Vehicle Control System Adaptive State Determination
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Solution Overview
Problem
Existing vehicle control systems disregard secondary functions, requiring manual adjustments and limiting adaptability, as they do not effectively utilize secondary vehicle data for logic intervention and adaptive system development.
Innovation Solution
A method that acquires basic vehicle parameters from various data sources, compares them with a correlation list to provide specific vehicle states, enabling the execution of vehicle functions based on these states, allowing for secure and adaptive operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment and diagnostic tools are used for secondary vehicle functions, then operational safety and comfort can be maintained, but device complexity and ease of operation deteriorate due to requiring external laptops and manual workshop adjustments
Solution Approach 1:
The control device is enhanced to perform both primary vehicle control functions and secondary analysis functions universally. By integrating the comparison module with the existing control device, the system can handle multiple functions including real-time parameter monitoring, state determination, and adaptive function execution without requiring separate external diagnostic tools, thus reducing device complexity while maintaining safety
Solution Approach 2:
The vehicle control system performs self-diagnosis and self-adjustment through the integrated comparison module that automatically compares acquired parameters with stored comparison lists and executes adaptive functions without external intervention. This self-service capability eliminates the need for manual workshop adjustments and external laptops, reducing operational complexity while maintaining reliability
2Reliability
If manual adjustment is required for secondary vehicle functions, then system reliability is maintained through controlled changes, but ease of operation deteriorates due to requiring manual workshop intervention
Solution Approach 1:
Comparison lists containing parameter correlations and state definitions are pre-stored in the control device during system setup or manufacturing. This preliminary action enables the system to automatically determine vehicle states and execute adaptive functions without requiring manual workshop intervention during operation, significantly improving ease of operation while maintaining reliability through pre-validated comparison criteria
Solution Approach 2:
The system continuously acquires vehicle parameters, compares them with stored comparison lists, determines current vehicle states, and executes adaptive functions based on this feedback loop. This automated feedback mechanism replaces manual adjustment processes, making the system easier to operate while maintaining reliability through continuous monitoring and adaptive response
3Productivity
If primary vehicle functions are controlled with existing systems, then basic vehicle operation is ensured, but adaptability deteriorates due to inability to effectively utilize secondary vehicle data
Solution Approach 1:
The control device is enhanced to perform both primary vehicle control functions and secondary analysis functions universally. By integrating the comparison module with the existing control device, the system can handle multiple functions including real-time parameter monitoring, state determination, and adaptive function execution without requiring separate external diagnostic tools, thus reducing device complexity while maintaining safety
Solution Approach 2:
The vehicle control system performs self-diagnosis and self-adjustment through the integrated comparison module that automatically compares acquired parameters with stored comparison lists and executes adaptive functions without external intervention. This self-service capability eliminates the need for manual workshop adjustments and external laptops, reducing operational complexity while maintaining reliability
4Device complexity
If adaptive systems are developed with limited control functionalities, then development complexity is reduced, but adaptability deteriorates due to limited secondary function utilization
Solution Approach 1:
The adaptive system is segmented into modular components: parameter acquisition modules that collect data from various sources, a comparison module that compares parameters with stored lists, state determination logic that identifies vehicle states, and adaptive function execution modules that implement responses. This segmentation allows independent development and testing of each module, reducing overall development complexity while enabling comprehensive adaptability through the integration of multiple specialized functions
Data Source
AI summary
A method for providing at least one specific vehicle state of a vehicle. The method includes acquiring basic parameters of the vehicle from at least one data source; comparing the acquired basic parameters with a comparison list; and providing a specific vehicle state for the acquired basic parameters based on the comparison.


