Automatic Automotive Bus Topology Mapping for Complex ECU Relationships
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Solution Overview
Problem
Existing automobile bus topology map construction relies heavily on manual mapping, which is difficult and requires high technical expertise, often failing to accurately depict communication states among electronic components due to power, communication, or sensor failures.
Innovation Solution
An automatic construction method and apparatus that acquires bus and electronic control unit data, performs bus layout, and constructs a topology map framework, utilizing critical bus extraction, pre-layout, and two-stage layout to generate an accurate and personalized bus topology map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual mapping is used to construct automobile bus topology map, then the map can be created with existing tools, but the process is difficult and requires high technical expertise
Solution Approach 1:
The patent replaces the manual mechanical mapping process with an automated computer-based system. The topology map construction is transformed from a manual graphical mapping task into an automated data processing task that uses vehicle data to automatically generate the topology map, eliminating the need for manual technical expertise in map construction.
Solution Approach 2:
The system enables self-service topology map construction by automatically processing vehicle data and generating the topology map without requiring manual intervention. The computer automatically identifies vehicle components, their connections, and generates the complete topology map structure based on the processed data.
2Measurement precision
If manual mapping is used to construct automobile bus topology map, then the map can be created, but it fails to accurately depict communication states among electronic components
Solution Approach 1:
The patent replaces manual visual mapping with automated data-driven mapping. The system processes actual vehicle communication data to accurately depict the real communication states among electronic components, ensuring precision by basing the topology map on actual operational data rather than manual estimation.
Solution Approach 2:
The system uses feedback from vehicle communication data to automatically adjust and refine the topology map construction. By continuously processing communication state data from the vehicle, the system can accurately reflect the actual communication relationships and states among electronic components in the generated topology map.
3Productivity
If automated construction method is used, then the topology map can be generated automatically, but the system complexity increases
Solution Approach 1:
The patent segments the automated topology map construction process into distinct functional modules: data acquisition module, data processing module, and map generation module. Each module handles a specific aspect of the construction process, making the overall complex system manageable through functional decomposition and independent development of each segment.
Solution Approach 2:
The system employs universal data processing algorithms that can handle multiple types of vehicle data and generate topology maps for different vehicle types. The automated construction method is designed to be universally applicable across various vehicle platforms, reducing the need for vehicle-specific customization while maintaining high construction efficiency.
Data Source
AI summary
Embodiments of the present invention relate to the technical field of vehicle detection, and disclose an automatic construction method and apparatus for an automobile bus topology map. The method includes; acquiring automobile bus data and electronic control unit data; performing bus layout according to the automobile bus data and the electronic control unit data, and constructing an automobile bus topology map framework; and performing layout on an electronic control unit according to the automobile bus topology map framework to generate an automobile bus topology map. By means of the method, personalized bus layout can be supported, a complex bus relationship can be supported, more vehicle model coverage can be supported while the accuracy of the topology map is maintained, and the development difficulty of diagnostic tools can be reduced.


