Vehicle calibration parameter generation method and device, terminal equipment and storage medium

By comparing the vehicle characteristic parameters and ESP response times of new and historical models, selecting recommended models and adjusting their calibration parameters, the problem of low calibration efficiency of vehicle calibration parameters in the prior art is solved, and fast and efficient calibration parameter generation is achieved.

CN119714917APending Publication Date: 2025-03-28HAOMO TECH CO LTD
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Patent Information

Application Number
CN202311265863.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-09-27
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

In the prior art, the calibration efficiency of vehicle calibration parameters is low, and a lot of manpower and time is required for repeated debugging, resulting in high cost and low efficiency.

Method used

By obtaining the vehicle characteristic parameters and ESP response time of the new model, comparing it with the parameters of the historical model, selecting the historical model with the smallest difference as the recommended model, using its known calibration parameters as the initial calibration parameters, and adjusting these parameters through the response time difference value to generate the target calibration parameters of the new model.

Benefits of technology

It greatly reduces the generation time and manual commissioning cost of calibration parameters of new models, improves vehicle calibration efficiency, and can quickly obtain target calibration parameters that are consistent with the condition of the new models.

✦ Generated by Eureka AI based on patent content.
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Abstract

The invention belongs to the technical field of automobiles, and provides a vehicle calibration parameter generation method and device, terminal equipment and a storage medium, and the method comprises the steps: comparing the known vehicle characteristic parameters of a new vehicle model with the known vehicle characteristic parameters of all historical vehicle models in a database, selecting a historical vehicle model with the minimum vehicle characteristic parameter difference with the new vehicle model from all historical vehicle models as a recommended vehicle model; obtaining a known calibration parameter of the recommended vehicle model and second ESP response time, and taking the known calibration parameter of the recommended vehicle model as a true value, namely an initial calibration parameter of the new vehicle model; the response time difference value between the second ESP response time and the first ESP response time is calculated, the initial calibration parameters are automatically adjusted through the response time difference value, the target calibration parameters conforming to the vehicle condition of the new vehicle type can be obtained, the cost of manually debugging the calibration parameters is saved, and the vehicle calibration efficiency is improved.
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