediction of Spatiotemporal Distribution of Electric Vehicle Charging Load Considering Transportation Networks and Travel Behaviors
by Yuansheng Liu, Ke Liu, Yindong Xiao, Yuhang Xie and Jianbo Yi
Vehicles 2025, 7(4), 146; https://doi.org/10.3390/vehicles7040146 - 30 Nov 2025
Viewed by 723
Abstract
As typical dynamic loads, electric vehicles (EVs) introduce significant uncertainty into distribution network operations due to the randomness of their travel behavior and charging demand. To achieve precise spatiotemporal forecasting of charging loads, this paper constructs a multi-dimensional transportation network model that accounts [...] Read more.
As typical dynamic loads, electric vehicles (EVs) introduce significant uncertainty into distribution network operations due to the randomness of their travel behavior and charging demand. To achieve precise spatiotemporal forecasting of charging loads, this paper constructs a multi-dimensional transportation network model that accounts for dynamic road impedance factors and introduces a unit-distance energy consumption calculation method based on road impedance. By integrating the division of urban multifunctional zones and differentiated state-of-charge (SOC) threshold distributions across various EV types, a mapping model between travel chains and charging behaviors is established. Subsequently, large-scale travel and charging events are generated using an origin–destination (OD) probability matrix and Monte Carlo sampling to derive the spatiotemporal distribution of regional EV charging loads. Simulation results for a representative city in southwest China show that the predicted charging loads exhibit a dual-peak pattern, with significant differences across regions and vehicle types, and align well with observed load trends, validating the effectiveness and engineering applicability of the proposed method. Full article
(This article belongs to the Special Issue Next-Generation Power Electronics and Charging Technologies for Electric Vehicles)
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