Modeling the Effect of the Loss of Cyclable Lithium on the Performance Degradation of a Lithium-Ion Battery

Abstract

This paper reports a modeling methodology to predict the effect of the loss of cyclable lithium of a lithium-ion battery (LIB) cell comprised of a LiNi0.6Co0.2Mn0.2O2 cathode, natural graphite anode, and an organic electrolyte on the discharge behavior. A one-dimensional model based on a finite element method is presented to calculate the discharge behaviors of an LIB cell during galvanostatic discharge for various levels of the loss of cyclable lithium. Modeling results for the variation of the cell voltage of the LIB cell are compared with experimental measurements during galvanostatic discharge at various discharge rates for three different levels of the loss of cyclable lithium to validate the model. The calculation results obtained from the model are in good agreement with the experimental measurements. On the basis of the validated modeling approach, the effects of the loss of cyclable lithium on the discharge capacity and available discharge power of the LIB cell are estimated. The modeling results exhibit strong dependencies of the discharge behavior of an LIB cell on the discharge C-rate and the loss of cyclable lithium.

Analytical Solution for Coupled Diffusion Induced Stress Model for Lithium-Ion Battery

“…Insertion/extraction processes induce expansion/contraction of the active material particles, and in turn mechanical stress which damage the electrode structure. The electrode damage causes indirectly the increase of solid electrolyte interface (SEI) growth which in turn affects the battery performance and the available capacity [7]. Stress and strain due to insertion/extraction processes are recently investigated via in-situ measurements in battery electrodes [8][9][10].…”

Modelling the effect of anode particle radius and anode reaction rate constant on capacity fading of Li-ion batteries

“…where, 0 is initial film thickness, ∆ is film thickness change and SEI is film conductivity. The activation overpotentials,  for all electrode reactions in the electrode then receives an extra potential contribution, which yields  = s -e -SEI -Eeq (18) where, Eeq is the equilibrium potential of a cell. The battery cell capacity, Qcell,0 is equal to the sum of the charge of cyclable species in the positive and negative electrodes and additional porous electrode material if present in the model [20].…”

“…The author states that capacity fading originates from active electrodes and active lithium loss. Lee et al [18] also studied the loss of cyclable Li on the performance degradation of Li-ion batteries. The author stated that the discharge behavior of the cell had a strong dependence on discharge C-rate and loss of cyclable lithium.…”

A novel lumped thermal characteristic modeling strategy for the online adaptive temperature and parameter co-estimation of vehicle lithium-ion batteries

“…By establishing a battery cell thermal model and performing offline simulation, the internal temperature of the battery is estimated [16][17][18][19][20]. This method is mainly used for battery cell packaging design and module design, and the finite element numerical calculation method has extremely high computational complexity, and is not suitable for the practical application and thermal management of batteries.…”