Simulation and parameter identification based on electrochemical-thermal coupling model of power lithium ion-battery

被引:38
作者
Liu, Yu [1 ]
Tang, Shui [1 ]
Li, Lixiang [1 ]
Liu, Fangyang [1 ]
Jiang, Liangxing [1 ]
Jia, Ming [1 ]
Ai, Yan [2 ]
Yao, Chunmei [3 ]
Gu, Huijun [3 ]
机构
[1] Ctr South Univ, Sch Met & Environm, Changsha 410083, Peoples R China
[2] Hunan City Univ, Hunan Prov Key Lab All Solid State Energy Storage, Yiyang 413000, Peoples R China
[3] Hunan Huahui New Energy Co Ltd, Yiyang 413000, Peoples R China
基金
中国国家自然科学基金;
关键词
Lithium-ion battery; Electrochemical behavior; Numerical model; Parameter identification; SENSITIVITY-ANALYSIS; OPTIMIZATION; CAPACITY; TRANSPORT; BEHAVIOR; CELLS;
D O I
10.1016/j.jallcom.2020.156003
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Based on the electrochemical-thermal coupling model of lithium-ion battery, the electrochemical behavior and parameter sensitivity identification of the numerical model are profoundly studied. Also, the internal physico-chimica evolution and design optimization under different working conditions are analyzed. On this basis, summarized is the sensitivity of 23 parameters such as electrode structure parameters, material property parameters and kinetics parameters of the power lithium-ion battery, and the battery design is therefore optimized. The research shows that if the battery voltage is used as the basis for measuring the degree of dispersion of the model output when the parameters are changed, the parameter identification work can be more accurate. The 23 parameters selected in this paper are identified, and the high, medium, low and non-sensitive parameters are respectively 7, 8, 4, 4; changes in design parameters will cause changes in the state of charge, which in turn affect the model output. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:12
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共 32 条
  • [1] Design optimization of LiNi0.6Co0.2Mn0.2O2/graphite lithium-ion cells based on simulation and experimental data
    Appiah, Williams Agyei
    Park, Joonam
    Song, Seonghyun
    Byun, Seoungwoo
    Ryou, Myung-Hyun
    Lee, Yong Min
    [J]. JOURNAL OF POWER SOURCES, 2016, 319 : 147 - 158
  • [2] A review on lithium-ion battery ageing mechanisms and estimations for automotive applications
    Barre, Anthony
    Deguilhem, Benjamin
    Grolleau, Sebastien
    Gerard, Mathias
    Suard, Frederic
    Riu, Delphine
    [J]. JOURNAL OF POWER SOURCES, 2013, 241 : 680 - 689
  • [3] Feasibility and sensitivity analysis of an off-grid micro hydro-photovoltaic-biomass and biogas-diesel-battery hybrid energy system for a remote area in Uttarakhand state, India
    Bhatt, Ankit
    Sharma, M. P.
    Saini, R. P.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 61 : 53 - 69
  • [4] Numerical modeling and analysis of the thermal behavior of NCM lithium-ion batteries subjected to very high C-rate discharge/charge operations
    Dong, Ti
    Peng, Peng
    Jiang, Fangming
    [J]. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2018, 117 : 261 - 272
  • [5] Analysis of capacity-rate data for lithium batteries using simplified models of the discharge process
    Doyle, M
    Newman, J
    [J]. JOURNAL OF APPLIED ELECTROCHEMISTRY, 1997, 27 (07) : 846 - 856
  • [6] A QUICK METHOD OF MEASURING THE CAPACITY VERSUS DISCHARGE RATE FOR A DUAL LITHIUM-ION INSERTION CELL UNDERGOING CYCLING
    DOYLE, M
    NEWMAN, J
    REIMERS, J
    [J]. JOURNAL OF POWER SOURCES, 1994, 52 (02) : 211 - 216
  • [7] Parameter sensitivity analysis of a simplified electrochemical and thermal model for Li-ion batteries aging
    Edouard, C.
    Petit, M.
    Forgez, C.
    Bernard, J.
    Revel, R.
    [J]. JOURNAL OF POWER SOURCES, 2016, 325 : 482 - 494
  • [8] Genetic identification and fisher identifiability analysis of the Doyle-Fuller-Newman model from experimental cycling of a LiFePO4 cell
    Forman, Joel C.
    Moura, Scott J.
    Stein, Jeffrey L.
    Fathy, Hosam K.
    [J]. JOURNAL OF POWER SOURCES, 2012, 210 : 263 - 275
  • [9] Multiscale modelling and numerical simulation of rechargeable lithium ion batteries: concepts, methods and challenges
    Franco, Alejandro A.
    [J]. RSC ADVANCES, 2013, 3 (32) : 13027 - 13058
  • [10] Structural, electrochemical and Li-ion transport properties of Zr-modified LiNi0.8Co0.1Mn0.1O2 positive electrode materials for Li-ion batteries
    Gao, Shuang
    Zhan, Xiaowen
    Cheng, Yang-Tse
    [J]. JOURNAL OF POWER SOURCES, 2019, 410 : 45 - 52