Virtual Reality-Based Driving Simulator for Testing Innovative Hybrid Automotive Powertrains

  • Arockia Vijay JosephEmail author
  • Sridhar P. Arjunan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1119)


In the field of automotive engineering, the testing procedure of any powertrain involves a chassis dynamometer and techniques to test the performance of the powertrain. These traditional testing procedures lack in understanding the powertrain performances for different terrains. To bridge this, OEM used to test their new powertrain by on-road testing. This conventional method for testing requires more amount of time to test, validate, and re-design, and to complete the product development cycle. This paper provides a solution to the abovementioned problem by designing a virtual reality-based driving simulator (VRDS) which can wirelessly control a drive train system of a vehicle. This study has designed and enhanced a virtual and imaginary simulated reality of various tracks where the designed car can run in the required setting of the environment. The interaction between the car and the test bed is in terms of acceleration, clutch, gear position, and brake. In this study, we have tested and analyzed the performance of the hybrid engine using this real-time wireless VRDS-generated data.


Virtual reality Hybrid Powertrain Test bed Driving simulator Unity 



We acknowledge SRM Institute of Science & Technology for supporting this research under Selective Excellence Program (SEP).


  1. 1.
    Zeng, X., Nie, L., Wang, Q.: Experimental study on the differential hybrid system hybrid electric vehicle (International workshop on automobile, power and energy engineering). Procedia Eng. 16, 708–715 (2011)Google Scholar
  2. 2.
    Mikulski, M., Wierzbicki, S.: The concept and construction of the engine test bed for experiments with a multi-fuel CI engine fed with CNG and liquid fuel as an ignition dose. J. KONES Powertrain Transp. 19(3), 289–296 (2012)CrossRefGoogle Scholar
  3. 3.
    Passenbrunner, T.E, Sassano, M., del Re, L.: Optimal control of internal combustion engine test benches equipped with hydrodynamic dynamometers. In: 7th IFAC Symposium on Advances in Automotive Control, The International Federation of Automatic Control (2013). 978-3-902823-48-9/2013Google Scholar
  4. 4.
    Geng, S., Schulte, T.: Real-time models of hybrid electric vehicle powertrains. In: 7th IFAC Symposium on Advances in Automotive Control, The International Federation of Automatic Control (2013). 978-3-902823-48-9Google Scholar
  5. 5.
    Koç, T., Karayel, D., Boru, B., Ayhan, V., Cesur, I., Parlak, A.: Design and implementation of the control system of an internal combustion engine test unit. Adv. Mech. Eng. 2014 (2014)Google Scholar
  6. 6.
    Ben-gai, S., Li-ming, C., Yan-min, X.: Design of light hybrid electric vehicle powertrain test system. In: Fifth International Conference on Intelligent Systems Design and Engineering Applications (2014). 978-1-4799-4261-9/14Google Scholar
  7. 7.
    Galiullin, L.A.: Automated test system of internal combustion engines. In: IOP Conference Series: Materials Science and Engineering, vol. 86, p. 012018 (2015)Google Scholar
  8. 8.
    Xu, Y., Guo, K., Chen, L.: In: IOP Conference Series: Earth Environment Science, vol. 64, p. 012086Google Scholar
  9. 9.
    Li, Y., Xu, X., Sun, X., Xue, H., Jiang, H., Qu, Y.: Theoretical and experimental analytical study of powertrain system by hardware-in-the-loop test bench for electric vehicles. Int. J. Vehicle Syst. Modell. Test. 12(1/2), 44–71 (2017)CrossRefGoogle Scholar
  10. 10.
    Akkaya, F., Klos, W., Schwämmle, T., Haffke, G., Reuss, H.: Holistic testing strategies for electrified vehicle powertrains in product development process. World Electr Veh. J. 9, 5 (2018). Scholar
  11. 11.
    Kouroussis, G., Dehombreux, P., Verlinden, O.: Vehicle and powertrain dynamics analysis with an automatic gearbox. Mech. Mach. Theory 83, 109–124 (2014)CrossRefGoogle Scholar
  12. 12.
    Mall, P., Fidlin, A., Krüger, A., Groß, H.: Simulation based optimization of torsional vibration dampers in automotive powertrains. Mech. Mach. Theory 115, 244–266 (2017)CrossRefGoogle Scholar
  13. 13.
    Wu, J., Liang, J., Ruan, J., Zhang, N., Walker, P.D.: Efficiency comparison of electric vehicles powertrains with dual motor and single motor input. Mech. Mach. Theory 128, 569–585 (2018)CrossRefGoogle Scholar
  14. 14.
    Joseph, A.V., Kumar, G.J.R.: Switching control in hybrid vehicle system based two wheeler. Int. J. Autom. Smart Technol. 7(1), 15–19 (2017)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electronics and Instrumentation EngineeringSRM Institute of Science and TechnologyKattankulathurIndia

Personalised recommendations