##plugins.themes.academic_pro.article.main##
Abstract
The development of cutting-edge motor technologies for electric vehicles (EVs) has been fueled by the global movement towards sustainable mobility. Because of its great efficiency, power density, and flexibility to operate at various speeds, Permanent-Magnet Synchronous Motors (PMSMs) have become the go-to option for small-class EVs. However, the accuracy and applicability of standard mathematical modeling techniques are limited because they frequently miss real-world nonlinearities and parameter fluctuations. In this paper, a data-driven methodology for PMSM modeling that is tailored for small-class EV applications is presented. The suggested method improves the precision, flexibility, and computational efficiency of PMSM models by utilizing real-world operational data. The efficiency map and peak torque characteristics of the WULING MACARON EV's electric drive were defined using regression analysis, which produced low residual errors and high R-squared values of 0.9647 and 0.9789, respectively. The outcomes show that the model can optimize energy use, forecast performance under various circumstances, and assist real-time control applications.
Keywords
##plugins.themes.academic_pro.article.details##
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
- M. Islameka, B. A. Budiman, F. B. Juangsa, and M. Aziz, “Energy management systems for battery
- electric vehicles,” in Emerging Trends in Energy Storage Systems and Industrial Applications, Elsevier, 2023,
- pp. 113–150. doi: 10.1016/B978-0-323-90521-3.00006-5.
- Z. Hongyan and Z. Tianjun, “Improving Vehicle Stability Using Electro-hydraulic Braking System,”
- in 2009 International Conference on Information Technology and Computer Science, IEEE, Jul. 2009, pp.
- –596. doi: 10.1109/ITCS.2009.129.
- M.Ehsani, Modern Electric, Hybrid Electric, and Fuel Cell Vehicles, Third Edition. CRC Press, 2018.
- doi: 10.1201/9780429504884.
- J. G. Hayes and G. A. Goodarzi, Electric Powertrain. Wiley, 2017. doi: 10.1002/9781119063681.
- S. Heydari, P. Fajri, I. Husain, and J.-W. Shin, “Regenerative Braking Performance of Different
- Electric Vehicle Configurations Considering Dynamic Low Speed Cutoff Point,” in 2018 IEEE Energy
- Conversion Congress and Exposition (ECCE), IEEE, Sep. 2018, pp. 4805–4809. doi:
- 1109/ECCE.2018.8558324.
- E. Pipitone and G. Vitale, “A regenerative braking system for internal combustion engine vehicles
- using supercapacitors as energy storage elements - Part 2: Simulation results,” J Power Sources, vol. 448, p.
- , Feb. 2020, doi: 10.1016/j.jpowsour.2019.227258.
- Ali Emadi, Advanced Electric Drive Vehicles. CRC Press, 2014.
- G. A. Goodarzi and J. G. Hayes, “Electric Powertrain: Energy Systems, Power Electronics and Drives
- for Hybrid, Electric and Fuel Cell Vehicles,” 2018.
- F. U. S. A. Jamshid Inoyatkhodjaev, “METHOD FOR SIZING AN ELECTRIC DRIVE FOR SMALL
- CLASS ELECTRIC VEHICLES,” UNIVERSUM:ТЕХНИЧЕСКИЕ НАУКИ, vol. 109, no. 4, Apr. 2023, doi:
- 32743/UniTech.2023.109.4.15230.
- S. ASANOV and F. UMEROV, “DYNAMIC MULTICRITERIA ANALYSIS DEVELOPMENT OF
- THE ELECTRIC VEHICLE MARKET AND THEIR INFRASTRUCTURE IN UZBEKISTAN,” Acta of
- Turin Polytechnic University in Tashkent, vol. 13, no. 3, pp. 51–55, Nov. 2023, [Online]. Available:
- https://acta.polito.uz/index.php/journal/article/view/231
- F. Umerov, “The PROSPECTS FOR THE DEVELOPMENT OF ELECTRIC VEHICLES IN
- UZBEKISTAN,” Acta of Turin Polytechnic University in Tashkent, vol. 12, no. 2, Nov. 2022, [Online].
- Available: https://acta.polito.uz/index.php/journal/article/view/172
- S. ASANOV, “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, vol. 14, no. 2, pp. 52–56,
- Dec. 2024, [Online]. Available: https://acta.polito.uz/index.php/journal/article/view/298
- F. Umerov, “The JUSTIFICATION OF PERFORMANCE INDICATORS OF SMALL-CLASS
- ELECTRIC VEHICLES AND THEIR TRACTION BATTERIES,” Acta of Turin Polytechnic University in
- Tashkent, vol. 12, no. 3, Apr. 2023, [Online]. Available:
- https://acta.polito.uz/index.php/journal/article/view/197
- Iqbal Husain, Electric and Hybrid Vehicles. CRC Press, 2021.
- J. Chen, C. Xu, C. Wu, and W. Xu, “Adaptive Fuzzy Logic Control of Fuel-Cell-Battery Hybrid
- Systems for Electric Vehicles,” IEEE Trans Industr Inform, vol. 14, no. 1, pp. 292–300, Jan. 2018, doi:
- 1109/TII.2016.2618886.
- K. Mathew K, D. M. Abraham, and A. Harish, “Speed regulation of PMSM drive in electric vehicle
- applications with sliding mode controller based on harris Hawks optimization,” e-Prime - Advances in
- Electrical Engineering, Electronics and Energy, vol. 9, p. 100643, Sep. 2024, doi:
- 1016/j.prime.2024.100643.
- Asanov Seyran Enverovich, “CLASSIFICATION OF PARALLEL HYBRID ELECTRIC VEHICLES
- BASED ON THE POSITION OF THE ELECTRIC POWERTRAIN,” Research and Education, Apr. 2022,
- pp. 95–99. Accessed: Jan. 16, 2025. [Online]. Available: https://researchedu.org/index.php/re/article/view/688
- F. Umerov, “ANALYSIS OF THE RECOVERY SYSTEM BRAKING ELECTRIC VEHICLES,” Acta
- of Turin Polytechnic University in Tashkent, vol. 13, no. 3, pp. 43–46, Nov. 2023, [Online]. Available:
- https://acta.polito.uz/index.php/journal/article/view/235