Finding a better fit for lithium ion batteries: A simple, novel, load dependent, modified equivalent circuit model and parameterization method

被引:42
作者
Hua, Xiao [1 ]
Zhang, Cheng [1 ,3 ]
Offer, Gregory [1 ,2 ]
机构
[1] Imperial Coll London, Dept Mech Engn, London SW7 2AZ, England
[2] Harwell Sci & Innovat Campus, Faraday Inst, Didcot, Oxon, England
[3] Coventry Univ, Inst Future Transport & Cities, Coventry CV1 5FB, W Midlands, England
关键词
Lithium-ion battery; Equivalent circuit model parameterization; Parameter identification method; Lithium iron phosphate; Electric vehicle; Stationary energy storage; OF-CHARGE ESTIMATION; THERMAL-MODEL; PART; STATE; MANAGEMENT; DESIGN; IDENTIFICATION; EXTRACTION; ALGORITHM; ELECTRODE;
D O I
10.1016/j.jpowsour.2020.229117
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
Equivalent circuit models (ECM) of lithium ion batteries are used in many applications because of their ease of implementation and low complexity. The accuracy of an ECM is critical to the functionality and usefulness of the battery management system (BMS). The ECM accuracy depends on the parametrization method, and therefore different experimental techniques and model parameter identification methods (PIM) have been widely studied. Yet, how to account for significant changes in time constants between operation under load and during relaxation has not been resolved. In this work a novel PIM and modified ECM is presented that increases accuracy by 77.4% during drive cycle validation and 87.6% during constant current load validation for a large format lithium iron phosphate prismatic cell. The modified ECM uses switching RC network values for each phase, which is significant for this cell and particularly at low state-of-charge for all lithium ion batteries. Different characterisation tests and the corresponding experimental data have been trained together across a complete State-of-Charge (SoC) and temperature range, which enables a smooth transition between identified parameters. Ultimately, the model created using parameters captured by the proposed PIM shows an improved model accuracy in comparison with conventional PIM techniques.
引用
收藏
页数:11
相关论文
共 48 条
  • [1] On-line scheme for parameter estimation of nonlinear lithium ion battery equivalent circuit models using the simplified refined instrumental variable method for a modified Wiener continuous-time model
    Allafi, Walid
    Uddin, Kotub
    Zhang, Cheng
    Sha, Raja Mazuir Raja Ahsan
    Marco, James
    [J]. APPLIED ENERGY, 2017, 204 : 497 - 508
  • [2] A study of the open circuit voltage characterization technique and hysteresis assessment of lithium-ion cells
    Barai, Anup
    Widanage, W. Dhammika
    Marco, James
    McGordon, Andrew
    Jennings, Paul
    [J]. JOURNAL OF POWER SOURCES, 2015, 295 : 99 - 107
  • [3] Beelen HPGJ, 2018, 2018 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA), P1526, DOI 10.1109/CCTA.2018.8511529
  • [4] Extraction of battery parameters of the equivalent circuit model using a multi-objective genetic algorithm
    Brand, Jonathan
    Zhang, Zheming
    Agarwal, Ramesh K.
    [J]. JOURNAL OF POWER SOURCES, 2014, 247 : 729 - 737
  • [5] Validation and benchmark methods for battery management system functionalities: State of charge estimation algorithms
    Campestrini, Christian
    Horsche, Max F.
    Zilberman, Ilya
    Heil, Thomas
    Zimmermann, Thomas
    Jossen, Andreas
    [J]. JOURNAL OF ENERGY STORAGE, 2016, 7 : 38 - 51
  • [6] State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach
    Chemali, Ephrem
    Kollmeyer, Phillip J.
    Preindl, Matthias
    Emadi, Ali
    [J]. JOURNAL OF POWER SOURCES, 2018, 400 : 242 - 255
  • [7] Adaptive model parameter identification for large capacity Li-ion batteries on separated time scales
    Dai, Haifeng
    Xu, Tianjiao
    Zhu, Letao
    Wei, Xuezhe
    Sun, Zechang
    [J]. APPLIED ENERGY, 2016, 184 : 119 - 131
  • [8] Modeling a porous intercalation electrode with two characteristic particle sizes
    Darling, R
    Newman, J
    [J]. JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 1997, 144 (12) : 4201 - 4208
  • [9] MODELING OF GALVANOSTATIC CHARGE AND DISCHARGE OF THE LITHIUM POLYMER INSERTION CELL
    DOYLE, M
    FULLER, TF
    NEWMAN, J
    [J]. JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 1993, 140 (06) : 1526 - 1533
  • [10] THE USE OF MATHEMATICAL-MODELING IN THE DESIGN OF LITHIUM POLYMER BATTERY SYSTEMS
    DOYLE, M
    NEWMAN, J
    [J]. ELECTROCHIMICA ACTA, 1995, 40 (13-14) : 2191 - 2196