BMBF BattFutur Junior Research Group Awarded to Dr.-Ing. Weihan Li

  Copyright: © Peter Winandy photo: Peter Winandy

Dr.-Ing. Weihan Li has been honored with a highly endowed grant from the Federal Ministry of Education and Research (BMBF). As part of its competition "BattFutur – Junior Research Group for Battery Research," the BMBF is providing a funding of 1.85 million euros for the Aachen-based project over the next five years. The funding initiative "BattFutur" is a component of the overarching framework "Research Factory Battery" within the program "From Material to Innovation," which is an integral part of the German government's high-tech strategy. The aim of supporting young researchers is to create optimal conditions for attracting excellent scientists in the field of battery technology to contribute to German science and industry. The funding enables young scientists to establish an independent junior research group at a university or non-university research institution in Germany.

With his project "SPEED – Fast Performance Characterization of Lithium-Ion Batteries from Production Lines with Machine Learning," Dr. Li and his team will develop innovative approaches to automate, digitize, and expedite the evaluation of battery performance from production lines using machine learning. This work facilitates swift feedback on battery performance, especially concerning lifetime, for various applications. As a result, the testing and development process of batteries will be significantly accelerated, and development costs will be reduced. By employing automated diagnostic methods, advanced testing infrastructure, and digital models, the goal is to expand battery cell production capacities in Europe and optimize quality assurance. The outcomes of the project can be seamlessly integrated into the production process by establishing direct interfaces with the production line.

Dr. Weihan Li is the head of the 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 since 2022. He earned his Ph.D. with honors in Electrical Engineering and Information Technology from RWTH Aachen in 2021, following a Master's degree in Automotive Engineering and Transport from RWTH Aachen in 2017 and a Bachelor's degree in Automotive Engineering from Tongji University in 2014. Dr. Li conducted research at Imperial College London, the University of Oxford, and the Massachusetts Institute of Technology. He is the recipient of various awards, including the German Study Award from the Körber Foundation, the Reichart Prize from the Academy of Non-Profit Sciences in Erfurt, the vgbe Innovation Prize, the Battery Young Research Award, and the RWTH Innovation Prize, etc.