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Electrical Engineering and Information Technology

Schlagwort: ‘BMBF’

ITAR team from the Chair of Distributed Signal Processing presented research project at the Hannover Expo

May 27th, 2024 | by
Das ITAR Team zusammen mit Frau Ministerin Bettina Stark-Watzinger vom BMBF und Frau Staatssekretärin Prof. Dr. Sabine Döring

© Chair of Distributed Signal Processing

One of our chairs was also represented at the Hannover Messe this year. The ITAR team (Innovative Test Methods for Radio Systems Based on Augmented Reality Technologies) presented the cutting-edge research of the start-up from the Chair of Distributed Signal Processing at the stand of the Federal Ministry of Education and Research (BMBF) at the Hannover Expo in April.

ITAR, a branch of the 6G Research Hub, is funded by the Federal Ministry of Education and Research as part of the Startup.Connect programme. The team welcomed Minister Bettina Stark-Watzinger from the BMBF and State Secretary Prof Dr Sabine Döring as guests. Students, engineers and managing directors took the opportunity to see the team’s innovative solutions and share them with leading industry representatives. This prepared the way for future collaborations. We would like to thank the BMBF, familie redlich A.G. and the team at the Karlsruhe project management organisation for their support.

Staatssekretärin Prof. Dr. Sabine Döring

© Chair of Distributed Signal Processing

 


Further information on ITAR can be found on the chair’s website.

BMBF supports “SPEED” project by Dr Weihan Li

February 11th, 2024 | by
Dr. Weihan Li mit seinem Forschungsprojekt "SPEED".

Dr. Weihan Li © Peter Winandy

The German Federal Ministry of Education and Research (BMBF) is funding Dr Weihan Li’s project “SPEED” – Rapid characterisation of the performance of lithium-ion batteries from the production line using machine learning” with 1.85 million euros over the next five years as part of its “BattFutur – Young Investigators Group Battery Research” competition.

At the Center for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL) at RWTH Aachen University, the junior research group ‘Artificial Intelligence for Batteries’ is pioneering the development of approaches to automate, digitalise, and accelerate the evaluation of battery performance from production lines using machine learning.

The ‘BattFutur’ funding initiative is part of the ‘Battery Research Factory’ concept, which is embedded in the ‘From Material to Innovation’ framework programme. This programme is a central pillar of the German government’s high-tech strategy. To attract excellent scientists in the field of battery technology to German science and industry, optimal starting conditions must be created. Therefore, promoting young scientists is essential.

Dr Weihan Li has led his junior research group since graduating with honours in Electrical Engineering and Information Technology from RWTH Aachen University in 2021. He completed his Master’s degree in Automotive Engineering and Transportation at RWTH in 2017, after earning his Bachelor’s degree in Automotive Engineering at Tongji University in 2014. Throughout his academic career, Dr Li has conducted research at esteemed institutions such as Imperial College London, the University of Oxford, and the Massachusetts Institute of Technology. He has received numerous awards, including the German Study Prize of the Körber Foundation, the Reichart Prize of the Akademie Gemeinnütziger Wissenschaften zu Erfurt, the vgbe Innovation Prize, the RWTH Innovation Prize, and the Battery Young Research Award.


Institute for Power Electronics and Electrical Drives (ISEA)