How Circularity and Battery Chemistry Impact EU Electric Vehicle Sector: A dynamic Material Flow Analysis: deterministic, sensitivity analysis and Monte Carlo results

This dataset contains the results of a cohort-based dynamic material flow analysis (dMFA) of the EU-27 passenger-car lithium-ion battery system over 2010–2050. The model tracks battery packs by chemistry (ten chemistries, including lithium-sulfur and lithium-air), vehicle type, size class, build vintage and life stage through remanufacturing, repurposing and recycling. It converts pack flows into flows of nine materials (lithium, nickel, cobalt, manganese, copper, aluminium, graphite, silicon and phosphorus). Three scenarios are covered: Baseline, LFP and Next-Generation. Contents:– Scenario input workbooks, one per scenario;– Deterministic results: annual stocks and flows of packs by life stage and route, and material demand and recovery, for each scenario;– Global sensitivity analysis: Morris elementary-effects screening results, giving factor importance by output family;– Monte Carlo results: means and 5th–95th percentile bands of circular flows and recovered materials, for each scenario.