基于多信息融合的汽車電子系統故障診斷技術研究

李強

摘要：

汽車電子技術的快速發展導致潛在安全隱患的增加，為此車載診斷（OnBoard Diagnostic，OBD）系統成為車輛安全的重要保障。為了解決OBD對制造誤差或老化故障不敏感的問題，提出了一種多信息融合方法，通過數據融合層、特征融合層和決策融合層構建診斷模型。該模型主要集中在診斷結果的可靠性分配上，通過故障模擬器系統來模擬進氣壓力傳感器的偏差和漂移故障，實現真實的車輛實驗以獲取用于驗證方法可用性數據。結果表明，多信息融合方法有效提高了診斷的準確性和可靠性。

關鍵詞：

汽車電子技術; 車載診斷系統; 多信息融合; 可靠性分配

中圖分類號： TP393

文獻標志碼： 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