WEVJ MDPI

27/11/2025

YOLOv5s-F enables real-time small target detection on highways via lightweight FasterNet backbone, dedicated 160×160 layer, and Focal EIoU loss. Achieves 32 FPS on embedded devices with higher accuracy.

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To address the challenges of real-time monitoring via highway vehicle-mounted cameras—specifically, the difficulty in detecting distant pedestrians and vehicles in real time—this study proposes an enhanced object detection algorithm, YOLOv5s-F. Firstly, the FasterNet network structure is adopted...

27/11/2025

⚡ Editor’s Choice: Comparison of EV Fast Charging Protocols

Fast charging is crucial for EV adoption, but it can strain the grid and affect battery life. This study explores innovative sinusoidal half-wave DC and pulsed charging methods for lithium-ion batteries, showing how these protocols can improve efficiency and reduce battery degradation over 250 cycles. A promising step toward smarter, longer-lasting fast charging!

Read more: https://brnw.ch/21wXShw

In electric vehicle fast charging systems, it is important to minimize the effect of fast charging on the grid and it is also important to operate the charging system at high efficiencies. In order to achieve these objectives, in this paper, a sinusoidal half-wave DC current charging protocol and a ...

26/11/2025

⚡ Editor’s Choice: Flexibility Potential of Smart Charging Electric Trucks and Buses

Did you know that electric trucks and buses could provide up to 23 GW of flexibility to the energy system in Germany by 2040? This study explores how smart charging of heavy-duty electric vehicles can help balance the grid, reduce electricity costs for depots, and support a cleaner energy transition.

Read more: https://brnw.ch/21wXQb9

In addition to passenger vehicles, battery-electric trucks and buses could offer substantial flexibility to the energy system. Using a Bass diffusion model, we extrapolated the unidirectional charging needs and availability of trucks in five of eleven typical applications, as well as city buses, for...

26/11/2025

This study develops a bilevel optimization model for planning EV battery swapping and charging stations, jointly minimizing system cost and user service time.

The rapid growth of electric vehicles (EVs) has significantly increased the demand for charging infrastructure, posing a challenge in balancing charging demand and infrastructure supply. The development of battery swapping and charging stations (BSCSs) is crucial for addressing these challenges and ...

25/11/2025

In this study, we present a sensitivity-stratified multi-objective optimization method to enhance the electromagnetic performance of IPM synchronous motors. By stratifying multiple rotor structure parameters based on sensitivity and applying tailored analysis and optimization methods to each stratum, we achieved dual optimization goals: boosting the fundamental amplitude of air gap magnetic flux density and reducing total harmonic distortion. Additionally, our analysis of demagnetization conditions improved the demagnetization resistance of permanent magnets.
This approach effectively tackled the challenges of complex parameter interdependencies and magnetic field complexity in IPM motor design, leading to significant electromagnetic performance improvements. The optimized motor demonstrates increased fundamental amplitude of air gap magnetic flux density, reduced harmonic distortion, enhanced demagnetization resistance, and improved average output torque with decreased torque ripple under rated conditions. These advancements provide new insights and methods for high-performance IPM synchronous motor design and optimization, offering great significance for enhancing motor performance in applications such as electric vehicles.

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In addressing the challenges posed by the numerous rotor structure parameters and the difficulty in analyzing the air gap magnetic field distribution in interior permanent magnet (IPM) motors, and to enhance the performance of automotive IPM synchronous motors, this paper proposes a multi-objective ...

25/11/2025

🚙This paper addresses the adoption of electric vehicles in the transportation sector by proposing the use of electric heavy-duty trucks for logistics and distribution of large prefabricated building components. Our approach seeks to tackle the high total costs and significant energy waste associated with traditional transportation methods. We focus on a multi-to-multi distribution mode and construct a two-level optimization model. The upper-level model allocates demand points effectively, while the lower-level model optimizes the selection of road network nodes and charging stations along delivery routes. It also dynamically adjusts charging timing and volume based on real-time power conditions. To enhance performance, we design a two-level multi-objective evolutionary algorithm grounded in Pareto theory, which simultaneously optimizes distribution costs and coordinates path planning and charging strategies. Comparative experiments indicate that our algorithm improves both accuracy and quality over traditional single-level and multi-stage models. Additionally, the dynamic charging strategy proposed reduces total distribution costs by approximately 15.83% when compared to a full-charge capacity strategy. These findings demonstrate the effectiveness of our model and algorithm in optimizing logistics and provide feasible solutions for implementing electric vehicles in engineering logistics.

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To align with the adoption of electric vehicles in the transportation sector, this paper proposes the use of electric heavy-duty trucks for the logistics and distribution of large prefabricated building components. This approach aims to address the problems of high total costs and significant energy...

21/11/2025

🚦 How can we make highway–rail crossings safer?

Our latest study introduces an Explainable AI (XAI) framework combining XGBoost and SHAP to uncover the key factors affecting crash severity at highway–rail grade crossings.
Key findings: speed, driver age, traffic exposure, and the dangerous synergy of wet roads + poor lighting. These insights can guide adaptive safety measures and smarter infrastructure planning.

Read more: https://brnw.ch/21wXI6e

Improving road safety is a fundamental goal of Intelligent Transportation Systems (ITS). However, the complex interplay of factors in accident-prone scenarios, such as highway–rail grade crossings, poses significant challenges for conventional analysis. This paper addresses this gap by proposing a...

21/11/2025

🔋 How long will your EV battery last?

Our latest study proposes a Particle Swarm Optimized multi-model framework for predicting the Remaining Useful Life (RUL) of lithium-ion batteries using domain-driven feature engineering. LSTM achieved R² = 0.93, showing high accuracy in RUL prediction.

Check it out here: https://brnw.ch/21wXHJ1

With respect to battery management and safe operation and maintenance scheduling of electric vehicles (EVs), it is very important to predict the remaining useful life (RUL) of lithium-ion batteries (LIBs). Accurate prediction of RUL can bring secure working conditions, avert internal and external fa...

20/11/2025

Emotional utility boosts repurchase, while unmet environmental/social expectations reduce it. Findings key to accelerating EV adoption and sustainable transportation.

The global automotive industry’ s rapid transformation has led to electric vehicles (EVs) capturing a significant market share as a sustainable transportation option. To sustain this growth, it is crucial to not only attract new users but also retain existing ones through repurchases. This decisio...

20/11/2025

Our paper models EV battery swapping as a Cournot oligopoly, showing how a few operators can shape market equilibrium. Extending to a dual-market, firms can boost profits by balancing swaps with grid sales, vital for EV growth & energy transition.

This research contributes to understanding the emerging economics of large-scale EV infrastructure, key to sustainable mobility and energy transition. 🌍⚡

✔️https://brnw.ch/21wXEGe

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The global electric vehicle (EV) market has experienced sustained growth over the last decade; however, adoption within the commercial EV segment remains comparatively sluggish. This disparity is driven by three primary factors: the intrinsic limitations of lithium-ion battery chemistry, which impos...

19/11/2025

EV interiors are evolving: elegant, innovative, and eco-friendly features reshape consumer perceptions, highlighting sustainability in future mobility.

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Electric vehicles now play a critical and promising role in the automotive industry. This study presents how electric car interiors innovatively appeal to consumers’ needs, influencing their preference for interior design based on essential features. It investigates why consumers prefer the interi...

19/11/2025

🌍 Mark Your Calendars!

We are thrilled to announce that the 12th World Sustainability Forum (WSF-12) will be held from 21–24 August 2026 in Hong Kong, China!

Building on the success and the prestige of previous editions, WSF-12 will bring together global experts, policymakers, and innovators to share the latest research, solutions, and strategies driving a more sustainable and resilient future for a greener planet.

🔗 Learn more on our official website:
https://brnw.ch/21wXDk5

Don’t miss this opportunity to present your research, connect with leaders in sustainability, and contribute to the dialogue shaping our planet’s future.

We look forward to welcoming you to Hong Kong next year! 🌱