锂离子电池仿真模型的进展

doi:10.19799/j.cnki.2095-4239.2019.0217

储能科学与技术 ›› 2019, Vol. 8 ›› Issue (S1): 18-22.doi: 10.19799/j.cnki.2095-4239.2019.0217

锂离子电池仿真模型的进展

冯燕^1,2, 郑莉莉^1,2, 戴作强^1,2, 张志超^1,2, 杜光超^1,2, 王栋^1,2

1 青岛大学动力集成及储能系统工程技术中心;
2 青岛大学机电工程学院, 山东青岛 260071

收稿日期:2019-09-26 修回日期:2019-11-05 出版日期:2019-12-05 发布日期:2019-11-08
通讯作者: 戴作强,硕士,教授,主要研究方向为新能源汽车动力系统,E-mail:daizuoqiangqdu@163.com
作者简介:冯燕(1996-),女,硕士研究生,主要研究方向为新能源汽车动力系统,E-mail:fyanqd@163.com
基金资助:
电动汽车储电系统电（储能电池）-电（动力电池/超级电容）耦合成组技术研究（40518060027）。

Progress in lithium ion battery simulation model

FENG Yan^1,2, ZHENG Lili^1,2, DAI Zuoqiang^1,2, ZHANG Zhichao^1,2, DU Guangchao^1,2, WANG Dong^1,2

1 University of Qingdao Power Integration and Energy Storage System Engineering Technology Research Center;
2 College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 260071, Shandong, China

Received:2019-09-26 Revised:2019-11-05 Online:2019-12-05 Published:2019-11-08

摘要/Abstract

摘要： 基于锂离子电池的仿真对新能源汽车动力电池的生产与应用的重要性，本文对锂离子电池模型的分类以及近年来的发展进行了分析，包括对集中质量模型、一维模型、二维模型、三维模型的研究，以及包含多个维度子模型的多物理场耦合模型的研究，并总结了当前模型的不足之处和未来需要发展的方向。

关键词: 锂离子电池, 温度, 多物理场耦合, 模拟

Abstract: Based on the importance of lithium-ion battery simulation in the production and application of new energy vehicle power batteries, the classification of lithium-ion battery models and the development in recent years, including the centralized quality model, one-dimensional model, two-dimensional model, three-dimensional model research and multi-physics coupled models with multiple dimensional sub-models, and summarizes the shortcomings of the current model and the future development needs.

Key words: lithium ion battery, temperature, multiphysics coupling, simulation

中图分类号:

X932

冯燕, 郑莉莉, 戴作强, 张志超, 杜光超, 王栋. 锂离子电池仿真模型的进展[J]. 储能科学与技术, 2019, 8(S1): 18-22.

FENG Yan, ZHENG Lili, DAI Zuoqiang, ZHANG Zhichao, DU Guangchao, WANG Dong. Progress in lithium ion battery simulation model[J]. Energy Storage Science and Technology, 2019, 8(S1): 18-22.

参考文献

[1] 朱伟杰,史尤杰,雷博.锂离子电池储能系统BMS的功能安全分析与设计[J/OL].储能科学与技术,[2019-09-25] . http://kns.cnki.net/kcms/detail/10.1076.tk.20190919.1535.001.html. ZHU Weijie, SHI youjie, LEI Bo. Functional safety analysis and design of bms for lithium-ion battery energy storage system[J/OL]. Energy Storage Science and Technology,[2019-09-25] . http://kns.cnki.net/kcms/detail/10.1076.tk.20190919.1535.001.html.
[2] FOAD H. GANDOMAN, JORIS J, et al. Concept of reliability and safety assessment of lithium-ion batteries in electric vehicles:Basics, progress, and challenges[J]. Applied Energy, 2019, doi:10.1016/j.apenergy.2019.113343.
[3] 张向倩,高月,黄飞.锂离子动力电池安全问题及防控技术分析[J].现代化工, 2019, 39(8):7-10. ZHANG Xiangqian, GAO Yue, HUANG Fei. Safety problems and prevention and control technology analysis of lithium-ion power battery[J]. Modern Chemical, 2019, 39(8):7-10.
[4] BOTTE G G, JOHNSON B A,WHITE R E. Influence of some design variables on the thermal behavior of a lithium-ion cell[J]. J. Electrochemical Society, 1999, 146:3.
[5] FORGEZ C, DO D V, FRIEDRICH G, et al. Thermal modeling of a cylindrical LiFePO₄/graphite lithium-ion battery[J]. Journal of Power Sources, 2010, 195(9):2961-2968.
[6] FANG W, KWON O J, WANG C. Electrochemical-thermal modeling of automotive Li-ion batteries and experimental validation using a three-electrode cell[J]. International Journal of Energy Research, 2010, 34(2):107-115.
[7] 虢放,薛明喆,张存满.电极厚度对锂离子电池电化学性能的影响[J].电源技术, 2017, 41(8):1114-1117,1123. GUO Fang, XUE Mingzhe, ZHANG Cunman. Effects of electrode thickness on electrochemical characteristics of lithium-ion batteries[J]. Chinese Journal of Power Sources, 2017, 41(8):1114-1117,1123.
[8] HOSSEINZADEH E, MARCO J, JENNINGS P. Electrochemicalthermal modelling and optimization of lithium-ion battery design parameters using analysis of variance[J]. Energies, 2017, 10(9):doi:10.3390/en10091278.
[9] 李小爽.动力锂离子电池温度场热分析[J].电源技术, 2014, 38(4):636-639. LI Xiaoshuang. Thermal analysis of temperature field of lithium-ion battery[J]. Chinese Journal of Power Sources, 2014, 38(4):636-639.
[10] 彭敏,申文静,罗兆东.层叠式锂离子电池二维热模型研究[J].电源技术, 2018, 42(9):1312-1315. PENG Min, SHEN Wenjing, LUO Zhaodong. Two-dimensional thermal modeling for laminated lithium ion battery[J]. Chinese Journal of Power Sources, 2018, 42(9):1312-1315.
[11] 张立军,程洪正.基于相似理论的锂电池三维电化学跨尺度建模[J].同济大学学报(自然科学版), 2016, 44(4):605-613. ZHANG Lijun, CHENG Hongzheng. Three-dimensional electrochemical cross-scale modeling of lithium batteries based on similarity theory[J]. Journal of Tongji University (Natural Science Edition), 2016, 44(4):605-613.
[12] 肖忠良,池振振,宋刘斌.动力锂离子电池仿真模型研究进展[J].化工进展, 2019, 38(8):3604-3611. XIAO Zhongliang, CHI Zhenzhen, SONG Liubin, et al. Research progress on simulation models of power lithium-ion batteries[J]. Chemical Industry and Engineering Progress 2019, 38(8):3604-3611.
[13] BERNARDI D, PAWLIKOWSKI E, NEWMAN J. A general energy balance for battery systems[J]. Journal of the Electrochemical Society, 1985, 132(1):5.
[14] KIM G H, PESARAN A. Battery thermal management system design modeling[C]//The 22nd International Battery, Hybrid and Fuel Cell Electric Vehicle Conference and Exhibition. Yokohama, Japan:Japan Automobile Research Institute, 2006.
[15] GHALKHANI M, BAHIRAEI F, NAZRI G A, et al. Electrochemicalthermal model of pouch-type lithium-ion batteries[J]. Electrochemical Acta, 2017:S0013468617314020.
[16] 张志超,郑莉莉,杜光超,等.基于多尺度锂离子电池电化学及热行为仿真实验研究[J/OL].储能科学与技术,[2019-09-25] . https://doi.org/10.19799/j.cnki.2095-4239.2019.0185. ZHANG Zhichao, ZHENG Lili, DU Guangchao, et al. Based on the experimental study of electrochemistry and thermal behavior of multi-scale lithium-ion batteries[J/OL]. Energy Storage Science and Technology,[2019-09-25] . https://doi.org/10.19799/j.cnki.2095-4239.2019.0185.
[17] 鄂加强,龙艳平,王曙辉,等.动力锂离子电池充电过程热模拟及影响因素灰色关联分析[J].中南大学学报(自然科学版), 2013(3):998-1005. E Jiaqiang, LONG Yanping, WANG Shuhui, et al. Thermal simulation on dynamic lithium-ion battery during charge and its grey relational analysis[J]. Journal of Central South University (Natural Science Edition), 2013(3):998-1005.
[18] GOUTAM S, NIKOLIAN A, JAGUEMONT J, et al. Three-dimensional electro-thermal model of Li-ion pouch cell:Analysis and comparison of cell design factors and model assumptions[J]. Applied Thermal Engineering, 2017, 126:796-808.
[19] PING P, WANG Q, CHUNG Y, et al. Modelling electro-thermal response of lithium-ion batteries from normal to abuse conditions[J]. Applied Energy, 2017, 205:1327-1344.
[20] RAO Z, WANG S. A review of power battery thermal energy management[J]. Renewable and Sustainable Energy Reviews, 2011, 15(9):4554-4571.
[21] GUO G, LONG B, CHENG B, et al. Three-dimensional thermal finite element modeling of lithium-ion battery in thermal abuse application[J]. Journal of Power Sources, 2010, 195(8):2393-2398.
[22] TROXLER Y, WU B, MARINESCU M, et al. The effect of thermal gradients on the performance of lithium-ion batteries[J]. Journal of Power Sources, 2014, 247:1018-1025.
[23] 李顶根,邹时波,郑军林,等.锂离子动力电池针刺滥用热失控仿真计算[J].汽车工程学报, 2018, 8(4):259-267. LI Dinggen, ZOU Shibo, ZHENG Junlin, et al. Simulation of nail penetration thermal runaway in lithium-ion power battery[J]. Chinese Journal of Automotive Engineering, 2018, 8(4):259-267.
[24] 刘冰河.含硅锂离子电池多尺度多物理场数值模型[C]//2018年全国固体力学学术会议摘要集(下),哈尔滨, 2018. LIU Binhe. Multi-scale and multi-physical field numerical model for lithium-ion batteries containing silicon[C]//Summary of the 2018 National Conference on Solid Mechanics (Part II), Harbin, 2018.
[25] MA T Y, CHEN L D, LIU S Q, et al. Mechanics-morphologic coupling studies of commercialized lithium-ion batteries under nail penetration test[J/OL]. Journal of Power Sources, 2019, https://doi.org/10.1016/j.jpowsour.2019.226928.

锂离子电池仿真模型的进展

Progress in lithium ion battery simulation model

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