The Munich-based startup Twaice is collaborating with the Chair of Automotive Engineering at the Technical University of Munich in the Bawaii research project. The goal is to improve predictive battery analytics through the use of artificial intelligence.
The Munich-based startup Twaice has developed software that uses so-called digital twins to determine the "health status" of a lithium-ion battery. The founders are now collaborating with the Technical University of Munich (TUM) to further develop their approach. The collaboration between research and industry is known under the project name Bawaii (Battery Analytics with Artificial Intelligence). The startup itself emerged as a spin-off from TUM a year ago.
Twaice and TUM scientists work on efficient battery use
With the help of Twaice's software, vehicle manufacturers can validate how well their battery system meets requirements. They also receive predictions about battery aging during development, which can then be designed accordingly. Several industrial corporations are already among the startup's customers.
The government-funded Bawaii project aims to provide opportunities for meaningfully analyzing data generated during battery operation. TUM researchers at Professor Markus Lienkamp's chair are using test benches and demonstrators to verify calculations. The division of responsibilities includes TUM researching new methods and validating existing ones, while the industrial partners are providing the underlying AI software and testing the developed method in real vehicles.
