Vehicle Accessory Compatibility Check via Stored Identification Data
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Solution Overview
Problem
The increasing complexity of motor vehicles, particularly when coupling accessory devices like mobile phones, often leads to compatibility issues and subsequent malfunctions, resulting in customer complaints and extensive troubleshooting.
Innovation Solution
Storing identification data of connected devices, such as mobile phones, in the vehicle's memory unit allows for easy compatibility checks, facilitating troubleshooting and clarifying responsibility for repairs or warranties by querying and comparing device characteristics with a reference table.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If accessory devices are coupled to motor vehicle systems, then functionality and versatility are improved, but compatibility issues and malfunctions increase
Solution Approach 1:
The system performs preliminary actions by storing identification data of accessory devices at the time of coupling and conducting compatibility checks before malfunctions occur. This proactive approach allows potential compatibility issues to be identified and addressed in advance, preventing reliability problems while maintaining versatility.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring and comparing stored identification data against compatibility criteria. When compatibility issues are detected, the system provides feedback through diagnostic trouble codes and notifications to both the vehicle system and the accessory device, enabling corrective actions to maintain reliability.
2Loss of time
If compatibility checks are performed, then troubleshooting time is reduced, but data storage and processing requirements increase
Solution Approach 1:
The system extracts only the essential identification data needed for compatibility checks from accessory devices, storing only this critical information rather than complete device datasets. This selective extraction approach enables quick troubleshooting while minimizing data storage requirements and system complexity.
Solution Approach 2:
The system creates simplified copies of accessory device identification data in a standardized format that facilitates rapid compatibility verification. These streamlined data copies enable fast troubleshooting operations without requiring storage of the complete original device information, balancing speed with storage efficiency.
3Difficulty of detecting and measuring
If identification data is stored permanently, then fault analysis is simplified, but privacy and security concerns increase
Solution Approach 1:
The system applies local quality by storing only specific, necessary identification characteristics of accessory devices rather than complete device profiles or personal information. This targeted approach stores precisely the data needed for fault analysis while excluding unnecessary information that would raise privacy concerns, achieving security through selective data retention.
Solution Approach 2:
The system transforms accessory device identification data into standardized parameters suitable for compatibility verification and fault analysis. By converting raw device information into controlled parameter sets with defined purposes, the system enables effective fault detection while maintaining data in a format that limits privacy risks through parameterization and standardization.
Data Source
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AI summary
The method involves connecting an accessory device e.g. mobile phone to a hands-free device in the motor vehicle. The characteristics data that is assigned to the mobile phone is stored in a memory unit provided in the motor vehicle. The automatic transmission (AT) global system for mobile communication (GSM) commands (4a-4c) is sent to the mobile phone for reading the characteristics data. An independent claim is also included for error detection assistance apparatus.