Theoretical simulation of the optimal relation between active material, binder and conductive additive for lithium-ion battery cathodes

The cathode formulation for lithium-ion batteries has been optimized taking into consideration different active material, polymer binder and conductive additive ratios. Theoretical simulations have been carried out to evaluate the influence of different materials relative contents in the electrode p...

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Bibliographic Details
Published in:Energy (Oxford) Vol. 172; pp. 68 - 78
Main Authors: Miranda, D., Gören, A., Costa, C.M., Silva, M.M., Almeida, A.M., Lanceros-Méndez, S.
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01-04-2019
Elsevier BV
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Summary:The cathode formulation for lithium-ion batteries has been optimized taking into consideration different active material, polymer binder and conductive additive ratios. Theoretical simulations have been carried out to evaluate the influence of different materials relative contents in the electrode performance, at various discharge rates. Simulations were performed by the finite element method applying the Doyle/Fuller/Newman model for two different active materials (C-LiFePO4 and LiMn2O4) and some results were compared with experimental data. The optimization of the electrode formulation is dependent on the maximum value of n, defined as the ratio polymer binder/conductive additive. The electrical conductivity of the cathode depends on the conductive material, thus it is dependent on the ratio n. The optimum balance of the cathode components is reported considering the performance and the mechanical stability. [Display omitted] •Cathode formulation for lithium-ion batteries is optimized by theoretical simulations.•The electrode formulation is independent of the active material type.•The ratio polymer binder/conductive additive should be < 4.•The best composition of the cathode should have 90% of active material.•The polymer binder and conductive additive should range between 2% and 8%.
ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2019.01.122