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Conditioning Turbocharger Compressor Map Data for Use in Engine Performance Simulation
Journal Article
03-11-04-0033
ISSN: 1946-3936, e-ISSN: 1946-3944
Sector:
Citation:
McMullen, R. and Pino, Y., "Conditioning Turbocharger Compressor Map Data for Use in Engine Performance Simulation," SAE Int. J. Engines 11(4):491-507, 2018, https://doi.org/10.4271/03-11-04-0033.
Language:
English
Abstract:
Turbocharger compressor maps are used in engine performance modeling and
simulation to predict engine air system operating conditions. Errors in
compressor map data can result in inaccurate engine performance prediction. A
method is described for conditioning compressor map data for use in engine
performance simulation, by detecting and replacing suspect data points, and
interpolating and extrapolating the map data. The method first characterizes
enthalpy rise through the compressor, after removing data points likely
influenced by heat transfer from turbine to compressor, using energy transfer
coefficient vs. impeller outlet flow coefficient. This is done concurrently with
estimating impeller outlet conditions using simplified geometry assumptions and
a modified definition for compressor stage reaction. A single value for this
modified stage reaction is determined to collapse all of the compressor map data
onto one curve for energy transfer coefficient vs. impeller outlet flow
coefficient. Next, the method characterizes pressure recovery corresponding to
enthalpy rise, using simplified models for flow friction and incidence losses.
To verify capability, the method is applied to compressor map data historically
resulting in accurate engine performance prediction. The modeled compressor map
predicts speed within ±2% and specific enthalpy rise within ±3% of measured data
for more than 90% of the evaluated engine data points. To demonstrate
usefulness, compressor maps with suspected issues are conditioned using this
method. The conditioned maps reduce speed prediction error to measured engine
data by up to 5 percentage points. However, predictions using the conditioned
map for the extrapolated region to low compressor speed may not be sufficiently
accurate for all compressor data. Future work will focus on improving method
assumptions for this operating region.