Method and device for measuring cold start time in vehicle applications

By acquiring log information and video of the in-vehicle application, and combining system monitoring with visual frame analysis, the problems of automation and accuracy in evaluating the startup performance of in-vehicle applications were solved, achieving high-precision measurement of cold start time and generation of visual reports.

CN122132095APending Publication Date: 2026-06-02CHERY AUTOMOBILE CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHERY AUTOMOBILE CO LTD
Filing Date
2026-02-25
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing methods for evaluating the startup performance of in-vehicle applications rely on general mobile testing frameworks, lack dedicated and automated unified measurement techniques, and are highly dependent on manual intervention with difficulty in ensuring accuracy.

Method used

By acquiring log information and video of the cold start process of in-vehicle applications, and combining a dual-channel measurement mechanism of system monitoring and visual frame analysis, the system identifies the logical start and end times, calculates the cold start time, and generates a visual report.

Benefits of technology

It achieves high-precision, automated, and reproducible measurement of the cold start time of in-vehicle applications, accurately determines the moment when the interface is fully rendered, without modifying the application code, and is compatible with multiple in-vehicle operating systems.

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Abstract

This application relates to the field of performance testing technology, and in particular to a method and apparatus for measuring the cold start time of an in-vehicle application. The method includes: acquiring log information of the cold start process of the target in-vehicle application to identify the logical start and end times of the cold start process; recording the original video of the display screen corresponding to the cold start process; determining the rendering density and content change rate of the original video based on continuous frame data to identify the start and end times of the cold start process; calculating the time deviation between the logical end time and the end time, and calculating the cold start time based on the start and end times when the absolute value of the time deviation meets the target deviation range. This solves the problems in related technologies where in-vehicle application startup performance evaluation methods rely heavily on general mobile testing frameworks, lack dedicated and automated unified measurement techniques, and are highly dependent on manual methods while also struggling to ensure accuracy.
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