Evaluating the Performance of Batteries
The Federal Ministry of Education and Research is funding the SPEED project by Dr. Weihan Li and his RWTH junior research group.
With his project "SPEED - Rapid Characterization of the Performance of Lithium-Ion Batteries from the Production Line using Machine Learning", Dr. Weihan Li and his junior research group "Artificial Intelligence for Batteries" at the Center for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL) at RWTH Aachen University will use machine learning to develop innovative approaches to automate, digitize, and accelerate the evaluation of the performance of batteries from the production lines. This work provides rapid feedback on the performance of the batteries, particularly in terms of their service life for various applications. It significantly speeds up the battery testing and development process and reduces development costs.
The Federal Ministry of Education and Research (BMBF) is now funding Li's project with 1.85 million euros over the next five years as part of its "BattFutur - Young Investigators Group Battery Research" competition. The "BattFutur" funding program is part of the "Battery Research Factory" concept in the "From Material to Innovation" framework program, which is an integral part of the German government's high-tech strategy.
The aim of this support for young scientists is to create optimal starting conditions in order to attract excellent scientists in the field of battery technology to German science and industry. The funding enables early career researchers to set up an independent junior research group at a university or non-university research institution in Germany.
Expanding production capacities for battery cells in Europe
By using automated diagnostic procedures, advanced test infrastructure and digital models, Weihan Li and his team are aiming to expand battery cell production capacities in Europe and optimize quality assurance. The results obtained as part of the project can be integrated directly into the production process by setting up direct interfaces to the production line.
Dr. Weihan Li has headed his junior research group since 2022, after completing his doctorate with distinction in electrical engineering and information technology at RWTH Aachen University in 2021. He completed his master's degree in Automotive Engineering and Transportation at RWTH in 2017, following his bachelor's degree in Automotive Engineering at Tongji University in 2014. He has conducted research at Imperial College London, the University of Oxford and the Massachusetts Institute of Technology. Dr. Li is the winner of the Körber Foundation's German Study Prize, the Reichart Prize of the Academy of Non-Profit Sciences in Erfurt, the vgbe Innovation Prize, the RWTH Innovation Prize, and the Battery Young Research Award, among others.