Development and application of empirical models to optimize the control of an internal combustion engine

Introduction. The quality of the engine control units software (SW) significantly determines the output performance of the internal combustion engine (ICE). An important component of the software development process is its adaptation or calibration, which includes a large amount of work to select specific values of control actions to improve the performance of the internal combustion engine operating cycle under toxicity restrictions.

The purpose of the work was to reduce time and material costs during the initial calibration work.

Methodology and research methods. To achieve the goal the application of the calibration technique to the gasoline engine control system was proposed which was to be carried out by using empirical (obtained experimentally) ICE models. The main tool used in the work was the ASCMO software, which was used with ETAS technical support. The calibration process presented in the article was divided into stages: development of an experiment plan, testing (carried out on a gasoline engine model), analysis and processing of the results with the construction of an empirical ICE model, optimization of controlled influences and preparation of calibration maps taking into account the restrictions of harmful emissions during car cycle testing.

Scientific novelty and results. The technique of initial ICE calibration based on the use of an empirical engine model has been formulated. The presented results were obtained without taking into account the statutory norms and rules, the imposed restrictions were formed in an arbitrary way.

Practical significance. The presented method is of practical importance, since it allows to optimize labor costs for carrying out calibration work. A brief assessment of the effectiveness and applications of the technique is provided in the publication.

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