Method for generating corrected measurement value when determining concentration and mass flow rate of exhaust gas component in exhaust gas flow

By combining a Kalman filter with an exhaust gas model and using weighting factors to correct the error of sensor measurements, the measurement error problem of the sensor under extremely cold conditions and cross sensitivity was solved, and high-precision measurement of exhaust gas component concentration and mass flow rate was achieved, meeting the EU7 standard.

CN121532560APending Publication Date: 2026-02-13AVL LIST GMBH
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Patent Information

Application Number
CN202480043011.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2023-07-25
Filing Date
2024-07-24
Publication Date
2026-02-13

AI Technical Summary

Technical Problem

Existing nitrogen oxide sensors suffer from significant measurement errors under extremely cold conditions and with cross-sensitivity, and the impact of aging on the data is still unclear, resulting in insufficient measurement accuracy of exhaust gas component concentration and mass flow rate.

Method used

A Kalman filter combined with an exhaust gas model is used to determine the corrected measured values ​​of exhaust gas components by weighting factors calculated from sensor measurements and model calculations. Factors such as sensor temperature, aging, and cross sensitivity are taken into account to correct errors.

Benefits of technology

It improves the measurement accuracy of exhaust gas component concentration and mass flow rate, ensuring accuracy in on-board diagnostics and monitoring, meeting the requirements of EU7 standards, and reducing unnecessary information caused by sensor errors.

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Abstract

The invention relates to a method for producing a corrected measurement value when determining the concentration of an exhaust component in an exhaust gas stream, which method can be used online on-board OBD and / or OBM, even if existing sensors provide measurement values with high inaccuracies in a certain range. According to the invention, the concentration (I) of the emission component X in the exhaust gas stream is first measured by means of a sensor (14) and, at the same time, the concentration (II) of the emission component X is determined by means of an exhaust gas model (24) which is stored in a processing unit (20), and reading or calculating an expected concentration of the emission component X in the exhaust gas stream by means of a physical model or a map-based algorithm from the environmental data by means of the model. An estimated concentration (III) of the emission component X is then derived by using a Kalman filter on the basis of a concentration measurement by the sensor (14) and a concentration determination by the exhaust gas model (24) according to a formula, where K1 is a weighting factor of the Kalman filter.
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