Digitalisation

Research Area 6

Digitalisation

The core of this research area is an innovative battery digitalisation platform that integrates computational and advanced data analytics with cutting edge experimental technology from the various research areas within the FME BATTERY centre. Such as:

This unique framework will allow the simulation and optimization of the entire Norwegian battery value chain, from cell materials design to the testing and diagnosis of the assembled battery considering in the models both economical and environmental factors.

Main objectives

  • Developing digital solutions to accelerate battery development
  • Establishing control algorithms to optimize battery operations
  • Exemplifying the benefits of highly automated production and manufacturing processes

Impact of the research area Digitalisation

By accelerating the development of safe, sustainable, reliable and high-performance batteries, this research area will make a significant contribution to the overall aims of the FME BATTERY center which includes strengthening the Norwegian battery technological autonomy. This research area will implement an open, scalable, and replicable strategy, establishing a foundation for future Norwegian platforms focused on battery design innovation.

Projects

Projects

PhD projects

Development of battery digitalisation methods for parameter identification, Ivan Fernandez

Towards Battery Digitalization: An Autonomous Framework for Parametrization of Electrochemical Models, Svenas Burba

Other projects

Machine Learning Toolbox for Faster, More Accurate Battery Insights, Meghana Sudarshan

Recent publications

Recent publications

Journal articles

Svenas Burba, Johannes Bakkelund, Rikesh Kumar, Ankit Singh, Mukul Parmanada, & Williams Agyei Appiah (2025). Data-driven entropy coefficient estimation for large format lithium-ion batteries. Batteries & Supercaps, 0. https://doi.org/10.1002/batt.202500533

Conference papers/seminars

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