CN113281059A - SCR fault assessment method, SCR device and vehicle - Google Patents
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Abstract
The invention relates to the technical field of vehicles, and particularly discloses an SCR fault evaluation method, an SCR device and a vehicle1～PWAnd sequentially at P1～PWCarrying out efficiency test on the SCR to be tested; when the efficiency of the SCR to be tested is tested, acquiring the actual efficiency of the SCR to be tested in the current test area, calculating the actual efficiency deviation of the SCR to be tested in the current test area, wherein the actual efficiency deviation is actual efficiency-standard efficiency, calculating the fault association degree of each test area according to the relation among the actual efficiency deviation, the fault association degree and the efficiency deviation, calculating the sum of the fault association degrees, and if the sum is greater than a preset threshold value, the SCR to be tested breaks down; and if the sum is not greater than the preset threshold value, the SCR to be tested is normal. The decision weight of each test area can be distinguished through the fault correlation degree, and the test result is ensured to be more accurate.
Description
Technical Field
The invention relates to the technical field of vehicles, in particular to an SCR fault assessment method, an SCR device and a vehicle.
Background
SCR (Selective catalytic Reduction) efficiency is primarily affected by temperature, which affects the rate of chemical reactions in the SCR, and by space velocity, which affects the time during which the emissions are chemically reacted in the SCR. Of these two main factors, the temperature effect on the efficiency of the SCR is particularly significant.
Currently, SCR diagnostics are usually performed in the same window, taking temperature as an example, to analyze the shortcomings of the current technology. The difference between the normal piece and the degraded piece is different at different temperatures, and the difference between the normal piece and the degraded piece is larger below 300 ℃; and the normal part and the degraded part have no obvious efficiency difference at the temperature of 300-500 ℃. The current SCR efficiency diagnostic logic is: selecting the same working condition section, wherein one temperature section of the SCR is also selected; normally, the section should be selected to be between 200 ℃ and 300 ℃ to improve the differentiation of diagnosis and ensure the accuracy of diagnosis, but the section cannot ensure that the diagnosis can have sufficient diagnosis execution rate because the temperature of many vehicle types can be rapidly increased to be above 300 ℃ for a diesel engine between 200 ℃ and 300 ℃.
And decision weights of fault parts represented by different efficiencies in the working condition window are not distinguished, different efficiency values are different from decision weights for judging the fault parts, for example, the conversion efficiency of less than 80% is a limit value of a degraded part, if the calculated efficiency is 79%, the efficiency is possibly lower due to other factors, at this time, the same detection count is easy to misjudge, and if the calculated efficiency is 50%, the probability of misjudging is very small. But this information is clearly not utilized in current strategies.
Disclosure of Invention
The invention aims to: provided are an SCR fault evaluation method, an SCR device and a vehicle, so as to improve the accuracy of the diagnosis of SCR efficiency.
In one aspect, the present invention provides an SCR fault evaluation method, including:
setting w test areas P; the test conditions of any two test regions P are different, and w is an integer greater than 1;
arranging a plurality of test regions P sequentially as P1～PW；
In sequence at P1～PWCarrying out efficiency test on the SCR to be tested; wherein, carrying out the efficiency test to the SCR to be tested includes: acquiring the actual efficiency of the SCR to be tested in the current test area, calculating the actual efficiency deviation of the SCR to be tested in the current test area, wherein the actual efficiency deviation is actual efficiency-standard efficiency, and calculating the fault association degree of each test area according to the relation among the actual efficiency deviation, the fault association degree and the efficiency deviation; wherein, the standard efficiency is a preset value, and the current test area is P1～PWAny one of, the relational expression of the failure correlation degree of the test area and the efficiency deviation is set based on a probability density distribution function of the normal piece with respect to the efficiency deviation and a probability density distribution function of the deteriorated piece with respect to the efficiency deviation;
calculating the sum of the correlation degrees of all faults, and if the sum is greater than a preset threshold value, enabling the SCR to be tested to break down; and if the sum is not greater than the preset threshold value, the SCR to be tested is normal.
As a preferred technical solution of the SCR fault evaluation method, performing the efficiency test on the SCR to be tested further includes that after the fault association degree of each test area is calculated according to the relation among the actual efficiency deviation, the fault association degree, and the efficiency deviation:
will P1And summing the fault association degrees tested in the current test area to obtain a total fault association degree, and sending an alarm prompt if the total fault association degree is greater than a preset threshold value.
As a preferred technical scheme of the SCR fault evaluation method, if the total fault association degree is not greater than a preset threshold value, no alarm prompt is sent out, or the sent alarm prompt is cancelled.
As a preferred technical solution of the SCR fault evaluation method, each test zone includes a first test parameter and a second test parameter, and in any two test zones P, at least one of the first test parameter and the second test parameter is different.
As a preferred technical solution of the SCR fault evaluation method, setting w test zones includes:
determining a test range of a first test parameter and a test range of a second test parameter;
dividing the test range of the first test parameter into n first test intervals, wherein n is a positive integer;
dividing the test range of the second test parameter into m second test intervals, wherein m is a positive integer, and w is n × m;
each first test interval and m second test intervals form m test areas.
As a preferred technical solution of the SCR fault evaluation method, the first test parameter is temperature; the second test parameter is airspeed.
As a preferred technical scheme of the SCR fault evaluation method, when N is N1*N2When the test area is not equal to 0, the relation between the fault correlation degree and the efficiency deviation of the current test area is as follows:
wherein a is the fault association degree of the current test area, N1A probability density distribution function for normal with respect to the efficiency deviation; n is a radical of2A probability density distribution function for the degraded piece with respect to the efficiency deviation; max (maximum of ten)aIs the inverse of the maximum fault correlation value of the current test area, and Maxa＞1，Max(N1*N2) Is N1*N2P is equal to 1 when the actual efficiency deviation is greater than or equal to 0, and P is equal to-1 when the actual efficiency deviation is less than 0.
As a preferred technical scheme of the SCR fault evaluation method, when N is N1*N2When 0, the current test area is in fault shutdownThe relationship between the linkage degree and the efficiency deviation is as follows:
a-1＝Mina*P
wherein MinaIs the inverse of the minimum relevance value of the current test area, and Maxa＞Mina＞1。
In another aspect, the present invention provides an SCR apparatus, which adopts the SCR fault assessment method in any of the above schemes to assess whether an SCR has a fault.
In yet another aspect, the present disclosure provides a vehicle including the SCR device described above.
The invention has the beneficial effects that:
the invention provides an SCR fault evaluation method, an SCR device and a vehicle1～PWAnd sequentially at P1～PWCarrying out efficiency test on the SCR to be tested; when the efficiency of the SCR to be tested is tested, acquiring the actual efficiency of the SCR to be tested in the current test area, calculating the actual efficiency deviation of the SCR to be tested in the current test area, wherein the actual efficiency deviation is actual efficiency-standard efficiency, calculating the fault association degree of each test area according to the relation among the actual efficiency deviation, the fault association degree and the efficiency deviation, calculating the sum of the fault association degrees, and if the sum is greater than a preset threshold value, the SCR to be tested breaks down; and if the sum is not greater than the preset threshold value, the SCR to be tested is normal. And the relation between the fault association degree and the efficiency deviation of the test area is set based on the probability density distribution function of the normal part about the efficiency deviation and the probability density distribution function of the degraded part about the efficiency deviation, so that the decision weight of each test area can be distinguished through the fault association degree, and the test result is ensured to be more accurate.
Drawings
FIG. 1 is a flow chart of a method for SCR fault evaluation in an embodiment of the present invention;
FIG. 2 shows an embodiment of the present invention N1、N2And N1*N2Schematic representation of (a).
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Where the terms "first position" and "second position" are two different positions, and where a first feature is "over", "above" and "on" a second feature, it is intended that the first feature is directly over and obliquely above the second feature, or simply means that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
As shown in fig. 1, the present embodiment provides an SCR fault evaluation method, which includes the following steps:
s10: setting w test areas P, wherein the test conditions of any two test areas P are different, and w is an integer larger than 1.
Optionally, each test region P includes a first test parameter and a second test parameter, and at least one of the first test parameter and the second test parameter is different in any two test regions P. Preferably, the first test parameter is temperature; the second test parameter is airspeed. In other embodiments, the first test parameter and the second test parameter can be set as required; also, in other embodiments, each test area P may include only one test parameter or more than two test parameters.
Specifically, setting w test areas includes: determining a test range of a first test parameter and a test range of a second test parameter; dividing the test range of the first test parameter into n first test intervals, wherein n is a positive integer; dividing the test range of the second test parameter into m second test intervals, wherein m is a positive integer, and w is n × m; each first test interval and the m second test intervals form m test areas, and the n first test intervals and the m second test intervals can be interwoven into n m test areas, namely w test areas. In the present embodiment, n and m are both positive integers equal to or greater than 2.
S20: arranging a plurality of test regions P sequentially as P1～PW。
Wherein, in step S2, P may be set in an order in which the test parameters of the respective test zones are sequentially satisfied as time goes on after the vehicle is started1～PW。
S30: in sequence at P1～PWIn-process efficiency of SCR to be testedAnd (6) testing.
In S30, the SCRs under test may be sequentially tested in the w test zones, specifically, after the vehicle is started, P1Starting the test, and testing to PW。
Wherein, carrying out the efficiency test to the SCR to be tested includes:
acquiring the actual efficiency of the SCR to be tested in the current test area, calculating the actual efficiency deviation of the SCR to be tested in the current test area, wherein the actual efficiency deviation is actual efficiency-standard efficiency, and calculating the fault association degree of each test area according to the relation among the actual efficiency deviation, the fault association degree and the efficiency deviation; wherein, the standard efficiency is a preset value, and the current test area is P1～PWIn the above-described aspect, the relation between the degree of correlation of the failure and the efficiency deviation in the test area is set based on a probability density distribution function of the normal component with respect to the efficiency deviation and a probability density distribution function of the degraded component with respect to the efficiency deviation. It should be noted that the actual efficiency is obtained in the prior art, and is not described herein again. It should be noted that the fault association degree is an evaluation factor for evaluating whether the SCR to be tested is a fault in the corresponding test area, and a larger fault association degree indicates a higher possibility that the SCR is a fault.
In this embodiment, the relationship between the fault association degree and the efficiency deviation of the current test area is as follows:
wherein a is the fault association degree of the current test area, N1A probability density distribution function for normal with respect to the efficiency deviation; n is a radical of2A probability density distribution function for the degraded piece with respect to the efficiency deviation; max (maximum of ten)aIs the reciprocal of the maximum fault correlation value, Min, of the current test zoneaIs the inverse of the minimum relevance value of the current test area, and Maxa＞Mina＞1，Max(N1*N2) Is N1*N2P is equal to 1 when the actual efficiency deviation is greater than or equal to 0, and P is equal to-1 when the actual efficiency deviation is less than 0.
It will be appreciated that the probability density distribution function N of the normalizer with respect to the efficiency deviation1And a probability density distribution function N of the degraded piece with respect to the efficiency deviation2The SCR efficiency of the normal part is within the set range, and the SCR efficiency of the degraded part is outside the set range. For different test zones, N in the relation between fault correlation and efficiency deviation1And N2The functions of (A) may differ, as shown in FIG. 2, which shows in particular N at temperatures of 300 ℃ to 400 ℃ and space velocities of 500kg/h to 800kg/h1、N2And N1*N2Probability density distribution function with respect to efficiency deviation. Wherein N is1、N2Are all normal distribution functions, with a unique value for each actual efficiency deviation, N1*N2The probability of the SCR being misjudged under the same actual efficiency deviation can be represented. As can be seen from FIG. 2, when N is1*N2Not equal to 0, the sum of values of a and N1*N2Is negatively correlated, when the actual efficiency deviation is 0, N1、N2Maximum value and Max (N)1*N2) Is the maximum value of (A), when N is1*N2Equal to Max (N)1*N2) The absolute value of a is at least
At the moment, the fault relevance degree in the current test area is lower; when N is present1*N2When the value of a is 0, the maximum value of a is
At this time, the fault relevance in the current test area is higher.
Optionally, the performing the efficiency test on the SCR to be tested further includes calculating the fault association degree of each test area according to the relation among the actual efficiency deviation, the fault association degree, and the efficiency deviation: will P1Summing the fault association degrees tested in the current test area to obtain a total fault association degree, and sending an alarm prompt if the total fault association degree is greater than a preset threshold value; if total fault is associatedIf the degree is not greater than the preset threshold value, no alarm prompt is sent out or the sent alarm prompt is cancelled. In the testing process, if an alarm is given, the fault can be confirmed, and after the alarm is given, the alarm is cancelled, so that the fault can be cured. It can be understood that when an alarm is given, it means that the SCR has a fault hidden trouble in the current test area, if the subsequent alarm is cancelled, it means that the alarm is caused by other factors, and if the subsequent alarm is continued and not cancelled, it is finally determined that the SCR has a fault.
S40: calculating the sum of the correlation degrees of all faults, and if the sum is greater than a preset threshold value, enabling the SCR to be tested to break down; and if the sum is not greater than the preset threshold value, the SCR to be tested is normal. Whether the SCR to be tested can meet the working requirement or not can be comprehensively evaluated through the sum of the correlation degrees of all faults.
According to the SCR fault evaluation method provided by the invention, when the SCR efficiency is tested, the actual efficiency deviation is calculated through the actual efficiency of the SCR to be tested acquired in the current test area, the fault association degree of the current test area is calculated based on the actual efficiency deviation and the relation between the fault association degree and the efficiency deviation, and the relation between the fault association degree and the efficiency deviation of the test area is set based on the probability density distribution function of the normal part relative to the efficiency deviation and the probability density distribution function of the degraded part relative to the efficiency deviation, so that the decision weight of each test area can be distinguished through the fault association degree, the test result is more accurate, and the confirmation and cure of the fault can be realized through the comparison between the total fault association degree and the preset threshold value.
The embodiment also provides an SCR device, and whether the SCR fails is evaluated by adopting the SCR fault evaluation method.
The embodiment also provides a vehicle comprising the SCR device.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. An SCR fault evaluation method, comprising:
setting w test areas P; the test conditions of any two test regions P are different, and w is an integer greater than 1;
arranging a plurality of test regions P sequentially as P1～PW；
In sequence at P1～PWCarrying out efficiency test on the SCR to be tested; wherein, carrying out the efficiency test to the SCR to be tested includes: acquiring the actual efficiency of the SCR to be tested in the current test area, calculating the actual efficiency deviation of the SCR to be tested in the current test area, wherein the actual efficiency deviation is actual efficiency-standard efficiency, and calculating the fault association degree of each test area according to the relation among the actual efficiency deviation, the fault association degree and the efficiency deviation; wherein, the standard efficiency is a preset value, and the current test area is P1～PWAny one of, the relational expression of the failure correlation degree of the test area and the efficiency deviation is set based on a probability density distribution function of the normal piece with respect to the efficiency deviation and a probability density distribution function of the deteriorated piece with respect to the efficiency deviation;
calculating the sum of the correlation degrees of all faults, and if the sum is greater than a preset threshold value, enabling the SCR to be tested to break down; and if the sum is not greater than the preset threshold value, the SCR to be tested is normal.
2. The SCR fault evaluation method of claim 1, wherein performing the efficiency test on the SCR under test further comprises, after calculating the fault association degrees for each test zone according to the relationship of the actual efficiency deviation, the fault association degrees, and the efficiency deviation:
will P1And summing the fault association degrees tested in the current test area to obtain a total fault association degree, and sending an alarm prompt if the total fault association degree is greater than a preset threshold value.
3. The SCR fault evaluation method of claim 2, wherein if the total fault association degree is not greater than a preset threshold, no alarm is issued or an issued alarm is cancelled.
4. The SCR fault evaluation method of claim 1, wherein each test zone comprises a first test parameter and a second test parameter, at least one of the first test parameter and the second test parameter being different in any two of the test zones P.
5. The SCR fault evaluation method of claim 4, wherein setting w test zones comprises:
determining a test range of a first test parameter and a test range of a second test parameter;
dividing the test range of the first test parameter into n first test intervals, wherein n is a positive integer;
dividing the test range of the second test parameter into m second test intervals, wherein m is a positive integer, and w is n × m;
each first test interval and m second test intervals form m test areas.
6. The SCR fault assessment method of claim 5, wherein said first test parameter is temperature; the second test parameter is airspeed.
7. SCR fault evaluation method according to any of claims 1-6, characterized in that when N is1*N2When the test area is not equal to 0, the relation between the fault correlation degree and the efficiency deviation of the current test area is as follows:
wherein a is the fault association degree of the current test area, N1A probability density distribution function for normal with respect to the efficiency deviation; n is a radical of2To deteriorateA probability density distribution function of the element with respect to the efficiency deviation; max (maximum of ten)aIs the inverse of the maximum fault correlation value of the current test area, and Maxa＞1，Max(N1*N2) Is N1*N2P is equal to 1 when the actual efficiency deviation is greater than or equal to 0, and P is equal to-1 when the actual efficiency deviation is less than 0.
8. The SCR fault evaluation method of claim 7, wherein when N is1*N2When the value is equal to 0, the relation between the fault association degree and the efficiency deviation of the current test area is as follows:
a-1＝Mina*P
wherein MinaIs the inverse of the minimum relevance value of the current test area, and Maxa＞Mina＞1。
9. An SCR device characterized in that whether or not SCR is malfunctioning is evaluated by the SCR malfunction evaluation method according to any one of claims 1 to 8.
10. A vehicle comprising the SCR device of claim 9.
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