Comprehensive electro-thermal model of 26650 lithium battery for discharge cycle under parametric and temperature variations

被引:32
作者
Chin, C. S. [1 ,2 ]
Gao, Z. [3 ]
Zhang, C. Z. [2 ]
机构
[1] Newcastle Univ Singapore, Fac Sci Agr & Engn, Singapore 599493, Singapore
[2] Chongqing Univ, Chongqing Automot Collaborat Innovat Ctr, State Key Lab Mech Transmiss, Sch Automot Engn, Chongqing 400044, Peoples R China
[3] Temasek Polytech, Clean Energy Res Ctr, Sch Engn, 21 Tampines Ave 1, Singapore 529757, Singapore
关键词
26650 LiFePO4 battery cell; Electro-thermal model; Ambient temperature; Core temperature; Surface temperature; Battery stack; LI-ION BATTERY; THERMAL-MODEL; MANAGEMENT; CHARGE; STATE; BEHAVIOR; DESIGN; ISSUES; POWER;
D O I
10.1016/j.est.2020.101222
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Ambient temperature affects the electro-thermal performance of lithium iron phosphate (LiFePO4) batteries in electric vehicles. This paper proposes a combined electro-thermal state-space model for estimating the surface and core temperature of the battery cell and stack. A detailed experimental setup is used to determine the internal resistance and resistor-capacitor (RC) model of the electrical battery cell model and relationships between state-of-charge (SOC), open-circuit voltage and terminal voltage values at different ambient temperatures. The coupling between the electrical and thermal model provides estimation of voltage, core and surface temperatures under thermal uncertainties using measurable voltage, current and ambient temperature. The open-circuit voltage remains quite independent with ambient temperature at SOC value between 0.3 to 0.95 with a higher variation at 5 degrees C and 15 degrees C. The thermal parameters are identified as 2.23 k/W, 71.5 J/K and 4.35 k/W, respectively. The different between the surface and ambient temperature is around 3.6 K as compared to core and surface temperature of around 2 K. The mean square error of the surface temperature between measurement and simulation of the battery stack is around 3 degrees C.
引用
收藏
页数:17
相关论文
共 46 条
[1]   Thermal modeling and design considerations of lithium-ion batteries [J].
Al Hallaj, S ;
Maleki, H ;
Hong, JS ;
Selman, JR .
JOURNAL OF POWER SOURCES, 1999, 83 (1-2) :1-8
[2]   New Electro-Thermal Battery Pack Model of an Electric Vehicle [J].
Alhanouti, Muhammed ;
Giessler, Martin ;
Blank, Thomas ;
Gauterin, Frank .
ENERGIES, 2016, 9 (07)
[3]  
[Anonymous], [No title captured]
[4]   Communications Concerns for Reused Electric Vehicle Batteries in Smart Grids [J].
Canals Casals, Lluc ;
Amante Garcia, Beatriz .
IEEE COMMUNICATIONS MAGAZINE, 2016, 54 (09) :120-125
[5]   Accurate electrical battery model capable of predicting, runtime and I-V performance [J].
Chen, Min ;
Rincon-Mora, Gabriel A. .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2006, 21 (02) :504-511
[6]   Thermal analysis of lithium-ion batteries [J].
Chen, SC ;
Wan, CC ;
Wang, YY .
JOURNAL OF POWER SOURCES, 2005, 140 (01) :111-124
[7]   Simultaneous Fault Isolation and Estimation of Lithium-Ion Batteries via Synthesized Design of Luenberger and Learning Observers [J].
Chen, Wen ;
Chen, Wei-Tian ;
Saif, Mehrdad ;
Li, Meng-Feng ;
Wu, Hai .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2014, 22 (01) :290-298
[8]   A pseudo three-dimensional electrochemical-thermal model of a cylindrical LiFePO4/graphite battery [J].
Chiew, J. ;
Chin, C. S. ;
Toh, W. D. ;
Gao, Z. ;
Jia, J. ;
Zhang, C. Z. .
APPLIED THERMAL ENGINEERING, 2019, 147 :450-463
[9]   Model-Based Battery Thermal Fault Diagnostics: Algorithms, Analysis, and Experiments [J].
Dey, Satadru ;
Perez, Hector E. ;
Moura, Scott J. .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (02) :576-587
[10]   Adaptive approach for on-board impedance parameters and voltage estimation of lithium-ion batteries in electric vehicles [J].
Farmann, Alexander ;
Waag, Wladislaw ;
Sauer, Dirk Uwe .
JOURNAL OF POWER SOURCES, 2015, 299 :176-188