Li-ion battery modeling and characterization: An experimental overview on NMC battery

被引:33
作者
Baccouche, Ines [1 ]
Jemmali, Sabeur [1 ]
Manai, Bilal [2 ]
Nikolian, Alexandros [3 ]
Omar, Noshin [3 ]
Ben Amara, Najoua Essoukri [1 ]
机构
[1] Univ Sousse, LATIS Lab Adv Technol & Intelligent Syst, Ecole Natl Ingenieurs Sousse, Sousse, Tunisia
[2] CEGEP Outaouais, Dept Elect Engn, Gatineau, PQ, Canada
[3] Vrije Univ Brussel VUB, ETEC Dept, MOBI Res Grp, Brussels, Belgium
关键词
battery; battery modeling; electric vehicle; NMC battery; CHARGE ESTIMATION; EQUIVALENT-CIRCUIT; STORAGE-SYSTEMS; STATE; HYBRID; PACK;
D O I
10.1002/er.7445
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
The market of Lithium-ion batteries has been growing strongly around the world for several years, especially the Nickel Manganese Cobalt Oxide (NMC) battery type which supplies almost all electric vehicles. This popularity requires optimal energy management and this needs precise modeling of the behavior of batteries for vehicular use. In this article, we present an overview of the existing electric battery models, including equivalent electrical circuits. A detailed study on the most used models is also presented. Subsequently, we detail the principle of the various characterization tests for extraction of the models parameters. Thus, we present the different parameters extracted for the models of NMC batteries of first and second order types. The accuracy of the two models was recorded by applying the dynamic discharge pulse validation test. The experimental results have shown better precision for the second order model which only exceeds by 1% of the first order model which is considered more suitable for embedded applications, hence, offering a compromise between ease of implementation and precision.
引用
收藏
页码:3843 / 3859
页数:17
相关论文
共 52 条
[41]  
Park S, 2017, P AMER CONTR CONF, P3777, DOI 10.23919/ACC.2017.7963533
[42]  
Pillot C., 2019, 36 ANN INT BATT SEM
[43]   Modeling and Simulating a Battery for an Electric Vehicle Based on Modelica [J].
Qin, Dongchen ;
Li, Jianjie ;
Wang, Tingting ;
Zhang, Dongming .
AUTOMOTIVE INNOVATION, 2019, 2 (03) :169-177
[44]   An analytical high-level battery model for use in energy management of portable electronic systems [J].
Rakhmatov, DN ;
Vrudhula, SBK .
ICCAD 2001: IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN, DIGEST OF TECHNICAL PAPERS, 2001, :488-493
[45]   A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation [J].
Seaman, Aden ;
Dao, Thanh-Son ;
McPhee, John .
JOURNAL OF POWER SOURCES, 2014, 256 :410-423
[46]   Three dimensional thermal model development and validation for lithium-ion capacitor module including air-cooling system [J].
Soltani, Mandi ;
Berckmans, Gert ;
Jaguemont, Joris ;
Ronsmans, Jan ;
Kakihara, Shouji ;
Hegazy, Omar ;
Van Mierlo, Joeri ;
Omar, Noshin .
APPLIED THERMAL ENGINEERING, 2019, 153 :264-274
[47]   Generalized Characterization Methodology for Performance Modelling of Lithium-Ion Batteries [J].
Stroe, Daniel-Ioan ;
Swierczynski, Maciej ;
Stroe, Ana-Irina ;
Kaer, Soren Knudsen .
BATTERIES-BASEL, 2016, 2 (04)
[48]  
Sun K, 2011, CHIN CONTR CONF, P3644
[49]   Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles [J].
Waag, Wladislaw ;
Fleischer, Christian ;
Sauer, Dirk Uwe .
JOURNAL OF POWER SOURCES, 2014, 258 :321-339
[50]   Design and use of multisine signals for Li-ion battery equivalent circuit modelling. Part 2: Model estimation [J].
Widanage, W. D. ;
Barai, A. ;
Chouchelamane, G. H. ;
Uddin, K. ;
McGordon, A. ;
Marco, J. ;
Jennings, P. .
JOURNAL OF POWER SOURCES, 2016, 324 :61-69