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24.10.2024 10:36

More sustainable shredding - better recycling: initial tests at new battery recycling plant at TU Freiberg sucessful

Philomena Konstantinidis Pressestelle
Technische Universität Bergakademie Freiberg

    A research team at TU Bergakademie Freiberg is using a new shredder system to investigate how battery cells can be shredded in such a way that as many of the raw materials they contain can be efficiently recovered. In the new plant, the researchers are also capturing highly volatile substances that were previously lost. Sensors and cameras record the processes and send the data to a database for analysis by artificial intelligence. This will make recycling more efficient and economically more attractive.

    This makes TU Bergakademie Freiberg the first research institution in Germany to conduct recycling research on an online-capable shredder system in conjunction with a special research database. This database not only collects the results from the plant, but also brings together a lot of other data from the TU Bergakademie and its partners at the Freiberg site, such as the Helmholtz Institute Freiberg and Fraunhofer THM.

    The new shredder system enables used battery cells weighing up to 2,500 g to be shredded in a single step. This produces particles between 0 and 20 mm, in particular fine particles known as black mass. This contains the valuable raw materials nickel, cobalt and lithium. "Our aim is to recover these materials as completely as possible. From 2027 or 2031, this will be required by the new version of the European Battery Regulation for the disposal and recycling of battery waste. The quality of the black mass is important in this context. Contamination by other components of the battery cell such as aluminium, copper or plastic should be avoided. The new plant enables us to carry out extensive experimental studies and thus optimise the quality of the black mass," says Professor Urs Peuker, Director of the Institute of Mechanical Process Engineering and Processing Technology at TU Bergakademie Freiberg.

    Safe shredding of discharged batteries

    The new shredder technology can be used for device batteries from power tools or e-bikes as well as for larger cells from electric and hybrid vehicles. The final black mass is produced by other pilot-scale steps available at TU Bergakademie Freiberg, such as sieving, classifying or magnetic separation. The shredder that is now available is an important step that enables the safe and sustainable shredding of discharged batteries.

    "Another advantage of the system is its closed design. The volatile electrolytes that escape when the batteries are shredded can thus be recovered. This increases process reliability on the one hand and the recycling rate of all components on the other," explains Alexandra Kaas, Group Manager for Recycling.

    Complex batteries require new recycling processes

    The first tests for shredding the batteries began in the summer. New sensors will soon be used to connect the shredder system to databases and analyse data using artificial intelligence. "Battery recycling has become more complex - the classic simple methods and tools are reaching their limits. We are developing and demonstrating the future of recycling technologies using electromobility, a key technology for Saxony," explains Peuker. "This is only possible with live data acquisition, big data and AI!"


    Wissenschaftliche Ansprechpartner:

    Prof. Urs Peuker
    urs.peuker@mvtat.tu-freiberg.de


    Bilder

    The first tests for shredding the batteries began in the summer. New sensors will soon be used to connect the shredder system to databases and analyse data using artificial intelligence.
    The first tests for shredding the batteries began in the summer. New sensors will soon be used to co ...
    Andreas Hiekel
    TU Bergakademie Freiberg / Andreas Hiekel


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    The first tests for shredding the batteries began in the summer. New sensors will soon be used to connect the shredder system to databases and analyse data using artificial intelligence.


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