Battery health assessment estimator
First Claim
1. A method of estimating a state of health (SOH) of one or more batteries, comprising the steps of:
- estimating a sampling of internal resistances of said one or more batteries;
generating a time history of said internal resistances over a predetermined amount of time;
generating a cumulative internal resistance histogram from said time history using said internal resistances in relation to said predetermined amount of time;
calculating a final estimate of the internal resistance of said one or more batteries which represents a calculated SOH of said one or more batteries; and
comparing said calculated SOH to a predetermined critical resistance threshold for determining if said one or more batteries are in a failed condition.
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Accused Products
Abstract
A battery state of health estimator and similar method, system and computer product is disclosed providing for a estimate of a state of health (SOH) of one or more batteries, comprising, estimating a sampling of internal resistances of the one or more batteries, generating a time history of the internal resistance over a predetermined amount of time, generating a cumulative internal resistance histogram from the time history, calculating a final estimate of internal resistance of one or more batteries which represents the calculated SOH of one or more batteries and comparing the calculated SOH to a predetermined critical resistance threshold. If the calculated SOH is less than the predetermined critical resistance threshold, the battery is in no worse than a “Blue Monday” condition, and if the calculated SOH is greater than the critical resistance threshold, then the one or more batteries has failed.
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Citations
20 Claims
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1. A method of estimating a state of health (SOH) of one or more batteries, comprising the steps of:
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estimating a sampling of internal resistances of said one or more batteries; generating a time history of said internal resistances over a predetermined amount of time; generating a cumulative internal resistance histogram from said time history using said internal resistances in relation to said predetermined amount of time; calculating a final estimate of the internal resistance of said one or more batteries which represents a calculated SOH of said one or more batteries; and comparing said calculated SOH to a predetermined critical resistance threshold for determining if said one or more batteries are in a failed condition. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system of estimating a state of health (SOH) of one or more batteries, comprising:
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means for estimating a sampling of internal resistances of said one or more batteries; means for generating a time history of said sampling of internal resistances over a predetermined amount of time; means for generating a cumulative internal resistance histogram from said time history using said internal resistances in relation to said predetermined amount of time; means for calculating a final estimate of internal resistance of said one or more batteries which represents a calculated SOH of said one or more batteries; and means for comparing said calculated SOH to a predetermined critical resistance threshold for determining if said one or more batteries are in a failed condition. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A method of determining if one or more batteries are shorted, comprising the steps of:
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generating an open circuit voltage (OCV) histogram of a nominal open circuit voltage from each of said one or more batteries; selecting a peak OCV value from said generated OCV histogram; and comparing said selected peak OCV value to a predetermined nominal range, wherein if said selected peak OCV value is outside said predetermined nominal range, said one or more batteries has a shorted cell. - View Dependent Claims (16, 17, 18, 19)
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20. A computer program product comprising non-transitory computer usable medium having computer readable program code embodied therein for enabling a computer to estimate a state of health (SOH) of one or more batteries, and for causing the computer to activate the steps of:
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estimating a sampling of internal resistances of said one or more batteries; generating a time history of said internal resistances over a predetermined amount of time; generating a cumulative internal resistance histogram from said time history using said internal resistances in relation to said predetermined amount of time; calculating a final estimate of internal resistance of said one or more batteries which represents a calculated SOH of said one or more batteries; and comparing said calculated SOH to a predetermined critical resistance threshold, wherein if said calculated SOH is less than the predetermined critical threshold, said battery is in no worse than a Blue Monday condition, and if said calculated SOH is greater than the critical resistance threshold, then said one or more batteries has failed.
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Specification