Abstract
This paper reports a modeling methodology to predict the effects on the discharge behavior of the cathode composition of a lithium iron phosphate (LFP) battery cell comprising a LFP cathode, a lithium metal anode, and an organic electrolyte. A one-dimensional model based on a finite element method is presented to calculate the cell voltage change of a LFP battery cell during galvanostatic discharge. To test the validity of the modeling approach, the modeling results for the variations of the cell voltage of the LFP battery as a function of time are compared with the experimental measurements during galvanostatic discharge at various discharge rates of 0.1C, 0.5C, 1.0C, and 2.0C for three different compositions of the LFP cathode. The discharge curves obtained from the model are in good agreement with the experimental measurements. On the basis of the validated modeling approach, the effects of the cathode composition on the discharge behavior of a LFP battery cell are estimated. The modeling results exhibit highly nonlinear dependencies of the discharge behavior of a LFP battery cell on the discharge C-rate and cathode composition.
Highlights
The lithium-ion battery (LIB) is popular in consumer electronics
Because the discharge capacity and the cell voltage drop owing to an increase in depth of discharge (DOD) exhibit highly nonlinear dependencies on the discharge C-rate and the mass fraction of active material in the cathode, it is necessary to develop an efficient modeling tool to estimate the effect of the cathode composition on the discharge behavior of a LFP battery cell
A mathematical procedure is developed to study the effects of the cathode composition on the discharge behavior of a LFP battery cell comprising a LFP cathode, a lithium metal anode, and an organic electrolyte
Summary
The lithium-ion battery (LIB) is popular in consumer electronics. Beyond consumer electronics, the LIB is growing in popularity for automotive applications such as hybrid electric vehicles and battery electric vehicles and stationary energy storage systems for renewable energy produced by sunlight and wind. Kwon et al [23] presented a different approach from the rigorous porous electrode model [6,7,8,9,10] to predict the discharge behavior of a LIB cell They developed a model to calculate the potential and current density distribution on the electrodes of a LIB cell on the basis of charge conservation. Kim et al [24,25,26] performed two-dimensional thermal modeling to predict the thermal behavior of a LIB cell during discharge and charge on the basis of the potential and current density distributions obtained by the same procedure used by Kwon et al [23] They reported good agreement between the modeling results and the experimental data. Validation of the modeling approach is provided via a comparison of the modeling results with experimental measurements
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