Continental Teves, Inc.

Fritz Paul-Emil Dilger

Yongle Lou

Jeffrey Thomas Musson

A method and system is provided for acquiring and analyzing vehicle motion signals to determine vehicle performance. The sampled vehicle motion signals are transferred from the time domain to the frequency domain using online frequency analysis. Once the frequency spectrum for the sampled vehicle motion data is obtained, the main frequencies and associated amplitudes are identified. Depending on the type of test conducted and the vehicle components to be analyzed, the natural frequencies of interest will be known and identified in the frequency spectrum. Online frequency analysis is used for analyzing the pre-defined frequencies in embedded systems with restricted computational resources and storage facilities. A weight filter matrix is used to calculate the frequency spectrum of interest in real time. The matrix is pre-calculated in accordance with a given sampling time, sampling rate, and selected frequencies.

Online frequency analysis for resource optimized systems

For distinguishing two signals from different sources but with similar shapes, a signal generator offsets the signals from each other so that the values each signal assumes can be positively identified as being in permissible value ranges of one unique channel. The offset of the signals from each other is at least as large as the range of values for each channel. In this case, a mix up of channel from a signal generator to an electronic control unit can safely be detected. Also, if no positive assignment of a signal to one channel is possible, an error message can be provided. To carry out this analysis, not only the digital value of on and off of such a signal, but also the analog value, i.e. the absolute amplitude of that signal is measured for a determination of the offset. This can easily be done for two signals, but also for three or more, if only appropriate offsets are chosen.

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Royal Oak, MI, United States of America

Fritz Paul-Emil Dilger