Progress of the simulation model for power lithium ion battery

被引:0
|
作者
Xiao, Zhongliang [1 ]
Chi, Zhenzhen [1 ]
Song, Liubin [1 ]
Cao, Zhong [1 ]
Li, Anxian [1 ]
机构
[1] Hunan Provincial Key Laboratory of Materials Protection for Electric Power and Transportation, School of Chemistry and Food Engineering, Changsha University of Science and Technology, Changsha,Hunan,410114, China
来源
Huagong Jinzhan/Chemical Industry and Engineering Progress | 2019年 / 38卷 / 08期
关键词
Battery management systems - Ions - Numerical models - Thermodynamics;
D O I
10.16085/j.issn.1000-6613.2018-2176
中图分类号
学科分类号
摘要
Lithium-ion batteries have received extensive attention as an excellent power source for new energy electric vehicles, and high-performance lithium-ion batteries are very important to the development of electric vehicles. Numerical simulation technology has overcome the limitations of traditional experiments and greatly promotes the research of lithium-ion batteries. Simulation models can couple multiple chemical reactions and physical fields, making it efficiently to predict the impact of various factors on the battery performance. And the biggest challenge for designing the battery models is to make the simulation results as close as possible to the real situation. Battery thermal model, perspectives of electrical model, the aging model and other models are applied in this paper to compare the simulation results about lithium-ion batteries. Besides, the advantages and disadvantages of each model are outlined. Furthermore, this paper puts forward the future developing trends of simulation: ① to explore the interaction relationship of multiple physical fields; ② to extend the applications of the models; ③ to improve the performance of battery materials and optimize the assembly method and the structure. © 2019, Chemical Industry Press. All right reserved.
引用
收藏
页码:3604 / 3611
相关论文
共 50 条
  • [21] Progress of model based SOC and SOH estimation methods for lithium-ion battery
    Shen J.
    He Y.
    Ma Z.
    Ma, Zifeng (zfma@sjtu.edu.cn), 2018, Materials China (69): : 309 - 316
  • [22] Lithium-ion Battery Electrothermal Model, Parameter Estimation, and Simulation Environment
    Orcioni, Simone
    Buccolini, Luca
    Ricci, Adriana
    Conti, Massimo
    ENERGIES, 2017, 10 (03)
  • [23] Lithium ion battery power for marine devices
    Crowell, Jon
    SEA TECHNOLOGY, 2006, 47 (07) : 29 - +
  • [24] Influence of Temperature and Pressure on the Wetting Progress in 21700 Lithium-Ion Battery Cells: Experiment, Model, and Lattice Boltzmann Simulation
    Wanner, Johannes
    Burgard, Matthias
    Othrnan, Nabih
    Singh, Sournya
    Birke, Kai Peter
    BATTERIES & SUPERCAPS, 2024,
  • [25] Simulation research of effect of electrode structure on polarization characteristics of power lithium ion battery
    Jia M.
    Li L.-X.
    Li S.-G.
    Liu Y.
    Jiang L.-X.
    Liu F.-Y.
    Ai Y.
    Gu H.-J.
    Zhongguo Youse Jinshu Xuebao/Chinese Journal of Nonferrous Metals, 2020, 30 (03): : 620 - 628
  • [26] Modification Method of Electrochemical Model for Vehicular Lithium-ion Power Battery
    Xu X.
    Xu Q.
    Wang F.
    Yang S.
    Zhou Z.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2019, 55 (12): : 128 - 136
  • [27] Advanced Lithium-Ion Battery Model for Power System Performance Analysis
    Potrykus, Szymon
    Kutt, Filip
    Nieznanski, Janusz
    Fernandez Morales, Francisco Jesus
    ENERGIES, 2020, 13 (10)
  • [28] State of power estimation of power lithium-ion battery based on an equivalent circuit model
    Wu, Muyao
    Qin, Linlin
    Wu, Gang
    JOURNAL OF ENERGY STORAGE, 2022, 51
  • [29] Research Progress on Lithium Titanate as Anode Material in Lithium-ion Battery
    Yi, Tan
    Bing, Xue
    JOURNAL OF INORGANIC MATERIALS, 2018, 33 (05) : 475 - 482
  • [30] Research Progress of the Aqueous Electrolyte Rechargeable Lithium Ion Battery
    Zhang Naiqing
    Li Wei
    Liu Zhimin
    Sun Kening
    RARE METAL MATERIALS AND ENGINEERING, 2012, 41 (02) : 372 - 376