WEVJ MDPI

04/06/2026

⚡🚗 How can transport electrification reduce emissions while remaining affordable and compatible with grid limitations?

A new study, "A Multi-Objective Framework for Cost and Carbon-Optimal Vehicle Electrification Under Grid Constraints", introduces an analytical and optimization framework for evaluating electrification strategies under real-world energy system conditions.

The authors demonstrate that EV adoption alone does not guarantee lower emissions. Factors such as renewable energy pe*******on, grid carbon intensity, charging behavior, and grid capacity constraints play a critical role in determining environmental and economic outcomes. Using multi-objective optimization, the study identifies cost-effective and carbon-efficient electrification pathways while accounting for renewable integration and peak charging demand.

📖 Read the article: https://brnw.ch/21x35oV

Electrification of road transport is widely promoted as a pathway to reduce greenhouse gas (GHG) emissions; however, its effectiveness depends critically on electricity carbon intensity, renewable energy share, charging behavior, and grid capacity constraints. This study develops a multi-objective a...

04/06/2026

🔋 Can battery swapping help accelerate the adoption of light electric vehicles?

A new study, "Stan4SWAP: Towards Efficient Standards for Light Electric Vehicle Battery Swap", explores how standardization can support battery-swapping solutions for electric two- and three-wheelers.

The authors present the European Stan4SWAP project, which analyzed current regulations and standards and developed a roadmap identifying short-, medium-, and long-term standardization needs. As light electric vehicles continue to play an important role in sustainable urban mobility, harmonized battery-swapping standards could help unlock new charging and business model opportunities.

📖 Read the article: https://brnw.ch/21x3568

Light electric vehicles within the L category are expected to play a significant role in promoting sustainable urban transport, advantageous for both society and the environment. The batteries in these vehicles are well suited for swapping, necessitating appropriate standards. This paper outlines th...

04/06/2026

Come and join our upcoming on on 🗓️ 10 June 2026 at 16:00 (CEST) to enhance your understanding of research impact and gain insights from leading professionals! Professor Joeri Van Mierlo and Professor Peter Van den Bossche VUB - Vrije Universiteit Brussel, Mr. Aymeric Rousseau The University of Chicago, Professor Massimiliano Gobbi Politecnico di Milano, Ms. Genevieve Cullen EDTA-Electric Drive Transportation Association

👉 More info & free registration: https://shorturl.at/73OND

29/05/2026

📚 WEVJ Q1 2026 Editor's Choice Articles – Now Online!

This curated collection features over 40 outstanding papers (Jan–Mar 2026) covering the hottest topics in electric mobility.

🔍 Highlights by reader interest:

🚗 Global Implications of China's EV Dominance – 7,804 views
🔗 https://brnw.ch/21x2Vwj
☀️ Solar Charging–Lessons Learned from Field Observation – 2,111 views
🔗 https://brnw.ch/21x2Vwi
🇳🇴 Reaching the End of the ICEV Domination: 35 Years of BEVs in Norway – 1,710 views
🔗 https://brnw.ch/21x2Vwg
🔌 Electric Mobility Transition, Intelligent Digital Platforms, and Grid–Vehicle Integration Models – 2,025 views
🔗 https://brnw.ch/21x2Vwf

👉 Explore the full collection for free:
https://brnw.ch/21x2Vwh

Happy reading! 🚗⚡

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

28/05/2026

⚡🔋 Improving efficiency in next-generation fuel cell systems!

A study by Chunsheng Wang et al. proposes a multi-stack efficiency optimization strategy for Proton Exchange Membrane Fuel Cell (PEMFC) systems, addressing both performance and long-term durability.

The approach uses a hierarchical optimization framework combining:
• Online parameter identification (FFRLS)
• Steady-state efficiency optimization via Arithmetic Optimization Algorithm (AOA)
• Dynamic real-time correction with Dijkstra-based power routing

Together, these methods enable improved energy efficiency, better power allocation, and reduced stack aging in multi-stack fuel cell systems.

Simulation results show enhanced operational stability and significant gains in overall system efficiency.

📖 Read the article: “Multi-Stack Efficiency Optimization Strategies for Fuel Cell Systems”
https://brnw.ch/21x2UpK

With the in-depth advancement of the “dual carbon” strategy, Proton Exchange Membrane Fuel Cells (PEMFCs), as efficient and clean energy conversion devices, show great potential in the fields of transportation power and stationary power generation. For multi-stack fuel cell systems, a hierarchic...

28/05/2026

🚛⚡ Advancing sustainable transport with intelligent energy management!

A recent study by Jose del C. Julio-Rodríguez et al. presents a machine learning-based methodology for optimizing energy management in heavy-duty Fuel Cell Hybrid Electric Vehicles (FCHEVs) equipped with pantograph charging systems.

Using real-world driving data from Germany, the proposed strategy combines clustering, supervised machine learning, and route zonification to improve power distribution between the battery and fuel cell. The results demonstrated enhanced efficiency, reduced hydrogen consumption, and lower fuel cell degradation compared to conventional approaches.
📖 Read the article: “Machine Learning-Based Methodology for Intelligent Energy Management Strategy in Heavy-Duty Fuel Cell Hybrid Electric Vehicles with Pantograph”
https://brnw.ch/21x2Umi

This study presents a novel methodology for optimizing energy management strategies in heavy-duty Fuel Cell Hybrid Electric Vehicles (FCHEVs) with pantograph charging systems. The approach integrates machine learning (ML) techniques to predict energy demand, optimize the power distribution between t...

28/05/2026

🚗⚡ Open Access Perspective | New Paradigms in Automotive Engineering

A new paper by Chan et al. explores how automotive engineering is being reshaped by electrification, AI, and system-level integration.

The authors propose three emerging paradigms:
🧠 Brain Evolution
❤️ Heart Revolution
🌐 Network Integration

Modern vehicles are no longer just transport tools—they are evolving into intelligent energy and data nodes within a connected ecosystem.

The study highlights a shift toward a “Human–Vehicle–Road–Cloud–Satellite” architecture, where mobility, energy systems, and digital intelligence operate as one integrated network.

With advances in solid-state batteries and wide-bandgap semiconductors, the path toward smarter, more sustainable mobility is accelerating fast.

📄 Open Access in World Electric Vehicle Journal
👉 https://brnw.ch/21x2UlX

Driven by global energy transformation and the progress of artificial intelligence technology, traditional automotive engineering is undergoing profound changes. Transportation is rapidly advancing toward electrification and intelligence. Against this background, this paper identifies three emerging...

27/05/2026

🚗⚡A new study proposes an AI-driven method to monitor EV charging stations using multi-source data + k-shape clustering.

Key idea: instead of simple thresholds, it analyzes charging current time-series patterns to detect hidden faults.

📊 Identifies modes like:
• standard charging
• deep oscillation
• power-limited behavior

🔍 Enables early detection of abnormal “vehicle–charger” combinations using statistical modeling.

Result: more reliable, data-driven charging network monitoring for large-scale EV systems.

📄 World Electric Vehicle Journal
👉

Given the complex operating conditions and latent faults exhibited by electric vehicle charging infrastructure amid massive order volumes, traditional monitoring methods based on thresholds or single statistical metrics struggle to detect dynamic, time-varying anomalies. This paper proposes a method...

26/05/2026

Electrifying the Tar Heel State: Zero-Emission Vehicle Adoption in North Carolina

This study explores EV adoption patterns in North Carolina, comparing current EV owners with prospective buyers. It highlights how income, demographics, commuting behavior, and policy incentives influence EV purchase decisions.

📌 https://brnw.ch/21x2Q8n

Worldwide the adoption of electric vehicles (EVs) is recognized as a key strategy for reducing transport-related greenhouse gas (GHG) emissions, a major contributor to global warming and climate change. The objective of this pilot study is to examine the key variables that might have influenced elec...

26/05/2026

🚗 We highlight the article “LSON-IP: Lightweight Sparse Occupancy Network for Instance Perception” by Zheng et al., published in World Electric Vehicle Journal.

This work presents an efficient 3D perception framework for autonomous driving, using sparse instance queries instead of dense voxel grids. The approach reduces computational cost while maintaining strong performance in dynamic scene understanding.

📌

The high computational demand of dense voxel representations severely limits current vision-centric 3D semantic occupancy prediction methods, despite their capacity for granular scene understanding. This challenge is particularly acute in safety-critical applications like autonomous driving, where a...