Vehicle weight distribution and target object weight distribution methods, devices and electronic equipment

By constructing a target weight distribution model and using machine learning to analyze the correlation between the vehicle weight and various systems, the problem of vehicle weight distribution relying on human experience was solved, and high-precision intelligent distribution was achieved.

CN122365723APending Publication Date: 2026-07-10CHINA FAW CO LTD
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Patent Information

Application Number
CN202610569772.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-27
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

The vehicle weight distribution relies on human experience, which makes it difficult to cope with complex configuration coupling relationships, resulting in low weight distribution accuracy and the inability to achieve high-precision vehicle weight distribution.

Method used

By acquiring feature data of the target vehicle and the reference vehicle, a target weight distribution model is constructed. Machine learning methods are then used to analyze the correlation between the overall vehicle weight and various systems, thereby achieving intelligent weight distribution.

Benefits of technology

It improves the accuracy of vehicle weight distribution and design efficiency, reduces reliance on human experience, and is better able to handle complex configuration coupling relationships.

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Abstract

This application discloses a method, apparatus, and electronic device for vehicle weight allocation and target object weight allocation. The method includes: acquiring the total vehicle weight and first vehicle characteristic data of the target vehicle; acquiring the vehicle weight data and second vehicle characteristic data of a reference vehicle corresponding to the target vehicle, and determining a target weight allocation model based on the vehicle weight data and the second vehicle characteristic data; and analyzing the total vehicle weight and first vehicle characteristic data of the target vehicle using the target weight allocation model to obtain a weight allocation result, wherein the weight allocation result is used to characterize the target weight of the target vehicle allocated to each system within the target vehicle. This application solves the technical problems in related technologies where vehicle weight allocation relies on manual experience, making it difficult to handle complex configuration coupling relationships and resulting in low weight allocation accuracy.
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