基于大数据的纯电动客车动力电池健康状态估算方法研究

Research on Power Battery SOH Estimation method of Pure Electric Bus Based on Big Data

基于车载终端实时采集的大数据,提出了一种纯电动客车动力电池健康状态(state of health,SOH)的估算方法.通过MATLAB仿真软件,编程估算了纯电动客车各个时刻的SOH.最后,通过对动力电池系统进行实验来验证模型和算法的有效性.实验结果表明:基于大数据的纯电动客车动力电池SOH的估算方法能够有效估算动力电池系统的实时SOH.

Based on the big data collected in real time by the on-board terminal,this paper proposes a estimation method of pure electric bus power battery health status(SOH).Through matlab simulation software,the SOH of a pure electric bus at each moment is programmed.Finally,the validity of the model and algorithm is verified by experiments on the power battery system.The results show that the estimation method of pure electric bus power battery health status(SOH)based on big data can effectively estimate the real-time SOH of power battery system.