大数据在电动汽车电池管理的应用研究综述  

Review of Application Research of Big Data in Electric Vehicle Battery Management

作　　者：李放 张营[1] 闵永军[1] Li Fang;Zhang Ying;Min Yongjun(College of Automotive and Traffic Engineering,Nanjing Forestry University,Nanjing City,Jiangsu Province 210037,China)

机构地区：[1]南京林业大学汽车与交通工程学院,江苏省南京市210037

出　　处：《农业装备与车辆工程》2022年第10期129-133,157,共6页Agricultural Equipment & Vehicle Engineering

摘　　要：梳理并分析了大数据视角下国内外对电池管理系统(Battery Management System, BMS)中荷电状态(State of Charge, SOC)估计、健康状态(State of Health, SOH)评估、故障诊断,续行驶里程预测的各种研究方法,总结了当前存在的问题并展望未来研究方向,为相关研究提供参考。This paper sorts out and analyzes various research methods of state-of-charge estimation, health status assessment, fault diagnosis, and mileage prediction in battery management systems from the perspective of big data at home and abroad, and summarizes the existing problems and looks forward to the future research direction, so as to provide reference for relevant research.

关 键 词：大数据 电动汽车 电池管理 数据驱动 

分 类 号：U461.99[机械工程—车辆工程]