A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries.

Regufe, Maria João; Santana, Vinicius V.; Ferreira, Alexandre F. P.; Ribeiro, Ana M.; Loureiro, José M.; Nogueira, Idelfonso B. R.

This study proposed a hybrid modeling framework for membrane separation processes where lithium from batteries is recovered. This is a pertinent problem nowadays as lithium batteries are popularized in hybrid and electric vehicles. The hybrid model is based on an artificial intelligence (AI) structure to model the mass transfer resistance of several experimental separations found in the literature. It is also based on a phenomenological model to represent the transient system regime. An optimization framework was designed to perform the AI model training and simultaneously solve the Ordinary Differential Equation (ODE) system representing the phenomenological model. The results demonstrate that the hybrid model can better represent the experimental validation sets than the phenomenological model alone. This strategy opens doors for further investigations of this system.

MEMBRANE separation; ARTIFICIAL intelligence; HYBRID electric vehicles; ORDINARY differential equations; ARTIFICIAL neural networks; ELECTRIC vehicle batteries; LITHIUM cells

Processes, 2021, Vol 9, Issue 11, p1939

2227-9717

Academic Journal

10.3390/pr9111939