基于多信息融合的汽车电子系统故障诊断技术研究

李强

摘要：

汽車电子技术的快速发展导致潜在安全隐患的增加，为此车载诊断（OnBoard Diagnostic，OBD）系统成为车辆安全的重要保障。为了解决OBD对制造误差或老化故障不敏感的问题，提出了一种多信息融合方法，通过数据融合层、特征融合层和决策融合层构建诊断模型。该模型主要集中在诊断结果的可靠性分配上，通过故障模拟器系统来模拟进气压力传感器的偏差和漂移故障，实现真实的车辆实验以获取用于验证方法可用性数据。结果表明，多信息融合方法有效提高了诊断的准确性和可靠性。

关键词：

汽车电子技术; 车载诊断系统; 多信息融合; 可靠性分配

中图分类号： TP393

文献标志码： A

Research on Fault Diagnosis Technology of Automotive Electronic System Based on Multiinformation Fusion

LI Qiang

（Automotive Engineering College， Xian Aeronautical Polytechnic Institute， Xian， Shanxi 710089， China）

Abstract：

The rapid development of automotive electronics technology has led to an increase in potential safety hazards， and the onboard diagnostic （OBD） system has become an important guarantee for vehicle safety. In order to solve the problem that OBD is not sensitive to manufacturing error or aging fault， this paper proposes a multiinformation fusion method， which constructs a diagnostic model through data fusion layer， feature fusion layer and decision fusion layer. The model focuses on the reliability distribution of diagnostic results， simulates the deviation and drift faults of the intake pressure sensor through the fault simulator system， and implements real vehicle experiments to obtain the availability data for verification methods. The results show that the multiinformation fusion method effectively improves the accuracy and reliability of the diagnosis.

Key words：

automotive electronics technology; onboard diagnostic system; multiinformation fusion; reliability allocation