Abstract
Time signals recorded by the on-board diagnostic system (OBD), describing the manner of vehicle’s movement in actual road conditions show non-stationarity and non-linearity, as well as statistical multiscalarity. In practice, it means that the analysis of registered time series requires modelling of non-linear phenomena. The aim of this study was to examine the nature of the vehicle speed profile in actual road conditions with the method of multifractal analysis. A number of studies indicates that the driving tests applied for many years have not been representative for the actual operating conditions of vehicles. For both the new Worldwide Harmonised Light duty Test Cycle (WLTC), a worldwide harmonised procedure of light vehicle testing, as well as in actual urban driving conditions along the measuring route, being subject to empirical research, confirmation of strong multifractal properties of the recorded vehicle speed time series have been obtained.
Highlights
Tests of the performance of automotive drive systems find application in the phase of concept development, in the design phase, in the production phase, at the admission stage and in the maintenance phase
NEDC is used in Europe, the FTP 75 cycle is used in the United States and JC08 in Japan
Most of the actual time signals, including the time series recorded by the on-board diagnostic system (OBD) and describing the way the manner of vehicle movement in actual road conditions, show non-stationarity and non-linearity as well as statistical multiscalarity
Summary
Tests of the performance of automotive drive systems find application in the phase of concept development (basic cognitive research), in the design phase (as part of prototype testing), in the production phase (during quality control), at the admission stage (type approval tests) and in the maintenance phase (diagnostic tests). Most of the actual time signals, including the time series recorded by the on-board diagnostic system (OBD) and describing the way the manner of vehicle movement in actual road conditions, show non-stationarity and non-linearity as well as statistical multiscalarity. It means that the analysis of recorded time series requires the use of non-linear analysis methods [1, 7].
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