基于数据融合的电动汽车高压采集方法

A High-voltage Collection Approach for Electric Vehicles Based on Data Fusion

高电压采集是电动汽车电池管理系统的最主要任务之一。准确、稳定的高电压采集对电池管理系统估算SOC与SOH和动力电池安全管理等都有着重要意义。本文中提出了一种基于多传感器融合技术和卡尔曼滤波器的高电压采集方法。首先,对两种现有的高压采集方法进行了融合,解决了总电压采集数据的误差和噪声的问题;其次,对融合模型和卡尔曼滤波器进行了改进,精简了数据融合时的复杂计算;最后,通过实验证明所提出的高压采集方法具有较高的精度和稳定性。

High voltage collection is one of the primary task of battery management system （ BMS） in elec-tric vehicle （ EV） . The accuracy and stability of high-voltage collection are of important significance for the estima-tion of SOC and SOH by BMS and the safety management of power batteries. In this paper, a high voltage collection method is proposed based on multi-sensor fusion and Kalman filter. Firstly, two existing approaches of high-voltage collection are fused to tackle the error and noise issues of total voltage data collection. Then fusion model and Kal-man filter are modified and improved and the complex calculation in data fusion is simplified. Finally it is demon-strated by experiments that the high-voltage collection method proposed has higher accuracy and stability.