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WEVJ MDPI

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WEVJ MDPI

WEVJ (ISSN 2032-6653) is an international peer-reviewed open access journal published by MDPI.

08/01/2026

Editors’ Choice: Combined Electromagnetic and Mechanical Design Optimization of Interior Permanent Magnet Rotors for Electric Vehicle Drivetrains

This study presents a comprehensive optimization of IPM rotors for EV drivetrains, balancing mechanical stress and electromagnetic performance to achieve high torque density and rotor reliability at high speeds.

Check out the full paper here https://brnw.ch/21wYVgf

In many high-speed electrical machines, centrifugal forces within the rotor can be first-order constraints on electromagnetic optimization. This can be particularly acute in interior permanent magnet (IPM) machines in which magnets are usually retained entirely by the rotor core with no additional m...

08/01/2026

Latest Publication: Energy Harvesting Devices for Extending the Lifespan of Lithium-Polymer Batteries: Insights for Electric Vehicles

This study investigates integrating energy-harvesting systems in electric vehicles to prolong the lifespan of lithium-polymer (Li-Po) batteries. Using microturbine wind energy harvesters and a lab-scale EV setup, the research analyzes battery state-of-charge under varied driving conditions and evaluates the net energy recovery. Although energy gains are modest, the study highlights the potential of renewable energy integration in optimizing battery performance and promoting sustainable EV energy management.

Read the full article here https://brnw.ch/21wYVfS

This study rigorously evaluated the integration of energy-harvesting systems within electric vehicles to prolong battery service life.

07/01/2026

Editors’ Choice: Advancements in Electric Vehicle PCB Inspection: Application of Multi-Scale CBAM, Partial Convolution, and NWD Loss in YOLOv5

This paper introduces an advanced PCB inspection method for electric vehicles, combining YOLOv5 with CBAM, partial convolution, and NWD loss, achieving high accuracy and real-time defect detection, crucial for EV electronics reliability.

Read the full paper here https://brnw.ch/21wYTqg

In the rapidly evolving electric vehicle industry, the reliability of electronic systems is critical to ensuring vehicle safety and performance.

06/01/2026

Editors’ Choice: Speed Change Pattern Optimization for Improving the Electricity Consumption of an Electric Bus and Its Verification Using an Actual Vehicle

This study presents an eco-driving optimization method for electric buses, demonstrating a 10–20% improvement in electricity consumption by deriving optimal speed patterns and verifying them through real vehicle tests.

Check out the full paper here

In this study, we focused on the eco-driving of electric vehicles (EVs).

05/01/2026

Editors’ Choice: Subcooled Liquid Hydrogen Technology for Heavy-Duty Trucks

This paper explores subcooled liquid hydrogen (sLH2) as an innovative solution for heavy-duty trucks, enhancing mileage, performance, and refueling efficiency. It highlights the technical aspects, advantages, challenges, and future prospects of sLH2 for both vehicles and hydrogen refueling infrastructure.

Read more here https://brnw.ch/21wYQ1e

Subcooled liquid hydrogen (sLH2) is an onboard storage, as well as a hydrogen refueling technology that is currently being developed by Daimler Truck and Linde to boost the mileage of heavy-duty trucks, while also improving performance and reducing the complexity of hydrogen refueling stations. In t...

05/01/2026

Latest Publication: Sustainable Port Horizontal Transportation: Environmental and Economic Optimization of Mobile Charging Stations Through Carbon-Efficient Recharging

This study introduces a carbon-efficiency-focused optimization framework for port horizontal transportation, comparing Mobile Charging Stations (MCSs) with fixed charging and battery swapping systems. By integrating operational, environmental, and economic parameters, it shows how MCSs can reduce deadheading, improve profitability, and support low-carbon operations in port logistics.

Read the full article here

Electrifying port horizontal transportation is constrained by downtime and deadheading from fixed charging/swapping systems, large battery sizes, and the lack of integrated decision tools for life-cycle emissions.

31/12/2025

Editors’ Choice: Parameter Compensation for the Predictive Control System of a Permanent Magnet Synchronous Motor Based on Bacterial Foraging Optimization Algorithm

This study presents an innovative approach to enhancing permanent magnet synchronous motor (PMSM) predictive control using the bacterial foraging optimization algorithm (BFOA). By compensating for motor parameter distortions, the method improves both dynamic and static performance, ensuring more robust and efficient control.

Discover more about this work here https://brnw.ch/21wYKh4

The accurate identification of permanent magnet synchronous motor (PMSM) parameters is the foundation for high-performance driving in predictive control systems.

30/12/2025

Editors’ Choice: Towards Efficient Battery Electric Bus Operations: A Novel Energy Forecasting Framework

Explore this innovative approach to forecasting energy consumption for battery electric buses (BEBs). The study introduces a novel environment generator to predict factors like weather, passenger load, and traffic, ensuring more accurate energy predictions and efficient fleet operations. A must-read for those advancing public transport electrification.

Check the full paper here https://brnw.ch/21wYINt

As the adoption of battery electric buses (BEBs) in public transportation systems grows, the need for precise energy consumption forecasting becomes increasingly important. Accurate predictions are essential for optimizing routes, charging schedules, and ensuring adequate operational range. This pap...

30/12/2025

Latest Publication: Physics-Informed Temperature Prediction of Lithium-Ion Batteries Using Decomposition-Enhanced LSTM and BiLSTM Models

This study presents a physics-informed, data-driven framework for accurate lithium-ion battery (LIB) temperature prediction, critical for safety, longevity, and performance in electric vehicles. By decomposing temperature signals into trend, seasonal, and residual components and feeding them into sequential deep learning models, the framework captures both forward and backward thermal dynamics. The Bidirectional LSTM (BiLSTM) achieved the best performance (RMSE = 0.018 °C), significantly outperforming conventional LSTM and classical regressors like CatBoost. This hybrid approach enables real-time thermal monitoring, predictive cooling, and proactive battery management, providing a robust foundation for next-generation LIB thermal-management systems.

Read the full article here https://brnw.ch/21wYIe5

Accurately forecasting the operating temperature of lithium-ion batteries (LIBs) is essential for preventing thermal runaway, extending service life, and ensuring the safe operation of electric vehicles and stationary energy-storage systems. This work introduces a unified, physics-informed, and data...

29/12/2025

Connecting the Dots: A Comprehensive Modeling and Evaluation Approach to Assess the Performance and Robustness of Charging Networks for Battery Electric Trucks and Its Application to Germany

This is an Editors’ Choice paper! Dive into the analysis of fast-charging networks for electric trucks in Germany, exploring performance, resilience, and optimization strategies. A must-read for those interested in sustainable transport and green logistics. Check the full paper here

The successful introduction of battery electric trucks heavily depends on public charging infrastructure. But even as the first trucks capable of long-haul transportation are being built, no coherent fast-charging networks are yet available. This paper presents a methodology for assessing fast charg...

29/12/2025

Latest Publication: Research and Design of a Single-Switch Wireless Power Transfer System with Misalignment-Tolerant Characteristics

This paper introduces a single-switch wireless power transfer (WPT) system designed to maintain stable voltage and power output despite coil misalignment. Combining LCC-S and S-S compensation networks in a hybrid topology and using a grid-type flat spiral (GFSP) coil, the system achieves high misalignment tolerance along the X-axis. Experiments on a 50 W prototype confirm resonance maintenance, zero-voltage switching (ZVS), and minimal fluctuations in voltage (

To address the issue that the output voltage and power of medium- and low-power wireless power transfer (WPT) systems cannot remain constant under coil misalignment, this paper proposes a single-switch WPT system with misalignment-tolerant characteristics. Based on a single-switch topology, the syst...

26/12/2025

Editor’s Pick: Advanced Torque Control of Interior Permanent Magnet Motors for Electrical

Explore the cutting-edge of electric hypercar performance! This study presents an advanced Field-Oriented torque control strategy, optimizing torque production across all while accounting for voltage fluctuations and motor parameter changes. Perfect for motorsport applications, this approach pushes powertrains to their limits with enhanced stability and reliability. Check out the full paper here

Nowadays, electric vehicles have gained significant attention as a promising solution to the environmental concerns associated with traditional combustion engine vehicles.

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