Pattern recognition approach to battery diagnosis and prognosis
First Claim
1. A method for determining a state-of-health of a battery during an engine cranking phase, the method comprising the steps of:
- initiating the engine cranking phase;
recording characteristic data including battery voltage data and engine cranking speed data during the engine cranking phase;
providing characteristic data to a pre-processing unit, the pre-processing unit normalizing the characteristic data for processing within a classifier;
inputting the normalized data to the classifier for determining the battery state-of-health, the classifier having a trained state-of-health decision boundary resulting from a plurality of trials in which predetermined characterization data is collected with known classes; and
classifying the battery state-of-health based on the trained state-of-health decision boundary.
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Abstract
A method is provided for determining a state-of-health of a battery in a vehicle-during an engine cranking phase. An engine cranking phase is initiated. Characteristic data is recorded that includes battery voltage data and engine cranking speed data during the engine cranking phase. The characteristic data is provided to a pre-processing unit. The pre-processing unit normalizes the characteristic data for processing within a classifier. The normalized data is input o the classifier for determining the vehicle battery state-of-health. The classifier has a trained state-of-health decision boundary resulting from a plurality of trials in which predetermined characterization data is collected with known classes. The battery state-of-health is classified based on the trained state-of-health decision boundary.
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Citations
19 Claims
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1. A method for determining a state-of-health of a battery during an engine cranking phase, the method comprising the steps of:
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initiating the engine cranking phase; recording characteristic data including battery voltage data and engine cranking speed data during the engine cranking phase; providing characteristic data to a pre-processing unit, the pre-processing unit normalizing the characteristic data for processing within a classifier; inputting the normalized data to the classifier for determining the battery state-of-health, the classifier having a trained state-of-health decision boundary resulting from a plurality of trials in which predetermined characterization data is collected with known classes; and classifying the battery state-of-health based on the trained state-of-health decision boundary. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A battery state-of-health monitoring system comprising:
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a preprocessing unit adapted to be coupled to sensed signals for obtaining characteristic data including battery voltage data and engine cranking speed data during an engine cranking phase for a starting of a vehicle; and a classifier having a trained state-of-health decision boundary resulting from a plurality of trials in which predetermined characterization data is collected with known classes, the classifier further having a processor for comparing the characterization data and the trained state-of-health decision boundary to produce a state-of-health class indicating the degree of similarity with the known classes. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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Specification