TY  - JOUR
AU  - Hildenbrand, Felix
AU  - Aupperle, Felix
AU  - Stahl, Gereon
AU  - Figgmeier, Egbert
AU  - Sauer, Dirk Uwe
TI  - Selection of Electrolyte Additive Quantities for Lithium‐Ion Batteries Using Bayesian Optimization
JO  - Batteries & supercaps
VL  - 5
IS  - 7
SN  - 2566-6223
CY  - Weinheim
PB  - Wiley-VCH
M1  - FZJ-2022-04187
SP  - e202200038
PY  - 2022
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000774000900001
DO  - DOI:10.1002/batt.202200038
UR  - https://juser.fz-juelich.de/record/910837
ER  -