Abstract
The paper highlights the three important and inseparable aspects of the systemic approach of engines functioning and automotive dynamics: to take into account the human-vehicle-field interaction, to handle driving with algorithms specific to systems theory and experimental data analysis with algorithms specific to signal theory. Within the paper, systemic approach of engines functioning and automotive dynamics is based on experimental data obtained from tests, with the help of which it is analysed the dynamic and there are obtained movement mathematical models by using systems identification algorithms. Also, there are shown main methods for experimental data analysis, with the use of probability theory, information theory, correlation analysis and variance analysis; in addition, there are highlighted possibilities given by time analysis, frequency analysis and time-frequency analysis of data. Identification algorithms and analysis procedures assure automotive dynamics and fuel saving study by directly using experimental data or by using established mathematical models and applying concepts and algorithms specific to systems theory. Experimental data were obtained from tests with an electronic control automotive and using acquisition and storage equipment for data given by the on-board computer and taken by embedded sensors.
Keywords: electronic control, main systems, statistical characteristics, time-frequency analysis, vehicle engine.