Method, system and medium for diagnosing vehicle network faults
By filtering and analyzing vehicle fault types and parameters in cloud devices and combining multi-dimensional information for diagnosis, the accuracy and efficiency issues of vehicle network fault diagnosis are solved, achieving efficient and reliable fault identification and solution provision.
CN122420161APending Publication Date: 2026-07-17CHONGQING CHANGAN AUTOMOBILE CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHONGQING CHANGAN AUTOMOBILE CO LTD
- Filing Date
- 2026-05-31
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies are insufficient for quickly and accurately diagnosing vehicle network faults, resulting in inadequate diagnostic efficiency and accuracy.
Method used
The system acquires the target fault type and related parameters of the vehicle through cloud devices, filters matching fault data using a fault database, and conducts multi-dimensional analysis by combining fault characteristics, manifestations and related factors. It then uses rule matching and prediction models for diagnosis and provides multiple reference results.
Benefits of technology
It improves the accuracy and efficiency of network fault diagnosis, enhances the reliability and consistency of diagnostic results, can handle complex and emerging fault scenarios, and reduces the risk of misjudgment.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122420161A_ABST
Abstract
本申请至少提供了车辆网络故障的诊断方法、系统及介质。方法应用于云端设备，方法包括：响应于车辆发送的网络故障诊断请求，获取车辆的目标故障类型以及与目标故障类型相关的目标故障参数；不同的目标故障类型对应不同的目标故障参数；在云端设备的故障数据库中，筛选出与目标故障类型匹配的M组故障数据；一组故障数据至少包括故障特征、故障结果；M大于或等于1；故障结果包括故障原因与解决方案中的至少一项；对M组故障数据以及目标故障参数进行分析，确定引起网络故障的N个参考结果；N小于或等于M。该方案提高了网络故障诊断结果的准确性以及效率。
Need to check novelty before this filing date? Find Prior Art