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DEFACTO

Battery design and manufacturing optimisation through multiphysic modelling

ProKal Dummy Bild

Project information:

  • 3,5 years (01.01.2020 – 30.06.2023)
  • EU Horizon 2020 (875247)
  • Funding: 0.6 Mio. €
  • Total Project Volume: 6 Mio. €

Project Partner:

  • Cidetec Energy Storage (Spanien)
  • Commissariat à l’énergie atomique et aux énergies alternatives (Frankreich)
  • Centre for Research & Technology Hellas (Griechenland)
  • DLR Institut für Technische Thermodynamik (Deutschland)
  • Fraunhofer ITWM & IWM (Deutschland)
  • ESI Group (Frankreich)
  • Asociación Española de Normalización y Certificación (Spanien)
  • Irizar e-Mobility (Spanien)
  • Leclanché (Deutschland/Schweiz)
  • Universidad Politécnica de Madrid (Spanien)
  • Avesta Battery & Energy Storage (Belgien)
  • Sustainable Innovations Europe SL (Spanien)

Motivation:

Batteries are one of the key actions to boost a low carbon e-mobility sector and energy storage system in Europe, according to the European Strategic Energy Technology Plan (SET-Plan). To reach the objectives in terms of performance as well as economic and environmental issues and to increase the market potential of next generation Li-ion batteries, improvements in battery design and manufacturing are needed. Here, the modelling of material and cell behaviour plays an important role in order to achieve robust, optimal cell designs and manufacturing processes.

Project description:

The aim of this project is to develop a multiscale and multiphysic modelling tool to describe and optimize the whole battery cell development process. The work of the iPAT within this project is focused on the simulation of the electrode microstructure during the electrode manufacturing process. For this, the preparation of the electrode slurry will be simulated by means of CFD-DEM coupling. The resulting particle sizes of the additive agglomerates serve as input for the following CFD-DEM simulation of the electrode drying and the structure formation that takes place during this process. Finally, using the structural information from the drying step, the calendering of the electrode and therefore the generation of the final electrode structure will be investigated. In addition to the simulation work, characterisation of precursor materials to gain material input parameters for the simulations is carried. Furthermore, electrodes will be manufactured and analysed to generate process input for the simulations and for validation.


Contact:

Silas Wolf
s.wolf(at)tu-braunschweig.de

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