颗粒捕集器再生的识别方法、设备和存储介质

By identifying the regeneration temperature lower limit and threshold in diesel vehicle exhaust temperature data, the problem of remote monitoring systems being unable to identify particulate filter regeneration was solved, enabling accurate assessment and fault detection of diesel vehicle emissions.

CN117627765BActive Publication Date: 2026-07-17CATARC AUTOMOTIVE TEST CENT TIANJIN CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CATARC AUTOMOTIVE TEST CENT TIANJIN CO LTD
Filing Date
2024-01-16
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing remote monitoring systems cannot accurately identify the regeneration status of diesel particulate filters, leading to biases in the assessment of vehicle emissions pollutants.

Method used

By acquiring exhaust temperature data of the vehicle within a preset time period, deep learning methods or box plot statistics are used to identify the lower limit of the regeneration temperature, and the lower limit of the regeneration temperature is adjusted based on the maximum exhaust temperature to set the temperature threshold for regeneration conditions and identify the regeneration conditions.

Benefits of technology

It enables accurate identification of the regeneration condition of diesel vehicle particulate filters, eliminates the bias of the regeneration condition on the assessment results of gaseous pollutants, improves the accuracy of the assessment, and can detect whether the particulate filter has malfunctioned.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明涉及数据处理技术领域,公开了一种颗粒捕集器再生的识别方法、设备和存储介质。该方法通过获取车辆在预设时间段内的排气温度数据,从中得到最大排气温度,并对排气温度数据进行再生工况识别,得到再生温度下限,进而基于最大排气温度对再生温度下限进行调整,得到再生工况温度阈值,从排气温度数据中的首个时间点开始,于排气温度数据中提取窗口数据,如果窗口数据中的平均排气温度不小于再生工况温度阈值,则可以确定窗口数据的工况识别结果为再生工况,实现了对车辆的颗粒捕集器处于再生工况的准确识别,可以消除再生工况对气体污染物的评估结果造成的偏差,提高了对气体污染物评估结果的精度。
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