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    • 7. 发明授权
    • Method and system for operating a battery in a selected application
    • 用于在所选应用中操作电池的方法和系统
    • US08190384B2
    • 2012-05-29
    • US13283524
    • 2011-10-27
    • Xiangchun ZhangYen-Hung ChenChia-Wei WangAnn Marie Sastry
    • Xiangchun ZhangYen-Hung ChenChia-Wei WangAnn Marie Sastry
    • G01R31/36
    • G01R31/3651G01R31/3624
    • A method of the present invention using a prediction process including a battery equivalent circuit model used to predict a voltage and a state of charge of a battery. The equivalent circuit battery model includes different equivalent circuit models consisting of at least an ideal DC power source, internal resistance, and an arbitrary number of representative parallel resistors and capacitors. These parameters are obtained a priori by fitting the equivalent circuit model to battery testing data. The present invention further uses a correction process includes determining a corrected predicted state of charge of the battery; and storing the corrected state of charge of the battery in a storage medium. In the present invention, an expectation of the predicted voltage of the battery and an expectation of the predicted state of charge of the battery are obtained by an unscented transform with sigma points selected by a Gaussian process optimization.
    • 本发明的方法使用包括用于预测电池的电压和电荷状态的电池等效电路模型的预测处理。 等效电路电池模型包括由至少理想的直流电源,内部电阻和任意数量的代表性并联电阻器和电容器组成的不同等效电路模型。 通过将等效电路模型拟合到电池测试数据,先验获得这些参数。 本发明还使用校正处理,包括确定修正的电池的预测充电状态; 以及将所述电池的校正的电荷状态存储在存储介质中。 在本发明中,通过具有通过高斯过程优化选择的Σ点的无密度变换来获得对电池的预测电压的预期和电池的预测充电状态的预期。
    • 8. 发明申请
    • METHOD AND SYSTEM FOR OPERATING A BATTERY IN A SELECTED APPLICATION
    • 在选择的应用中操作电池的方法和系统
    • US20120041698A1
    • 2012-02-16
    • US13283524
    • 2011-10-27
    • Xiangchun ZHANGYen-Hung ChenChia-Wei WangAnn Marie Sastry
    • Xiangchun ZHANGYen-Hung ChenChia-Wei WangAnn Marie Sastry
    • G01R31/36
    • G01R31/3651G01R31/3624
    • A method of the present invention using a prediction process including a battery equivalent circuit model used to predict a voltage and a state of charge of a battery. The equivalent circuit battery model includes different equivalent circuit models consisting of at least an ideal DC power source, internal resistance, and an arbitrary number of representative parallel resistors and capacitors. These parameters are obtained a priori by fitting the equivalent circuit model to battery testing data. The present invention further uses a correction process includes determining a corrected predicted state of charge of the battery; and storing the corrected state of charge of the battery in a storage medium. In the present invention, an expectation of the predicted voltage of the battery and an expectation of the predicted state of charge of the battery are obtained by an unscented transform with sigma points selected by a Gaussian process optimization.
    • 本发明的方法使用包括用于预测电池的电压和电荷状态的电池等效电路模型的预测处理。 等效电路电池模型包括由至少理想的直流电源,内部电阻和任意数量的代表性并联电阻器和电容器组成的不同等效电路模型。 通过将等效电路模型拟合到电池测试数据,先验获得这些参数。 本发明还使用校正处理,包括确定修正的电池的预测充电状态; 以及将所述电池的校正的电荷状态存储在存储介质中。 在本发明中,通过具有通过高斯过程优化选择的Σ点的无密度变换来获得对电池的预测电压的预期和电池的预测充电状态的预期。