Brake-by-wire systems are becoming a core technology for intelligent electric vehicles, but their performance depends heavily on a compact, reliable and responsive booster motor. A study in Green Energy and Intelligent Transportation presents a structured design method for the booster motor used in brake-by-wire systems, combining motor selection, electrical and mechanical design, simulation optimization and prototype verification.

Fuel cell buses are a promising route toward cleaner public transport, but their real-world efficiency depends on more than the vehicle powertrain alone. A study in Green Energy and Intelligent Transportation presents a hierarchical predictive energy management strategy that uses traffic information around bus stops to guide how fuel cell buses plan battery state of charge and allocate power as they approach stopping events.

Researchers have developed a simple lead-based catalyst strategy that significantly improves the performance of iron-chromium redox flow batteries, a class of long-duration energy storage systems widely seen as promising for large-scale grid applications. By introducing lead chloride into the electrolyte and enabling a catalyst to form directly on the electrode surface during operation, the team was able to improve chromium reaction kinetics, suppress hydrogen evolution, and achieve markedly higher energy efficiency under demanding operating conditions.

Researchers have developed a lightweight fault-diagnosis framework for high-speed train bogies that is designed for edge deployment while still maintaining strong cross-domain diagnostic performance. The study addresses a persistent challenge in railway intelligence: how to run deep learning models close to the train or infrastructure, where computing resources are limited, without losing accuracy when operating conditions change.

A new study offers a clearer view of how mechanical stress and electrochemical processes interact inside lithium-ion batteries, providing a multi-scale framework that could support better battery design and stress monitoring. By combining time-domain and frequency-domain analysis, the research helps explain how diffusion-induced stress influences lithium transport from individual particles up to the electrode level.

Dyes are used to colour papers, leather products, garments, and are also employed in the rubber and cosmetic industries. But what happens after these dyes have served their purpose? Billions of tons of dye-containing wastewater enter water systems every year, eventually rendering them unfit for human and animal use. They can also lead to serious health issues such as breathing problems, jaundice, and cancer. As an effort to tackle this issue, researchers have developed advanced materials, which act like microscopic sponges, as a promising solution to industrial wastewater treatment. 

Researchers have developed a real-time vehicle-tracking framework that can follow traffic across large roadside sensor networks with low latency and meter-level accuracy, a step that could help support safer and more responsive vehicle-road-cloud integration systems.

Researchers have developed a comprehensive numerical model for liquid metal batteries that captures potential, mass transfer, and species distribution while remaining fast enough to support practical battery management. The work could help bring greater precision to how these emerging batteries are monitored, controlled, and optimized, especially in long-duration energy storage applications where both safety and lifespan are critical.

A groundbreaking multidisciplinary study reveals that the abundant mangrove fern Acrostichum aureum in Hainan Island harbors moderate genetic diversity but faces hidden vulnerability, providing critical evidence for targeted mangrove ecosystem conservation strategies.