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WEVJ MDPI, Basel (2025)

06/10/2025

🚨 Latest Publication!

Improved MNet-Atten Electric Vehicle Charging Load Forecasting Based on Composite Decomposition and Evolutionary Predator–Prey Strategy
Xiaobin Wei, Qi Jiang, Huaitang Xia & Xianbo Kong | World Electr. Veh. J. 2025, 16(10), 564
🔗 Read here

https://brnw.ch/21wWnwy

This study introduces an advanced load forecasting model for EV charging, combining composite decomposition, MNet-Atten neural networks, and evolutionary predator–prey optimization. The approach effectively reduces noise, improves convergence, and captures both local and global temporal features, achieving high prediction accuracy and modeling efficiency for smart grid management.

In the context of low carbon, achieving accurate forecasting of electrical energy is critical for power management with the continuous development of power systems. For the sake of improving the performance of load forecasting, an improved MNet-Atten electric vehicle charging load forecasting based ...

06/10/2025

⭐ Editor’s Choice! ⭐

Charging and V2G: Enhancing a Hybrid Energy Storage System with Intelligent and Bidirectionalcc
Thomas Franzelin, Sarah Schwarz & Stephan Rinderknecht | World Electr. Veh. J. 2025, 16(3), 121
🔗 Read here

https://brnw.ch/21wWno5

This study presents a novel testing environment that integrates unidirectional and bidirectional EV charging into hybrid energy storage systems. The platform enables smart charging, vehicle-to-grid (V2G) interactions, and realistic experimental setups, allowing comprehensive evaluation of EV behavior, charging strategies, and control algorithms. These findings highlight ways to enhance grid flexibility and energy system reliability.

Energy storage systems and intelligent charging infrastructures are critical components addressing the challenges arising with the growth of renewables and the rising energy demand. Hybrid energy storage systems, in particular, are promising, as they combine two or more types of energy storage techn...

03/10/2025

📈 Highly Viewed Paper!

Linear Continuous-Time Regression and Dequantizer for Lithium-Ion Battery Cells with Compromised Measurement Quality
Zoltan Mark Pinter, Mattia Marinelli, M. Scott Trimboli & Gregory L. Plett | World Electr. Veh. J. 2025, 16(3), 116
🔗 Read here
https://brnw.ch/21wWjUz

This study introduces two modular algorithms—a dequantizer and Linear Continuous-Time Regression (LCTR)—to improve measurement quality and extract accurate battery parameters even under noisy or low-quality data. The approach ensures robust and fast parameter identification for lithium-ion battery management systems, enhancing reliability across various conditions.

The conventional sliding mode control (SMC) strategy for direct torque control of switched reluctance motors suffers from severe chattering and prolonged dynamic response. Accordingly, an enhanced SMC strategy is proposed to mitigate motor chattering and suppress torque ripple. On the basis of the c...

03/10/2025

⭐ Editor’s Choice! ⭐

The Performance Enhancement of a Vehicle Suspension System Employing an Electromagnetic Inerter
Chen Luo, Xiaofeng Yang, Zhihong Jia, Changning Liu & Yi Yang | World Electr. Veh. J. 2024, 15(4), 162
🔗 Read here
https://brnw.ch/21wWjt2

This study investigates a novel electromagnetic inerter (EMI) in vehicle suspensions, combining a linear generator with a fluid inerter. Simulation results show that an optimized L4 suspension layout improves dynamic performance, reducing body acceleration and suspension workspace peaks, while maintaining handling stability. These findings highlight the potential of EMI-based suspensions for enhanced vehicle ride comfort and safety.

As a newly conceived vibration isolation element, an inerter can be implemented in different forms, and it is easily introduced in different vibration isolation scenarios. This paper focuses on a novel inerter device called an electromagnetic inerter (EMI), which combines a linear generator with a f...

02/10/2025

🚨 Latest Publication!

Direct Torque Control of Switched Reluctance Motor Based on Improved Sliding Mode Reaching Law Strategy
Qiang Ma, Liang Qiao, Zhichong Wang & Yun Hu | World Electr. Veh. J. 2025, 16(10), 548
🔗 Read here
https://brnw.ch/21wWhEY

This study introduces an enhanced sliding mode control (SMC) strategy for direct torque control of switched reluctance motors. Using sigmoid functions and parameter optimization via the sparrow search algorithm (SSA), the approach reduces motor chattering, suppresses torque ripple, and improves dynamic response across various speeds—boosting efficiency for EV propulsion systems.

The conventional sliding mode control (SMC) strategy for direct torque control of switched reluctance motors suffers from severe chattering and prolonged dynamic response. Accordingly, an enhanced SMC strategy is proposed to mitigate motor chattering and suppress torque ripple. On the basis of the c...

02/10/2025

⭐ Editor’s Choice ⭐

Design and Analysis Models with PID and PID Fuzzy Controllers for Six-Phase Drive
Roma Rinkeviciene & Brone Mitkiene | World Electr. Veh. J. 2024, 15(4), 164
🔗 Read more: https://brnw.ch/21wWhxJ

This study presents simulation models for six-phase drives using both PID and PID fuzzy controllers. Results show that while traditional PID offers reliable performance, the PID fuzzy controller provides improved robustness and faster recovery under torque disturbances. The findings highlight the potential of advanced controllers in enhancing electric drive systems for industrial and EV applications.

Due to their reliability, design and analysis models with PID and PID fuzzy controllers for six-phase drive are being applied in new areas in various industries, including transportation. First, the development of any system with multiphase motors requires an elaborate model to define the control mo...

01/10/2025

🚀 Latest Publication Alert!

Research on Thermal Failure and Prediction Methods of Lithium–Sulfur Batteries
Lu Cheng, Junshuai Lu, Bihui Jin | World Electr. Veh. J. 2025, 16(10), 555
🔗 Read here
https://brnw.ch/21wWgcv

Lithium–sulfur batteries are promising for high-energy, cost-effective storage, but overheating is a concern. This study uses a machine learning method (EneVO-MPMI) to predict thermal failures early, achieving 97% accuracy, helping improve battery safety and reliability.

Lithium–sulfur (Li-S) batteries are promising energy storage solutions due to their high density and cost-effectiveness. However, the risk of thermal failure limits their widespread use. Understanding thermal failure characteristics and developing accurate prediction methods are crucial for ensuri...

29/09/2025

Editor’s Choice: An Overview of Diagnosis Methods of Stator Winding Inter-Turn Short Faults in Permanent-Magnet Synchronous Motors for Electric Vehicles – https://brnw.ch/21wWbxP

This article provides a comprehensive overview of state-of-the-art techniques for detecting and diagnosing stator winding inter-turn short faults (ITSFs) in permanent-magnet synchronous motors (PMSMs) for electric vehicles (EVs). The review focuses on the following three main categories of diagnosti...

29/09/2025

💊 Combined Naltrexone–Bupropion Therapy for Co***ne Use & Obesity

Can a dual therapy tackle both co***ne cravings and weight gain? This case report explores promising results in a 35-year-old patient.

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Background and Clinical Significance: Co***ne use disorder (CUD) is characterized by recurrent, cue-triggered and intrusive urges to use co***ne (craving), compulsive drug-seeking despite adverse consequences, and impaired control over intake, often co-occurring with excess weight and hedonic overea...

29/09/2025

🚙As the field of electromobility continues its unprecedented evolution, the World Electric Vehicle Journal is proud to announce the establishment of 10 new journal sections. By organizing our scope into ten focused areas, we aim to foster a dynamic and inclusive platform for the scientific community, policymakers, and industry leaders.

✈️The following provides an editorial overview of these sections:Section A: Vehicle and Transportation Systems
Section B: Automated and Connected Vehicles
Section C: Charging Infrastructure and Grid Integration
Section D: Marketing, Promotion and Socio economics
Section E: Storage Systems
Section F: Propulsion Systems and Components
Section G: Power Electronics Components
Section H: Vehicle Management
Section I: Energy Supply and Sustainability

Section J: Manufacturing

👉🏼https://brnw.ch/21wWaGj

World Electric Vehicle Journal, an international, peer-reviewed Open Access journal.

26/09/2025

✨ Editor’s Choice – World Electric Vehicle Journal

“Research on the Stability Control Strategy of High-Speed Steering Intelligent Vehicle Platooning”
by Guangbing Xiao, Zhicheng Li, Ning Sun, and Yong Zhang

The paper proposes a novel control strategy, based on a virtual articulated concept, to ensure motion stability in intelligent vehicle platooning. The approach is validated through nonlinear dynamic modeling and time-domain analysis, offering valuable insights for safer intelligent transport systems.

📄 Read the full article: https://brnw.ch/21wW7Ga

Based on an investigation of how vehicle structural characteristics and system parameters influence the motion stability of high-speed steering intelligent vehicle platooning, a control strategy for ensuring motion stability is proposed. This strategy is based on a virtual articulated concept and is...

25/09/2025

🌟 Editor’s Choice 🌟

Leveraging 5G Technology to Investigate Energy Consumption and CPU Load at the Edge in Vehicular Networks
by Salah Eddine Merzougui, Xhulio Limani, Andreas Gavrielides, Claudio Enrico Palazzi, and Johann Marquez-Barja
World Electr. Veh. J. 2024, 15(4), 171

This study demonstrates how 5G and edge computing can transform intelligent transportation, revealing that CPU load and energy consumption in vehicular networks strongly depend on communication distance—insights critical for designing more efficient and adaptive systems.

🔗 Read the full article:

The convergence of vehicular communications, 5th generation mobile network (5G) technology, and edge computing marks a paradigm shift in intelligent transportation. Vehicular communication systems, including Vehicle-to-Vehicle and Vehicle-to-Infrastructure, are integral to Intelligent Transportation...

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