基于卡尔曼滤波的电动汽车电池SOC估算方法研究

State of Charge Estimation of EV Power Batteries Based on EKF Method

荷电状态SOC(State of Charge)是描述电动汽车动力电池状态的关键参数,对其进行估计,可以防止电池过充过放、有助于充分发挥电池中的能量、延长电池的使用寿命,是实现电池高效管理的关键技术之一。论文用卡尔曼滤波法对其进行估计,克服了安时法确定SOC初值难和存在累计误差的问题,易于工程实现,具有很好的实用价值。

Battery SOC estimation is an important part of the battery management system in electric vehicles. Analysis of SOC helps for better management of charge and discharge of batteries, makes use of the battery charge, and extend the life of batteries. SOC is estimated by EKF in this text. It is shown that the EKF method gains a higher steady state accuracy, and stronger anti-disturbing capability than Ah method.