基于数据驱动的新能源汽车动力电池故障诊断与预警研究

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关键词：新能源汽车；动力电池；故障诊断；预警模型；数据驱动中图分类号：U469.7 收稿日期：2025-04-15 DOI: 10.19999/j.cnki.1004-0226.2025.08.010

Research on New Energy Vehicle Power Battery Fault Diagnosis and Early Warning Based on Data Drive

Shi Yuan Li PengweiLiu Xin Guo Cheng Guo Hang Xi'an Automobile Vocational University,Xi'an 71060o,China Abstract:Aimingatfrequentfaults intheoperationofpowerbatteriesofnewenergyvehicles，thispaperconstructsafaultdiago sis andearlywarningmethodsystembasedonmulti-sourcedatacollctedbyrealvehicles.Theresearch focusesondata preprocesing, feature dimensionalityeduction,diagnosis modelconstructionandearlywaringmodelverification,andproposesadiagnosisseme foralarmdatasreeningandeuraletworkalgorithintegationCombinedwithteparameterpredictionmetod,thekeystatesuch asvoltage，temperatureandSOCcanbeidentifiedandwaredinadvance.Theexperimentalresultsshowthatthemodelhashighaccu racyandstabilityndigicantlyimprovstheatandfoward-ongateryfaultidntificationTseahesultspode effective support for the inteligent maintenance of the power battery system of new energy vehicles.

Key Words:New energy vehicles;Power battery;Fault diagnosis;Early warning model;Data-driven

1前言

动力电池作为新能源汽车的核心部件，其运行状态直接影响整车的安全性和稳定性。（剩余5503字）