新能源汽车绝缘故障预警与主动服务研究

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中图分类号：U469.72 文献标识码：A 文章编号：1003-8639（2026）03-0017-03

Research on Insulation Fault Early Warning and Active Service for New Energy Vehicles

YuTiantian （SAIC-GM-Wuling Automobile Co.， Ltd.，Liuzhou 545007， China）

【Abstract】 High-voltage system insulation faults represent a critical issue threatening the safety and user experience ofnewenergy vehicles （NEVs）.Thetraditional passve after-sales model struggles to address their suddenness andcomplexity，necessitating a transition towards adata-drivenactive service paradigm.This paper focuses onthe highvalue scenarioof insulation fault early warning，systematicallyconstructingan integrated after-sales big data platform encompassing data collection，real-time analysis，intelligent decision-making，and closed-loop management.The paper elaborates onthe platform's layeredarchitecture，including thedata，computing，analytics，and application layers，and specifically investigates the developmentpath ofan early warning model that integrates deterministic rules with machine learning algorithms.Bydetailing the entire business closed-loop processfrom warning discoveryand remote diagnosis to decision-making and push-notification，the study validatesthe platform's efectiveness and practical value in achieving earlyfaultidentification，precise intervention，and processoptimization.Itprovidesakeymethodologyandimplementation case for automotive manufacturers building intelligent after-sales systems.

【Key Words】NEVs；big data platform;fault early warning;insulation fault;active service;predictive maintenance

0 引言

随着全球新能源汽车产业的迅猛发展与市场渗透率的持续提升，其售后服务体系正面临前所未有的挑战与变革机遇。（剩余4202字）