An all-round evaluation method and system for a high cleanliness filter

Abstract

The present invention discloses an all-round evaluation method and system for a high-cleanliness filter, relating to the technical field of filter evaluation. The main solution is as follows: by collecting the filtration efficiency data, pressure drop data, particulate matter concentration data, working environment data and new energy vehicle operation state data of the filter, then respectively calculating the corresponding filter filtration 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. Finally, a set of comprehensive thresholds is preset and compared with the filter comprehensive performance index to judge the current energy efficiency level of the filter.

Description

Technical Field

[0001] The present invention relates to the technical field of filter evaluation, and specifically to an all-round evaluation method and system for high-cleanliness filters. Background Art

[0002] At present, with the rapid development of the new energy vehicle industry, high-cleanliness filters play a crucial role in ensuring vehicle performance and the quality of the in-vehicle environment. Their complex and diverse driving conditions and higher performance requirements for filters make traditional evaluation methods difficult to meet actual needs. Therefore, it is of great practical significance and urgent need to develop an all-round and multi-dimensional filter evaluation method and system.

[0003] Traditional filter evaluation methods have many limitations. In terms of data collection, only partial basic data of the filter are concerned, which is difficult to comprehensively reflect the working state of the filter. The process of calculating the health index by integrating multiple indexes is lacking, and the health degree of the filter cannot be comprehensively measured. The changing trend of the filter performance cannot be accurately evaluated. Based on only one or a few indicators, it is difficult to accurately locate the performance level of the filter, and the requirements for the efficient and stable operation of the filter under the complex conditions of new energy vehicles cannot be met. Summary of the Invention

[0004] (I) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides an all-round evaluation method and system for high-cleanliness filters. By collecting the filter efficiency data, pressure drop data, particulate matter concentration data, working environment data and the operating state data of new energy vehicles of the filter, and then respectively calculating the corresponding filter efficiency health index, filter pressure drop health index, filter particulate matter concentration index and filter operation correlation health index of the filter, and further calculating the comprehensive performance index of the filter, and finally presetting a set of comprehensive thresholds, comparing the comprehensive performance index of the filter with them, so as to judge the current energy efficiency level of the filter, and solving the problems that in terms of data collection, only partial basic data of the filter are concerned, which is difficult to comprehensively reflect the working state of the filter, the process of calculating the health index by integrating multiple indexes is lacking, the health degree of the filter cannot be comprehensively measured, the changing trend of the filter performance cannot be accurately evaluated, and based on only one or a few indicators, it is difficult to accurately locate the performance level of the filter, and the requirements for the efficient and stable operation of the filter under the complex conditions of new energy vehicles cannot be met.

[0006] (II) Technical Solutions

[0007] To achieve the above object, the present invention is realized through the following technical solutions: An all-round evaluation method for high-cleanliness filters, comprising the following steps:

[0008] Step 1: Collect the filtration efficiency data, pressure drop data, particulate matter concentration data, working environment data, and new energy vehicle operation status data of the filter.

[0009] Step 2: Calculate the filter filtration energy efficiency index FEI and the filter performance decay index FPD based on the filtration efficiency data; calculate the filter filtration efficiency health index FES based on the filter filtration energy efficiency index FEI and the filter performance decay index FPD;

[0010] Calculate the filter pressure drop health index FPR based on the pressure drop data;

[0011] Calculate the filter particulate matter concentration index JAL based on the particulate matter concentration data;

[0012] 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;

[0013] Calculate the filter operation-related health index FLC based on the new energy vehicle operation status data;

[0014] Calculate the filter comprehensive performance index JDW based on the filter filtration 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;

[0015] Step 3: Preset the 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.

[0016] In the preferred solution of the above-mentioned all-round evaluation method for a high cleanliness filter: The methods for calculating the filter filtration energy efficiency index FEI and the filter performance decay index FPD are as follows:

[0017] The filtration efficiency data includes the initial particulate matter filtration efficiency CWQ, the current particulate matter filtration efficiency EWQ, the minimum allowable particulate matter filtration efficiency ERS during normal use, and the maximum allowable particulate matter filtration efficiency SIA during normal use;

[0018] Calculate the filter filtration energy efficiency index FEI based on the initial particulate matter filtration efficiency CWQ, the current particulate matter filtration efficiency EWQ, the minimum allowable particulate matter filtration efficiency ERS during normal use, and the maximum allowable particulate matter filtration efficiency SIA during normal use. The formula is as follows:

[0019] ;

[0020] The filtration efficiency data also includes the usage time TYU of the filter, the half-life time RWQ of the filter, and the reference filtration efficiency GHE of the filter;

[0021] Calculate the filter performance decay index FPD based on the initial particulate filtration efficiency CWQ, the current particulate filtration efficiency EWQ, the maximum allowable particulate filtration efficiency SIA during normal use, the service time TYU of the filter, the half-life time RWQ of the filter, and the reference filtration efficiency GHE of the filter. The formula is as follows:

[0022] 。

[0023] In the preferred embodiment of the above all-round evaluation method for a high cleanliness filter: The method for calculating the filter filtration efficiency health index FES is as follows:

[0024] Calculate the filter filtration efficiency health index FES based on the filter filtration energy efficiency index FEI and the filter performance decay index FPD. The formula is as follows:

[0025] 。

[0026] In the preferred embodiment of the above all-round evaluation method for a high cleanliness filter: The method for calculating the filter pressure drop health index FPR is as follows:

[0027] The pressure drop data includes the current pressure drop WAC of the filter, the optimal pressure drop DWF of the filter, the maximum allowable pressure drop FNR during normal use, the minimum allowable pressure drop BYR during normal use, the initial pressure drop NTR of the filter, and the rated pressure drop HEW of the filter;

[0028] Calculate the filter pressure drop health index FPR based on the current pressure drop WAC of the filter, the optimal pressure drop DWF of the filter, the maximum allowable pressure drop FNR during normal use, the minimum allowable pressure drop BYR during normal use, the initial pressure drop NTR of the filter, and the rated pressure drop HEW of the filter. The formula is as follows:

[0029] 。

[0030] In the preferred embodiment of the above all-round evaluation method for a high cleanliness filter: The method for calculating the filter particulate concentration index JAL is as follows:

[0031] The particulate concentration data includes the particulate concentration GSS at the air inlet of the filter, the rated inlet particulate concentration KWC, the maximum allowable inlet particulate concentration MVI that the filter can withstand, the particulate concentration JVC at the air outlet of the filter, and the reference concentration difference JVS;

[0032] Calculate the filter particulate matter concentration index JAL based on the particulate matter concentration GSS at the air inlet of the filter, the rated inlet particulate matter concentration KWC, the maximum inlet particulate matter concentration MVI that the filter can withstand, the particulate matter concentration JVC at the air outlet of the filter, and the reference concentration difference JVS. The formula is as follows:

[0033] 。

[0034] In the preferred solution of the above all-round evaluation method for a high cleanliness filter: The method for calculating the filter working environment health index MFD is as follows:

[0035] The working environment data includes the real-time value JDI of the environmental parameters i 、the optimal working value NFJ of the environmental parameters i 、the maximum value DCM of the environmental parameters that can be tolerated i and the minimum value XJS of the environmental parameters that can be tolerated i ;

[0036] Calculate the filter environmental impact life loss index QXK based on the real-time value JDI of the environmental parameters i 、the optimal working value NFJ of the environmental parameters i 、the maximum value DCM that the environmental parameters can withstand i and the minimum value XJS that the environmental parameters can withstand i The formula is as follows:

[0037] ;

[0038] 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 withstand, 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 the value range is [1, m]; m is the number of types of environmental parameters, and the value is a positive integer;

[0039] Calculate the filter working environment health index MFD based on the filter environmental impact life loss index QXK. The formula is as follows:

[0040] ;

[0041] Among them, α is the weight coefficient of the filter environmental impact life loss index QXK, and the value range is 0 to 1.

[0042] In the preferred solution of the above all-round evaluation method for a high cleanliness filter: The method for calculating the filter operation-related health index FLC is as follows:

[0043] The operating state data of new energy vehicles includes the power BVD of the motor f , the driving speed BDW of the vehicle f and the highest designed speed WEG of the vehicle;

[0044] According to the power BVD of the motor f , the driving speed BDW of the vehicle f and the highest designed speed WEG of the vehicle, calculate the filter operation associated health index FLC, and the formula is as follows:

[0045] ;

[0046] wherein, BVD f is the power of the motor at the f-th sampling time, BDW f is the driving speed of the vehicle at the f-th sampling time, f is the serial number corresponding to different sampling times, and the value range is [1, n]; n is the number of samplings, and the value is a positive integer.

[0047] In the preferred scheme of the above-mentioned all-round evaluation method for a high cleanliness filter: the method for calculating the filter comprehensive performance index JDW is:

[0048] Calculate the filter comprehensive performance index JDW according to the filter filtration efficiency health index FES, the filter pressure drop health index FPR, the filter particle concentration index JAL and the filter operation associated health index FLC, and the formula is as follows:

[0049] .

[0050] In the preferred scheme of the above-mentioned all-round evaluation method for a high cleanliness filter: the criteria for judging the current energy efficiency level of the filter are as follows:

[0051] 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;

[0052] Compare the filter comprehensive performance index JDW with the filter comprehensive threshold set, and the criteria for judging the current energy efficiency level of the filter are as follows:

[0053] .

[0054] The present invention also discloses an all-round evaluation system for a high cleanliness filter: including:

[0055] A data acquisition module, which is used to collect the filter filtration efficiency data, pressure drop data, particle concentration data, working environment data and the operating state data of new energy vehicles;

[0056] A data calculation module, which is used to calculate the filter energy efficiency index FEI and the filter performance attenuation index FPD of the filter according to the filtration efficiency data; calculate the filter filtration efficiency health index FES according to the filter energy efficiency index FEI and the filter performance attenuation index FPD of the filter;

[0057] Calculate the filter pressure drop health index FPR according to the pressure drop data;

[0058] Calculate the filter particulate matter concentration index JAL according to the particulate matter concentration data;

[0059] Calculate the filter environmental impact life loss index QXK according to the working environment data, and further calculate the filter working environment health index MFD;

[0060] Calculate the filter operation-related health index FLC according to the new energy vehicle operation status data;

[0061] Calculate the filter comprehensive performance index JDW according to the filter filtration 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;

[0062] A data judgment module, which is used to preset a set of filter comprehensive thresholds, compare the filter comprehensive performance index JDW with the set of filter comprehensive thresholds, and judge the current energy efficiency level of the filter.

[0063] (III) Beneficial effects

[0064] The present invention provides a comprehensive evaluation method and system for a high-cleanliness filter, having the following beneficial effects:

[0065] (1) By collecting the filtration efficiency data, pressure drop data, particulate matter concentration data, working environment data and new energy vehicle operation status data of the filter, the working status of the filter in different dimensions can be comprehensively reflected, avoiding the one-sidedness of single-data evaluation, laying a foundation for subsequent accurate evaluation of the filter performance, and ensuring a comprehensive and accurate initial understanding of the filter performance.

[0066] (2) By calculating the corresponding filter filtration efficiency health index, filter pressure drop health index, filter particulate matter concentration index and filter operation-related health index, and further calculating the filter comprehensive performance index, the performance of the filter in terms of filtration efficiency, pressure drop, particulate matter concentration, environmental impact and operation correlation can be accurately analyzed, providing a quantitative basis for comprehensively evaluating the filter status, and facilitating targeted maintenance and management work.

[0067] (3) By presetting a comprehensive threshold set and making comparisons, the complex evaluation results of the filter performance are quantified into specific energy efficiency levels, providing a clear basis for decisions such as filter maintenance and replacement. This enables relevant personnel to quickly and intuitively understand the current state of the filter, and they can know whether the filter needs maintenance or replacement without professional knowledge, improving the decision-making efficiency and accuracy and facilitating management and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 It is a schematic diagram of the working steps of a comprehensive evaluation method for a high-cleanliness filter of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0069] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0070] Please refer to Figure 1 , the present invention provides a comprehensive evaluation method for a high-cleanliness filter, including the following steps:

[0071] Step 1: Collect the filtration efficiency data, pressure drop data, particulate matter concentration data, working environment data, and new energy vehicle operating status data of the filter.

[0072] When in use, in combination with the content of Step 1:

[0073] By collecting the filtration efficiency data, pressure drop data, particulate matter concentration data, working environment data, and new energy vehicle operating status data of the filter, the working status of the filter in different dimensions can be comprehensively reflected, avoiding the one-sidedness of single-data evaluation, laying a foundation for subsequent accurate evaluation of the filter performance, and ensuring a comprehensive and accurate initial understanding of the filter performance.

[0074] Step 2: Calculate the filter filtration energy efficiency index FEI and the filter performance decay index FPD according to the filtration efficiency data; calculate the filter filtration efficiency health index FES according to the filter filtration energy efficiency index FEI and the filter performance decay index FPD.

[0075] Calculate the filter pressure drop health index FPR according to the pressure drop data.

[0076] Calculate the filter particulate matter concentration index JAL according to the particulate matter concentration data.

[0077] 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.

[0078] Calculate the filter operation-related health index FLC based on the new energy vehicle operation status data.

[0079] Calculate the filter comprehensive performance index JDW based on the filter filtration 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.

[0080] Step 201: The methods for calculating the filter filtration energy efficiency index FEI and the filter performance decay index FPD are as follows:

[0081] The filtration efficiency data includes the initial particulate matter filtration efficiency CWQ, the current particulate matter filtration efficiency EWQ, the minimum allowable particulate matter filtration efficiency ERS during normal use, and the maximum allowable particulate matter filtration efficiency SIA during normal use.

[0082] It should be noted that the initial particulate matter filtration efficiency CWQ represents the filtration efficiency of the filter for particulate matter in the initial use state. By setting particulate matter concentration detectors before and after the filter under standard air flow, particulate matter size distribution and other conditions, measuring the particulate matter concentration c1 before entering the filter and the particulate matter concentration c2 after being filtered by the filter, and then calculating according to the formula: CWQ = (1 - c2 / c1) × 100%; the current particulate matter filtration efficiency EWQ represents the actual particulate matter filtration efficiency of the filter in the current use stage, which is obtained by real-time monitoring using a particulate matter concentration detector during vehicle driving; the minimum allowable particulate matter filtration efficiency ERS during normal use represents the lowest filtration efficiency value that the filter can accept under normal use conditions, which is obtained from the product technical specification; the maximum allowable particulate matter filtration efficiency SIA during normal use represents the highest particulate matter filtration efficiency value that the manufacturer sets for the filter under normal use conditions, which is obtained from the product technical specification.

[0083] Calculate the filter filtration energy efficiency index FEI based on the initial particulate matter filtration efficiency CWQ, the current particulate matter filtration efficiency EWQ, the minimum allowable particulate matter filtration efficiency ERS during normal use, and the maximum allowable particulate matter filtration efficiency SIA during normal use. The formula is as follows:

[0084] ;

[0085] It should be noted that in this formula: The ratio of the current particulate filtration efficiency to the initial particulate filtration efficiency is calculated, which reflects the relative change in the filtration efficiency of the filter from the initial use to the current moment. This part as a whole calculates the proportion of the degree to which the current filtration efficiency deviates from the minimum allowable filtration efficiency within the allowable efficiency range. Taking the square root is for the need of subsequent calculations to make the result more in line with mathematical logic and practical significance. Adding 1 to the relative position of the calculated current filtration efficiency within the allowable range aims to assign 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 situation of 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 energy efficiency status of the filter in particulate filtration, providing a quantitative basis for judging whether the performance of the filter is good and whether maintenance or replacement is needed. When the FEI value is high, it may indicate that the current filtration energy efficiency of the filter is good and still meets the use requirements; while when the FEI value is low, it may imply a decline in the filtration energy efficiency of the filter, and further inspection or timely replacement of the filter is required to ensure the normal operation of related equipment and environmental quality.

[0086] The filtration efficiency data also includes the service time TYU of the filter, the half-life time RWQ of the filter, and the reference filtration efficiency GHE of the filter.

[0087] It should be noted that the service time TYU of the filter represents the time elapsed from the start of use to the current moment, obtained by recording the installation date of the filter in the vehicle maintenance record and subtracting it from the current date; the half-life time RWQ of the filter represents the time required for the filtration efficiency of the filter to decay to half of the initial efficiency, obtained from the technical data of the product; the reference filtration efficiency GHE of the filter represents the reference value for comparison and calculation, obtained from the design document of the filter.

[0088] The filter performance decay index FPD is calculated based on the initial particulate filtration efficiency CWQ, the current particulate filtration efficiency EWQ, the maximum allowable particulate filtration efficiency SIA during normal use, the service time TYU of the filter, the half-life time RWQ of the filter, and the reference filtration efficiency GHE of the filter. The formula is as follows:

[0089] .

[0090] It should be noted that in this formula: Calculate the proportion of the difference between the initial particulate filtration efficiency and the current particulate filtration efficiency to the initial filtration efficiency, which reflects the relative decay degree of the filtration efficiency of the filter from the initial use to the current moment. The influence of the filter usage time and the half-life time on the performance decay index is considered in part; This part is mainly used to consider the influence 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 time lapse, filtration efficiency change, and the difference 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 relatively better the performance of the filter and the smaller the decay degree.

[0091] Step 202: The method for calculating the filter filtration efficiency health index FES is as follows:

[0092] Calculate the filter filtration efficiency health index FES based on the filter filtration energy efficiency index FEI and the filter performance decay index FPD. The formula is as follows:

[0093] .

[0094] It should be noted that in this formula: The value of this fraction reflects the deviation degree and direction of the filtration energy efficiency index relative to 1. Squaring it further magnifies or shrinks the influence of this value and makes the result always positive for subsequent calculation and comparison. Adding 1 to the above squared value is to avoid the situation where the denominator is 0, and at the same time adjusts the value range of the whole fraction to make it always greater than 1, which can ensure that the denominator will not appear abnormal in subsequent calculations and make the calculation result more reasonable and comparable. Reflects the influence of the filtration energy efficiency index on the filter filtration efficiency health index. With the natural constant e as the base, The exponential function with this as the exponent adjusts the final result according to the difference degree between the performance decay index and 1. Adding 1 to the value of the above exponential function is also to avoid unreasonable results in some special cases and make the value of this part always greater than 1; The larger the filter filtration efficiency health index FES value, the better the filtration efficiency health status of the filter; the smaller the FES value, the worse the filtration efficiency health status of the filter, and maintenance or replacement may be required.

[0095] Step 203: The method for calculating the filter pressure drop health index FPR is as follows:

[0096] The pressure drop data includes the current pressure drop WAC of the filter, the optimal pressure drop DWF of the filter, the maximum allowable pressure drop FNR during normal use, the minimum allowable pressure drop BYR during normal use, the initial pressure drop NTR of the filter, and the rated pressure drop HEW of the filter.

[0097] It should be noted that the current pressure drop WAC of the filter represents the pressure loss value generated when the fluid passes through the filter under the current working condition of the filter. It is obtained by measuring the pressures at the inlet and outlet of the filter in real time through a pressure sensor and then calculating the difference between the two; the optimal pressure drop DWF of the filter represents the pressure drop value at which the filter performance can reach the optimum under the ideal working condition of the filter, and it is obtained from the product technical specification manual of the filter; the maximum allowable pressure drop FNR during normal use represents the maximum pressure drop value allowed to occur during the normal use of the filter, and it is obtained from the design requirement manual of the filter; the minimum allowable pressure drop BYR during normal use represents the lower limit value of the pressure drop under the normal use condition of the filter, and it is obtained from the design requirement manual of the filter; the initial pressure drop NTR of the filter represents the pressure drop value when the filter is first put into use in a brand-new state. By using a pressure sensor to measure the pressure difference between the inlet and outlet when the fluid with a specified flow rate passes through the brand-new filter in a standard test environment, the initial pressure drop is obtained; the rated pressure drop HEW of the filter represents the standard value of the pressure drop under the rated working condition, and it is obtained from the product technical specification.

[0098] The filter pressure drop health index FPR is calculated based on the current pressure drop WAC of the filter, the optimal pressure drop DWF of the filter, the maximum allowable pressure drop FNR during normal use, the minimum allowable pressure drop BYR during normal use, the initial pressure drop NTR of the filter, and the rated pressure drop HEW of the filter. The formula is as follows:

[0099] 。

[0100] It should be noted that in this formula: The overall function is to give a relative pressure drop health index according to the deviation degree between the current pressure drop and the optimal pressure drop and the normal pressure drop range. represents an exponential function with the natural constant as the base and the ratio of the absolute value of the difference between the current pressure drop and the initial pressure drop to the rated pressure drop as the exponent, considering the influence of the change of the filter pressure drop over time on the health index. The greater the change in the pressure drop, the greater the influence on the health index. Introduce a non-linear influencing factor to further adjust the pressure drop health index according to the ratio relationship between the current pressure drop and the optimal pressure drop, making the evaluation more comprehensive and detailed; the larger the value of the filter pressure drop health index FPR, the better the pressure drop health condition of the filter; the smaller the value of FPR, the worse the pressure drop health condition of the filter.

[0101] Step 204: The method for calculating the filter particulate matter concentration index JAL is as follows:

[0102] The particulate matter concentration data includes the particulate matter concentration GSS at the air inlet of the filter, the rated inlet particulate matter concentration KWC, the maximum inlet particulate matter concentration MVI that the filter can withstand, the particulate matter concentration JVC at the air outlet of the filter, and the reference concentration difference JVS.

[0103] It should be noted that the particulate matter concentration GSS at the air inlet of the filter represents the concentration of particulate matter contained in the air before entering the filter, which is measured by a laser dust meter; the rated inlet particulate matter concentration KWC represents the standard value of the inlet particulate matter concentration allowed under the normal working conditions specified during the design and manufacture of the filter, which is obtained from the product manual; the maximum inlet particulate matter concentration MVI that the filter can withstand represents the upper limit value of the inlet particulate matter concentration that the filter can withstand without affecting its normal function and service life, which is obtained from the technical data manual of the product; the particulate matter concentration JVC at the air outlet of the filter represents the concentration of particulate matter contained in the air discharged from the air outlet after being filtered by the filter, which is measured by a laser dust meter; the reference concentration difference JVS represents the reference value used for calculation and comparison, which is obtained from the relevant technical document manual.

[0104] The filter particulate matter concentration index JAL is calculated based on the particulate matter concentration GSS at the air inlet of the filter, the rated inlet particulate matter concentration KWC, the maximum inlet particulate matter concentration MVI that the filter can withstand, the particulate matter concentration JVC at the air outlet of the filter, and the reference concentration difference JVS. The formula is as follows:

[0105] 。

[0106] It should be noted that in this formula: Mainly focus on the relationship between the inlet particulate matter concentration and the rated value and the maximum tolerance value, evaluate the impact of the inlet particulate matter concentration on the filter. The square operation makes the change of the numerator more prominent in the whole fraction. According to the relationship between the particulate matter concentration at the air outlet and the rated inlet particulate matter concentration, measure the filtering effect of the filter. Cubing will more significantly amplify the change of this ratio. Highlight the difference in the filtering ability of the filter for particulate matter, further adjust the filter particulate matter concentration index to make the index more accurately reflect the performance of the filter. The fourth power can more significantly reflect the difference degree of the filtering effect of the filter under different conditions.

[0107] Step 205: The method for calculating the filter working environment health index MFD is as follows:

[0108] The working environment data includes the real-time value JDI of the environmental parameters i 、the optimal working value NFJ of the environmental parameters i 、the maximum value DCM of the environmental parameters that can be toleratedi and the minimum value XJS of the tolerable environmental parameters i .

[0109] It should be noted that the real-time value JDI of the environmental parameter i represents the actual measured value of the i-th environmental parameter in the environment where the filter is located at the current moment. For example, environmental parameters such as temperature, humidity, air pressure, light intensity, and wind speed are obtained through various sensors installed in the working environment of the filter. For example, a temperature sensor is used to measure the environmental temperature, a humidity sensor measures the environmental humidity, a piezoelectric pressure sensor is used to measure the environmental air pressure, a photoresistive sensor is used to measure the environmental light intensity, and an ultrasonic wind speed sensor is used to measure the environmental wind speed, etc.; the optimal working value NFJ of the environmental parameter i represents the optimal value that the i-th environmental parameter should reach under the ideal working state of the filter, and is obtained from the product manual of the filter; the maximum value DCM of the tolerable environmental parameter i represents the upper limit value that the i-th environmental parameter can tolerate without affecting its normal function and service life, and is obtained from the technical data of the product; the minimum value XJS of the tolerable environmental parameter i represents the lower limit value of the i-th environmental parameter under normal working conditions of the filter, and is obtained from the technical data of the product.

[0110] According to the real-time value JDI of the environmental parameter i , the optimal working value NFJ of the environmental parameter i , the maximum value DCM that the environmental parameter can tolerate i and the minimum value XJS that the environmental parameter can tolerate i calculate the environmental impact life loss index QXK of the filter, and the formula is as follows:

[0111] ;

[0112] where 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 tolerate, XJS i is the minimum value that the i-th environmental parameter can tolerate, i is the serial number corresponding to different environmental parameters, and the value range is [1, m]; m is the number of environmental parameter types, and the value is a positive integer.

[0113] It should be noted that in this formula: It represents the proportion of the deviation of the current environmental parameters from the optimal working value within the acceptable range. Subtracting the above fraction from 1, the obtained value represents the reverse index of the degree of influence on the filter due to the deviation of the environmental parameters from the optimal working value under the i-th environmental parameter. It means multiplying all values from i = 1 to i = m. The purpose of the multiplication is to comprehensively consider the combined influence of all environmental parameters on the filter. Subtracting the above multiplication result from 1, the filter environmental impact life loss index QXK is obtained. This index can help users and maintenance personnel intuitively understand the life loss situation of the filter under the current environmental conditions and provide an important reference basis for the use, maintenance, and management of the filter.

[0114] Calculate the filter working environment health index MFD according to the filter environmental impact life loss index QXK. The formula is as follows:

[0115] ;

[0116] Among them, α is the weight coefficient of the filter environmental impact life loss index QXK, which is determined according to the degree of influence of the filter environmental impact life loss index QXK on the filter working environment health index MFD, and its value ranges from 0 to 1.

[0117] It should be noted that in this formula: The weight coefficient α is multiplied by QXK as an exponent, which plays a role in adjusting the weight and sensitivity of the environmental impact in the whole formula. Adding 1 to the above exponential function value can ensure that the denominator will not appear abnormal in subsequent calculations and make the calculation results more reasonable and comparable. Taking the square root is mainly to further adjust and scale the result so that the value range of the finally obtained filter working environment health index is in a more appropriate range, which is convenient for understanding and comparison; the larger the value of MFD, the healthier the working environment of the filter and the smaller the negative impact on the filter life; the smaller the value of MFD, the greater the impact of the working environment on the filter life and the poorer the environmental health condition.

[0118] Step 206: The method for calculating the filter operation-related health index FLC is as follows:

[0119] The operating state data of new energy vehicles includes the power BVD of the motor f , the driving speed BDW of the vehicle f and the maximum designed speed WEG of the vehicle.

[0120] It should be noted that the power BVD of the motor f represents the power of the motor at the f-th sampling time and is obtained through the vehicle's electronic control system; the driving speed BDW of the vehiclef BDW represents the driving speed of the vehicle at the f-th sampling time, which is measured by a speed sensor; the maximum designed speed WEG of the vehicle represents the theoretical maximum driving speed determined during the design phase of the vehicle and is obtained from the vehicle's technical specification sheet.

[0121] According to the power BVD of the motor f and the driving speed BDW of the vehicle f and the maximum designed speed WEG of the vehicle, calculate the filter operation related health index FLC. The formula is as follows:

[0122] ;

[0123] where BVD f is the power of the motor at the f-th sampling time, BDW f is the driving speed of the vehicle at the f-th sampling time, f is the serial number corresponding to different sampling times, and the value range is [1, n]; n is the number of sampling times, and the value is a positive integer.

[0124] It should be noted that in this formula: This comprehensively considers the two factors of the motor power and the vehicle driving speed, and through the ratio with the maximum designed speed, normalizes the driving speed, making the speed factors between different vehicle models comparable. Summing the product results of all sampling times can obtain the cumulative value of the comprehensive influence of the motor power and the normalized driving speed within a period of time. It calculates the average motor power, which reflects the average level of the motor power during the entire sampling period; dividing the two gives the filter operation related health index FLC. This index can help users and maintenance personnel understand the relationship between the vehicle operation status and the filter health, and provide a reference basis for the maintenance, servicing, and fault diagnosis of the filter.

[0125] Step 207: The method for calculating the filter comprehensive performance index JDW is as follows:

[0126] Calculate the filter comprehensive performance index JDW according to the filter filtration 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:

[0127] .

[0128] It should be noted that in this formula: by adding the filter efficiency health index, the filter pressure drop health index, the filter particulate matter concentration index, and the filter operation correlation health index, the filter comprehensive performance index is calculated, which 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, indicating excellent comprehensive performance; the smaller the JDW value, the more problems the filter may have in these aspects, indicating poor comprehensive performance.

[0129] When in use, combine the content of steps 201 to 207:

[0130] 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 performance of the filter in terms of filtration efficiency, pressure drop, particulate matter concentration, environmental impact, and operation correlation can be accurately analyzed, providing a quantitative basis for comprehensively evaluating the filter status, which is beneficial to carrying out maintenance and management work targeted.

[0131] Step 3: Preset the 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.

[0132] Step 301: Preset the filter comprehensive threshold set, and the criteria are as follows:

[0133] By collecting data of a number of unused qualified filters, calculate their filter comprehensive performance index JDW, calculate the average value, and take the value at the 80th percentile of the average value as the high energy efficiency threshold NS; take the value at the 40th percentile of the average value as the low energy efficiency threshold MS, and the high energy efficiency threshold NS > the low energy efficiency threshold MS.

[0134] Step 302: The criteria for judging the current energy efficiency level of the filter are as follows:

[0135] The filter comprehensive threshold set includes the low energy efficiency threshold MS and the high energy efficiency threshold NS; among them, the high energy efficiency threshold NS > the low energy efficiency threshold MS;

[0136] Compare the filter comprehensive performance index JDW with the filter comprehensive threshold set, and the criteria for judging the current energy efficiency level of the filter are as follows:

[0137] .

[0138] It should be noted that when in the low energy efficiency level, the first coping strategy is: immediately replace the filter to ensure the safety and performance of the equipment; when in the medium energy efficiency level, the second coping strategy is: strengthen monitoring and maintenance. During the maintenance process, check all aspects of the filter more carefully, such as checking for blockages, damages, etc., to ensure that its performance will not deteriorate further and guarantee the stable operation of the equipment; when in the high energy efficiency level, the third coping strategy is: continue to use normally, but still need to monitor regularly.

[0139] During use, combine the content of steps 301 to 302:

[0140] By presetting a comprehensive threshold set and making comparisons, the complex evaluation results of the filter performance are quantified into specific energy efficiency levels, providing a clear basis for decisions such as the maintenance and replacement of the filter, enabling relevant personnel to quickly and intuitively understand the current state of the filter, and knowing whether the filter needs maintenance or replacement without professional knowledge, improving the decision-making efficiency and accuracy, and facilitating management and maintenance.

[0141] On the other hand, the present invention also discloses an all-round evaluation system for a high cleanliness filter, including:

[0142] A data acquisition module for acquiring the filtration efficiency data, pressure drop data, particulate matter concentration data, working environment data, and new energy vehicle operating status data of the filter;

[0143] A data calculation module for calculating the filter filtration energy efficiency index FEI and the filter performance attenuation index FPD according to the filtration efficiency data; calculating the filter filtration efficiency health index FES according to the filter filtration energy efficiency index FEI and the filter performance attenuation index FPD;

[0144] Calculating the filter pressure drop health index FPR according to the pressure drop data;

[0145] Calculating the filter particulate matter concentration index JAL according to the particulate matter concentration data;

[0146] Calculating the filter environmental impact life loss index QXK according to the working environment data and further calculating the filter working environment health index MFD;

[0147] Calculating the filter operation-related health index FLC according to the new energy vehicle operating status data;

[0148] Calculating the filter comprehensive performance index JDW according to the filter filtration 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;

[0149] A data judgment module is used to preset a set of comprehensive filter thresholds, compare the comprehensive performance index JDW of the filter with the set of comprehensive filter thresholds, and judge the current energy efficiency level of the filter.

[0150] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those of ordinary skill in the art will realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution.

[0151] 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 to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0152] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or substitutions, which should all be covered by 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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