Omnibearing evaluation method and system for high-cleanliness filter

Abstract

The invention discloses an omnibearing evaluation method and system for a high-cleanliness filter, and relates to the technical field of filter evaluation, and the main scheme is that the method comprises the steps: collecting the filtering efficiency data, pressure drop data, particulate matter concentration data and working environment data of the filter, and the operation state data of a new energy vehicle; the method comprises the following steps: firstly, respectively calculating a corresponding filter filtering efficiency health index, a filter pressure drop health index, a filter particulate matter concentration index and a filter operation correlation health index, further calculating a filter comprehensive performance index, finally presetting a comprehensive threshold set, comparing the filter comprehensive performance index with the comprehensive threshold set, and calculating the filter operation correlation health index according to the preset comprehensive threshold set. Therefore, the current energy efficiency grade of the filter is judged.

Description

Technical Field

[0001] The present invention relates to the technical field of filter evaluation, and in particular to a comprehensive evaluation method and system for a high-cleanliness filter. Background Art

[0002] As the new energy vehicle industry is developing rapidly, high-cleanliness filters play a key role in ensuring vehicle performance and in-vehicle environmental quality. The complex and diverse driving conditions and higher performance requirements for filters make it difficult for traditional evaluation methods to meet actual needs. Therefore, the development of a comprehensive, multi-dimensional filter evaluation method and system has important practical significance and urgent needs.

[0003] Traditional filter evaluation methods have many limitations. In terms of data collection, they only focus on some basic data of the filter, which makes it difficult to fully reflect the working status of the filter. There is a lack of a comprehensive multi-index calculation process for the health index, which cannot comprehensively measure the health of the filter and cannot accurately evaluate the performance trend of the filter. It is difficult to accurately locate the performance level of the filter based on only a single or a few indicators, and cannot meet the requirements for efficient and stable operation of the filter under complex working conditions of new energy vehicles. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides a comprehensive evaluation method and system for a high-cleanliness filter. The method collects filter efficiency data, pressure drop data, particulate matter concentration data, working environment data and new energy vehicle operating status data of the filter, and then calculates the corresponding filter efficiency health index, filter pressure drop health index, filter particulate matter concentration index and filter operation-related health index, and further calculates the filter comprehensive performance index. Finally, a comprehensive threshold set is preset, and the filter comprehensive performance index is compared with it to judge the current energy efficiency level of the filter. The method solves the problem that in terms of data collection, only some basic data of the filter is paid attention to, which makes it difficult to fully reflect the working status of the filter, and there is a lack of a process for calculating the health index of comprehensive multiple indexes, so that the health of the filter cannot be fully measured, and the performance trend of the filter cannot be accurately evaluated. It is difficult to accurately locate the performance level of the filter based on only a single or a few indicators, and the requirements for efficient and stable operation of the filter under complex working conditions of new energy vehicles cannot be met.

[0005] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: a comprehensive evaluation method for a high cleanliness filter, comprising the following steps: Step 1: Collect filter efficiency data, pressure drop data, particulate matter concentration data, working environment data and new energy vehicle operating status data; Step 2: Calculate the filter energy efficiency index FEI and the filter performance degradation index FPD based on the filter efficiency data; Calculate the filter efficiency health index FES based on the filter energy efficiency index FEI and the filter performance degradation index FPD; Calculate the filter pressure drop health index FPR based on the pressure drop data; Calculate the filter particle concentration index JAL based on the particle concentration data; Calculate the filter environmental impact life loss index QXK based on the working environment data, and further calculate the filter working environment health index MFD; Calculate the filter operation related health index FLC based on the new energy vehicle operation status data; The filter comprehensive performance index JDW is calculated based on the filter efficiency health index FES, the filter pressure drop health index FPR, the filter particle concentration index JAL and the filter operation related health index FLC; Step 3: Preset a filter comprehensive threshold set, compare the filter comprehensive performance index JDW with the filter comprehensive threshold set, and determine the current energy efficiency level of the filter.

[0006] In the preferred embodiment of the above-mentioned all-round evaluation method of a high-cleanliness filter, the method for calculating the filter energy efficiency index FEI and the filter performance degradation index FPD is as follows: The filtration efficiency data includes the initial particle filtration efficiency CWQ, the current particle filtration efficiency EWQ, the minimum particle filtration efficiency ERS allowed in normal use, and the maximum particle filtration efficiency SIA allowed in normal use; The filter energy efficiency index FEI is calculated based on the initial particle filtration efficiency CWQ, the current particle filtration efficiency EWQ, the minimum particle filtration efficiency ERS allowed in normal use, and the maximum particle filtration efficiency SIA allowed in normal use. The formula is as follows: ; The filter efficiency data also includes the filter's service life TYU, the filter's half-life time RWQ and the filter's reference filter efficiency GHE; The filter performance degradation index FPD is calculated based on the initial particle filtration efficiency CWQ, the current particle filtration efficiency EWQ, the maximum particle filtration efficiency SIA allowed during normal use, the filter usage time TYU, the filter half-life time RWQ and the filter reference filtration efficiency GHE. The formula is as follows: .

[0007] In the preferred embodiment of the above-mentioned all-round evaluation method of a high-cleanliness filter, the method for calculating the filter efficiency health index FES is: The filter efficiency health index FES is calculated based on the filter energy efficiency index FEI and the filter performance degradation index FPD. The formula is as follows: .

[0008] In the preferred embodiment of the above-mentioned all-round evaluation method of a high-cleanliness filter, the method for calculating the filter pressure drop health index FPR is: The pressure drop data includes the current pressure drop WAC of the filter, the optimal pressure drop DWF of the filter, the maximum pressure drop FNR allowed in normal use, the minimum pressure drop BYR allowed in normal use, the initial pressure drop NTR of the filter and the rated pressure drop HEW of the filter; The filter pressure drop health index FPR is calculated based on the current filter pressure drop WAC, the filter's optimal pressure drop DWF, the maximum pressure drop FNR allowed in normal use, the minimum pressure drop BYR allowed in normal use, the filter's initial pressure drop NTR and the filter's rated pressure drop HEW. The formula is as follows: .

[0009] In the preferred embodiment of the above-mentioned all-round evaluation method of a high-cleanliness filter, the method for calculating the filter particle concentration index JAL is: The particle concentration data includes the particle concentration GSS at the filter inlet, the rated intake particle concentration KWC, the maximum intake particle concentration MVI that the filter can withstand, the particle concentration JVC at the filter outlet, and the reference concentration difference JVS. The filter particle concentration index JAL is calculated based on the particle concentration GSS at the filter inlet, the rated inlet particle concentration KWC, the maximum inlet particle concentration MVI that the filter can withstand, the particle concentration JVC at the filter outlet and the reference concentration difference JVS. The formula is as follows: .

[0010] In the preferred embodiment of the above-mentioned all-round evaluation method of a high-cleanliness filter, the method for calculating the filter working environment health index MFD is: Working environment data includes real-time values ​​of environmental parameters JDI i , the best working value NFJ of environmental parameters i , the maximum value of the environmental parameters that can be tolerated DCM i And the minimum value of the environmental parameter that can be tolerated XJS i ; According to the real-time value of the environment parameter JDI i , the best working value NFJ of environmental parameters i , the maximum value DCM that environmental parameters can withstand i The minimum value XJS that the environmental parameters can withstand i The formula for calculating the filter environmental impact life loss index QXK is as follows: ; Among them, JDI i is the real-time value of the i-th environmental parameter, NFJ i is the ideal working value of the i-th environmental parameter, DCM i is the maximum value that the i-th environmental parameter can bear, XJS i is the minimum value that the i-th environmental parameter can bear, i is the serial number corresponding to different environmental parameters, and its value is [1, m]; m is the number of environmental parameter types, and its value is a positive integer; The filter working environment health index MFD is calculated based on the filter environmental impact life loss index QXK, and the formula is as follows: ; Among them, α is the weight coefficient of the filter environmental impact life loss index QXK, and its value ranges from 0 to 1.

[0011] In the preferred embodiment of the above-mentioned all-round evaluation method of a high-cleanliness filter, the method for calculating the filter operation-related health index FLC is: New energy vehicle operating status data includes motor power BVD f , the car's speed BDW f and the vehicle's maximum design speed, WEG; According to the motor power BVD f , the car's speed BDW f The filter operation related health index FLC is calculated based on the vehicle's maximum design speed WEG, and the formula is as follows: ; Among them, BVD f is the motor power at the fth sampling time, BDW f is the speed of the car at the f-th sampling time, f is the serial number corresponding to different sampling times, and its value is [1, n]; n is the sampling number, and its value is a positive integer.

[0012] In the preferred embodiment of the above-mentioned all-round evaluation method of a high-cleanliness filter, the method for calculating the filter comprehensive performance index JDW is: The filter comprehensive performance index JDW is calculated based on the filter efficiency health index FES, the filter pressure drop health index FPR, the filter particle concentration index JAL and the filter operation related health index FLC. The formula is as follows: .

[0013] In the preferred embodiment of the above-mentioned all-round evaluation method of a high-cleanliness filter, the standard for judging the current energy efficiency level of the filter is as follows: The filter comprehensive threshold set includes a low energy efficiency threshold MS and a high energy efficiency threshold NS; wherein the high energy efficiency threshold NS> the low energy efficiency threshold MS; Compare the filter comprehensive performance index JDW with the filter comprehensive threshold set to determine the current filter energy efficiency level as follows: .

[0014] The present invention also discloses a comprehensive evaluation system for high cleanliness filters, comprising: Data acquisition module, used to collect filter efficiency data, pressure drop data, particulate matter concentration data, working environment data and new energy vehicle operation status data; A data calculation module is used to calculate the filter energy efficiency index FEI and the filter performance decay index FPD according to the filter efficiency data; and to calculate the filter efficiency health index FES according to the filter energy efficiency index FEI and the filter performance decay index FPD; Calculate the filter pressure drop health index FPR based on the pressure drop data; Calculate the filter particle concentration index JAL based on the particle concentration data; Calculate the filter environmental impact life loss index QXK based on the working environment data, and further calculate the filter working environment health index MFD; Calculate the filter operation related health index FLC based on the new energy vehicle operation status data; The filter comprehensive performance index JDW is calculated based on the filter efficiency health index FES, the filter pressure drop health index FPR, the filter particle concentration index JAL and the filter operation related health index FLC; The data judgment module is used to preset a filter comprehensive threshold set, compare the filter comprehensive performance index JDW with the filter comprehensive threshold set, and judge the current energy efficiency level of the filter.

[0015] (III) Beneficial effects The present invention provides a comprehensive evaluation method and system for high cleanliness filters, which has the following beneficial effects: (1) By collecting filter efficiency data, pressure drop data, particulate matter concentration data, working environment data and new energy vehicle operating status data, the working status of the filter in different dimensions can be fully reflected, avoiding the one-sidedness of single data evaluation, laying the foundation for subsequent accurate evaluation of filter performance and ensuring that the initial understanding of filter performance is comprehensive and accurate.

[0016] (2) By calculating the corresponding filter efficiency health index, filter pressure drop health index, filter particulate matter concentration index and filter operation correlation health index, and further calculating the filter comprehensive performance index, the filter performance in terms of filtration efficiency, pressure drop, particulate matter concentration, environmental impact and operation correlation can be accurately analyzed, providing a quantitative basis for comprehensive evaluation of the filter status, which is conducive to targeted maintenance and management work.

[0017] (3) By presetting a comprehensive set of threshold values ​​and comparing them, the complex filter performance evaluation results are quantified into specific energy efficiency levels, providing a clear basis for decisions such as filter maintenance and replacement. This allows relevant personnel to quickly and intuitively understand the current status of the filter and know whether the filter needs maintenance or replacement without professional knowledge, thereby improving decision-making efficiency and accuracy and facilitating management and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 The figure is a schematic diagram of the working steps of a comprehensive evaluation method for a high cleanliness filter according to the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] See also Figure 1 The present invention provides a comprehensive evaluation method for a high cleanliness filter, comprising the following steps: Step 1: Collect filter efficiency data, pressure drop data, particulate matter concentration data, working environment data and new energy vehicle operating status data.

[0021] When using, combine the content of step 1: By collecting the filter's filtration efficiency data, pressure drop data, particulate matter concentration data, working environment data and new energy vehicle operating status data, the filter's working status in different dimensions can be fully reflected, avoiding the one-sidedness of single data evaluation, laying the foundation for subsequent accurate evaluation of filter performance and ensuring that the initial understanding of filter performance is comprehensive and accurate.

[0022] Step 2: Calculate the filter energy efficiency index FEI and the filter performance degradation index FPD based on the filtration efficiency data; calculate the filter efficiency health index FES based on the filter energy efficiency index FEI and the filter performance degradation index FPD.

[0023] The filter pressure drop health index FPR is calculated based on the pressure drop data.

[0024] The filter particle concentration index JAL is calculated based on the particle concentration data.

[0025] The filter environmental impact life loss index QXK is calculated based on the working environment data, and the filter working environment health index MFD is further calculated.

[0026] The filter operation-related health index FLC is calculated based on the operating status data of new energy vehicles.

[0027] The filter comprehensive performance index JDW is calculated based on the filter efficiency health index FES, the filter pressure drop health index FPR, the filter particulate matter concentration index JAL and the filter operation-related health index FLC.

[0028] Step 201: The method for calculating the filter energy efficiency index FEI and the filter performance degradation index FPD is: The filtration efficiency data includes the initial particle filtration efficiency CWQ, the current particle filtration efficiency EWQ, the minimum particle filtration efficiency ERS allowed in normal use, and the maximum particle filtration efficiency SIA allowed in normal use.

[0029] It should be noted that the initial particle filtration efficiency CWQ refers to the particle filtration efficiency of the filter under the initial use state. It is obtained by setting particle concentration detectors before and after the filter under standard air flow, particle size distribution and other conditions, measuring the particle concentration c1 before entering the filter and the particle concentration c2 after filtration by the filter, and then calculating it according to the formula: CWQ=(1-c2 / c1)×100%; the current particle filtration efficiency EWQ refers to the actual particle filtration efficiency of the filter in the current use stage, which is obtained by real-time monitoring using a particle concentration detector during vehicle driving; the minimum particle filtration efficiency ERS allowed in normal use refers to the minimum filtration efficiency value that the filter can accept under normal use, which is obtained through the product technical specification; the maximum particle filtration efficiency SIA allowed in normal use refers to the maximum particle filtration efficiency value that the filter can achieve under normal use conditions set by the manufacturer, which is obtained through the product technical specification.

[0030] The filter energy efficiency index FEI is calculated based on the initial particle filtration efficiency CWQ, the current particle filtration efficiency EWQ, the minimum particle filtration efficiency ERS allowed in normal use, and the maximum particle filtration efficiency SIA allowed in normal use. The formula is as follows: ; It should be noted that in this formula: The calculation is the ratio of the current particle filtration efficiency to the initial particle filtration efficiency, which reflects the relative change of the filter's filtration efficiency from the initial use to the current moment. This part calculates the proportion of the current filtration efficiency's deviation from the minimum allowable filtration efficiency within the allowable efficiency range. The square root is taken for the needs of subsequent calculations to make the results more in line with mathematical logic and practical significance. The relative position of the current filtration efficiency within the allowable range calculated above is added with 1 in order to give a certain weight to the position of the current filtration efficiency within the allowable range, so that the final filter filtration energy efficiency index can more comprehensively reflect the current filtration efficiency, not only considering the ratio to the initial efficiency, but also considering the relative position within the normal use range. Overall, the filter filtration energy efficiency index FEI can be used to evaluate the filter's energy efficiency in particulate matter filtration, and provides a quantitative basis for judging whether the filter's performance is good and whether it needs maintenance or replacement. When the FEI value is high, it may indicate that the filter's current filtration energy efficiency is good and can still meet the use requirements; when the FEI value is low, it may indicate that the filter's filtration energy efficiency has decreased, and further inspection or timely replacement of the filter is required to ensure the normal operation of related equipment and environmental quality.

[0031] The filtration efficiency data also includes the filter's usage time TYU, the filter's half-life time RWQ and the filter's reference filtration efficiency GHE.

[0032] It should be noted that the filter usage time TYU represents the time from the start of use of the filter to the current moment, which is obtained by recording the installation date of the filter in the vehicle's maintenance record and subtracting it from the current date; the filter half-life time RWQ represents the time required for the filter's filtration efficiency to decay to half of the initial efficiency, which is obtained from the product's technical data; the filter's reference filtration efficiency GHE represents a reference value used for comparison and calculation, which is obtained from the filter's design documents.

[0033] The filter performance degradation index FPD is calculated based on the initial particle filtration efficiency CWQ, the current particle filtration efficiency EWQ, the maximum particle filtration efficiency SIA allowed during normal use, the filter usage time TYU, the filter half-life time RWQ and the filter reference filtration efficiency GHE. The formula is as follows: .

[0034] It should be noted that in this formula: Calculate the ratio of the difference between the initial particle filtration efficiency and the current particle filtration efficiency to the initial filtration efficiency, which reflects the relative attenuation of the filter's filtration efficiency from the initial use to the current moment; The effects of filter usage time and half-life time on the performance decay index are partially considered; This part is mainly used to consider the impact of the relative difference between the current filtration efficiency and the reference filtration efficiency on the performance decay index; overall, the filter performance decay index FPD comprehensively reflects the performance decay of the filter during use due to factors such as the passage of time, changes in filtration efficiency, and differences from the reference performance level. The larger the FPD value, the more serious the performance decay of the filter; the smaller the FPD value, the better the performance of the filter and the smaller the degree of decay.

[0035] Step 202: The method for calculating the filter efficiency health index FES is as follows: The filter efficiency health index FES is calculated based on the filter energy efficiency index FEI and the filter performance degradation index FPD. The formula is as follows: .

[0036] It should be noted that in this formula: The value of this fraction reflects the degree and direction of the deviation of the filter energy efficiency index from 1. The purpose of squaring is to further amplify or reduce the impact of this value and make the result always positive for subsequent calculations and comparisons. Adding 1 to the above square value is to avoid the situation where the denominator is 0. At the same time, the value range of the entire fraction is adjusted to make it always greater than 1, which can ensure that the denominator will not be abnormal in subsequent calculations and make the calculation results more reasonable and comparable. It reflects the influence of the filtration energy efficiency index on the filtration efficiency health index. Taking the natural constant e as the base, It is an exponential function of an index. Its function is to adjust the final result according to the difference between the performance attenuation index and 1. Adding 1 to the above exponential function value is also to avoid unreasonable results in certain special cases and to make the value of this part always greater than 1. The larger the filter efficiency health index FES value, the better the filter efficiency health; the smaller the FES value, the worse the filter efficiency health, and maintenance or replacement may be required.

[0037] Step 203: The method for calculating the filter pressure drop health index FPR is: The pressure drop data includes the current pressure drop WAC of the filter, the optimal pressure drop DWF of the filter, the maximum pressure drop FNR allowed in normal use, the minimum pressure drop BYR allowed in normal use, the initial pressure drop NTR of the filter and the rated pressure drop HEW of the filter.

[0038] It should be noted that the current pressure drop WAC of the filter indicates the pressure loss value generated when the fluid passes through the filter in the current working state. It is obtained by measuring the inlet and outlet pressures of the filter in real time through the pressure sensor at the inlet and outlet of the filter, and then calculating the difference between the two. The optimal pressure drop DWF of the filter indicates the pressure drop value when the filter performance can reach the optimal level under the ideal working state. It is obtained through the product technical specification of the filter. The maximum allowable pressure drop FNR during normal use indicates the maximum pressure drop value allowed during normal use of the filter. The filter's design requirements specification indicates that the filter can be used as a filter element. The filter's minimum allowable pressure drop BYR in normal use indicates the lower limit of the filter's pressure drop under normal use, which is obtained through the filter's design requirements specification. The filter's initial pressure drop NTR indicates the pressure drop value when the filter is in a new state and put into use for the first time. The initial pressure drop is obtained by using a pressure sensor to measure the inlet and outlet pressure difference of a new filter when a fluid with a specified flow rate passes through the filter under a standard test environment. The filter's rated pressure drop HEW indicates the standard value of the filter's pressure drop under rated working conditions, which is obtained through the product's technical specifications.

[0039] The filter pressure drop health index FPR is calculated based on the current filter pressure drop WAC, the filter's optimal pressure drop DWF, the maximum pressure drop FNR allowed in normal use, the minimum pressure drop BYR allowed in normal use, the filter's initial pressure drop NTR and the filter's rated pressure drop HEW. The formula is as follows: .

[0040] It should be noted that in this formula: The overall function is to provide a relative pressure drop health index based on the deviation between the current pressure drop and the optimal pressure drop and the normal pressure drop range. It represents an exponential function with the natural constant as the base and the absolute value of the difference between the current pressure drop and the initial pressure drop relative to the rated pressure drop as the exponent. Considering the impact of the change of filter pressure drop over time on the health index, the greater the pressure drop change, the greater the impact on the health index. A nonlinear influencing factor is introduced to further adjust the pressure drop health index according to the ratio of the current pressure drop to the optimal pressure drop, making the evaluation more comprehensive and detailed. The larger the filter pressure drop health index FPR value, the better the pressure drop health of the filter; the smaller the FPR value, the worse the pressure drop health of the filter.

[0041] Step 204: The method for calculating the filter particle concentration index JAL is: The particle concentration data includes the particle concentration GSS at the filter inlet, the rated intake particle concentration KWC, the maximum intake particle concentration MVI that the filter can withstand, the particle concentration JVC at the filter outlet and the reference concentration difference JVS.

[0042] It should be noted that the particle concentration GSS at the filter inlet indicates the concentration of particulate matter contained in the air before entering the filter, which is measured by a laser dust meter; the rated intake particulate matter concentration KWC indicates the standard value of the intake particulate matter concentration allowed under normal working conditions specified when the filter is designed and manufactured, which is obtained through the product manual; the maximum intake particulate matter concentration MVI that the filter can withstand indicates the upper limit of the intake particulate matter concentration that the filter can withstand without affecting its normal function and service life, which is obtained through the product technical data manual; the particle concentration JVC at the filter outlet indicates the concentration of particulate matter contained in the air discharged from the outlet after filtration by the filter, which is measured by a laser dust meter; the reference concentration difference JVS indicates the reference value used for calculation and comparison, which is obtained through relevant technical document manuals.

[0043] The filter particle concentration index JAL is calculated based on the particle concentration GSS at the filter inlet, the rated inlet particle concentration KWC, the maximum inlet particle concentration MVI that the filter can withstand, the particle concentration JVC at the filter outlet and the reference concentration difference JVS. The formula is as follows: .

[0044] It should be noted that in this formula: The main focus is on the relationship between the intake particulate matter concentration and the rated value and the maximum tolerance value, and the impact of the intake particulate matter concentration on the filter is evaluated. The square operation makes the change of the numerator more prominent in the impact of the entire fraction. The filter effect is measured based on the relationship between the outlet particle concentration and the rated inlet particle concentration. The cubic method will more significantly amplify the change in this ratio. By highlighting the differences in the filtering capabilities of filters for particulate matter, the filter particle concentration index is further adjusted so that the index can more accurately reflect the performance of the filter. The fourth power can more significantly reflect the differences in the filtering effects of the filter under different conditions.

[0045] Step 205: The method for calculating the filter working environment health index MFD is: Working environment data includes real-time values ​​of environmental parameters JDI i , the best working value NFJ of environmental parameters i , the maximum value of the environmental parameters that can be tolerated DCM i And the minimum value of the environmental parameter that can be tolerated XJS i .

[0046] It should be noted that the real-time value of the environmental parameter JDI i It represents the actual measured value of the i-th environmental parameter in the filter environment at the current moment, such as temperature, humidity, air pressure, light intensity, wind speed and other environmental parameters, which are obtained by various sensors installed in the filter working environment, such as temperature sensor for measuring ambient temperature, humidity sensor for measuring ambient humidity, piezoelectric pressure sensor for measuring ambient air pressure, photoresistor sensor for measuring ambient light intensity, ultrasonic wind speed sensor for measuring ambient wind speed, etc.; the optimal working value NFJ of the environmental parameter i It indicates the optimal value that the filter should reach for the i-th environmental parameter under ideal working conditions, which can be obtained from the filter product manual; the maximum value of the environmental parameter that can be tolerated is DCM i It indicates the upper limit of the ith environmental parameter that the filter can withstand without affecting its normal function and service life, obtained through the product's technical data; the minimum value of the environmental parameter that can be tolerated is XJS iIt indicates the lower limit of the i-th environmental parameter when the filter is working normally, which is obtained through the technical data of the product.

[0047] According to the real-time value of the environment parameter JDI i , the best working value NFJ of environmental parameters i , the maximum value DCM that environmental parameters can withstand i The minimum value XJS that the environmental parameters can withstand i The formula for calculating the filter environmental impact life loss index QXK is as follows: ; Among them, JDI i is the real-time value of the i-th environmental parameter, NFJ i is the ideal working value of the i-th environmental parameter, DCM i is the maximum value that the i-th environmental parameter can bear, XJS i is the minimum value that the i-th environmental parameter can withstand, i is the serial number corresponding to different environmental parameters, and its value is [1, m]; m is the number of environmental parameter types, and its value is a positive integer.

[0048] It should be noted that in this formula: It indicates the proportion of the current environmental parameter's deviation from the optimal working value within the tolerable range. Subtracting the above fraction from 1 will give a reverse indicator of the degree of influence on the filter due to the deviation of the environmental parameter from the optimal working value under the i-th environmental parameter. For all i=1 to i=m The value of is multiplied to comprehensively consider the joint influence of all environmental parameters on the filter. The filter environmental influence life loss index QXK is obtained by subtracting the above multiplication result from 1. This index can help users and maintenance personnel intuitively understand the life loss of the filter under the current environmental conditions, and provide an important reference for the use, maintenance and management of the filter.

[0049] The filter working environment health index MFD is calculated based on the filter environmental impact life loss index QXK, and the formula is as follows: ; Among them, α is the weight coefficient of the filter environmental impact life depreciation index QXK, which is determined according to the influence of the filter environmental impact life depreciation index QXK on the filter working environment health index MFD, and the value is 0~1.

[0050] It should be noted that in this formula: The weight coefficient α is multiplied by QXK as an index, which plays a role in adjusting the weight and sensitivity of environmental impact in the entire formula. Adding 1 to the above exponential function value can ensure that there will be no abnormalities in the denominator in subsequent calculations, and make the calculation results more reasonable and comparable. The main purpose of taking the square root is to further adjust and scale the results so that the final value range of the filter working environment health index is within a more appropriate range, which is easier to understand and compare. The larger the MFD value, the healthier the filter working environment and the smaller the negative impact on the filter life. The smaller the MFD value, the greater the impact of the working environment on the filter life and the worse the environmental health.

[0051] Step 206: The method for calculating the filter operation related health index FLC is: New energy vehicle operating status data includes motor power BVD f , the car's speed BDW f and the vehicle's maximum design speed WEG.

[0052] It should be noted that the motor power BVD f represents the power of the motor at the fth sampling time, which is obtained through the car's electronic control system; the car's driving speed BDW f It represents the speed of the car at the f-th sampling time, which is measured by the speed sensor; the maximum design speed WEG of the car represents the theoretical maximum speed determined by the car during the design stage, which is obtained through the technical specifications of the car.

[0053] According to the motor power BVD f , the car's speed BDW f The filter operation related health index FLC is calculated based on the vehicle's maximum design speed WEG, and the formula is as follows: ; Among them, BVD f is the motor power at the fth sampling time, BDW f is the speed of the car at the f-th sampling time, f is the serial number corresponding to different sampling times, and its value is [1, n]; n is the sampling number, and its value is a positive integer.

[0054] It should be noted that in this formula: The two factors of motor power and vehicle speed are comprehensively considered, and the driving speed is normalized by the ratio with the maximum design speed, so that the speed factors of different models are comparable. The product results of all sampling times are summed up to obtain the cumulative value of the combined impact of motor power and normalized driving speed over a period of time. What is calculated is the average motor power, which reflects the average level of motor power during the entire sampling period; the two are divided to obtain the filter operation-related health index FLC, which can help users and maintenance personnel understand the correlation between the vehicle's operating status and the filter's health, and provide a reference for filter maintenance, care and fault diagnosis.

[0055] Step 207: The method for calculating the filter comprehensive performance index JDW is: The filter comprehensive performance index JDW is calculated based on the filter efficiency health index FES, the filter pressure drop health index FPR, the filter particle concentration index JAL and the filter operation related health index FLC. The formula is as follows: .

[0056] It should be noted that in this formula: the filter comprehensive performance index is calculated by adding the filter filtration efficiency health index, the filter pressure drop health index, the filter particulate matter concentration index and the filter operation-related health index. It is a comprehensive quantitative evaluation of the overall performance of the filter. The larger the JDW value, the better the filter performs in terms of filtration efficiency, pressure drop, particulate matter filtration and operation correlation, and the better the overall performance; the smaller the JDW value, the more problems the filter may have in these aspects and the poorer the overall performance.

[0057] When used, combine the contents of step 201 to step 207: By calculating the corresponding filter efficiency health index, filter pressure drop health index, filter particulate matter concentration index and filter operation correlation health index, and further calculating the filter comprehensive performance index, the filter performance in terms of filtration efficiency, pressure drop, particulate matter concentration, environmental impact and operation correlation can be accurately analyzed, providing a quantitative basis for a comprehensive evaluation of the filter status, which is conducive to targeted maintenance and management work.

[0058] Step 3: Preset a filter comprehensive threshold set, compare the filter comprehensive performance index JDW with the filter comprehensive threshold set, and determine the current energy efficiency level of the filter.

[0059] Step 301: Preset the filter comprehensive threshold set, the standards of which are as follows: By collecting data from several unused qualified filters, the comprehensive filter performance index JDW is calculated, and the average value is calculated. The 80% quantile value of the average value is used as the high energy efficiency threshold NS; the 40% quantile value of the average value is used as the low energy efficiency threshold MS, and the high energy efficiency threshold NS> the low energy efficiency threshold MS.

[0060] Step 302: The standard for determining the current energy efficiency level of the filter is as follows: The filter comprehensive threshold set includes a low energy efficiency threshold MS and a high energy efficiency threshold NS; wherein the high energy efficiency threshold NS> the low energy efficiency threshold MS; Compare the filter comprehensive performance index JDW with the filter comprehensive threshold set to determine the current filter energy efficiency level as follows: .

[0061] It should be noted that when it is at a low energy efficiency level, the first response strategy is to replace the filter immediately to ensure the safety and performance of the equipment; when it is at a medium energy efficiency level, the second response strategy is to strengthen monitoring and maintenance. During the maintenance process, the filter should be checked more carefully in all aspects, such as to see if there is blockage or damage, to ensure that its performance will not deteriorate further and to ensure the stable operation of the equipment; when it is at a high energy efficiency level, the third response strategy is to continue normal use, but regular monitoring is still required.

[0062] When used, combine the contents of step 301 to step 302: By presetting a comprehensive set of threshold values ​​and comparing them, complex filter performance evaluation results are quantified into specific energy efficiency levels, providing a clear basis for decisions such as filter maintenance and replacement. This allows relevant personnel to quickly and intuitively understand the current status of the filter and know whether the filter needs maintenance or replacement without professional knowledge, thereby improving decision-making efficiency and accuracy and facilitating management and maintenance.

[0063] On the other hand, the present invention also discloses a comprehensive evaluation system for a high cleanliness filter, comprising: Data acquisition module, used to collect filter efficiency data, pressure drop data, particulate matter concentration data, working environment data and new energy vehicle operation status data; A data calculation module is used to calculate the filter energy efficiency index FEI and the filter performance decay index FPD according to the filter efficiency data; and to calculate the filter efficiency health index FES according to the filter energy efficiency index FEI and the filter performance decay index FPD; Calculate the filter pressure drop health index FPR based on the pressure drop data; Calculate the filter particle concentration index JAL based on the particle concentration data; Calculate the filter environmental impact life loss index QXK based on the working environment data, and further calculate the filter working environment health index MFD; Calculate the filter operation related health index FLC based on the new energy vehicle operation status data; The filter comprehensive performance index JDW is calculated based on the filter efficiency health index FES, the filter pressure drop health index FPR, the filter particle concentration index JAL and the filter operation related health index FLC; The data judgment module is used to preset a filter comprehensive threshold set, compare the filter comprehensive performance index JDW with the filter comprehensive threshold set, and judge the current energy efficiency level of the filter.

[0064] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware or in combination with computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0065] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0066] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A comprehensive evaluation method for high cleanliness filters, characterized in that: The following steps are involved: Step 1: Collect filter efficiency data, pressure drop data, particulate matter concentration data, working environment data and new energy vehicle operating status data; Step 2: Calculate the filter energy efficiency index FEI and the filter performance degradation index FPD based on the filter efficiency data; Calculate the filter efficiency health index FES based on the filter energy efficiency index FEI and the filter performance degradation index FPD; Calculate the filter pressure drop health index FPR based on the pressure drop data; Calculate the filter particle concentration index JAL based on the particle concentration data; Calculate the filter environmental impact life loss index QXK based on the working environment data, and further calculate the filter working environment health index MFD; Calculate the filter operation related health index FLC based on the new energy vehicle operation status data; The filter comprehensive performance index JDW is calculated based on the filter efficiency health index FES, the filter pressure drop health index FPR, the filter particle concentration index JAL and the filter operation related health index FLC; Step 3: Preset a filter comprehensive threshold set, compare the filter comprehensive performance index JDW with the filter comprehensive threshold set, and determine the current energy efficiency level of the filter.

2. The all-round evaluation method for a high-cleanliness filter according to claim 1, characterized in that: The method for calculating the filter energy efficiency index FEI and the filter performance degradation index FPD is: The filtration efficiency data includes the initial particle filtration efficiency CWQ, the current particle filtration efficiency EWQ, the minimum particle filtration efficiency ERS allowed in normal use, and the maximum particle filtration efficiency SIA allowed in normal use; The filter energy efficiency index FEI is calculated based on the initial particle filtration efficiency CWQ, the current particle filtration efficiency EWQ, the minimum particle filtration efficiency ERS allowed in normal use, and the maximum particle filtration efficiency SIA allowed in normal use. The formula is as follows: ； The filter efficiency data also includes the filter's service life TYU, the filter's half-life time RWQ and the filter's reference filter efficiency GHE; The filter performance degradation index FPD is calculated based on the initial particle filtration efficiency CWQ, the current particle filtration efficiency EWQ, the maximum particle filtration efficiency SIA allowed during normal use, the filter usage time TYU, the filter half-life time RWQ and the filter reference filtration efficiency GHE. The formula is as follows: 。 3. The all-round evaluation method for a high-cleanliness filter according to claim 2, characterized in that: The method for calculating the filter efficiency health index FES is: The filter efficiency health index FES is calculated based on the filter energy efficiency index FEI and the filter performance degradation index FPD. The formula is as follows: 。 4. The all-round evaluation method for a high-cleanliness filter according to claim 3, characterized in that: The method for calculating the filter pressure drop health index FPR is: The pressure drop data includes the current pressure drop WAC of the filter, the optimal pressure drop DWF of the filter, the maximum pressure drop FNR allowed in normal use, the minimum pressure drop BYR allowed in normal use, the initial pressure drop NTR of the filter and the rated pressure drop HEW of the filter; The filter pressure drop health index FPR is calculated based on the current filter pressure drop WAC, the filter's optimal pressure drop DWF, the maximum pressure drop FNR allowed in normal use, the minimum pressure drop BYR allowed in normal use, the filter's initial pressure drop NTR and the filter's rated pressure drop HEW. The formula is as follows: 。 5. The all-round evaluation method for a high-cleanliness filter according to claim 4, characterized in that: The method for calculating the filter particle concentration index JAL is: The particle concentration data includes the particle concentration GSS at the filter inlet, the rated intake particle concentration KWC, the maximum intake particle concentration MVI that the filter can withstand, the particle concentration JVC at the filter outlet, and the reference concentration difference JVS. The filter particle concentration index JAL is calculated based on the particle concentration GSS at the filter inlet, the rated inlet particle concentration KWC, the maximum inlet particle concentration MVI that the filter can withstand, the particle concentration JVC at the filter outlet and the reference concentration difference JVS. The formula is as follows: 。 6. The all-round evaluation method for a high-cleanliness filter according to claim 5, characterized in that: The method for calculating the filter working environment health index MFD is: Working environment data includes real-time values ​​of environmental parameters JDI i , the best working value NFJ of environmental parameters i , the maximum value of the environmental parameters that can be tolerated DCM i And the minimum value of the environmental parameter that can be tolerated XJS i ; According to the real-time value of the environment parameter JDI i , the best working value NFJ of environmental parameters i , the maximum value DCM that environmental parameters can withstand i The minimum value XJS that the environmental parameters can withstand i The formula for calculating the filter environmental impact life loss index QXK is as follows: ； Among them, JDI i is the real-time value of the i-th environmental parameter, NFJ i is the ideal working value of the i-th environmental parameter, DCM i is the maximum value that the i-th environmental parameter can bear, XJS i is the minimum value that the i-th environmental parameter can bear, i is the serial number corresponding to different environmental parameters, and its value is [1, m]; m is the number of environmental parameter types, and its value is a positive integer; The filter working environment health index MFD is calculated based on the filter environmental impact life loss index QXK, and the formula is as follows: ； Among them, α is the weight coefficient of the filter environmental impact life loss index QXK, and its value ranges from 0 to 1.

7. The all-round evaluation method for a high-cleanliness filter according to claim 6, characterized in that: The method for calculating the filter operation related health index FLC is: New energy vehicle operating status data includes motor power BVD f , the car's speed BDW f and the vehicle's maximum design speed, WEG; According to the motor power BVD f , the car's speed BDW f The filter operation related health index FLC is calculated based on the vehicle's maximum design speed WEG, and the formula is as follows: ； Among them, BVD f is the motor power at the fth sampling time, BDW f is the speed of the car at the f-th sampling time, f is the serial number corresponding to different sampling times, and its value is [1, n]; n is the sampling number, and its value is a positive integer.

8. The all-round evaluation method for a high-cleanliness filter according to claim 7, characterized in that: The method for calculating the filter comprehensive performance index JDW is: The filter comprehensive performance index JDW is calculated based on the filter efficiency health index FES, the filter pressure drop health index FPR, the filter particle concentration index JAL and the filter operation related health index FLC. The formula is as follows: 。 9. The all-round evaluation method for a high-cleanliness filter according to claim 8, characterized in that: The criteria for judging the current energy efficiency level of the filter are as follows: The filter comprehensive threshold set includes a low energy efficiency threshold MS and a high energy efficiency threshold NS; wherein the high energy efficiency threshold NS> the low energy efficiency threshold MS; Compare the filter comprehensive performance index JDW with the filter comprehensive threshold set to determine the current filter energy efficiency level as follows: 。 10. A comprehensive evaluation system for high cleanliness filters, characterized in that: include: Data acquisition module, used to collect filter efficiency data, pressure drop data, particulate matter concentration data, working environment data and new energy vehicle operation status data; A data calculation module is used to calculate the filter energy efficiency index FEI and the filter performance decay index FPD according to the filter efficiency data; and to calculate the filter efficiency health index FES according to the filter energy efficiency index FEI and the filter performance decay index FPD; Calculate the filter pressure drop health index FPR based on the pressure drop data; Calculate the filter particle concentration index JAL based on the particle concentration data; Calculate the filter environmental impact life loss index QXK based on the working environment data, and further calculate the filter working environment health index MFD; Calculate the filter operation related health index FLC based on the new energy vehicle operation status data; The filter comprehensive performance index JDW is calculated based on the filter efficiency health index FES, the filter pressure drop health index FPR, the filter particle concentration index JAL and the filter operation related health index FLC; The data judgment module is used to preset a filter comprehensive threshold set, compare the filter comprehensive performance index JDW with the filter comprehensive threshold set, and judge the current energy efficiency level of the filter.

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