Vehicle Calibration Database for Digital Key Positioning Accuracy
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Solution Overview
Problem
Digital keys using Bluetooth technology for vehicles face instability and poor positioning due to variations in hardware chips, antennas, and powers across different mobile phone brands and models, and existing cloud services lack interoperability between head units and mobile applications, leading to poor performance and inefficient calibration data distribution.
Innovation Solution
A method and apparatus for managing a vehicle calibration database that generates and updates calibration data based on relevance calculations between user device labels and default labels, selecting optimal data for distribution, and records real-time positioning parameters to adaptively adjust the database, ensuring accurate digital key positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If one set of calibration parameters is used for all mobile phone brands and models, then device complexity is reduced, but positioning accuracy deteriorates due to hardware variations
Solution Approach 1:
The patent segments calibration parameters by device categories (smartphones, smartwatches, tablets) and further by specific device models. Each device type has its own calibration parameter set, allowing tailored optimization for different hardware characteristics while maintaining manageable complexity through systematic classification.
Solution Approach 2:
The system dynamically adjusts calibration parameters based on the specific device being used. By changing parameters according to device type, model, and even individual device characteristics, the system optimizes positioning accuracy for each device without requiring a completely separate system for each device variant.
2Device complexity
If fixed receiving power is used for vehicle responses, then system complexity is reduced, but positioning reliability deteriorates due to device power variations
Solution Approach 1:
The system transitions from fixed receiving power to dynamic power adaptation. The vehicle's response power is adjusted based on the specific digital key device being used, allowing the system to maintain reliable communication and positioning across devices with varying power characteristics while managing complexity through automated adaptation.
Solution Approach 2:
The system implements feedback mechanisms where positioning results and signal strength information are used to adjust receiving power settings. This closed-loop approach ensures reliable positioning by continuously optimizing power parameters based on actual device performance and environmental conditions.
3Device complexity
If cloud service platforms are not interconnected, then system complexity is reduced for individual providers, but adaptability deteriorates due to inability to optimize across devices
Solution Approach 1:
The patent establishes a universal calibration database that serves multiple cloud service platforms and device types. This shared infrastructure enables cross-platform optimization while reducing overall system complexity through standardization. The database can be accessed and utilized by different providers, allowing them to benefit from collective optimization without maintaining separate calibration systems.
Solution Approach 2:
The calibration database acts as an intermediary layer between cloud service platforms and diverse digital key devices. It provides a standardized interface and centralized storage for calibration parameters, enabling interoperability and cross-device optimization without requiring direct integration between multiple cloud platforms.
4Measurement precision
If comprehensive calibration data is stored for all devices, then positioning accuracy is improved, but storage requirements increase
Solution Approach 1:
Calibration data is segmented by device category, model, and type, allowing the system to store only relevant calibration sets for each device class. This segmentation reduces overall storage requirements by eliminating redundant data while maintaining the precision needed for accurate positioning of each device type.
Solution Approach 2:
The system implements local quality by storing detailed, device-specific calibration data only where needed (in the cloud database for accessed devices) rather than maintaining comprehensive local storage on all devices. This approach optimizes storage efficiency by keeping detailed calibration information centralized while allowing quick access to relevant subsets.
Data Source
AI summary
The disclosure relates to a method and an apparatus for managing a vehicle calibration database, and a storage medium. The portable device includes a communication unit and a processing unit. The method includes: A. generating a calibration database including one or more sets of calibration data and a default label set associated with each set of calibration data; B. in response to a calibration request, obtaining a current label set associated with a user account from a vehicle end and a digital key end; C. separately calculating relevances between the current label set and the one or more default label sets; and D. selecting a set of calibration data from the calibration database based at least on the relevances as calibration data to be distributed. The solution for managing a vehicle calibration database proposed in the disclosure can reduce the randomness of calibration data distribution, improve the positioning accuracy of the digital key and user experience, and adaptively adjust and update the existing calibration database at the same time.