Computational technique for turbocharger transient characterization using real driving conditions data

The use of turbochargers is linked to strategies such as engine downsizing or downspeeding, once the use of this device compensates performance losses observed with the reduction of the displaced volume by compressing the air to be admitted. Steady-state tests of turbochargers are common in literature although not consistent with real behavior associated with a vehicular transient operation. To approximate the experimental tests using gas standard test benches to these real conditions, this paper aims to identify transient behavior of a turbocharger in a vehicular application. Experimental data is collected in two tests: steady-state on a dynamometer and transient on a real highway cycle. Added to the experimental tests, a computational one-dimensional model is developed. The steady-state engine data is used in the model inputs and results of a real transient cycle simulation are validated with the experimental transient data. A standard driving cycle is used to analyze the turbocharger speed behavior when both gear shifting strategy and vehicle load are changed. The computational method presented errors below 5% for the engine and turbocharger speeds, resulting in a powerful tool to perform experimental test profiles and to evaluate operational turbocharger parameters. •A computational technique using real driving database was proposed and validated.•Engine and turbocharger speeds validation showed results errors lower than 5%.•Vehicular parameters were changed to evaluate the turbocharger behavior.•Proposed technique eliminates the need of testing to assess turbocharger behavior.•Turbocharger behavior was evaluated through a standardized driving cycle.