摘要
随着时代的发展,各种新能源汽车在生活中越来越普及,道路交通事故也不断增加,其中有一部分是车辆本身的原因所导致。为防止新能源汽车带“病”运行,本课题基于大数据技术对新能源汽车的健康状态进行检测评价,具体讲分析了车辆主要部件的故障特征,并基于新能源汽车主要部件的异常状态特征进行了研究,给出了车辆健康等级的评价,并进行了可视化展示。相关研究成果能对新能源汽车进行全方位快速、准确的健康监测,有助于维修企业提升服务质量,促进新能源汽车行业信息化管理水平。
With the development of the times,all kinds of new energy vehicles are becoming more and more popular in life,Which leads to the increasing number of traffic accident, some of which are caused by the vehicle itself. In order to prevent the new energy vehicle from running with "disease", this topic detects and evaluates the health status of the new energy vehicle based on big data technology. Specifically, it analyzes the fault characteristics of the main components of the vehicle, studies the abnormal status characteristics of the main components of the new energy vehicle, gives the evaluation of the vehicle health level, and makes a visual display. Relevant research results can carry out comprehensive,rapid and accurate health monitoring of new energy vehicles, help maintenance enterprises improve service quality, and promote the informatization management level in the new energy vehicle industries.
作者
胡舒淋
蔡春花
HU Shulin;CAI Chunhua(School of Intelligent Systems Engineering,Huanghe Jiaotong University,Jiaozuo 454950)
出处
《办公自动化》
2023年第3期15-19,共5页
Office Informatization
基金
基于数据驱动的光伏充电站主电路运行状态评估技术研究(212102210146)。
关键词
新能源汽车
健康状态评价
大数据
new energy vehicle
health status evaluation
big data
