Electrochemical behavior simulation of high specific energy power lithium-ion batteries based on numerical model

被引:1
作者
Shui Tang
Yu Liu
Lixiang Li
Ming Jia
Liangxing Jiang
Fangyang Liu
Yan Ai
Chunmei Yao
Huijun Gu
机构
[1] Centre South University,School of Metallurgy and Environment
[2] Hunan City University,Hunan Provincial Key Laboratory of All
[3] Hunan Huahui New Energy Co.,Solid
[4] Ltd,State Energy Storage Materials and Devices
来源
Ionics | 2020年 / 26卷
关键词
Lithium-ion battery; Numerical simulation; Electrochemical behavior; Distribution characteristics;
D O I
暂无
中图分类号
学科分类号
摘要
Based on COMSOL Multiphysics, a three-dimensional electrochemical-thermal coupling model of lithium-ion battery is constructed. The electrochemical distribution characteristics of the electrode and its evolution law are studied. The results show that the solid-liquid potential shows a large gradient change at the junction between the positive and negative electrode and tabs; the distribution of the maximum and minimum values of the overpotential near the side of tabs or the center of the electrode and the absolute value of the negative distribution characteristic is relatively large. At the end of discharge, the negative electrode almost comes to the state of complete de-lithium, which causes the potential to increase suddenly, and the battery voltage to reach the discharge cut-off voltage in advance. The state of charge (SOC) of the positive electrode is only 0.89; the electrode utilization distribution exhibits a non-uniform distribution characteristic perpendicular to the thickness of the electrode, and changes continuously during the discharge process.
引用
收藏
页码:5513 / 5523
页数:10
相关论文
共 86 条
  • [1] Contestabile M(2011)Battery electric vehicles, hydrogen fuel cells and biofuels. Which will be the winner Energy Environ Sci 4 3754-3772
  • [2] Offer GJ(2017)Reviving Lithium-metal anodes for next-generation high-energy batteries Adv Mater 29 1700007-385
  • [3] Slade R(2015)A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects Renew Sust Energ Rev 49 365-19
  • [4] Guo Y(2018)A novel supercapacitor / lithium-ion hybrid energy system with a fuzzy logic-controlled fast charging and intelligent energy management system Electronics-Switz 7 63-31
  • [5] Li H(2017)Technological developments in batteries: a survey of principal roles, types, and management needs IEEE Power Energy M 15 20-789
  • [6] Zhai T(2017)Review of energy storage systems for electric vehicle applications: issues and challenges Renew Sust Energ Rev 69 771-577
  • [7] Yong JY(2016)Charging optimization in lithium-ion batteries based on temperature rise and charge time Appl Energy 194 569-55
  • [8] Ramachandaramurthy VK(2016)Review of simplified pseudo-two-dimensional models of lithium-ion batteries J Power Sources 327 44-83
  • [9] Tan KM(2016)A novel multi-model probability battery state of charge estimation approach for electric vehicles using H-infinity algorithm Appl Energy 166 76-142
  • [10] Muhammad K(2019)Mesoscale modeling in electrochemical devices—a critical perspective Prog Energ Combust 71 118-336