基于EKF算法的铅酸蓄电池SOC在线检测装置设计

Device design for estimating SOC of lead-acid battery based on extended Kalman filtering

为在线检测铅酸蓄电池的荷电状态,基于6-TKA-180型铅酸蓄电池建立其等效电路模型并进行参数辨识,在此基础上,应用扩展卡尔曼滤波算法进行了铅酸蓄电池荷电状态在线检测装置的设计,并通过实验验证了基于扩展卡尔曼滤波算法的铅酸蓄电池荷电状态在线检测的可靠性与准确性。

The equivalent circuit model based on the tape of 6-TKA-180 battery to estimate the SOC of the Lead-acid Battery was established, and the state parameters were estimated. Through the extended Kalman filtering, a device to monitor the SOC of the Lead-acid Battery on-line was designed. And through the experiment, the reliability and veracity of the SOC on-line monitoring of the Lead-acid Battery based on the extended Kalman filtering were proved.