WEVJ MDPI

16/01/2026

Highly viewed paper 👀📈
This study introduces a predictive control strategy for cabin heating in fuel cell trucks, addressing one of the key challenges in heavy-duty zero-emission transport. By applying Model Predictive Control (MPC), the authors achieve significant energy savings while maintaining passenger thermal comfort, demonstrating the potential of advanced thermal management for fuel cell electric vehicles. 🚛⚡
World Electric Vehicle Journal (2025)

Fuel cell trucks are a promising solution to reduce the disproportionately high greenhouse gas emissions of heavy-duty long-haul transportation. However, unlike conventional diesel vehicles, they lack combustion engine waste heat for cabin heating. As a result, electric heaters are often employed, w...

16/01/2026

Highly viewed paper of 2025 👀📈

This study presents a dynamic path-planning method for UAV-based power inspection, combining an improved * algorithm with the Dynamic Window Approach. The proposed method significantly enhances path efficiency, obstacle avoidance, and planning , even in complex and dynamic environments. 🚁⚡

World Journal (2025)

Path planning for Unmanned Aerial Vehicles (UAVs) plays a critical role in power line inspection. In complex inspection environments characterized by densely distributed and dynamic obstacles, traditional path-planning algorithms struggle to ensure both efficiency and safety. To address these challe...

15/01/2026

🔊⚡ Notable Paper in World Electric Vehicle Journal

Horváth and Zelei explore the latest advances in Noise, Vibration, and Harshness (NVH) in electric vehicle powertrains, addressing both the strategies for improvement and the challenges faced by engineers. Their study provides valuable insights into enhancing EV comfort and performance through innovative simulation approaches.

A must-read for researchers and engineers working on EV powertrain refinement!

🔗 Read here

This study examines the management of noise, vibration, and harshness (NVH) in electric vehicle (EV) powertrains, considering the challenges of the automotive industry’s transition to electric drivetrains.

15/01/2026

🚘🔍 Highly Viewed in 2025!

Yang, Li, and Zeng provide a comprehensive review of environmental perception in autonomous driving using multi-sensor information fusion. By combining data from multiple sensors, this approach overcomes limitations like sensitivity to weather, lighting, and range, improving object detection, tracking, localization, and scene understanding. The paper also highlights sensor calibration, machine learning applications, and future challenges in autonomous systems.

A must-read for anyone advancing safe and reliable self-driving technologies!

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Environmental perception is a key technology for autonomous driving, enabling vehicles to analyze and interpret their surroundings in real time to ensure safe navigation and decision-making. Multi-sensor information fusion, which integrates data from different sensors, has become an important approa...

14/01/2026

🚗⚡ Call for Submissions: Feature Papers in Propulsion Systems and Components in Electric Vehicles

The World Electric Vehicle Journal invites researchers to submit their original research, reviews, and perspectives to this Topical Collection in the section Propulsion Systems and Components, edited by Prof. Dr. Vladimir Katic.

We welcome manuscripts on all aspects of electric vehicle drives and components, including:

✨ Drive and propulsion systems

✨ Electric motor drives and innovative electric machines

✨ Auxiliary components and sensors

✨ Vehicle motion and stability control

✨ Chassis systems for EVs

This collection aims to showcase the latest advances in efficiency, performance, and innovative designs for electric and electrified vehicles. Submitted papers will undergo standard peer review and be published open access to reach the global EV research community.

📩 Submit your manuscript today and contribute to shaping the future of electric mobility!

🔗 Submit here

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

14/01/2026

🚗🔋 Highly viewed in World Electric Vehicle Journal!

The paper “Determination of the Performance Characteristics of a Traction Battery in an Electric Vehicle” by Boris V. Malozyomov and colleagues presents a detailed mathematical model of an electric truck, including its traction battery, inverters, and asynchronous motors. The study examines battery discharge depth, charging and discharging currents, motor torque, voltage, and temperature under real driving cycles. Simulation results were validated with real-world driving data, providing valuable insights into EV battery performance and energy efficiency.

🔗 Read here

Electric vehicles are the most innovative and promising area of the automotive industry. The efficiency of a traction battery is an important factor in the performance of an electric vehicle. This paper presents a mathematical model of an electric truck, including modules for the traction battery to...

13/01/2026

🔊 Notable paper in WEVJ

Simulating Noise, Vibration, and Harshness Advances in Electric Vehicle Powertrains: Strategies and Challenges”
by Horváth & Zelei, World Electr. Veh. J. 2024

This study reviews NVH (Noise, Vibration, Harshness) challenges in EV powertrains, highlighting simulation strategies to enhance ride comfort and vehicle performance. A must-read for EV engineers and researchers!

🔗 https://brnw.ch/21wZ300

This comprehensive systematic review explores the multifaceted impacts of electric vehicle (EV) adoption across technological, environmental, organizational, and policy dimensions. Drawing from 88 peer-reviewed articles, the study addresses a critical gap in the existing literature, which often isol...

13/01/2026

⚡ Highly cited 2024 paper

Electric Vehicle Adoption: A Comprehensive Systematic Review of Technological, Environmental, Organizational and Policy Impacts
by Zaino et al., World Electr. Veh. J. 2024

This review explores the holistic impacts of EV adoption:

⚡ Technological advances in batteries & energy storage

🌱 Environmental benefits, including GHG reduction

🏢 Organizational changes in fleet & logistics management

📜 Policy incentives & infrastructure driving EV uptake

A must-read for anyone interested in sustainable transportation and global climate goals.

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This comprehensive systematic review explores the multifaceted impacts of electric vehicle (EV) adoption across technological, environmental, organizational, and policy dimensions. Drawing from 88 peer-reviewed articles, the study addresses a critical gap in the existing literature, which often isol...

12/01/2026

⚡ Notable paper in World Electric Vehicle Journal

“Design of a Robust Controller Based on Barrier Function for Vehicle Steer-by-Wire Systems”
by Husain et al., World Electr. Veh. J. 2024

This study presents a robust control strategy using barrier functions for steer-by-wire systems, enhancing safety and performance in electric vehicles by ensuring reliable steering under varying conditions.

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In this research paper, a recent robust control scheme was proposed and designed for a VSbW (vehicle steer-by-wire) system.

12/01/2026

🚗🤖 Highly cited paper (2024)

This study introduces a novel deep learning domain adaptation approach for object detection that combines background subtraction with a modified YOLOv4, reducing the need for manual data labeling. The method improves detection accuracy while remaining computationally efficient—ideal for intelligent transportation systems and autonomous driving.

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Moving object detection is a vital research area that plays an essential role in intelligent transportation systems (ITSs) and various applications in computer vision.

09/01/2026

Editors’ Choice: Cost Minimization for Charging Electric Bus Fleets

This paper introduces a novel approach to reduce the monthly charging costs of battery electric bus fleets while respecting route and operational constraints. The methodology considers variable charging rates, daytime vs. overnight charging, and infrastructure limitations, offering a practical strategy for transit authorities to electrify fleets without costly grid upgrades.

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

Recent attention for reduced carbon emissions has pushed transit authorities to adopt battery electric buses (BEBs). One challenge experienced by BEB users is extended charge times, which create logistical challenges and may force BEBs to charge when energy is more expensive. Furthermore, BEB chargi...

09/01/2026

🔊This paper presents an efficient approach for improving object detection performance under low-quality visual conditions, balancing accuracy and computational efficiency for real-world intelligent transportation systems.

Check for more 👉 https://brnw.ch/21wYWIU
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