Skip to main content
Log in

Mean Value WGT Diesel Engine Calibration Model for Effective Simulation Research

  • Published:
International Journal of Automotive Technology Aims and scope Submit manuscript

Abstract

Recently, to improve vehicle fuel economy, as well as the performance of internal combustion engines, optimized system matching between a vehicle’s drivetrain and engine has become a very important technical issue. For this reason, the need for simulation research on engine and vehicle performance improvement has increased. But in general, since both engine simulation and vehicle simulation require initial engine calibration map input, a simple engine calibration method is required for the efficient configuration of various virtual engine calibration map setups. On this background, in this study, an example of waste gate turbocharger (WGT) cooled — exhaust gas recirculation (EGR) Diesel engine calibration using a test-based mean value engine model is presented as a suitable engine calibration map setting method. Also, the feasibility of an engine calibration model is confirmed through various engine tests. Using the simple model presented here, it is possible for diverse engine operating conditions and engine performance maps to be acquired.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

AF(λ):

air-fuel ratio

Cp :

specific heat ratio

cp :

mean piston speed

D :

blade diameter

Dp :

differential pressure

EGR :

EGR rate

FMEP :

friction mean effective pressure

H :

head

k :

coefficients

:

mass flow rate

M :

compressor inlet Mach number

N :

rotational speed

PMEP :

pumping mean effective pressure

p :

pressure

heat :

energy of gas

Q s :

corrected air flow rate

R:

gas constant

stroke :

engine stroke

T :

temperature

U:

blade tip speed

γ :

specific heat ratio

η :

efficiency

ρ :

air density

ϕ :

non-dimensional flow rate

ψ :

dimensionless head parameter

air:

inlet air

c:

compressor

cool:

cooling

coolant:

coolant

cooler inlet:

cooler inlet gas

cooler outlet:

cooler outlet gas

egr:

exhaust gas recirculation

exmani:

exhaust manifold

i :

indicated

inmani:

intake manifold

max:

maximum

p:

polytropic

r:

ratio

stoi:

Stoichiometric

v :

volumetric

0:

inlet gas

References

  • Barasa, P., Tian, Y., Hardes, S., Owlia, S., Limaye, P., Bailey, D. and Sehgal, Y. (2016). Virtual engine, controls, and calibration development in automated co-simulation environment. SAE Paper No. 2016-01-0090.

    Google Scholar 

  • Davis, F. T. and Corripio, A. B. (1974). Dynamic Simulation of Variable Speed Centrifugal Compressors. ISA CPD 74105, 15–24.

    Google Scholar 

  • Ericksson, L., Lindell, T., Leufven, O. and Thomasson, A. (2012). Scalable component-based modeling for optimizing engines with supercharging, e-boost and turbocompound concepts. SAE Paper No. 2012-01-0713.

    Google Scholar 

  • Guzzella, L. and Amstutz, A. (1998). Control of diesel engines. IEEE Control Systems 18, 5, 53–71.

    Article  Google Scholar 

  • Jensen, J. P., Kristensen, A. F., Sorenson, S. C. and Houbak, N. (1991). Mean value modeling of a small turbocharged diesel engine. SAE Paper No. 910070.

    Google Scholar 

  • Kouremenos, D. A. (2001). Development of a detailed friction model to predict mechanical losses at elevated maximum combustion pressures. SAE Paper No. 2001-01-0333.

    Google Scholar 

  • Mattarelli, E., Rinaldini, C. A. and Cantore, G. (2015). CFD optimization of a 2-stroke range extender engine. Int. J. Automotive Technology 16, 3, 351–369.

    Article  Google Scholar 

  • Miklánek, L., Klír, V., Emrich, M. and Pohoelský, L. (2009). Thermal balance method for EGR rate determination usable for real engine with uncooled EGR system. SAE Paper No. 2009-01-1114.

    Google Scholar 

  • Moraal, P. and Kolmanovsky, I. (1999). Tutbocharger modelling for automotive control applications. SAE Paper No. 1999-01-0908.

    Google Scholar 

  • Pawar, P., Jose, A., Chaudhari, H. B., Juttu, S., Walke, N. H. and Marathe, N. V. (2017). Virtual engine optimization from design to experimentation. SAE Paper No. 2017-26-0264.

    Google Scholar 

  • Phlips, P. (2015). Analytical engine and transmission models for vehicle fuel consumption estimation. SAE Paper No. 2015-01-0981.

    Google Scholar 

  • Rakopoulos, C. D. and Giakoumis, E. G. (2006). Review of thermodynamic diesel engine simulations under transient operating conditions. SAE Paper No. 2006-01-0884.

    Google Scholar 

  • Schorn, N. A. (2014). The radial turbine for small turbocharger applications: Evoluation and analytical methods for twin-entry turbine turbochargers. SAE Paper No. 2014-01-1647.

    Google Scholar 

  • Schudeleit, M. and Küçükay, F. (2016). Emission-robust operation of diesel HEV considering transient emissions. Int. J. Automotive Technology 17, 3, 523–533.

    Article  Google Scholar 

  • Staroselsky, N. and Ladin, L. (1979). Improved surge control for centrifugal compressors. Chemical Engineering, 175–184.

    Google Scholar 

  • Wachtmeister, G., Höhn, B.-R., Wirth, C., Habersbrunner, G. and Ziegler, A. (2010). Concept for hybrid vehicles with simplified diesel engines. ATZ Worldwide 112, 5, 50–57.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jae Woo Chung.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chung, J.W., Kim, N.H., Kim, D.J. et al. Mean Value WGT Diesel Engine Calibration Model for Effective Simulation Research. Int.J Automot. Technol. 19, 209–220 (2018). https://doi.org/10.1007/s12239-018-0020-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12239-018-0020-5

Key Words

Navigation