Characterization and Modeling of a Hybrid-Electric-Vehicle Lithium-Ion Battery Pack at Low Temperatures

被引:144
作者
Jaguemont, Joris [1 ]
Boulon, Loic [1 ]
Dube, Yves [2 ]
机构
[1] Univ Quebec Trois Rivieres, Hydrogen Res Inst, Trois Rivieres, PQ G9A 5H7, Canada
[2] Univ Quebec Trois Rivieres, Dept Mech Engn, Trois Rivieres, PQ G9A 5H7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Hybrid vehicles; lithium-ion battery; self-heating process; temperature effect; EXTENDED KALMAN FILTER; OF-CHARGE ESTIMATION; ENERGY MANAGEMENT; DYNAMICAL MODELS; STATE;
D O I
10.1109/TVT.2015.2391053
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Although lithium-ion batteries have penetrated hybrid electric vehicles (HEVs) and pure electric vehicles (EVs), they suffer from significant power capability losses and reduced energy at low temperatures. To evaluate those losses and to make an efficient design, good models are required for system simulation. Subzero battery operation involves nonclassical thermal behavior. Consequently, simple electrical models are not sufficient to predict bad performance or damage to systems involving batteries at subzero temperatures. This paper presents the development of an electrical and thermal model of an HEV lithium-ion battery pack. This model has been developed with MATLAB/Simulink to investigate the output characteristics of lithium-ion batteries over the selected operating range of currents and battery capacities. In addition, a thermal modeling method has been developed for this model so that it can predict the battery core and crust temperature by including the effect of internal resistance. First, various discharge tests on one cell are carried out, and then, cell's parameters and thermal characteristics are obtained. The single-cell model proposed is shown to be accurate by analyzing the simulation data and test results. Next, real working conditions tests are performed, and simulation calculations on one cell are presented. In the end, the simulation results of a battery pack under HEV driving cycle conditions show that the characteristics of the proposed model allow a good comparison with data from an actual lithium-ion battery pack used in an HEV.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 49 条
[1]   Broadband Identification of Battery Electrical Impedance for HEVs [J].
Al Nazer, R. ;
Cattin, V. ;
Granjon, P. ;
Montaru, Maxime ;
Ranieri, M. .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2013, 62 (07) :2896-2905
[2]   Solid-State Thermal Management for Lithium-Ion EV Batteries [J].
Alaoui, Chakib .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2013, 62 (01) :98-107
[3]  
[Anonymous], 2014, VEH POWER PROPULS C
[4]  
[Anonymous], 2011 IEEE VEH POW PR
[5]  
[Anonymous], 2011, CRC Handbook of Chemistry and Physics, V92nd
[6]  
[Anonymous], THESIS U TWENTE ENSC
[7]   Statistical analysis for understanding and predicting battery degradations in real-life electric vehicle use [J].
Barre, Anthony ;
Suard, Frederic ;
Gerard, Mathias ;
Montaru, Maxime ;
Riu, Delphine .
JOURNAL OF POWER SOURCES, 2014, 245 :846-856
[8]   Dynamical models of lead-acid batteries: Implementation issues [J].
Barsali, S ;
Ceraolo, M .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2002, 17 (01) :16-23
[9]   Novel Predictive Electric Li-Ion Battery Model Incorporating Thermal and Rate Factor Effects [J].
Bhide, Sachin ;
Shim, Taehyun .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (03) :819-829
[10]  
Bugga R, 2007, AEROSP CONF PROC, P3112