Digitalization in Battery Research and Production

In the research topic “Digitalization in Battery Research and Production”, we use the extensive amounts of data generated as part of our research work to develop innovative digital offerings. To this end, we are expanding the necessary digital infrastructure, creating interfaces, and defining standards for research data management in accordance with the FAIR principle (findable, accessible, interoperable, reusable). This enables us to efficiently process, aggregate, and link data along the entire battery value chain. Our approaches range from material development and production to operation and second-life qualification. In this context, we develop new tools and services for data analysis and visualization.

We develop customized solutions for automated documentation as well as data processing and apply advanced statistical methods plus artificial intelligence (AI) to data volumes of various sizes. In doing so, we address current issues in battery research and combine our in-depth domain knowledge with expertise in data science and software engineering.

These activities enable us to create new data-based offerings for industrial contract research and collaborative projects. For example, we can identify and analyze specific correlations between individual data points along the battery value chain in our extensive databases.

Our services are aimed at companies of all sizes, with a particular focus on small and medium-sized enterprises (SMEs). Our target groups include battery cell, module and system manufacturers, battery users including second-life, as well as the banking and insurance sectors.

Fields of Work

In the research topic "Digitalization in Battery Research and Production" we focus on the following fields of work:

Digital Infrastructures for Production and Research Data

Research Data Management

Digital Tools and Services

Data Analysis using Artificial Intelligence Methods

Our Hardware and Software Equipment

Hardware

  • Several high-performance workstations with fast CPUs and GPUs
  • Several virtual Microsoft Windows terminal servers for medium computing requirements
  • Access to a large high-performance Linux cluster for high computing requirements
    • 23 CPU nodes with just over 700 real cores
    • 8500 GB RAM
    • 7 GPU nodes with Nvidia A100 and H100 Tensor Core GPUs

Softwaretools

  • Simulation software such as Comsol, Relaxis, Match and Diamond
  • Data management tool OpenBIS for FAIR data storage
  • Tools such as GitLab, JupyterHub, Grafana, Docker, Citavi, Redmine project management, Apache NiFi

R&D Infrastructure

At Fraunhofer ISE, we benefit from this infrastructure for our research and development activities:

 

Center for Electrical Energy Storage

From innovative materials and production technologies for battery cells to battery system design, safety testing and integration – the “Center for Electrical Energy Storage” offers a unique research infrastructure along the entire battery value chain.

Selected Research Projects

 

BatterieDigital_real

Pilot Project for the Fraunhofer Research Data Space

 

SAMBA

Scanning Acoustic Microscopy-based Battery Analysis

 

Quaze

Optical Test Method for Determining the Quality of Battery Cells