The following analysis using the LIBRA model is the first to quantify the potential benefits associated with battery sorting for the United States recycling industry in terms of its impact on the share of critical battery materials contained in end-of-life (EOL) batteries recovered annually. 3. Methodology 3.1. The LIBRA system dynamics model
The sorting line isdesigned to sort these different types of batteries, as well as further sort LIBs based on their cathode chemistries, such as lithium cobalt oxide (LCO), lithium nickel manganese cobalt oxide (NMC), lithium nickel cobalt aluminum oxide (NCA), lithium iron phosphate (LFP), and lithium manganese oxide (LMO).
So far, the most promising technology supporting the large-scale transition to these technologies iselectro-chemical battery energy storage with lithium-ion-based chemistries due to its attractive combination of performance, energy density, cost, and cycle life ( Mongird et al., 2019; NREL 2020 ).
The effectiveness of battery sorting isconstrained by the evolution of the battery market. If future end-use applications move rapidly toward cobalt-free chemistries, then the marginal benefit of automated sorting will be curtailed significantly.
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In this paper, we use the Lithium-Ion Battery Resources Assessment (LIBRA) system dynamics model to evaluate the impact of automated battery sorting technology in …
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High-speed prismatic sorting machines for lithium battery production — ensuring accurate cell grading, classification, and quality control in prismatic battery lines.
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