新能源汽车电驱动系统故障诊断与智能预警方法研究

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关键词：新能源汽车；电驱动系统；故障诊断；智能预警；数据融合中图分类号：U472.9 收稿日期：2025-07-14 DOI：10.19999/j.cnki.1004-0226.2026.02.022

Research on Fault Diagnosis and Intelligent Early Warning Methods for Electric Drive Systems of New Energy Vehicles

Wu Shan Xia Hao Xi'an Automobile Vocational University，Xi'an 7106oo，China

Abstract：During theoperationof theelectricdrivesystemofnewenergyvehicles，problems suchasabnormaltemperaturerise， signaldistortionadcmponntfurearepronetooccurndtisurgenttoimprovetheleveloffultdagosisndalyaigis papertakestheelectricdrivesystemasthereseachobject，constructsaninteligentdagnosisandearlywaingmethodbasedonmultisourcedatafusioandeuraletworkalgoriths，extractskeytime-frequncyfeatursandtraisteconvolutioaleuraletwokod eltoachievefaultidentificationFaultsimulationanddataacqustionexperimentswerecarrdoutinombationwithteelectricdrive testplatformerifingteadvantagesofthemethodintemsofauracyandreal-tieperformance.Theresearchresultscanprovide technicalsupportforthemonitoringoftheoperationstatusofteelectricdrivesystem，faultpredictioandteformulationofmainte nance strategies.

KeyWords：Newenergy vehicles;Electricdrive system;Fault diagnosis;Inteligent early warning;Data fusion

1前言

新能源汽车作为绿色交通的重要载体，其核心部件电驱动系统运行工况复杂，易受到电气干扰、机械磨损、热管理不良等因素影响，导致系统性能下降或突发故障，严重时将影响整车安全，当前常用的故障诊断方法存在依赖专家经验、实时性不足、适应性差等问题，难以满足智能化监测需求。（剩余5319字）