structur.e - Next-Generation Lithium-Ion Batteries

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With structur.e, Math2Market GmbH and Volkswagen are pursuing the development of next generation lithium-ion batteries for electric mobility. The final goal is to significantly reduce the charging time for electric vehicles and to enable a longer range.

Get ready to explore the new digital possibilities to develop advanced battery materials!

The approaches in material development and battery research, enabled by the GeoDict software in this project, are also available for other applications! The GeoDict software allows to digitally create realistic material models of the battery materials microstructure using Artificial Intelligence. These digital models are used to simulate a variety of microstructuring processes, such as the use of a laser to create three-dimensional structures. The influence of these methods on the transport processes in the battery is then studied and quantified digitally on the microscale to find new design principles for next-generation materials.

Project Details

Start : May 2019

End : October 2022

Partners :

  • Volkswagen AG
  • Math2Market GmbH
  • SGL Carbon SE
  • PreciPoint GmbH
  • Hochschule Aalen
  • German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt)
  • Fraunhofer Institute for Industrial Mathematics (ITWM)
  • Center for Solar Energy and Hydrogen Research Baden-Württemberg (ZSW, Ulm)

Associated partners:

  • Porsche
  • Trumpf Laser

Recent developments:

  • September, 2020
    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.
    Using these Digital Twins, the influence of different microstructuring processes on battery performance can now be investigated with the aid of simulations. In the further course of the project, microstructuring processes for series production will be developed in digital and experimental parameter studies.
    Digital twins and new manufacturing methods
    Figure: Digital Twins of the microstructure of a graphite anode (Fig. 1) and NMC cathode (Fig. 2), as well as the digital model of a microstructured graphite anode (Fig. 3) in which the insertion of hole channels was simulated.

  • May, 2020
    First Project Milestone

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

    • The BinderFind tool in the GrainFind module of GeoDict ensures the identification of the carbon black-binder domain (CBD) in electrodes. Specially trained Artificial Neural Networks allow the creation of even more realistic material models (Statistical Digital Twins).
    • Anisotropic diffusivity in the DiffuDict module of GeoDict takes into account the anisotropy of active materials regarding ion diffusion in simulations, which is particularly important for anodic graphite.
  • May 1, 2019
    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 Federal Ministry of Economic Affairs and Energy (BMWi) for the ongoing funding under the funding code 03ETE018B