%0 Journal Article
%A Hildenbrand, Felix
%A Aupperle, Felix
%A Stahl, Gereon
%A Figgmeier, Egbert
%A Sauer, Dirk Uwe
%T Selection of Electrolyte Additive Quantities for Lithium‐Ion Batteries Using Bayesian Optimization
%J Batteries & supercaps
%V 5
%N 7
%@ 2566-6223
%C Weinheim
%I Wiley-VCH
%M FZJ-2022-04187
%P e202200038
%D 2022
%X The composition of the liquid electrolyte is a key factor inlifetime performance of lithium-ion batteries. The selection andquantification of additives to the electrolyte is an active field ofresearch. This study focuses on finding the optimal additivecombination of fluoroethylene carbonate (FEC) and vinylenecarbonate (VC) for NMC622-Graphite cells. The central goal ofthis work is to accelerate the experimental search in a largesearch area by using a Bayesian-optimization algorithm toguide the search. Different measurements are used as targetvariable such as open-circuit voltage gradient and coulombicefficiency. Consequentially, the capability of these measurementsfor accelerated lifetime prediction compared to conventionalageing tests by cycling is investigated. The searchgathered and confirmed additive combinations with excellentperformance after four iterations with a total of 15 additivecombinations analyzed. The results of this study give insightsinto the interaction of VC and FEC with regard to ageing.
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000774000900001
%R 10.1002/batt.202200038
%U https://juser.fz-juelich.de/record/910837