Analytical Solutions for Determination of Electrical Vehicle Starting Time and Corresponding Distance

  • Martin ĆalasanEmail author
  • Saša Mujović
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 83)


The usage of the electrical vehicles (EVs) has a promising future. Therefore, different analyses related to the EVs characteristics are very popular. This paper proposes the novel-analytical approach in determination of the EV starting time and corresponding distance. The analytical solutions were obtained on the base of conducted mathematical analysis taking into account the inertial parameters of EVs, such as rolling resistance and the aerodynamic drag. It was concluded that the parameters have strong impact on the electrical vehicle starting time and corresponding distance, especially at higher values of vehicle speed. The proposed analytical approach is simpler and more convenient for using than the commonly used approach based on complex numerical methods.


  1. 1.
    Ehsani, M., Gao, Y., Longo, S., Ebrahimi, K.M.: Modern Electric, Hybrid Electric, and Fuel Cell Vehicles, 3rd edn. CRC Press, Taylor & Francis Group (2018)Google Scholar
  2. 2.
    Chan, C.C., Chau, K.T.: Modern Electric Vehicle Technology. Oxford University Press, New York (2001)Google Scholar
  3. 3.
    Fan, J., et al.: Thermal analysis of permanent magnet motor for the electric vehicle application considering driving duty cycle. IEEE Trans. Magn. 46(6), 2493–2496 (2010)CrossRefGoogle Scholar
  4. 4.
    Emadi, A., Lee, Y.J., Rajashekara, K.: Power electronics and motor drives in electric, hybrid electric, and plug-in hybrid electric vehicles. IEEE Trans. Industr. Electron. 55(6), 2237–2245 (2008)CrossRefGoogle Scholar
  5. 5.
    Rahman, K.M., Ehsani, M.: Performance analysis of electric motor drives for electric and hybrid electric vehicle application. In: IEEE Power Electronic in Transportation, pp. 49–56 (1996)Google Scholar
  6. 6.
    Rahman, Z., Ehsani, M., Butler, K.: Effect of extended-speed, constant-power operation of electric drives on the design and performance of EV-HEV propulsion system. In: Society of Automotive Engineers (SAE) Journal, Warrendale, PA, 2003, Paper No. 2000-01-1557Google Scholar
  7. 7.
    Liu, C., Chau, K.T., Wu, D., Gao, S.: Opportunities and challenges of vehicle-to-home, vehicle-to-vehicle, and vehicle-to-grid technologies. Proc. IEEE 101(11), 2409–2427 (2013)CrossRefGoogle Scholar
  8. 8.
    Yu, H., Cheli, F., Castelli-Dezza, F.: Optimal design and control of 4-IWD electric vehicles based on a 14-DOF vehicle model. IEEE Trans. Veh. Technol. 67(11), 10457–10469 (2018)CrossRefGoogle Scholar
  9. 9.
    Etezadi-Amoli, M., Choma, K., Stefani, J.: Rapid-charge electric-vehicle stations. IEEE Trans. Power Deliv. 25(3), 1883–1887 (2010)CrossRefGoogle Scholar
  10. 10.
    Tanaka, D., Ashida, T., Minami, S.: An analytical method of EV velocity profile determination from the power consumption of electric vehicles. In: 2008 IEEE Vehicle Power and Propulsion Conference, pp. 1–3, Harbin (2008)Google Scholar
  11. 11.
    Zulkifli, S.A., Mohd, S., Saad, N., Aziz, A.R.A.: Influence of motor size and efficiency on acceleration, fuel economy and emissions of split-parallel hybrid electric vehicle. In: 2013 IEEE Symposium on Industrial Electronics & Applications, pp. 126–131, Kuching (2013)Google Scholar
  12. 12.
    Krishnan, R.: Electric Motor Drives – Modeling, Analysis and Control. Prentice Hall, Upper Saddle River, NJ (2001)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of Electrical EngineeringUniversity of MontenegroPodgoricaMontenegro

Personalised recommendations