WEVJ MDPI

06/11/2025

This study reveals how supply chain and executive networks jointly drive China's industry innovation network, proposing a policy framework to enhance the collaborative ecosystem.

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Driven by the global energy transition and the pursuit of dual carbon goals (carbon peaking and carbon neutrality), the innovation network of the new energy vehicle (NEV) industry, composed of enterprises, universities, and research institutes, has become a key driver of sustainable industrial devel...

05/11/2025

🚜 Editorial’s Choice

Simulation-Based Assessment of Energy Consumption of Alternative Powertrains in Agricultural Tractors by Antti Lajunen, Klaus Kivekäs, Vincent Freyermuth, Ram Vijayagopal & Namdoo Kim

This study uses simulation models to compare energy consumption of conventional, hybrid, fuel cell, and battery electric tractors in typical agricultural operations, highlighting the potential of alternative powertrains to improve efficiency and reduce emissions, while noting technical and operational challenges.

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https://brnw.ch/21wXdUt

The objectives of this research were to develop simulation models for agricultural tractors with different powertrain technologies and evaluate the energy consumption in typical agricultural operations. Simulation models were developed for conventional, parallel hybrid electric, series hybrid electr...

05/11/2025

This study provides a comprehensive systematic and bibliometric review of recent advances in optimizing consumption in electric vehicles.
🧷 https://brnw.ch/21wXdjO

Electric vehicles are key to sustainable mobility, but their limited range remains a major obstacle to widespread adoption. Extending driving distance requires optimizing energy use across subsystems. This study combines bibliometric mapping (2017–2024, Scopus) with a focused qualitative review to...

04/11/2025

🚗 Editorial’s Choice

Investigation of Low-Frequency Data Significance in Electric Vehicle Drivetrain Durability Development by Mingfei Li, Fabian Kai-Dietrich Noering, Yekta Öngün, Michael Appelt & Roman Henze

This study shows that low-frequency driving data, when collected in sufficient quantities, can effectively support EV drivetrain durability analysis, helping reduce development time and costs while maintaining predictive accuracy.

🔗 Read the full paper https://brnw.ch/21wXbx5

The digitalization of the automotive industry presents significant potential for technical advantages, such as the online collection of customer driving data. These data can be used for customer-oriented development to improve the durability of components or systems. However, due to current limitati...

04/11/2025

The publication addresses a critical challenge in the early development of battery electric vehicles: ensuring that battery system requirements are derived from vehicle-level characteristics. Current design practices often reverse this process, leading to iterative loops and potential misalignment between battery capabilities and overall vehicle performance as they start from cell or module properties. This inefficiency is particularly problematic as virtual methods increasingly replace physical prototypes in early design phases.
The presented research results introduce a method that systematically derives battery requirements from longitudinal dynamics, range, and charging metrics within the V-Model framework, as defined by VDI/VDE 2206. The proposed method uses a static battery model incorporating open-circuit voltage and internal resistance, eliminating iterative loops during the concept phase. This approach enables more efficient system-level design, reduces development time, and improves alignment between vehicle performance targets and battery specifications.

Check for more:

https://brnw.ch/21wXbcz


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VDI/VDE 2206 introduces the “V-Model”, a standard in the field of automotive development that uses systems engineering to derive requirements for (sub-)systems and components based on vehicle characteristics. These characteristics, which are directly experienced by drivers, are crucial in the co...

31/10/2025

🔎This study presents a fuzzy control strategy optimized with a Modified Fireworks Algorithm for fuel cell truck seat suspensions, cutting vertical vibration by over 40% to greatly improve comfort.
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Enhancing ride comfort and vibration control performance is a critical requirement for fuel cell commercial vehicles (FCCVs). This study develops a semi-active seat suspension control strategy that integrates a fuzzy logic controller with a Modified Fireworks Algorithm (MFWA) to systematically optim...

30/10/2025

✨This study proposes an EKF-based hardware module for accurate state of charge (SOC) estimation in EV battery systems. Power consumption was reduced by adjusting the sampling period by SOC range. With only 2455 of 700,000 samples, RMSE was under 0.75, achieving 99.65% reduction. FPGA synthesis verified performance.

Check for more👉https://brnw.ch/21wX3ly

29/10/2025

🌱 Editor’s Choice – World Electric Vehicle Journal

Cutting Carbon in Agriculture: Fuel Cell Telehandlers
by Valerio Martini, Francesco Mocera & Aurelio Somà
👉 Read the full article
https://brnw.ch/21wX1Yr

Reducing greenhouse gas emissions is a top priority, even in off-road agricultural machinery. This study explores how fuel cell powertrains can replace traditional engines in telehandlers, offering nearly the same performance while cutting CO₂ emissions by up to 69% (even with grey hydrogen).

Using MATLAB/Simulink models, the authors analyzed durability, efficiency, and environmental impact, showing that fuel cell solutions are not only feasible but can make agricultural machinery much cleaner—especially when powered with green hydrogen.

A key read for sustainable agriculture, hydrogen technology, and clean mobility enthusiasts!

The growing awareness about climate change and environmental pollution is pushing the industrial and academic world to investigate more sustainable solutions to reduce the impact of anthropic activities. As a consequence, a process of electrification is involving all kind of vehicles with a view to....

28/10/2025

🌟 Editor’s Choice – World Electric Vehicle Journal

Reuse of Retired Lithium-Ion Batteries (LIBs) for EVs: Lessons from Taiwan
by Yu-Sen Chuang, Hong-Ping Cheng & Chin-Chi Cheng
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https://brnw.ch/21wX0fJ

As electric vehicles (EVs) grow, so does the challenge of retired lithium-ion batteries. Even when batteries reach 80% of their health, they often still have usable capacity. If not properly managed, these batteries can become environmental hazards and waste valuable resources.

This study explores how circular economy (CE) principles and Extended Producer Responsibility (EPR) can help reuse retired EV batteries in Taiwan. It examines legal, technical, and economic approaches to make battery recycling and reuse safer, more efficient, and sustainable.

A must-read for anyone interested in EV sustainability, battery reuse, and circular economy solutions!

Over the last 50 years since Whittingham created the world’s first lithium-ion battery (LIB) in 1970, LIBs have continued to develop and have become mainstream for electric vehicle (EV) batteries. However, when an LIB for an EV reaches 80% of its state of health (SOH), although it still retains ab...

28/10/2025

⚡ New Publication in World Electric Vehicle Journal!

Technical Architecture and Control Strategy for Residential Community Orderly Charging Based on an Active Reservation Mechanism for Unconnected Charging Piles
by Shuang Hao et al.
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https://brnw.ch/21wWZRe

With the rapid adoption of electric vehicles, orderly management of charging loads in residential communities is critical. This study addresses the challenge of unconnected charging piles (UCPs), which lack remote communication, by proposing a non-intrusive architecture using pile-end management units (PMUs).

An optimized control strategy based on the GD-SA algorithm is introduced to balance transformer capacity and charging demand. Case studies in Tianjin, China, show that peak load can be reduced by over 17% when users fully accept orderly charging. The approach is validated through sensitivity analysis, stress testing, and statistical evaluation.

This research offers practical solutions for supporting UCPs, helping communities implement efficient and scalable EV charging strategies while outlining directions for further exploration.

The large-scale adoption of electric vehicles has created an urgent need for the orderly management of charging loads in residential communities. While existing research on community-based orderly charging architectures and control strategies primarily focuses on connected charging piles (CPs) equip...

28/10/2025

in WEVJ

🚙A Smart Battery Management System for Electric Vehicles Using Deep Learning-Based Sensor Fault Detection

👉🏼This research suggests a system for battery data, especially lithium ion batteries, that allows deep learning-based detection and the classification of faulty battery sensor and transmission information. Initially, we collected the sensor data, and preprocessing was carried out using z-score normalization. The features were extracted using sparse principal component analysis (SPCA), and enhanced marine predators algorithm (EMPA) was used for feature selection. The BMS’s safety and dependability may be enhanced by the suggested incipient bat-optimized deep residual network (IB-DRN)-based false battery data identification and classification system. Simulations using MATLAB (2021a), along with statistics, machine learning, and a deep learning toolbox, along with experimental research, were used to show and assess how well the suggested strategy performs. It is shown to be superior to traditional approaches.

📢Read the full paper:

Battery sensor data collection and transmission are essential for battery management systems (BMS). Since inaccurate battery data brought on by sensor faults, communication issues, or even cyber-attacks can impose serious harm on BMS and adversely impact the overall dependability of BMS-based applic...

24/10/2025

☀️ Innovative Learning: Daniel Rosas-Cervantes and José Fernández-Ramos explore a project-based program where students design and build solar-powered electric vehicles, enhancing engineering and multidisciplinary skills.

📖 Read more: https://brnw.ch/21wWTtG

This study compares two methodologies for organising the working groups of a multidisciplinary project-based learning programme aimed at strengthening students’ transversal skills. The subject of the project was the design and manufacture of prototypes of light electric vehicles powered exclusivel...