Heat exchanger filth blockage fault diagnosis method of heat management system and heat management system thereof

Abstract

The invention discloses a heat exchanger filth blockage fault diagnosis method of a heat management system and the heat management system thereof, and relates to the technical field of heat management systems and control methods thereof, and the method comprises the following steps: sending a heat exchanger filth blockage fault early warning signal when the following conditions are met: a compressor deviation value is greater than a preset first threshold value, or a compressor deviation value is greater than a preset second threshold value; the real-time data of the operation condition of the compressor reach the maximum value allowed by the compressor; moreover, the deviation value of the fan is greater than a preset second threshold value, or the real-time data of the operation condition of the fan reaches the maximum value allowed by the fan. The invention mainly solves the problem of how to provide a heat exchanger filth blockage fault diagnosis method for a heat management system. According to the method, advanced diagnosis and early warning of the filth blockage fault of the heat exchanger can be provided for the heat management system, a complex algorithm, a high-end sensor and maintenance of operation personnel are not needed, a large amount of economic cost and energy consumption can be saved, and further expansion of the fault of the heat management system is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal management systems and control methods thereof, and in particular to a method for diagnosing heat exchanger fouling and blockage faults of a thermal management system and a thermal management system thereof. Background Art

[0002] An energy storage system is a system used to store and release electrical energy. It involves the conversion between electrical energy and chemical energy, as well as the conversion between electrical energy and electrical energy. In the above process, a lot of heat will be generated. If the heat cannot be discharged in time, the temperature of the energy storage system will rise, bringing safety hazards, and thus affecting the performance, life and normal operation of the energy storage system.

[0003] In order to control the temperature of the energy storage system and improve the charging and discharging efficiency of the energy storage system, a thermal management system needs to be configured in the energy storage system to dissipate heat for the energy storage system. Among them, the heat dissipation system using phase change refrigeration technology is the most widely used thermal management system solution.

[0004] The heat dissipation system using phase change refrigeration technology usually includes a compressor, a condenser, an expansion valve, an evaporator and refrigerant pipes connecting the above components; among them, the condenser (such as air condenser and water condenser, etc.) and the evaporator (such as air-cooled evaporator, direct-cooled evaporative heat exchanger that directly exchanges heat with the energy storage system, and evaporative heat exchanger that exchanges heat with the liquid cooling medium in the liquid cooling unit, etc.) are all heat exchangers in the thermal management system. It can be seen that the heat exchanger is one of the core components in various thermal management systems.

[0005] After the thermal management system has been running for a period of time, the above-mentioned heat exchanger is likely to become dirty and clogged (for example, dust and oil accumulation), which will obviously affect the heat exchange performance of the heat exchanger, and then affect the overall efficiency of the thermal management system, causing the thermal management system and energy storage system to experience performance degradation and shutdown and other failures.

[0006] The thermal management system in the existing technology usually needs to rely on manual labor to identify the dirty and blocked faults of the heat exchanger, and make judgments based on observation and experience. This obviously consumes a lot of labor costs, has low efficiency, and has high error and delay rates.

[0007] In summary, how to provide a heat exchanger fouling fault diagnosis method that is efficient, objective, accurate, and does not require manual intervention for the thermal management system has become an urgent problem to be solved. Summary of the invention

[0008] The object of the present invention is to provide a heat exchanger fouling fault diagnosis method of a thermal management system and a thermal management system thereof, which are efficient, objective, highly accurate and do not require manual labor.

[0009] To achieve the above object, the present invention provides the following technical solutions: a method for diagnosing a heat exchanger blockage fault of a thermal management system, wherein the thermal management system is used to dissipate heat for a functional device; the thermal management system comprises a compressor, a condenser with a fan, an expansion valve and an evaporator; the refrigerant channels of the compressor, the condenser, the expansion valve and the evaporator are connected in sequence, so that the refrigerant can circulate among the refrigerant channels of the compressor, the condenser, the expansion valve and the evaporator;

[0010] The method includes:

[0011] S1. After the thermal management system is put into operation, several sets of ambient temperature data, functional device operating condition data, compressor operating condition data and fan operating condition data are collected;

[0012] S2, using the ambient temperature data and the functional device operating condition data as independent variables, and using the compressor operating condition data and the fan operating condition data as dependent variables, to establish a refrigeration capacity reference model;

[0013] S3. After the cooling capacity reference model is established, during the operation of the thermal management system, real-time data of ambient temperature, real-time data of operating conditions of functional devices, real-time data of operating conditions of compressors, and real-time data of operating conditions of fans are collected in real time / intermittently;

[0014] S4, inputting the real-time data of ambient temperature and the real-time data of the operating condition of the functional device as input data into the refrigeration capacity reference model to obtain the compressor operating condition reference data and the fan operating condition reference data output by the refrigeration capacity reference model;

[0015] S5, calculating the offset value between the real-time data of the compressor operating condition and the reference data of the compressor operating condition, which is recorded as the compressor offset value, and calculating the offset value between the real-time data of the fan operating condition and the reference data of the fan operating condition, which is recorded as the fan offset value;

[0016] S6: When the real-time data of the compressor operating condition, the real-time data of the fan operating condition, the compressor offset value, and the fan offset value meet the following conditions, a heat exchanger fouling fault warning signal is issued:

[0017] The compressor offset value is greater than a preset first threshold, or the compressor operating condition real-time data has reached the maximum value allowed by the compressor;

[0018] Furthermore, the fan offset value is greater than a preset second threshold, or the real-time data of the fan operating condition has reached the maximum value allowed by the fan;

[0019] S7. Repeat steps S3 to S6.

[0020] In the above technical solution, the functional device is a battery pack in the energy storage system; the functional device operating condition data and the functional device operating condition real-time data are both the calorific value (kW) of the battery pack in the energy storage system.

[0021] In the above technical solution, the compressor operating condition data, the compressor operating condition real-time data and the compressor operating condition reference data are all the frequency (Hz) of the compressor.

[0022] In the above technical solution, the refrigeration capacity reference model includes a compressor operating condition reference sub-model; the compressor operating condition reference sub-model is specifically: a regression model with the ambient temperature data and the functional device operating condition data as independent variables, and the compressor operating condition data as the dependent variable.

[0023] In the above technical solution, in step S5, the compressor offset value is specifically:

[0024]

[0025] Wherein, Δf is the difference between the real-time data of the compressor operating condition and the reference data of the compressor operating condition.

[0026] In the above technical solution, in step S6, the compressor offset value is greater than a preset first threshold value, and the specific judgment method is: the compressor offset value>20%.

[0027] In the above technical solution, the fan operating condition data, the fan operating condition real-time data and the fan operating condition reference data are all percentages (%) of the fan rotation speed.

[0028] In the above technical solution, the refrigeration capacity reference model includes a fan operating condition reference sub-model; the fan operating condition reference sub-model is specifically: a regression model with the ambient temperature data and the functional device operating condition data as independent variables, and the fan operating condition data as the dependent variable.

[0029] In the above technical solution, in step S5, the fan offset value is specifically: fan offset value (%) = fan operating condition real-time data (%) - fan operating condition reference data (%); in step S6, the fan offset value is greater than the preset threshold value, and the specific judgment method is: fan offset value (%) > 30%.

[0030] A thermal management system applies the above-mentioned heat exchanger dirty blockage fault diagnosis method of the thermal management system.

[0031] Compared with the prior art, the beneficial effects of the present invention are as follows: the heat exchanger dirty blockage fault diagnosis method of the thermal management system of the present invention and the thermal management system thereof establish a refrigeration capacity reference model by collecting ambient temperature data, functional device operating condition data, compressor operating condition data and fan operating condition data. In the subsequent operation of the thermal management system, the real-time data of ambient temperature, functional device operating condition real-time data, compressor operating condition real-time data and fan operating condition real-time data are collected in real time / intermittently, and compared with the compressor operating condition reference data and the fan operating condition reference data output by the refrigeration capacity reference model, so as to warn of the heat exchanger dirty blockage fault of the thermal management system; the heat exchanger dirty blockage fault diagnosis method of the thermal management system of the present invention and the thermal management system thereof can provide the thermal management system with early diagnosis and warning of heat exchanger dirty blockage fault, without relying on complex algorithms, high-end sensors and maintenance by operators, which can save a lot of economic costs and energy consumption, and avoid further expansion of thermal management system failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a system structure diagram of the thermal management system in the present invention.

[0033] Figure 2 The present invention is a flowchart of the steps of the heat exchanger dirty blockage fault diagnosis method of the thermal management system of the present invention.

[0034] The accompanying drawings are marked as follows: 1. compressor; 2. condenser; 3. fan; 4. expansion valve; 5. evaporator; 10. functional device. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] This embodiment provides a method for diagnosing dirty and blocked heat exchanger faults of a thermal management system, which can be applied to the thermal management system to provide early diagnosis and early warning of dirty and blocked heat exchanger faults for the thermal management system.

[0037] The thermal management system is used to dissipate heat for the functional device 10; see Figure 1 Specifically, the thermal management system includes a compressor 1 , a condenser 2 with a fan 3 , an expansion valve 4 , and an evaporator 5 suitable for heat exchange with a functional device 10 .

[0038] Among them, the compressor 1 is a compressor 1 used for compressing refrigerant in the refrigeration system, specifically a variable frequency compressor 1; the condenser 2 is a condenser used for condensing refrigerant in the refrigeration system, and it dissipates heat through its own fan 3. It should be noted that the fan 3 is a precision electronic fan, which is controlled by the host computer and can at least feedback its speed (rpm) or speed percentage (%) to the host computer; the expansion valve 4 is an expansion valve 4 used for throttling refrigerant in the refrigeration system, specifically an electronic expansion valve.

[0039] It should be noted that the evaporator 5 is an evaporator 5 in the refrigeration system for evaporating the refrigerant and thereby absorbing heat; in some possible embodiments, the heat exchange method between the evaporator 5 and the functional device 10 is liquid cooling, that is, the heat of the functional device 10 is absorbed by the liquid cooling medium in the liquid cooling unit, and the heat of the liquid cooling medium is absorbed by the evaporator 5 of this embodiment; in other possible embodiments, the heat exchange method between the evaporator 5 and the functional device 10 is air cooling, for example, the evaporator 5 of this embodiment is used as the evaporator 5 in the indoor unit of the precision air conditioner in the computer room; in some other possible embodiments, the heat exchange method between the evaporator 5 and the functional device 10 is direct cooling, that is, the evaporator 5 is integrated in the heat exchanger, and the heat exchanger is directly attached to the functional device 10, so that the evaporator 5 and the functional device 10 directly exchange heat.

[0040] The refrigerant channels of the compressor 1, condenser 2, expansion valve 4 and evaporator 5 are connected in sequence, so that the refrigerant can circulate among the refrigerant channels of the compressor 1, condenser 2, expansion valve 4 and evaporator 5. With this arrangement, the refrigeration function of the thermal management system can be realized.

[0041] It is understandable that the thermal management system or its upper system at least includes a control device, such as a programmable controller, an embedded system and an industrial computer.

[0042] It should be noted that the above-mentioned condenser 2 and evaporator 5 are both heat exchangers. The heat exchanger dirty blockage fault diagnosis method of the thermal management system of this embodiment can be used to diagnose the dirty blockage fault of either the condenser 2 or the evaporator 5, and can also be used to diagnose the dirty blockage fault of the condenser 2 and the evaporator 5 at the same time.

[0043] See also Figure 2 The heat exchanger dirty blockage fault diagnosis method of the thermal management system of this embodiment includes:

[0044] S1. After the thermal management system is put into operation, several sets of ambient temperature data, functional device operating condition data, compressor operating condition data and fan operating condition data are collected;

[0045] S2. Using ambient temperature data and functional device operating condition data as independent variables, and using compressor operating condition data and fan operating condition data as dependent variables, establish a refrigeration capacity reference model;

[0046] S3. After the refrigeration capacity reference model is established, during the operation of the thermal management system, real-time / intermittent data on ambient temperature, real-time data on the operating conditions of functional devices, real-time data on the operating conditions of compressors, and real-time data on the operating conditions of fans are collected in real time;

[0047] S4, inputting the real-time data of ambient temperature and the real-time data of the operating conditions of the functional devices as input data into the refrigeration capacity reference model to obtain the compressor operating condition reference data and the fan operating condition reference data output by the refrigeration capacity reference model;

[0048] S5, calculating the offset value between the real-time data of the compressor operating condition and the reference data of the compressor operating condition, which is recorded as the compressor offset value, and calculating the offset value between the real-time data of the fan operating condition and the reference data of the fan operating condition, which is recorded as the fan offset value;

[0049] S6: When the real-time data of the compressor operating condition, the real-time data of the fan operating condition, the compressor offset value, and the fan offset value meet the following conditions, a heat exchanger fouling fault warning signal is issued:

[0050] The compressor offset value is greater than a preset first threshold, or the compressor operating condition real-time data has reached the maximum value allowed by the compressor;

[0051] Furthermore, the fan offset value is greater than a preset second threshold, or the real-time data of the fan operating condition has reached the maximum value allowed by the fan;

[0052] S7. Repeat steps S3 to S6.

[0053] When the compressor and fan in the thermal management system meet the conditions recorded in step S6, it indicates that the current cooling capacity of the thermal management system is higher than the reference value (compressor operating condition reference data and fan operating condition reference data), and the thermal management system may have a dirty heat exchanger blockage failure. The operators of the energy storage system / thermal management system can focus on detecting and eliminating the above faults.

[0054] It can be understood that the collection of ambient temperature data and ambient temperature real-time data can be achieved through a temperature sensor installed near the system or in the computer room / chassis. The temperature sensor realizes signal connection with the host computer (i.e., the control device) through an analog output interface or a communication interface, thereby realizing the collection and transmission of ambient temperature data and ambient temperature real-time data.

[0055] Specifically, the functional device is a battery pack in the energy storage system; the functional device operating condition data and the functional device operating condition real-time data are both the calorific value (kW) of the battery pack in the energy storage system; in fact, the calorific value (kW) of the battery pack can be obtained based on the operating condition calorific value data table provided by the battery pack manufacturer, or it can be obtained by calculating physical quantities such as the battery pack's input power, output power, input current, and output current, and it can also be collected and transmitted using a temperature sensor at the battery pack.

[0056] Specifically, the compressor operating condition data, the compressor operating condition real-time data, and the compressor operating condition reference data are all the frequency (Hz) of the compressor.

[0057] In fact, the frequency (Hz) of the compressor can be directly obtained by the control device based on the operating information fed back by the signal line of the compressor, or it can be obtained by calculating physical quantities such as the input power, output power, input current and output current of the compressor.

[0058] Specifically, the refrigeration capacity reference model includes a compressor operating condition reference sub-model; the compressor operating condition reference sub-model is specifically: a regression model with ambient temperature data and functional device operating condition data as independent variables, and compressor operating condition data as dependent variables.

[0059] In fact, by using computer mathematical software, inputting several groups of ambient temperature data (as independent variables), functional device operating condition data (as independent variables), and compressor operating condition data (as dependent variables), and performing linear or nonlinear fitting according to the actual operating characteristics of the thermal management system, the compressor operating condition reference sub-model can be obtained.

[0060] In step S5, the compressor offset value is specifically:

[0061]

[0062] Wherein, Δf is the difference between the real-time data of the compressor operating condition and the reference data of the compressor operating condition.

[0063] Specifically, in step S6, the compressor offset value is greater than a preset threshold value, and the specific judgment method is: the compressor offset value>20%.

[0064] Specifically, the fan operating condition data, the fan operating condition real-time data and the fan operating condition reference data are all percentages (%) of the fan rotation speed.

[0065] It should be noted that the fan speed percentage (%) is specifically the ratio of the fan's current speed to the fan's maximum speed. For example, when the fan's maximum speed is 1000 rpm and the fan's current speed is 500 rpm, the fan speed percentage is 50%.

[0066] In fact, the rotation speed percentage (%) of the fan can be directly obtained by the control device according to the operation information fed back by the signal line of the fan.

[0067] Specifically, the cooling capacity reference model includes a fan operating condition reference sub-model; the fan operating condition reference sub-model is specifically: a regression model with ambient temperature data and functional device operating condition data as independent variables, and fan operating condition data as dependent variables.

[0068] In fact, by using computer mathematical software, inputting several groups of ambient temperature data (as independent variables), functional device operating condition data (as independent variables), and fan operating condition data (as dependent variables), and performing linear or nonlinear fitting according to the actual operating characteristics of the thermal management system, a reference sub-model of the fan operating condition can be obtained.

[0069] In step S5, the fan offset value is specifically:

[0070] Fan offset value (%) = fan operating condition real-time data (%) - fan operating condition reference data (%).

[0071] In step S6, the fan offset value is greater than a preset threshold value, and the specific judgment method is: fan offset value (%)>30%.

[0072] It should be noted that the real-time data of the compressor operating conditions has reached the maximum value allowed by the compressor, specifically, the frequency (Hz) of the compressor has reached / exceeded the maximum frequency (Hz) preset when the compressor leaves the factory; the real-time data of the fan operating conditions has reached the maximum value allowed by the fan, specifically, the fan speed percentage (%) has reached / exceeded 100%.

[0073] The following will use a specific case to further illustrate the technical solution of the present invention:

[0074] According to needs, a certain place establishes an 8kW energy storage system, and the battery pack (ie, functional device) of the energy storage system adopts the thermal management system of this embodiment for heat dissipation.

[0075] The battery pack of the energy storage system is equipped with a total of 16 battery clusters, and the calorific value of each battery cluster is 0.5kW. The full-load calorific value of the battery pack in the energy storage system is 16×0.5=8kW, that is, when the energy storage system is running at full load, the operating condition data of the functional device is 8kW. When the load is not full, the operating condition data of the functional device will be lower than 8kW. The operating condition data of the functional device can be determined according to the number of battery clusters in operation.

[0076] After the energy storage system and the thermal management system of this embodiment are put into operation, the control device collects several groups of ambient temperature data, functional device operating condition data, compressor operating condition data and fan operating condition data.

[0077] As a typical case of normal operation of the thermal management system, one set of data reflects: the ambient temperature data is 35°C, the operating condition data of the functional device is 8kW, the operating condition data of the compressor is 50Hz, and the operating condition data of the fan is 40%.

[0078] Input several groups of collected ambient temperature data, functional device operating condition data and compressor operating condition data into computer mathematical software to obtain the compressor operating condition reference sub-model, and input several groups of collected ambient temperature data, functional device operating condition data and fan operating condition data into computer mathematical software to obtain the fan operating condition reference sub-model; the compressor operating condition reference sub-model and the fan operating condition reference sub-model together constitute the refrigeration capacity reference model.

[0079] During the operation of the energy storage system and the thermal management system of this embodiment, the control device collects real-time data on ambient temperature, real-time data on the operating conditions of functional devices, real-time data on the operating conditions of compressors, and real-time data on the operating conditions of fans.

[0080] One set of data reflects: the real-time data of ambient temperature is 35°C, the real-time data of functional device operating conditions is 8kW, the real-time data of compressor operating conditions is 80Hz, and the real-time data of fan operating conditions is 100% (that is, the speed has reached the maximum value allowed by the fan).

[0081] The real-time data of ambient temperature (35°C) and the real-time data of functional device operating conditions (8kW) are input into the refrigeration capacity reference model (specifically, the compressor operating condition reference sub-model and the fan operating condition reference sub-model respectively). The refrigeration capacity reference model outputs the compressor operating condition reference data of 50Hz, and the fan operating condition reference data of 40% (the same as the typical case data during normal operation mentioned above).

[0082] at this time, When the preset first threshold is exceeded by 20%, and the real-time data of the fan operating condition has reached the maximum value allowed by the fan, it indicates that the thermal management system of this embodiment has a dirty and blocked heat exchanger fault; the control device sends a dirty and blocked heat exchanger fault warning signal through its own interactive device, or the control device sends a dirty and blocked heat exchanger fault warning signal to its host computer to warn the operator of the energy storage system or the thermal management system of the dirty and blocked heat exchanger fault of the thermal management system.

[0083] This embodiment also provides a thermal management system, which applies the heat exchanger dirty blockage fault diagnosis method of the thermal management system mentioned above.

[0084] The heat exchanger dirty blockage fault diagnosis method and thermal management system of the thermal management system of the present embodiment establish a refrigeration capacity reference model by collecting ambient temperature data, functional device operating condition data, compressor operating condition data and fan operating condition data. In the subsequent operation of the thermal management system, the real-time data of ambient temperature, functional device operating condition data, compressor operating condition data and fan operating condition data are collected in real time / intermittently, and compared with the compressor operating condition reference data and the fan operating condition reference data output by the refrigeration capacity reference model, so as to warn of the heat exchanger dirty blockage fault of the thermal management system. The heat exchanger dirty blockage fault diagnosis method and thermal management system of the thermal management system of the present embodiment can provide the thermal management system with early diagnosis and warning of heat exchanger dirty blockage fault, without relying on complex algorithms, high-end sensors and maintenance by operators, which can save a lot of economic costs and energy consumption, and avoid further expansion of thermal management system faults.

[0085] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for diagnosing a dirty or blocked heat exchanger fault in a thermal management system, wherein the thermal management system is used to dissipate heat for a functional device; The thermal management system includes a compressor, a condenser with a fan, an expansion valve and an evaporator; The refrigerant channels of the compressor, the condenser, the expansion valve and the evaporator are connected in sequence, so that the refrigerant can circulate among the refrigerant channels of the compressor, the condenser, the expansion valve and the evaporator; It is characterized in that The method includes: S1. After the thermal management system is put into operation, several sets of ambient temperature data, functional device operating condition data, compressor operating condition data and fan operating condition data are collected; S2, using the ambient temperature data and the functional device operating condition data as independent variables, and using the compressor operating condition data and the fan operating condition data as dependent variables, to establish a refrigeration capacity reference model; S3. After the cooling capacity reference model is established, during the operation of the thermal management system, real-time data of ambient temperature, real-time data of operating conditions of functional devices, real-time data of operating conditions of compressors, and real-time data of operating conditions of fans are collected in real time / intermittently; S4, inputting the real-time data of ambient temperature and the real-time data of the operating condition of the functional device as input data into the refrigeration capacity reference model to obtain the compressor operating condition reference data and the fan operating condition reference data output by the refrigeration capacity reference model; S5, calculating the offset value between the real-time data of the compressor operating condition and the reference data of the compressor operating condition, which is recorded as the compressor offset value, and calculating the offset value between the real-time data of the fan operating condition and the reference data of the fan operating condition, which is recorded as the fan offset value; S6: When the real-time data of the compressor operating condition, the real-time data of the fan operating condition, the compressor offset value, and the fan offset value meet the following conditions, a heat exchanger fouling fault warning signal is issued: The compressor offset value is greater than a preset first threshold, or the compressor operating condition real-time data has reached the maximum value allowed by the compressor; Furthermore, the fan offset value is greater than a preset second threshold, or the real-time data of the fan operating condition has reached the maximum value allowed by the fan; S7. Repeat steps S3 to S6.

2. The heat exchanger dirty blockage fault diagnosis method of the thermal management system according to claim 1 is characterized in that: The functional device is a battery pack in an energy storage system; The functional device operating condition data and the functional device operating condition real-time data are both the calorific value (kW) of the battery pack in the energy storage system.

3. The heat exchanger dirty blockage fault diagnosis method of the thermal management system according to claim 2 is characterized in that: The compressor operating condition data, the compressor operating condition real-time data and the compressor operating condition reference data are all the frequency (Hz) of the compressor.

4. The heat exchanger dirty blockage fault diagnosis method of the thermal management system according to claim 3 is characterized in that: The refrigeration capacity reference model includes a compressor operating condition reference sub-model; The compressor operating condition reference sub-model is specifically a regression model that uses the ambient temperature data and the functional device operating condition data as independent variables and the compressor operating condition data as a dependent variable.

5. The heat exchanger dirty blockage fault diagnosis method of the thermal management system according to claim 3 or 4, characterized in that: In step S5, the compressor offset value is specifically: Wherein, Δf is the difference between the real-time data of the compressor operating condition and the reference data of the compressor operating condition.

6. The heat exchanger dirty blockage fault diagnosis method of the thermal management system according to claim 5, characterized in that: In step S6, the compressor offset value is greater than a preset first threshold value, and the specific judgment method is: The compressor offset value is >20%.

7. The method for diagnosing heat exchanger blockage faults in a thermal management system according to claim 2, characterized in that: The fan operating condition data, the fan operating condition real-time data and the fan operating condition reference data are all percentages (%) of the rotation speed of the fan.

8. The method for diagnosing heat exchanger blockage faults in a thermal management system according to claim 7, characterized in that: The cooling capacity reference model includes a fan operating condition reference sub-model; The fan operating condition reference sub-model is specifically a regression model that uses the ambient temperature data and the functional device operating condition data as independent variables and the fan operating condition data as a dependent variable.

9. The method for diagnosing heat exchanger blockage faults in a thermal management system according to claim 8, characterized in that: In step S5, the fan offset value is specifically: Fan offset value (%) = fan operating condition real-time data (%) - fan operating condition reference data (%); In step S6, the fan offset value is greater than a preset threshold value, and the specific judgment method is: Fan offset value (%)>30%.

10. A thermal management system, characterized in that: A heat exchanger fouling fault diagnosis method for a thermal management system according to any one of claims 1 to 9 is applied.

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