The latest in battery intelligence

Introduction Accurate residual value prediction and battery health transparency are critical to the successful adoption of Electric Vehicles (EV). Confidence in residual values enables financiers to accurately monitor, predict, and control their balance sheet exposure, allowing them to pass through this reduction in risk in the form of more attractive credit prices and more widespread […]

Abstract Models are essential for engineering efficient systems both quickly and cost-effectively. They focus the mind on what’s important and inform where our precious testing resources should be allocated. Batteries are complex, with behaviours covering a wide range of length-scales and timescales; yet a strong understanding of them pays dividends at all stages of the […]

Introduction Hardly a day goes by without artificial intelligence grabbing the headlines. Be it in process automation, medical diagnosis, autonomous transportation, language processing or even gaming, applications of advanced machine learning algorithms are ubiquitous. Outside of highly publicised advances such as ChatGPT, machine learning has equally spread across all branches of science and continues to […]

Batteries are increasingly becoming a foundation on which society is built. Whilst the modern lithium-ion battery was largely developed to serve consumer electronics, its potential to fundamentally transform mobility and future green energy systems has led to something of a ‘second advent’ in this space. However, with this opportunity for battery technology comes challenges. Much […]