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Felix Schomburg (middle) with researchers from Deakin University

As part of an international research collaboration, BayBatt cooperated with the Applied Artificial Intelligence Initiative (A²I²) at Deakin University in Melbourne, Australia.

In the project, Felix Schomburg (PhD student at the Chair for Battery Management Methods, Prof. Röder) worked together with Prof. Rana and Dr. Venkatesh, as well as the Battery and Innovation Hub, led by Prof. Kerr, to research the optimisation of formation protocols for lithium-ion batteries. The research stay was funded by a scholarship from the DAAD Foundation.

Formation is a crucial production step in the manufacture of lithium-ion batteries. The process influences costs, energy consumption and cell performance. However, the development of a formation protocol is complex and time-consuming due to a variety of influencing factors and multiple target variables.

During the stay, an optimisation platform for the targeted design of formation protocols was developed. The platform is based on Bayesian optimisation, an AI method for the efficient investigation of large search spaces, and also combines experimental and simulation data. This allows promising formation protocols to be identified more quickly, development cycles to be shortened and costs to be reduced in the long term.

Initial results have now been presented at the 76th Annual Meeting of the International Society of Electrochemistry.
The research project forms a good basis for further projects and underlines the added value of international research collaborations for technological innovations.