Abstract:
Sodium-ion batteries have low energy density, low capacity, and inferior cycling
performance when compared with Li-ion batteries. However, lithium depletion poses a
serious problem for the production and cost of Li-ion batteries. In the present work,
NaNi1/3Mn1/3Co1/3O2 was synthesized as the cathode material for Na-ion batteries using
the sol–gel method. The conventional cathode material used in Na-ion batteries had been
replaced with the synthesized cathode material, and the data had been collected by performing charging/discharging experiments. The support vector regression synchronized crossvalidation simplex algorithm cluster was then used for predictive modeling and optimization
of the fabrication process of the positive electrode material of sodium-ion batteries. The
stable normal distribution without any skewness validated the robustness of the model
for better accuracy and stability of the Na-ion batteries. The optimized value of capacity
is 176 mAh/g for 99 cycles, which is better than those of conventional batteries used for
commercial storage purposes
