CN110702849A - Self-learning correction method for vehicle-mounted nitrogen-oxygen sensor detection value - Google Patents
Self-learning correction method for vehicle-mounted nitrogen-oxygen sensor detection value Download PDFInfo
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- CN110702849A CN110702849A CN201810744828.6A CN201810744828A CN110702849A CN 110702849 A CN110702849 A CN 110702849A CN 201810744828 A CN201810744828 A CN 201810744828A CN 110702849 A CN110702849 A CN 110702849A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0006—Calibrating gas analysers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0006—Calibrating gas analysers
- G01N33/0008—Details concerning storage of calibration data, e.g. in EEPROM
Abstract
The invention discloses a self-learning correction method for a vehicle-mounted nitrogen-oxygen sensor detection value, which comprises the following steps of S1: reading stored data, namely reading a nitrogen oxygen correction value calculated in the last driving cycle of the engine and a nitrogen oxygen detection value in a sliding state with a gear; s2: and (3) judging the state of the sensor: when the nitrogen oxygen sensor is judged to have no fault and meet the working condition, the next step is carried out; s3: and (3) judging the state of the engine: when the vehicle is in a sliding state with a gear and the duration time exceeds the preset time, entering the next step; s4: and (3) data comparison: detecting the current nitrogen and oxygen concentration, subtracting the detected value read in S1, and recalculating the correction value according to the difference value; s5: self-learning updating: the nitrogen oxygen concentration value detected in the sliding state with the gear and the calculated correction value are updated and stored in the EEPROM to be used as the reference value of the next self-learning.
Description
Technical Field
The invention belongs to the technical field of automobile exhaust detection, and particularly relates to a self-learning correction method for a detection value of a vehicle-mounted nitrogen-oxygen sensor.
Background
In recent two-thirty years, with the rapid increase of automobile keeping quantity in the world, the brought automobile emission pollution is becoming serious. With the upgrading of emission regulations, the demand of nitrogen oxide sensors is increasing. From the current research situation at home and abroad, the probe part is still imperfect in domestic technology and has a large gap with foreign countries, and the probe part is mainly embodied in the aspects of raw material production, production process, signal stability, signal precision, durability and the like.
The domestic probe ubiquitous ages seriously, the relatively poor problem of durability, and this patent utilizes the intellectuality of controller to this type of problem, in the sensor use, constantly learns by oneself the corrected value of nitrogen oxygen detection concentration, increases the compensation dynamics of detected value step by step to the life of extension nitrogen oxygen sensor.
In the application number: CN201720050316.0, having an application date of 20170117, with the name: in a patent of an apparatus for detecting emission of nitrogen oxides in automobile exhaust, disclosed is an apparatus for detecting emission of nitrogen oxides in automobile exhaust, comprising: a vehicle speed sensor for detecting a current running speed of the vehicle; the exhaust emission sensor is used for detecting the mass flow of the automobile exhaust; the nitrogen oxide sensor is used for detecting the concentration of nitrogen oxide in automobile exhaust; and the controller is used for respectively receiving signals output by the vehicle speed sensor, the tail gas displacement sensor and the nitrogen oxide sensor and calculating the nitrogen oxide discharge amount of the automobile tail gas according to the detection values of the vehicle speed sensor, the tail gas displacement sensor and the nitrogen oxide sensor. This utility model discloses a nitrogen oxide sensor obtains nitrogen oxide's in the automobile exhaust concentration, can appear above-mentioned problem in the use of sensor in this patent.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a self-learning correction method for the detection value of a vehicle-mounted nitrogen-oxygen sensor.
The purpose of the invention can be realized by the following technical scheme:
a self-learning correction method for a vehicle-mounted nitrogen-oxygen sensor detection value comprises the following steps:
s1, reading stored data, namely reading a nitrogen and oxygen correction value calculated in the last driving cycle of the engine and a nitrogen and oxygen detection value in a sliding state with a gear as a calculation reference value of the driving cycle;
s2: and (3) judging the state of the sensor: judging whether the nitrogen oxygen sensor has faults or not and meets working conditions or not, if the sensor has no faults and meets the working conditions, allowing self-learning to be carried out, entering the next step, and otherwise, not carrying out self-learning;
s3: and (3) judging the state of the engine: judging whether the engine is in a sliding state with a gear and continues for more than preset time, entering the next step when the engine is in the sliding state with the gear and the continues for more than the preset time, and otherwise returning to the step S2;
s4: and (3) data comparison: detecting the current nitrogen oxygen concentration value, subtracting the nitrogen oxygen detection value read in the step S1 under the sliding state with the gear to obtain a difference value, and taking the sum value obtained by adding the nitrogen oxygen correction value calculated in the previous driving cycle and the difference value obtained in the calculation as a new correction value;
s5: self-learning updating: and updating and storing the detected nitrogen oxygen concentration value in the sliding state with the gear and the calculated correction value into an EEPROM as a reference value for the next self-learning.
Preferably, before the determination in step S1, a timer is started to initialize.
Preferably, in the engine state judgment of step S3, the timer starts counting time when the engine is in the coasting state with gear.
Preferably, when the engine state is determined in step S3, the engine is in the coasting state with gear for more than a preset time, and the timer ends.
The invention has the beneficial effects that:
according to the self-learning correction method, the self-learning function of the controller is added, and the correction value of the sensor is continuously updated in the use process of the sensor, so that the use durability and reliability of the sensor are improved, and the problem that the service life of the domestic nitrogen-oxygen sensor probe is short is solved.
Drawings
FIG. 1 is a schematic flow chart of a self-learning correction method for a vehicle-mounted NOx sensor detection value.
Detailed Description
The technical scheme of the invention is further described by combining the attached drawings:
the principle of the method is as follows: by utilizing the non-fuel injection characteristic during engine coasting with gear (hereinafter and shown as overrun), the gas flowing through the NOx sensor (hereinafter, replaced by the NOx sensor) is similar to the atmosphere after the engine is maintained in the overrun state for a certain period of time. At the moment, the nitrogen-oxygen concentration value is detected, compared with the previous stored value of the controller, the deviation value is updated to the corrected value, and the corrected value is stored in the controller EERPOM again. Thereby realizing the function of continuously self-learning and updating the correction value.
A self-learning correction method for a vehicle-mounted nitrogen-oxygen sensor detection value comprises the following steps:
s1, reading stored data, namely reading a nitrogen and oxygen correction value calculated in the last driving cycle of the engine and a nitrogen and oxygen detection value in a sliding state with a gear as a calculation reference value of the driving cycle;
s2: and (3) judging the state of the sensor: judging whether the nitrogen oxygen sensor has faults or not and meets working conditions or not, if the sensor has no faults and meets the working conditions, allowing self-learning to be carried out, entering the next step, and otherwise, not carrying out self-learning;
s3: and (3) judging the state of the engine: judging whether the engine is in a sliding state with a gear and continues for more than preset time, entering the next step when the engine is in the sliding state with the gear and the continues for more than the preset time, and otherwise returning to the step S2;
s4: and (3) data comparison: detecting the current nitrogen oxygen concentration value, subtracting the nitrogen oxygen detection value read in the step S1 under the sliding state with the gear to obtain a difference value, and taking the sum value obtained by adding the nitrogen oxygen correction value calculated in the previous driving cycle and the difference value obtained in the calculation as a new correction value;
s5: self-learning updating: and updating and storing the detected nitrogen oxygen concentration value in the sliding state with the gear and the calculated correction value into an EEPROM as a reference value for the next self-learning.
The timer starts initialization before the judgment of the step S1, starts timing when the engine is in the coasting state with gear at the judgment of the engine state of the step S3, and starts detecting the current NOx concentration value when the timing of the timer is over the preset time when the engine is in the coasting state with gear.
Finally, it should be noted that:
the method may be carried out and its application may be carried out by those skilled in the art with reference to the disclosure herein, and it is expressly intended that all such alternatives and modifications as would be apparent to those skilled in the art are deemed to be included within the invention. While the method and application of the present invention have been described in terms of preferred embodiments, it will be apparent to those of ordinary skill in the art that variations and modifications in the method and application of the invention as described herein may be made and equivalents employed without departing from the spirit and scope of the invention.
Although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: modifications and equivalents may be made thereto without departing from the spirit and scope of the invention, and the appended claims are intended to cover such modifications and equivalents as fall within the true spirit and scope of the invention.
Claims (4)
1. A self-learning correction method for a vehicle-mounted nitrogen-oxygen sensor detection value is characterized by comprising the following steps: the method comprises the following steps:
s1, reading stored data, namely reading a nitrogen and oxygen correction value calculated in the last driving cycle of the engine and a nitrogen and oxygen detection value in a sliding state with a gear as a calculation reference value of the driving cycle;
s2: and (3) judging the state of the sensor: judging whether the nitrogen oxygen sensor has faults or not and meets working conditions or not, if the sensor has no faults and meets the working conditions, allowing self-learning to be carried out, entering the next step, and otherwise, not carrying out self-learning;
s3: and (3) judging the state of the engine: judging whether the engine is in a sliding state with a gear and continues for more than preset time, entering the next step when the engine is in the sliding state with the gear and the continues for more than the preset time, and otherwise returning to the step S2;
s4: and (3) data comparison: detecting the current nitrogen oxygen concentration value, subtracting the nitrogen oxygen detection value read in the step S1 under the sliding state with the gear to obtain a difference value, and taking the sum value obtained by adding the nitrogen oxygen correction value calculated in the previous driving cycle and the difference value obtained in the calculation as a new correction value;
s5: self-learning updating: and updating and storing the detected nitrogen oxygen concentration value in the sliding state with the gear and the calculated correction value into an EEPROM as a reference value for the next self-learning.
2. The self-learning correction method of claim 1, wherein: before the determination of step S1, a timer is initialized.
3. The self-learning correction method of claim 1, wherein: in the engine state judgment of step S3, the timer starts counting time when the engine is in the coasting state with gear.
4. The self-learning correction method of claim 1, wherein: and when the engine state is judged in the step S3, the engine is in the sliding state with the gear for more than the preset time, and the timer finishes timing.
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| CN201810744828.6A CN110702849A (en) | 2018-07-09 | 2018-07-09 | Self-learning correction method for vehicle-mounted nitrogen-oxygen sensor detection value |
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| CN201810744828.6A CN110702849A (en) | 2018-07-09 | 2018-07-09 | Self-learning correction method for vehicle-mounted nitrogen-oxygen sensor detection value |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111810281A (en) * | 2020-07-17 | 2020-10-23 | 广西玉柴机器股份有限公司 | ECU strategy for adaptively correcting signal control of nitrogen-oxygen sensor |
| CN113237931A (en) * | 2021-05-14 | 2021-08-10 | 高鑫环保科技(苏州)有限公司 | Self-learning measurement method of nitrogen-oxygen sensor |
| CN113804825A (en) * | 2020-06-12 | 2021-12-17 | 卓品智能科技无锡有限公司 | Multichannel parallel automatic calibration method and system for vehicle-mounted nitrogen-oxygen sensor |
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| CN113237931B (en) * | 2021-05-14 | 2023-10-10 | 高鑫环保科技(苏州)有限公司 | Self-learning measurement method of nitrogen-oxygen sensor |
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