Frequency and Temporal Identification of a Li-ion Polymer Battery Model Using Fractional Impedance

被引:25
作者
Montaru, M. [1 ]
Pelissier, S. [1 ]
机构
[1] INRETS, F-69675 Bron, France
来源
OIL & GAS SCIENCE AND TECHNOLOGY-REVUE D IFP ENERGIES NOUVELLES | 2010年 / 65卷 / 01期
关键词
SPECTROSCOPY; CHARGE; STATE; PERFORMANCE; DISCHARGE;
D O I
10.2516/ogst/2009056
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
Frequency and Temporal Identification of a Li-ion Polymer Battery Model Using Fractional Impedance The modelling of high power Lithium batteries may work as a powerful tool in the sizing of batteries pack in hybrid vehicles. Moreover, this tool can be used to evaluate accurately the battery characteristics at each level of its lifetime. Until now, the model structure differs according to its end-use due to simulation limitation. Indeed, impedance measurements obtained by electrochemical impedance spectroscopy needs non-integer order impedance in order to correctly model diffusive phenomenon. However, this impedance cannot be simulated easily in software dedicated to hybrid vehicles and needs approximations. Furthermore, impedance measurements are realised with low currents comparing to currents that are forecast in normal uses of high power batteries and can induce errors if the impedance is varying with the current. This paper deals with non linear dynamic models that use band-limited frequency impedance with non-integer order. The parameters are identified partly by impedance measurements for high frequencies and partly by chronopotentiometry measurements for low frequencies. Validation tests are made with staircase of high intensity and current profile simulated on a hybrid vehicle software. The hypothesis of non-linearity is verified.
引用
收藏
页码:67 / 78
页数:12
相关论文
共 50 条
  • [21] ON SOME MODEL REDUCTION APPROACHES FOR SIMULATIONS OF PROCESSES IN LI-ION BATTERY
    Iliev, Oleg
    Latz, Arnulf
    Zausch, Jochen
    Zhang, Shiquan
    ALGORITMY 2012, 2012, : 161 - 171
  • [22] Comparison of Li-ion battery equivalent circuit modelling using impedance analyzer and Bayesian networks
    Khan, Khalid
    Jafari, Mehdi
    Gauchia, Lucia
    IET ELECTRICAL SYSTEMS IN TRANSPORTATION, 2018, 8 (03) : 197 - 204
  • [23] Electrochemical noise of a Li-ion battery: measurement and spectral analysis
    Astafev, E. A.
    JOURNAL OF SOLID STATE ELECTROCHEMISTRY, 2019, 23 (04) : 1145 - 1153
  • [24] Understanding Li-ion Battery Degradation Under Realistic Loads
    Mohammadi, Efat
    Headley, Alexander John
    PROCEEDINGS OF ASME 2024 18TH INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY, ES2024, 2024,
  • [25] Li-Ion Battery Material Impedance Analysis II: Graphite and Solid Electrolyte Interphase Kinetics
    Morasch, Robert
    Gasteiger, Hubert A.
    Suthar, Bharatkumar
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2024, 171 (05)
  • [26] An investigation of heat transfer and capacity fade in a prismatic Li-ion battery based on an electrochemical-thermal coupling model
    Jiang, Guiwen
    Zhuang, Ling
    Hu, Qinghua
    Liu, Ziqiang
    Huang, Juhua
    APPLIED THERMAL ENGINEERING, 2020, 171 (171)
  • [27] Towards impedance-based temperature estimation for Li-ion battery packs
    Beelen, Henrik
    Shivakumar, Kartik Mundaragi
    Raijmakers, Luc
    Donkers, M. C. F.
    Bergveld, Henk Jan
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2020, 44 (04) : 2889 - 2908
  • [28] Model for a bipolar Li-ion battery module: Automated model generation, validation and verification
    Somasundaram, Karthik
    Birgersson, Erik
    Mujumdar, Arun Sadashiv
    APPLIED MATHEMATICS AND COMPUTATION, 2012, 219 (04) : 2231 - 2245
  • [29] Novel low-complexity model development for Li-ion cells using online impedance measurement
    Kulkarni, Abhijit
    Nadeem, Ahsan
    Di Fonso, Roberta
    Zheng, Yusheng
    Teodorescu, Remus
    JOURNAL OF ENERGY STORAGE, 2024, 91
  • [30] State-of-Health Estimation Algorithm of Li-Ion Battery Using Impedance at Low Sampling Rate
    Goh, Taedong
    Park, Minjun
    Koo, Gyogwon
    Seo, Minhwan
    Kim, Sang Woo
    2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 146 - 150