Abstract

This work addresses the early stage calibration of a Formula SAE engine 1-D fluid dynamic model starting from limited experimental data. The availability of an engine model since the early stages of the development of a new Formula SAE vehicle allows to carry out preliminary analyses or ECU calibration. A few experimental tests have been executed at wide open throttle and variable engine speed. Then, a 1D thermo-fluid dynamic engine model has been developed starting from the geometry data of the engine. A vector optimization problem has been then solved to calibrate the engine model. In particular, the error minimization between numerical and experimental values of the torque in different engine operating conditions has been set as objective of the optimization process. Finally, starting from the results of the proposed calibration methodology, a decision-making criterion allowed the identification of a single optimal solution within the Pareto optimal front together with the related values for the set of calibration parameters. The results highlight how the proposed calibration procedure could be usefully adopted to set an early stage engine model which could be properly adopted to preliminarily detect the effects of geometric changes or control parameters variations on the main engine performance.

Highlights

  • Purpose of this study is the set up and calibration of a 1-D thermo-fluid dynamic engine model since the early stage of development of the engine, when limited experimental data are available

  • To calibrate the engine model starting from the few available experimental data, a vector optimization problem has been solved with the objective of minimizing the error between numerical and experimental values of the torque along the full load curve

  • To identify a set of values for the calibration parameters of the 1D engine model, a decision-making criterion has been applied to identify a single optimal solution among those belonging to the Pareto optimal front

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Summary

Introduction

Purpose of this study is the set up and calibration of a 1-D thermo-fluid dynamic engine model since the early stage of development of the engine, when limited experimental data are available. This way, preliminary analyses or ECU calibration [1,2,3] could be carried out. To calibrate the engine model starting from the few available experimental data, a vector optimization problem has been solved with the objective of minimizing the error between numerical and experimental values of the torque along the full load curve. To identify a set of values for the calibration parameters of the 1D engine model, a decision-making criterion has been applied to identify a single optimal solution among those belonging to the Pareto optimal front

The Engine Prototype
The Calibration Procedure
Results and Discussion
Conclusion
Full Text
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