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METHOD AND SYSTEM FOR ESTIMATING STATE OF CHARGE OF A BATTERY USING GAUSSIAN PROCESS REGRESSION
METHOD AND SYSTEM FOR ESTIMATING STATE OF CHARGE OF A BATTERY USING GAUSSIAN PROCESS REGRESSION
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机译：利用高斯过程回归估计电池充电状态的方法和系统
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摘要
Method and system for estimating a state of charge (SoC) of a battery are disclosed. A method determines a first joint Gaussian distribution of values of the SoC given a set of historical measured physical quantities of the state of the battery and a corresponding set of historical values of the SoC of the battery. The method determines a second joint Gaussian distribution of SoC using the set of historical measured physical quantities and the corresponding set of historical values of the SoC, current measurement physical quantities of the battery and the first joint Gaussian distribution. Finally, the method determines a mean and a variance of the current value of the SoC of the battery from the second joint Gaussian distribution. The mean is an estimate of the current SoC of the battery, and the variance is a confidence of the estimate.
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