WEVJ MDPI

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

Proposes a rear-axle NMPC for reverse path tracking of mining articulated vehicles, achieving
10/12/2025

Proposes a rear-axle NMPC for reverse path tracking of mining articulated vehicles, achieving

Mining articulated vehicles (MAVs) are widely used as primary transportation equipment in both underground and open-pit mines. These include various machines such as Load–Haul–Dump machines and mining trucks. Path tracking control for MAVs has been an important research topic. Most current resea...

Our new sliding mode control strategy, optimized by the Sparrow Search Algorithm, significantly reduces torque ripple an...
10/12/2025

Our new sliding mode control strategy, optimized by the Sparrow Search Algorithm, significantly reduces torque ripple and accelerates response in Switched Reluctance Motors, offering a high-performance, rare-earth-free alternative for electric vehicles.

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...

Advanced self-attention algorithm enhances voxel-based 3D object detection, delivering 2.49% accuracy gains while mainta...
09/12/2025

Advanced self-attention algorithm enhances voxel-based 3D object detection, delivering 2.49% accuracy gains while maintaining 22.3 FPS for autonomous vehicles.⚡🔋🚖

https://brnw.ch/21wYdnm

3D object detection is a fundamental task in autonomous driving. In recent years, voxel-based methods have demonstrated significant advantages in reducing computational complexity and memory consumption when processing large-scale point cloud data. A representative method, Voxel-RCNN, introduces Reg...

Driven by carbon neutrality and peak carbon policies, hydrogen energy, due to its zero-emission and renewable properties...
09/12/2025

Driven by carbon neutrality and peak carbon policies, hydrogen energy, due to its zero-emission and renewable properties, is increasingly being used in hydrogen fuel cell vehicles (H-FCVs). However, the high cost and limited durability of H-FCVs hinder large-scale deployment. Hydrogen internal combustion engine hybrid electric vehicles (H-HEVs) are emerging as a viable alternative. This paper provides a comprehensive comparison of H-FCVs and H-HEVs in terms of total cost of ownership (TCO) and hydrogen consumption while proposing a multi-objective powertrain parameter optimization model. First, a quantitative model evaluates TCO from vehicle purchase to disposal. Second, a global dynamic programming method optimizes hydrogen consumption by incorporating cumulative energy costs into the TCO model. Finally, a genetic algorithm co-optimizes key design parameters to minimize TCO. Results show that with a battery capacity of 20.5 Ah and an H-FC peak power of 55 kW, H-FCV can achieve optimal TCO and hydrogen consumption. However, even with advanced technology, their TCO remains higher than that of H-HEVs. H-FCVs can only become cost-competitive if the unit power price of the fuel cell system is less than 4.6 times that of the hydrogen engine system, assuming negligible fuel cell degradation. In the short term, H-HEVs should be prioritized. 🚖🔋⚡

Driven by carbon neutrality and peak carbon policies, hydrogen energy, due to its zero-emission and renewable properties, is increasingly being used in hydrogen fuel cell vehicles (H-FCVs). However, the high cost and limited durability of H-FCVs hinder large-scale deployment. Hydrogen internal combu...

Electric Vehicle Adoption in Egypt: A Review of Feasibility, Challenges, and Policy Directions The challenges of Electri...
08/12/2025

Electric Vehicle Adoption in Egypt: A Review of Feasibility, Challenges, and Policy Directions

The challenges of Electric Vehicle Adoption in Egypt include:

• infrastructure limitations
• inconsistent policies
• public skepticism.

The study proposes solutions such as:

• policy reforms
• solar-powered charging expansion
• public awareness campaigns
• local manufacturing."

Read more at:

This study evaluates the feasibility and visibility of electric vehicles (EVs) in Egypt, addressing critical research gaps and proposing actionable strategies to drive adoption.

How can EVs thrive in developing nations? This study maps the psychological, branding, and policy drivers accelerating I...
08/12/2025

How can EVs thrive in developing nations? This study maps the psychological, branding, and policy drivers accelerating Indonesia’s clean transport revolution.

Check for more:

Indonesia’s worsening air pollution and traffic emissions have thrust electric vehicles (EVs) into the spotlight, but what really drives Indonesians to make the switch?

🚀 Advanced Torque Control for Electric Hypercars!This Editor’s Choice paper explores cutting-edge FOC 4D control strateg...
05/12/2025

🚀 Advanced Torque Control for Electric Hypercars!

This Editor’s Choice paper explores cutting-edge FOC 4D control strategies for Interior Permanent Magnet Motors, pushing the limits of torque, efficiency, and stability in electric hypercars. ⚡🏎️

Key highlights:

✨Robust torque control from zero to max speed under deep flux-weakening
✨ Accounts for motor parameter variations and DC link voltage changes
✨ High-fidelity simulations using Simulink & Finite Element Models
✨Validated in hypercar load points—critical for motorsport performance

A must-read for anyone following high-performance EV powertrain innovations.

Read more: https://brnw.ch/21wY6il

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

⚡ Boosting Hydrogen Fuel Economy in FCEVs!A new study explores optimization algorithms embedded in the Engine Control Un...
05/12/2025

⚡ Boosting Hydrogen Fuel Economy in FCEVs!

A new study explores optimization algorithms embedded in the Engine Control Unit to enhance energy management in Fuel Cell Electric Vehicles (FCEVs). 🚗💨

Highlights:

💡Novel SWA_RTO strategy for real-time energy optimization

💡 Balances PEM fuel cell, battery, and ultracapacitor systems

💡 Improves hydrogen fuel efficiency and system durability

💡 Tested under European Drive Cycles for realistic performance

This research demonstrates how smart control strategies can maximize fuel economy and longevity in next-gen FCEVs.

Read more: https://brnw.ch/21wY606

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.

⚡To evaluate the compatibility between electric vehicle features and charging options for realistic journeys, a simulati...
04/12/2025

⚡To evaluate the compatibility between electric vehicle features and charging options for realistic journeys, a simulation approach is proposed, using travel data observed for trip chains in six days.
🧷

The typical ranges available for electric vehicles (EVs) may be considered by users to be inadequate when compared to long, real-life trips, and charging operations may need to be planned along journeys.

Editor’s Choice – World Electric Vehicle JournalNeural Sliding Mode Control (NSMC) takes regenerative braking in EVs to ...
04/12/2025

Editor’s Choice – World Electric Vehicle Journal

Neural Sliding Mode Control (NSMC) takes regenerative braking in EVs to the next level! ⚡🚗
A new study shows how an RHONN-based controller with Kalman filter training (EKF & UKF) outperforms traditional PI controllers, boosting battery SOC and efficiency in EVs. Robust even under noise and parameter changes.

Read more: https://brnw.ch/21wY3WN

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...

03/12/2025

Hybrid vehicle adoption in Guayaquil is still limited—but technical features matter more than price! 🚗⚡
A new study finds technology, performance, and maintenance drive purchase intentions, while financing and info gaps influence decisions.
Focus on long-term savings & reliability rather than generic sustainability messages. 🌱

Read more: https://brnw.ch/21wY3cK

👉This study develops a multi-dimensional psychological model to explain driver takeover safety in conditionally automate...
01/12/2025

👉This study develops a multi-dimensional psychological model to explain driver takeover safety in conditionally automated vehicles. Based on survey data from 385 ADS users in Shaoguan, China, the model integrates the Theory of Planned Behavior with real-world driving experience. Results show that driver attitudes, perceived behavioral control, and subjective norms significantly influence takeover intention, explaining 48.7% of its variance. Both intention and perceived control have strong direct effects on actual takeover behavior, with the full model explaining 58.3% of behavior variance. Importantly, user characteristics such as driving experience and ADS usage frequency moderate these relationships: experienced or frequent users rely more on perceived control and attitudes, while less experienced drivers are more influenced by social norms. These findings provide actionable insights for designing adaptive human–machine interfaces, developing targeted driver training programs, and enhancing safety interventions for automated driving systems. The proposed psychological approach complements traditional engineering models, offering a deeper understanding of human factors in automated driving.

🔊Check for more :

With the rapid adoption of automated driving systems, ensuring safe and efficient driver takeover has become a crucial challenge for road safety. This study introduces a novel psychological framework for understanding and predicting takeover behavior in conditionally automated vehicles, leveraging a...

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