AI驱动的汽车电子系统故障自修复与性能优化

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中图分类号：U463.6 文献标识码：A 文章编号：1003-8639（2025）07-0153-03

Self-repair and Performance Optimization of AI-driven Automotive Electronic System Faults

Wang Jiangtao

（Collgeof Electricaland Control Engineering，NanjingPolytechnic Institute，Nanjing 21O048，China）

【Abstract】With the exponential increase in thecomplexity ofautomotive electronic systems，traditional rule-based controlstrategiesstruggletoaddress dynamicfaultsandperformancedegradationundermulti-domain fusionarchitectures. The surge in thenumberofon-board controllers makes system-level faultlocalization challenging.Thedualrequirements forfunctional safetyand information security impose higherdemandsonreal-timeresponsecapabilities.Thecontradiction between the dynamicscheduling needs of heterogeneous computing resourcesand the fixed management model is becoming increasinglyprominent.Artificialintelligence technologyofersnewsolutionstothesechallenges．Itsdatadrivenlearningcapabilitiesanddynamicdecision-making characteristicsmakeitpossible tobuildautomotiveelectronic systemswithself-healingandadaptiveabilities.Therefore，thispapersystematicallyinvestigatesAI-driven faultselfhealingandperformanceoptimizationinautomotiveelectronicsystems，aiming tofacilitatethetechnological leapfrom passive maintenance to proactive evolution in automotive electronics.

【Keywords】 artificial intelligence；automotive electronic system；self-repair

现代汽车正加速向“软件定义”方向演进，电子系统承担着从动力控制到智能驾驶的核心功能。（剩余3797字）