Fractional depletion estimation for battery condition metrics
First Claim
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1. A computer-implemented process of evaluating a battery state comprising:
- collecting, by a battery monitor that is coupled to an industrial vehicle battery, samples that represent a measure of a magnitude of a current discharged from the industrial vehicle battery during use of a corresponding industrial vehicle, wherein the battery monitor has at least one sensor to sample battery current;
sorting, by a processor, collected samples into corresponding bins based upon the magnitude of the collected current samples, wherein the corresponding bins are stored in memory that is accessible by the processor;
creating, by the processor, a battery use estimate based upon a number of samples sorted into the corresponding bins;
determining, by the processor, for each of the corresponding bins, a fractional depletion contribution of the industrial vehicle battery by computing a quotient where the quotient is computed by dividing a lifetime expected estimate for that bin by the battery use estimate for that bin;
generating, by the processor, a depletion estimate associated with the battery state based upon an accumulation of the fractional depletion contributions; and
outputting a measure of the battery state based upon the generated depletion estimate.
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Abstract
Evaluation of a battery state comprises transforming a time based history of the load on the battery into a spectral representation of that history in a load domain, e.g., the current domain. The method also comprises comparing the spectral representation to an expected battery capability for the load represented by each line in the spectra and calculating the fraction of the expected capability used at each spectral line. The method still further comprises aggregating the calculated fractions into a total fraction that represents the estimated fraction of the expected battery capability associated with that particular time history.
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Citations
25 Claims
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1. A computer-implemented process of evaluating a battery state comprising:
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collecting, by a battery monitor that is coupled to an industrial vehicle battery, samples that represent a measure of a magnitude of a current discharged from the industrial vehicle battery during use of a corresponding industrial vehicle, wherein the battery monitor has at least one sensor to sample battery current; sorting, by a processor, collected samples into corresponding bins based upon the magnitude of the collected current samples, wherein the corresponding bins are stored in memory that is accessible by the processor; creating, by the processor, a battery use estimate based upon a number of samples sorted into the corresponding bins; determining, by the processor, for each of the corresponding bins, a fractional depletion contribution of the industrial vehicle battery by computing a quotient where the quotient is computed by dividing a lifetime expected estimate for that bin by the battery use estimate for that bin; generating, by the processor, a depletion estimate associated with the battery state based upon an accumulation of the fractional depletion contributions; and outputting a measure of the battery state based upon the generated depletion estimate. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A system for evaluating a battery state comprising:
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a battery monitor that couples to an industrial vehicle battery to collect samples during use of an industrial vehicle, wherein the battery monitor has at least one sensor to sample battery current that represents a measure of a magnitude of a current discharged from a battery powering the industrial vehicle; and a processor that couples to the industrial vehicle and the battery monitor, the processor further coupled to memory that includes program code that when executed, causes the processor to; sort collected samples into corresponding bins based upon the magnitude of the collected current samples; create a battery use estimate based upon a number of samples sorted into the corresponding bins; determine for each of the corresponding bins, a fractional depletion contribution of the industrial vehicle battery by computing a quotient where the quotient is computed by dividing a lifetime expected estimate for that bin by the battery use estimate for that bin; generate a depletion estimate associated with the battery state based upon an accumulation of the fractional depletion contributions; and output a measure of the battery state based upon the generated depletion estimate. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23, 24, 25)
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Specification