Parameter Estimation Method For Fractional Order PNGV Battery Model

Emre Balkış; Ekrem Düven

doi:10.5152/tepes.2024.24016

Parameter Estimation Method For Fractional Order PNGV Battery Model

Abstract

Among the different types of batteries, Li-ion batteries are the most preferred type due to the performance and safety features they provide. Battery management systems are needed to get convenient performance from this kind of battery and to extend the life of batteries as much as possible. For this reason, an accurate battery model is required for a good battery management system. In this study, The Partnership for New Generation of Vehicles (PNGV) equivalent circuit battery model, which represents open circuit voltage changes, is taken as a basis and fractional order batteries models are created based on the PNGV equivalent circuit battery model. One of the most important subjects after creating the battery model is the determination of model parameters. At this stage, to make the problem simpler, the measured battery dataset is divided into sub-layers with a layered approach and the parameters are determined with analysis and data extractions on each sub-layer reflecting the different state of charge levels. This approach helped to obtain the accurate battery model with a steady state error of less than 5 mV and a transient error of less than 30 mV during each current pulse.

Keywords

References

1. R. Menak, T. Karadağ, M. Altuğ, and N. Tan, “Elektrikli Araçlarda batarya yönetim sistemleri üzerine bir derleme çalışması,” Gazi Univ. J. Sci., 2021.
2. European Environment Agency, Decarbonising Road Transp. - The Role Veh. Fuels Transp. Demand, vol. 02, 2022.
3. X. Sun, Z. Li, X. Wang, and C. Li, “Technology development of electric vehicles: A review,” Energies, vol. 13, no. 1, 2019.
4. T. Muhith, S. Behara, and M. A. Reddy, “An investigation into the viability of battery technologies for electric buses in the UK,” Batteries, vol. 10, no. 3, 2024.
5. I. Dincer, “Renewable energy and sustainable development: A crucial review,” Renew. Sustain. Energy Rev., vol. 4, no. 2, 157–175, 2000.
6. B. P. Divakar et al., “Battery management system and control strategy for hybrid and electric vehicle,” in 3rd International Conference on Power Electronics Systems and Applications, PESA 2009, vol. 2009, 2009.
7. Q. Zhang, Y. Li, Y. Shang, B. Duan, N. Cui, and C. Zhang, “A fractional- order kinetic battery model of lithium-ion batteries considering a non- linear capacity,” Electronics, vol. 8, no. 4, 2019.
8. J. Meng, G. Luo, M. Ricco, M. Swierczynski, D. I. Stroe, and R. Teodor- escu, “Overview of lithium-Ion battery modeling methods for state-of- charge estimation in electrical vehicles,” Applied Sciences, vol. 8, no. 5, 2018.

9. Y. Ma, X. Zhou, B. Li, and H. Chen, “Fractional modeling and SOC estimation of lithium-ion battery,” IEEE CAA J. Autom. Sin., vol. 3, no. 3, 281–287, 2016.
10. H. Wu, S. Yuan, and C. Yin, “A lithium-ion battery fractional order state space model and its time domain system identification,” in Lect. Notes Electr. Eng., 795–805, 2013.
11. M. Ceylan, T. Sarikurt, and A. Balikçi, “A novel Lithium-Ion-Polymer battery model for hybrid/electric vehicles,” in IEEE International Sympo- sium on Industrial Electronics, 2014.
12. R. Jackey, M. Saginaw, P. Sanghvi, J. Gazzarri, T. Huria, and M. Ceraolo, “Battery model parameter estimation using a layered technique: An example using a lithium iron phosphate cell,” in SAE Tech. Pap., 2013.
13. R. A. Jackey, “A simple, effective lead-acid battery modeling process for electrical system component selection,” in SAE Tech. Pap., 2007.
14. R. A. Jackey, G. L. Plett, and M. J. Klein, “Parameterization of a battery simulation model using numerical optimization methods,” in SAE Tech. Pap., 2009.
15. T. Huria, M. Ceraolo, J. Gazzarri, and R. Jackey, “High fidelity electrical model with thermal dependence for characterization and simulation of high power lithium battery cells,” in IEEE International Electric Vehicle Conference, IEVC 2012, vol. 2012, 2012.
16. Y. Q. Chen, I. Petráš, and D. Xue, “Fractional order control - A tutorial,” in Proceedings of the American Control Conference, 2009, 1397–1411.
17. G. Saldaña, J. I. S. Martín, I. Zamora, F. J. Asensio, and O. Oñederra, “Analysis of the current electric battery models for electric vehicle simu- lation,” Energies, vol. 12, no. 14, 2019.
18. R. Xiao, J. Shen, X. Li, W. Yan, E. Pan, and Z. Chen, “Comparisons of modeling and state of charge estimation for lithium-ion battery based on fractional order and integral order methods,” Energies, vol. 9, no. 3, 2016.
19. The MathWorks Inc., “MATLAB version: 9.13.0 (R2022b),” The Math- works Inc. [Accessed: Apr. 28, 2024]. [Online]. Available: https://www. mathworks.com/help/autoblks/ug/generate-parameter-data-for-esti- mations-circuit-battery-block.html

Details

Primary Language

English

Subjects

Electrical Energy Storage

Journal Section

Research Article

Authors

Emre Balkış
0000-0003-1756-6898
Türkiye

Ekrem Düven ^*
0000-0003-4957-6126
Türkiye

Publication Date

October 31, 2024

Submission Date

June 26, 2024

Acceptance Date

August 10, 2024

Published in Issue

Year 2024 Volume: 4 Number: 3

DOI

https://doi.org/10.5152/tepes.2024.24016

IZ

https://izlik.org/JA22GL83HW

Cite

RIS / Bibtex

APA

Balkış, E., & Düven, E. (2024). Parameter Estimation Method For Fractional Order PNGV Battery Model. Turkish Journal of Electrical Power and Energy Systems, 4(3), 142-150. https://doi.org/10.5152/tepes.2024.24016

AMA

1.Balkış E, Düven E. Parameter Estimation Method For Fractional Order PNGV Battery Model. TEPES. 2024;4(3):142-150. doi:10.5152/tepes.2024.24016

Chicago

Balkış, Emre, and Ekrem Düven. 2024. “Parameter Estimation Method For Fractional Order PNGV Battery Model”. Turkish Journal of Electrical Power and Energy Systems 4 (3): 142-50. https://doi.org/10.5152/tepes.2024.24016.

EndNote

Balkış E, Düven E (October 1, 2024) Parameter Estimation Method For Fractional Order PNGV Battery Model. Turkish Journal of Electrical Power and Energy Systems 4 3 142–150.

IEEE

[1]E. Balkış and E. Düven, “Parameter Estimation Method For Fractional Order PNGV Battery Model”, TEPES, vol. 4, no. 3, pp. 142–150, Oct. 2024, doi: 10.5152/tepes.2024.24016.

ISNAD

Balkış, Emre - Düven, Ekrem. “Parameter Estimation Method For Fractional Order PNGV Battery Model”. Turkish Journal of Electrical Power and Energy Systems 4/3 (October 1, 2024): 142-150. https://doi.org/10.5152/tepes.2024.24016.

JAMA

1.Balkış E, Düven E. Parameter Estimation Method For Fractional Order PNGV Battery Model. TEPES. 2024;4:142–150.

MLA

Balkış, Emre, and Ekrem Düven. “Parameter Estimation Method For Fractional Order PNGV Battery Model”. Turkish Journal of Electrical Power and Energy Systems, vol. 4, no. 3, Oct. 2024, pp. 142-50, doi:10.5152/tepes.2024.24016.

Vancouver

1.Emre Balkış, Ekrem Düven. Parameter Estimation Method For Fractional Order PNGV Battery Model. TEPES. 2024 Oct. 1;4(3):142-50. doi:10.5152/tepes.2024.24016