Battery Cell Charging Behavior Analysis Using Constant Current and Constant Voltage Methods

Anna Cyntia, Muhammad Imran Hamid, Ayu Elsa Afriyanti

Abstract


This study presents a detailed simulation of lithium-ion battery charging using the Constant Current/Constant Voltage (CC/CV) method. MATLAB is used in conjunction with certain mathematical algorithms, such as numerical integration and curve fitting, to simulate the charging process, utilizing parameters including a constant current of 1C and a voltage threshold of 4.2V. The simulation analyzes the charging efficiency, usable capacity, and internal impedance variation under various current levels and voltage thresholds. The CC/CV method is compared with findings from other studies that also used the CC/CV charging technique, highlighting similarities and differences in the results. This analysis reveals that while CC/CV is effective in balancing charging speed and safety, minimizing the risk of overcharging, some studies note challenges related to temperature variations and their impact on battery performance. While CC/CV offers optimal management for lithium-ion battery charging, future research can focus on investigating the long-term effects of CC/CV on battery life under various environmental conditions, considering the findings and methodologies of similar studies.

Keywords


Battery charging, Constant Current/Constant Voltage, Efficiency, Overcharging, Lithium-Ion batteries, Operational safety

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References


X. D. X. Dqj, E. D. Q. G. Lzhq, Q. Ri, Z. Lpsolhv, W. Lw, and L. V Kljko, “A Timely Review of Lithium-ion Batteries in Electic Vehicles: Progress, FutureOpportunities, and Challenges,” vol. 01015, 2021.

D. N. T. How, M. A. Hannan, M. S. H. Lipu, K. S. M. Sahari, P. J. Ker, and K. M. Muttaqi, “State-of-Charge Estimation of Li-Ion Battery in Electric Vehicles: A Deep Neural Network Approach,” IEEE Trans. Ind. Appl., vol. 56, no. 5, pp. 5565–5574, 2020, doi: 10.1109/TIA.2020.3004294.

R. He et al., “Towards interactional management for power batteries of electric vehicles,” RSC Adv., vol. 13, no. 3, pp. 2036–2056, 2023, doi: 10.1039/d2ra06004c.

D. Selvabharathi and N. Muruganantham, “Battery health and performance monitoring system: A closer look at state of health (SoH) assessment methods of a lead-acid battery,” Indones. J. Electr. Eng. Comput. Sci., vol. 18, no. 1, pp. 261–267, 2019, doi: 10.11591/ijeecs.v18.i1.pp261-267.

J. K. Thomas, H. R. Crasta, K. Kausthubha, C. Gowda, and A. Rao, “Battery monitoring system using machine learning,” J. Energy Storage, vol. 40, no. December 2020, p. 102741, 2021, doi: 10.1016/j.est.2021.102741.

S. Wang et al., “Effects of Current and Ambient Temperature on Thermal Response of Lithium Ion Battery,” Batteries, vol. 8, no. 11, 2022, doi: 10.3390/batteries8110203.

Y. Cao, K. Wang, Z. Wang, J. Wang, Y. Yang, and X. Xu, “Utilization of liquid nitrogen as efficient inhibitor upon thermal runaway of 18650 lithium ion battery in open space,” Renew. Energy, vol. 206, pp. 1097–1105, 2023, doi: https://doi.org/10.1016/j.renene.2023.02.117.

Y. Gao, C. Zhang, Q. Liu, Y. Jiang, W. Ma, and Y. Mu, “An optimal charging strategy of lithium-ion batteries based on polarization and temperature rise,” IEEE Transp. Electrif. Conf. Expo, ITEC Asia-Pacific 2014 - Conf. Proc., no. 1, pp. 1–6, 2014, doi: 10.1109/ITEC-AP.2014.6941149.

J. Jiang, C. Zhang, J. Wen, W. Zhang, and S. M. Sharkh, “An optimal charging method for li-ion batteries using a fuzzy-control approach based on polarization properties,” IEEE Trans. Veh. Technol., vol. 62, no. 7, pp. 3000–3009, 2013, doi: 10.1109/TVT.2013.2252214.

A. Tomaszewska et al., “Lithium-ion battery fast charging: A review,” eTransportation, vol. 1, p. 100011, 2019, doi: 10.1016/j.etran.2019.100011.

S. J. Thomson, P. Thomas, R. Anjali, and E. Rajan, “Design and Prototype Modelling of a CC/CV Electric Vehicle Battery Charging Circuit,” 2018 Int. Conf. Circuits Syst. Digit. Enterp. Technol. ICCSDET 2018, no. September, pp. 1–5, 2018, doi: 10.1109/ICCSDET.2018.8821071.

T. Feng, L. Yang, X. Zhao, H. Zhang, and J. Qiang, “Online identification of lithium-ion battery parameters based on an improved equivalent-circuit model and its implementation on battery state-of-power prediction,” J. Power Sources, vol. 281, pp. 192–203, 2015, doi: 10.1016/j.jpowsour.2015.01.154.

M. Auch, T. Kuthada, S. Giese, and A. Wagner, “Influence of Lithium-Ion-Battery Equivalent Circuit Model Parameter Dependencies and Architectures on the Predicted Heat Generation in Real-Life Drive Cycles,” Batteries, vol. 9, no. 5, 2023, doi: 10.3390/batteries9050274.

D. Mu, J. Jiang, and C. Zhang, “Online semiparametric identification of lithium-ion batteries using the wavelet-based partially linear battery model,” Energies, vol. 6, no. 5, pp. 2583–2604, 2013, doi: 10.3390/en6052583.

M. I. Akbar, M. Z. Efendi, and S. D. Nugraha, “SEPIC Converter for Lead Acid Battery Charger Using Fuzzy Logic type-2 Controller,” JAREE (Journal Adv. Res. Electr. Eng., vol. 6, no. 1, pp. 36–41, 2022, doi: 10.12962/jaree.v6i1.240.

B. Charging, “Wide-Load-Range Double-T Resonant Converter for CC / CV,” 2024.




DOI: https://doi.org/10.33387/protk.v12i2.8787

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