Development and Validation of a Control-Oriented Analytic Engine Simulator 2019-24-0002
Due to the recent anti-pollution policies, the performance increase in Spark Ignition (SI) engines is currently under the focus of automotive manufacturers. This trend drives the control systems designers to investigate accurate solutions and build more sophisticated algorithms to increase the efficiency of this kind of engines.
The development of a control strategy is composed by several phases and steps, and the first part of such process is typically spent to define and validate the logic of the strategy. During this phase a light engine simulator is particularly useful, since it allows producing robust combustion synthetic data with a low calibration and computational effort.
In the first part of this paper the description of a control-oriented analytic engine simulator (ANESIM) is carried out. The latest results about the zero-dimensional knock model presented in a previous paper and some interesting analytical equations that define the main mean combustion indexes trend (like the maximum in-cylinder pressure, the MFB50, the Indicated Mean Effective Pressure) as functions of the engine speed and load are analyzed for the entire engine operating range. A detailed sensitivity analysis to the fitting order is presented and the final formulations are shown and used for the calibration.
The second part is focused on the model implementation in Simulink environment, and on the resulting analytic simulator of the reference GDI Turbo Charged (TC) engine validation. The ANESIM performance is then tested by comparing calculated and experimental data, for steady state and transient operating conditions.