Selection of Electrolyte Additive Quantities for Lithium‐Ion Batteries Using Bayesian Optimization

The composition of the liquid electrolyte is a key factor in lifetime performance lithium-ion batteries. selection and quantification additives to an active field research. This study focuses on finding optimal additive combination fluoroethylene carbonate (FEC) vinylene (VC) for NMC622-Graphite cells. central goal this work accelerate experimental search large area by using Bayesian-optimization algorithm guide search. Different measurements are used as target variable such open-circuit voltage gradient coulombic efficiency. Consequentially, capability these accelerated prediction compared conventional ageing tests cycling investigated. gathered confirmed combinations with excellent after four iterations total 15 analyzed. results give insights into interaction VC FEC regard ageing.