Quantitative simulation of battery aging

Math2Market, together with Prof. Wood's MaDE group at the Swiss Federal Institute of Technology Zurich (ETH), pursues the quantitative simulation of battery aging. This paves the way for more performance and longer battery life.

Get ready to explore new possibilities for the development of advanced digital battery materials!

Our approach is to analyze state-of-the-art NMC cathode and graphite anode microstructures. The experimental data is used to validate degradation simulations in which local volumetric changes and damage due to lithium intercalation are computed. New prototype materials can be designed and optimized following this method.

R&D GeoDict users will be able to simulate battery ageing upon cycling and design optimized prototype electrodes with superior performance and lifetime! With GeoDict, Math2Market intends to lead the way in battery simulation for a breakthrough in innovative energy materials for e-mobility and energy storage.

Our project partners:
Swiss Federal Institute of Technology Zurich (ETH)

Start: November 2019
End: November 2021

Authors and application specialists

Dr. Mathias Fingerle

Team Leader
Consulting & Projects

Dr. Ilona Glatt

Senior Business Manager
for Batteries and Fuel Cells

Latest developments

Important project milestone reached: Digital material models

Math2Market, together with its partners in the structur.e project, has reached an important project milestone: Digital material models - so-called Digital Twins - of the microstructure of the anode and the cathode have been created and validated based on 3D CT-scans.

First Project Milestone

Within the structur.e project two new features for GeoDict 2021 (release in September 2020) have been developed.

Start of the structur.e project

The structure.e project has officially started today. We are looking forward to the work with our partners and to three and a half exciting project years.


Acknowledgement: We thank the Eurostars program for funding under project number E!113343

This project has received funding from the Eurostars-2 joint
programme with co-funding from the European Union
Horizon 2020 research and innovation programme