Intelligent sensing and control method and apparatus for converter cooling system

Abstract

An intelligent sensing and control method and apparatus for a converter cooling system. The method comprises: acquiring a real-time inlet-outlet coolant temperature difference of a modular cold plate, and a total flow rate; acquiring a water pump heat generation rate according to an operating curve of a water pump; acquiring total heat generated by a primary cooling unit according to the inlet-outlet coolant temperature difference, the total flow rate, and the water pump heat generation rate; acquiring an inlet–outlet temperature difference of an air cooling medium of a heat exchanger; acquiring an operating coefficient of a fan according to an operating state of the fan; acquiring a heat transfer coefficient of a secondary cooling unit according to the total heat generated, the inlet–outlet temperature difference of the air cooling medium, and the operating coefficient; and adjusting the fan according to the heat transfer coefficient. The method accurately monitors converter cooling systems in terms of real-time heat transfer capability and heat transfer coefficient changes, effectively guiding routine inspection, maintenance and operational use such as filter cleaning and fan control strategies, and significantly decreasing the likelihood of over-temperature fault events. The system has the same beneficial effect.

Description

A method and device for intelligent detection and control of a converter cooling system Technical Field

[0001] This application relates to the field of converter cooling technology, and in particular to an intelligent detection and control method and device for a converter cooling system. Background Technology

[0002] With the rapid development of rail transit equipment, the number of rolling stock, including locomotives, EMUs, and urban rail vehicles, is increasing year by year. The number of vehicles operating on a single line and their speed are constantly rising, leading to increasingly stringent requirements for controlling delays and service interruptions. Consequently, operators have a lower tolerance for traction system failures that affect speed limits and cause power loss. Therefore, higher demands are placed on the reliability of converters and their operational reliability under fault conditions.

[0003] Existing converters have basic over-temperature protection for the cooling system of their core IGBT components. However, this protection primarily relies on passive detection through fixed protection thresholds and logic, mainly designed to prevent device operating temperatures from exceeding limits. It lacks sufficient consideration for proactive protection and intelligent early warning systems to address issues like filter blockage leading to reduced cooling capacity. Therefore, while meeting the basic functional requirements of the vehicle's traction system, addressing the over-temperature faults that affect vehicle operation in current industry applications, and developing a reasonable and streamlined converter cooling system circuit and control method to reliably and accurately identify potential faults in advance and implement maintenance measures to reduce the probability and impact of over-temperature faults during mainline operation, achieving intelligent early warning and autonomous real-time monitoring, has become a pressing technical challenge in this field.

[0004] In view of this, an intelligent detection and control method and device for converter cooling systems is provided to effectively guide daily inspection and maintenance and significantly reduce the probability of over-temperature failures, thereby solving the above-mentioned technical problems. Summary of the Invention

[0005] To address the aforementioned technical problems, the present invention aims to provide an intelligent detection and control method and device for a converter cooling system. This method can accurately monitor the real-time heat dissipation capacity and heat dissipation coefficient changes of the converter cooling system, effectively guide daily maintenance and operation such as filter cleaning and fan control strategies, and significantly reduce the probability of over-temperature fault reports.

[0006] The first objective of this invention is to provide an intelligent detection and control method for a converter cooling system;

[0007] The technical solution provided by this invention is as follows:

[0008] A smart detection and control method for a converter cooling system, the converter cooling system comprising a primary cooling unit and a secondary cooling unit, the primary cooling unit comprising a modular cold plate, a water pump, and inlet and outlet pipes; the secondary cooling unit comprising a filter, a heat exchanger, a fan, and a temperature sensor; the smart detection and control method comprising:

[0009] Obtain the real-time inlet and outlet cooling water temperature difference and total flow rate of the module's cold plate;

[0010] The heat output of the water pump is obtained from the working curve of the water pump.

[0011] The total heat output of the primary cooling unit is obtained based on the temperature difference between the inlet and outlet cooling water, the total flow rate, and the heat output of the water pump.

[0012] Obtain the temperature difference between the inlet and outlet air refrigerant of the heat exchanger;

[0013] The operating coefficient of the fan is obtained based on the operating status of the fan.

[0014] The heat dissipation coefficient of the secondary cooling unit is obtained based on the total heat generation, the temperature difference between the inlet and outlet air refrigerant, and the operating coefficient.

[0015] The fan is adjusted according to the heat dissipation coefficient.

[0016] Preferably, obtaining the real-time inlet and outlet cooling water temperature difference and total flow rate of the module cold plate specifically includes:

[0017] The total inlet temperature and total outlet temperature of the module's cold plate are obtained through the control board.

[0018] The real-time inlet and outlet cooling water temperature difference of the module cold plate is calculated based on the total inlet temperature and the total outlet temperature.

[0019] Preferably, obtaining the real-time inlet and outlet cooling water temperature difference and total flow rate of the module cold plate further includes:

[0020] The total inlet water pressure and total outlet water pressure of the module cold plate are obtained through the control board.

[0021] The real-time total flow rate of the module cold plate is calculated based on the total inlet water pressure and the total outlet water pressure.

[0022] Preferably, obtaining the heat output of the water pump based on the pump's operating curve specifically includes:

[0023] The pump operating curve is obtained based on the total inlet water pressure, total outlet water pressure, and heat exchanger flow resistance of the module cold plate.

[0024] The heat output of the water pump is read from the water pump operating curve.

[0025] Preferably, obtaining the total heat output of the primary cooling unit based on the temperature difference between the inlet and outlet cooling water, the total flow rate, and the heat output of the water pump specifically includes:

[0026] The total heat output of the primary cooling unit is calculated based on the temperature difference between the inlet and outlet cooling water, the total flow rate, and the heat output of the water pump. The calculation formula is: Qw=∫ΔUT(t)×Lw(t)×Mw+Lp(t)

[0027] Wherein, Qw represents the total heat generation of the primary cooling unit; ΔUT(t) represents the temperature difference between the inlet and outlet cooling water; Lw(t) represents the total flow rate; Lp(t) represents the heat generation of the water pump; and Mw is generally a constant.

[0028] Preferably, obtaining the temperature difference between the inlet and outlet air refrigerant of the heat exchanger specifically includes:

[0029] The inlet and outlet temperatures of the heat exchanger are obtained through the control board.

[0030] The temperature difference between the inlet and outlet air refrigerant of the heat exchanger is calculated based on the inlet and outlet air temperatures.

[0031] Preferably, obtaining the operating coefficient of the fan based on the fan's operating state specifically includes:

[0032] When the wind turbine switches between different operating modes, the wind turbine's operating status is transmitted to the control board via the vehicle communication interface protocol.

[0033] The working status of the fan at each speed within a comparison time period is used to obtain the working coefficient of the fan.

[0034] Preferably, obtaining the heat dissipation coefficient of the secondary cooling unit based on the total heat generation, the temperature difference between the inlet and outlet air refrigerant, and the operating coefficient specifically includes:

[0035] The heat dissipation coefficient of the secondary cooling unit is calculated based on the total heat generation, the temperature difference between the inlet and outlet air refrigerant, and the operating coefficient. The calculation formula is as follows:

[0036] Wherein, K represents the heat dissipation coefficient of the secondary cooling unit; ΔAT(t) represents the temperature difference between the inlet and outlet air refrigerant; and La(t) represents the operating coefficient.

[0037] Preferably, the time dimension for calculating the heat dissipation coefficient should be no less than 30 minutes, and the selected time should be after the water pump and fan have been running continuously for 1 hour.

[0038] Preferably, adjusting the fan according to the heat dissipation coefficient specifically includes:

[0039] When the heat dissipation coefficient is lower than the preset heat dissipation coefficient threshold, the control unit adjusts the fan speed and increases the air volume.

[0040] The second objective of this invention is to provide an intelligent detection and control device for a converter cooling system;

[0041] The technical solution provided by this invention is as follows:

[0042] An intelligent detection and control device for a converter cooling system, the converter cooling system comprising a primary cooling unit and a secondary cooling unit, the primary cooling unit comprising a module cold plate, a water pump and inlet and outlet pipes; the secondary cooling unit comprising a filter, a heat exchanger, a fan and a temperature sensor;

[0043] The temperature sensors are located at the air inlet and air outlet of the heat exchanger.

[0044] Preferably, the temperature sensor is connected to the converter control chassis via a self-shielded lead wire.

[0045] Preferably, the temperature sensor is a three-core platinum resistance temperature sensor encapsulated in a metal casing.

[0046] Preferably, the distance between the air inlet face of the fan and the air outlet face of the heat exchanger is ≥200mm.

[0047] The third objective of this invention is to provide an electronic device;

[0048] The technical solution provided by this invention is as follows:

[0049] An electronic device, comprising:

[0050] At least one processor; and

[0051] A memory communicatively connected to the at least one processor, the memory storing a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method steps of any one of the intelligent detection and control methods for a converter cooling system.

[0052] A fourth objective of this invention is to provide a computer-readable storage medium;

[0053] The technical solution provided by this invention is as follows:

[0054] A computer-readable storage medium for storing a computer program for causing a computer to execute the steps of any one of the intelligent detection and control methods for a converter cooling system.

[0055] This invention provides an intelligent detection and control method for a converter cooling system, comprising: acquiring the real-time inlet and outlet cooling water temperature difference and total flow rate of the module cold plate; acquiring the water pump heat output based on the water pump's operating curve; acquiring the total heat output of the primary cooling unit based on the inlet and outlet cooling water temperature difference, the total flow rate, and the water pump heat output; acquiring the inlet and outlet air-refrigerant temperature difference of the heat exchanger; acquiring the fan's operating coefficient based on the fan's operating status; acquiring the heat dissipation coefficient of the secondary cooling unit based on the total heat output, the inlet and outlet air-refrigerant temperature difference, and the operating coefficient; and adjusting the fan based on the heat dissipation coefficient. This method can accurately monitor the real-time heat dissipation capacity and heat dissipation coefficient changes of the converter cooling system, effectively guiding daily maintenance and operation such as filter cleaning and fan control strategies, and significantly reducing the probability of over-temperature fault reports.

[0056] The present invention also provides an intelligent detection and control device for a converter cooling system. Since this device and the intelligent detection and control method for the converter cooling system solve the same technical problem and belong to the same technical concept, they should have the same beneficial effects, and will not be described in detail here. Attached Figure Description

[0057] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0058] Figure 1 is a flowchart of an intelligent detection and control method for a converter cooling system according to an embodiment of the present invention;

[0059] Figure 2 is a flowchart of the heat dissipation coefficient calculation in an embodiment of the present invention;

[0060] Figure 3 is a schematic diagram of the structure of an intelligent detection and control device for a converter cooling system in an embodiment of the present invention;

[0061] Figure 4 is a schematic diagram of the connection structure of the temperature sensor in an embodiment of the present invention;

[0062] Figure 5 is a schematic diagram of the installation position of the temperature sensor in an embodiment of the present invention;

[0063] Figure 6 is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0064] To enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0065] It should be noted that when a component is referred to as being "fixed to" or "set on" another component, it can be directly on or indirectly set on the other component; when a component is referred to as being "connected to" another component, it can be directly connected to or indirectly connected to the other component.

[0066] It should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0067] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "a plurality of" or "several" means two or more, unless otherwise explicitly specified.

[0068] It should be noted that the structures, proportions, sizes, etc., shown in the accompanying drawings of this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed in the specification, and are not intended to limit the conditions under which this application can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size should still fall within the scope of the technical content disclosed in this application, provided that they do not affect the effects and purposes that this application can produce.

[0069] As shown in Figure 1, this embodiment of the invention provides an intelligent detection and control method for a converter cooling system. The converter cooling system includes a primary cooling unit and a secondary cooling unit. The primary cooling unit includes a modular cold plate, a water pump, and inlet and outlet pipes. The secondary cooling unit includes a filter, a heat exchanger, a fan, and a temperature sensor. The intelligent detection and control method includes:

[0070] S1. Obtain the real-time inlet and outlet cooling water temperature difference and total flow rate of the module cold plate;

[0071] S2. Obtain the heat output of the water pump based on the pump's operating curve;

[0072] S3. Obtain the total heat output of the primary cooling unit based on the temperature difference between the inlet and outlet cooling water, the total flow rate, and the heat output of the water pump;

[0073] In steps S1 to S3, the real-time temperature difference between the inlet and outlet cooling water of the module cold plate and the total flow rate are obtained, and the heat output of the water pump is obtained according to the working curve of the water pump. Then, the total heat output of the first-stage cooling unit is calculated by the temperature difference between the inlet and outlet cooling water, the total flow rate and the heat output of the water pump for subsequent use.

[0074] S4. Obtain the temperature difference between the inlet and outlet air refrigerant of the heat exchanger;

[0075] S5. Obtain the fan's operating coefficient based on the fan's operating status;

[0076] S6. Obtain the heat dissipation coefficient of the secondary cooling unit based on the total heat generation, the temperature difference between the inlet and outlet air refrigerant, and the operating coefficient;

[0077] In steps S4 to S6, the temperature difference between the inlet and outlet air refrigerant of the heat exchanger is first obtained, then the working coefficient of the fan is obtained according to the working state of the fan, and finally the heat dissipation coefficient of the secondary cooling unit is calculated based on the temperature difference between the inlet and outlet air refrigerant and the working coefficient, combined with the total heat generation of the primary cooling unit.

[0078] S7. Adjust the fan according to the heat dissipation coefficient.

[0079] In step S7, the heat dissipation coefficient of the secondary cooling unit is used as the basis for judging the degree of blockage of the inverter inlet filter and heat dissipation. This effectively guides routine maintenance such as filter cleaning, and early handling and cleaning can significantly reduce the probability of over-temperature fault reports.

[0080] Preferably, obtaining the real-time inlet and outlet cooling water temperature difference and total flow rate of the module cold plate specifically includes:

[0081] The total inlet temperature and total outlet temperature of the module's cold plate are obtained through the control board.

[0082] The real-time inlet and outlet cooling water temperature difference of the module cold plate is calculated based on the total inlet temperature and the total outlet temperature.

[0083] In practical applications, the control board reads the module cold plate's total inlet temperature UTi and total outlet temperature UTout detected by the temperature sensor. The accuracy of the module cold plate's total inlet temperature UTi and total outlet temperature UTout should be ≤0.2℃. Considering the thermal response time of the temperature sensor and the cooling system, the module cold plate's total inlet temperature UTi and total outlet temperature UTout should be subtracted at 1-second intervals to obtain the real-time inlet and outlet cooling water temperature difference ΔUT(t).

[0084] Preferably, obtaining the real-time inlet and outlet cooling water temperature difference and total flow rate of the module cold plate further includes:

[0085] The total inlet water pressure and total outlet water pressure of the module cold plate are obtained through the control board.

[0086] The real-time total flow rate of the module cold plate is calculated based on the total inlet water pressure and the total outlet water pressure.

[0087] In practical applications, the control board reads the total inlet water pressure UPin and the total outlet water pressure UPout of the module cold plate. The accuracy of the total inlet water pressure UPin and the total outlet water pressure UPout of the module cold plate should be ≤0.01 bar. The total inlet water pressure UPin and the total outlet water pressure UPout of the module cold plate are subtracted at 1 second intervals to obtain the pressure difference ΔUP(t), thereby obtaining the real-time total flow rate Lw(t) of the module cold plate. Generally, the total flow rate of the module cold plate is relatively stable after the water pump has been working normally for 1 hour and can be ignored.

[0088] Preferably, obtaining the heat output of the water pump based on the pump's operating curve specifically includes:

[0089] The pump operating curve is obtained based on the total inlet water pressure, total outlet water pressure, and heat exchanger flow resistance of the module cold plate.

[0090] The heat output of the water pump is read from the water pump operating curve.

[0091] In practical applications, the pump head and flow rate are obtained by considering the total inlet and outlet water pressure of the module cold plate and the flow resistance of the heat exchanger. These values ​​are then input into the pump performance curve to obtain the corresponding power output value, i.e., the heat output of the pump.

[0092] Preferably, obtaining the total heat output of the primary cooling unit based on the temperature difference between the inlet and outlet cooling water, the total flow rate, and the heat output of the water pump specifically includes:

[0093] The total heat output of the primary cooling unit is calculated based on the temperature difference between the inlet and outlet cooling water, the total flow rate, and the heat output of the water pump. The calculation formula is: Qw=∫ΔUT(t)×Lw(t)×Mw+Lp(t)

[0094] Wherein, Qw represents the total heat generation of the primary cooling unit; ΔUT(t) represents the temperature difference between the inlet and outlet cooling water; Lw(t) represents the total flow rate; Lp(t) represents the heat generation of the water pump; Mw is generally a constant, which is related to the specific heat capacity of the coolant, fluid density, etc.

[0095] In practical applications, based on the calculated parameters such as the temperature difference between the inlet and outlet cooling water, the total flow rate, and the heat output of the water pump, the total heat output of the primary cooling unit in the converter cooling system within a single time period is calculated using the above formula according to the specified time dimension.

[0096] Preferably, obtaining the temperature difference between the inlet and outlet air refrigerant of the heat exchanger specifically includes:

[0097] The inlet and outlet temperatures of the heat exchanger are obtained through the control board.

[0098] The temperature difference between the inlet and outlet air refrigerant of the heat exchanger is calculated based on the inlet and outlet air temperatures.

[0099] In practical applications, the control board reads the inlet temperature ATi and outlet temperature ATout of the heat exchanger detected by the temperature sensor. The accuracy of the inlet temperature ATi and outlet temperature ATout should be ≤0.2℃. Considering the thermal response time of the temperature sensor and the cooling system, the temperature is calculated at 1 second intervals. Since there is a difference in airflow velocity between the inlet and outlet, the inlet temperature ATi and outlet temperature ATout are subtracted after processing with a conversion factor based on the test results to obtain the real-time inlet and outlet air refrigerant temperature difference ΔAT(t).

[0100] Preferably, obtaining the operating coefficient of the fan based on the fan's operating state specifically includes:

[0101] When the wind turbine switches between different operating modes, the wind turbine's operating status is transmitted to the control board via the vehicle communication interface protocol.

[0102] The working status of the fan at each speed within a comparison time period is used to obtain the working coefficient of the fan.

[0103] In practical applications, when the cooling fan switches between different working modes such as full speed / half speed, the fan working status is transmitted to the control board through the vehicle communication interface protocol. This is equivalent to obtaining the working status of each gear of the fan within the calculation and comparison time of a single set of heat dissipation coefficients. The real-time fan working coefficient La(t) is obtained according to the method based on the test results. In this embodiment, the fan gear switching transition process is equivalently converted to the low gear.

[0104] As shown in Figure 2, preferably, obtaining the heat dissipation coefficient of the secondary cooling unit based on the total heat generation, the temperature difference between the inlet and outlet air refrigerant, and the operating coefficient specifically includes:

[0105] The heat dissipation coefficient of the secondary cooling unit is calculated based on the total heat generation, the temperature difference between the inlet and outlet air refrigerant, and the operating coefficient. The calculation formula is as follows:

[0106] Wherein, K represents the heat dissipation coefficient of the secondary cooling unit; ΔAT(t) represents the temperature difference between the inlet and outlet air refrigerant; and La(t) represents the operating coefficient.

[0107] In practical applications, while ensuring accurate and objective measurement of inlet and outlet air temperatures, the original arrangement of inlet and outlet water temperature sensors remains unchanged. Based on the energy conservation theory and considering parameters such as total heat generation and the temperature difference between inlet and outlet air refrigerant, the heat dissipation coefficient of the secondary air-cooled unit in the converter cooling system is calculated using the above formula over a specified time period. This coefficient serves as a basis for evaluating the degree of blockage of the converter inlet filter and heat dissipation system, effectively guiding routine maintenance such as filter cleaning. Early intervention and cleaning can significantly reduce the probability of positive line over-temperature faults. In this embodiment, the time dimension for calculating the heat dissipation coefficient should be at least 30 minutes, and the selected time should be after the water pump and fan have been operating continuously for 1 hour.

[0108] Preferably, the time dimension for calculating the heat dissipation coefficient should be no less than 30 minutes, and the selected time should be after the water pump and fan have been running continuously for 1 hour.

[0109] Preferably, adjusting the fan according to the heat dissipation coefficient specifically includes:

[0110] When the heat dissipation coefficient is lower than the preset heat dissipation coefficient threshold, the control unit adjusts the fan speed and increases the air volume.

[0111] In practical applications, the minimum target value for a cooling system design is typically to ensure rated cooling capacity is maintained without exceeding the temperature limit even with a 15% reduction in cooling capacity. However, actual cooling system designs often include additional margins for harsh conditions such as low grid voltage and high acceleration. Therefore, there is no fixed constant threshold for adjusting the cooling coefficient-fan speed. For the specific converter model in question, with a fixed maximum water temperature protection threshold, the cooling coefficient-fan speed strategy can be adjusted based on varying ambient temperatures in different seasons. For example, in summer when ambient temperatures are high, this strategy should ensure at least 85% of the cooling capacity is utilized; in winter when ambient temperatures are low, it should ensure at least 50% of the cooling capacity is utilized. Ultimately, by adjusting the fan speed, the water temperature can be safely and stably controlled within a certain range, reducing the occurrence of fault reports due to water temperature exceeding the threshold.

[0112] Therefore, determining whether the heat dissipation coefficient is too low is a concept that needs to be considered in relation to the ambient temperature. For example, the expected water temperature rise under the heat dissipation coefficient can be calculated based on the heat output under rated or equivalent operating conditions, and then the heat exchanger inlet air temperature can be added to confirm whether the water temperature is safe under specific continuous operating conditions and whether it will reach the protection threshold. Under the premise of allowing appropriate lead time and avoiding frequent switching of fan speed, the heat dissipation coefficient-fan speed control strategy should be intelligently confirmed, calibrated, and adjusted in real time.

[0113] As shown in Figure 3, this embodiment of the invention provides an intelligent detection and control device for a converter cooling system. The converter cooling system includes a primary cooling unit 1 and a secondary cooling unit 2. The primary cooling unit 1 includes a modular cold plate 11, a water pump 12, and inlet and outlet pipes 13. The secondary cooling unit 2 includes a filter screen 21, a heat exchanger 22, a fan 23, and a temperature sensor 24.

[0114] The temperature sensors are located at the air inlet and air outlet of the heat exchanger.

[0115] In practical applications, the module cold plate, water pump, and inlet / outlet pipes are classified as the primary cooling unit of the converter cooling system, while the filter, heat exchanger, fan, and temperature sensor are classified as the secondary cooling unit. Specifically, a temperature sensor is installed at the rear end of the heat exchanger's air outlet (which is also the fan's air inlet end face), with no other heat-generating components in between. This allows for the detection of the heat exchanger's inlet and outlet air temperatures, ensuring the accuracy of the inlet temperature sensor's detection. This enables accurate monitoring of the converter cooling system's real-time heat dissipation capacity and heat dissipation coefficient changes, effectively guiding routine maintenance and operation, such as filter cleaning and fan control strategies, and significantly reducing the probability of over-temperature fault reports. Furthermore, the pipe diameters of the temperature sensors at the module's main inlet and outlet should be consistent.

[0116] Preferably, the temperature sensor is a three-core platinum resistance temperature sensor encapsulated in a metal casing.

[0117] In practical applications, as shown in Figure 4, the temperature sensor used is a three-core platinum resistance temperature detector (RTD) sensor with a metal casing. It can convert temperature variables into a standardized output signal that can be transmitted. The sensor is connected to the inverter control chassis via its own shielded lead wire. This sensor has the advantages of small size, light weight, easy suspension and fixation, low cost, and good anti-interference performance. Since the sensor itself is directly fixed to the air inlet by drilling holes and using non-metallic limit clips during installation, thermal isolation between the probe shell and the metal cabinet is achieved. This avoids the interference of the cabinet's heat conduction on the acquisition of air inlet and outlet temperatures, ensuring the detection accuracy of the air inlet temperature sensor.

[0118] Preferably, the distance between the air inlet face of the fan and the air outlet face of the heat exchanger is ≥200mm.

[0119] In practical applications, considering the impact of other heat-generating components in the cooling chamber on the outlet air temperature acquisition, as shown in Figure 5, it was determined that the heat-generating components should be located at the rear end of the fan cavity. Simultaneously, considering the issue of uneven outlet air temperature due to partial blockage of the heat exchanger inlet filter, a requirement was set for the outlet distance between the fan cavity inlet face and the heat exchanger rear end face. This distance was comprehensively set based on flow field uniformity and temperature evenness. Through experiments and simulations, it was verified that an outlet distance ≥ 200mm between the fan cavity inlet face and the heat exchanger rear end face ensures the accuracy of the outlet temperature sensor.

[0120] Furthermore, this application also discloses an electronic device. FIG6 is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the figure should not be considered as any limitation on the scope of use of this application.

[0121] Figure 6 is a schematic diagram of an electronic device provided in an embodiment of this application. The electronic device 20 specifically includes: at least one processor 31, at least one memory 32, a power supply 33, a communication interface 34, an input / output interface 25, and a communication bus 26. The memory 32 stores a computer program, which is loaded and executed by the processor 31 to implement the relevant steps in the intelligent detection and control method for the converter cooling system disclosed in any of the foregoing embodiments. Furthermore, the electronic device 20 in this embodiment can specifically be an electronic computer.

[0122] In this embodiment, the power supply 33 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 34 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0123] In addition, the memory 32, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored thereon can include operating system 221, computer program 222 and data 223, etc., and the storage method can be temporary storage or permanent storage.

[0124] The operating system 221 manages and controls the various hardware devices on the electronic device 20 and the computer program 222 to enable the processor 31 to perform calculations and processing on the data 223 in the memory 32. It can be Windows Server, Netware, Unix, Linux, etc. The computer program 222, in addition to including a computer program capable of performing the intelligent detection and control method for the converter cooling system executed by the electronic device 20 as disclosed in any of the foregoing embodiments, may further include computer programs capable of performing other specific tasks. The data 223 may include data received by the intelligent detection and control device of the converter cooling system from external devices, as well as data collected by its own input / output interface 25.

[0125] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0126] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned intelligent detection and control method for a converter cooling system. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0127] It should be understood that the use of terms such as "method," "apparatus," "unit," and / or "module" in this application is merely to distinguish one method of different components, elements, parts, sections, or assemblies at different levels. However, if other terms can achieve the same purpose, they may be replaced by other expressions.

[0128] As indicated in this application and claims, unless the context clearly indicates otherwise, the words "a," "an," "a," and / or "the" are not specifically singular and may include the plural. Generally, the terms "comprising" and "including" only indicate the inclusion of expressly identified steps and elements, which do not constitute an exclusive list, and the method or apparatus may also include other steps or elements. An element defined by the phrase "comprising an..." does not exclude the presence of other identical elements in the process, method, product, or apparatus that includes the element.

[0129] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.

[0130] If a flowchart is used in this application, it is used to illustrate the operations performed by the system according to embodiments of this application. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, the steps can be processed in reverse order or simultaneously. Furthermore, other operations can be added to these processes, or one or more steps can be removed from them.

[0131] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent detection and control method for a converter cooling system, characterized in that, The converter cooling system includes a primary cooling unit and a secondary cooling unit. The primary cooling unit includes a module cold plate, a water pump, and inlet and outlet pipes. The secondary cooling unit includes a filter, a heat exchanger, a fan, and a temperature sensor. The intelligent detection and control method includes: Obtain the real-time inlet and outlet cooling water temperature difference and total flow rate of the module's cold plate; The heat output of the water pump is obtained from the working curve of the water pump. The total heat output of the primary cooling unit is obtained based on the temperature difference between the inlet and outlet cooling water, the total flow rate, and the heat output of the water pump. Obtain the temperature difference between the inlet and outlet air refrigerant of the heat exchanger; The operating coefficient of the fan is obtained based on the operating status of the fan. The heat dissipation coefficient of the secondary cooling unit is obtained based on the total heat generation, the temperature difference between the inlet and outlet air refrigerant, and the operating coefficient. The fan is adjusted according to the heat dissipation coefficient.

2. The intelligent detection and control method for a converter cooling system according to claim 1, characterized in that, The process of obtaining the real-time inlet and outlet cooling water temperature difference and total flow rate of the module's cold plate specifically includes: The total inlet temperature and total outlet temperature of the module's cold plate are obtained through the control board. The real-time inlet and outlet cooling water temperature difference of the module cold plate is calculated based on the total inlet temperature and the total outlet temperature.

3. The intelligent detection and control method for a converter cooling system according to claim 2, characterized in that, The process of obtaining the real-time inlet and outlet cooling water temperature difference and total flow rate of the module's cold plate further includes: The total inlet water pressure and total outlet water pressure of the module cold plate are obtained through the control board. The real-time total flow rate of the module cold plate is calculated based on the total inlet water pressure and the total outlet water pressure.

4. The intelligent detection and control method for a converter cooling system according to claim 3, characterized in that, The step of obtaining the heat output of the water pump based on the pump's operating curve specifically includes: The pump operating curve is obtained based on the total inlet water pressure, total outlet water pressure, and heat exchanger flow resistance of the module cold plate. The heat output of the water pump is read from the water pump operating curve.

5. The intelligent detection and control method for a converter cooling system according to claim 1, characterized in that, The step of obtaining the total heat output of the primary cooling unit based on the temperature difference between the inlet and outlet cooling water, the total flow rate, and the heat output of the water pump specifically includes: The total heat output of the primary cooling unit is calculated based on the temperature difference between the inlet and outlet cooling water, the total flow rate, and the heat output of the water pump. The calculation formula is as follows: Qw=∫ΔUT(t)×Lw(t)×Mw+Lp(t) Wherein, Qw represents the total heat generation of the primary cooling unit; ΔUT(t) represents the temperature difference between the inlet and outlet cooling water; Lw(t) represents the total flow rate; Lp(t) represents the heat generation of the water pump; and Mw is generally a constant.

6. The intelligent detection and control method for a converter cooling system according to claim 3, characterized in that, The process of obtaining the refrigerant temperature difference between the inlet and outlet air of the heat exchanger specifically includes: The inlet and outlet temperatures of the heat exchanger are obtained through the control board. The temperature difference between the inlet and outlet air refrigerant of the heat exchanger is calculated based on the inlet and outlet air temperatures.

7. The intelligent detection and control method for a converter cooling system according to claim 6, characterized in that, The step of obtaining the operating coefficient of the fan based on the operating state of the fan specifically includes: When the wind turbine switches between different operating modes, the wind turbine's operating status is transmitted to the control board via the vehicle communication interface protocol. The working status of the fan at each speed within a comparison time period is used to obtain the working coefficient of the fan.

8. The intelligent detection and control method for a converter cooling system according to claim 1, characterized in that, The step of obtaining the heat dissipation coefficient of the secondary cooling unit based on the total heat generation, the temperature difference between the inlet and outlet air refrigerant, and the operating coefficient specifically includes: The heat dissipation coefficient of the secondary cooling unit is calculated based on the total heat generation, the temperature difference between the inlet and outlet air refrigerant, and the operating coefficient. The calculation formula is as follows: Wherein, K represents the heat dissipation coefficient of the secondary cooling unit; ΔAT(t) represents the temperature difference between the inlet and outlet air refrigerant; and La(t) represents the operating coefficient.

9. The intelligent detection and control method for a converter cooling system according to claim 8, characterized in that, The time dimension for calculating the heat dissipation coefficient should be no less than 30 minutes, and the selected time should be after the water pump and fan have been running continuously for 1 hour.

10. The intelligent detection and control method for a converter cooling system according to claim 1, characterized in that, The adjustment of the fan according to the heat dissipation coefficient specifically includes: When the heat dissipation coefficient is lower than the preset heat dissipation coefficient threshold, the control unit adjusts the fan speed and increases the air volume.

11. An intelligent detection and control device for a converter cooling system, characterized in that, The converter cooling system includes a primary cooling unit and a secondary cooling unit. The primary cooling unit includes a module cold plate, a water pump, and inlet and outlet pipes. The secondary cooling unit includes a filter, a heat exchanger, a fan, and a temperature sensor. The temperature sensors are located at the air inlet and air outlet of the heat exchanger.

12. The intelligent detection and control device for the converter cooling system according to claim 11, characterized in that, The temperature sensor is connected to the converter control chassis via its own shielded leads.

13. The intelligent detection and control device for the converter cooling system according to claim 12, characterized in that, The temperature sensor is a three-core platinum resistance temperature detector (RTD) sensor encapsulated in a metal casing.

14. The intelligent detection and control device for the converter cooling system according to claim 11, characterized in that, The distance between the air inlet face of the fan and the air outlet face of the heat exchanger is ≥200mm.

15. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor, the memory storing a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 10.

16. A computer-readable storage medium, characterized in that, The storage medium is used to store a computer program that causes a computer to perform the method according to any one of claims 1 to 10.

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