Vehicle Calibration Database Matching for Digital Key Positioning

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Solution Overview

Problem

Digital keys in automobiles face instability and poor positioning due to variations in hardware chips, antennas, and power levels across different mobile phone brands and models, and existing cloud service platforms lack interoperability, leading to inefficient calibration data management.

Innovation Solution

A method for managing a vehicle calibration database that generates a calibration database with preconfigured label sets, calculates relevances between current user account labels and default labels, and selects appropriate calibration data for distribution based on these relevances, ensuring efficient and accurate digital key positioning.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a vehicle end responds to mobile phone requests at a fixed receiving power or adapts to hundreds of mainstream smartphones using one set of calibration parameters, then the system complexity is reduced, but the positioning accuracy and stability deteriorate due to great randomness

Engineering Contradiction:
Improvecalibration parameter management complexityVSAvoidpositioning accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent applies parameter changes by dynamically selecting calibration parameters based on the specific mobile device characteristics (device type, model, OS version, antenna performance) rather than using fixed receiving power or universal calibration parameters. The system calculates relevance scores between device attributes and calibration data to select the most appropriate parameters, thereby improving positioning accuracy while maintaining manageable system complexity through automated selection.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent segments the calibration database into multiple sets of calibration data, each associated with specific device characteristics (device type labels, model labels, OS version labels, antenna performance labels). This segmentation allows the system to match specific device profiles with corresponding calibration data sets, resolving the contradiction by providing device-specific calibration without requiring manual configuration for each device.

Inventive Principle:
Principle #1Segmentation

2Productivity

If cloud service platforms for head units and mobile phone applications are not interconnected or interoperable, then each platform can be independently managed, but the calibration data distribution efficiency and user experience deteriorate

Engineering Contradiction:
Improvecalibration data distribution efficiencyVSAvoidplatform interconnection complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements universality by creating a calibration database system that can serve multiple cloud service platforms (head unit platforms, mobile application platforms) through a common interface and standardized data structure. The system calculates device relevance and distributes appropriate calibration data across different platforms, enabling interoperability without requiring each platform to be independently managed, thus improving distribution efficiency while managing complexity through standardization.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Quantity of substance

If one set of calibration parameters is used for all mobile phone brands and models, then the calibration database size is reduced, but the positioning stability deteriorates due to hardware variations in chips, antennas, and powers

Engineering Contradiction:
Improvecalibration database sizeVSAvoidpositioning stability
Core Design Contradiction:
Quantity of substanceVSStability of the object's composition

Solution Approach 1:

The patent applies parameter changes by organizing calibration data into multiple sets with different parameter configurations, each optimized for specific device characteristics. The system dynamically changes the selected calibration parameters based on device attributes (chip type, antenna performance, power levels) rather than using a single universal parameter set, thereby improving positioning stability while keeping the database size manageable through structured organization.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent applies local quality by providing different calibration parameters tailored to specific device segments (different device types, models, OS versions, antenna performances) rather than using uniform parameters for all devices. Each local segment (device category) receives optimized calibration data, improving positioning stability while the overall database remains organized and manageable through this segmented approach.

Inventive Principle:
Principle #3Local quality

Data Source

PatentEP4243456B1Method and apparatus for managing vehicle calibration database
Publication Date: 2025.02.19 NIO TECH ANHUI CO LTD
  • EP4243456B1 patent drawingFigure 1~3
  • EP4243456B1 patent drawingFigure 4
  • EP4243456B1 patent drawing

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.