Numerical modeling of electrical parameters of LiFePO4 batteries

Authors

DOI:

https://doi.org/10.15587/2706-5448.2024.304400

Keywords:

lithium-ion battery, electric model, parameters of the equivalent circuit of substitution, state of charge, temperature

Abstract

The object of research is the physical processes of electric energy storage in Li-ion batteries. The problem being solved in the work is related to the lack of reliable mathematical models of storage batteries, which leads to the appearance of undesirable effects or emergency situations when changing operating modes.

In the course of the work, Li-ion battery models based on electrochemical theory and electrical circuits were considered. The six most common equivalent battery replacement schemes are presented. The advantages and disadvantages of the considered substitution schemes are given. The dual-polarization mathematical model was found to most accurately describe the performance of the battery at the end of the discharge and charge cycles compared to the first-order Thevenin model, the RC model, and the active resistance battery model. The physical processes in the storage battery during pulse discharge, which is the main part of electrical energy storage systems based on electrochemical technology, were studied. Mathematical modeling was carried out in the Matlab software package using the Simulink application program package. The dependence of the parameters of the equivalent lithium-ion battery replacement scheme according to the second-order Thevenin model on the ambient temperature and state of charge is considered. It was established that the value of EMF E depends more on the change in SOC than on temperature. In turn, the active resistance ROM shows a greater dependence on temperature than on the change in SOC. At high temperatures, the resistance value decreases. The parameters R1 and C1 characterizing the electrochemical polarization vary in the range from 10 to 75 % SOC. The parameters R2 and C2, which depend on the concentration polarization, vary in the intervals from 0 to 25 % SOC and 75 to 100 % SOC.

The recommendations for choosing a Li-ion battery model developed in the work can be used in practice. The established dependencies will help to better design electrical energy storage systems based on electrochemical technology.

Author Biographies

Mykola Buryk, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

PhD, Associate Professor

Department of Theoretical Electric Engineering

Vadim Lobodzinsky, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

PhD, Associate Professor

Department of Theoretical Electric Engineering

Ivan Buryk, Sumy State University

PhD, Associate Professor

Department of Electronics, General and Aplied Physics

Oleksandr Lisovyi, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

Department of Theoretical Electric Engineering

References

  1. Mitali, J., Dhinakaran, S., Mohamad, A. A. (2022). Energy storage systems: a review. Energy Storage and Saving, 1 (3), 166–216. doi: https://doi.org/10.1016/j.enss.2022.07.002
  2. Zharkin, A. F., Popov, V. A., Yarmoliuk, O. S., Natalych, V. O. (2023). Features of organization and use of energy storage systems in distribution networks. Power Engineering: Economics, Technique, Ecology, 3, 44–52. doi: https://doi.org/10.20535/1813-5420.3.2022.271492
  3. Hossain, E., Murtaugh, D., Mody, J., Faruque, H. M. R., Haque Sunny, Md. S., Mohammad, N. (2019). A Comprehensive Review on Second-Life Batteries: Current State, Manufacturing Considerations, Applications, Impacts, Barriers & Potential Solutions, Business Strategies, and Policies. IEEE Access, 7, 73215–73252. doi: https://doi.org/10.1109/access.2019.2917859
  4. Zhu, G., Wu, O., Wang, Q., Kang, J., Wang, J. V. (2023). The Modeling and SOC Estimation of a LiFePO4 Battery Considering the Relaxation and Overshoot of Polarization Voltage. Batteries, 9 (7), 369. doi: https://doi.org/10.3390/batteries9070369
  5. Peretvorennia ta akumuliuvannia enerhii vidnovliuvanykh dzherel: laboratornyi praktykum (2022). Kyiv: KPI im. Ihoria Sikorskoho, 80.
  6. Smyrnov, O., Borysenko, A. (2023). Comparative analysis of electrical models of lith-ium-ion batteries in electric vehicles. Vehicle and Electronics. Innovative Technologies, 24, 50–61. doi: https://doi.org/10.30977/veit.2023.24.0.5
  7. Plakhtii, O., Nerubatskyi, V., Mashura, A., Hordiienko, D. (2020) The Analysis of Mathematical Models of Charge-Discharge Characteristics in Lithium-Ion Batteries. 2020 IEEE 40th International Conference on Electronics and Nanotechnology (ELNANO). Kyiv, 635–640. doi: https://doi.org/10.1109/elnano50318.2020.9088827
  8. Odeim, F., Roes, J., Heinzel, A. (2015). Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System. Energies, 8 (7), 6302–6327. doi: https://doi.org/10.3390/en8076302
  9. Huria, T., Ceraolo, M., Gazzarri, J., Jackey, R. (2012). High fidelity electrical model with thermal dependence for characterization and simulation of high power lithium battery cells. 2012 IEEE International Electric Vehicle Conference. doi: https://doi.org/10.1109/ievc.2012.6183271
  10. Long, X., Lu, J., Wu, Y., Liu, L. (2019). Research On High Rate Lithium-ion Batteries For Electromagnetic Launcher. 2019 22nd International Conference on Electrical Machines and Systems (ICEMS). doi: https://doi.org/10.1109/icems.2019.8921582
Numerical modeling of electrical parameters of LiFePO4 batteries

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Published

2024-06-28

How to Cite

Buryk, M., Lobodzinsky, V., Buryk, I., & Lisovyi, O. (2024). Numerical modeling of electrical parameters of LiFePO4 batteries. Technology Audit and Production Reserves, 3(1(77), 27–34. https://doi.org/10.15587/2706-5448.2024.304400

Issue

Section

Technology and System of Power Supply