The world is actively optimizing and adjusting its energy infrastructure and implementing carbon-neutral policies. Globally, the automotive industry is moving towards electrification and intelligent ...

As the world grapples with the energy crisis and environmental concerns, the focus on renewable energy sources has intensified. Lithium-ion batteries, with their high energy density and low pollution, ...

A Carnegie Mellon team used an automated system and machine-learning software to develop fast-charging electrolytes that outperformed a standard one. Around the start of the year, Carnegie Mellon ...

The core challenges with traditional EV BMS architectures. Types of AI applied in the automotive industry. How AI optimizes state of charge, state of health, and range prediction in an EV BMS.

Ph.D. Candidate in Mechanical Engineering, Missouri University of Science and Technology Lithium-ion batteries are quietly powering large parts of the world, including electric vehicles and ...

Battery performance can make or break the electric vehicle experience, from driving range to charging time to the lifetime of the car. Now, artificial intelligence has made dreams like recharging an ...

Scientists have used machine learning algorithms to predict how long a lithium-ion battery will last. Technique could reduce costs of battery development. Imagine a psychic telling your parents, on ...

Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...