Abstract
As the Direct Recycling of Lithium-ion batteries may become imperative, centrifugal separation of electrode materials is studied as a potential key process step. The focus here lies on Lithium Iron Phosphate (LFP) and Carbon Black fractionation in a tubular centrifuge and its digital real-time representation. A real-time model is therefore elaborated, which is an enhancement of the existing compartment approach and relies on mass balances for particle sizes and species. In addition, it requires material parameters for accurate representation of hindered settling and sediment compression. Global sensitivity analysis with Latin-Hypercube One-At-A-Time Sampling confirms the parameters' significance and the respective development over process time. A correspondingly tailored optimization procedure incorporating a Genetic Algorithm is designed in order to derive the searched material parameters from actual process data. Results indicate that Genetic Algorithms are promising, robust tools in this application. Also, the model can be validated with appropriate material parameters.
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