A system and method for thermal management system expansion valve and filter clogging diagnostics

Abstract

The application relates to a system and method for diagnosing an expansion valve and filter blockage of a thermal management system, wherein the method comprises the following steps: acquiring an expansion valve outlet pressure, an expansion valve inlet pressure, a filter inlet pressure, a heat exchanger inlet air temperature and a condenser inlet air temperature; and obtaining a predicted blockage condition of the expansion valve and a predicted blockage condition of the filter according to the expansion valve outlet pressure, the expansion valve inlet pressure, the filter inlet pressure, the heat exchanger inlet air temperature and the condenser inlet air temperature. Through the application, the problem of low accuracy of blockage condition determination in the thermal management system is solved, and the accuracy of blockage condition determination in the thermal management system is improved.

Description

Technical Field

[0001] This application relates to the field of thermal management, and in particular to a system and method for diagnosing blockages in expansion valves and filters of a thermal management system. Background Technology

[0002] Trams are primarily powered by overhead contact lines. In the absence of such lines, trams must operate using built-in energy storage devices. Supercapacitor modules, as the main energy storage component, are a crucial part of tram systems. Therefore, a thermal management system that ensures the proper functioning of these modules is of paramount importance. Blockages in the operating components of the thermal management system are a common type of malfunction.

[0003] The related technology discloses a whole vehicle thermal management system and device for a tram, specifically disclosing a refrigerant circuit for temperature regulation of controlled components; the refrigerant circuit includes an external heat exchanger and a controlled component heat exchanger, the external heat exchanger is used for heat exchange between the refrigerant circuit and the outside of the tram, and the controlled component heat exchanger is used for heat exchange between the refrigerant circuit and the controlled components, wherein the controlled components include: a traction system, a supercapacitor, and a passenger cabin; the controlled component heat exchanger includes a traction heat exchanger, a supercapacitor heat exchanger, and a passenger cabin heat exchanger, and the external heat exchanger, traction heat exchanger, supercapacitor heat exchanger, and passenger cabin heat exchanger are connected in parallel.

[0004] However, the relevant technologies have low accuracy in determining blockages in thermal management systems, making maintenance and troubleshooting difficult and time-consuming. No effective solution has yet been proposed. Summary of the Invention

[0005] This application provides a system and method for diagnosing blockages in expansion valves and filters of a thermal management system, thereby at least solving the problem of low accuracy in determining blockages in thermal management systems in related technologies.

[0006] In a first aspect, embodiments of this application provide a system for diagnosing blockages in expansion valves and filters of a thermal management system, the thermal management system comprising: a heat exchanger, an expansion valve, a filter, a condenser, and a compressor;

[0007] The heat exchanger is located inside the supercapacitor module. The heat exchanger inlet is connected to the expansion valve outlet, the heat exchanger outlet is connected to the compressor inlet, the expansion valve inlet is connected to the filter outlet, the filter inlet is connected to the condenser outlet, and the condenser inlet is connected to the compressor outlet.

[0008] The diagnostic system includes a data acquisition module and a data processing module;

[0009] The data acquisition module includes:

[0010] First pressure sensor: Located at the outlet end of the expansion valve, used to measure the outlet pressure of the expansion valve;

[0011] Second pressure sensor: installed at the inlet of the expansion valve, used to measure the inlet pressure of the expansion valve;

[0012] The third pressure sensor is located at the filter inlet and is used to measure the filter inlet pressure.

[0013] First temperature sensor: installed at the air inlet of the heat exchanger, used to measure the air inlet temperature of the heat exchanger;

[0014] Second temperature sensor: installed at the air inlet of the condenser, used to measure the air inlet temperature of the condenser;

[0015] First data acquisition unit: connected to the expansion valve, used to measure the opening degree of the expansion valve;

[0016] Second acquisition unit: connected to the compressor, used to measure the compressor's operating frequency;

[0017] The data processing module is connected to the data acquisition module to acquire the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature data measured by the data acquisition module, and obtain the predicted blockage status of the expansion valve and the filter based on the aforementioned data.

[0018] This application provides a system for diagnosing blockages in expansion valves and filters within a thermal management system. By measuring the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, the system can obtain predicted blockage levels for the expansion valve and filter based on changes in these values. This improves the accuracy of blockage assessment in the thermal management system.

[0019] In some embodiments, a system for diagnosing clogging of expansion valves and filters in a thermal management system further includes:

[0020] The adjustment module communicates with the data acquisition module to obtain the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, expansion valve opening degree and compressor operating frequency. Based on the expansion valve outlet pressure, expansion valve inlet pressure and filter inlet pressure, the expansion valve opening degree is adjusted to a first threshold. After the expansion valve opening degree is adjusted to the first threshold, the compressor operating frequency is adjusted to a second operating frequency.

[0021] The preprocessing module communicates with the data acquisition module and the data processing module. It receives data on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature measured by the data acquisition module. It filters out invalid and abnormal data from the aforementioned data and sends the filtered data on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature to the data processing module.

[0022] The adjustment module adjusts the opening of the expansion valve and the operating frequency of the compressor to achieve more ideal conditions, making it easier for the data acquisition module to measure and obtain more effective data.

[0023] Because the data acquisition module measures a large amount of data, some values ​​are inaccurate, affecting the accuracy of the diagnostic system's assessment of blockages in the thermal management system. The preprocessing module preprocesses the data measured by the data acquisition module, including expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, filtering out invalid and abnormal data. Processing and filtering the data improves the accuracy of the diagnostic system's assessment of blockages in the thermal management system.

[0024] In some embodiments, a system for diagnosing expansion valve and filter blockage in a thermal management system further includes:

[0025] The data integration module communicates with the data processing module, receives the predicted clogging status of the expansion valve and the filter, and combines the historical judgment thresholds of the expansion valve and the filter to further process the predicted clogging status of the expansion valve and the filter to obtain the final clogging results of the expansion valve and the filter.

[0026] The data feedback module communicates with the data integration module to obtain the final clogging results of the expansion valve and the filter.

[0027] The maintenance center communicates with the data feedback module to receive and display the final clogging results of the expansion valve and the filter.

[0028] The data integration module further processes the predicted clogging conditions of the expansion valve and the filter, using historical judgment thresholds for both to obtain the final clogging results. By combining the predicted clogging conditions with historical experience values, the final clogging results of the expansion valve and the filter can be obtained with greater accuracy.

[0029] The data feedback module serves to transmit information, sending the data from the data integration module to the maintenance center.

[0030] The maintenance center receives and displays the final blockage results of the expansion valve and the filter, so that staff can clearly understand the status of the thermal management system.

[0031] Secondly, embodiments of this application provide a method for diagnosing blockages in expansion valves and filters of a thermal management system, including:

[0032] Obtain the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature;

[0033] Based on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, the predicted clogging status of the expansion valve and the filter is obtained.

[0034] By measuring the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, and using real-time measured and changing data, the predicted blockage status of the expansion valve and filter can be obtained, which helps to improve the accuracy of blockage determination in the thermal management system.

[0035] In some embodiments, the predicted clogging status of the expansion valve and the filter is obtained based on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, including:

[0036] calculate

[0037] calculate

[0038] calculate And E2 = log b Q2, obtain the predicted clogging status of the E1 expansion valve and the predicted clogging status of the E2 filter;

[0039] Where Q1 is the combined contribution of the expansion valve inlet pressure, expansion valve outlet pressure, filter inlet pressure, condenser inlet air temperature, and heat exchanger inlet air temperature during the blockage detection period; Q2 is the combined contribution of the filter inlet pressure, expansion valve outlet pressure, filter inlet pressure, condenser inlet air temperature, and heat exchanger inlet air temperature during the blockage detection period; P1(t) is the function of the expansion valve outlet pressure in the time domain; P2(t) is the function of the expansion valve inlet pressure in the time domain; P3(t) is the function of the filter inlet pressure in the time domain; k1 is the coefficient of the area formed by pressure curves P3 and P2 during the time period from t0 to t1; k2 is... k3 is the coefficient of the area formed by pressure curves P3 and P2 during the time interval t1 to t2, k4 is the coefficient of the area formed by pressure curves P2 and P1 during the time interval t0 to t1, k5 is the coefficient of the expansion valve blockage contribution value Q1, k6 is the coefficient of T1, k7 is the coefficient of T2, T1 is the condenser inlet air temperature, T2 is the heat exchanger inlet air temperature, t is any time during system operation, t0 is the first system operation time, t1 is the second system operation time, t2 is the third system operation time, t2>t1>t0, a is the base of the exponential function, a>1, b is the base of the logarithmic function, b>1.

[0040] By processing the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature obtained at different time periods, the predicted blockage status of the expansion valve and filter can be obtained. This can better reflect the blockage status in the thermal management system, thereby improving the accuracy of blockage determination in the thermal management system.

[0041] In some embodiments, before obtaining the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, the method further includes:

[0042] Adjust the opening of the expansion valve to the first threshold based on the expansion valve outlet pressure, expansion valve inlet pressure, and filter inlet pressure.

[0043] After adjusting the expansion valve opening to the first threshold, during the process from t0 to t1, the compressor operating frequency is uniformly adjusted from the first operating frequency to the second operating frequency.

[0044] During the process from t1 to t2, the compressor operating frequency remains at the second operating frequency;

[0045] The first operating frequency is less than the second operating frequency.

[0046] Adjusting the expansion valve opening and compressor operating frequency to achieve more ideal conditions facilitates more effective data measurement by the data acquisition module.

[0047] In some embodiments, adjusting the opening of the expansion valve to a first threshold based on the expansion valve outlet pressure, the expansion valve inlet pressure, and the filter inlet pressure includes:

[0048] calculate

[0049] exist In this case, adjust the opening of the expansion valve to the first threshold.

[0050] Among them, P i Indicates the pressure values: when i = 1, P1 is the outlet pressure of the expansion valve; when i = 2, P2 is the inlet pressure of the expansion valve; when i = 3, P3 is the inlet pressure of the filter; P... v1 P is the first pressure judgment threshold. v2 This is the second pressure judgment threshold.

[0051] Determine if the expansion valve outlet pressure, expansion valve inlet pressure, and filter inlet pressure are within acceptable limits. Conditions, under which Under certain conditions, this diagnostic method is more suitable for the thermal management system of supercapacitor modules in trams, resulting in more accurate calculation results.

[0052] In some embodiments, before obtaining the predicted clogging status of the expansion valve and the predicted clogging status of the filter based on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, the method further includes:

[0053] Based on the Local Anomaly Factor (LOF) algorithm, the data of expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature are processed in the time domain to filter and remove invalid and abnormal data.

[0054] Because the data acquisition module measures a large amount of data, some values ​​are inaccurate, affecting the accuracy of the diagnostic system's assessment of blockages in the thermal management system. The preprocessing module preprocesses the data measured by the data acquisition module, including expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, filtering out invalid and abnormal data. Processing and filtering the data improves the accuracy of the diagnostic system's assessment of blockages in the thermal management system.

[0055] In some embodiments, a method for diagnosing blockages in expansion valves and filters of a thermal management system further includes:

[0056] Based on the historical judgment thresholds of the expansion valve and the filter, as well as the predicted clogging status of the expansion valve and the filter, the final clogging results of the expansion valve and the filter are obtained.

[0057] The predicted clogging conditions of the expansion valve and filter are further processed, and the final clogging results of the expansion valve and filter are obtained by using historical judgment thresholds for these parameters. Combining real-time predicted clogging conditions with historical experience values ​​allows for a better assessment of the expansion valve and filter conditions, thereby improving the accuracy of the diagnostic system in determining clogging in the thermal management system.

[0058] In some embodiments, the final clogging results of the expansion valve and the filter are obtained based on the historical judgment thresholds of the expansion valve and the filter, the predicted clogging status of the expansion valve and the predicted clogging status of the filter, including:

[0059] calculate

[0060] calculate

[0061] calculate Obtain the final clogging results for the E expansion valve and the filter;

[0062] in, x is E 1l or E 2l E r1 The threshold for determining expansion valve blockage is defined as follows: E1(t) is the t-th expansion valve blockage diagnosis value during operation, and E1(0) is the initial expansion valve blockage diagnosis value during operation. r1 E is the historical judgment threshold for the expansion valve. r2 Here, E2(t) represents the threshold for judging filter clogging, E2(t) is the t-th filter clogging diagnosis value during operation, and E2(0) is the initial filter clogging diagnosis value during operation. r2 Here, t represents the historical threshold for filter judgment, and E represents the number of blockage diagnoses during operation. 1l For the final blockage condition of the expansion valve, E 2l This represents the final clogging status of the filter.

[0063] By combining real-time predicted blockage conditions, historical judgment thresholds, and blockage assessment thresholds, the condition of expansion valves and filters can be further analyzed. This helps to obtain more accurate final blockage results for both expansion valves and filters, thereby improving the accuracy of the diagnostic system in determining blockage conditions in the thermal management system.

[0064] Compared to related technologies, the system and method for diagnosing blockages in expansion valves and filters in a thermal management system provided in this application, by measuring the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, condenser inlet air temperature, and heat exchanger inlet air temperature, can obtain the predicted blockage status of the expansion valve and filter through changes in these values. This, in turn, improves the accuracy of blockage determination in the thermal management system.

[0065] Details of one or more embodiments of this application are set forth in the following drawings and description to make other features, objects and advantages of this application more readily apparent. Attached Figure Description

[0066] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0067] Figure 1 This is a system structure diagram of the thermal management system expansion valve and filter blockage diagnosis according to an embodiment of this application;

[0068] Figure 2 This is a system structure diagram of expansion valve and filter blockage diagnosis in another thermal management system according to an embodiment of this application;

[0069] Figure 3 This is a system structure diagram of expansion valve and filter blockage diagnosis in another thermal management system according to an embodiment of this application;

[0070] Figure 4 This is a system structure diagram of expansion valve and filter blockage diagnosis in another thermal management system according to an embodiment of this application;

[0071] Figure 5 This is a flowchart of a method for diagnosing blockages in expansion valves and filters of a thermal management system according to an embodiment of this application;

[0072] Figure 6 This is a flowchart of a method for diagnosing blockage of expansion valves and filters in a thermal management system according to an embodiment of this application;

[0073] Figure 7 This is a flowchart of a method for diagnosing blockage of expansion valves and filters in a thermal management system according to an embodiment of this application;

[0074] Figure 8 This is a flowchart of a method for diagnosing blockage of expansion valves and filters in a thermal management system according to an embodiment of this application;

[0075] Figure 9This is a schematic diagram of the hardware structure of the thermal management system expansion valve and filter blockage diagnostic device according to an embodiment of this application;

[0076] Figure 10 These are the time-domain function curves of the expansion valve outlet pressure, expansion valve inlet pressure, and filter inlet pressure.

[0077] In the diagram: 1. First temperature sensor; 2. Supercapacitor module; 3. First pressure sensor; 4. Second pressure sensor; 5. Third pressure sensor; 6. Second temperature sensor; 7. Condenser; 8. Compressor; 9. Filter; 10. Expansion valve; 11. Heat exchanger. Detailed Implementation

[0078] To make the objectives, technical solutions, and advantages of this application clearer, the application is described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0079] Obviously, the accompanying drawings described below are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios based on these drawings without any inventive effort. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, any changes to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.

[0080] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0081] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms “a,” “an,” “an,” “the,” and similar words used in this application do not indicate quantity limitation and may indicate singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to these processes, methods, products, or devices. The terms “connected,” “linked,” “coupled,” and similar words used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following objects are in an "or" relationship. The terms "first," "second," and "third" used in this application are merely to distinguish similar objects and do not represent a specific ordering of the objects.

[0082] Combination Figures 1-2 This embodiment provides a system for diagnosing blockages in expansion valves and filters of a thermal management system, including: a thermal management system and a diagnostic system.

[0083] The thermal management system includes: a heat exchanger 11, an expansion valve 10, a filter 9, a condenser 7, and a compressor 8. The heat exchanger 11 is located inside the supercapacitor module 2. The inlet of the heat exchanger 11 is connected to the outlet of the expansion valve 10, and the outlet of the heat exchanger 11 is connected to the inlet of the compressor 8. The inlet of the expansion valve 10 is connected to the outlet of the filter 9, the inlet of the filter 9 is connected to the outlet of the condenser 7, and the inlet of the condenser 7 is connected to the outlet of the compressor 8.

[0084] The diagnostic system includes a data acquisition module and a data processing module.

[0085] The data acquisition module includes: a first pressure sensor, located at the outlet of expansion valve 10, for measuring the outlet pressure of expansion valve 10; a second pressure sensor, located at the inlet of expansion valve 10, for measuring the inlet pressure of expansion valve 10; a third pressure sensor, located at the inlet of filter 9, for measuring the inlet pressure of filter 9; a first temperature sensor, located at the air inlet of heat exchanger 11, for measuring the air inlet temperature of heat exchanger 11; a second temperature sensor, located at the air inlet of condenser 7, for measuring the air inlet temperature of condenser 7; a first acquisition unit, connected to expansion valve 10, for measuring the opening degree of expansion valve 10; and a second acquisition unit, connected to compressor 8, for measuring the operating frequency of compressor 8.

[0086] The data processing module is connected to the data acquisition module to acquire the data of the expansion valve 10 outlet pressure, expansion valve 10 inlet pressure, filter 9 inlet pressure, heat exchanger 11 inlet air temperature, and condenser 7 inlet air temperature measured by the data acquisition module. Based on the data of the expansion valve 10 outlet pressure, expansion valve 10 inlet pressure, filter 9 inlet pressure, heat exchanger 11 inlet air temperature, and condenser 7 inlet air temperature, the predicted blockage status of the expansion valve 10 and the filter 7 is obtained.

[0087] This application provides a system for diagnosing blockages in expansion valves and filters within a thermal management system. By measuring the outlet pressure of expansion valve 10, the inlet pressure of expansion valve 10, the inlet pressure of filter 9, the inlet air temperature of condenser 7, and the inlet air temperature of heat exchanger 11, the system can obtain predicted blockage conditions of expansion valve 10 and filter 9 based on changes in these values. This improves the accuracy of blockage determination in the thermal management system.

[0088] Combination Figure 3 The system for diagnosing blockages in expansion valves and filters of a thermal management system provided in this embodiment also includes an adjustment module and a pretreatment module.

[0089] The adjustment module communicates with the data acquisition module to obtain the outlet pressure of expansion valve 10, the inlet pressure of expansion valve 10, the inlet pressure of filter 9, the opening degree of expansion valve 10, and the operating frequency of compressor 8. Based on the outlet pressure of expansion valve 10, the inlet pressure of expansion valve 10, and the inlet pressure of filter 9, the opening degree of expansion valve 10 is adjusted to a first threshold. After the opening degree of expansion valve 10 is adjusted to the first threshold, the operating frequency of compressor 8 is adjusted to a second operating frequency.

[0090] The preprocessing module communicates with the data acquisition module and the data processing module. It receives data on the outlet pressure of expansion valve 10, the inlet pressure of expansion valve 10, the inlet pressure of filter 9, the inlet air temperature of heat exchanger 11, and the inlet air temperature of condenser 7 measured by the data acquisition module. It filters out invalid and abnormal data from the aforementioned data and sends the filtered data on the outlet pressure of expansion valve 10, the inlet pressure of expansion valve 10, the inlet pressure of filter 9, the inlet air temperature of heat exchanger 11, and the inlet air temperature of condenser 7 to the data processing module.

[0091] The adjustment module adjusts the opening degree of expansion valve 10 and the operating frequency of compressor 8 to achieve more ideal conditions, making it easier for the data acquisition module to obtain more effective data.

[0092] Because the data acquisition module measures a large amount of data, some values ​​are inaccurate, affecting the accuracy of the diagnostic system's determination of blockages in the thermal management system. The preprocessing module preprocesses the data measured by the data acquisition module, including the outlet pressure of expansion valve 10, the inlet pressure of expansion valve 10, the inlet pressure of filter 9, the inlet air temperature of heat exchanger 11, and the inlet air temperature of condenser 7, filtering out invalid and abnormal data. Processing and filtering the data improves the accuracy of the diagnostic system's determination of blockages in the thermal management system.

[0093] Combination Figure 4 The system for diagnosing blockages in expansion valves and filters of a thermal management system provided in this embodiment also includes: a data integration module, a data feedback module, and a maintenance center.

[0094] The data integration module communicates with the data processing module, receives the predicted clogging status of the expansion valve 10 and the predicted clogging status of the filter 9, and, in conjunction with the historical judgment thresholds of the expansion valve 10 and the filter 9, reprocesses the predicted clogging status of the expansion valve 10 and the filter 9 to obtain the final clogging result of the expansion valve 10 and the final clogging result of the filter 9.

[0095] The data feedback module communicates with the data integration module to obtain the final blockage results of the expansion valve 10 and the filter 9.

[0096] The maintenance center communicates with the data feedback module to receive and display the final blockage results of the expansion valve 10 and the filter 9.

[0097] The data integration module further processes the predicted clogging status of expansion valve 10 and filter 9, and uses the historical judgment thresholds of expansion valve 10 and filter 9 to obtain the final clogging results of expansion valve 10 and filter 9. By combining the predicted clogging status with historical experience values, the final clogging results of expansion valve 10 and filter 9 can be obtained more accurately.

[0098] The data feedback module serves to transmit information, sending the data from the data integration module to the maintenance center.

[0099] The maintenance center receives and displays the final blockage results of expansion valve 10 and filter 9, allowing staff to clearly understand the status of the thermal management system. This facilitates the maintenance of the vehicle's thermal management system, avoids the significant resources consumed by on-site disassembly and inspection, and eliminates unnecessary scheduled maintenance, thereby improving maintenance efficiency.

[0100] In practical applications, this embodiment provides a system for diagnosing blockages in expansion valves and filters within a thermal management system. The system comprises a thermal management system, a data conversion gateway, a cloud server, and a ground maintenance center. The thermal management system includes the heat exchanger 11, expansion valve 10, filter 9, condenser 7, and compressor 8, as well as a regulating module and a data acquisition module. The data conversion gateway transmits data measured by the data acquisition module to the cloud server. The cloud server stores and analyzes the data. The cloud server includes a preprocessing module, a data processing module, a data integration module, and a data feedback module. The cloud server transmits the calculated final blockage results for expansion valve 10 and filter 9 to the maintenance center. The maintenance center receives and displays the final blockage results for expansion valve 10 and filter 9, enabling staff to quickly and accurately analyze the current status of the thermal management system. Based on the information transmitted from the cloud server and in conjunction with local vehicle maintenance protocols and plans, the maintenance center performs repairs and maintenance.

[0101] The cloud server stores the calculated predicted blockage levels of expansion valve 10 and filter 9, as well as the final blockage results of expansion valve 10 and filter 9, forming historical data. By comparing historical data with real-time data, feedback is provided on the current and future operating trends of the thermal management system. This helps prevent slow blockage of expansion valve 10 and filter 9 from causing compressor damage.

[0102] This embodiment provides a method for diagnosing blockages in expansion valves and filters of a thermal management system. Figure 5 This is a flowchart illustrating a method for diagnosing blockages in expansion valves and filters of a thermal management system according to an embodiment of this application. Figure 5 As shown, the process includes the following steps:

[0103] Step S501: The data acquisition module acquires the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature.

[0104] In step S502, the data processing module obtains the predicted blockage status of the expansion valve and the predicted blockage status of the filter based on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature.

[0105] By taking the steps described above and measuring the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, the predicted blockage status of the expansion valve and filter can be obtained using real-time measured data. This helps improve the accuracy of blockage assessment in the thermal management system.

[0106] In some embodiments, the predicted clogging status of the expansion valve and the filter is obtained based on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, including:

[0107] calculate

[0108] calculate

[0109] calculate And E2 = log b Q2, obtain the predicted clogging status of the E1 expansion valve and the predicted clogging status of the E2 filter.

[0110] Where Q1 is the combined contribution of the expansion valve inlet pressure, expansion valve outlet pressure, filter inlet pressure, condenser inlet air temperature, and heat exchanger inlet air temperature during the blockage detection period; Q2 is the combined contribution of the filter inlet pressure, expansion valve outlet pressure, filter inlet pressure, condenser inlet air temperature, and heat exchanger inlet air temperature during the blockage detection period; P1(t) is the function of the expansion valve outlet pressure in the time domain; P2(t) is the function of the expansion valve inlet pressure in the time domain; P3(t) is the function of the filter inlet pressure in the time domain; k1 is the coefficient of the area formed by pressure curves P3 and P2 during the time period from t0 to t1; k2 is... k3 is the coefficient of the area formed by pressure curves P3 and P2 during the time interval t1 to t2, k4 is the coefficient of the area formed by pressure curves P2 and P1 during the time interval t0 to t1, k5 is the coefficient of the expansion valve blockage contribution value Q1, k6 is the coefficient of T1, k7 is the coefficient of T2, T1 is the condenser inlet air temperature, T2 is the heat exchanger inlet air temperature, t is any time during system operation, t0 is the first system operation time, t1 is the second system operation time, t2 is the third system operation time, t2>t1>t0, a is the base of the exponential function, a>1, b is the base of the logarithmic function, b>1.

[0111] The predicted clogging levels of the E1 expansion valve and the E2 filter are displayed as percentages.

[0112] The functional relationships of P1(t), P2(t), and P3(t) in the time domain are as follows: Figure 9 As shown. The curves arranged from top to bottom along the vertical axis are P3(t), P2(t), and P1(t).

[0113] By processing the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature obtained at different time periods, the predicted blockage status of the expansion valve and filter can be obtained. This can better reflect the blockage status in the thermal management system, thereby improving the accuracy of blockage determination in the thermal management system.

[0114] This embodiment also provides a method for diagnosing blockages in expansion valves and filters of a thermal management system. Figure 6 This is a flowchart illustrating another method for diagnosing blockages in expansion valves and filters of a thermal management system according to an embodiment of this application, such as... Figure 6 As shown, the process includes the following steps:

[0115] In step S601, the adjustment module adjusts the opening degree of the expansion valve to the first threshold based on the expansion valve outlet pressure, the expansion valve inlet pressure, and the filter inlet pressure.

[0116] In step S602, after adjusting the opening of the expansion valve to the first threshold, the compressor operating frequency is uniformly adjusted from the first operating frequency to the second operating frequency during the process from t0 to t1.

[0117] In step S603, the compressor operating frequency is maintained at the second operating frequency during the process from t1 to t2.

[0118] Step S604: The data acquisition module acquires the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature.

[0119] In step S605, the data processing module obtains the predicted blockage status of the expansion valve and the predicted blockage status of the filter based on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature.

[0120] The first operating frequency is less than the second operating frequency.

[0121] After the expansion valve opening is adjusted to the first threshold, timing starts from t0.

[0122] By adjusting the expansion valve opening and compressor operating frequency through the above steps, more ideal conditions are achieved, facilitating more accurate data measurement by the data acquisition module. This more accurate data, after processing, allows for more precise predictions of expansion valve and filter blockage.

[0123] In some embodiments, adjusting the opening of the expansion valve to a first threshold based on the expansion valve outlet pressure, the expansion valve inlet pressure, and the filter inlet pressure includes:

[0124] calculate

[0125] exist In this case, adjust the opening of the expansion valve to the first threshold.

[0126] Among them, P i Indicates the pressure values: when i = 1, P1 is the outlet pressure of the expansion valve; when i = 2, P2 is the inlet pressure of the expansion valve; when i = 3, P3 is the inlet pressure of the filter; P... v1 P is the first pressure judgment threshold. v2 This is the second pressure judgment threshold.

[0127] Determine if the expansion valve outlet pressure, expansion valve inlet pressure, and filter inlet pressure are within acceptable limits. Conditions, under which Under certain conditions, this diagnostic method is more suitable for the thermal management system of supercapacitor modules in trams, resulting in more accurate calculation results.

[0128] This embodiment also provides a method for diagnosing blockages in expansion valves and filters of a thermal management system. Figure 7 This is a flowchart illustrating another method for diagnosing blockages in expansion valves and filters of a thermal management system according to an embodiment of this application, such as... Figure 7 As shown, the process includes the following steps:

[0129] In step S701, the adjustment module adjusts the opening of the expansion valve to the first threshold based on the expansion valve outlet pressure, the expansion valve inlet pressure, and the filter inlet pressure.

[0130] In step S702, after adjusting the opening of the expansion valve to the first threshold, the compressor operating frequency is uniformly adjusted from the first operating frequency to the second operating frequency during the process from t0 to t1.

[0131] In step S703, the compressor operating frequency is maintained at the second operating frequency during the process from t1 to t2.

[0132] Step S704: The data acquisition module acquires the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature.

[0133] In step S705, the preprocessing module processes the data of expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature in the time domain according to the Local Anomaly Factor (LOF) algorithm, and filters and removes invalid and abnormal data of expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature.

[0134] In step S706, the data processing module obtains the predicted blockage status of the expansion valve and the predicted blockage status of the filter based on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature.

[0135] Because the data acquisition module measures a large amount of data, some values ​​are inaccurate, affecting the accuracy of the diagnostic system's assessment of blockages in the thermal management system. The preprocessing module preprocesses the data measured by the data acquisition module, including expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, filtering out invalid and abnormal data. Processing and filtering the data improves the accuracy of the diagnostic system's assessment of blockages in the thermal management system.

[0136] This embodiment also provides a method for diagnosing blockages in expansion valves and filters of a thermal management system. Figure 8 This is a flowchart illustrating another method for diagnosing blockages in expansion valves and filters of a thermal management system according to an embodiment of this application, such as... Figure 8 As shown, the process includes the following steps:

[0137] In step S801, the adjustment module adjusts the opening of the expansion valve to the first threshold based on the expansion valve outlet pressure, the expansion valve inlet pressure, and the filter inlet pressure.

[0138] In step S802, after adjusting the opening of the expansion valve to the first threshold, the compressor operating frequency is uniformly adjusted from the first operating frequency to the second operating frequency during the process from t0 to t1.

[0139] In step S803, the compressor operating frequency is maintained at the second operating frequency during the process from t1 to t2.

[0140] In step S804, the data acquisition module acquires the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature.

[0141] In step S805, the preprocessing module processes the data of expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature in the time domain according to the Local Anomaly Factor (LOF) algorithm, and filters and removes invalid and abnormal data of expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature.

[0142] In step S806, the data processing module obtains the predicted blockage status of the expansion valve and the predicted blockage status of the filter based on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature.

[0143] In step S807, the data integration module obtains the final blockage result of the expansion valve and the final blockage result of the filter based on the historical judgment threshold of the expansion valve and the historical judgment threshold of the filter, the predicted blockage status of the expansion valve and the predicted blockage status of the filter.

[0144] Through the above steps, the predicted clogging conditions of the expansion valve and the filter are processed again. Using the historical judgment thresholds for the expansion valve and the filter, the final clogging results for both are obtained. Combining real-time predicted clogging conditions with historical experience values ​​allows for a better assessment of the expansion valve and filter conditions, thereby improving the accuracy of the diagnostic system in determining clogging in the thermal management system.

[0145] In some embodiments, the final clogging results of the expansion valve and the filter are obtained based on the historical judgment thresholds of the expansion valve and the filter, the predicted clogging status of the expansion valve and the predicted clogging status of the filter, including:

[0146] calculate

[0147] calculate

[0148] calculate Obtain the final clogging results for the E expansion valve and the filter;

[0149] in, x is E 1l or E 2l E r1 The threshold for determining expansion valve blockage is defined as follows: E1(t) is the t-th expansion valve blockage diagnosis value during operation, and E1(0) is the initial expansion valve blockage diagnosis value during operation. r1 E is the historical judgment threshold for the expansion valve. r2 Here, E2(t) represents the threshold for judging filter clogging, E2(t) is the t-th filter clogging diagnosis value during operation, and E2(0) is the initial filter clogging diagnosis value during operation. r2 Here, t represents the historical threshold for filter judgment, and E represents the number of blockage diagnoses during operation. 1l For the final blockage condition of the expansion valve, E 2l This represents the final clogging status of the filter.

[0150] The historical judgment thresholds for both the expansion valve and the filter are empirical values.

[0151] By combining real-time predicted blockage conditions, historical judgment thresholds, and blockage assessment thresholds, the condition of expansion valves and filters can be further analyzed. This helps to obtain more accurate final blockage results for both expansion valves and filters, thereby improving the accuracy of the diagnostic system in determining blockage conditions in the thermal management system.

[0152] In practical applications, the first step is to determine whether it is... If the conditions are not met, an error message will be displayed along with other fault information, and the system will enter a shutdown protection state. If the conditions are met, the expansion valve opening will be adjusted to the first threshold, and then the compressor operating frequency will be adjusted. Timing will begin after the expansion valve is adjusted, from t0 to t1, adjusting the compressor operating frequency from the first operating frequency to the second operating frequency. From t1 to t2, the compressor operating frequency will be maintained at the second operating frequency. The values ​​of the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature will be recorded during the t0 to t2 process. These data will be substituted into the calculation formula to obtain the predicted blockage status of the expansion valve and the filter. Combining this with historical judgment thresholds and blockage judgment thresholds, the final blockage results of the expansion valve and the filter will be calculated. Based on the final blockage results of the expansion valve and the filter, the local vehicle maintenance procedures, and the maintenance plan, a solution will be proposed, and repair and maintenance will be carried out.

[0153] In addition, combined Figures 5-8 The method for diagnosing blockages in expansion valves and filters of a thermal management system, as described in this application embodiment, can be implemented by a diagnostic device for diagnosing blockages in expansion valves and filters of a thermal management system. Figure 9 This is a schematic diagram of the hardware structure of a thermal management system expansion valve and filter clogging diagnostic device according to an embodiment of this application.

[0154] A diagnostic device for clogging expansion valves and filters in a thermal management system may include a processor 81 and a memory 82 storing computer program instructions.

[0155] Specifically, the processor 81 may include a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0156] The memory 82 may include a mass storage device for data or instructions. For example, and not limitingly, the memory 82 may include a hard disk drive (HDD), a floppy disk drive, a solid-state drive (SSD), flash memory, an optical disk drive, a magneto-optical disk drive, magnetic tape, or a Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 82 may include removable or non-removable (or fixed) media. Where appropriate, the memory 82 may be internal or external to a data processing device. In a particular embodiment, the memory 82 is non-volatile memory. In a particular embodiment, the memory 82 includes read-only memory (ROM) and random access memory (RAM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), an electrically alterable read-only memory (EAROM), or flash memory, or a combination of two or more of these. Where appropriate, the RAM can be Static Random-Access Memory (SRAM) or Dynamic Random-Access Memory (DRAM). DRAM can be Fast Page Mode Dynamic Random-Access Memory (FPMDRAM), Extended Data Out Dynamic Random-Access Memory (EDODRAM), Synchronous Dynamic Random-Access Memory (SDRAM), etc.

[0157] The memory 82 can be used to store or cache various data files that need to be processed and / or communicated, as well as possible computer program instructions executed by the processor 81.

[0158] The processor 81 reads and executes computer program instructions stored in the memory 82 to implement any of the methods for diagnosing blockages in the thermal management system expansion valve and filter in the above embodiments.

[0159] In some embodiments, a thermal management system expansion valve and filter clogging diagnostic device may further include a communication interface 83 and a bus 80. For example, Figure 9 As shown, the processor 81, memory 82, and communication interface 83 are connected through bus 80 and complete communication with each other.

[0160] The communication interface 83 is used to enable communication between the various modules, devices, units, and / or equipment in the embodiments of this application. The communication port 83 can also enable data communication with other components such as external devices, image / data acquisition devices, databases, external storage, and image / data processing workstations.

[0161] Bus 80 includes hardware, software, or both, that couples together components of a thermal management system expansion valve and a filter clogging diagnostic device. Bus 80 includes, but is not limited to, at least one of the following: data bus, address bus, control bus, expansion bus, and local bus. For example, and not as a limitation, bus 80 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses, or a combination of two or more of these. Where appropriate, bus 80 may include one or more buses. Although specific buses are described and illustrated in the embodiments of this application, this application considers any suitable bus or interconnection.

[0162] The thermal management system expansion valve and filter clogging diagnostic device can, based on the acquired data, execute a method for diagnosing thermal management system expansion valve and filter clogging according to an embodiment of this application, thereby achieving a combination of... Figures 5-8 This describes a method for diagnosing blockages in expansion valves and filters of a thermal management system.

[0163] Furthermore, in conjunction with the method for diagnosing clogging of expansion valves and filters in a thermal management system as described in the above embodiments, this application can provide a computer-readable storage medium for implementation. This computer-readable storage medium stores computer program instructions; when executed by a processor, these computer program instructions implement any of the methods for diagnosing clogging of expansion valves and filters in a thermal management system as described in the above embodiments.

[0164] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0165] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A system for diagnosing blockages in expansion valves and filters of a thermal management system, characterized in that, The thermal management system includes: a heat exchanger, an expansion valve, a filter, a condenser, and a compressor; The heat exchanger is located inside the supercapacitor module. The heat exchanger inlet is connected to the expansion valve outlet, the heat exchanger outlet is connected to the compressor inlet, the expansion valve inlet is connected to the filter outlet, the filter inlet is connected to the condenser outlet, and the condenser inlet is connected to the compressor outlet. The system for diagnosing blockages in the expansion valves and filters of the thermal management system includes a data acquisition module and a data processing module. The data acquisition module includes: First pressure sensor: Located at the outlet end of the expansion valve, used to measure the outlet pressure of the expansion valve; Second pressure sensor: installed at the inlet of the expansion valve, used to measure the inlet pressure of the expansion valve; The third pressure sensor is located at the filter inlet and is used to measure the filter inlet pressure. First temperature sensor: installed at the air inlet of the heat exchanger, used to measure the air inlet temperature of the heat exchanger; Second temperature sensor: installed at the air inlet of the condenser, used to measure the air inlet temperature of the condenser; First data acquisition unit: connected to the expansion valve, used to measure the opening degree of the expansion valve; Second acquisition unit: connected to the compressor, used to measure the compressor's operating frequency; The data processing module is connected to the data acquisition module to acquire the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature data measured by the data acquisition module, and obtain the predicted blockage status of the expansion valve and the predicted blockage status of the filter based on the aforementioned data. This includes: calculate ; calculate ; calculate and ,get E 1. Predictive clogging of expansion valve and E 2. Predicted clogging of the filter; in, Q 1 represents the combined contribution of the expansion valve inlet pressure, expansion valve outlet pressure, filter inlet pressure, condenser inlet air temperature, and heat exchanger inlet air temperature during the blockage detection period. Q 2 represents the combined contribution of the expansion valve inlet pressure, expansion valve outlet pressure, filter inlet pressure, condenser inlet air temperature, and heat exchanger inlet air temperature to the filter during the clogging detection period. P 1(t) represents the function relationship of the expansion valve outlet pressure in the time domain. P 2(t) represents the function relationship of the expansion valve inlet pressure in the time domain. P 3(t) represents the function relationship of the filter inlet pressure in the time domain. k 1 is t 0 to t Pressure curve over a time period P 3 and P 2. The coefficient that constitutes the area. k 2 is t 1 to t Pressure curves over two time periods P 3 and P 2. The coefficient that constitutes the area. k 3 is t 0 to t Pressure curve over a time period P 2 and P 1. The coefficient that constitutes the area. k 4 t 1 to t Pressure curves over two time periods P 2 and P 1. The coefficient that constitutes the area. k 5 represents the contribution value for expansion valve blockage. Q The coefficient of 1 k 6 T The coefficient of 1 k 7 is T The coefficient of 2, T 1 represents the condenser inlet air temperature. T 2 represents the inlet air temperature of the heat exchanger. t For any time during system operation, t 0 represents the first system runtime. t 1 represents the runtime of the second system. t 2 represents the runtime of the third system. t 2> t 1> t 0, a is the base of the exponential function. a >1, b Let be the base of the logarithmic function. b >1.

2. The system for diagnosing blockages in expansion valves and filters of a thermal management system according to claim 1, characterized in that, Also includes: The adjustment module communicates with the data acquisition module to obtain the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, expansion valve opening degree and compressor operating frequency. Based on the expansion valve outlet pressure, expansion valve inlet pressure and filter inlet pressure, the expansion valve opening degree is adjusted to a first threshold. After the expansion valve opening degree is adjusted to the first threshold, the compressor operating frequency is adjusted to a second operating frequency. The preprocessing module communicates with the data acquisition module and the data processing module. It receives data on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature measured by the data acquisition module. It filters out invalid and abnormal data from the aforementioned data and sends the filtered data on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature to the data processing module.

3. The system for diagnosing blockages in expansion valves and filters of a thermal management system according to claim 1, characterized in that, Also includes: The data integration module communicates with the data processing module, receives the predicted clogging status of the expansion valve and the filter, and combines the historical judgment thresholds of the expansion valve and the filter to further process the predicted clogging status of the expansion valve and the filter to obtain the final clogging results of the expansion valve and the filter. The data feedback module communicates with the data integration module to obtain the final clogging results of the expansion valve and the filter. The maintenance center communicates with the data feedback module to receive and display the final clogging results of the expansion valve and the filter.

4. A method for diagnosing blockages in expansion valves and filters of a thermal management system, characterized in that, A system for diagnosing clogging of expansion valves and filters in a thermal management system as described in claim 1, comprising: Obtain the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature; Based on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, the predicted clogging status of the expansion valve and the filter is obtained. This includes: calculate ; calculate ; calculate and ,get E 1. Predictive clogging of expansion valve and E 2. Predicted clogging of the filter; in, Q 1 represents the combined contribution of the expansion valve inlet pressure, expansion valve outlet pressure, filter inlet pressure, condenser inlet air temperature, and heat exchanger inlet air temperature during the blockage detection period. Q 2 represents the combined contribution of the expansion valve inlet pressure, expansion valve outlet pressure, filter inlet pressure, condenser inlet air temperature, and heat exchanger inlet air temperature to the filter during the clogging detection period. P 1(t) represents the function relationship of the expansion valve outlet pressure in the time domain. P 2(t) represents the function relationship of the expansion valve inlet pressure in the time domain. P 3(t) represents the function relationship of the filter inlet pressure in the time domain. k 1 is t 0 to t Pressure curve over a time period P 3 and P 2. The coefficient that constitutes the area. k 2 is t 1 to t Pressure curves over two time periods P 3 and P 2. The coefficient that constitutes the area. k 3 is t 0 to t Pressure curve over a time period P 2 and P 1. The coefficient that constitutes the area. k 4 t 1 to t Pressure curves over two time periods P 2 and P 1. The coefficient that constitutes the area. k 5 represents the contribution value for expansion valve blockage. Q The coefficient of 1 k 6 T The coefficient of 1 k 7 is T The coefficient of 2, T 1 represents the condenser inlet air temperature. T 2 represents the inlet air temperature of the heat exchanger. t For any time during system operation, t 0 represents the first system runtime. t 1 represents the runtime of the second system. t 2 represents the runtime of the third system. t 2> t 1> t 0, a is the base of the exponential function. a >1, b Let be the base of the logarithmic function. b >1.

5. The method for diagnosing blockages in expansion valves and filters of a thermal management system according to claim 4, characterized in that, Before obtaining the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, the following steps are also included: Adjust the opening of the expansion valve to the first threshold based on the expansion valve outlet pressure, expansion valve inlet pressure, and filter inlet pressure. After adjusting the expansion valve opening to the first threshold, t 0 to t During process 1, the compressor's operating frequency is uniformly adjusted from the first operating frequency to the second operating frequency; exist t 1 to t During process 2, the compressor operates at the second operating frequency; The first operating frequency is less than the second operating frequency.

6. The method for diagnosing blockages in expansion valves and filters of a thermal management system according to claim 5, characterized in that, The step of adjusting the opening degree of the expansion valve to a first threshold based on the expansion valve outlet pressure, the expansion valve inlet pressure, and the filter inlet pressure includes: calculate ; exist In this case, adjust the opening of the expansion valve to the first threshold. in, Indicates the pressure values: , P 1 represents the outlet pressure of the expansion valve. , P 2 represents the inlet pressure of the expansion valve. , P 3 represents the filter inlet pressure. P v1 The first pressure threshold is used to determine the first pressure. P v2 This is the second pressure judgment threshold.

7. The method for diagnosing blockages in expansion valves and filters of a thermal management system according to claim 4, characterized in that, Before obtaining the predicted blockage status of the expansion valve and the predicted blockage status of the filter based on the expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature, the method further includes: Based on the Local Anomaly Factor (LOF) algorithm, the data of expansion valve outlet pressure, expansion valve inlet pressure, filter inlet pressure, heat exchanger inlet air temperature, and condenser inlet air temperature are processed in the time domain to filter and remove invalid and abnormal data.

8. A method for diagnosing blockages in expansion valves and filters of a thermal management system according to any one of claims 4 to 7, characterized in that, Also includes: Based on the historical judgment thresholds of the expansion valve and the filter, as well as the predicted clogging status of the expansion valve and the filter, the final clogging results of the expansion valve and the filter are obtained.

9. The method for diagnosing blockage of expansion valves and filters in a thermal management system according to claim 8, characterized in that, The process of obtaining the final clogging results of the expansion valve and the filter based on the historical judgment thresholds of the expansion valve and the filter, as well as the predicted clogging status of the expansion valve and the filter, includes: calculate ; calculate ; calculate ,get E The final clogging results of the expansion valve and the final clogging results of the filter; in, , x for E 1l or E 2l , E r1 Threshold for determining expansion valve blockage. E 1(t) represents the th iteration during the operation. t Diagnostic values ​​for secondary expansion valve blockage. E 1(0) represents the initial diagnostic value for expansion valve blockage during operation. k r1 The historical threshold for the expansion valve. E r2 Determine the threshold for filter clogging. E 2(t) represents the t-th iteration during the operation. t Secondary filter clogging diagnostic values E 2(0) represents the initial filter clogging diagnostic value during operation. k r2 The historical threshold for filter judgment, t To reduce the number of diagnostic attempts during operation, E 1l This indicates the final blockage status of the expansion valve. E 2l This represents the final clogging status of the filter.

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