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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, the charged state (SoC) for estimating battery are open. Method determines that the SoC of the value of the first Gaussian Profile gives the battery of the state of the battery of the physical quantity of the measurement of one group of history and the SoC of corresponding history value. This method determines the physical quantity of the measurement of one group of history of use of the second Joint Gaussian distribution SoC, and the SoC of corresponding history value, the battery of current measurement physical quantity, the first Joint Gaussian distribution. Finally,This method determines the current value of the SoC of mean value and variance by battery from the second Gaussian Profile. The battery of the current SoC of estimation of mean value and the reliability estimating value of variance.
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