锂离子电池电化学反应模型研究进展浅析

doi:10.61558/2993-074X.2854

电化学（中英文） ›› 2011, Vol. 17 ›› Issue (4): 355-362. doi: 10.61558/2993-074X.2854

• 综述 • 下一篇

锂离子电池电化学反应模型研究进展浅析

王大为¹，李东江²，李军³，杨勇^1,2*

1,固体表面物理化学国家重点实验室，化学化工学院化学系，2,能源研究院，3,化学化工学院化工系，厦门大学，361005

收稿日期:2011-09-01 修回日期:2011-09-20 出版日期:2011-11-28 发布日期:2011-10-22
通讯作者: 杨勇 E-mail:yyang@xmu.edu.cn
基金资助:
国家973计划课题（2011CB935903）及国家自然科学基金（20873115）资助

A Brief Review of Research Progress in the Development of Engineering Models for Lithium Ion Batteries

WANG Da-Wei¹, LI Dong-Jiang², LI Jun³, YANG Yong^1,2*

1,State Key Laboratory of Physical Chemistry of Solid Surface, Department of Chemistry , College of Chemistry and Chemical Engineering; 2, School of Energy Research; 3, Department of Chemical Engineering, College of Chemistry and Chemical Engineering , Xiamen University , Xiamen 361005 ,China

Received:2011-09-01 Revised:2011-09-20 Published:2011-11-28 Online:2011-10-22
Contact: YANG Yong E-mail:yyang@xmu.edu.cn

摘要/Abstract

摘要： 锂离子电池已成为重要的电化学能源储存设备，其性能的评估与监测对实际应用有着重要的指导意义。锂离子电池电化学反应模型是评估电池性能的有效手段。本文介绍了文献中依据电化学反应、离子扩散及电迁移过程建立的原始物理模型，通过引入电极副反应，两相反应，应力和能量等因素，进一步发展的锂离子电池电化学反应模型。较详细的说明了这些模型的电池充放电过程、锂离子浓度分布、电流分布、电极材料荷电状态、应力及循环容量衰减等模拟在电池实际运行中的应用。简要的介绍了物理模型的数学处理和简化，比较了各种处理方法的优缺点。

关键词: 锂离子电池, 电池反应模型, 循环容量衰减, 应力模型

Abstract: Lithium ion battery has become an important and popular electrochemical device for energy storage.Suitable evaluation and understanding of electrochemical performance and state of charge play a key role in the applications of lithium ion batteries.Construction and utilization of engineering modeling for lithium ion batteries is an effective way to fulfill this target.In this paper,engineering models of lithium ion batteries based on electrochemical reaction,ionic diffusion and migration are introduced.The emphasis is placed on the development of engineering models by the introduction of side reaction,phase transition,stress and energy.The applications of engineering models in such simulations as charge-discharge,concentration distribution,current distribution,state of charge,stress and capacity fading are particularly presented.The mathematical treatments and simplifications are also briefly described.

Key words: Lithium ion batteries, Battery reaction modeling , Cyclic capacity decay, Stress model

王大为, 李东江, 李军, 杨勇. 锂离子电池电化学反应模型研究进展浅析[J]. 电化学（中英文）, 2011, 17(4): 355-362.

WANG Da-Wei, LI Dong-Jiang, LI Jun, YANG Yong. A Brief Review of Research Progress in the Development of Engineering Models for Lithium Ion Batteries[J]. Journal of Electrochemistry, 2011, 17(4): 355-362.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://electrochem.xmu.edu.cn/CN/10.61558/2993-074X.2854

https://electrochem.xmu.edu.cn/CN/Y2011/V17/I4/355

参考文献

[1] Doyle M, Fuller T F, and Newman J. Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/ Insertion Cell[J]. J. Electrochem. Soc. , 1993, 140(6): 1526-1533.
[2] Basu S and Worrell W L. Fast Ion Transport in Solids[C], Amsterdam: North-Holland Publishing Co. , 1979: 149-152.
[3] Sequeira C A C and A. Hopper. The Study of Lithium Electrode Reversibility Against (PEO)xLiF3CSO3 Polymeric Electrolytes[J]. Solid State Ionics, 1983, 9&10(2): 1131-1138.
[4] Fuller T F, Doyle M, and Newman J. Simulation and Optimazation of the Dual Lithium Ion Insertion Cell[J]. J. Electroehem. Soc. , 1994, 141(1): 1-10.
[5] R. Pollard and J. Newman. Transient Behaviour of Porous Electrodes with High Exchange Current Densities[J]. Electrochim. Acta, 1980, 25(3): 315-321.
[6] Feng Y(冯毅). 锂离子电池数值模型研究[D], 上海, 中国科学院研究生院, 2008.
[7] Albertus P, Christensen J, and Newman J. Experimentals on and Modeling of Positive Electrodes with Multiple Active Materials for Lithium-Ion Batteries[J]. J. Electrochem. Soc. , 2009, 156(7): 606-618.
[8] Ramadass P, White R E, and PoPov B N, et al. Development of First Principles Capacity Fade Model for Li-Ion Cells[J]. J. Electrochem. Soc. , 2004, 151(2): 196-203.
[9] Sikha G, Popov B N, and White R E. Effect of Porosity on the Capacity Fade of a Lithium-Ion battery[J]. J. Electrochem. Soc. , 2004, 151(7): 1104-1114.
[10] Darling R and Newman J. Modeling Side Reactions in Composite LiyMn2O4 Electrodes[J]. J. Electroehem. Soc. , 1998, 145(3): 990- 998.
[11] Reimers J N and Dahn J R. Electrochemical and In Situ X-Ray Diffraction Studies of Lithium Intercalation in LixCoO2[J]. J. Electrochem. Soc. , 1992, 139(8): 2091-2097.
[12] Zhang Q and White R E. Moving Boundary Model for the Discharge of a LiCoO2 Electrode[J]. J. Electrochem. Soc. , 2007, 154(6): 587- 596.
[13] Renganathan S, Sikha G, and White R E, et al. Theoratical Analysis of Stresses in a Lithium Ion Cell[J]. J. Electrochem. Soc. , 2010, 157(2): 155-163.
[14] Bernardi D, Pawlikowski E, and Newman J. A General Energy Balance for Battery Systems [J]. J. Electrochem. Soc. , 1985, 132(1): 5-12.
[15] Kumaresan K, Sikha G, and White R E. Thermal Model for a Li-Ion Cell[J]. J. Electrochem. Soc. , 2008, 155 (2): 164-171.
[16] Gu W B and Wang C Y. Thermal-Electrochemical Modeling of Battery Systems[J]. J. Electrochem. Soc. , 2000, 147(8): 2910-2022.
[17] Liu S Y. An Analytical Solution to Li/Li+ Insertion into a Porous Electrode[J]. Solid State Ionics, 2006, 177 (1&2): 53-58.
[18] Johan M R and Arof A K. Modeling of Electrochemical Intercalation of Lithium into a LiMn2O4 Electrode Using Green Function[J]. J. Power. Source, 2007, 170(2): 490-494.
[19] Doyle M and Newmen J. Analysis of Capacity-Rate Data for Lithium Batteries Using Simplified Models of the Discharge Process[J]. J. Appl. Electrochem. 1997, 27(7): 846-856 .
[20] Ali S A H, Hussin A, and Arof A K. Short- and Long-Time Solutions for Material Balance Equation in Lithium -ion Batteries by Laplace Transform[J]. J. Power source, 2002, 112(2): 435-442.
[21] Bhikkaji B and Soderstrom T. Reduced order models for diffusion systems[J]. Int. J. Control, 2001, 74(15): 1543-1557.
[22] Smith K A, Rahn C D, and Wang C Y. Model Order Reduction of 1D Diffusion Systems Via Residue Grouping [J]. J. Dyn. Syst. Control, 2008, 130(1): 1-8.
[23] Cai L and White R E. Reduction of Model Order Based on Proper Othogonal Decomposition for Lithium-Ion Battery Simulations[J]. J. Electrochem. Soc. , 2009, 156(3): 154-161.

锂离子电池电化学反应模型研究进展浅析

A Brief Review of Research Progress in the Development of Engineering Models for Lithium Ion Batteries

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

[1]	赵刚, 龚正良, 李益孝, 杨勇. 氧化钨和磷钨酸对LiNi_0.96Co_0.02Mn_0.02O₂材料的表面包覆改性研究[J]. 电化学（中英文）, 2023, 29(10): 2204281-.
[2]	陈思, 郑淞生, 郑雷铭, 张叶涵, 王兆林. 水热法制备锂电池Si@C负极材料的工艺优化研究[J]. 电化学（中英文）, 2022, 28(8): 2112221-.
[3]	王京玥, 王睿, 王诗琦, 王立帆, 詹纯. 一步固相法合成锂离子电池高镍层状正极材料[J]. 电化学（中英文）, 2022, 28(8): 2112131-.
[4]	谯渭川, 李芳儒, 肖瑾林, 屈丽娟, 赵晓, 张梦, 庞春雷, 李子坤, 任建国, 贺雪琴. 硅氧材料的膨胀性能研究和改善[J]. 电化学（中英文）, 2022, 28(5): 2108121-.
[5]	王加义, 郭胜楠, 王新, 谷林, 苏东. 锂离子电池高镍层状氧化物正极结构失效机制[J]. 电化学（中英文）, 2022, 28(2): 2108431-.
[6]	郭瑞琪, 吴锋, 王欣然, 白莹, 吴川. 多电子反应材料推动高能量密度电池发展：材料与体系创新[J]. 电化学（中英文）, 2022, 28(12): 2219011-.
[7]	朱振威, 邱景义, 王莉, 曹高萍, 何向明, 王京, 张浩. 人工智能在锂离子电池研发中的应用[J]. 电化学（中英文）, 2022, 28(12): 2219003-.
[8]	侯廷政, 陈翔, 蒋璐, 唐城. 当前和下一代锂离子电池电解液的原子尺度微观认识和研究进展[J]. 电化学（中英文）, 2022, 28(11): 2219007-.
[9]	李丹丹, 纪翔宇, 陈明, 杨燕茹, 王晓东, 冯光. 低聚离子液体的体相与界面及其电化学储能应用[J]. 电化学（中英文）, 2022, 28(11): 2219002-.
[10]	骆晨旭, 师晨光, 余志远, 黄令, 孙世刚. 富锂锰基层状正极材料的合成及其首周过充下的结构演化[J]. 电化学（中英文）, 2022, 28(1): 2006131-.
[11]	蔡雪凡, 孙升. 多孔电极电池的循环伏安法模拟[J]. 电化学（中英文）, 2021, 27(6): 646-657.
[12]	彭依, 张伟, 左防震, 吕浩莹, 洪凯骏. 二硒化钼纳米球储锂和储镁的性能和机理研究[J]. 电化学（中英文）, 2021, 27(4): 456-464.
[13]	周莉, 吴勰, 薛照明. 热塑性聚氨酯基聚合物电解质的制备与表征[J]. 电化学（中英文）, 2021, 27(4): 439-448.
[14]	李丽娟, 朱振东, 代娟, 王蓉蓉, 彭文. 锂离子电池正极材料Li[Ni_xCo_yMn_z]O₂ (x = 0.6, 0.85)相变对比[J]. 电化学（中英文）, 2021, 27(4): 405-412.
[15]	梁振浪, 杨耀, 李豪, 刘丽英, 施志聪. 基于不同前驱体制备的硬碳负极材料的储锂性能[J]. 电化学（中英文）, 2021, 27(2): 177-184.