Periodical
Electrochemical Performance Enhancement of Sodium-Ion Batteries Fabricated With NaNi1/3Mn1/3Co1/3O2 Cathodes Using Support Vector Regression-Simplex Algorithm Approach
| العنوان: | Electrochemical Performance Enhancement of Sodium-Ion Batteries Fabricated With NaNi1/3Mn1/3Co1/3O2 Cathodes Using Support Vector Regression-Simplex Algorithm Approach |
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| المؤلفون: | Ruhatiya, C., Singh, Surinder, Goyal, Ankit, Niu, Xiaodong, Hanh Nguyen, Thi Ngoc, Nguyen, Van Hoang, Tran, Van Man, Phung LE, My Loan, Garg, Akhil, Gao, Liang |
| المصدر: | Journal of Electrochemical Energy Conversion and Storage; February 2020, Vol. 17 Issue: 1 p011009-011009, 1p |
| مستخلص: | 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 cross-validation 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. |
| قاعدة البيانات: | Supplemental Index |
| تدمد: | 23816872 23816910 |
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| DOI: | 10.1115/1.4044358 |