Forecasting Real Disassembly Time of Industrial Batteries Based on Virtual MTM-UAS Data

Abstract

Electric vehicle batteries demonstrate the present and future challenges of disassembly, reuse and recycling and indicate the need for an enhanced life cycle design. Considering the complexity of products like batteries, the recycling process depends on disassembly to optimize output fractions, reduce material depletion and environmental effects to close the life cycle. Furthermore, the design phase determines many future impacts in other life cycle phases. With the help of a newly designed virtual disassembly tool based on the MTM-UAS methods, it is now possible to transfer waste treatment knowledge gained from batteries at the end of their life phase to research and development. Information about disassembly time, material composition of the battery system and recycling quota allow for the discovery of optimisation potentials in the first phase of the battery life cycle.