Issue

Vol. 10, No. 2, May 2025

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Design and simulation of battery charging system with constant temperature – constant voltage method

https://doi.org/10.22219/kinetik.v10i2.2194
Indhana Sudiharto
Politeknik Elektronika Negeri Surabaya
Endro Wahjono
Politeknik Elektronika Negeri Surabaya
Muhammad Yudha Sasetyo
Politeknik Elektronika Negeri Surabaya
Suryono
Politeknik Elektronika Negeri Surabaya
Anang Budikarso
Politeknik Elektronika Negeri Surabaya

Corresponding Author(s) : Indhana Sudiharto

indhana@pens.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 10, No. 2, May 2025

Abstract

Batteries are essential to many contemporary applications, including electric cars and portable electronics. Overheating and charging time efficiency are the two biggest issues with battery charging. Overheating presents safety hazards and hastens battery deterioration. Due to their inability to regulate temperature, conventional charging techniques like Constant Current - Constant Voltage (CC-CV) result in excessive temperature rises during battery charging, which shortens battery life. A novel approach that helps lessen excessive temperature rises is the Constant Temperature - Constant Voltage (CT-CV) method, according to researchers. In order to avoid excessive temperature increases during the initial charging, the CT technique initially regulates the applied temperature. Second, to guarantee full capacity without causing damage to the battery, the CV technique is used to maintain a steady voltage. A fuzzy logic controller (FLC) control system is used to regulate the temperature and current at the DC-DC converter's output. The FLC control system's goal is to control the duty cycle such that the buck converter's output is 65V 11.5A. The simulation results show that the CT-CV method can reduce the increase in temperature in the battery with an average temperature during the battery charging process of 23.57 ° C with fuzzy control and 23.71 ° C with PI control. In addition, by comparing two control systems with the CT-CV method, namely PI and fuzzy, it was found that the fuzzy method was able to accelerate battery charging by 4.16% compared to the PI control.

Keywords

Battery Charging Buck Converter Fuzzy Logic Controller Lifepo4
Sudiharto, I., Wahjono, E., Sasetyo, M. Y., Suryono, & Budikarso, A. (2025). Design and simulation of battery charging system with constant temperature – constant voltage method. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 10(2). https://doi.org/10.22219/kinetik.v10i2.2194
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX
References
  1. Zhang, W., Fang, X., & Sun, C. (2023). The alternative path for fossil oil: Electric vehicles or hydrogen fuel cell vehicles? Journal of Environmental Management, 341, 118019. https://doi.org/10.1016/J.JENVMAN.2023.118019
  2. Sun, X., Li, Z., Wang, X., & Li, C. (2019). Technology development of electric vehicles: A review. Energies, 13(1). https://doi.org/10.3390/en13010090
  3. Duan, J., Tang, X., Dai, H., Yang, Y., Wu, W., Wei, X., & Huang, Y. (2020). Building Safe Lithium-Ion Batteries for Electric Vehicles: A Review. In Electrochemical Energy Reviews (Vol. 3, Issue 1). Springer Science and Business Media B.V. https://doi.org/10.1007/s41918-019-00060-4
  4. Wen, J., Zhao, D., & Zhang, C. (2020). An overview of electricity powered vehicles: Lithium-ion battery energy storage density and energy conversion efficiency. Renewable Energy, 162, 1629–1648. https://doi.org/10.1016/J.RENENE.2020.09.055
  5. Horiba, T. (2014). Lithium-ion battery systems. Proceedings of the IEEE, 102(6), 939–950. https://doi.org/10.1109/JPROC.2014.2319832
  6. Olabi, A. G., Abbas, Q., Shinde, P. A., & Abdelkareem, M. A. (2023). Rechargeable batteries: Technological advancement, challenges, current and emerging applications. Energy, 266, 126408. https://doi.org/10.1016/J.ENERGY.2022.126408
  7. Omariba, Z. B., Zhang, L., & Sun, D. (2019). Review of Battery Cell Balancing Methodologies for Optimizing Battery Pack Performance in Electric Vehicles. IEEE Access, 7, 129335–129352. https://doi.org/10.1109/ACCESS.2019.2940090
  8. D. Kumar and M. Das, "Optimized Charging Method for Fast Charging of EV Batteries," IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 2023, pp. 1-6, doi: 10.1109/IECON51785.2023.10312699
  9. R. Paidi and S. K. Gudey, "Active and Passive Cell Balancing Techniques for Li-Ion Batteries used in EVs," 2022 IEEE International Power and Renewable Energy Conference (IPRECON), Kollam, India, 2022, pp. 1-6, doi: 10.1109/IPRECON55716.2022.10059573.
  10. S, H. (2021). Overview of cell balancing methods for Li‐ion battery technology. Energy Storage, 3(2). https://doi.org/10.1002/est2.203
  11. Thiruvonasundari, D., & Deepa, K. (2023). Optimized Passive Cell Balancing for Fast Charging in Electric Vehicle. IETE Journal of Research, 69(4), 2089–2097. https://doi.org/10.1080/03772063.2021.1886604
  12. Kumar, S., Rao, S. K., Singh, A. R., & Naidoo, R. (2023). Switched-Resistor Passive Balancing of Li-Ion Battery Pack and Estimation of Power Limits for Battery Management System. International Journal of Energy Research, 2023. https://doi.org/10.1155/2023/5547603
  13. Singirikonda, S., & Obulesu, Y. P. (2021). Active cell voltage balancing of Electric vehicle batteries by using an optimized switched capacitor strategy. Journal of Energy Storage, 38, 102521. https://doi.org/10.1016/J.EST.2021.102521
  14. Dumitrescu, C., Ciotirnae, P., & Vizitiu, C. (2021). Fuzzy logic for intelligent control system using soft computing applications. Sensors, 21(8). https://doi.org/10.3390/s21082617
  15. Y. Shekhar and A. U. Ahmad, "A Performance Comparison Study of Hybrid Electric Vehicle Between Type-1 And Interval Type-2.0 FLC," 2023 International Conference on Power, Instrumentation, Energy and Control (PIECON), Aligarh, India, 2023, pp. 1-6, doi: 10.1109/PIECON56912.2023.10085834.
  16. B. Joshi, J. K. Maherchandani and A. A. Chhipa, "Comparison Between Open and Closed Loop Battery Charging Technique for Lithium-ion Battery," 2021 7th International Conference on Electrical Energy Systems (ICEES), Chennai, India, 2021, pp. 150-155, doi: 10.1109/ICEES51510.2021.9383692
  17. I. Sudiharto, M. I. Rahadyan, and O. A. Qudsi, “Design and Implementation of Buck Converter for Fast Charging with Fuzzy Logic,” JAREE (Journal on Advanced Research in Electrical Engineering), vol. 5, no. 1, Apr. 2021.https://doi.org/10.12962/jaree.v5i1.146
  18. . Irianto, Y.S. Diah, and R. Faris. " Desain dan Simulasi Battery Charger Metode CCCV (Constant Current-Constant Voltage) dengan Kontrol Logika Fuzzy Menggunakan MATLAB ", Jurnal Cyclocotron, vol. 4, no. 2, Juli 2021
  19. PatnaikChuang, C. C., Yao, C. J., & Wu, S. T. (2020, November 4). Study on Fast Charging Method of Series Connected Lithium-Ion Battery Strings with Intelligent Control. 2020 International Conference on Fuzzy Theory and Its Applications, IFUZZY 2020.
  20. , L., Praneeth, A. V. J. S., & Williamson, S. S. (2019). A Closed-Loop Constant-Temperature Constant-Voltage Charging Technique to Reduce Charge Time of Lithium-Ion Batteries. IEEE Transactions on Industrial Electronics, 66(2), 1059–1067.
  21. V. A. Marcis, A. V. J. S. Praneeth, L. Patnaik and S. S. Williamson, "Analysis of CT-CV Charging Technique for Lithium-ion and NCM 18650 Cells," 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020), Cochin, India, 2020, pp. 1-6, doi: 10.1109/PESGRE45664.2020.9070505.
  22. B. Bose, Vandana and A. Garg, "Development of DS-CC-CT-CV Charging Strategy for Health-Aware Battery Fast Charging Using Quad Objective Genetic Algorithm," 2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET), Bhubaneswar, India, 2023, pp. 1-6, doi: 10.1109/SeFeT57834.2023.10244811.
  23. R. Rakhmawati, Z. Rana Khalisa Permana, R. Prilian Eviningsih, and P. Elektronika Negeri Surabaya, “Fast Charging pada Baterai Li-Ion dengan Kontrol ANFIS,” Jurnal Nasional Teknik Elektro dan Teknologi Informasi, vol. 12, no. 2, pp. 93–100, May 2023.http://dx.doi.org/10.22146/jnteti.v12i2.5143
  24. N. I. Mary, I. Sudiharto, and F. D. Murdianto, “Comparison of FLC and ANFIS Methods to Keep Constant Power Based on Zeta Converter,” INTEK: Jurnal Penelitian, vol. 8, no. 1, pp. 21–29, Jul. 2021.http://dx.doi.org/10.31963/intek.v8i1.2701
  25. Sudiharto, I., Okky Anggriawan, D., Jufriyadi, M., Elektronika Negeri Surabaya, P., Anggriawan, D. O., & Jufriyadi, M. (2024). Design of SEPIC Converter for Battery Charging System using ANFIS. KINETIK, 9(2), 203–212.
Read More
Author biographies is not available.
Download this PDF file
Statistic
Read Counter : 0

Downloads

Download data is not yet available.