首页> 外国专利> BATTERY STATE ESTIMATION METHOD USING DUAL EXTENDED KALMAN FILTER, SYSTEM THEREOF, AND RECORDING MEDIUM FOR PERFORMING SAME

BATTERY STATE ESTIMATION METHOD USING DUAL EXTENDED KALMAN FILTER, SYSTEM THEREOF, AND RECORDING MEDIUM FOR PERFORMING SAME

机译:使用双重扩展卡尔曼滤波器的电池状态估计方法,系统及其执行相同记录的介质

摘要

Disclosed are a battery state estimation method, a system thereof, and a recording medium for performing the same. The method can estimate a state of a battery by applying an ARX model and a dual extended Kalman filter. The battery state estimation system estimates a parameter of a battery model by using the ARX model and estimates a state of the battery by applying the estimated parameter of the battery model to the dual extended Kalman filter including a state filter used to estimate a state of charge (SOC) and a weight filter used to estimate a state of health (SOH) of the battery model.;COPYRIGHT KIPO 2016
机译:公开了一种电池状态估计方法,其系统以及用于执行该方法的记录介质。该方法可以通过应用ARX模型和双扩展卡尔曼滤波器来估计电池的状态。电池状态估计系统通过使用ARX模型来估计电池模型的参数,并通过将电池模型的估计参数应用于包括用于估计充电状态的状态滤波器的双扩展卡尔曼滤波器来估计电池状态。 (SOC)和权重过滤器,用于估计电池模型的健康状态(SOH)。; COPYRIGHT KIPO 2016

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