电池(电)
电化学
锂(药物)
参数化(大气建模)
电解质
电极
离子
扩散
钠
储能
遗传算法
材料科学
生物系统
计算机科学
化学
热力学
物理
功率(物理)
物理化学
生物
冶金
机器学习
内分泌学
量子力学
辐射传输
作者
Kudakwashe Chayambuka,Grietus Mulder,Dmitri L. Danilov,Peter H. L. Notten
标识
DOI:10.1016/j.electacta.2021.139764
摘要
Sodium-ion batteries (SIBs) have recently been proclaimed as the frontrunner 'post lithium' energy storage technology. This is because SIBs share similar performance metrics with lithium-ion batteries, and sodium is 1000 times more abundant than lithium. In order to understand the electrochemical characteristics of SIBs and improve present-day designs, physics-based models are necessary. Herein, a physics-based, pseudo-two-dimensional (P2D) model is introduced for SIBs for the first time. The P2D SIB model is based on Na3V2(PO4)2F3 (NVPF) and hard carbon (HC) as positive and negative electrodes, respectively. Charge transfer in the NVPF and HC electrodes is described by concentration-dependent diffusion coefficients and kinetic rate constants. Parametrization of the model is based on experimental data and genetic algorithm optimization. It is shown that the model is highly accurate in predicting the discharge profiles of full cell HC//NVPF SIBs. In addition, internal battery states, such as the individual electrode potentials and concentrations, can be obtained from the model at applied currents. Several key challenges in both electrodes and the electrolyte are herein unraveled, and useful design considerations to improve the performance of SIBs are highlighted.
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