A vehicle residual life evaluation method and system based on multi-dimensional dynamic fusion

The vehicle remaining life assessment method, which uses multi-dimensional data collection and dynamic weight configuration, solves the problem of low accuracy in life prediction in existing technologies, and achieves accurate assessment of vehicle life and proactive safety defense.

CN122286218APending Publication Date: 2026-06-26XIAMEN KING LONG UNITED AUTOMOTIVE IND CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIAMEN KING LONG UNITED AUTOMOTIVE IND CO LTD
Filing Date
2026-03-31
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing vehicle life assessment methods fail to dynamically adjust the weight ratio of each indicator based on factors such as battery aging stage, operating conditions, and environmental conditions, resulting in low accuracy in life prediction.

Method used

A vehicle remaining life assessment method based on multi-dimensional dynamic fusion is adopted. By collecting multi-source data, life sub-factors in five dimensions are calculated, and weights are dynamically configured according to vehicle type, life cycle stage and real-time usage scenario. Nonlinear modeling is used to conduct accurate assessment.

Benefits of technology

It enables a comprehensive and accurate assessment of the vehicle's remaining lifespan, improving prediction accuracy and dynamically mapping it to the vehicle key management strategy to achieve proactive security defense.

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Abstract

This invention discloses a method and system for assessing the remaining lifespan of vehicles based on multi-dimensional dynamic fusion, belonging to the field of intelligent connected vehicle health assessment technology. The assessment method includes: collecting multi-source data, calculating five-dimensional lifespan sub-factors, dynamically configuring weights based on vehicle type, life cycle, and usage scenario, and weighted fusion to output a comprehensive remaining lifespan index for the vehicle. The assessment system includes a data acquisition and processing layer, a multi-dimensional factor fusion and assessment layer, and an application interface layer. The multi-dimensional factor fusion and assessment layer includes a multi-dimensional health factor extraction module, a dynamic factor weight adjustment and fusion module, and a status assessment and remaining lifespan prediction module. This invention is based on a lifespan factor quantification system encompassing five dimensions: time, health, usage, environment, and value. It adaptively adjusts weights according to vehicle type, life cycle, and usage scenario to achieve a comprehensive and accurate assessment of the vehicle's remaining lifespan, improving the prediction accuracy of the vehicle's remaining lifespan.
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Citation Information

Patent Citations

  • BIM-based intelligent train whole-vehicle service life prediction method and system thereof

    CN110376003A

  • Battery life comprehensive evaluation method based on multi-dimensional analysis

    CN116298892A