Vehicle Fault-State Diagnostics for Faster Component Isolation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle diagnostic tools struggle to accurately and efficiently determine the cause of faults due to varying fault codes across manufacturers, requiring manual intervention and extensive user knowledge, leading to laborious and time-consuming diagnostics.
Innovation Solution
A method and device that automatically determine vehicle fault states by analyzing fault codes and sensor measurement variables using historical data, inducing the fault state, and identifying potentially defective components, reducing the need for manual intervention and user expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of fault codes is performed using existing diagnostic tools, then diagnostic coverage can be achieved, but diagnostic time and labor effort increase significantly
Solution Approach 1:
The system pre-generates test sequences and diagnostic logic before faults occur, storing them in a database. When a fault code is detected, the pre-prepared test sequence is immediately executed without requiring manual analysis or interpretation, thus reducing diagnostic time while maintaining accuracy
Solution Approach 2:
The diagnostic system automatically analyzes fault codes, selects appropriate test sequences, executes tests, and generates diagnostic results without human intervention. The system serves itself by autonomously navigating the diagnostic process, eliminating the need for manual fault code interpretation and reducing diagnostic time
2Measurement precision
If comprehensive fault analysis is performed manually, then accurate diagnosis can be achieved, but user expertise and knowledge requirements increase
Solution Approach 1:
The system introduces an intermediary layer (automated diagnostic software and test sequence database) between the fault code and the user. This intermediary automatically interprets fault codes, selects appropriate tests, and presents results in an understandable format, eliminating the need for users to possess deep technical knowledge while maintaining diagnostic accuracy
Solution Approach 2:
The diagnostic system performs self-analysis by automatically interpreting fault codes against stored test sequences and historical data. The system generates its own diagnostic conclusions without requiring human expertise, making the diagnostic process accessible to users regardless of their technical knowledge level
3Productivity
If automated diagnostic systems are implemented, then diagnostic speed increases, but system complexity increases
Solution Approach 1:
The automated diagnostic system is segmented into modular components: fault code reception module, test sequence selection module, test execution module, and result analysis module. Each module performs a specific function independently, making the overall complex system manageable through functional decomposition while maintaining high diagnostic speed
Solution Approach 2:
Test sequences and diagnostic logic are pre-configured and stored in a database before runtime. The automated system simply retrieves and executes these pre-prepared sequences, which reduces the computational complexity during actual diagnostics while maintaining high speed. The complexity is shifted to the setup phase rather than the execution phase
Data Source
AI summary
The invention relates to a method for performing vehicle diagnostics, comprising the steps of:receiving (S14, S24) a plurality of fault codes from a vehicle (10),determining at least one first vehicle fault state, the vehicle fault state constituting a state of the vehicle (10) in which at least one of the fault codes has been triggered in the vehicle (10), on the basis of the relevant fault code and historical vehicle data from a database,determining relevant sensor measurement variables to be measured on the basis of the fault codes,requesting that at least the first vehicle fault state be induced,receiving (S16, S26) the measured sensor measurement variables from the vehicle (10),determining at least one potentially defective component.The invention also relates to a diagnostic device for carrying out the method.