State of charge prediction method and apparatus for a battery
First Claim
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1. A method of determining the state of a battery comprising the steps of:
- generating a state vector that describes the state of the battery;
predicting a response for the state vector;
measuring a response of the battery; and
correcting the state vector based on the differences between the predicted response and the measured response to determine the state of the battery.
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Abstract
A method of determining the state of a battery including the steps of generating a state vector that describes the state of the battery, predicting a response for the state vector, measuring a response of the battery, and correcting the state vector based on the differences between the predicted response and a measured response to determine the state of the battery.
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Citations
21 Claims
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1. A method of determining the state of a battery comprising the steps of:
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generating a state vector that describes the state of the battery;
predicting a response for the state vector;
measuring a response of the battery; and
correcting the state vector based on the differences between the predicted response and the measured response to determine the state of the battery. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method for predicting the state of charge of a battery comprising the steps of:
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generating a state vector describing the state of the battery, including the state of charge of the battery;
initializing the state vector;
predicting a battery response;
measuring a battery response; and
determining the state of charge from the difference between the predicted and measured battery responses. - View Dependent Claims (16, 17)
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18. A method of predicting the state of a battery comprising the steps of:
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generating a state vector describing the state of the battery, the state vector including a plurality of learned battery responses;
initializing the state vector;
generating a covariance matrix;
initializing the covariance matrix;
generating a history vector;
initializing the history vector;
updating the history vector based on an electrical current estimate for the battery;
propogating the estimate;
linearizing the state vector about the estimate;
propogating the covariance; and
updating the state variables in the state vector. - View Dependent Claims (19, 20, 21)
computing a quality estimate of the predicted response based on the history vector and the covariance matrix; and
updating the state vector based on the quality estimate.
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21. The method of claim 18 further comprising the step of linearizing a nonlinear battery model by computing an estimate of quality for a predicted response of the battery.
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