储能
锂(药物)
电压
工作(物理)
航程(航空)
电化学
电池(电)
计算机科学
离子
电化学储能
材料科学
纳米技术
工程类
电气工程
机械工程
电极
化学
航空航天工程
物理
热力学
超级电容器
功率(物理)
医学
物理化学
有机化学
内分泌学
作者
Vamsi Krishna Garapati,Naga Neehar Dingari,Mahesh Mynam,Beena Rai
出处
期刊:Journal of The Electrochemical Society
[The Electrochemical Society]
日期:2023-01-01
卷期号:170 (1): 010517-010517
标识
DOI:10.1149/1945-7111/acb01b
摘要
Sodium-ion batteries (SIBs) are emerging as promising energy storage systems. SIBs share similar chemistry and performance metrics with lithium-ion batteries (LIBs), the workhorse energy storage technology. Abundant availability of sodium and its even distribution across the globe make SIBs a better alternative to LIBs. Electrochemical models enabling simulation of batteries help study performance and various parameters of batteries for a variety of operating conditions. Reduced order electrochemical models can be used to study batteries to obtain quick insights, especially, at lesser computational cost. In this work, we present a reduced order model for SIBs based on the single particle assumption. We validate the single particle model (SPM) by comparing the results with experimental data and predictions of detailed pseudo-two-dimensional (P2D) model. The SPM shows good accuracy in predicting voltage profiles over a range of discharge current densities. We further discuss the regime of operation where the SPM predictions deviate from that of the P2D model. Our study suggests that the SPM can be used as a viable alternative to the P2D model to design and test SIBs.
科研通智能强力驱动
Strongly Powered by AbleSci AI