新能源电动汽车维修中电子检测诊断技术的应用  

Application of Electronic Detection and Diagnosis Technology in New Energy Electric Vehicle Maintenance

作　　者：王帮河 Wang Banghe(Guiyang Wudang District Secondary Vocational School,Guiyang 550002,China)

机构地区：[1]贵阳市乌当区中等职业学校,贵阳550002

出　　处：《黑龙江科学》2022年第22期64-66,共3页Heilongjiang Science

摘　　要：为促进新能源电动汽车电子诊断技术的应用,介绍了几种主要的电子检测诊断技术方法,包括神经网络故障诊断、故障树分析法、多源信息融合技术等。分析了其在判断发电机故障、检测汽车电路与汽车控制系统故障及动力电池中的应用。通过电子诊断技术,可准确诊断新能源电动汽车故障发生位置与类型,并制定特定的维修方案,节约了维修时间。利用计算机系统记录车辆运行和维修状态,可减少维修操作的复杂性,有效提高车辆的安全性,促进了维修方式的多元化发展。In order to promote the application of electronic detection and diagnosis technology in new energy electric vehicle,the study introduces several main kinds of electronic detection and diagnosis technology,including neural network fault diagnosis,fault tree analysis,and multi-source information fusion,etc.Then the study analyzes the application of the methods in the judgment of electric generator fault,the detection of automobile circuit,vehicle control system fault and power battery.Through electronic diagnosis technology,we can accurately diagnose the failure occurrence location and type of new energy electronic vehicle,formulate specific maintenance scheme,and save maintenance time.Through the utilization of computer system in the record of vehicle operation and maintenance situation,we can decrease the complexity of maintenance operation,effectively improve vehicle safety,and promote the diversification development of maintenance methods.

关 键 词：新能源电动汽车 汽车维修 电子诊断技术 应用 

分 类 号：U472.9[机械工程—车辆工程]