Performance Evaluation of Turbochargers Using Real-Time Simulation

  • Authors

    • Dr. Harish Patel 1Professor, Country, Gujarat University, India. Author
    • Dr. Geetha Ramasamy Associate Professor, Madurai Kamaraj University, India Author

    DOI:

    https://doi.org/10.67228/30716357/IJMRSE-2020PII3J7P

    Published 09-01-2020

  • Turbocharger Modeling, Real-Time Simulation, Compressor Map, Turbine Efficiency, Engine Dynamics, Boost Control, Hardware-In-The-Loop, Transient Response

    Issue

    Vol. 3 No. 2 (2020)

    Section

    Articles

    How to Cite

    Performance Evaluation of Turbochargers Using Real-Time Simulation. (2020). International Journal of Modern Research in Science & Engineering, 3(2), 01-17. https://doi.org/10.67228/30716357/IJMRSE-2020PII3J7P

  • Abstract

    Turbochargers are essential components in modern internal combustion engines as they improve volumetric efficiency, increase power density, and reduce fuel consumption and emissions. With increasing regulatory demands for cleaner and more efficient engines, accurate and rapid evaluation of turbocharger performance has become crucial. Traditional experimental testing methods are costly and time-consuming, while simulation provides an efficient alternative for dynamic modeling and performance prediction. This study presents a real-time simulation framework for turbocharger performance analysis by integrating thermodynamic modeling, compressor-turbine matching, transient flow dynamics, and control system interactions. The physics-based turbocharger model incorporates non-linear compressor maps, turbine efficiency curves, shaft dynamics, heat transfer, and friction losses. Implemented on a real-time platform, the model captures rapid load variations and boost pressure dynamics with millisecond-level computation. The simulation is validated under benchmark engine operating conditions and focuses on transient response, turbo lag, boost pressure control, and energy recovery efficiency. Parametric studies on turbine geometry, compressor trims, and bearing characteristics enable performance optimization without extensive physical prototyping. Results demonstrate that real-time simulation effectively captures nonlinear behavior and dynamic coupling, enabling predictive turbocharger analysis, faster design cycles, reduced development cost, and improved reliability testing for advanced engine development.

  • References

    [1] Watson, N., & Janota, M. S., Turbocharging the Internal Combustion Engine. London: Macmillan, 1982.

    [2] Heywood, J. B., Internal Combustion Engine Fundamentals. New York: McGraw-Hill, 1988.

    [3] Baines, N. C., Fundamentals of Turbocharging. Concepts ETI, 2005.

    [4] Galindo, J., Serrano, J. R., Dolz, V., & Tiseira, A., “Compressor efficiency extrapolation for automotive turbochargers,” Applied Thermal Engineering, vol. 26, no. 14–15, pp. 1494–1503, 2006.

    [5] Eriksson, L., Nielsen, L., Brugård, J., Bergström, J., Pettersson, F., & Andersson, P., “Modeling of a turbocharged SI engine,” Annual Reviews in Control, vol. 26, pp. 129–137, 2002.

    [6] Serrano, J. R., Olmeda, P., Arnau, F. J., & Dombrovsky, A., “Turbocharger heat transfer and mechanical losses modeling,” Energy, vol. 36, no. 8, pp. 5071–5082, 2011.

    [7] Payri, F., Serrano, J. R., Arnau, F. J., & Piqueras, P., “Experimental investigation of turbocharger heat transfer effects,” Applied Thermal Engineering, vol. 31, pp. 1213–1221, 2011.

    [8] Winkler, N., Ångström, H.-E., & Eriksson, L., “Control-oriented modeling of a turbocharged diesel engine,” SAE Technical Paper 2000-01-0287, 2000.

    [9] Müller, M., & Isermann, R., “Model-based control of turbocharged diesel engines,” Control Engineering Practice, vol. 8, no. 11, pp. 1353–1362, 2000.

    [10] Galindo, J., Tiseira, A., Navarro, R., & Lerín, C., “Compressor map extrapolation methodology for turbocharger performance prediction,” Energy Conversion and Management, vol. 52, pp. 1340–1350, 2011.

    [11] Eriksson, L., “Modeling and control of turbocharged SI and DI engines,” Oil & Gas Science and Technology, vol. 62, no. 4, pp. 523–538, 2007.

    [12] Schernus, C., & Pischinger, S., “Real-time capable turbocharger modeling for hardware-in-the-loop applications,” SAE Technical Paper 2013-01-0576, 2013.

    [13] Romagnoli, A., & Martinez-Botas, R. F., “Heat transfer analysis in turbochargers,” Applied Thermal Engineering, vol. 31, pp. 3642–3650, 2011.

    [14] Wahlström, J., & Eriksson, L., “Modeling diesel engines with turbocharger and EGR for control design,” IEEE Transactions on Control Systems Technology, vol. 19, no. 4, pp. 993–1002, 2011.

    [15] Baines, N. C., & Yeo, J. H., “Flow physics and performance modeling of turbocharger turbines,” Proceedings of the Institution of Mechanical Engineers, Part A, vol. 224, pp. 105–120, 2010.

  • Downloads