Optimizing Charge and Discharge of Lithium-Ion Batteries by Deploying PID Controller with Coupled Electro-Thermal-Aging Dynamic
DOI:
https://doi.org/10.62146/ijecbe.v2i3.76Keywords:
Lithium ion batteries, Electric Circuit Model, Electro-Thermal-Aging Dynamic, PIDAbstract
Lithium-ion batteries (LIBs) are extensively utilized in many applications, from power plant utilities to portable electronic devices. Nevertheless, the performance and longevity of the LIB are affected by the interconnected electro-thermal-aging (ETA) dynamics that occur during the repeated process of charging and discharging. This study presents a technique for managing the charging and discharging of LIBs by controlling the operational voltage, addressing this issue. The technique involves employing a proportional-integral-derivative (PID) controller, which involves interconnected ETA dynamics. The result of the suggested technique is confirmed by comparing experimental data obtained from a cylindrical 26650 lithium-iron phosphate (LFP). The PID controller optimizes the response time of charging and discharging through the voltage while affecting the lifetime of the cell. The results indicated that the implementation of the PID controller allows for a rapid and secure charging and discharging process for LIB, leading to improved cell health and a longer cell life expectancy by controlling a certain degree of parameter known as overshoot. This strategy has the potential to be implemented in the charging and discharging process that positively affects the LIBs performance.
References
M. H. Hossain, M. A. Chowdhury, N. Hossain, M. A. Islam, and M. H. Mobarak, "Advances of lithium-ion batteries anode materials—A review," Chemical Engineering Journal Advances, vol. 16, p. 100569, 2023/11/15/ 2023.
M. Şen, M. Özcan, and Y. R. Eker, "A review on the lithium-ion battery problems used in electric vehicles," Next Sustainability, vol. 3, p. 100036, 2024/01/01/ 2024.
M. Amir et al., "Energy storage technologies: An integrated survey of developments, global economical/environmental effects, optimal scheduling model, and sustainable adaption policies," Journal of Energy Storage, vol. 72, p. 108694, 2023/11/30/ 2023.
J. Mitali, S. Dhinakaran, and A. A. Mohamad, "Energy storage systems: a review," Energy Storage and Saving, vol. 1, no. 3, pp. 166-216, 2022/09/01/ 2022.
Y. Yang, R. Wang, Z. Shen, Q. Yu, R. Xiong, and W. Shen, "Towards a safer lithium-ion batteries: A critical review on cause, characteristics, warning and disposal strategy for thermal runaway," Advances in Applied Energy, vol. 11, p. 100146, 2023/09/01/ 2023.
S. Rada, M. Unguresan, M. Rada, C. Tudoran, J. Wang, and E. Culea, "Performance of the Recycled and Copper-Doped Materials from Spent Electrodes by XPS and Voltammetric Characteristics," Journal of The Electrochemical Society, vol. 167, no. 9, p. 090548, 2020/06/08 2020.
J. Tian, R. Xiong, and W. Shen, "State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries," IEEE Transactions on Power Electronics, vol. PP, pp. 1-1, 03/05 2020.
V. Sangwan, A. Sharma, R. Kumar, and A. Rathore, Equivalent circuit model parameters estimation of Li-ion battery: C-rate, SOC and Temperature effects. 2016.
Q. Yu, R. Xiong, C. Lin, W. Shen, and J. Deng, "Lithium-Ion Battery Parameters and State-of-Charge Joint Estimation Based on H-Infinity and Unscented Kalman Filters," IEEE Transactions on Vehicular Technology, vol. PP, pp. 1-1, 05/29 2017.
M. N. Amiri, A. Håkansson, O. S. Burheim, and J. J. Lamb, "Lithium-ion battery digitalization: Combining physics-based models and machine learning," Renewable and Sustainable Energy Reviews, vol. 200, p. 114577, 2024/08/01/ 2024.
K. Liu et al., "Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries," Control Engineering Practice, vol. 124, 04/03 2022.
N. A. Chaturvedi, R. Klein, J. Christensen, J. Ahmed, and A. Kojic, "Algorithms for Advanced Battery-Management Systems," IEEE Control Systems Magazine, vol. 30, no. 3, pp. 49-68, 2010.
A. Jokar, B. Rajabloo, M. Désilets, and M. Lacroix, "Review of simplified Pseudo-two-Dimensional models of lithium-ion batteries," Journal of Power Sources, vol. 327, pp. 44-55, 2016/09/30/ 2016.
R. Zhang et al., "Study on the Characteristics of a High Capacity Nickel Manganese Cobalt Oxide (NMC) Lithium-Ion Battery—An Experimental Investigation," Energies, vol. 11, no. 9. doi: 10.3390/en11092275
S. Leonori, L. Baldini, A. Rizzi, and F. M. Frattale Mascioli, "A Physically Inspired Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical Cells," Energies, vol. 14, no. 21. doi: 10.3390/en14217386
M.-K. Tran, A. DaCosta, A. Mevawalla, S. Panchal, and M. Fowler, "Comparative Study of Equivalent Circuit Models Performance in Four Common Lithium-Ion Batteries: LFP, NMC, LMO, NCA," Batteries, vol. 7, no. 3. doi: 10.3390/batteries7030051
X. Hu, S. Li, and H. Peng, "A comparative study of equivalent circuit models for Li-ion batteries," Journal of Power Sources, vol. 198, pp. 359-367, 2012/01/15/ 2012.
H. E. Perez, X. Hu, S. Dey, and S. J. Moura, "Optimal Charging of Li-Ion Batteries With Coupled Electro-Thermal-Aging Dynamics," IEEE Transactions on Vehicular Technology, vol. 66, no. 9, pp. 7761-7770, 2017.
S. Ma et al. “Temperature effect and thermal impact in lithium-ion batteries: A review”. In: Progress in Natural Science: Materials International 28.6 (Dec. 1, 2018), pp. 653–666
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 International Journal of Electrical, Computer, and Biomedical Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.