METHOD AND APPARATUS FOR DETECTING KEY-ON AND KEY-OFF STATES USING TIME-TO-FREQUENCY TRANSFORMS
First Claim
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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.
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Abstract
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
15 Citations
20 Claims
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1. A method for determining the key state of a vehicle comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. Apparatus for determining the key state of a vehicle comprising:
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an analog-to-digital converter (ADC) for sampling a battery voltage of the vehicle at predetermined intervals to collect respective sets of digitized battery voltage samples; a sample memory coupled to the ADC to store the collected sets of samples; a processor configured to calculate a time-domain to frequency-domain transform (TFT) for each set of samples to produce respective sets of frequency domain features; an artificial neural network (ANN) coupled to the processor to sequentially process the sets of frequency domain features to determine the key state of the vehicle. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A non-transitory computer readable medium including computer programming instructions configured to cause a processor to:
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collect a plurality of sets of battery voltage samples for a vehicle; calculate, for each set of battery voltage samples, a time-domain to frequency-domain transform (TFT) to produce a respective set of frequency domain features; apply each set of frequency domain features to an artificial neural network (ANN) to determine the key state of the vehicle. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification