Method, device and equipment for evaluating and analyzing uniformity of flow channel of liquid cooling plate and storage medium

Abstract

The invention provides a method for evaluating and analyzing the uniformity of a flow channel of a liquid cooling plate. The method comprises the following steps: collecting flow data and temperature data of the liquid cooling plate; preprocessing the flow data and the temperature data to obtain analysis data; decomposing the analysis data into dynamic modes according to a preset dynamic mode decomposition (DMD) algorithm; and evaluating the runner uniformity of the liquid cooling plate according to the dynamic mode.

Description

Technical Field

[0001] The present invention relates to the field of liquid cooling systems, and in particular to a method, device, equipment and storage medium for evaluating and analyzing the uniformity of a liquid cooling plate flow channel. Background Art

[0002] In the field of thermal management, liquid cooling systems are widely used in high-performance electronic devices, automotive engines, data centers and industrial machinery to manage and dissipate the heat generated by components during operation. As electronic products become more and more powerful, traditional air cooling methods are often not enough to effectively manage heat dissipation, prompting a shift to liquid cooling technology.

[0003] In a liquid cooling system, coolant is pumped through channels embedded in a liquid cold plate (or radiator), which is in direct contact with heat-generating components. The liquid cold plate absorbs heat from these components, and the coolant transports the heat to the radiator or heat exchanger. The heat dissipation efficiency depends largely on the uniform distribution of the coolant within the liquid cold plate flow channel. If the flow is uneven, some areas of the liquid cold plate may not receive enough coolant, resulting in local overheating (hot spots) and reduced cooling performance. Overcooling certain areas may also lead to unnecessary energy consumption and reduced efficiency.

[0004] Therefore, how to better maintain uniform coolant flow on the entire inner surface of the flow channel of the liquid cooling plate is an urgent problem to be solved in order to improve the cooling efficiency. Summary of the invention

[0005] The purpose of the present invention is to address the corresponding deficiencies in the prior art and to provide a method, device, equipment and storage medium for evaluating and analyzing the uniformity of the flow channel of a liquid cooling plate, which ensures consistent and efficient cooling performance by analyzing real-time data, detecting the imbalance of coolant distribution and performing automatic correction and adjustment.

[0006] The objective of the present invention is achieved by adopting the following scheme: A first aspect of the present invention provides a method for evaluating and analyzing the uniformity of a liquid cooling plate flow channel, comprising the following steps: S1, collects flow data and temperature data of the liquid cooling plate; S2, preprocessing the flow data and the temperature data to obtain analysis data; S3, decomposing the analysis data into dynamic modes according to a preset dynamic mode decomposition (DMD) algorithm; S4, evaluating the flow channel uniformity of the liquid cooling plate according to the dynamic mode.

[0007] Preferably, the method further comprises the following steps: S5, adjusting the coolant flow characteristics and heat exchange efficiency of the liquid cooling plate according to the evaluation result obtained in step S4.

[0008] Preferably, step S2 comprises: Eliminating high frequency noise in the flow data and the temperature data; Abnormal points in the flow data and the temperature data are detected and removed.

[0009] Preferably, the step S2 further includes: Standardizing the flow data and the temperature data; Perform data scaling processing on the standardized flow data and temperature data; Perform time synchronization processing on scaled flow data and temperature data; Split the time-synchronized flow data and temperature data into analysis data Preferably, step S3 comprises: Constructing a data matrix for a DMD algorithm based on the analysis data; constructing an approximate matrix for approximately representing the dynamic behavior of the fluid flow system inside the liquid cooling plate according to the data matrix; Performing eigenvalue decomposition on the approximate matrix to obtain eigenvalues ​​and eigenvectors; According to the eigenvalues ​​and eigenvectors, the dynamic mode of the fluid flow system inside the liquid cooling plate at any given time in the future is reconstructed.

[0010] Preferably, the step S4 comprises: Select preset time to reconstruct dynamic mode for uniformity analysis; Measures the deviation of the selected dynamic mode from the ideal uniform flow mode; A uniformity score is determined based on the degree of deviation of each dynamic mode; The flow channel uniformity of the liquid cooling plate is evaluated according to the uniformity score.

[0011] Preferably, step S5 includes at least one of the following operations: adjusting the total flow of the liquid cooling plate; balancing coolant flow in a plurality of flow channels of the liquid cooling plate; The inlet temperature and outlet temperature of the liquid cooling plate are adjusted.

[0012] Preferably, after step S5, the method further includes: The steps S1 , S2 , S3 and S4 are performed again to determine the effectiveness of implementing the step S5 .

[0013] The second aspect of the present invention provides a liquid cooling plate flow channel uniformity evaluation and analysis device, including a data acquisition module, a data preprocessing module, a DMD algorithm module, and a uniformity analysis module: The data acquisition module is used to collect flow data and temperature data of the liquid cooling plate; The data preprocessing module is used to preprocess the flow data and temperature data to obtain analysis data; The DMD algorithm module is used to decompose the analysis data into dynamic modes according to a preset DMD algorithm; The uniformity analysis module is used to evaluate the uniformity of the flow channel of the liquid cooling plate according to the dynamic mode.

[0014] The liquid cooling plate flow channel uniformity evaluation device further includes a notification module, which is used to display the evaluation result of the liquid cooling plate flow uniformity and issue a corresponding type of notification according to the evaluation result.

[0015] A third aspect of the present invention provides a device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any one of the methods when executing the computer program.

[0016] A fourth aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any one of the methods are implemented.

[0017] The advantage of the present invention is that it provides a method, device, equipment and storage medium for evaluating and analyzing the uniformity of the flow channel of a liquid cold plate, which ensures consistent and efficient cooling performance by analyzing real-time data, detecting imbalances in the coolant distribution and performing automatic correction adjustments. By maintaining a uniform flow of coolant in the cold plate flow channel, it helps to improve thermal management, prevent overheating and reduce energy consumption. Real-time optimization and adaptive feedback mechanisms can continuously improve cooling efficiency, improve the reliability of the entire system and extend the life of components. The method overcomes the limitations of existing cooling systems by providing higher coolant flow control accuracy and dynamic adjustment, ensuring optimal cooling efficiency under various operating conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 Flow chart of the method for evaluating and analyzing the uniformity of the flow channel of a liquid cooling plate according to an embodiment of the present invention; Figure 2 This is a block diagram of the functional modules of the device for evaluating and analyzing the uniformity of the flow channel of a liquid cooling plate according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The first aspect of the present invention provides a liquid cooling plate flow channel uniformity evaluation and analysis method that can be applied to new energy vehicles such as electric vehicles and hybrid vehicles, high-performance computing and data centers, and industrial applications. It can improve heat dissipation efficiency and reduce system energy consumption, thereby improving the performance and reliability of the overall system. The liquid cooling plate is a core component of the thermal management system of new energy vehicles. It reduces the temperature of the battery pack through liquid circulation to ensure the safety and life of the battery pack, while improving energy efficiency and the safety of the vehicle. The liquid cooling plate is made of metal with good thermal conductivity (such as aluminum, copper, etc.), and a closed cavity is provided inside. The coolant flows in it under the action of a circulating pump, and the heat generated by the battery pack is taken away by heat conduction and convection to achieve heat dissipation. The liquid cooling plate flow channel uniformity evaluation and analysis method provided by the present invention is applied to the above-mentioned liquid cooling plate.

[0020] like Figure 1 As shown, a method for evaluating and analyzing the uniformity of a liquid cooling plate flow channel provided by an embodiment of the first aspect of the present invention comprises the following steps: S1, collects flow data and temperature data of the liquid cooling plate.

[0021] The liquid cold plate consists of multiple coolant flow channels designed to evenly distribute the coolant across the liquid cold plate. The channels are optimized to increase the surface contact area with the heat-generating components, ensuring efficient heat transfer. Flow sensors and temperature sensors are embedded at key points along the inlet, outlet, and intermediate flow channels to measure flow and coolant temperature in real time. The sensor array consists of multiple flow and temperature sensors to collect real-time data.

[0022] Flow sensors are placed at various points in the cooling channel to measure the volume of coolant passing through each channel. This location ensures coverage of key locations that affect flow uniformity. Temperature sensors are embedded at the inlet, outlet and other key locations of the liquid cold plate to monitor the temperature of the coolant.

[0023] Flow and temperature sensors collect data continuously. Each sensor records its readings at predefined intervals (e.g., every millisecond or second) to capture the dynamic nature of the coolant's behavior.

[0024] Flow rate data: Q(t), unit is liter / second (L / s).

[0025] Temperature data: T(t), in degrees Celsius (°C).

[0026] Time step (t): Each data point is associated with a time step t, ensuring that the collected data is synchronized for easy time analysis.

[0027] S2, preprocessing the flow data and the temperature data to obtain analysis data.

[0028] Preferably, step S2 comprises: Eliminate high-frequency noise in the flow data and the temperature data. Use a low-pass filter to eliminate high-frequency noise in the flow data and the temperature data, and use a moving average filter to smooth the flow data and the temperature data to reduce noise and fluctuations in the data.

[0029] Detect and remove abnormal points in the flow data and the temperature data. Sudden peaks or drops in the flow data and the temperature data that are beyond the expected operating range are identified as outliers, and interpolation techniques are used to estimate the values ​​between adjacent data. Outliers that are too large are deleted.

[0030] Preferably, the step S2 further includes: The flow data and the temperature data are normalized to adjust the flow data to the same range in proportion and eliminate the amplitude difference between different channels.

[0031] Convert temperature data from its original range to a standardized range to eliminate differences in temperature data at different measurement points or over different time periods.

[0032] The standardized flow data and temperature data were scaled to ensure that all input variables were on a similar scale.

[0033] Time-synchronize scaled flow and temperature data. Synchronize using the time step associated with each reading, ensuring that flow and temperature data from different locations are aligned in time, supporting accurate time-dynamic analysis.

[0034] Split the time-synchronized flow data and temperature data into analysis data.

[0035] S3, decomposing the analysis data into dynamic modes according to a preset dynamic mode decomposition (DMD) algorithm.

[0036] The DMD algorithm takes the pre-processed analytical data and decomposes it into spatial and temporal patterns. The spatial pattern provides a map of how the coolant flow is distributed across the channels of the plate at any given time. A uniform flow distribution corresponds to a stable spatial mode, while an uneven flow results in a disrupted spatial mode. The temporal pattern tracks how the flow changes over time, capturing fluctuations, periodic changes, or irregularities that may indicate blockages or system inefficiencies.

[0037] Preferably, step S3 comprises: The data matrix for the DMD algorithm is constructed based on the analysis data. The data matrix is ​​constructed by arranging the data into two matrices X1 and X2. , where X1 is the state of the system in time steps 1 to n-1.

[0038] Perform singular value decomposition (SVD) on the matrix X1, ,in is the left singular vector (spatial mode), representing the spatial distribution of coolant flow and temperature, is a diagonal matrix of singular values, representing the importance (energy) of each mode, is the conjugate transpose of the right singular vector (temporal pattern), indicating how the pattern evolves over time.

[0039] According to the data matrix, an approximate matrix is ​​constructed to approximate the dynamic behavior of the fluid flow system inside the liquid cooling plate. According to the size of the singular value, the first r main singular values ​​and their corresponding singular vectors are selected for truncation, and the approximate matrix is ​​constructed using the truncated singular value decomposition results. , ,in is a reduced-order approximation of the system dynamics, describing the linear evolution of the system in the reduced space. is the conjugate transpose of the left singular vector, projecting the data into a low-dimensional space, The shifted data matrix representing the future state, For The right singular vectors obtained from the SVD of is the inverse of the singular values.

[0040] Perform eigenvalue decomposition on the approximate matrix to obtain eigenvalues ​​and eigenvectors. Solve the matrix The eigenvalue decomposition of ,in is the eigenvector matrix, representing the dynamic modes (spatial modes describing the flow pattern), is a diagonal matrix of eigenvalues, representing the growth or decay rate of each dynamic mode over time. Each eigenvalue With a dynamic modal Associated.

[0041] Based on the eigenvalues ​​and eigenvectors, the dynamic modes of the fluid flow system inside the liquid cooling plate at any given time in the future are reconstructed. The time dynamics of each mode is represented by the eigenvalue matrix Capture, expressed as: ,in is the time coefficient at time t, describing the mode How the amplitude of evolves over time, is the initial coefficient at t = 0, is the eigenvalue associated with the mode , describes how the mode grows or decays over time, and t is the time step.

[0042] Flow channel uniformity analysis, the system state after reconstruction at any given time t is: ,in is the reconstructed state of the system at time t (flow velocity and temperature distribution), r is the number of modes considered in the reduced-order model, is the jth dynamic mode, representing the spatial mode of coolant flow or temperature distribution, For the modal The associated eigenvalues, which indicate how quickly a mode grows, decays, or oscillates, For modal It grows or decays exponentially over time. By analyzing the dominant mode Its time evolution , the uniformity of the coolant flow within the cold plate flow channels can be evaluated. If the dominant mode deviates significantly from the expected uniform flow mode, the system detects non-uniformity, indicating blockage, imbalance, or inefficiency in the cooling system. The mode with the largest singular value (or corresponding eigenvalue) is considered the dominant mode and represents the most important flow pattern in the liquid cold plate.

[0043] S4, evaluating the flow channel uniformity of the liquid cooling plate according to the dynamic mode.

[0044] Preferably, step S4 comprises: Select a preset time to reconstruct the dynamic mode for uniformity analysis and decompose the data into a set of dynamic modes and its corresponding eigenvalues .

[0045] Measures the deviation of the selected dynamic mode from the ideal uniform flow mode. Calculate the uniformity deviation, for each dynamic mode , calculate its difference with the uniform mode Deviation, modal With uniform mode The deviation can be calculated as ,in For modal The deviation score, is the j dynamic mode (spatial flow mode), is an ideal uniform mode (uniform distribution in space), is a norm or distance metric that quantifies the difference between two spatial modes. Smaller, indicating that the mode It is close to the uniform mode, indicating that the flow uniformity of this mode is good. If it is larger, the mode is a non-uniform flow mode, which may lead to inefficiency or blockage.

[0046] The uniformity score is determined based on the degree of deviation of each dynamic mode. Calculate the flow channel uniformity score, ,in Score the overall flow channel uniformity, For modal The weight is calculated as follows: , is with modal The associated singular values, representing the importance (or energy) of the mode, For modal With uniform mode is the deviation of , and r is the number of dominant modes considered (usually the mode with the largest singular value).

[0047] The uniformity of the flow channel of the liquid cooling plate is evaluated according to the uniformity score. The score is normalized to a range, and the normalized score is expressed as: , where Smax is the maximum possible deviation score, representing the worst case of non-uniform flow, and is the final uniformity score, ranging from 0 to 100.

[0048] Rating between 90 and 100: The fluid is distributed very evenly, indicating optimal cooling performance.

[0049] Scores range from 7090: There is slight unevenness, but the system still performs relatively well.

[0050] Score between 50 and 70: Significant non-uniformity is detected, indicating that thermal performance may be affected.

[0051] Score below 50: There is severe unevenness or blockage and the cooling system may be operating inefficiently.

[0052] Preferably, the method further comprises the following steps: S5, adjusting the coolant flow characteristics and heat exchange efficiency of the liquid cooling plate according to the evaluation result obtained in step S4.

[0053] Preferably, step S5 includes at least one of the following operations: The total flow of the liquid cooling plate is adjusted, and the speed of the coolant pump is adjusted to change the total flow.

[0054] The coolant flow in the plurality of channels of the liquid cold plate is balanced, and a flow restrictor is implemented or the channel configuration is adjusted to balance the coolant flow among the plurality of channels.

[0055] The inlet and outlet temperatures of the liquid cold plate are adjusted to optimize cooling efficiency.

[0056] Preferably, after step S5, the method further includes: Steps S1, S2, S3 and S4 are performed again to determine the effectiveness of implementing step S5. After the adjustment, the system enters a feedback loop and uses the updated sensor data to monitor the impact of the adjustment on flow uniformity. A new uniformity score is calculated based on the latest data to evaluate the effectiveness of the adjustment measures. The system continues to collect and analyze data to maintain optimal cooling performance.

[0057] like Figure 2 As mentioned above, the second aspect of the present invention provides a liquid cooling plate flow channel uniformity evaluation and analysis device, including a data acquisition module 100, a data preprocessing module 200, a DMD algorithm module 300, and a uniformity analysis module 400.

[0058] The data acquisition module 100 is used to collect flow data and temperature data of the liquid cooling plate.

[0059] The data preprocessing module 200 is used to preprocess the flow data and temperature data to obtain analysis data.

[0060] The DMD algorithm module 300 is used to decompose the analysis data into dynamic modes according to a preset DMD algorithm.

[0061] The uniformity analysis module 400 is used to evaluate the uniformity of the flow channel of the liquid cooling plate according to the dynamic mode.

[0062] The liquid cooling plate flow channel uniformity evaluation and analysis device also includes a notification module 500, which is used to display the evaluation results of the liquid cooling plate flow uniformity and issue corresponding types of notifications based on the evaluation results. A user interface can display real-time flow patterns and uniformity scores. When any anomalies are detected or the uniformity score is below an acceptable level, the user will be notified for timely intervention. When the uniformity is below a safe threshold or a system component (pump, valve) fails, a notification is issued to the operator. A third aspect of the present invention provides a device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any one of the methods when executing the computer program.

[0063] A fourth aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any one of the methods are implemented.

[0064] The liquid cooling plate flow channel uniformity evaluation and analysis method, device, equipment and storage medium provided by the present invention ensure consistent and efficient cooling performance by analyzing real-time data, detecting imbalances in coolant distribution and performing automatic correction and adjustment. Maintaining uniform flow of coolant in the cold plate flow channel helps to improve thermal management, prevent overheating and reduce energy consumption. In addition, the real-time optimization and adaptive feedback mechanism of the system can continuously improve cooling efficiency, improve the reliability of the entire system and extend component life. The method overcomes the limitations of existing cooling systems by providing higher coolant flow control accuracy and dynamic adjustment, ensuring optimal cooling efficiency under various operating conditions.

Claims

1. A method for evaluating and analyzing the uniformity of a liquid cooling plate flow channel, characterized in that: The following steps are involved: S1, collects flow data and temperature data of the liquid cooling plate; S2, preprocessing the flow data and the temperature data to obtain analysis data; S3, decomposing the analysis data into dynamic modes according to a preset dynamic mode decomposition (DMD) algorithm; S4, evaluating the flow channel uniformity of the liquid cooling plate according to the dynamic mode.

2. The method for evaluating and analyzing the uniformity of the flow channel of a liquid cooling plate according to claim 1, characterized in that: The following steps are also included: S5, adjusting the coolant flow characteristics and heat exchange efficiency of the liquid cooling plate according to the evaluation result obtained in step S4.

3. The method for evaluating and analyzing the uniformity of the flow channel of a liquid cooling plate according to claim 1, characterized in that: The step S2 comprises: Eliminating high frequency noise in the flow data and the temperature data; Abnormal points in the flow data and the temperature data are detected and removed.

4. The method for evaluating and analyzing the uniformity of the flow channel of a liquid cooling plate according to claim 1, characterized in that: The step S2 further comprises: Standardizing the flow data and the temperature data; Perform data scaling processing on the standardized flow data and temperature data; Perform time synchronization processing on scaled flow data and temperature data; Split the time-synchronized flow data and temperature data into analysis data.

5. The method for evaluating and analyzing the uniformity of the flow channel of a liquid cooling plate according to claim 1, characterized in that: The step S3 comprises: constructing a data matrix for a DMD algorithm based on the analysis data; constructing an approximate matrix for approximately representing the dynamic behavior of the fluid flow system inside the liquid cooling plate according to the data matrix; Performing eigenvalue decomposition on the approximate matrix to obtain eigenvalues ​​and eigenvectors; According to the eigenvalues ​​and eigenvectors, the dynamic mode of the fluid flow system inside the liquid cooling plate at any given time in the future is reconstructed.

6. The method for evaluating and analyzing the uniformity of the flow channel of a liquid cooling plate according to claim 1, characterized in that: The step S4 comprises: Select preset time to reconstruct dynamic mode for uniformity analysis; Measure the deviation of the selected dynamic mode from the ideal uniform flow mode; A uniformity score is determined based on the degree of deviation of each dynamic mode; The flow channel uniformity of the liquid cooling plate is evaluated according to the uniformity score.

7. The method for evaluating and analyzing the uniformity of the flow channel of a liquid cooling plate according to claim 1, characterized in that: The step S5 includes at least one of the following operations: adjusting the total flow of the liquid cooling plate; balancing coolant flow in a plurality of flow channels of the liquid cooling plate; The inlet temperature and outlet temperature of the liquid cooling plate are adjusted.

8. The method for evaluating and analyzing the uniformity of the flow channel of a liquid cooling plate according to claim 1, characterized in that: After step S5, the method further includes: The steps S1 , S2 , S3 and S4 are performed again to determine the effectiveness of implementing the step S5 .

9. A liquid cooling plate flow channel uniformity evaluation and analysis device, characterized in that: Including data acquisition module, data preprocessing module, DMD algorithm module, uniformity analysis module: The data acquisition module is used to collect flow data and temperature data of the liquid cooling plate; The data preprocessing module is used to preprocess the flow data and temperature data to obtain analysis data; The DMD algorithm module is used to decompose the analysis data into dynamic modes according to a preset DMD algorithm; The uniformity analysis module is used to evaluate the uniformity of the flow channel of the liquid cooling plate according to the dynamic mode.

10. The flow channel uniformity evaluation and analysis device according to claim 9, characterized in that: The liquid cooling plate flow channel uniformity evaluation device further includes a notification module, which is used to display the evaluation result of the liquid cooling plate flow uniformity and issue a corresponding type of notification according to the evaluation result.

11. A device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

12. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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