WEVJ MDPI

04/07/2025

📈 Highly Viewed Article in World Electric Vehicle Journal (WEVJ)

“Data-Driven Modeling of Electric Vehicle Charging Sessions Based on Machine Learning Techniques” by Raymond O. Kene and Thomas O. Olwal explores how predictive modeling can help utilities and planners manage the rising electricity demand caused by EV adoption.

Highlights:
⚡ Analyzed real-world EV charging data
🤖 Applied ML models including neural networks, linear SVM, and fine tree regression
📊 Demonstrated accurate forecasting of EV energy consumption
🔌 Proposed a grid-constrained utility function to optimize load management

This work contributes to the future of smart, data-driven EV infrastructure.

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The increased demand for electricity is inevitable due to transport sector electrification. A major part of this demand is from electric vehicle (EV) charging on a large scale, which is now a growing concern for the grid power distribution system. The lack of insight into grid energy demand by EVs m...

04/07/2025

Notable Papers in the Field of Deep Learning Applied in Electric Vehicle

https://brnw.ch/21wTTxL

03/07/2025

🔎 Editor’s Choice | World Electric Vehicle Journal

📄 Development of a New Electric Vehicle Post-Crash Fire Safety Test in Korea
By Jeongmin In, Jaehong Ma, and Hongik Kim
📌 https://brnw.ch/21wTSj9

As EV adoption rises, so does the importance of post-crash fire safety. This study proposes a new safety test concept tailored for EVs—addressing real-world risks from both high-speed frontal collisions and low-speed impacts to battery packs.

This article is part of the Special Issue EVS37—International Electric Vehicle Symposium and Exhibition (Seoul, Korea).

Recent fire incidents following electric vehicle (EV) collisions have been increasing rapidly in Korea, corresponding to the growing distribution of EVs. While the overall number of EV fires is lower compared to those involving internal combustion engine (ICE) vehicles, EV fires can lead to more sev...

02/07/2025

🚗 Highly Viewed in World Electric Vehicle Journal!

🌎 Hybrid Electric Vehicles: A Strategy for Reducing Fuel Consumption and Emissions in Latin America
by Juan C. Castillo, Andrés F. Uribe, Juan E. Tibaquirá, Michael Giraldo & Manuela Idárraga

📊 How much can hybrid vehicles reshape Latin America’s transportation landscape?
This in-depth study models emission reductions, energy efficiency, and market projections through 2040 using Colombian fleet data.

🔑 Key insights:
✅ Full and plug-in hybrids could cut energy use by 33.8% by 2040
✅ Mild hybrids (MHEVs) show limited benefit in emissions reduction
✅ Accelerated adoption is essential for real environmental impact
✅ Combines Gompertz & logistic models for robust forecasting

This work supports evidence-based policy for a cleaner, more efficient future in emerging markets.

📖 Read the article:

The vehicle fleets in Latin America are increasingly incorporating hybrid electric vehicles due to the economic and non-economic incentives provided by governments aiming to reduce energy consumption and emissions in the transportation sector. However, the impacts of implementing hybrid vehicles rem...

01/07/2025

🔆 Editor’s Choice: A Comparative Life Cycle Analysis of Battery Thermal Management Systems for Electric Vehicles 🔆

This insightful study by Michele Monticelli et al. compares the environmental impact of two Battery Thermal Management Systems (BTMS): the traditional active cold plate system vs. the innovative passive Loop Heat Pipe (LHP) system.

Key highlights:
⚡ The passive LHP system operates without external power or moving parts, significantly reducing energy use and emissions.
♻️ Using stainless steel instead of copper further cuts environmental impact by over 50%.
📉 The LHP design also reduces overall BTMS mass by nearly 10 kg, enhancing sustainability without sacrificing performance.

This research points to promising paths for greener, more efficient electric vehicle technologies.

Read the full article:

This study extends beyond conventional Battery Thermal Management System (BTMS) research by conducting a Life Cycle Analysis comparing the environmental impacts of two technologies: a traditional active cold plate system and an innovative passive Loop Heat Pipe (LHP) system. While active cold plate ...

27/06/2025

🚗🔒 Highly Accessed Paper Alert!

Explore the future of connected vehicle security with this breakthrough study:

“Connected Vehicles Security: A Lightweight Machine Learning Model to Detect VANET Attacks” by Muawia A. Elsadig et al.

The authors introduce a cutting-edge, lightweight Random Forest model that achieves 99.8% accuracy in detecting VANET cyberattacks — outperforming existing methods with lower processing costs. This advancement is crucial for safer and smarter vehicular networks.

Discover how machine learning can protect the Internet of Vehicles from cyber threats!

Read more:

Vehicular ad hoc networks (VANETs) aim to manage traffic, prevent accidents, and regulate various parts of traffic. However, owing to their nature, the security of VANETs remains a significant concern. This study provides insightful information regarding VANET vulnerabilities and attacks. It investi...

27/06/2025

🚗 Editors’ Choice Paper: Are We Testing Vehicles the Right Way? 🚗

Standard driving cycles have long been the cornerstone of vehicle performance testing, but with the rise of electrified and connected vehicles, their limitations are more apparent than ever.

This insightful paper by Elia Grano et al. explores how hybrid, plug-in hybrid, and ADAS-equipped vehicles challenge traditional testing methods. The authors discuss the growing gap between lab results and real-world performance, highlighting the urgent need for updated protocols that better reflect today’s automotive technologies.

A must-read for researchers, regulators, and industry stakeholders aiming to improve vehicle testing accuracy and sustainability!

🔗 Read the full article:

Standard driving cycles have been the method of choice for testing vehicle performance for decades, both in research and at the regulatory level. These methodologies offer the significant advantage of test reproducibility, allowing for consistent comparisons between vehicles. However, their inabilit...

26/06/2025

❄️🚗 Boost EV comfort and range!

Check out the latest from World Electric Vehicle Journal:

“Optimising Ventilation Strategies for Improved Driving Range and Comfort in Electric Vehicles” by Matisse Lesage et al.

This study uses advanced simulations on the Renault ZOE to find energy-efficient HVAC settings that balance thermal comfort, CO₂ levels, and power consumption. The innovative opti-CO₂ mode increases EV driving range by up to 26 km while ensuring a comfortable and safe cabin environment.

A game-changer for electric vehicle HVAC design and energy efficiency!

Read more:

A car cabin’s small volume makes it vulnerable to discomfort if temperature, humidity, and carbon dioxide levels are poorly regulated. In electric vehicles, the HVAC system draws energy from the car battery, reducing the driving range by several dozen kilometres under extreme conditions. A 1D simu...

26/06/2025

🚗⚡ The Rise and Recent Decline of Tesla’s Share of the U.S. Electric Vehicle Market

This insightful study by Chang (Charo) Liu, Stella G. Boothman, and John D. Graham takes a deep dive into Tesla’s remarkable journey as a pioneer in the U.S. EV market — from its early dominance to its recent market share challenges.

Using a mix of qualitative and statistical analysis, the authors explore how Tesla’s first-mover advantage was challenged by increasing competition, evolving public policies, and strategic decisions by Tesla’s leadership. The article also discusses future opportunities and strategies for both Tesla and other automakers navigating the fast-evolving EV landscape.

A must-read for anyone interested in market dynamics, innovation, and the future of sustainable transport!

🔗 Read more:

This article examines the rise and recent decline of Tesla in the U.S. electric vehicle market. Using qualitative, semi-quantitative, and statistical methods, the article traces how Tesla acquired a first-mover advantage and how second movers, both established automakers and start-ups, responded to ...

25/06/2025

🚛⚡ New from World Electric Vehicle Journal!

“Electric Long-Haul Trucks and High-Power Charging: Modelling and Analysis of the Required Infrastructure in Germany” by Tobias Tietz et al. tackles the challenge of decarbonizing heavy goods transport through battery electric trucks (BETs) and high-power charging (HPC).

Using advanced simulations, the study reveals the urgent need for strategic planning of charging infrastructure—including both HPC and overnight low-power solutions—to meet growing demand and comply with EU regulations. This work offers critical insights for policymakers and industry leaders shaping the future of sustainable freight transport.

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

Heavy goods transportation is responsible for around 27% of CO2 emissions from road transport in the EU and for 5% of total CO2 emissions in the EU. The decarbonization of long-distance transport in particular remains a major challenge. The combination of battery electric trucks (BETs) with on-route...

25/06/2025

⚡ How to predict EV charging when it’s so unpredictable?
This new study uses probabilistic forecasting to help grids manage EV loads smarter and safer. Real data, real impact! 🔋

Read here: https://brnw.ch/21wTFay

The transition to electric vehicles (EVs) presents challenges and opportunities for the management of electrical networks. This paper focuses on developing and evaluating probabilistic forecasting algorithms to understand and predict EV charging behaviours, crucial for optimising grid operations and...

24/06/2025

🔋 New review on State-of-Charge estimation for EVs!
From simple counting to AI-driven models—discover which methods perform best.

Read here:

Continuous and accurate state-of-charge estimation is essential for optimal reliability and performance in electric vehicle battery management systems. This work reviews state-of-charge estimation strategies, from straightforward methods like lookup tables and ampere-hour counting to advanced mathem...