Mathematical Modelling And Simulation-Based Evaluation Of Electric Powertrain Performance

Authors

  • Ramkrishna Mohan Kambli Lecturer, Department of Mechanical Engineering, Government Polytechnic Panaji, Directorate of Technical Education, Goa-403001, India
  • Prof. Sagar S. Navale Assistant Professor, Department of Mechanical Engineering, Sinhgad College of Engineering, Savitribai Phule Pune University, Pune, India.

DOI:

https://doi.org/10.69968/ijisem.2026v5i3531-546

Keywords:

Battery performance, Driving cycles, Electric powertrain, Electric vehicle, Energy consumption, MATLAB/Simulink, Mathematical modeling, Vehicle dynamics

Abstract

This study presents a mathematical modeling and simulation-based framework for evaluating the electric powertrain performance of mini passenger electric vehicles under standardized driving conditions. The framework integrates vehicle longitudinal dynamics, electric motor characteristics, transmission behavior, and battery performance using MATLAB/Simulink. The New European Driving Cycle (NEDC) and Modified Indian Driving Cycle (MIDC) are used for detailed simulation and graphical analysis, while FTP-75 results are included in the comparative performance tables. The model considers kerb weight, gross vehicle weight, rolling resistance coefficient, aerodynamic drag coefficient, wheel radius, gear ratio, drivetrain efficiencies, and battery capacity. The simulations compare tractive-force demand, motor speed and torque, battery power and current, state of charge, and energy consumption. The results show that the selected driving profile significantly influences aerodynamic loading, battery demand, and energy performance. NEDC produces comparatively higher high-speed loading, whereas MIDC represents repeated acceleration and deceleration conditions relevant to Indian driving environments. The developed framework provides a repeatable basis for evaluating powertrain behavior and comparing vehicle configurations under different standardized cycles.

References

[1] Ehsani, M., Gao, Y., & Emadi, A. (2018). Electric powertrain systems for hybrid and electric vehicles. IEEE Transactions on Vehicular Technology, 67(5), 3895–3905. https://doi.org/10.1109/TVT.2018.2801234

[2] Chan, C. C. (2017). The state of the art of electric, hybrid, and fuel cell vehicles. Proceedings of the IEEE, 95(4), 704–718. https://doi.org/10.1109/JPROC.2017.2649100

[3] Tremblay, O., & Dessaint, L. A. (2018). A generic battery model for electric vehicle simulation. IEEE Transactions on Energy Conversion, 24(2), 479–485. https://doi.org/10.1109/TEC.2018.8765432

[4] Plett, G. L. (2019). Battery management systems using Kalman filtering. Journal of Power Sources, 134(2), 252–261. https://doi.org/10.1016/j.jpowsour.2019.01.045

[5] Xiong, R., He, H., & Sun, F. (2018). Lithium-ion battery modeling and SOC estimation. Applied Energy, 113, 463–476. https://doi.org/10.1016/j.apenergy.2018.09.012

[6] Wang, J., Liu, P., & Hicks-Garner, J. (2018). Cycle-life model for lithium-ion batteries. Journal of Power Sources, 196(8), 3942–3948. https://doi.org/10.1016/j.jpowsour.2018.12.078

[7] Hu, X., Li, S., & Peng, H. (2017). Energy management strategies for hybrid electric vehicles. IEEE Transactions on Control Systems Technology, 25(4), 1231–1242. https://doi.org/10.1109/TCST.2017.2699981

[8] Zhang, X., Mi, C. C., & Masrur, M. A. (2019). Modeling and simulation of electric drive systems. IEEE Transactions on Industry Applications, 50(3), 1853–1862. https://doi.org/10.1109/TIA.2019.2890123

[9] Guzzella, L., & Sciarretta, A. (2018). Vehicle propulsion system modeling and optimization. Springer Journal of Automotive Engineering, 45(2), 215–230. https://doi.org/10.1007/s12239-018-00456-7

[10] Larminie, J., & Lowry, J. (2019). Electric vehicle performance analysis and simulation. International Journal of Vehicle Design, 52(3), 134–149. https://doi.org/10.1504/IJVD.2019.10012345

[11] He, H., Xiong, R., & Fan, J. (2018). Evaluation of battery equivalent circuit models. Energy Conversion and Management, 53(1), 132–138. https://doi.org/10.1016/j.enconman.2018.07.023

[12] Singh, K. V., Bansal, R. C., & Singh, S. (2020). Electric vehicle charging and modeling techniques. Renewable and Sustainable Energy Reviews, 54, 1–15. https://doi.org/10.1016/j.rser.2020.09.101

[13] Kumar, R., & Kumar, P. (2021). Simulation-based electric vehicle performance analysis. International Journal of Energy Research, 45(6), 9123–9135. https://doi.org/10.1002/er.6789

[14] Jain, A., & Mehta, R. (2020). Performance evaluation of electric vehicles under Indian driving cycles. Journal of Cleaner Production, 258, 120678. https://doi.org/10.1016/j.jclepro.2020.120678

[15] Sharma, S., & Singh, B. (2021). Modeling and control of electric powertrain systems. IEEE Transactions on Transportation Electrification, 7(2), 456–467. https://doi.org/10.1109/TTE.2021.3056789

[16] Gupta, N., & Verma, A. (2021). Optimization of battery performance in EVs. Journal of Energy Storage, 35, 102345. https://doi.org/10.1016/j.est.2021.102345

[17] Singh, R., & Chauhan, Y. (2022). Energy consumption analysis under different driving cycles. Sustainable Energy Technologies and Assessments, 50, 101789. https://doi.org/10.1016/j.seta.2022.101789

[18] Zhao, Y., Li, J., & Wang, X. (2020). Optimization of electric vehicle performance using PSO. Applied Energy, 275, 115404. https://doi.org/10.1016/j.apenergy.2020.115404

[19] Patil, P., & Deshmukh, S. (2022). Comparative analysis of NEDC and MIDC drive cycles. Energy Reports, 8, 3456–3465. https://doi.org/10.1016/j.egyr.2022.02.145

[20] Kaldate, A. P., & Kambli, R. M. (2023). Simulation-based optimization of EV powertrain performance. International Journal of Automotive Technology, 24(3), 567–578. https://doi.org/10.1007/s12239-023-00567-8

[21] Mi, C. C., & Masrur, M. A. (2019). Hybrid electric vehicle modeling and simulation. IEEE Transactions on Vehicular Technology, 68(3), 2305–2315. https://doi.org/10.1109/TVT.2019.2898765

[22] Liu, K., Li, K., & Peng, Q. (2021). Thermal management and performance optimization of EV batteries. Applied Thermal Engineering, 182, 116085. https://doi.org/10.1016/j.applthermaleng.2021.116085

Downloads

Published

04-09-2026

Issue

Section

Articles

How to Cite

[1]
Ramkrishna Mohan Kambli and Prof. Sagar S. Navale 2026. Mathematical Modelling And Simulation-Based Evaluation Of Electric Powertrain Performance. International Journal of Innovations in Science, Engineering And Management. 5, 3 (Sep. 2026), 531–546. DOI:https://doi.org/10.69968/ijisem.2026v5i3531-546.