idw – Informationsdienst Wissenschaft
Nachrichten, Termine, Experten
Nachrichten, Termine, Experten
idw - Informationsdienst
Wissenschaft
In the recently launched project BATTwin, funded by the EU, researchers are developing digital twins of battery factories. The goal is to make lithium-ion battery production in Europe more efficient and sustainable. Digital twins are computer models that digitally replicate the processes in a battery factory, helping to reduce waste, energy consumption and emissions during cell production. The project brings together universities and industrial partners from across Europe, including the University of Oldenburg.
Making European production of lithium-ion batteries more efficient and sustainable as well as giving Europe a leading position compared to other industrialised nations in this key sector – this is the goal of the recently launched EU-funded project BATTwin, in which the University of Oldenburg is also involved. The project team led by the Politecnico di Milano (Italy) plans to develop “digital twins” of battery factories – in other words, computer models that simulate the processes in a battery factory – with the goal of reducing the scrap rates and minimising energy consumption and emissions during the production and thus making the entire battery cell manufacturing process more efficient and environmentally friendly.
BATTwin (“Flexible and scalable digital-twin platform for enhanced production efficiency and yield in battery cell production lines”) will receive funding to the tune of 6.4 million euros through the EU's Horizon Europe programme, around 630,000 euros of which will go to the University of Oldenburg. Six universities and research institutions as well as ten industrial partners across Europe are involved in the project.
The Distributed Control in Interconnected Systems research group headed by Oldenburg computer scientist Prof. Dr. Andreas Rauh will focus on investigating solutions for minimising the production of defective battery cells. The scrap rate in battery production lines currently stands at around ten percent. To reduce these rates, the research partners will develop models of the critical stages of battery cell production based on physical process knowledge and couple them with data-driven approaches in order to assess the functionality of battery production lines and predict potential errors. To this end, the models will collect and manage data on process management during production and identify variables that have an impact on quality. On the basis of these data, the scientists will be able to gradually improve the manufacturing process and optimise key control variables, not only in the design phase but also during production.
In parallel to this project, Rauh and his team will construct a lab infrastructure with which they can test the charging and discharging processes of individual battery cells on their own test bench. With this equipment, the researchers will be able to verify the efficacy their own models. These models will determine a battery's open-circuit voltage or other performance indicators and deduce its current state of health and rate of ageing from measurements taken directly during system operation.
The University of Oldenburg’s School of Computing Science, Business Administration, Economics, and Law was already involved in an important advance in battery research in 2022. As a founding member of the Upcell European Battery Manufacturing Alliance, a non-profit association with 87 partners, it is committed to creating an independent European battery industry. Upcell is a partner in the BATTwin project.
Prof. Dr. Andreas Rauh, Phone: 0441/798-4195, Email: andreas.rauh@uol.de
https://uol.de/informatik/dcis
https://upcell.org/
Merkmale dieser Pressemitteilung:
Journalisten, Lehrer/Schüler, Studierende, Wirtschaftsvertreter, Wissenschaftler, jedermann
Elektrotechnik, Energie, Informationstechnik, Wirtschaft
überregional
Forschungsprojekte, Kooperationen
Englisch
Sie können Suchbegriffe mit und, oder und / oder nicht verknüpfen, z. B. Philo nicht logie.
Verknüpfungen können Sie mit Klammern voneinander trennen, z. B. (Philo nicht logie) oder (Psycho und logie).
Zusammenhängende Worte werden als Wortgruppe gesucht, wenn Sie sie in Anführungsstriche setzen, z. B. „Bundesrepublik Deutschland“.
Die Erweiterte Suche können Sie auch nutzen, ohne Suchbegriffe einzugeben. Sie orientiert sich dann an den Kriterien, die Sie ausgewählt haben (z. B. nach dem Land oder dem Sachgebiet).
Haben Sie in einer Kategorie kein Kriterium ausgewählt, wird die gesamte Kategorie durchsucht (z.B. alle Sachgebiete oder alle Länder).
