Automotive Engineering ›› 2022, Vol. 44 ›› Issue (4): 495-504.doi: 10.19562/j.chinasae.qcgc.2022.04.005
Special Issue: 新能源汽车技术-动力电池&燃料电池2022年
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Tao Sun1,Xia Zheng1,Yuejiu Zheng1,2,Yufang Lu2,Ke Kuang1,Xuebing Han2()
Received:
2021-10-09
Revised:
2021-11-29
Online:
2022-04-25
Published:
2022-04-22
Contact:
Xuebing Han
E-mail:hanxuebing@mail.tsinghua.edu.cn
Tao Sun,Xia Zheng,Yuejiu Zheng,Yufang Lu,Ke Kuang,Xuebing Han. Fast Charging Control of Lithium-ion Batteries Based on Electrochemical- thermal Coupling Model[J].Automotive Engineering, 2022, 44(4): 495-504.
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参数 | 参数意义 | 单位 | 负极 | 隔膜 | 正极 |
---|---|---|---|---|---|
电极厚度 | 110a | 56a | 100a | ||
1C倍率下平均电流密度 | 20a | ||||
固相颗粒最大嵌锂浓度 | 72 357b | 57 012b | |||
负极初始时刻化学计量比 | 1 | 0.016 9/0.950 1b | |||
正极初始时刻化学计量比 | 1 | 0.78/0.134 8b | |||
活性物质总面积 | 2.6a | ||||
固相颗粒粒径 | 6c | 6c | |||
固相电导率 | 100d | 10d | |||
液相体积分数 | 1 | 0.350c | 0.4c | 0.435c | |
固相体积分数 | 1 | 0.478c | 0.306c | ||
固相有效电导率 | |||||
电解质初始盐浓度 | 2 000c | ||||
活化能 | 21 350e | 23 000e | |||
参考温度下的反应速率常数 | 3.5e-11d,e | 5e-11d,e | |||
液相离子电导率 | |||||
液相扩散系数 | |||||
参考温度下的固相扩散系数 | 3.9e-14d,e | 3e-12d,e | |||
参考温度 | 298.15 | ||||
传递系数 | 1 | 0.5 | 0.5 | ||
比热容 | 1125a | ||||
对流换热系数 | 23a | ||||
法拉第常数 | 96 487 | ||||
理想气体常数 | 8 314 | ||||
正极极片总长 | 1 682.1 | ||||
负极极片总长 | 1 689.3 | ||||
正极极片宽度 | 9.4 | ||||
负极极片宽度 | 9.5 | ||||
卷芯数量 | 2 |
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温度点 0 ℃ | 充电倍率 | 0.33C | 0.5C | 1C | ||
---|---|---|---|---|---|---|
温度/℃ | 0.299 | 0.288 | 0.262 | |||
电压/V | 0.012 | 0.019 | 0.022 | |||
负极电位/V | 0.004 | 0.004 | 0.015 | |||
温度点 25 ℃ | 充电倍率 | 0.33C | 1C | 2C | 3C | 4C |
温度/℃ | 0.268 | 0.546 | 0.332 | 0.293 | 0.465 | |
电压/V | 0.021 | 0.018 | 0.017 | 0.024 | 0.041 | |
负极电位/V | 0.015 | 0.010 | 0.019 | 0.025 | 0.028 | |
温度点 45 ℃ | 充电倍率 | 0.5C | 1C | 2C | 3C | 4C |
温度/℃ | 0.532 | 0.263 | 0.264 | 0.428 | 0.404 | |
电压/V | 0.027 | 0.029 | 0.035 | 0.035 | 0.031 | |
负极电位/V | 0.025 | 0.022 | 0.036 | 0.048 | 0.063 |
1 | 黄云辉. 锂离子电池:20世纪最重要的发明之一[J]. 科学通报, 2019, 64(36): 3811-3816. |
2 | OMAR N,MONEM M A,FIROUZ Y,et al,Lithium-iron phosphate based battery-assessment of the aging parameters and development of cycle life model[J].Applied Energy,2014,113:1575-1585. |
3 | GUAN T,SUN S,YU F,et al. The degradation of LiCoO2/graphite batteries at different rates[J].Electrochimica Acta,2018,279:204-212. |
4 | ZHANG S S,XU K,JOW T.Study of the charging process of a LiCoO2-based Li-ion battery[J].Journal of power sources,2006,160(2):1349-1354. |
5 | TIPPMANN S,WALPER D,BALBOA L,et al.Low-temperature charging of lithium-ion cells part i:Electrochemical modeling and experimental investigation of degradation behavior[J].Journal of Power Sources,2014,252:305-316. |
6 | REMMLINGER J,TIPPMANN S,BUCHHOLZ M,et al.Low-temperature charging of lithium-ion cells part ii:Model reduction and application[J]. Journal of Power Sources,2014,254:268-276. |
7 | CHU Z, FENG X, LU L, et al. Non-destructive fast charging algorithm of lithium-ion batteries based on the control-oriented electrochemical model[J]. Applied energy, 2017, 204: 1240-1250. |
8 | KONG X, PLETT G L, TRIMBOLI M S, et al. An exact closed-form impedance model for porous-electrode lithium-ion cells[J]. Journal of the Electrochemical Society, 2020,167: 013539. |
9 | KONG X, PLETT G L, TRIMBOLI M S, et al. Pseudo-two-dimensional model and impedance diagnosis of micro internal short circuit in lithium-ion cells[J]. Journal of Energy Storage, 2020, 27: 101085. |
10 | 任东生. 锂离子动力电池全生命周期热失控机理、建模与安全管理[D] . 北京: 清华大学, 2019. |
REN Dongsheng. Thermal runaway of lithium-ion power battery during the whole life cycle: mechanism, modeling and safety management[D]. Beijing: Tsinghua University, 2019. | |
11 | 朱聪, 李兴虎, 宋凌珺. 电动汽车用锂离子电池生热速率模型[J]. 汽车工程, 2014, 36(2): 174-180. |
ZHU C, LI X H, SONG L J. A model for the heat generation rate of lithium-ion battery for electric vehicles[J]. Automotive Engineering, 2014,36(2):174-180. | |
12 | GUO M, SIKHA G, WHITE R E. Single-particle model for a lithium-ion cell: thermal behavior[J]. Journal of the Electrochemical Society, 2011, 158(2): A122–A132. |
13 | YE Yonghuang, SHI Yixiang, CAI Ningsheng, et al. Electro-thermal modeling and experimental validation for lithium ion battery[J]. Journal of Power Sources, 2012, 199: 227–238. |
14 | DOYLE M, FULLER T F, NEWMAN J. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell[J]. Journal of the Electrochemical society, 1993, 140(6): 1526. |
15 | DOYLE M, NEWMAN J, GOZDZ A S, et al. Comparison of modeling predictions with experimental data from plastic lithium ion cells[J]. Journal of the Electrochemical Society, 1996, 143(6): 1890-1903. |
16 | TANG S,WANG Z,GUO H,et al.Systematic parameter acquisitionmethod for electrochemical model of 4.35V LiCoO2 batteries[J].Solid State Ionics,2019,343:115083. |
17 | 匡柯. 动力电池析锂模型与析锂检测技术研究[D]. 上海:上海理工大学,2021. |
KUANG Ke. Research on lithium analysis model and detection technology of power battery[D].Shanghai:University of Shanghai for Science and Technology,2021. | |
18 | 马克华. 锂离子电池参数获取及变参数模型[D]. 哈尔滨:哈尔滨工业大学,2014. |
MA Kehua.Parameter acquistion and variable parameters model for lithium-ion battery[D].Harbin:Harbin Institute of Technology,2014. |
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