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WEVJ MDPI

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WEVJ MDPI

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

12/11/2025

🚗 Editor’s Choice

“BANULA—A Novel DLT-Based Approach for EV Charging with High Level of User Comfort and Role-Specific Data Transparency”
by Daniel Stetter, Tobias Höpfer, Marc Schmid, Ines Sturz, Simon Falkenberger, and Nadja Knoll

This study presents an innovative blockchain-based EV charging system that enhances user comfort, data transparency, and grid management. BANULA enables real-time data exchange between grid operators and users, optimizing load management for the e-mobility ecosystem.

🔗 Read more: https://brnw.ch/21wXr7Y

The core goal of the BANULA research project is to combine customer-oriented and grid-compatible charging of electric vehicles. It addresses the current challenges of the e-mobility ecosystem from the perspective of grid operators and charging infrastructure users and creates added value for every m...

12/11/2025

⚡ILP–mTSP approach enabling efficient drone-based data collection in wireless sensor networks with integrated quality assessment.
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The proliferation of wireless sensor networks in remote and inaccessible areas demands efficient data collection approaches that minimize energy consumption while ensuring comprehensive coverage.

11/11/2025

⚡A predictive control strategy for cabin heating in fuel-cell trucks yields up to 8% energy savings (21% using waste heat from cooling) while keeping passenger comfort in winter.

✔️https://brnw.ch/21wXnyu

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...

10/11/2025

🚍 Editor’s Choice in World Electric Vehicle Journal

Public Transport Decarbonization: An Exploratory Approach to Bus Electrification
by Paulo J. G. Ribeiro, Gabriel Dias, and José F. G. Mendes
📄 https://brnw.ch/21wXmrD

This study explores strategies for replacing diesel buses with battery electric buses (BEBs) to reduce greenhouse gas emissions and support sustainable urban mobility. The findings highlight that BEBs are a cost-effective way to decarbonize transport, provided the energy used for charging comes from renewable sources.

In 2020, only 0.9% of buses running in European Union countries were electric, with 93.5% still being diesel-powered. The Sustainable and Smart Mobility Strategy set out by the European Commission targets a reduction of at least 55% in greenhouse gas emissions by 2023 and the achievement of climate ...

10/11/2025

🔎This study analyzes the impact of large-scale electric vehicle adoption on Quito’s 138 kV grid, revealing critical overloads and proposing strategies to enable a sustainable energy transition.
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The study evaluates the impact of massive electric vehicle (EV) pe*******on on Quito’s 138 kV distribution system in Ecuador, employing a probabilistic approach to support a sustainable energy transition. The rapid adoption of EVs, as projected by Ecuador’s National Electromobility Strategy, pos...

07/11/2025

🔎The cascaded LSTM model slashes State of Charge (SoC) estimation error in EV batteries by 78% compared to standard LSTM. This boosts safety & range prediction for Lithium-ion batteries.
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Accurately estimating the State of Charge (SoC) is essential for optimal battery charge control and predicting the operational range of electric vehicles. The precision of SoC estimation directly influences these vehicles’ range and safety. However, achieving accurate SoC estimation is challenging...

07/11/2025

🔋End-to-end BEV powertrain review: battery/BMS, propulsion motors, power electronics, EMS, charging systems —benchmarking automakers and spotlighting trends to guide design, policy, and research.
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Battery Electric Vehicles (BEVs) technology is rapidly emerging as the cornerstone of sustainable transportation, driven by advancements in battery technology, power electronics, and modern drivetrains. This paper presents a comprehensive review of current and next-generation BEV powertrain architec...

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.

🔗 Read the full paper

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...

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