Vehicle Diagnostics for ADAS-Aware Repair Recommendations
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Solution Overview
Problem
Existing vehicle diagnostic systems lack the ability to efficiently determine the presence of vehicle safety systems like ADAS and provide tailored repair recommendations, often requiring costly and time-consuming proprietary scanning programs that are not necessary for vehicles without these systems.
Innovation Solution
A vehicle diagnostic system that queries vehicle data to identify the presence of ADAS systems and other safety systems, generates customized repair recommendations based on detected ECUs, DTCs, and vehicle damage, using a database to provide specific repair instructions and avoid unnecessary scanning operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If proprietary diagnostic scanning programs are used to diagnose vehicle systems, then diagnostic accuracy is improved, but cost and time consumption increase
Solution Approach 1:
The system performs preliminary detection of ECUs and vehicle systems before initiating full diagnostic scanning. By first identifying which ECUs are present and which systems the vehicle is equipped with, the system can then selectively apply diagnostic programs only to relevant systems, avoiding unnecessary scanning of absent systems and thereby reducing time consumption while maintaining diagnostic accuracy.
Solution Approach 2:
Instead of performing complete diagnostic scanning on all possible vehicle systems, the system applies partial scanning only to systems that are actually present and relevant to the diagnostic needs. This selective approach reduces time consumption and resource usage while maintaining diagnostic accuracy for the systems that matter.
2Reliability
If proprietary diagnostic scanning programs are used for all vehicles, then comprehensive diagnosis is ensured, but cost increases
Solution Approach 1:
The system applies different diagnostic approaches based on the local characteristics of each vehicle. By detecting which ECUs are present and which systems are equipped, the system tailors the diagnostic program to match the specific vehicle configuration, ensuring comprehensive diagnosis for present systems while avoiding unnecessary costs for absent systems.
Solution Approach 2:
The system performs preliminary ECU detection and system identification before selecting diagnostic programs. This preliminary action enables the system to choose cost-effective diagnostic approaches matched to the actual vehicle equipment level, ensuring comprehensive diagnosis where needed while reducing costs for vehicles without certain systems.
3Loss of information
If diagnostic scanning is performed on all vehicle systems, then complete vehicle assessment is achieved, but unnecessary operations increase
Solution Approach 1:
The system performs preliminary detection of ECUs and vehicle systems before conducting full diagnostic scanning. This preliminary action provides the information needed to assess which systems are present and require diagnosis, enabling the system to perform complete vehicle assessment only on present systems and avoid unnecessary operations on absent systems, thereby reducing energy consumption.
Solution Approach 2:
The system uses feedback from ECU detection and system identification to dynamically adjust the diagnostic scanning process. Based on the detected ECUs and determined vehicle systems, the system feedback-controls which diagnostic programs are executed, ensuring complete assessment of present systems while eliminating unnecessary operations on absent systems and reducing energy consumption.
Data Source
AI summary
A method and system of diagnosing a vehicle with a vehicle diagnostic system to provide repair recommendations includes connecting a vehicle diagnostic computer tool to a diagnostic port of a vehicle to be in communication with an electronic system of the vehicle and reading vehicle data information of the vehicle with the vehicle diagnostic computer, such as diagnostic trouble codes (DTCs). A diagnostic evaluation program is operable to detect whether particular electrical vehicle systems are present on the vehicle, such as safety systems including Advanced Driver Assistance Systems. The system may additionally receive information regarding damage to the vehicle, such as from a collision. The system includes a repair information database and a report generator program that is operable to generate a repair recommendation report, including for example based on the vehicle data information, the particular electrical vehicle systems determined to be present, and the damage to the vehicle.