Electrochemical Performance Enhancement of Sodium-ion Batteries Fabricated with NaNi1/3Mn1/3Co1/3O2 Cathodes using Support Vector Regression-Simplex Algorithm Approach

[+] Author and Article Information
Chaitanya Ruhatiya

Shantou University Shantou, Guangdong 515063 China sciencewar7@gmail.com

Surinder Singh

MECHNICAL ENGINEERING DEPARTMENT IIT Ropar Rupnagar, PUNJAB 140001 India surinder.singh@iitrpr.ac.in

Ankit Goyal

Intelligent Manufacturing Key Lab of Ministry of Education Shantou, Guangdong 515063 China ankitcct@gmail.com

Xiaodong Niu

Shantou University Shantou, Guangdong 515063 China xdniu@stu.edu.cn

Thi Ngoc Hanh Nguyen

ABXccc Ho Chin Minh City, 255448 Viet Nam ngochanhk14@gmail.com

Van Hoang Nguyen

slfnalkfnalkl Ho Chin Minh City, 3213563 Viet Nam nvhoang@hcmus.edu.vn

Van Man Tran

sgsgsgs Ho Chi Minh city, 3313131 Viet Nam tvman@hcmus.edu.vn

My Loan Phung Le

Viet Nam National University of Ho Chi Minh city (VNUHCM) Viet Nam National University of Ho Chi Minh city (VNUHCM) Ho Chi Minh, Ho Chi Minh 423761 Viet Nam lmlphung@hcmus.edu.vn

Akhil Garg

Huazhong University of Science and Technology Wuhan, Hubei 516041 China akhil@stu.edu.cn

Liang Gao

Luo Yu Road 1037 Hongshan District Wuhan, Hubei, Select State/Province 430074 China gaoliang@mail.hust.edu.cn

1Corresponding author.

Manuscript received March 18, 2019; final manuscript received July 8, 2019; published online xx xx, xxxx. Assoc. Editor: Ying Sun.

ASME doi:10.1115/1.4044358 History: Received March 18, 2019; Accepted July 14, 2019


The sodium-ion batteries have low energy density, low capacity and inferior cycling performance as compared to Li-ion batteries. However, lithium depletion poses a serious problem for production and cost of Li-ion batteries. In the present work, a NaNi1/3Mn1/3Co1/3O2 was synthesized as 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 modelling and optimization of fabrication process of 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 176 mAh/g obtained for 99 cycles was found which is better than those of conventional batteries used for commercial storage purposes.

Copyright © 2019 by ASME
Your Session has timed out. Please sign back in to continue.





Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In