A data-driven approach to define a mathematical model of the traction battery used in small class electric vehicles.

Authors

  • SEYRAN ASANOV Turin Polytechnic University in Tashkent

Keywords:

mathematical model, traction battery, SOC, electric vehicle

Abstract

This paper presents a data-driven approach to develop a mathematical model of a traction battery used in small class electric vehicles. The methodology includes the analysis of experimental data, approximation of the electromotive force (EMF) and internal resistance dependencies on the state of charge (SOC) using regression analysis, and scaling of the model for a full battery considering series and parallel cell connections. The proposed model provides high prediction accuracy, which is confirmed by experimental test results. The obtained model can be applied to optimize the battery management of electric vehicles, to improve their energy efficiency and performance.

References

K. Jyotheeswara Reddy и S. Natarajan, «Energy sources and multi-input DC-DC converters used in hybrid electric vehicle applications – A review», Int J Hydrogen Energy, 43, edition 36, pp. 17387–17408, sep. 2018, doi: 10.1016/j.ijhydene.2018.07.076.

L. Castellazzi, S. Ruzimov, A. Bonfitto, A. Tonoli, и N. Amati, «A Method for Battery Sizing in Parallel P 4 Mild Hybrid Electric Vehicles», SAE International Journal of Electrified Vehicles, 11, edition 1, pp. 14-11-01–0008, sep. 2021, doi: 10.4271/14-11-01-0008.

M. Islameka, B. A. Budiman, F. B. Juangsa, и M. Aziz, «Energy management systems for battery electric vehicles», Emerging Trends in Energy Storage Systems and Industrial Applications, Elsevier, 2023, pp. 113–150. doi: 10.1016/B978-0-323-90521-3.00006-5.

«48V Lithium-ion Battery - 8Ah», http://www.a123systems.com/wp-content/uploads/48V-Battery-Flier_2016.pdf [16.06.2021].»

M.Ehsani, Modern Electric, Hybrid Electric, and Fuel Cell Vehicles, Third Edition. CRC Press, 2018. doi: 10.1201/9780429504884.

F. Umerov, «The prospects for the development of electric vehicles in Uzbekistan», Acta of Turin Polytechnic University in Tashkent, 12, edition 2, nov. 2022, https://acta.polito.uz/index.php/journal/article/view/172

F. Umerov, «Analysis of the recovery system braking electric vehicles», Acta of Turin Polytechnic University in Tashkent, 13, edition 3, pp. 43–46, nov. 2023, https://acta.polito.uz/index.php/journal/article/view/235

Ruzimov S.K., “Scientific basis of selection of parameters and control modes of hibrid drive car drives”, Tashkent, 2022.

S. Asanov & F. Umerov, «Dynamic multicriteria analysis development of the electric vehicle market and their infrastructure in Uzbekistan», Acta of Turin Polytechnic University in Tashkent, 13, edition 3, pp. 51–55, nov. 2023, https://acta.polito.uz/index.php/journal/article/view/231

Y. Gong & etc., «Estimation of Peukert Constant of Lithium-ion Batteries and its Application in Battery Discharging Time Prediction», 2020 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, oct. 2020, pp. 905–910. doi: 10.1109/ECCE44975.2020.9236241.

«https://avt.inl.gov/content/pubs-vehicles#B [16.06.2021]».

Published

2024-12-30

How to Cite

ASANOV, S. (2024). A data-driven approach to define a mathematical model of the traction battery used in small class electric vehicles. Acta of Turin Polytechnic University in Tashkent, 14(2), 52–56. Retrieved from https://acta.polito.uz/index.php/journal/article/view/298

Issue

Section

Technical Science and Engineering