4th DigiCell public workshop
“From Data-Driven to Physics-Informed Modelling for Batteries – a view from the EU project DigiCell”
The European project DigiCell aims to improve battery production by developing new chemistries, leveraging advanced testing, modelling and AI/ML techniques. We are excited to announce the 4th public workshop in a series of events scheduled throughout the DigiCell project duration.
The event focusses on modelling of battery cells, ranging from data driven machine learning to physics-based finite element modelling, and extending to industrial applications up to the pack level as well as battery manufacturing. The introduction on statistical methods and machine learning is followed by state-of-health estimations using electrochemical impedance spectroscopy measurements. Further topics include finite element modelling including nanomechanical properties of cells, reduced-order aging modelling of industrial packs, and battery manufacturing modelling using physics-informed machine learning.
Date: Wednesday, 1 July 2026, 15:00 – 17:00 CET
Venue: Online (link will be sent to registered participants)
Please fill out the registration information below.
Registration
Registration is now open! It’s free of charge.