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Self-learning method for dpf differential pressure sensor

A self-learning method and sensor technology, applied in the field of engines, can solve the problems of burning DPF, aging water vapor, pressure difference carbon load deviation, etc., and achieve the effects of improving measurement accuracy, improving safety, and reducing measurement deviation.

Active Publication Date: 2020-04-24
WEICHAI POWER CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the DPF differential pressure sensor of Euro VI products is installed in the exhaust gas environment. On the one hand, long-term high-temperature exhaust gas will affect the output of the sensor characteristics. On the other hand, aging or water will appear after a long period of use. The entry of steam, etc. will also cause the zero point of the DPF differential pressure sensor to drift, affecting the measurement deviation of the DPF differential pressure sensor
When the differential pressure measurement deviates, it will lead to a deviation in the differential pressure carbon load calculated by the DPF
If the measured pressure difference is too large, the calculation of carbon load will be too large, which will lead to frequent regeneration of DPF, which may increase the fuel consumption of the engine; if the measured pressure difference is too small, the calculation of carbon load will be too small, The carbon load inside the DPF is too large, and there may be a risk of burning the DPF when the DPF is regenerated
At the same time, due to the inaccurate pressure difference measurement, it will bring great difficulty to the relevant diagnosis of DPF, which will lead to false or no error report of DPF diagnosis, which does not meet the requirements of regulations and affects the safety of driving.

Method used

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Embodiment Construction

[0019] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0020] figure 1 It is a flow chart of the self-learning method for the DPF differential pressure sensor described in the present invention. figure 2 Control logic diagram for self-learning of DPF differential pressure sensor. Such as figure 1 As shown, the self-learning method for the DPF differential pressure sensor described in the present invention is used to correct the measurement characteristic curve of the differential pr...

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Abstract

The invention belongs to the technical field of engines and particularly relates to a self-learning method for a DPF differential pressure sensor. The self-learning method for the DPF differential pressure sensor comprises the following steps of detecting the state of an engine and judging whether a vehicle stops or not; continuously and repeatedly acquiring the measured values of the differentialpressure sensor if the vehicle is under a stop condition; averaging the measured values acquired repeatedly; conducting pressure limiting processing on the average value to guarantee that the averagevalue is from the differential pressure upper-limit value to the differential pressure lower-limit value; storing the average value into an EEPROM of the vehicle; and correcting the measured value ofthe differential pressure sensor according to the average value in the traveling process of the vehicle. Through the self-learning method for the DPF differential pressure sensor, a measuring characteristic curve of the differential pressure sensor can be effectively corrected, the measuring precision of the differential pressure sensor is improved, and the traveling safety is improved.

Description

technical field [0001] The invention belongs to the technical field of engines, and in particular relates to a self-learning method for a DPF differential pressure sensor. Background technique [0002] At present, the DPF differential pressure sensor of the Euro VI product is installed in the exhaust gas environment. On the one hand, long-term high-temperature exhaust gas will affect the output of the sensor characteristics. On the other hand, aging or water will appear after a long period of use. The entry of steam, etc. will also cause the zero point of the DPF differential pressure sensor to drift, which will affect the measurement deviation of the DPF differential pressure sensor. When the differential pressure measurement deviates, it will lead to a deviation in the differential pressure carbon load calculated by the DPF. If the measured pressure difference is too large, the calculation of carbon load will be too large, which will lead to frequent regeneration of DPF, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F01N11/00F01N9/00
CPCF01N9/00F01N11/00F01N2560/08Y02T10/40
Inventor 褚国良李达冯海浩王新政栾军山
Owner WEICHAI POWER CO LTD
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