Following the successful completion of the FASTEST project in May, partner University of Surrey will present new research outcomes at 39th Electric Vehicle Symposium & Exhibition, taking place from 21–24 June 2026.
At the conference, project partner University of Surrey will present a lecture titled ‘LSTM RUL of LFP Cells with FMU Deployment for SIL/HIL’,
on a new smart system designed to help predict how long electric vehicle batteries can continue performing efficiently before needing maintenance or replacement.
The research focuses on Lithium Iron Phosphate batteries and uses artificial intelligence to analyse data collected from standard battery management systems. By learning from battery behaviour under different charging and usage conditions, the system can estimate battery health in real time and provide early warnings when performance starts to decline.
The technology was tested on battery cells and showed more accurate predictions than existing benchmark methods. The research team also integrated the system into a virtual battery testing platform, allowing engineers to safely simulate and evaluate battery behavior in both software and hardware environments.
Presented within the framework of the FASTEST project, the work highlights how advanced digital tools and AI can support safer, longer lasting, and more reliable batteries for the next generation of electric vehicles.