Cooling system testing method and device, computer equipment and storage medium

Abstract

The invention relates to a cooling system testing method and device, computer equipment and a storage medium. The method comprises the following steps: determining multiple groups of test parameter data of cooling liquid in the cooling system; wherein the test parameter data comprises test flow data, test temperature data and temperature control precision; when the cooling system is in the target state, adjusting the state of the cooling system, and controlling the cooling system to be in a simulated working state; when the cooling system is in the simulated working state, the temperature and flow of cooling liquid in the cooling system are adjusted according to the multiple sets of test parameter data; in the process of adjusting the temperature and the flow of the cooling liquid in the cooling system, the temperature and the flow of the cooling liquid in the cooling system are monitored in real time, multiple sets of monitoring data are obtained, and the testing result of the cooling system is determined according to the multiple sets of monitoring data. The method can improve the testing flexibility and reliability of the cooling system.

Description

Technical Field

[0001] The present application relates to the field of fuel cell technology, and in particular to a cooling system testing method, device, computer equipment, storage medium and computer program product. Background Art

[0002] As a clean and efficient energy conversion device, the core advantage of fuel cells lies in high energy conversion efficiency and zero emissions, but a large amount of heat is generated during their operation. If the heat cannot be effectively dissipated, the temperature of the fuel cell may be too high, affecting its efficiency and life, and even causing failure. Therefore, the design and testing of the fuel cell cooling system has become an important part of ensuring the performance of the fuel cell.

[0003] The design of the cooling system not only needs to ensure that the fuel cell can maintain an appropriate temperature range during operation, but also needs to cope with heat changes under different workloads and environmental conditions. Therefore, how to effectively test the performance of the fuel cell cooling system, especially the effect of the coolant flow, temperature and pressure on the heat dissipation effect, has become a research focus. In the prior art, the test method of the fuel cell cooling system mostly uses fixed coolant flow, temperature and pressure conditions to test the cooling system.

[0004] However, these traditional testing methods use fixed coolant flow, temperature and pressure conditions and can only test the cooling system under a single environment. They lack flexibility and thus reduce the reliability of cooling system testing in actual applications. Summary of the invention

[0005] Based on this, it is necessary to provide a cooling system testing method, device, computer equipment, computer-readable storage medium and computer program product that can improve the flexibility and reliability of cooling system testing in order to address the above technical problems.

[0006] In a first aspect, the present application provides a cooling system testing method, comprising:

[0007] Determine multiple groups of test parameter data of the coolant in the cooling system; wherein the test parameter data includes test flow data, test temperature data and temperature control accuracy;

[0008] When the cooling system is in the target state, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state;

[0009] When the cooling system is in a simulated working state, the temperature and flow rate of the coolant in the cooling system are adjusted according to multiple sets of test parameter data;

[0010] During the process of adjusting the temperature and flow rate of the coolant in the cooling system, the temperature and flow rate of the coolant in the cooling system are monitored in real time to obtain multiple sets of monitoring data, and the test results of the cooling system are determined based on the multiple sets of monitoring data.

[0011] In one embodiment, when the cooling system is in a simulated working state, the temperature and flow rate of the coolant in the cooling system are adjusted according to multiple sets of test parameter data, including:

[0012] When the cooling system is in a simulated working state, the actual flow rate of the coolant is obtained, and the flow rate of the coolant in the cooling system is adjusted according to the actual flow rate and the test flow rate data;

[0013] When the cooling system is in a simulated working state, the actual temperature of the coolant is obtained, and the temperature of the coolant in the cooling system is adjusted according to the actual temperature, the test temperature data and the temperature control accuracy.

[0014] In one embodiment, determining a test result of a cooling system according to multiple sets of monitoring data includes:

[0015] Based on multiple sets of monitoring data, the heat dissipation performance of the cooling system is evaluated to determine the test results of the cooling system.

[0016] In one embodiment, the method further comprises:

[0017] Determine a preset optimization target for the cooling system, compare the test result of the cooling system with the preset optimization target, and obtain a comparison result;

[0018] According to the comparison results and the multiple sets of monitoring data, the optimization amounts corresponding to the multiple sets of monitoring data are determined;

[0019] According to the optimization quantities corresponding to multiple sets of monitoring data, an adaptive control algorithm is used to optimize the cooling system.

[0020] In one embodiment, when the cooling system is in a target state, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state, including:

[0021] Determine the simulated working parameters corresponding to the cooling system under the simulated working state;

[0022] When the cooling system is in a target state, obtaining the to-be-adjusted data corresponding to the cooling system in the target state;

[0023] According to the simulated working parameters and the data to be adjusted, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state.

[0024] In one embodiment, the simulated working parameters include simulated temperature data and simulated flow data, and the data to be adjusted include temperature data to be adjusted and flow data to be adjusted; the method further includes:

[0025] Compare the temperature data to be adjusted and the flow data to be adjusted with the simulated temperature data and the simulated flow data to determine the deviation data between the target state and the simulated working state;

[0026] According to the deviation data, the temperature data to be adjusted and the flow data to be adjusted are adjusted to put the cooling system in a simulated working state.

[0027] In a second aspect, the present application also provides a cooling system testing device, comprising:

[0028] A determination module, used to determine multiple groups of test parameter data of the coolant in the cooling system; wherein the test parameter data includes test flow data, test temperature data and temperature control accuracy;

[0029] A simulation module, used to adjust the state of the cooling system when the cooling system is in a target state, and control the cooling system to be in a simulated working state;

[0030] An adjustment module, used to adjust the temperature and flow rate of the coolant in the cooling system according to multiple groups of test parameter data when the cooling system is in a simulated working state;

[0031] The test module is used to monitor the temperature and flow of the coolant in the cooling system in real time during the process of adjusting the temperature and flow of the coolant in the cooling system, obtain multiple groups of monitoring data, and determine the test results of the cooling system based on the multiple groups of monitoring data.

[0032] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0033] Determine multiple groups of test parameter data of the coolant in the cooling system; wherein the test parameter data includes test flow data, test temperature data and temperature control accuracy;

[0034] When the cooling system is in the target state, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state;

[0035] When the cooling system is in a simulated working state, the temperature and flow rate of the coolant in the cooling system are adjusted according to multiple sets of test parameter data;

[0036] During the process of adjusting the temperature and flow rate of the coolant in the cooling system, the temperature and flow rate of the coolant in the cooling system are monitored in real time to obtain multiple sets of monitoring data, and the test results of the cooling system are determined based on the multiple sets of monitoring data.

[0037] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0038] Determine multiple groups of test parameter data of the coolant in the cooling system; wherein the test parameter data includes test flow data, test temperature data and temperature control accuracy;

[0039] When the cooling system is in the target state, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state;

[0040] When the cooling system is in a simulated working state, the temperature and flow rate of the coolant in the cooling system are adjusted according to multiple sets of test parameter data;

[0041] During the process of adjusting the temperature and flow rate of the coolant in the cooling system, the temperature and flow rate of the coolant in the cooling system are monitored in real time to obtain multiple sets of monitoring data, and the test results of the cooling system are determined based on the multiple sets of monitoring data.

[0042] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0043] Determine multiple groups of test parameter data of the coolant in the cooling system; wherein the test parameter data includes test flow data, test temperature data and temperature control accuracy;

[0044] When the cooling system is in the target state, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state;

[0045] When the cooling system is in a simulated working state, the temperature and flow rate of the coolant in the cooling system are adjusted according to multiple sets of test parameter data;

[0046] During the process of adjusting the temperature and flow rate of the coolant in the cooling system, the temperature and flow rate of the coolant in the cooling system are monitored in real time to obtain multiple sets of monitoring data, and the test results of the cooling system are determined based on the multiple sets of monitoring data.

[0047] The above-mentioned cooling system testing method, device, computer equipment, storage medium and computer program product determine multiple sets of test parameter data of coolant in the cooling system; wherein the test parameter data include test flow data, test temperature data and temperature control accuracy; when the cooling system is in the target state, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state; when the cooling system is in the simulated working state, the temperature and flow of the coolant in the cooling system are adjusted according to the multiple sets of test parameter data; in the process of adjusting the temperature and flow of the coolant in the cooling system, the temperature and flow of the coolant in the cooling system are monitored in real time to obtain multiple sets of monitoring data, and the test results of the cooling system are determined according to the multiple sets of monitoring data, which can improve the flexibility and reliability of cooling system testing. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] FIG1 is an application environment diagram of a cooling system testing method according to an embodiment;

[0050] FIG2 is a schematic flow chart of a cooling system testing method in one embodiment;

[0051] FIG3 is a schematic diagram of a process for optimizing a cooling system in one embodiment;

[0052] FIG4 is a block diagram of a cooling system testing device according to an embodiment;

[0053] FIG. 5 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0055] The cooling system test method provided in the embodiment of the present application can be applied to the application environment shown in Figure 1. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The terminal 102 sends a cooling system test request to the server 104, and the server 104 receives the cooling system test request and determines multiple sets of test parameter data of the coolant in the cooling system; wherein the test parameter data includes test flow data, test temperature data and temperature control accuracy; when the cooling system is in the target state, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state; when the cooling system is in a simulated working state, the temperature and flow of the coolant in the cooling system are adjusted according to the multiple sets of test parameter data; in the process of adjusting the temperature and flow of the coolant in the cooling system, the temperature and flow of the coolant in the cooling system are monitored in real time to obtain multiple sets of monitoring data, and the test results of the cooling system are determined according to the multiple sets of monitoring data. The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0056] In an exemplary embodiment, as shown in FIG2 , a cooling system testing method is provided, which is described by taking the method applied to the server in FIG1 as an example, and includes the following steps 202 to 208 . Among them:

[0057] Step 202: When the cooling system is in the target state, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state.

[0058] The cooling system being in the target state means that the cooling system is in a non-working state, and controlling the cooling system to be in a simulated working state means the working state of the simulated cooling system during actual operation.

[0059] When the cooling system is in a non-operating state, a control method is used to change the current state of the cooling system so that the cooling system meets the requirements of the working state during actual operation. When the cooling system is in a non-operating state, the coolant in the cooling system is in a static state. The circulation path is opened by the control method so that the coolant begins to flow in the cooling system, thereby simulating the coolant flow behavior when the cooling system is working normally. Exemplarily, according to the operating requirements of the fuel cell, the simulated operating parameters of the coolant in the cooling system are set, that is, by adjusting the coolant temperature data and flow data to simulate the working state of the cooling system during actual operation. Specifically, the control algorithm can be used to accurately adjust the pressure data, temperature data, flow data, etc. of the cooling system according to the deviation between the current state (feedback data) of the coolant and the simulated working state.

[0060] Adjust the state of the cooling system and control the cooling system in a simulated working state, which can restore the flow, temperature and pressure changes of the coolant in the actual application cooling system. By simulating the working state of the cooling system during actual operation, the cooling system can be tested more comprehensively and accurately.

[0061] Step 204, determining multiple groups of test parameter data of the coolant in the cooling system; wherein the test parameter data includes test flow data, test temperature data and temperature control accuracy.

[0062] Among them, the test parameter data refers to the collection of all relevant data for evaluating and controlling the performance of the cooling system, which is used to reflect the state of the coolant in the operation of the cooling system. Flow data refers to the flow volume of the coolant in the pipeline per unit time. The coolant flow directly affects the heat transfer and heat dissipation efficiency of the fuel cell. Insufficient flow may cause heat accumulation, and excessive flow may cause excessive energy consumption or uneven cooling. Therefore, determining the test flow data of the coolant in the cooling system can test the heat dissipation effect of the coolant at different flow rates and the response of the system to flow changes under different load conditions. Temperature data refers to the temperature value of the coolant at each point in the cooling system, which can include the inlet temperature, outlet temperature, intermediate temperature during the cycle, etc. By monitoring the temperature difference (such as the inlet and outlet temperature difference), the heat dissipation efficiency of the cooling system can be calculated. The test temperature data of the coolant in the cooling system can be the inlet temperature of the coolant. Through the test temperature data, the influence of different temperature conditions on the cooling efficiency of the cooling system can be tested.

[0063] Step 206, when the cooling system is in a simulated working state, the temperature and flow rate of the coolant in the cooling system are adjusted according to the multiple groups of test parameter data.

[0064] Under different load conditions, the thermal load of the fuel cell is different, so the coolant flow rate and temperature required in the cooling system are also different. When the cooling system is in a simulated working state, the cooling system can be tested by testing the heat dissipation efficiency of the cooling system under different temperature and flow conditions. Optionally, according to the experimental requirements, several sets of test parameter data that need to be tested are determined. The test parameter data may include the test flow data, test temperature data and temperature control accuracy of the coolant. Subsequently, the relevant parameters of the cooling system are adjusted according to these test parameter data to ensure that the cooling system can operate according to the specified conditions, thereby providing an accurate and stable environment for subsequent tests. By adjusting the temperature and flow rate of the coolant in the cooling system, the cooling system can effectively simulate various states in actual work, provide a reliable data basis for further analysis of its performance and optimization of design, and at the same time be able to test the performance of the cooling system under actual load conditions.

[0065] Step 208, during the process of adjusting the temperature and flow of the coolant in the cooling system, the temperature and flow of the coolant in the cooling system are monitored in real time to obtain multiple sets of monitoring data, and the test results of the cooling system are determined based on the multiple sets of monitoring data.

[0066] Optionally, during the coolant circulation process of the cooling system, the performance of the cooling system under different conditions can be tested by controlling the cooling system to monitor the changes in the coolant flow, temperature and pressure. For example, through data acquisition (such as flow, temperature, pressure, etc.), analyze how the cooling system responds to different flow and temperature combinations, and then evaluate the heat dissipation effect, pressure change, stability, etc. of the cooling system. Specifically, in the process of adjusting the temperature and flow of the coolant in the cooling system, the flow rate, inlet temperature, outlet temperature, amplitude of temperature change and time data of the coolant are detected and recorded. Through the flow rate, inlet temperature, outlet temperature, amplitude of temperature change and time data of the coolant, the heat absorbed and dissipated by the coolant can be calculated, and then the heat dissipation performance of the cooling system (i.e., the test results) can be determined, and it can be analyzed whether the cooling system can control the temperature within the set range, and whether the cooling system can quickly adapt and remain stable when facing different load conditions.

[0067] In the above cooling system testing method, when the cooling system is in the target state, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state, which can restore the flow, temperature and pressure changes of the coolant in the actual application cooling system, thereby testing the cooling system more comprehensively and accurately; determine multiple sets of test parameter data of the coolant in the cooling system; wherein the test parameter data include test flow data, test temperature data and temperature control accuracy; when the cooling system is in a simulated working state, the temperature and flow of the coolant in the cooling system are adjusted according to the multiple sets of test parameter data, so that the cooling system can effectively simulate various states in actual work, and provide a reliable data basis for further analyzing its performance and optimizing the design, and at the same time, the performance of the cooling system under actual load conditions can be tested; in the process of adjusting the temperature and flow of the coolant in the cooling system, the temperature and flow of the coolant in the cooling system are monitored in real time to obtain multiple sets of monitoring data, and the test results of the cooling system are determined according to the multiple sets of monitoring data, which can analyze the performance of the cooling system when facing different load conditions, thereby improving the flexibility and reliability of the cooling system test.

[0068] In an exemplary embodiment, when the cooling system is in a target state, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state, including: determining simulated working parameters corresponding to the cooling system in the simulated working state; when the cooling system is in the target state, obtaining data to be adjusted corresponding to the cooling system in the target state; according to the simulated working parameters and the data to be adjusted, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state.

[0069] According to the operation requirements of the fuel cell, that is, according to the working state of the coolant in the cooling system during actual operation, the simulated working parameters corresponding to the cooling system in the simulated working state are set. When the cooling system is in a non-working state, the corresponding data to be adjusted for the cooling system in the non-working state is obtained, the simulated working parameters are compared with the data to be adjusted, and then the cooling system is adjusted according to the comparison result to control the cooling system in the simulated working state.

[0070] Since the fuel cell does not work during the test of the cooling system, the water pump originally used to circulate the coolant in the fuel cell cooling system will not actually operate. Therefore, in order to control the cooling system to be in a simulated working state, it is necessary to simulate the working state of the water pump, that is, it is necessary to control the flow of the coolant through an external device. Among them, the external device may include an external circulation motor, a belt tensioning mechanism, a servo motor, etc. Exemplarily, the external circulation motor is connected to the water pump through a belt tensioning mechanism, that is, the external circulation motor drives the fuel cell water pump to operate through the belt tensioning mechanism, and the belt tensioning mechanism can transmit the rotation of the external circulation motor to the water pump, so that the water pump starts to rotate. The external circulation motor is connected to the servo motor, and the servo motor is used to adjust the speed of the external circulation motor to achieve control of the speed of the water pump. By accurately controlling the speed of the servo motor, the speed of the water pump can be controlled, and the speed of the water pump is directly related to the flow rate of the coolant. Therefore, controlling the speed of the water pump can achieve a change in the flow rate of the coolant. When the speed of the water pump reaches the set value, the coolant flow rate can be stabilized within the required range (i.e., within the simulated working parameter range). At this time, the water pump is already within the coolant flow rate of the simulated cooling system under normal working conditions.

[0071] During the simulation of the working state of the water pump, the coolant flow is monitored in real time to ensure that the coolant flow can be stabilized within the required range (i.e., within the range of simulated working parameters), thereby keeping the cooling system in a simulated working state. Optionally, when there is a deviation between the simulated working parameters and the data to be adjusted, the servo motor is automatically adjusted to change the speed of the water pump to achieve the desired simulated working parameters.

[0072] In the previous exemplary embodiment, the simulated working parameters include simulated temperature data and simulated flow data, and the data to be adjusted include temperature data to be adjusted and flow data to be adjusted; the method also includes: comparing the temperature data to be adjusted and the flow data to be adjusted with the simulated temperature data and the simulated flow data to determine the deviation data between the target state and the simulated working state; according to the deviation data, adjusting the temperature data to be adjusted and the flow data to be adjusted so that the cooling system is in a simulated working state.

[0073] Optionally, in the process of controlling the state of the cooling system, the change of the current coolant flow (i.e., the flow data to be adjusted) is monitored in real time. If a flow deviation is detected between the flow data to be adjusted and the simulated flow data, the speed of the external circulation motor is automatically adjusted, and the speed of the water pump is corrected, thereby adjusting the coolant flow data to be adjusted so that the coolant flow in the current cooling system reaches the coolant flow data when the cooling system is actually working. Similarly, if a temperature deviation is detected between the temperature data to be adjusted and the simulated temperature data, the temperature data to be adjusted for the coolant is automatically adjusted so that the coolant temperature in the current cooling system reaches the coolant temperature data when the cooling system is actually working.

[0074] For example, the simulated working parameters and the data to be adjusted are compared in real time, and the deviation data between the target state and the simulated working state is calculated, that is, the deviation data between the simulated working parameters and the data to be adjusted is determined. The control strategy of the coolant is adjusted according to the deviation data, so that the data to be adjusted gradually approaches the simulated working parameters, thereby putting the cooling system in a simulated working state, and being able to truly restore the actual application scenario of the cooling system.

[0075] In this embodiment, the deviation data is used to adjust the temperature data to be adjusted and the flow data to be adjusted to ensure that the cooling system gradually approaches and stabilizes in the simulated working state, which can significantly reduce the impact of the fluctuation of the cooling system parameters and improve the stability of the cooling system simulation. At the same time, putting the cooling system in a simulated working state can enhance the accuracy of the cooling system test data, thereby improving the reliability of the test results.

[0076] In an exemplary embodiment, the temperature and flow rate of the coolant in the cooling system are adjusted according to multiple sets of test parameter data, including: when the cooling system is in a simulated working state, the actual flow rate of the coolant is obtained, and the flow rate of the coolant in the cooling system is adjusted according to the actual flow rate and the test flow rate data; when the cooling system is in a simulated working state, the actual temperature of the coolant is obtained, and the temperature of the coolant in the cooling system is adjusted according to the actual temperature, the test temperature data and the temperature control accuracy.

[0077] In practical applications, the working state and load of fuel cells change dynamically. Fuel cells will have different heat dissipation requirements under different loads, and the cooling system of the fuel cell requires different coolant flow rates to maintain the stable operation of the fuel cell. For example, when the fuel cell is in a low-load state, the required heat dissipation is less, so the coolant flow rate requirement is relatively small. Under high-load conditions, the fuel cell generates more heat, and the cooling system needs to provide a higher coolant flow rate to provide a higher heat dissipation capacity. Therefore, the flow rate and temperature of the coolant can be adjusted according to different load conditions and different working conditions (such as high temperature, low temperature, etc.) to test the performance of the cooling system under different loads.

[0078] Before testing the cooling system, set the test flow data and test temperature data of the coolant according to the experimental requirements. The test flow data is the flow data required by the cooling system during the test, and the test temperature data is the temperature data required by the cooling system during the test. Different test flow data and test temperature data can be set according to different working conditions or loads.

[0079] Optionally, when the cooling system is in a simulated working state, the actual flow rate of the coolant is obtained, and the actual flow rate is compared with the preset test flow rate data. According to the difference between the two, the flow rate of the coolant is adjusted to ensure that the actual flow rate gradually approaches the test flow rate data. For example, the speed of the water pump can be continuously adjusted according to the experimental needs to simulate the flow change of the coolant under different load conditions, so that the actual flow rate gradually approaches the test flow rate data. At the same time, the actual temperature of the coolant is obtained, and the temperature of the coolant is dynamically adjusted in combination with the preset test temperature data and the set temperature control accuracy requirements to reach the target range of the test temperature data. For example, the coolant is extracted from the main coolant pipeline of the fuel cell, heated by the heater, and then injected back into the cooling system, so that the actual temperature of the coolant reaches the target range of the test temperature data.

[0080] In the previous exemplary embodiment, determining the test result of the cooling system according to the multiple sets of monitoring data includes: evaluating the heat dissipation performance of the cooling system according to the multiple sets of monitoring data to determine the test result of the cooling system.

[0081] In the process of adjusting the temperature and flow of the coolant in the cooling system, the temperature and flow of the coolant in the cooling system are monitored in real time to obtain multiple sets of monitoring data, and the heat dissipation performance of the cooling system is evaluated based on the multiple sets of monitoring data. When evaluating the heat dissipation performance of the cooling system, it is necessary to conduct a comprehensive analysis of multiple data such as temperature, flow, and pressure to evaluate whether the coolant effectively takes away the heat generated by the fuel cell, and then determine the test results of the cooling system, so as to obtain the heat dissipation performance of the cooling system under different loads.

[0082] Optionally, the test results of the cooling system are determined by analyzing and evaluating multiple sets of monitoring data, which mainly record the flow and temperature data of the coolant. Based on the monitoring data, the changes in the flow and temperature data during the heat dissipation of the cooling system can be determined. Exemplarily, multiple sets of monitoring data are analyzed to evaluate the heat dissipation performance of the cooling system under different combinations of temperature and flow data, which may include the heat dissipation performance, heat dissipation efficiency, temperature fluctuation amplitude, and flow stability of the cooling system under high temperature and high flow or low temperature and low flow. Based on the evaluation results, it is comprehensively judged whether the cooling system meets the heat dissipation requirements or operating standards, and finally the test results of the cooling system are obtained.

[0083] In this embodiment, the actual flow rate and actual temperature of the coolant are adjusted to match the corresponding test flow rate data and test temperature data, so that the test process of the cooling system can be carried out under strictly defined conditions, ensuring the reliability and accuracy of the cooling system test results. By using multiple sets of monitoring data to evaluate the heat dissipation performance of the cooling system, the heat dissipation performance of the cooling system under different loads can be determined, thereby improving the flexibility of the cooling system test. At the same time, the determined test results of the cooling system can provide accurate experimental data for the optimization of the cooling system and provide decision support for subsequent engineering improvements.

[0084] In an exemplary embodiment, as shown in FIG3 , the method further includes steps 302 to 306. Among them:

[0085] Step 302, determining a preset optimization target of the cooling system, comparing the test result of the cooling system with the preset optimization target, and obtaining a comparison result.

[0086] Step 304: Determine the optimization amounts corresponding to the multiple sets of monitoring data according to the comparison results and the multiple sets of monitoring data.

[0087] Step 306: optimize the cooling system using an adaptive control algorithm according to the optimization quantities corresponding to the multiple sets of monitoring data.

[0088] Exemplarily, the preset optimization goals that the cooling system needs to achieve are determined, such as specific heat dissipation performance and heat dissipation efficiency. The test results of the cooling system are compared and analyzed with the preset optimization goals to identify the gap or shortcomings between the current performance of the cooling system and the preset optimization goals. The gap between the current performance of the cooling system and the preset optimization goals is presented in the form of comparison results, which may specifically include which performance indicators are not up to standard and their specific deviation data. Based on the multiple sets of monitoring data (such as temperature and flow data) collected during the test, combined with the comparison results, the optimization amount that needs to be adjusted for the test variables (such as temperature and flow data) is further calculated, that is, it is clear how much each test variable needs to be adjusted to get closer to the preset target. For example, if the flow rate of the coolant is found to be low, the optimization amount will indicate the specific magnitude of the increase in flow.

[0089] Based on the preset optimization goals and the collected monitoring data and test results, the cooling system is given closed-loop feedback to automatically adjust the water pump speed, flow and temperature, optimize the flow of coolant in the cooling system and the temperature control process, so that the cooling system gradually approaches or reaches the preset optimization goals, thereby ensuring that the cooling system always remains in the best working condition.

[0090] In this implementation, based on the preset optimization goals and the collected monitoring data and test results, the coolant flow and temperature data are adaptively optimized to ensure that the heat dissipation efficiency of the cooling system under different working conditions reaches the optimal state; the heat dissipation performance of the cooling system is optimized through an adaptive control algorithm to improve the reliability and stability of the cooling system.

[0091] In another embodiment, a cooling system testing method is provided, the method comprising:

[0092] Determine the simulated working parameters corresponding to the cooling system under the simulated working state; when the cooling system is in the target state, obtain the data to be adjusted corresponding to the cooling system in the target state; adjust the state of the cooling system according to the simulated working parameters and the data to be adjusted, and control the cooling system to be in the simulated working state.

[0093] The simulated working parameters include simulated temperature data and simulated flow data, and the data to be adjusted include temperature data to be adjusted and flow data to be adjusted; the temperature data to be adjusted and the flow data to be adjusted are compared with the simulated temperature data and the simulated flow data to determine the deviation data between the target state and the simulated working state; according to the deviation data, the temperature data to be adjusted and the flow data to be adjusted are adjusted to put the cooling system in a simulated working state.

[0094] Determine multiple groups of test parameter data of the coolant in the cooling system; wherein the test parameter data includes test flow data, test temperature data and temperature control accuracy;

[0095] When the cooling system is in a simulated working state, the actual flow rate of the coolant is obtained, and the flow rate of the coolant in the cooling system is adjusted according to the actual flow rate and the test flow rate data; when the cooling system is in a simulated working state, the actual temperature of the coolant is obtained, and the temperature of the coolant in the cooling system is adjusted according to the actual temperature, the test temperature data and the temperature control accuracy.

[0096] During the process of adjusting the temperature and flow rate of the coolant in the cooling system, the temperature and flow rate of the coolant in the cooling system are monitored in real time to obtain multiple groups of monitoring data.

[0097] Based on multiple sets of monitoring data, the heat dissipation performance of the cooling system is evaluated to determine the test results of the cooling system.

[0098] Determine the preset optimization target of the cooling system, compare the test results of the cooling system with the preset optimization target, and obtain the comparison result; determine the optimization amount corresponding to the multiple sets of monitoring data based on the comparison result and multiple sets of monitoring data; and optimize the cooling system using an adaptive control algorithm based on the optimization amount corresponding to the multiple sets of monitoring data.

[0099] In this embodiment, the temperature data to be adjusted and the flow data to be adjusted are adjusted to ensure that the cooling system gradually approaches and stabilizes in the simulated working state, which can significantly reduce the influence of the fluctuation of the cooling system parameters and improve the stability of the cooling system simulation. At the same time, the cooling system is in a simulated working state, which can enhance the accuracy of the cooling system test data, thereby improving the reliability of the test results. The actual flow rate and actual temperature of the coolant are adjusted to match the corresponding test flow data and test temperature data, so that the test process of the cooling system can be carried out under strictly defined conditions, ensuring the reliability and accuracy of the cooling system test results. Using multiple sets of monitoring data, the heat dissipation performance of the cooling system is evaluated, and the heat dissipation performance of the cooling system under different loads can be determined, thereby improving the flexibility of the cooling system test. At the same time, the test results of the cooling system determined can provide accurate experimental data for the optimization of the cooling system and provide decision support for subsequent engineering improvements. Based on the preset optimization target and the collected monitoring data and test results, the coolant flow rate and temperature data are adaptively optimized to ensure that the heat dissipation efficiency of the cooling system under different working conditions reaches the optimal state; the heat dissipation performance of the cooling system is optimized by the adaptive control algorithm, and the reliability and stability of the cooling system are improved.

[0100] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0101] Based on the same inventive concept, the embodiment of the present application also provides a cooling system testing device for implementing the cooling system testing method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more cooling system testing device embodiments provided below can refer to the limitations of the cooling system testing method above, and will not be repeated here.

[0102] In an exemplary embodiment, as shown in FIG. 4 , a cooling system testing device is provided, including: a determination module 402 , a simulation module 404 , an adjustment module 406 and a testing module 408 , wherein:

[0103] The determination module 402 is used to determine multiple groups of test parameter data of the coolant in the cooling system; wherein the test parameter data includes test flow data, test temperature data and temperature control accuracy;

[0104] A simulation module 404, used for adjusting the state of the cooling system when the cooling system is in a target state, and controlling the cooling system to be in a simulated working state;

[0105] An adjustment module 406, configured to adjust the temperature and flow rate of the coolant in the cooling system according to the plurality of sets of test parameter data when the cooling system is in a simulated working state;

[0106] The test module 408 is used to monitor the temperature and flow rate of the coolant in the cooling system in real time during the process of adjusting the temperature and flow rate of the coolant in the cooling system, obtain multiple groups of monitoring data, and determine the test results of the cooling system based on the multiple groups of monitoring data.

[0107] In an exemplary embodiment, the adjustment module 406 is also used to obtain the actual flow rate of the coolant when the cooling system is in a simulated working state, and adjust the flow rate of the coolant in the cooling system according to the actual flow rate and the test flow rate data; when the cooling system is in a simulated working state, obtain the actual temperature of the coolant, and adjust the temperature of the coolant in the cooling system according to the actual temperature, the test temperature data and the temperature control accuracy.

[0108] In an exemplary embodiment, the test module 408 is further configured to evaluate the heat dissipation performance of the cooling system according to the plurality of groups of monitoring data to determine a test result of the cooling system.

[0109] In an exemplary embodiment, the cooling system testing device further includes:

[0110] The optimization module is used to determine the preset optimization target of the cooling system, compare the test results of the cooling system with the preset optimization target to obtain a comparison result; determine the optimization amount corresponding to the multiple groups of monitoring data according to the comparison result and the multiple groups of monitoring data; and optimize the multiple groups of monitoring data using an adaptive control algorithm according to the optimization amount corresponding to the multiple groups of monitoring data.

[0111] In an exemplary embodiment, the simulation module 404 is also used to determine the simulated working parameters corresponding to the cooling system in the simulated working state; when the cooling system is in the target state, obtain the data to be adjusted corresponding to the cooling system in the target state; according to the simulated working parameters and the data to be adjusted, adjust the state of the cooling system to control the cooling system to be in the simulated working state.

[0112] In an exemplary embodiment, the simulated working parameters include simulated temperature data and simulated flow data, and the data to be adjusted include temperature data to be adjusted and flow data to be adjusted; the simulation module 404 is also used to compare the temperature data to be adjusted and the flow data to be adjusted with the simulated temperature data and the simulated flow data to determine the deviation data between the target state and the simulated working state; according to the deviation data, the temperature data to be adjusted and the flow data to be adjusted are adjusted to put the cooling system in a simulated working state.

[0113] Each module in the cooling system test device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0114] In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG5. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store test parameter data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a cooling system test method is implemented.

[0115] Those skilled in the art will understand that the structure shown in FIG. 5 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0116] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0117] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0118] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0119] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0120] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0121] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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.

[0122] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A cooling system testing method, characterized in that: The method comprises: When the cooling system is in the target state, adjusting the state of the cooling system to control the cooling system to be in a simulated working state; Determine multiple groups of test parameter data of the coolant in the cooling system; wherein the test parameter data includes test flow data, test temperature data and temperature control accuracy; When the cooling system is in a simulated working state, adjusting the temperature and flow rate of the coolant in the cooling system according to the plurality of groups of test parameter data; During the process of adjusting the temperature and flow rate of the coolant in the cooling system, the temperature and flow rate of the coolant in the cooling system are monitored in real time to obtain multiple sets of monitoring data, and the test results of the cooling system are determined based on the multiple sets of monitoring data.

2. The method according to claim 1, characterized in that: When the cooling system is in a simulated working state, adjusting the temperature and flow rate of the coolant in the cooling system according to the plurality of groups of test parameter data includes: When the cooling system is in a simulated working state, obtaining an actual flow rate of the coolant, and adjusting the flow rate of the coolant in the cooling system according to the actual flow rate and the test flow rate data; When the cooling system is in a simulated working state, the actual temperature of the coolant is obtained, and the temperature of the coolant in the cooling system is adjusted according to the actual temperature, the test temperature data and the temperature control accuracy.

3. The method according to claim 1, characterized in that Determining the test result of the cooling system according to the multiple groups of monitoring data includes: Based on the multiple groups of monitoring data, the heat dissipation performance of the cooling system is evaluated to determine the test results of the cooling system.

4. The method according to claim 3, characterized in that The method further comprises: Determine a preset optimization target for the cooling system, compare the test result of the cooling system with the preset optimization target, and obtain a comparison result; Determine optimization amounts corresponding to the multiple sets of monitoring data according to the comparison results and the multiple sets of monitoring data; According to the optimization quantities corresponding to the plurality of groups of monitoring data, an adaptive control algorithm is used to optimize the cooling system.

5. The method according to claim 1, characterized in that When the cooling system is in the target state, the state of the cooling system is adjusted to control the cooling system to be in a simulated working state, including: Determine the simulated working parameters corresponding to the cooling system under the simulated working state; When the cooling system is in a target state, obtaining the to-be-adjusted data corresponding to the cooling system in the target state; The state of the cooling system is adjusted according to the simulated working parameters and the data to be adjusted, and the cooling system is controlled to be in a simulated working state.

6. The method according to claim 5, characterized in that The simulated working parameters include simulated temperature data and simulated flow data, and the data to be adjusted include temperature data to be adjusted and flow data to be adjusted; The method further comprises: Comparing the temperature data to be adjusted and the flow data to be adjusted with the simulated temperature data and the simulated flow data to determine the deviation data between the target state and the simulated working state; According to the deviation data, the temperature data to be adjusted and the flow data to be adjusted are adjusted so that the cooling system is in a simulated working state.

7. A cooling system testing device, characterized in that: The device comprises: A determination module, used to determine multiple groups of test parameter data of the coolant in the cooling system; wherein the test parameter data includes test flow data, test temperature data and temperature control accuracy; A simulation module, used for adjusting the state of the cooling system when the cooling system is in a target state, and controlling the cooling system to be in a simulated working state; An adjustment module, used for adjusting the temperature and flow rate of the coolant in the cooling system according to the plurality of groups of test parameter data when the cooling system is in a simulated working state; The test module is used to monitor the temperature and flow rate of the coolant in the cooling system in real time during the process of adjusting the temperature and flow rate of the coolant in the cooling system, obtain multiple groups of monitoring data, and determine the test results of the cooling system based on the multiple groups of monitoring data.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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