Was ist die Webseite?

WEVJ MDPI

Startseite
Schweiz
Basel
WEVJ MDPI

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

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.

25/12/2025

Latest Publication: Evaluating the Potential of Sodium-Ion Batteries for Low Voltage Mobility

This paper investigates the prospects of sodium-ion batteries (SIBs) as an alternative to lithium iron phosphate (LFP) batteries for low-voltage automotive applications (12–48 V). SIBs offer advantages in power density, lifespan, cold-temperature performance, integration, cost, and sustainability, making them a promising solution for conventional powertrain architectures. The study evaluates low-voltage SIB prototypes developed by IAV GmbH and partners, providing insights into their potential to reduce carbon emissions and support future automotive electrification.

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

The automotive industry is under pressure to reduce greenhouse gas emissions.

25/12/2025

Editor’s Choice: Neural Sliding Mode Control of a Buck-Boost Converter Applied to a Regenerative Braking System for Electric Vehicles

Discover how advanced neural network control is boosting the efficiency of regenerative braking in electric vehicles! This study showcases a neural sliding mode controller that outperforms traditional methods, enhancing battery state-of-charge and energy recovery. Dive into the full paper here

This paper presents the design and simulation of a neural sliding mode controller (NSMC) for a regenerative braking system in an electric vehicle (EV). The NSMC regulates the required current and voltage of the bidirectional DC-DC buck–boost converter, an element of the auxiliary energy system (AE...

24/12/2025

Editor’s Pick: Systematic Evaluation of Possible Maximum Loads Caused by Electric Vehicle Charging and Heat Pumps and Their Effects on Common Structures of German Low-Voltage Grids

Curious how the rise of electric vehicles and heat pumps could impact Germany’s power grids? This Editor’s Choice paper dives deep into maximum load scenarios and grid resilience – explore the full study here

In this paper, we present a comprehensive assessment of the effects of residential loads, electric vehicles (EVs), and electric heat pumps (HPs) on low-voltage (LV) grids in urban, suburban, and rural areas of Germany.

23/12/2025

Development and application of a PROMETHEE-based Societal Optimisation Index to rank 11 eBRT innovations on social risks and benefits, guiding planners towards more inclusive, sustainable .

This paper develops and applies an ex-ante methodological framework to assess the societal optimisation of eBRT innovations within the Horizon Europe eBRT2030 project, using Multi-Criteria Decision Analysis (MCDA) and the PROMETHEE method. The study evaluates 11 eBRT innovations to be deployed in fi...

22/12/2025

The paper proposes a real-time strategy that switches between the best GES-based strategies and optimizes complex energy management systems in vehicles, increasing hydrogen fuel economy.

✔️

The controller of the energy management system must be capable of meeting the rapid and dynamic demands of fuel cell electric vehicles (FCEVs) without compromising its performance and durability.

22/12/2025

In high-income countries, the share of electric vehicles is found to reduce ; however, increases in annual sales may raise production-related emissions in the short term.

🧷

The increasing atmospheric carbon dioxide (CO2) emissions are widely recognized as the primary driving force behind the phenomenon of global warming. Considering environmental concerns and the depletion of fossil fuel reserves, the use of electric vehicles (EVs) in transportation has emerged as one ...

Adresse

Basel

Webseite

https://www.mdpi.com/journal/wevj

Benachrichtigungen

Lassen Sie sich von uns eine E-Mail senden und seien Sie der erste der Neuigkeiten und Aktionen von WEVJ MDPI erfährt. Ihre E-Mail-Adresse wird nicht für andere Zwecke verwendet und Sie können sich jederzeit abmelden.