基于人工智能的汽车电路故障分析与优化技术研究

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中图分类号：U463.6 文献标识码：B 文章编号：1003-8639（2026）02-0165-03

Research onAutomotiveCircuitFaultAnalysisand Optimization Technology Based on Artificial Intelligence

Ma Jianhua (Siyang Vocational School, Suqian 2237oo, China)

【Abstract】 With the continuous increase in the complexity of automotive electrical systems,circuit faults present characteristics such as concealment,transience,and multi-source coupling.The traditional diagnostic method based on experience hasobvious limitations in accuracyand real-time performance.To address common problems such as power fluctuations,poor contact,and bus interference,this paper constructs a circuitfault analysis method basedonArtificial Intellgence (AI).Throughmulti-source electricaldata featureextractionand lightweight modeldesign,itrealizesrapid identification of various fault types,and on this basis,proposes optimization measures such as power stabilization, communicationretransmision,and structural reinforcement.Theexperimentalresultsverified the proposed method from two dimensions: fault identification efficiency and system operation status.

【Key words】automotive circuits；Artificial Intelligence;；fault diagnosis;feature extraction;optimization strategies

0 引言

随着整车电子控制单元（ElectronicControlUnit，ECU）数量的增加和功能集成度的提高，汽车电路在多工况环境下的运行稳定性已成为车辆设计和运维中的重要议题。（剩余5258字）