METHOD AND APPARATUS FOR DETECTING KEY-ON AND KEY-OFF STATES USING TIME-TO-FREQUENCY TRANSFORMS

摘要

A key state detector for a vehicle collects a sequence of battery voltage samples and applies a time-domain to frequency-domain transform (TFT) to the collected samples. The results of the TFT are then applied to an artificial neural network (ANN) to determine if they represent a key-on or key-off state. The ANN is trained based on data collected from the vehicle and is periodically retrained so that the detection of key-on and key-off states conforms to the particular vehicle and tracks the aging of vehicle components

主权项

1. A method for determining the key state of a vehicle comprising:
a) collecting a sequence of battery voltage samples for the vehicle; b) calculating a time-domain to frequency-domain transform (TFT) for the collected samples to produce a set of frequency domain features; c) applying the set of frequency domain features to an artificial neural network (ANN) to determine the key state of the vehicle; and repeating steps a), b) and c) at predetermined intervals to monitor a current key state of the vehicle.