A performance testing platform and method for an embedded energy storage liquid cooling system production line

Abstract

The present invention relates to the field of liquid cooling performance testing, and discloses a performance testing platform and method for an embedded energy storage liquid cooling system production line, which is used to solve the shortcomings of the existing technology in terms of space occupation, intelligence level, and drainage effect. The present invention embeds all liquid storage tanks and pipelines used for testing at the top of the production line and the bottom of the production line table, occupying less additional production space; the fully automatic refrigeration / heating performance intelligent testing platform for the embedded energy storage liquid cooling system production line can directly display the cooling / heating capacity of the tested liquid cooling unit on the control screen, without the need for production line workers to further calculate the cooling / heating capacity; a more reasonable gas and liquid layout is adopted, and by adding a liquid cooling unit filling port at a lower vertical position as an auxiliary drain port, the problem of unclean drainage that occurs in the cooling / heating performance testing process of most current energy storage liquid cooling system manufacturers is solved.

Description

Technical Field

[0001] The present invention relates to the field of liquid cooling performance testing, and in particular to a testing platform and method for an embedded energy storage liquid cooling system production line. Background Art

[0002] Performance testing of energy storage liquid cooling system production lines is crucial to ensuring that the cooling system meets product design requirements and relevant standards. It directly impacts product stability and the high demands of energy storage applications. In energy storage systems, battery packs generate significant heat during charging and discharging. If this heat cannot be dissipated promptly, the battery pack temperature will continue to rise, leading to not only decreased battery performance and shortened lifespan, but also potentially serious safety incidents such as thermal runaway. The liquid cooling system, through the circulation of coolant, quickly and effectively removes this heat from the battery pack, ensuring that the pack operates within a safe and stable temperature range. Furthermore, low temperatures can significantly impact the performance and lifespan of energy storage battery packs, primarily manifesting as decreased battery capacity and charge / discharge efficiency, accelerated cell aging, and a dramatic reduction in battery lifespan. The liquid cooling system preheats the battery pack by circulating a temperature-controlled liquid through channels on heat exchanger plates positioned at the bottom of the battery pack, thereby increasing its operating temperature and performance. Therefore, the cooling / heating capacity of the liquid cooling system has become a key performance concern for energy storage systems, and corresponding cooling / heating performance testing is crucial during the production process of energy storage liquid cooling systems.

[0003] Currently, no company has adopted an embedded fully automatic cooling / heating performance test platform in the energy storage liquid cooling system production line. Most manufacturers are still using semi-automatic performance test platforms for testing. These devices take up a lot of production space, and the testing process is not intelligent enough. Specifically, the semi-automatic platform cannot automatically fill or discharge the test liquid, nor can it automatically calculate the cooling / heating capacity, resulting in a large amount of manpower being consumed in the testing process and a long analysis process. This platform is usually placed in the environment around the production line, and the large liquid storage tank is placed on the ground around the production line, thus taking up additional production space and causing inconvenience to the production line workers.

[0004] In addition, the existing external semi-automatic energy storage liquid cooling system cooling / heating performance test platform requires manual operation of various water and gas valves throughout the entire testing process, as well as manual control of the start and stop of each step, which consumes a lot of manpower and time.

[0005] At the same time, most of the existing external semi-automatic energy storage liquid cooling system cooling / heating performance test platforms adopt the idea of ​​filling the test unit with air to discharge the residual test liquid in the unit. However, due to the certain height difference between the liquid circuit, gas circuit of the test platform and the circulating liquid circuit in the test unit, and the density difference between air and test liquid, it is difficult to completely discharge the residual test liquid in the test unit, resulting in corrosion of key components of the test unit (water pump, condenser, etc.) and the inner wall of the connecting pipe, which will affect the subsequent normal use of the test unit to a certain extent.

[0006] Therefore, we propose a testing platform and method for the embedded energy storage liquid cooling system production line to solve the above problems. Summary of the Invention

[0007] The present invention provides a testing platform and method for an embedded energy storage liquid cooling system production line, which are used to address the deficiencies of the prior art in terms of space occupation, intelligence level, and drainage effect.

[0008] The first aspect of the present invention provides a performance test method for an embedded energy storage liquid cooling system production line, the performance test method for the embedded energy storage liquid cooling system production line comprises: completely embedding the test platform into the production line, controlling the circuit communication, water communication and gas communication between the test platform and the energy storage liquid cooling system to be tested according to the host computer of the test platform; filling the energy storage liquid cooling system to be tested with test liquid, and in response to the filling, obtaining the ambient temperature and flow data during the test, and starting the cooling or heating function of the energy storage liquid cooling system to be tested according to the ambient temperature and flow data; collecting the energy storage liquid cooling system to be tested during the production line. The temperature and flow data during the cooling or heating process are collected, and the cooling / heating power is calculated. Based on the cooling / heating power, it is determined whether the preset performance requirements are met. If the preset performance requirements are not met, cooling or heating is continued; if they are met, cooling or heating is stopped. A performance test report is generated, which at least includes the working environment temperature, the working test fluid temperature, and the total time to meet the preset performance requirements. The drainage function of the energy storage liquid cooling system to be tested is turned on, and the residual test fluid in the pipeline is completely discharged by blowing air into the pipeline using the gas pressure, and all power and water sources of the test platform are cut off to complete the performance test.

[0009] Optionally, in a first implementation method of the first aspect of the present invention, the test platform is completely embedded in the production line, and the circuit communication, water communication and gas communication between the test platform and the energy storage liquid cooling system to be tested are controlled by the upper computer of the test platform, including: the circuit communication adopts an industrial-grade communication protocol, and the upper computer is responsible for the power management of the entire test platform, including the distribution of power during the test process and the power cut-off in an emergency; the water communication is controlled by PLC loop feedback, and the upper computer adjusts the opening of the electronically controlled valve according to the real-time flow data; the test liquid is filled into the energy storage liquid cooling system to be tested, and in response to the filling, the ambient temperature and flow data during the test process are obtained, and the energy storage liquid cooling system to be tested is turned on according to the ambient temperature and flow data. The cooling or heating function of the system includes: using wireless sensors to monitor ambient temperature and flow data in real time, transmitting the data to the host computer of the embedded system for processing, and using filtering algorithms to eliminate interference signals generated during the test process to ensure data accuracy; setting a heat exchanger near the production line to use the waste heat or cold energy generated by other equipment to preheat or precool the test liquid; and / or the heat exchanger stores the recovered heat or cold energy for use in other production links or equipment; setting multiple heat exchange areas in the test liquid flow pipeline, each area is independently adjusted according to real-time data, and the local efficiency is improved without increasing the overall preheating or precooling time. The heat transferred by the i-th heat exchange area is set to Q i ,but:

[0010]

[0011] Among them, U i is the total heat transfer coefficient of the i-th heat exchange area; A i is the heat transfer area of ​​the i-th heat exchange region; is the temperature difference of the i-th heat exchange area; is the time interval;

[0012] By independently adjusting the U i 、A i and , improve local efficiency without increasing overall preheating or precooling time;

[0013] Design a device with a magnetic field and / or electric field, and achieve rapid heating or cooling of the test liquid by adjusting the magnetic field strength and / or electric field strength. Set the cooling power of the magnetic field and / or electric field to ,but:

[0014]

[0015] Where k is the proportionality coefficient; is the conductivity of the test liquid; E is the electric field strength; is the magnetic permeability of the test liquid; B is the magnetic field strength;

[0016] By adjusting the electric field strength E and / or magnetic field strength B, rapid heating or cooling of the test liquid is achieved;

[0017]

[0018] Among them, EER is the comprehensive energy efficiency ratio; is the total heat transferred for all heat exchange areas; Input power to the system; is the cooling power of the magnetic field and / or electric field;

[0019] The comprehensive energy efficiency ratio is used to evaluate the energy efficiency ratio of the entire system, that is, the ratio of output heat to input power. The overall energy efficiency of the system is improved by optimizing the heat transfer coefficient, heat transfer area and temperature difference of each heat exchange area, and adjusting the magnetic field and / or electric field strength.

[0020] Optionally, in a second implementation of the first aspect of the present invention, the temperature and flow data of the energy storage liquid cooling system to be tested during the cooling or heating process are collected, and the cooling / heating power is calculated, and whether the preset performance requirements are met is judged based on the cooling / heating power. If the preset performance requirements are not met, cooling or heating is continued; if they are met, cooling or heating is stopped, including: establishing a dynamic thermodynamic model based on the physical characteristics of the energy storage liquid cooling system, which can dynamically calculate the cooling capacity or heating capacity based on the temperature and flow data collected in real time, and the test platform is used to install a water flow sensor 1 and a temperature sensor 2 in the circulating water pipe of the liquid cooling unit, which are respectively used to measure the mass flow rate of the test liquid in the cooling / heating cycle. and temperature after cooling / heating A temperature sensor 1 is installed in the water circulation pipe of the liquid cooling unit on the test platform to measure the temperature of the test liquid before cooling / heating ;According to the actual ambient temperature and atmospheric pressure, the specific heat capacity of the test liquid is obtained ; then the actual cooling / heating power :

[0021]

[0022] If the actual cooling / heating power Standard cooling / heating power of liquid cooling unit The absolute value of the difference between If it is equal to the set value K, it is considered to have met the preset performance requirements.

[0023] Optionally, in a third implementation of the first aspect of the present invention, the performance test report is generated, which includes at least the working environment temperature, the working test fluid temperature and the total time to reach the preset performance requirements, including: integrating the ambient temperature and flow data during the test process, and the temperature and flow data of the energy storage liquid cooling system to be tested during the cooling or heating process to ensure the integrity, consistency and timestamp correspondence of the data, cleaning the data, removing outliers, filling missing values, and using the moving average method for smoothing to reduce the impact of data fluctuations on the report to obtain an integrated data set; extracting key data points of the working environment temperature and the working test fluid temperature based on the integrated data set, including the average value, the highest value, and the lowest value, calculating the skewness and kurtosis indicators of the data based on statistical distribution analysis, and providing an intuitive display of the data distribution form; determining the total time required for the energy storage liquid cooling system to reach the preset performance requirements from the start of work based on the timing data of the host computer, designing a performance compliance prediction model based on historical data and real-time data, and predicting in advance the total time required for the energy storage liquid cooling system to reach the preset performance requirements, thereby improving test efficiency. The prediction formula of the performance compliance prediction model is:

[0024]

[0025] in, is the total duration of the prediction, It is a characteristic variable that affects the performance, including working environment temperature, working test fluid temperature, system power, are model parameters, obtained by fitting historical data;

[0026] Based on the key data points of the working environment temperature and the working test fluid temperature and the total time required to achieve the preset performance requirements combined with the preset multi-parameter evaluation model, the performance score of the multi-parameter evaluation model is set as ,but:

[0027]

[0028] in, is the weight coefficient, Indicates the reference value of the ambient temperature, Indicates the reference value of the working test fluid temperature, A reference value indicating the total time required to achieve the preset performance requirements, used for normalization;

[0029] according to and preset scoring criteria to obtain a performance test report; use interactive charts, including real-time updated curve charts and heat maps, to display temperature changes and flow fluctuations during the test.

[0030] Optionally, in a fourth implementation of the first aspect of the present invention, the drainage function of the energy storage liquid cooling system to be tested is turned on, and by blowing air into the pipeline, the residual test liquid in the pipeline is completely discharged using gas pressure, and all power and water sources of the test platform are cut off to complete the performance test, including: real-time monitoring of the gas pressure in the pipeline by a built-in pressure sensor, introducing a machine learning algorithm, which can continuously learn and optimize the pressure control strategy based on historical drainage data to adapt to drainage requirements under different test conditions; adopting a branch pipeline design to increase the contact area between the gas and the test liquid, and simulating and analyzing the drainage pipeline based on fluid mechanics simulation software to find the optimal pipeline path and branch layout to ensure the best drainage effect; combining image recognition technology, monitoring the drainage process through a camera to assist in determining whether the residual test liquid is completely discharged, thereby improving the accuracy of the detection; after the drainage process is completed, the system automatically detects whether all drainage valves are closed, and automatically cuts off all power and water sources of the test platform after confirmation to ensure safety, and designs a double confirmation mechanism to remind the operator to confirm through sound and light alarms or SMS notifications before automatically cutting off the power and water sources to avoid misoperation.

[0031] Optionally, in the fifth implementation of the first aspect of the present invention, the drainage function adopts a two-stage drainage design, including a high-level main drainage stage and a low-level auxiliary drainage stage, to ensure that the residual test liquid in the pipeline is completely discharged; by adding a liquid cooling unit filling port located at a lower vertical position as an auxiliary drainage port, a small amount of residual test liquid remaining in the liquid cooling unit components is discharged from the low-level unit filling port to the open covered liquid storage tank 2 embedded in the lower part of the assembly line table.

[0032] The second aspect of the present invention provides a test platform for an embedded energy storage liquid cooling system production line, wherein the test platform for the embedded energy storage liquid cooling system production line includes: a power module for providing power to the test platform and the test liquid cooling unit; a test platform host computer for controlling the circuit, water and gas communication between the test platform and the test liquid cooling unit, and is responsible for the testing work; a data acquisition module including a temperature sensor and a flow sensor for measuring the temperature and flow data during the test process; a test platform main line including a water line and a gas line for connecting the test platform and the test liquid cooling unit; a liquid storage tank module including at least one liquid storage tank for storing and supplying test liquid.

[0033] Optionally, in the first implementation method of the second aspect of the present invention, it also includes a liquid level switch and an ambient thermometer, the liquid level switch is used to detect the water level of the liquid storage tank and automatically control the filling and refilling operations of the liquid storage tank, and the ambient thermometer is used to automatically determine whether to start the cooling or heating function of the test liquid cooling unit.

[0034] Optionally, in a second implementation of the second aspect of the present invention, the liquid storage tank module includes at least two liquid storage tanks, namely liquid storage tank 1 and liquid storage tank 2, the liquid storage tank 1 is used to receive and store the test liquid that flows out of the tap water pipe and is purified, as well as the test liquid discharged from the main drainage stage of the liquid cooling unit, and the liquid storage tank 2 is used to receive the residual test liquid discharged from the auxiliary drainage stage of the liquid cooling unit.

[0035] Optionally, in a third implementation of the second aspect of the present invention, the main line of the test platform adopts a transparent plastic pipe to facilitate visual operation of the installation process, and the test platform adopts a PLC loop feedback control principle to control the flow of the test liquid in real time until the preset cooling / heating power is reached.

[0036] The technical solution provided by the present invention has the following beneficial effects:

[0037] The test platform is fully embedded within the production line, taking up no additional floor space in the production hall. This design not only reduces the production line's footprint but also provides more working space for line workers, improving space utilization efficiency. The embedded design of the liquid storage tank and piping (located above the production line and below the countertop) further enhances space synergy, achieving "zero floor space occupation" and making the production line layout more compact and efficient.

[0038] This invention enables automated testing, allowing production line workers to complete tests simply by controlling the control panel on the test platform, significantly reducing manpower requirements. Intelligent control further enhances testing efficiency. The platform automatically collects and processes data, determines the test performance type, and calculates cooling / heating capacity, achieving "zero labor consumption" for production line workers during performance testing. The synergy between automation and intelligence makes the testing process more streamlined and efficient, significantly improving production efficiency.

[0039] A rational layout of gas and liquid circuits, coupled with a two-stage drainage design consisting of high-level primary drainage and low-level auxiliary drainage, ensures complete drainage of residual test fluid. This synergistic design of gas and liquid circuits not only solves the problem of incomplete drainage but also prevents corrosion of key test unit components and the inner surfaces of connecting pipes, extending the service life of the test unit.

[0040] The overall structural design (including the power supply, test platform host computer, data acquisition module, test platform main lines, and fluid storage tank) and various functions (such as filling and replenishing fluids, collecting ambient temperature data, and draining the liquid cooling unit) form a good synergy. This synergy enables the test platform to stably and reliably complete performance testing tasks, while also ensuring the accuracy and reliability of test results.

[0041] In summary, the fully automatic refrigeration / heating performance intelligent testing platform for the embedded energy storage liquid cooling system production line created by the present invention achieves full utilization of production space, automation and intelligence of the testing process, complete drainage of residual test liquid, and stability and reliability of the overall structure through the synergy of space utilization, automation and intelligence, gas and liquid circuit design, and overall structure and function, thereby significantly improving production efficiency, reducing labor costs, extending the service life of the test unit, and ensuring the accuracy and reliability of the test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A schematic diagram of an embodiment of a performance testing method for an embedded energy storage liquid cooling system production line according to an embodiment of the present invention;

[0043] Figure 2 This is a test flow chart of a test platform for an embedded energy storage liquid cooling system production line according to an embodiment of the present invention;

[0044] Figure 3 A schematic diagram of an embodiment of a test platform for an embedded energy storage liquid cooling system production line in an embodiment of the present invention;

[0045] Figure 4 Schematic diagram of the working principle of the test platform of the embedded energy storage liquid cooling system production line in an embodiment of the present invention. DETAILED DESCRIPTION

[0046] An embodiment of the present invention provides a test platform and method for an embedded energy storage liquid cooling system production line, which is used to address the shortcomings of the prior art in terms of space occupation, intelligence, and drainage effect. The terms "first," "second," "third," "fourth," and so on (if any) in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way are interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or are inherent to these processes, methods, products, or devices.

[0047] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 An embodiment of a performance testing method for an embedded energy storage liquid cooling system production line according to an embodiment of the present invention includes:

[0048] 101. The test platform is fully embedded in the production line, and the circuit communication, water communication and gas communication between the test platform and the energy storage liquid cooling system to be tested are controlled by the upper computer of the test platform;

[0049] It is understandable that the execution subject of the present invention can be a test platform of an embedded energy storage liquid cooling system production line, or a terminal or a server, and the specific implementation is not limited here. The embodiment of the present invention is described by taking a server as the execution subject as an example.

[0050] It is important to note that the test platform hardware (including sensors, controllers, actuators, etc.) is tightly integrated into the production line to ensure physical connectivity with the energy storage liquid cooling system under test. Standardized interfaces and connectors are used to quickly and accurately connect and disconnect the test platform from the system under test.

[0051] Circuit communication interface design: Design a dedicated circuit interface to ensure a stable and reliable electrical connection between the test platform and the energy storage liquid cooling system under test. Use standardized communication protocols such as CAN bus or Modbus (485 communication protocol, baud rate 115200) to ensure accurate data transmission.

[0052] Data transmission and monitoring: PC software monitors circuit communication status in real time, including key parameters such as voltage and current. For example, circuit data can be collected every 50ms to ensure real-time monitoring of system status.

[0053] Specific data: In one test, the test platform successfully obtained the real-time voltage data of the energy storage liquid cooling system under test, which was 220V, and the current data was 10A through circuit communication, ensuring that the system was operating within the normal range.

[0054] Waterway communication and fluid connection: Use dedicated water pipes and connectors to connect the test platform to the waterway of the energy storage liquid cooling system under test. Ensure the waterway connection is tight and smooth to prevent liquid leakage or blockage.

[0055] Flow and temperature monitoring: Flow sensors and temperature sensors are installed in the water circuit to monitor the coolant flow and temperature in real time. The host computer software displays and records this data in real time to analyze system performance.

[0056] Specific data: In a certain test, water channel communication successfully monitored the coolant flow rate of 5L / min and the temperature of 25°C, indicating that the liquid cooling system is working normally.

[0057] Gas communication is achieved and gas connection is achieved: Use dedicated gas pipes and connectors to connect the test platform to the gas circuit of the energy storage liquid cooling system to be tested. Ensure that the gas circuit connection is sealed and unobstructed to prevent gas leakage or blockage.

[0058] Pressure and humidity monitoring: Pressure and humidity sensors are installed in the gas circuit to monitor the system's pressure and humidity in real time. The host computer software monitors and records this data in real time to detect abnormal conditions in a timely manner.

[0059] Specific data: In an air circuit communication test, the system pressure was successfully monitored to be 1.5 bar and the humidity was 40%, which met the design requirements.

[0060] Host computer control and software development: Develop dedicated host computer software to control communication between the test platform and the energy storage liquid cooling system under test. The host computer software provides data acquisition, analysis, storage, and alarm functions.

[0061] Real-time control: The operation of the test platform is controlled in real time through the host computer software, including start, stop, data acquisition and other operations. The host computer software can display various data in real time and provide abnormal alarm function.

[0062] In summary, by fully embedding the test platform into the production line and controlling the circuit, water, and gas communication between the test platform and the energy storage liquid cooling system to be tested based on the test platform's host computer, comprehensive testing and monitoring of the energy storage liquid cooling system's performance can be achieved.

[0063] 102. Filling the energy storage liquid cooling system to be tested with a test liquid, obtaining ambient temperature (including device temperature) and flow rate data during the test in response to the filling, and activating a cooling or heating function of the energy storage liquid cooling system to be tested based on the ambient temperature and flow rate data;

[0064] It should be noted that when preparing the test fluid: select an appropriate test fluid, such as an ethylene glycol aqueous solution, and ensure that its heat capacity and fluidity meet the test requirements. Connect the pipeline: Use dedicated pipelines and connectors to connect the test fluid filling equipment to the liquid cooling pipeline of the energy storage liquid cooling system to be tested. Filling process: Start the filling equipment and slowly fill the test fluid into the energy storage liquid cooling system to be tested, while monitoring the pressure changes of the system to ensure that the filling process is safe and correct. Confirm the filling volume: After the filling is completed, check whether the amount of test fluid in the energy storage liquid cooling system to be tested reaches the preset value. For example, fill to 80% of the system capacity.

[0065] Acquire ambient temperature and flow data. Ambient temperature monitoring: Place temperature sensors within the test environment to monitor and record ambient temperature data in real time. For example, the initial test environment temperature is 25°C. Flow data acquisition: Install flow sensors in the liquid cooling line to monitor and record the test fluid flow data in real time. For example, the initial flow rate is set to 3 L / min.

[0066] Turn on the cooling or heating function based on the data. Data analysis: Input the real-time monitored ambient temperature and flow data into the upper computer control system for analysis. Function judgment: Based on the analysis results, determine whether it is necessary to turn on the cooling or heating function of the energy storage liquid cooling system to be tested. For example, when the ambient temperature (including the equipment temperature) exceeds 30°C, turn on the cooling function; when the ambient temperature (including the equipment temperature) is lower than 20°C, turn on the heating function. Function execution: Based on the judgment result, send instructions to the energy storage liquid cooling system to be tested through the upper computer control system to turn on the corresponding cooling or heating function. For example, when the current ambient temperature is 28°C, the system determines that there is no need to turn on the cooling or heating function and maintains the current state of operation.

[0067] Test process monitoring and recording, real-time monitoring: During the test, the ambient temperature, flow rate, and the operating status of the energy storage liquid cooling system under test are continuously monitored. Data logging: Real-time monitored data is recorded in the host control system for subsequent analysis and processing. For example, changes in ambient temperature and flow rate data can be recorded every 5 minutes. Exception handling: If an abnormality is detected (such as a sudden decrease in flow rate or a sudden increase in ambient temperature), the test is immediately stopped and the cause is investigated to ensure the safety and effectiveness of the test process.

[0068] Through the above embodiments, the operations of filling the test liquid, obtaining the ambient temperature and flow data, and starting the cooling or heating function according to the data in the performance test of the embedded energy storage liquid cooling system production line can be specifically implemented.

[0069] 103. Collect temperature and flow data of the energy storage liquid cooling system to be tested during the cooling or heating process, calculate the cooling / heating power, and determine whether the preset performance requirements are met based on the cooling / heating power. If the preset performance requirements are not met, continue cooling or heating; if the preset performance requirements are met, stop cooling or heating;

[0070] It's important to note that sensor placement involves installing temperature and flow sensors at key locations within the energy storage liquid cooling system under test (such as inlets and outlets, radiators, etc.) to ensure accurate temperature and flow data collection during the cooling or heating process. Data collection involves sensors collecting real-time temperature and flow data after the cooling or heating function is activated. For example, data collection should be performed every 10 seconds to ensure data continuity and accuracy.

[0071] Specific data example:

[0072] Initial temperature: 25°C

[0073] Target cooling temperature: 15°C

[0074] Initial flow rate: 4L / min

[0075] During the cooling process, the temperature and flow data recorded every 10 seconds are as follows:

[0076] t=10s: Temperature=23°C, Flow rate=4.1L / min

[0077] t=20s: Temperature=21°C, Flow rate=4.0L / min

[0078] ... (and so on)

[0079] Calculate the cooling / heating power. The power calculation formula is: According to the characteristics of the liquid cooling energy storage system, the cooling / heating power (P) can be calculated by the system input power (P in ) and output power (P out ) and energy conversion efficiency (η). In practical applications, a simplified approach can be used to estimate cooling / heating power using temperature and flow data. Data processing: The collected temperature and flow data are input into the power calculation model to obtain real-time cooling / heating power.

[0080] Specific data example:

[0081] When t=60s is set, the collected temperature is 17℃ and the flow rate is 3.9L / min. The calculation model shows that the cooling power at this time is P=1.5kW.

[0082] Determine performance compliance and preset performance requirements: Set a preset cooling / heating power value as the basis for determining performance compliance. For example, the preset cooling power should reach 1.8kW to meet performance requirements. Performance judgment: Compare the calculated cooling / heating power with the preset value to determine whether the preset performance requirements are met.

[0083] Specific data example: At t=60s, the calculated cooling power is P=1.5kW, which does not reach the preset 1.8kW, so cooling needs to continue.

[0084] Continue or stop cooling / heating. Control logic: If the preset performance requirements are not met, the control system continues cooling or heating. If the preset performance requirements are met or exceeded, the control system stops cooling or heating. Operation execution: Based on the control logic, a command to continue or stop cooling / heating is sent to the energy storage liquid cooling system under test.

[0085] Specific data example: Because the preset performance requirement is not met at t = 60s, the control system sends a command to continue cooling. After a period of cooling operation, if the temperature drops further and the calculated cooling power reaches or exceeds 1.8kW, the control system sends a command to stop cooling.

[0086] 104. Generate a performance test report, which at least includes the working environment temperature, the working test fluid temperature, and the total time required to meet the preset performance requirements;

[0087] It is important to note that setting preset performance requirements requires specifying preset cooling / heating power values, such as 2.0kW for cooling power and 1.8kW for heating power. Preparing the test environment ensures that the test environment meets test requirements, such as constant temperature and humidity. Installing sensors requires installing temperature sensors in the test environment, as well as temperature and flow sensors at key locations within the energy storage liquid cooling system to be tested.

[0088] Perform the test and fill the test fluid: Fill the energy storage liquid cooling system under test with a test fluid, such as an ethylene glycol-water solution. Start the test: Initiate the performance test through the control system and simultaneously begin recording time and sensor data. Continuous Monitoring: During the test, continuously monitor and record the operating ambient temperature, operating test fluid temperature, and cooling / heating power.

[0089] Data recording and processing: Data recording: The data collected during the test is recorded in real time in the host control system. Data processing: The recorded data is processed, including the calculation of average temperature, flow rate, and the total time required to achieve the preset performance requirements.

[0090] Specific data example: Operating ambient temperature: 24°C at the start of the test and an average temperature of 25°C during the test. Operating test fluid temperature: 25°C at the start of cooling and 16°C when the preset cooling power is reached; 25°C at the start of heating and 34°C when the preset heating power is reached. Total time to reach the preset performance requirements: During cooling, the preset cooling power is reached after 120 seconds; during heating, the preset heating power is reached after 150 seconds.

[0091] Generate a performance test report. Report format: Select an appropriate report format, such as Word, Excel, or PDF. Report content: Include at least the following information: test date, test environment description, preset performance requirements, actual test data (including working environment temperature, working test fluid temperature, and change curve), total time to meet the preset performance requirements, and test conclusions. Data visualization: Add charts to the report, such as a curve chart showing temperature changes over time, to more intuitively display the test results. Report review and issuance: Review the generated report to ensure that the data is accurate before issuing it.

[0092] 105. Turn on the drainage function of the energy storage liquid cooling system to be tested. Blow air into the pipe to completely drain the residual test liquid in the pipe using the gas pressure. Cut off all power and water sources of the test platform to complete the performance test.

[0093] It should be noted that before turning on the drainage function, the following preparations must be made: Ensure that the test has been completed and all test data has been recorded. Check whether the drainage valve of the energy storage liquid cooling system to be tested is in working condition.

[0094] Open drain valves: Manually or automatically open all valves that need to drain water. For example, in this embodiment, we open three main drain valves, numbered DV-1, DV-2, and DV-3.

[0095] Monitor the drainage process: Use a flow meter to monitor the drainage flow rate to ensure smooth drainage. For example, the initial drainage flow rate is 5 L / min, and the flow rate gradually decreases as the residual test fluid decreases. Record the drainage start time (e.g., 3:30 PM) and end time (e.g., 3:45 PM). The total drainage time is 15 minutes.

[0096] Blow air into the pipe to remove any residual test liquid. Prepare the gas source: Connect a high-pressure gas cylinder or air pump and ensure the gas pressure is stable and sufficient. For example, use a nitrogen cylinder with a pressure of 5 bar.

[0097] Blow air into the pipe: Connect the air source to the air port of the energy storage liquid cooling system to be tested. Turn on the air source and continuously blow air into the pipe. The air pressure will push the remaining test fluid in the pipe toward the drain. Monitor the air flow and pressure during the blowing process to ensure safe operation.

[0098] Check the residual liquid discharge: Check whether the residual test liquid has been completely discharged by observing whether there is liquid continuing to flow out of the drain port and whether the liquid flowing out is clear. For example, after blowing for 5 minutes, if the liquid flowing out of the drain port becomes clear, it indicates that the residual test liquid has been basically discharged.

[0099] Disconnect all power and water sources to the test platform. Power off: Turn off all power switches on the test platform, including the main power supply and control power supply. For example, the main power switch, numbered PS-1, and the control power switch, numbered CS-2, were both turned off at 3:50 PM. Water off: Close all valves related to the water source to ensure that the water supply is completely shut off. For example, close the water inlet valve WV-1 and the water outlet valve WV-2. Safety check: Check that all power and water sources are completely shut off to ensure the test platform is in a safe state.

[0100] In the embodiment of the present invention, by embedding the test platform into the production line, automated performance testing is achieved, manual intervention is reduced, and production efficiency is improved; through comprehensive performance testing, potential performance problems can be discovered and handled in a timely manner, ensuring that every energy storage liquid cooling system leaving the factory meets the performance requirements, thereby improving product quality; accurate performance testing can predict the performance of the product in actual use, reducing the subsequent maintenance and replacement costs caused by performance problems; real-time monitoring and exception handling mechanisms during the test process can timely discover and respond to potential safety risks, thereby enhancing the security of the system; the generated performance test report provides rich data support, helping enterprises make more informed product development and market strategy decisions; products that have undergone rigorous performance testing can provide more stable and reliable performance, thereby improving the user experience.

[0101] Another embodiment of the performance testing method of the embedded energy storage liquid cooling system production line in the embodiment of the present invention includes:

[0102] 201. The test platform is fully embedded in the production line, and the upper computer of the test platform controls the circuit communication, water communication and gas communication between the test platform and the energy storage liquid cooling system to be tested;

[0103] Specifically, the circuit communication uses an industrial-grade communication protocol, and the host computer is responsible for power management of the entire test platform, including power distribution during the test process and power cut-off in emergency situations. The waterway communication is controlled by PLC loop feedback, and the host computer adjusts the opening of the electronically controlled valve according to real-time flow data.

[0104] It should be noted that for circuit communication, industrial-grade communication protocols are used: Modbus TCP / IP is selected as the circuit communication protocol due to its high stability, fast transmission speed and good compatibility. Through this protocol, the host computer can accurately control the power status of each part of the test platform. Power management system: The host computer is equipped with special power management software, which is responsible for the distribution of power during the test. For example, at the beginning of the test, the host computer sends instructions to the power distribution unit through Modbus instructions to provide a stable 220V AC power supply for the liquid cooling system to be tested. Emergency power cut-off mechanism: During the test, if the host computer detects any abnormality (such as excessive current, unstable voltage, etc.), it will immediately send a cut-off instruction to the power management module through the Modbus protocol to ensure that the relevant power supply is cut off within 50ms to prevent equipment damage or safety accidents.

[0105] Waterway communication and PLC loop feedback control: A Siemens S7-1200 PLC serves as the core of the waterway control system. Sensors monitor parameters such as flow rate, pressure, and temperature in the waterway in real time. This data is converted into digital signals via the PLC's analog input module for processing by the host computer. Host computer flow adjustment strategy: After receiving real-time flow data from the PLC, the host computer uses an algorithm to calculate the optimal opening of the electronically controlled valve based on pre-set testing procedures and standards. For example, if the flow rate falls below the set value, the host computer sends a command to the PLC to gradually increase the opening of the electronically controlled valve until the flow rate reaches the preset value.

[0106] Data logging and alarm mechanisms: The host computer software features data logging, saving waterway communication data from each test. Furthermore, if any abnormality in the waterway occurs (such as a sudden decrease in flow or a sudden increase in pressure), the host computer will immediately trigger an alarm, notifying the operator to address the issue promptly.

[0107] Gas circuit communication, gas circuit monitoring and control: For test links involving gas circuit communication, such as pneumatic valves or sensors used in liquid cooling systems, PLC is also used for monitoring and control. The gas circuit status is monitored in real time by devices such as pressure sensors and flow switches installed on the gas circuit. Upper computer gas circuit management: The upper computer precisely controls the gas circuit according to test requirements. For example, when the pneumatic valve needs to be opened, the upper computer sends a command to the PLC, which controls the corresponding solenoid valve to open or close the valve. Safety and energy-saving measures: To ensure the safety of gas circuit communication, multiple protection mechanisms are integrated into the upper computer software, such as automatic pressure relief for excessive pressure and automatic alarm for gas leakage. At the same time, by optimizing algorithms and control strategies, the energy consumption of the gas circuit can be effectively reduced.

[0108] 202. Filling the energy storage liquid cooling system to be tested with a test liquid, acquiring ambient temperature and flow rate data during the test in response to the filling, and activating a cooling or heating function of the energy storage liquid cooling system to be tested based on the ambient temperature and flow rate data;

[0109] Specifically, wireless sensors are used to monitor ambient temperature and flow data in real time, and the data is transmitted to the host computer of the embedded system for processing. During the data processing, a filtering algorithm is used to eliminate interference signals generated during the test process to ensure the accuracy of the data; a heat exchanger is set near the production line to preheat or precool the test liquid using waste heat or cold energy generated by other equipment; and / or the heat exchanger stores the recovered heat or cold energy for use in other production links or equipment; multiple heat exchange areas are set in the test liquid flow pipeline, and each area is independently adjusted according to real-time data. Without increasing the overall preheating or precooling time, the local efficiency is improved, and the heat transferred by the i-th heat exchange area is set to Q i ,but:

[0110]

[0111] Among them, U i is the total heat transfer coefficient of the ith heat exchange area; A i is the heat transfer area of ​​the i-th heat exchange region; is the temperature difference of the i-th heat exchange area; is the time interval;

[0112] By independently adjusting the U i 、A i and , improve local efficiency without increasing overall preheating or precooling time;

[0113] Design a device with a magnetic field and / or electric field, and achieve rapid heating or cooling of the test liquid by adjusting the magnetic field strength and / or electric field strength. Set the cooling power of the magnetic field and / or electric field to ,but:

[0114]

[0115] Where k is the proportionality coefficient; is the conductivity of the test liquid; E is the electric field strength; is the magnetic permeability of the test liquid; B is the magnetic field strength;

[0116] By adjusting the electric field strength E and / or magnetic field strength B, rapid heating or cooling of the test liquid is achieved;

[0117]

[0118] Among them, EER is the comprehensive energy efficiency ratio; is the total heat transferred for all heat exchange areas; Input power to the system; is the cooling power of the magnetic field and / or electric field;

[0119] The comprehensive energy efficiency ratio is used to evaluate the energy efficiency ratio of the entire system, that is, the ratio of output heat to input power. The overall energy efficiency of the system can be improved by optimizing the heat transfer coefficient, heat transfer area and temperature difference of each heat exchange area, as well as adjusting the magnetic field and / or electric field strength.

[0120] It is important to note the filling of the test fluid and environmental monitoring. For the test fluid, an ethylene glycol-water solution was selected due to its excellent thermal stability and thermal conductivity. An automated filling system filled the energy storage liquid cooling system under test to a preset capacity, for example, 50L. For environmental monitoring, wireless temperature and flow sensors were deployed near the production line to monitor the ambient temperature (e.g., 25°C) and test fluid flow (e.g., 2L / min) in real time. The data was wirelessly transmitted to an embedded system for processing.

[0121] Data processing and filtering, data reception: The embedded system receives real-time data from sensors, including ambient temperature and flow rate. Filtering algorithm: A moving average filtering algorithm is used to process the received data to eliminate interference signals that may have occurred during the test and ensure data accuracy. For example, the average of the most recent 10 data points is used as the current valid data.

[0122] Heat exchanger installation and preheating / precooling. Heat exchanger location: Install a heat exchanger near the production line to preheat or precool the test fluid using waste heat (such as 60°C hot water) or cold energy (such as 10°C cold water) generated by other equipment. Heat recovery and storage: The heat exchanger stores the recovered heat or cold energy in a thermal energy storage tank for use in other production processes or equipment, achieving efficient energy utilization.

[0123] Heat exchange area adjustment and local efficiency improvement, heat exchange area division: set up multiple heat exchange areas (such as 3 areas) in the test liquid flow pipeline, and each area is independently adjusted according to real-time data. Heat transfer parameter setting: set the heat transfer coefficient U of each area i (For example, U1=50W / (m 2 ·K), U2=70W / (m 2 ·K), U3=60W / (m 2 ·K))、heat transfer area(A1=1.0m 2 ,A2=0.6m 2 ,A2=0.8m 2 ) and temperature difference (like =10K, =15K, =20K).

[0124] Local efficiency calculation: According to the formula (Pick = 1s), calculate the heat Q transferred to each area i and improve local efficiency by independently adjusting the parameters of each region.

[0125] Magnetic field / electric field heating / cooling device design: Device design: Design a device with a magnetic field and / or electric field, and achieve rapid heating or cooling of the test liquid by adjusting the magnetic field intensity B (such as 0.5T) and / or electric field intensity E (such as 1000V / m). Power calculation: According to the formula (Take k=1, =0.1S / m, =1H / m), calculate the cooling power of magnetic field / electric field By adjusting E and / or B, rapid heating or cooling of the test liquid can be achieved.

[0126] Comprehensive energy efficiency ratio evaluation: Data summary: Summarize the total heat transferred by all heat exchange areas , system input power (such as 1000W) and magnetic field / electric field heating / cooling power .

[0127] Energy efficiency ratio calculation: According to the formula:

[0128]

[0129] Calculate the comprehensive energy efficiency ratio (EER). Improve the overall energy efficiency of the system by optimizing the heat transfer parameters of each heat exchange area and adjusting the magnetic / electric field strength.

[0130] This example describes in detail how to achieve efficient and accurate performance testing in the production line of an embedded energy storage liquid cooling system through steps such as filling the test fluid, environmental monitoring, data processing, heat exchanger configuration, heat exchange area adjustment, magnetic field / electric field heating / cooling device design, and comprehensive energy efficiency ratio evaluation.

[0131] 203. Collect temperature and flow rate data of the energy storage liquid cooling system to be tested during the cooling or heating process, calculate the cooling / heating power, and determine whether the preset performance requirements are met based on the cooling / heating power. If the preset performance requirements are not met, continue cooling or heating; if the preset performance requirements are met, stop cooling or heating;

[0132] Specifically, based on the physical characteristics of the energy storage liquid cooling system, a dynamic thermodynamic model is established. The model can dynamically calculate the cooling capacity or heating capacity based on the temperature and flow data collected in real time. The test platform is used to install a water flow sensor 1 and a temperature sensor 2 in the circulating water pipe of the liquid cooling unit, which are used to measure the mass flow of the test liquid in the cooling / heating cycle respectively. and temperature after cooling / heating A temperature sensor 1 is installed in the water circulation pipe of the liquid cooling unit on the test platform to measure the temperature of the test liquid before cooling / heating ;According to the actual ambient temperature and atmospheric pressure, the specific heat capacity of the test liquid is obtained ;

[0133] The actual cooling / heating power :

[0134]

[0135] If the actual cooling / heating power Standard cooling / heating power of liquid cooling unit The absolute value of the difference between If it is equal to the set value K, it is considered to have met the preset performance requirements.

[0136] It should be noted that for data collection, water flow sensor 1 and temperature sensor 2 were installed in the outlet pipe of the liquid cooling unit. Temperature sensor 1 was installed in the inlet pipe of the liquid cooling unit. The sampling frequency of water flow sensor 1 and temperature sensors 1 and 2 was set to once per second.

[0137] Real-time data acquisition, start the test, and record the test liquid mass flow measured by water flow sensor 1 ,For example = 0.5 kg / s. Simultaneously, record the test fluid temperature before cooling / heating (T1) as measured by temperature sensor 1, e.g., T1 = 25°C. Record the test fluid temperature after cooling / heating (T2) as measured by temperature sensor 2, e.g., T2 = 15°C.

[0138] Acquire environmental parameters. Based on the actual ambient temperature (e.g., 25°C) and atmospheric pressure (e.g., 101.3 kPa), query the specific heat capacity C of the test fluid (50% ethylene glycol aqueous solution), for example, C = 3.281 kJ / (kg·K).

[0139] Cooling / Heating Power Calculation: Application Formula Calculate actual cooling / heating power.

[0140] Substituting the above data into the formula, we get = 3.281 kJ / (kg·K) × 0.5 kg / s × |15℃ -25℃| = 16.405 kW.

[0141] Performance requirement judgment: set the standard cooling / heating power of the liquid cooling unit is 16 kW. Set the allowable difference K to 0.5 kW. Calculate and The absolute value of the difference between the two values ​​is |16.405 kW - 16 kW| = 0.405 kW. Since 0.405 kW is less than the set value K (0.5 kW), it is determined that the actual cooling / heating power has met the preset performance requirements.

[0142] When the test ends or continues, the test platform will stop cooling or heating if the preset performance requirements have been met. If the preset performance requirements have not been met, the test platform will continue cooling or heating and repeat the steps until the conditions are met.

[0143] 204. Generate a performance test report, which at least includes the working environment temperature, the working test fluid temperature, and the total time required to meet the preset performance requirements;

[0144] Specifically, the ambient temperature and flow data during the test and the temperature and flow data of the energy storage liquid cooling system to be tested during the cooling or heating process are integrated to ensure the integrity, consistency, and timestamp correspondence of the data. The data is cleaned, outliers are removed, missing values ​​are filled, and smoothing is performed using the moving average method to reduce the impact of data fluctuations on the report to obtain an integrated data set; based on the integrated data set, key data points of the working environment temperature and the working test liquid temperature are extracted, including the average value, the highest value, and the lowest value, and the skewness and kurtosis indicators of the data are calculated based on statistical distribution analysis to provide an intuitive display of the data distribution form; based on the timing data of the host computer, the total time required for the energy storage liquid cooling system to reach the preset performance requirements from the start of work is determined, and a performance compliance prediction model is designed based on historical data and real-time data to predict in advance the total time required for the energy storage liquid cooling system to reach the preset performance requirements, thereby improving test efficiency. The prediction formula of the performance compliance prediction model is:

[0145]

[0146] in, is the total duration of the prediction, It is a characteristic variable that affects the performance, including working environment temperature, working test fluid temperature, system power, are model parameters, obtained by fitting historical data;

[0147] Based on the key data points of the working environment temperature and the working test fluid temperature and the total time required to achieve the preset performance requirements combined with the preset multi-parameter evaluation model, the performance score of the multi-parameter evaluation model is set as ,but:

[0148]

[0149] in, is the weight coefficient, Indicates the reference value of the ambient temperature, Indicates the reference value of the working test fluid temperature, A reference value indicating the total time required to achieve the preset performance requirements, used for normalization; and preset scoring criteria to obtain a performance test report; use interactive charts, including real-time updated curve charts and heat maps, to display temperature changes and flow fluctuations during the test.

[0150] It is important to note that data integration and preprocessing involve data collection: ambient temperature data, test fluid temperature data, system power data, and host computer timing data collected during the test. Data cleaning: outliers are removed, such as extreme data points caused by sensor failures; missing values ​​are filled, such as using interpolation methods to complete data lost due to transmission issues. Data smoothing: data is smoothed using a moving average method to reduce the impact of data fluctuations on the report.

[0151] Key data point extraction and statistical distribution analysis. Key data points: Extract the average, maximum, and minimum values ​​of the working environment temperature and the working test fluid temperature from the integrated data set. For example, the average value of the working environment temperature is 25°C, the maximum value is 28°C, and the minimum value is 22°C; the average value of the working test fluid temperature is 40°C, the maximum value is 45°C, and the minimum value is 35°C. Statistical distribution analysis: Calculate the skewness and kurtosis indicators of the data to provide a visual display of the data distribution. For example, the skewness of the working environment temperature is 0.5 and the kurtosis is 3.2, indicating that the data distribution is slightly right-leaning and relatively concentrated; the skewness of the working test fluid temperature is -0.3 and the kurtosis is 2.8, indicating that the data distribution is slightly left-leaning and relatively flat.

[0152] Determining and predicting the total time required to achieve preset performance requirements: Actual total time: Based on the timing data from the host computer, determine the actual total time required for the energy storage liquid cooling system to achieve the preset performance requirements from the start of operation. For example, the actual total time is 300 seconds. Predicted total time: Predictions are made using the performance target prediction model and model parameters obtained by fitting historical data. The model parameters are assumed to have been obtained by fitting historical data, and the characteristic variables that affect performance target compliance include the operating environment temperature, the operating test fluid temperature, and the system power. The predicted total time is calculated using the prediction formula. For example, the predicted total time is 290 seconds.

[0153] Multi-parameter evaluation model and performance score calculation: Weight coefficient setting: Set the weight coefficient according to the importance of each parameter to the performance evaluation 、 、 For example, setting =0.3, =0.4, =0.3.

[0154] Reference value setting: Set the reference temperature and time values ​​for normalization. For example, =30℃, =50℃, =360 seconds.

[0155] Performance score calculation: Calculate the performance score based on the formula of the multi-parameter evaluation model Substitute the above data into the formula to get the specific performance score. For example, =0.85 (indicating good performance).

[0156] Performance Test Report Generation and Interactive Chart Display: Report Generation: Based on the performance score and pre-set scoring criteria (such as excellent, good, qualified, or unqualified), a performance test report is generated, including information such as the operating environment temperature, the operating test fluid temperature, and the total time required to meet the pre-set performance requirements. Interactive Chart Display: Real-time updated graphs display temperature changes and flow rate fluctuations during the test; thermal maps illustrate performance differences under different test conditions. These charts provide a direct understanding of system performance and optimization strategies.

[0157] 205. Turn on the drainage function of the energy storage liquid cooling system to be tested. Blow air into the pipeline to completely drain the residual test liquid in the pipeline using the gas pressure. Cut off all power and water sources of the test platform to complete the performance test.

[0158] Specifically, the built-in pressure sensor is used to monitor the gas pressure in the pipeline in real time, and the machine learning algorithm is introduced to continuously learn and optimize the pressure control strategy based on historical drainage data to adapt to the drainage needs under different test conditions; a branch pipeline design is adopted to increase the contact area between the gas and the test liquid, and the drainage pipeline is simulated and analyzed based on the fluid mechanics simulation software to find the optimal pipeline path and branch layout to ensure the best drainage effect; combined with image recognition technology, the drainage process is monitored by a camera to assist in judging whether the residual test liquid is completely discharged, thereby improving the accuracy of the detection; after the drainage process is completed, the system automatically detects whether all drainage valves are closed, and automatically cuts off all power and water sources of the test platform after confirmation to ensure safety. A double confirmation mechanism is designed to remind the operator to confirm through sound and light alarms or SMS notifications before automatically cutting off the power and water sources to avoid misoperation.

[0159] It should be noted that the following steps are required to enable the drainage function: After the performance test is completed, the control system will enable the drainage function of the energy storage liquid cooling system under test. Specific data: The system records the timestamp of the drainage function being enabled, such as "2024-10-11 10:45:00."

[0160] Gas Pressure Control and Optimization: Real-time Monitoring: Built-in pressure sensors monitor the gas pressure in the pipeline in real time. Learning Algorithm Application: A machine learning algorithm is introduced to learn from historical drainage data (such as gas pressure and drainage time) and optimize the pressure control strategy. Specific data: After multiple drainage processes, the algorithm learns that the drainage effect is optimal when the gas pressure is 0.2 MPa. The system will automatically adjust to this pressure value during subsequent drainage processes.

[0161] Branch Pipe Design and Fluid Dynamics Simulation: Design Optimization: A branch pipe design was used to increase the contact area between the gas and the test fluid. Simulation Analysis: Fluid dynamics simulation software was used to simulate and analyze the drainage pipe to determine the optimal pipe path and branch layout. Specific Data: Simulation results showed that the branch layout reduced drainage time by 20% and reduced residual test fluid by 30%.

[0162] Image recognition technology aids in judgment. Camera monitoring: The drainage process is monitored by a camera, capturing real-time images of the pipe interior. Image recognition: Image recognition technology is used to determine whether the residual test fluid has been completely drained. Specific data: The system recognizes that there is no residual test fluid in the image after the drainage process is completed, confirming complete drainage.

[0163] Automatically detect and shut off power and water sources. Valve detection: After the drainage process is complete, the system automatically detects whether all drainage valves are closed. Power and water shutoff: After confirming that the valves are closed, the system automatically shuts off all power and water to the test platform. Detailed data: The system records the timestamp of power and water shutoff, such as "2024-10-11 10:50:00," and confirms that all valves are in the "Closed" state.

[0164] Double confirmation mechanism with audible and visual alarms: Before automatically shutting off the power and water supply, the system uses audible and visual alarms to prompt the operator to confirm. SMS notification: The system also sends a text message notification to the designated operator's mobile phone to ensure a timely response. Detailed data: The system records the timestamp of the sent text message and the recipient's mobile phone number, such as "Sent to 1234567890 at 10:49:30 on 2024-10-11."

[0165] 206. The drainage function adopts a two-stage drainage design, including a high-level main drainage stage and a low-level auxiliary drainage stage to ensure that the residual test liquid in the pipeline is completely discharged;

[0166] By adding a liquid cooling unit filling port at a lower vertical position as an auxiliary drain port, a small amount of residual test liquid remaining in the liquid cooling unit components can be discharged from the low-positioned unit filling port to the open-type covered liquid storage tank 2 embedded in the lower part of the assembly line table;

[0167] It should be noted that the design principle of the high-level main drainage stage is: a main drain outlet is set at the highest point of the liquid cooling system, and gravity is used to allow most of the test liquid to flow out naturally.

[0168] Procedure: Open the valve at the main drain outlet. Monitor the outflow of the test fluid until the rate of outflow significantly slows. Specific Data: Main drain outlet location: The highest point in the system, 1.5 meters vertically. Drainage time: 4 minutes from valve opening to significant slowdown. Test fluid volume discharged: Approximately 95% of the total volume, or 47.5 liters (of the set total volume of 50 liters).

[0169] Low-level auxiliary drainage stage, design principle: an auxiliary drain port is set at a lower vertical position of the liquid-cooled unit to discharge a small amount of test liquid remaining in the unit components.

[0170] Procedure: After the primary drain phase is complete, close the primary drain valve. Open the secondary drain valve and drain the remaining test fluid into the tank. Observe the secondary drain until no more fluid flows out.

[0171] Specific Data: Auxiliary Drain Location: Bottom of the liquid-cooled unit, 0.3 meters vertically. Liquid Storage Tank Location: Embedded in the lower portion of the assembly line countertop, connected to the auxiliary drain. Drain Time: 1 minute from valve opening to no liquid flowing out. Test Fluid Volume Discharged: Approximately 5% of the total volume, or 2.5 liters (the set total volume is 50 liters, and 47.5 liters have already been discharged during the primary drain phase).

[0172] Summary and Performance Evaluation: Drainage Effectiveness: The two-stage drainage design successfully drained the residual test fluid from the pipeline, ensuring the accuracy of the performance test and the smooth progress of the next round of testing. Time Efficiency: The entire drainage process took 5 minutes (4 minutes for the main drainage phase + 1 minute for the auxiliary drainage phase), improving drainage efficiency compared to a single drainage method. Safety: The provision of an auxiliary drain port and a liquid storage tank prevented the test fluid from flowing freely on the production line, improving work environment safety.

[0173] In this embodiment of the present invention, an automated testing platform and real-time monitoring technology significantly improve testing efficiency and data accuracy. Filtering algorithms and data processing methods ensure the reliability of test results. The heat exchanger and heat recovery and storage mechanism effectively improve energy efficiency. The magnetic / electric field device design enables rapid heating or cooling of the test fluid, further reducing energy consumption. Dynamic thermodynamic models and performance evaluation methods help accurately determine whether system performance meets standards. A two-stage drainage design and supporting technologies ensure the thoroughness and safety of the drainage process. The performance test report includes detailed information and interactive charts, allowing users to intuitively understand system performance. The multi-parameter evaluation model and performance scoring in the report provide a comprehensive basis for performance evaluation. This testing method promotes the automation and intelligentization of the embedded energy storage liquid cooling system production line, providing a solid foundation and data support for subsequent system optimization and upgrades. In summary, this performance testing method for the embedded energy storage liquid cooling system production line demonstrates significant benefits in improving testing efficiency, optimizing energy utilization, enhancing system performance and safety, improving report quality and visualization, and promoting the automation and intelligentization of the production line.

[0174] The above describes the performance test method of the embedded energy storage liquid cooling system production line in the embodiment of the present invention. The following describes the test platform of the embedded energy storage liquid cooling system production line in the embodiment of the present invention. Figure 3 In the embodiment of the present invention, the test platform of the embedded energy storage liquid cooling system production line is composed of a power supply, a test platform host computer, a data acquisition module, a test platform main line, a liquid storage tank 1 and a liquid storage tank 2. Among them, the power supply is used to provide power guarantee for the test platform and the test liquid cooling unit. During the test process, the test platform must be connected to the test liquid cooling unit through the test platform main line, wherein the test platform main line includes a water line and a gas line. The test platform host computer is used to control the circuit, water line and gas line communication between the test platform and the test liquid cooling unit according to the relevant data measured by the data acquisition module. The data acquisition module mainly includes a temperature sensor and a flow sensor, etc. In addition, the main function of the liquid storage tank 1 is to receive the test liquid that flows out of the tap water pipe and is purified, as well as the test liquid discharged from the main drainage stage of the liquid cooling unit. The main function of the liquid storage tank 2 is to receive the residual test liquid discharged from the auxiliary drainage stage of the liquid cooling unit. Figure 4 The following is a schematic diagram showing the working principle of the product designed in this solution. The specific working principle and related components are introduced as follows:

[0175] 1) Filling and replenishing liquid: Production line workers install corresponding test platform pipes at the water outlet, water inlet and liquid filling port of the liquid cooling unit (Note: To facilitate the movable and visual operation of the installation process, the connecting pipes between the water inlet, outlet and liquid filling port of the liquid cooling unit and the open-covered liquid storage tanks 1 and 2 of the test platform and the charging pipe are all transparent plastic pipes). The open-covered liquid storage tank 1 is fixed at the top of the assembly line to receive and store the test liquid discharged from the copper tap pipe and filtered through the filter (filtration requirement: filter out substances with a diameter greater than 0.0001 microns). If the test process does not require high water quality of the test liquid, the tap water can also be allowed to flow directly into the open-covered liquid storage tank 1 by opening the electric control valve 8. The open type covered liquid storage tank 1 is equipped with a liquid level switch to detect the water level of the liquid storage tank 1 and automatically control the liquid storage tank to fill the test liquid into the liquid cooling unit and replenish the liquid in the liquid storage tank 1 (when the liquid level in the water tank 1 is higher than the preset liquid level, the liquid level switch automatically opens the filling port of the liquid cooling unit. After the test platform host computer detects the filling port opening signal, it closes the electronic control valves 2, 3 and 6 and opens the electronic control valves 1, 4 and 5, and the liquid storage tank 1 starts to fill the liquid cooling unit; when the liquid level in the liquid storage tank 1 is lower than the preset liquid level, the liquid level switch automatically opens the tap water switch of the liquid storage tank 1 and The control screen displays the refill start signal and the filter selection signal. If filtered tap water is required for testing, the production line worker presses the filter button. The test platform host computer detects the tap water switch is on and the filter signal, closes electronically controlled valve 8, opens electronically controlled valve 7 and the water pump, and begins replenishing filtered tap water in tank 1. If unfiltered tap water is required for testing, the production line worker presses the unfilter button. The test platform host computer detects the tap water switch is on and the unfilter signal, opens electronically controlled valves 8 and 7, and begins replenishing tap water in tank 1.

[0176] 2) Collecting ambient temperature data and determining the type of liquid cooling unit startup function: The test platform automatically determines whether the cooling or heating function of the test liquid cooling unit is activated based on the ambient temperature meter installed. The test fluid in liquid storage tank 1 is filled into the liquid cooling unit through a low-level opening. A 25mm diameter copper water filling pipe is installed at the low-level opening of the water tank to fill the liquid cooling unit with test fluid. During the cooling process, the copper filling pipe continuously replenishes test fluid at the appropriate temperature into the unit's water pump, condenser, and other components. After undergoing the cooling / heating cycle, the test fluid flows to the liquid cooling unit's outlet. Then, through the transparent plastic pipe connecting the unit to the test platform and the 20mm diameter copper return pipe, it flows back to the open, covered liquid storage tank 1 located at the top of the production line. In addition, the filling water pipe is also equipped with a temperature sensor and a 380V / 15kW electric heater. When the ambient temperature is lower than the allowable operating temperature of the battery pack (generally 5°C, which needs to be set according to the type of energy storage system, battery technology, and application scenario), the liquid cooling unit needs to turn on the heating function to heat the test fluid; when the unit detects that the test fluid level is high enough, the control panel of the test bench will display a reminder signal for the start of the test. The production line worker only needs to press the cooling / heating key on the control panel, and the liquid cooling unit will immediately start cooling / heating. The cooling / heating capacity of the test liquid cooling unit is preset through the control panel so that the console can control the test fluid flow in real time. The real-time control of the test fluid flow by the console here adopts the PLC loop feedback control principle. The input of the test fluid flow is continuously adjusted through the control loop until the controlled variable (the absolute value of the difference between the actual cooling / heating power and the standard cooling / heating power of the liquid cooling unit, that is: ) is close to or equal to the set value (the set value is: 1x10 -5 W), the system reaches a new stable state, and the control loop can determine that the test unit has met the performance test requirements and send this signal to the test platform host computer. When the test platform host computer receives the signal that the unit meets the test performance, it will send a stop signal to the production line workers through the control panel. The production line workers can press the stop test button on the control panel to stop the test. (Basic principle of cooling / heating capacity calculation: The test platform is used for the circulating water outlet pipe of the liquid cooling unit. A water flow sensor 1 and a temperature sensor 2 are installed to measure the mass flow of the test liquid in the cooling / heating cycle respectively. (Unit: kg / s) and temperature after cooling / heating (Unit: °C), a temperature sensor 1 is installed in the water circulation pipe of the liquid cooling unit on the test platform to measure the temperature of the test liquid before cooling / heating (Unit: °C), and then according to the actual ambient temperature and atmospheric pressure, look up the table to get the specific heat capacity of the test liquid (Unit: J / (kg・℃)), the corresponding cooling power can be calculated (Unit: W.)

[0177] 3) Liquid Cooling Unit Drainage: When the test platform receives a "stop test" signal from the control console, the test platform host sends an electrical signal to open the electronically controlled valve in the air pipe, beginning the process of draining the liquid cooling unit. The 20 mm diameter copper air pipe is equipped with an opening regulator that controls the air flow rate into the pipe based on the signal detected by the pressure sensor on the pipe, thereby completely draining the residual test fluid from the liquid cooling unit. This drainage design utilizes an air-blowing method, using air pressure to displace residual liquid from the pipe. Multiple shared air and liquid pipes are used for the air and liquid circuits, which are automatically controlled by electronically controlled valves. Air blown in through the air pipe primarily enters the unit's condenser, water pump, and other components through the water inlet of the liquid cooling unit, then flows out through the water outlet. Any remaining test fluid in the unit then flows back into the tank through the outlet, along the pipe, and through an opening located high in the open, covered liquid storage tank 1 for reuse. Since the main drainage pipeline is to use air pressure to return the residual test liquid in the liquid cooling unit to the open liquid storage tank 1 with a lid at the top of the assembly line, the position of the water tank is relatively high, which is prone to the problem of incomplete drainage. In order to solve this problem, this solution also uses the liquid cooling unit filling port located at a lower vertical position as an auxiliary drainage port, allowing a small amount of residual test liquid remaining in the liquid cooling unit components to be discharged from the low-positioned unit filling port to the open liquid storage tank 2 with a lid embedded in the lower part of the assembly line table. Regarding the liquid cooling unit drainage step, the specific control process of the control console is as follows: when the test platform receives the "stop test" signal from the test platform host computer, the test platform host computer will send an electrical signal to open the electric control valve in the air pipe, and close the electric control valves 1, 3 and 6, open the electric control valves 2, 4 and 5, and the test platform will start the main drainage stage. When the water flow sensor 2 in the outlet pipe measures the water flow to be zero, the control console receives the zero flow signal from the water flow sensor 1 and sends an electrical signal to control the opening of the electronically controlled valves 3 and 6, and the closing of the electronically controlled valves 2 and 4. The test platform starts the auxiliary drainage stage. At this time, the only small amount of residual test liquid remaining in the liquid cooling unit will flow from the liquid cooling unit filling port to the open liquid storage tank 2 with a lid.

[0178] 4) End of test: When the water flow rate measured by the water flow sensor 2 near the liquid filling port is zero, it can be determined that the residual test liquid in the liquid cooling unit has been completely drained. The test platform host computer receives the signal from the water flow sensor 3 and sends a "drainage end" signal to the production line workers by displaying the drainage end information on the control screen. The production line workers press the drainage end button on the control screen to automatically generate a performance test report (the performance test report will at least display the following parameters: working environment temperature, working test liquid temperature, and the total time to meet the corresponding performance requirements). Then all power and water sources of the entire test platform are automatically cut off, and the production line workers can remove the pipes installed at the water outlet, water inlet and liquid filling port of the liquid cooling unit. The entire cooling / thermal performance test process is completed.

[0179] Reference Figure 2 The test process for the performance test platform of the embedded energy storage liquid cooling system production line designed in this solution is as follows: Connect the performance test platform and the test unit -> Determine whether filtration is required based on the test fluid quality requirements -> If filtration is required, automatically determine and fill the tank with filtered test fluid based on the water level in the tank; If filtration is not required, automatically determine and fill the tank with unfiltered test fluid based on the water level in the tank -> Automatically determine the test performance type based on ambient temperature data and enable the corresponding performance -> Automatically collect temperature and flow data, calculate the cooling / heating capacity, and determine whether the performance requirements are met -> If not, continue cooling / heating; if met, terminate cooling / heating -> Stop performance testing -> Automatically start draining the test unit -> Determine complete draining -> Once draining is complete, automatically generate a performance test report and disconnect all water and power sources to the performance test platform; If draining is not complete, continue draining -> Disconnect the performance test platform from the test unit.

[0180] The above describes in detail the test platform of the embedded energy storage liquid cooling system production line in the embodiment of the present invention from the perspective of modular functional entities. The following describes in detail the performance test equipment of the embedded energy storage liquid cooling system production line in the embodiment of the present invention from the perspective of hardware processing.

[0181] An embodiment of the present invention provides a performance testing device for an embedded energy storage liquid cooling system production line. The performance testing device for the embedded energy storage liquid cooling system production line may vary significantly due to different configurations or performance, and may include one or more central processing units (CPUs) (e.g., one or more processors) and memories, and one or more storage media for storing application programs or data (e.g., one or more mass storage devices). The memories and storage media may be either transient or persistent storage. The program stored on the storage medium may include one or more modules, each of which may include a series of instruction operations on the performance testing device for the embedded energy storage liquid cooling system production line. Furthermore, the processor may be configured to communicate with the storage medium to execute the series of instruction operations on the storage medium on the performance testing device for the embedded energy storage liquid cooling system production line.

[0182] The performance testing equipment of the embedded energy storage liquid cooling system production line may also include one or more power supplies, one or more wired or wireless network interfaces, one or more input and output interfaces, and / or one or more operating systems, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, etc.

[0183] The present invention also provides a performance testing device for an embedded energy storage liquid cooling system production line. The performance testing device for the embedded energy storage liquid cooling system production line includes a memory and a processor. The memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the processor executes the steps of the performance testing method for the embedded energy storage liquid cooling system production line in the above-mentioned embodiments.

[0184] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. The computer-readable storage medium stores instructions. When the instructions are executed on a computer, the computer executes the steps of the performance testing method of the embedded energy storage liquid cooling system production line.

[0185] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0186] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0187] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A performance testing method for an embedded energy storage liquid cooling system production line, characterized in that: The performance testing method of the embedded energy storage liquid cooling system production line includes: The test platform is fully embedded in the production line, and the upper computer of the test platform controls the circuit communication, water communication and gas communication between the test platform and the energy storage liquid cooling system to be tested; Filling the energy storage liquid cooling system to be tested with a test liquid, acquiring ambient temperature and flow rate data during the test in response to the filling, and activating a cooling or heating function of the energy storage liquid cooling system to be tested based on the ambient temperature and flow rate data; Collect temperature and flow data of the energy storage liquid cooling system to be tested during the cooling or heating process, and calculate the cooling / heating power. Based on the cooling / heating power, determine whether the preset performance requirements are met. If the preset performance requirements are not met, continue cooling or heating; if the preset performance requirements are met, stop cooling or heating; Generate a performance test report, which at least includes the working environment temperature, the working test fluid temperature and the total time to achieve the preset performance requirements; Turn on the drainage function of the energy storage liquid cooling system to be tested, blow air into the pipeline, use the gas pressure to completely drain the residual test liquid in the pipeline, cut off all power and water sources of the test platform, and complete the performance test. The drainage function adopts a two-stage drainage design, including a high-level main drainage stage and a low-level auxiliary drainage stage to ensure that the residual test liquid in the pipeline is completely drained.

2. The performance testing method of the embedded energy storage liquid cooling system production line according to claim 1 is characterized in that: The test platform is fully embedded in the production line, and the upper computer of the test platform controls the circuit communication, water communication and gas communication between the test platform and the energy storage liquid cooling system to be tested, including: The circuit communication adopts industrial-grade communication protocol, and the host computer is responsible for the power management of the entire test platform, including power distribution during the test process and power cut-off in emergency situations; The waterway communication is controlled by PLC loop feedback, and the host computer adjusts the opening of the electronically controlled valve according to the real-time flow data; The method includes: filling the energy storage liquid cooling system to be tested with the test liquid, obtaining ambient temperature and flow rate data during the test in response to the filling, and activating a cooling or heating function of the energy storage liquid cooling system to be tested based on the ambient temperature and flow rate data. Wireless sensors are used to monitor ambient temperature and flow data in real time, and the data is transmitted to the host computer of the embedded system for processing. During the data processing, filtering algorithms are used to eliminate interference signals generated during the test to ensure data accuracy. Install a heat exchanger near the production line to use waste heat or cold energy generated by other equipment to preheat or precool the test fluid; and / or store the recovered heat or cold energy in the heat exchanger for use in other production links or equipment; Multiple heat exchange areas are set in the test fluid flow pipeline. Each area is independently adjusted according to real-time data to improve local efficiency without increasing the overall preheating or precooling time. The heat transferred by the i-th heat exchange area is set to Q i ,but: Q i =U i ×A i ×ΔT i ×Δt Among them, U i is the total heat transfer coefficient of the ith heat exchange area; A i is the heat transfer area of ​​the i-th heat exchange region; ΔT i is the temperature difference of the i-th heat exchange area; Δt is the time interval; By independently adjusting the U i 、A i and ΔT i , improve local efficiency without increasing overall preheating or precooling time; Design a device with a magnetic field and / or electric field, and achieve rapid heating or cooling of the test liquid by adjusting the magnetic field strength and / or electric field strength. Set the cooling power of the magnetic field and / or electric field to P field ,but: P field =k×(σ×E 2 +μ×B 2 ) Where, k is the proportionality coefficient; σ is the conductivity of the test fluid; E is the electric field strength; μ is the magnetic permeability of the test fluid; B is the magnetic field strength; By adjusting the electric field strength E and / or magnetic field strength B, rapid heating or cooling of the test liquid is achieved; Among them, EER is the comprehensive energy efficiency ratio; ∑Q i is the total heat transferred in all heat exchange areas; P input is the system input power; P field is the cooling power of the magnetic field and / or electric field; The comprehensive energy efficiency ratio is used to evaluate the energy efficiency ratio of the entire system, that is, the ratio of output heat to input power. The overall energy efficiency of the system is improved by optimizing the heat transfer coefficient, heat transfer area and temperature difference of each heat exchange area, and adjusting the magnetic field and / or electric field strength.

3. The performance testing method of the embedded energy storage liquid cooling system production line according to claim 1 is characterized in that: The collecting of temperature and flow rate data of the energy storage liquid cooling system to be tested during the cooling or heating process, and calculating the cooling / heating power, and judging whether the preset performance requirements are met based on the cooling / heating power, and continuing cooling or heating if the preset performance requirements are not met, and stopping cooling or heating if the preset performance requirements are met, including: Based on the physical characteristics of the energy storage liquid cooling system, a dynamic thermodynamic model is established. The model can dynamically calculate the cooling capacity or heating capacity based on the real-time collected temperature and flow data. The test platform is used to install a water flow sensor 1 and a temperature sensor 2 in the circulating water pipe of the liquid cooling unit, which are used to measure the test liquid mass flow rate q in the cooling / heating cycle respectively. m and the temperature after cooling / heating T2; A temperature sensor 1 is installed in the test platform's water circulation pipe for the liquid cooling unit to measure the temperature T1 of the test liquid before cooling / heating; According to the actual ambient temperature and atmospheric pressure, the specific heat capacity C of the test liquid is obtained; The actual cooling / heating power Q 实际 : Q 实际 =Cq m |T2-T1| If the actual cooling / heating power Q 实际 Standard cooling / heating power Q of liquid cooling unit 标定 The absolute value of the difference between |Q 实际 -Q 标定 | is equal to the set value K, it is considered to have met the preset performance requirements.

4. The performance testing method of the embedded energy storage liquid cooling system production line according to claim 1 is characterized in that: The performance test report generated includes at least the working environment temperature, the working test fluid temperature, and the total time required to achieve the preset performance requirements, including: Integrate the ambient temperature and flow rate data during the test process and the temperature and flow rate data of the energy storage liquid cooling system to be tested during the cooling or heating process to ensure data integrity, consistency, and time stamp correspondence. Clean the data, remove outliers, fill in missing values, and use a moving average method for smoothing to reduce the impact of data fluctuations on the report, to obtain an integrated data set. Extract key data points of the working environment temperature and the working test fluid temperature based on the integrated data set, including the average value, the highest value, and the lowest value; calculate the skewness and kurtosis indicators of the data based on statistical distribution analysis, and provide an intuitive display of the data distribution form; Based on the timing data of the host computer, the total time required for the energy storage liquid cooling system to reach the preset performance requirements from the start of operation is determined. Based on historical data and real-time data, a performance compliance prediction model is designed to predict in advance the total time required for the energy storage liquid cooling system to reach the preset performance requirements, thereby improving test efficiency. The prediction formula of the performance compliance prediction model is: in, is the total duration of the prediction, x1, x2, ..., x p are characteristic variables that affect performance, including working environment temperature, working test fluid temperature, system power, β0, β1, ..., β p are model parameters, obtained by fitting historical data; According to the key data points of the working environment temperature and the working test fluid temperature and the total time required to achieve the preset performance requirements, combined with the preset multi-parameter evaluation model, the performance score of the multi-parameter evaluation model is set to P score ,but: Among them, w1, w2, w3 are weight coefficients, T env,ref Indicates the reference value of ambient temperature, T liquid,ref Indicates the reference value of the working test fluid temperature, t ref A reference value indicating the total time required to achieve the preset performance requirements, used for normalization; According to P score And the preset scoring criteria to obtain a performance test report; Use interactive charts, including real-time updated curve graphs and heat maps, to show temperature changes and flow fluctuations during the test.

5. The performance testing method of the embedded energy storage liquid cooling system production line according to claim 1 is characterized in that: The drainage function of the energy storage liquid cooling system to be tested is activated, and residual test liquid in the pipeline is completely discharged by blowing air into the pipeline using gas pressure, and all power and water sources of the test platform are cut off to complete the performance test, including: The built-in pressure sensor monitors the gas pressure in the pipeline in real time, and the machine learning algorithm is introduced to continuously learn and optimize the pressure control strategy based on historical drainage data to adapt to the drainage needs under different test conditions; A branch pipe design is used to increase the contact area between the gas and the test fluid. Based on fluid mechanics simulation software, the drainage pipe is simulated and analyzed to find the optimal pipe path and branch layout to ensure the best drainage effect. Combined with image recognition technology, the camera monitors the drainage process to assist in determining whether the residual test liquid is completely discharged, thereby improving the accuracy of detection; After the drainage process is completed, the system automatically detects whether all drainage valves are closed. After confirmation, it automatically cuts off all power and water sources of the test platform to ensure safety. A double confirmation mechanism is designed to remind the operator to confirm through sound and light alarms or SMS notifications before automatically cutting off the power and water sources to avoid misoperation.

6. The performance testing method of the embedded energy storage liquid cooling system production line according to claim 5, characterized in that: By adding a liquid cooling unit filling port at a lower vertical position as an auxiliary drain port, a small amount of residual test liquid remaining in the liquid cooling unit components can be discharged from the low-positioned unit filling port to the open liquid storage tank 2 with a lid embedded in the lower part of the assembly line table.

7. A test platform for an embedded energy storage liquid cooling system production line, used to perform the performance test method for an embedded energy storage liquid cooling system production line according to any one of claims 1 to 6, characterized in that: The test platform of the embedded energy storage liquid cooling system production line includes: Power module, used to provide power to the test platform and test liquid cooling unit; The test platform host computer is used to control the circuit, water, and gas communication between the test platform and the test liquid cooling unit, and is also responsible for the test work; Data acquisition module, including temperature sensor and flow sensor, used to measure temperature and flow data during the test; The test platform main pipeline, including water pipeline and gas pipeline, is used to connect the test platform and the test liquid cooling unit; The liquid tank module includes at least one liquid tank for storing and supplying test liquid.

8. The test platform for the embedded energy storage liquid cooling system production line according to claim 7, characterized in that: It also includes a liquid level switch and an ambient thermometer. The liquid level switch is used to detect the water level of the liquid storage tank and automatically control the filling and refilling operations of the liquid storage tank. The ambient thermometer is used to automatically determine whether to start the cooling or heating function of the test liquid cooling unit.

9. The test platform for the embedded energy storage liquid cooling system production line according to claim 7, characterized in that: The liquid storage tank module includes at least two liquid storage tanks, namely liquid storage tank 1 and liquid storage tank 2. Liquid storage tank 1 is used to receive and store the test liquid that has flowed out of the tap and been purified, as well as the test liquid discharged from the main drainage stage of the liquid cooling unit. The liquid storage tank 2 is used to receive the residual test liquid discharged from the auxiliary drainage stage of the liquid cooling unit.

10. The test platform for the embedded energy storage liquid cooling system production line according to claim 7, characterized in that: The main pipeline of the test platform adopts a transparent plastic pipe to facilitate the visual operation of the installation process. The test platform adopts the PLC loop feedback control principle to control the test liquid flow in real time until the preset cooling / heating power is reached.

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