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.
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页数:11
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共 48 条
  • [41] Generalized recursive algorithm for adaptive multiparameter regression - Application to lead acid, nickel metal hydride, and lithium-ion batteries
    Verbrugge, M
    Koch, B
    [J]. JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2006, 153 (01) : A187 - A201
  • [42] Application-specific parameterization of reduced order equivalent circuit battery models for improved accuracy at dynamic load
    Waag, Wladislaw
    Kaebitz, Stefan
    Sauer, Dirk Uwe
    [J]. MEASUREMENT, 2013, 46 (10) : 4085 - 4093
  • [43] Design and use of multisine signals for Li-ion battery equivalent circuit modelling. Part 2: Model estimation
    Widanage, W. D.
    Barai, A.
    Chouchelamane, G. H.
    Uddin, K.
    McGordon, A.
    Marco, J.
    Jennings, P.
    [J]. JOURNAL OF POWER SOURCES, 2016, 324 : 61 - 69
  • [44] Robust and Adaptive Estimation of State of Charge for Lithium-Ion Batteries
    Zhang, Caiping
    Wang, Le Yi
    Li, Xue
    Chen, Wen
    Yin, George G.
    Jiang, Jiuchun
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (08) : 4948 - 4957
  • [45] Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique
    Zhang, Cheng
    Allafi, Walid
    Dinh, Quang
    Ascencio, Pedro
    Marco, James
    [J]. ENERGY, 2018, 142 : 678 - 688
  • [46] Improved Realtime State-of-Charge Estimation of LiFePO4 Battery Based on a Novel Thermoelectric Model
    Zhang, Cheng
    Li, Kang
    Deng, Jing
    Song, Shiji
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (01) : 654 - 663
  • [47] An integrated approach for real-time model-based state-of-charge estimation of lithium-ion batteries
    Zhang, Cheng
    Li, Kang
    Pei, Lei
    Zhu, Chunbo
    [J]. JOURNAL OF POWER SOURCES, 2015, 283 : 24 - 36
  • [48] Modeling the Effects of Thermal Gradients Induced by Tab and Surface Cooling on Lithium Ion Cell Performance
    Zhao, Yan
    Patel, Yatish
    Zhang, Teng
    Offer, Gregory J.
    [J]. JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2018, 165 (13) : A3169 - A3178