DemoSens
Digitalization of an automated disassembly and sensor-based mechanical preparation of lithium-ion batteries for high-quality recycling
The BMBF-funded joint project DemoSens - Digitalization of automated dismantling and sensor-based mechanical processing of lithium-ion batteries for high-quality recycling - aims to comprehensively digitalize and automate the recycling of lithium-ion batteries from electric vehicles along the entire process chain from dismantling and sorting to mechanical processing. The project is assigned to the BMBF competence cluster Recycling / Green Battery.
Within the project, the Institute for Enterprise Cybernetics (IfU) is developing, testing and implementing machine learning methods for the automated disassembly of EV battery systems by self-learning robot systems. The goal is to further develop previously existing algorithms based on machine learning so that robot-assisted disassembly can be adaptive and generalizable to subcomponents of the EV battery system. The developed adaptive algorithms will be pre-validated within a micro-demonstrator and subsequently transferred to the pilot plant.
