Heat dissipation test method, device and equipment for energy storage battery box and storage medium

Abstract

The invention discloses an energy storage battery box body heat dissipation test method, device and equipment and a storage medium, and relates to the technical field of battery box body heat dissipation tests.The method comprises the following steps that a heat dissipation test environment is set, and an energy storage battery box body and a thermal imager are placed; performing a heat dissipation test on the energy storage battery box body, and detecting a surface thermal image of the energy storage battery box body through a thermal imager; the heat dissipation performance of the energy storage battery box body is analyzed based on the surface thermal imaging graph; the method is used for solving the problem that the evaluation of the heat dissipation performance of the battery box body has errors due to the fact that factors influencing the heat dissipation performance of the battery box body are not comprehensively considered in the existing heat dissipation test technology of the battery box body.

Description

Technical Field

[0001] The present invention relates to the technical field of battery box heat dissipation testing, and specifically provides a heat dissipation testing method, device, equipment and storage medium for an energy storage battery box. Background Art

[0002] Battery box heat dissipation testing technology refers to a series of testing methods and technologies used to evaluate the heat conduction, heat dissipation and protection performance of a battery box during operation. Through these tests, the heat dissipation effect of the battery box in a high-temperature environment can be evaluated to ensure the stability and safety of the battery during operation.

[0003] Existing battery box heat dissipation testing technologies usually analyze the heat change on the surface of the battery box to evaluate its heat dissipation performance. However, the heat dissipation performance of the battery box is not only affected by the amount of heat change. The uniformity of the surface heat of the battery box is also crucial. If the heat on the surface of the battery box is uneven, long-term use will cause changes in the hardness of the battery box surface, thereby affecting the safety of the battery. For example, in the patent application with the publication number CN116995340A, a multi-pole self-switching detection device and its detection method for an energy storage battery box are disclosed. This solution only analyzes the temperature change of the battery inside the battery box and ignores the heat dissipation performance of the battery box itself. The heat dissipation performance of the battery box itself is also crucial for the overall heat dissipation of the battery, especially the uniformity of the surface temperature distribution during heat dissipation. Existing battery box heat dissipation testing technologies also have the problem of not comprehensively considering the factors affecting the heat dissipation performance of the battery box, resulting in incorrect evaluation of the heat dissipation performance of the battery box. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems in the prior art to some extent. By setting up a heat dissipation test environment, placing an energy storage battery box and a thermal imager, then conducting a heat dissipation test on the energy storage battery box, detecting the surface thermal image of the energy storage battery box through the thermal imager, then extracting the heat dissipation surface features of the surface thermal image, analyzing the heat dissipation performance index of the energy storage battery box based on the heat dissipation surface features of the first thermal image and the second thermal image, and finally evaluating the heat dissipation performance of the energy storage battery box, to solve the problem that existing battery box heat dissipation testing technologies do not comprehensively consider the factors affecting the heat dissipation performance of the battery box, resulting in incorrect evaluation of the heat dissipation performance of the battery box.

[0005] To achieve the above object, in a first aspect, the present application provides a heat dissipation testing method for an energy storage battery box, including the following steps: Set up a heat dissipation test environment, and place an energy storage battery box and a thermal imager; Perform a heat dissipation test on the energy storage battery box body, and detect the surface thermal imaging map of the energy storage battery box body through a thermal imager; Analyze the heat dissipation performance of the energy storage battery box body based on the surface thermal imaging map.

[0006] Furthermore, set up a heat dissipation test environment, and install temperature sensors in the energy storage battery box body, including the following sub-steps: Set up a test room, which is an air-conditioned enclosed room for simulating different environmental temperatures; Set up a first box body and a second box body. The first box body is an energy storage battery box body with a heat dissipation device, and the second box body is an energy storage battery box body with the power connection of the heat dissipation device disconnected; Place the first box body and the second box body in the test room and fix them with fixing devices; Thermal imagers are arranged in different directions corresponding to the six faces of the energy storage battery box body.

[0007] Furthermore, perform a heat dissipation test on the energy storage battery box body, and detect the internal temperature and surface thermal imaging map of the energy storage battery box body through temperature sensors and thermal imagers, including the following sub-steps: Set a first temperature and a second temperature, where the first temperature is less than the second temperature; Take the range from the first temperature to the second temperature as a range interval, named the temperature range, and evenly divide the temperature range into sub-intervals with a first test quantity, named temperature sub-intervals; Obtain the median of each temperature sub-interval, mark it as the test temperature, number the test temperatures from smallest to largest, and represent them by the symbol T n where n is a non-zero natural number and n is the serial number of T, and the maximum value of n is the first test quantity, denoted as N; Set a first test quantity of test groups, represented by the symbol P n P n The corresponding test temperature is T n ; Perform a heat dissipation test on the energy storage battery box body through the test groups. Obtain the surface thermal imaging map of the first box body through the thermal imager, mark it as the first thermal imaging map, and obtain the surface thermal imaging map of the second box body, mark it as the second thermal imaging map; The surface thermal imaging map includes thermal imaging images of six faces, namely the left side image, the front side image, the right side image, the rear side image, the upper side image, and the lower side image.

[0008] Furthermore, analyze the heat dissipation performance of the energy storage battery box body based on the surface thermal imaging map, including the following sub-steps: Extract the heat dissipation surface features of the surface thermal imaging map; Analyze the heat dissipation index of the energy storage battery box based on the first thermal imaging map and the second thermal imaging map; Evaluate the heat dissipation performance of the energy storage battery box.

[0009] Furthermore, extracting the heat dissipation surface features of the surface thermal imaging map includes the following sub-steps: Convert the surface thermal imaging map into a grayscale image, named the surface grayscale map; Obtain the grayscale values of the pixel points in the surface grayscale map, named the surface grayscale values; Sort and number the surface grayscale values in ascending order, represented by the symbol H i where i is a non-zero natural number and i is the serial number of H; Taking i as the X-axis and H ｉ as the Y-axis, establish a plane rectangular coordinate system, named the uniform feature map, and enter H i into the uniform feature map according to the corresponding i, perform linear regression on the uniform feature map, and obtain the slope of the regression function, named the heat dissipation uniformity; Count the number of different surface grayscale values, named the heat quantity, establish a plane rectangular coordinate system with the surface grayscale value as the horizontal axis and the heat quantity as the vertical axis, named the heat dissipation feature map, enter the surface grayscale value and the corresponding heat quantity into the heat dissipation feature map, connect the adjacent coordinate points in the heat dissipation feature map with a smooth curve, and name the connected curve the heat dissipation feature curve; Obtain the minimum value on the horizontal axis in the heat dissipation feature curve, marked as the minimum grayscale value, and obtain the value on the horizontal axis corresponding to the maximum value on the vertical axis in the heat dissipation feature curve, marked as the grayscale aggregation value; Obtain the temperature corresponding to the minimum grayscale value, marked as the maximum temperature value, and obtain the temperature corresponding to the grayscale aggregation value, marked as the temperature aggregation value; The heat dissipation uniformity, the maximum temperature value, and the temperature aggregation value are collectively referred to as the heat dissipation surface features.

[0010] Furthermore, analyzing the heat dissipation index of the energy storage battery box based on the heat dissipation surface features of the first thermal imaging map and the second thermal imaging map includes the following sub-steps: Mark the heat dissipation uniformity, the maximum temperature value, and the temperature aggregation value of the first thermal imaging map as U1, MT1, and TA1 in sequence; mark the heat dissipation uniformity, the maximum temperature value, and the temperature aggregation value of the second thermal imaging map as U2, MT2, and TA2 in sequence; Obtain the mass and specific heat capacity of the energy storage battery box, represented by the symbols M and C respectively; The heat is calculated by the formula Q=M×C×ΔT, where Q is the heat and ΔT is (MT2-MT1) or (TA2-TA1). If ΔT is (MT2-MT1), the calculated Q is marked as the hot spot heat dissipation. If ΔT is (TA2-TA1), the calculated Q is marked as the aggregate heat dissipation. Calculate the difference between U1 and U2, mark it as uniform stability, and set T n The corresponding uniform stability is marked as US n , T n The corresponding hot spot heat dissipation is marked as QA n , T n The corresponding aggregate heat dissipation is marked as QB n ; T n The X-axis is US n , QA n and QB n Establish a plane rectangular coordinate system for the Y axis, named uniform stability trend graph, hot spot heat dissipation trend graph, and aggregate heat dissipation trend graph, and convert US n According to the T corresponding to n n Enter the uniform and stable trend chart and n According to the T corresponding to n n Enter the hot spot cooling trend chart and QB n According to the T corresponding to n n Enter the cluster heat dissipation trend graph; Perform linear regression on the uniform stability trend graph, the hot spot heat dissipation trend graph and the aggregate heat dissipation trend graph respectively, and obtain the slopes of the regression functions, which are named as the uniform stability index, the hot spot heat dissipation index and the aggregate heat dissipation index, and are represented by symbols RU, RQA and RQB respectively; By formula Calculate the heat dissipation index of the energy storage battery box, where G is the heat dissipation index.

[0011] Furthermore, evaluating the heat dissipation performance of the energy storage battery box includes the following sub-steps: Obtain uniform stability threshold, hot spot heat dissipation threshold, aggregate heat dissipation threshold and heat dissipation threshold; Determine whether the uniform stability index, hot spot heat dissipation index, aggregate heat dissipation index and heat dissipation index are respectively within the uniform stability threshold, hot spot heat dissipation threshold, aggregate heat dissipation threshold and heat dissipation threshold, if so, output a heat dissipation qualified signal, otherwise output a heat dissipation unqualified signal; If a heat dissipation failure signal is output, it indicates that the heat dissipation capacity of the energy storage battery box is unqualified.

[0012] Second aspect, the present application provides a heat dissipation test device for an energy storage battery box, including a test environment configuration module, a heat dissipation test module, and a heat dissipation performance evaluation module; the test environment configuration module and the heat dissipation test module are respectively connected to the heat dissipation performance evaluation module for data connection; The test environment configuration module is used to set up a heat dissipation test environment, place the energy storage battery box and a thermal imager; The heat dissipation test module is used to conduct a heat dissipation test on the energy storage battery box and detect the surface thermal image of the energy storage battery box through the thermal imager; The heat dissipation performance evaluation module is used to analyze the heat dissipation performance of the energy storage battery box based on the surface thermal image.

[0013] Third aspect, the present application provides an electronic device, including a processor and a memory, where the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the above method are run.

[0014] Fourth aspect, the present application provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the above method are run.

[0015] Advantages of the present invention: By setting up a heat dissipation test environment, placing the energy storage battery box and a thermal imager, then conducting a heat dissipation test on the energy storage battery box, detecting the surface thermal image of the energy storage battery box through the thermal imager, and then extracting the heat dissipation surface features of the surface thermal image. The advantages are that the heat dissipation surface features reveal the uniformity of the heat dissipation performance of the energy storage battery box, simultaneously reveal the cooling efficiency of the point with the highest surface heat of the energy storage battery box, and display the heat distribution of a large area on the surface of the energy storage battery box, providing a reliable and comprehensive data basis for subsequent evaluation of the heat dissipation performance of the energy storage battery box, and improving the accuracy and comprehensiveness of the heat dissipation test of the battery box; By analyzing the heat dissipation performance indicators of the energy storage battery box based on the heat dissipation surface features of the first thermal image and the second thermal image, and finally evaluating the heat dissipation performance of the energy storage battery box. The advantages are that the heat dissipation performance of the energy storage battery box is evaluated from multiple aspects, ensuring the comprehensiveness of influencing factors, and improving the accuracy and effectiveness of the heat dissipation test of the battery box. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a schematic block diagram of the device of the present invention; Figure 2 is a schematic diagram of the fixing device of the present invention; Figure 3 is a uniform feature diagram of the present invention; Figure 4 is a heat dissipation feature diagram of the present invention; Figure 5 is the uniform and stable trend chart of the present invention; Figure 6 is the step flow chart of the method of the present invention; Figure 7 is the structural schematic diagram of the electronic device of the present invention. Detailed implementation manners

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0018] Example 1, please refer to Figure 1 As shown, the present application provides a heat dissipation test device for an energy storage battery box, including a test environment configuration module, a heat dissipation test module, and a heat dissipation evaluation module; the test environment configuration module and the heat dissipation test module are respectively connected to the heat dissipation evaluation module for data connection; The test environment configuration module is used to set the heat dissipation test environment, place the energy storage battery box and the thermal imager; The test environment configuration module is configured with a test environment configuration strategy, and the test environment configuration strategy includes: Set a test room, which is an air-conditioned closed room for simulating different environmental temperatures; Set a first box body and a second box body. The first box body is an energy storage battery box with a heat dissipation device, and the second box body is an energy storage battery box with the power connection of the heat dissipation device disconnected; Please refer to Figure 2 As shown, place the first box body and the second box body in the test room and fix them with a fixing device; Thermal imagers are arranged in different directions corresponding to the six surfaces of the energy storage battery box; In practical applications, the fixing device is as Figure 2 shown. The fixing device is composed of 4 fixing brackets. By fixing the four corners of the energy storage battery box, the energy storage battery box is fixed at a certain height while ensuring that the part blocked by the fixing device is the least and not the central part when the thermal imager takes pictures of the energy storage battery box, so that the six surfaces of the energy storage battery box do not contact the desktop, maximizing its heat dissipation capacity. At the same time, the short-term support will not cause the shape of the energy storage battery box to change due to uneven bottom stress. The test temperature is regulated by the air conditioner during the heat dissipation test.

[0019] The heat dissipation test module is used to conduct heat dissipation tests on the energy storage battery box body, and detect the surface thermal imaging map of the energy storage battery box body through a thermal imager; The heat dissipation test module is configured with a heat dissipation test strategy, and the heat dissipation test strategy includes: Set a first temperature and a second temperature, where the first temperature is less than the second temperature; In practical applications, energy storage batteries usually operate within an optimal temperature range during charging and discharging. For energy storage batteries in electronic devices, due to the use of air conditioners in winter and summer, the indoor temperature will be maintained within a stable range. For outdoor devices such as cars, their energy storage batteries are usually actively heated or cooled to reach a certain temperature range. In this embodiment, the energy storage battery is defaulted to a lithium battery, and its optimal operating temperature is 20°C to 60°C, while the ambient temperature is usually at most 40°C. Therefore, the first temperature is set to 20°C and the second temperature is set to 40°C; Take the range from the first temperature to the second temperature as a range interval, named the temperature range, and evenly divide the temperature range into sub-intervals with the first test quantity, named temperature sub-intervals; Obtain the median of each temperature sub-interval, mark it as the test temperature, number the test temperatures from smallest to largest, and represent them by the symbol T n where n is a non-zero natural number and n is the serial number of T, and the maximum value of n is the first test quantity, denoted as N; In practical applications, the temperature range is [20°C, 40°C], and the first test quantity N is set to 10. The setting of the first test quantity is to observe the change trend of the heat dissipation capacity of the energy storage battery box body when the ambient temperature changes in equal gradients. There is no fixed value. After division, 10 temperature sub-intervals are obtained, which are [20°C, 22°C], [22°C, 24°C], [24°C, 26°C], [26°C, 28°C], [28°C, 30°C], [30°C, 32°C], [32°C, 34°C], [34°C, 36°C], [36°C, 38°C] and [38°C, 40°C]. Take their medians to obtain the test temperatures T 1 to T 10 which are 21°C, 23°C, 25°C, 27°C, 29°C, 31°C, 33°C, 35°C, 37°C and 39°C in sequence; Set test groups with the first test quantity, and represent them by the symbol P n where the test temperature corresponding to P n is T n ; Conduct heat dissipation tests on the energy storage battery box body through the test groups. Obtain the surface thermal imaging map of the first box body through the thermal imager, mark it as the first thermal imaging map, and obtain the surface thermal imaging map of the second box body, mark it as the second thermal imaging map; The surface thermal imaging map includes thermal imaging images of six faces, namely the left-side image, the front-side image, the right-side image, the rear-side image, the upper-side image, and the lower-side image; In practical applications, 10 test groups are set up, which are P 1 to P 10 in sequence, and the corresponding test temperatures are T 1 to T 10 in sequence; the surface thermal imaging map can reflect the temperature distribution on the surface of the energy storage battery box, thereby providing reference data for the uniformity of heat dissipation of the energy storage battery box.

[0020] The heat dissipation evaluation module is used to analyze the heat dissipation of the energy storage battery box based on the surface thermal imaging map; the heat dissipation evaluation module includes a surface feature extraction unit, an index calculation unit, and a performance evaluation unit; The surface feature extraction unit is used to extract the heat dissipation surface features of the surface thermal imaging map; The surface feature extraction unit is configured with a surface feature extraction strategy, and the surface feature extraction strategy includes: Convert the surface thermal imaging map into a grayscale image, named the surface grayscale map; Obtain the grayscale values of the pixel points in the surface grayscale map, named the surface grayscale values; Sort and number the surface grayscale values in ascending order, represented by the symbol H i , where i is a non-zero natural number and i is the serial number of H; Please refer to Figure 3 as shown. Taking i as the X-axis and H ｉ as the Y-axis, establish a plane rectangular coordinate system, named the uniformity feature map, input H i into the uniformity feature map according to the corresponding i, perform linear regression on the uniformity feature map, and obtain the slope of the regression function, named the heat dissipation uniformity; In practical applications, in an infrared thermal imaging picture, each pixel point represents a specific temperature data, and these different temperature data are equipped with a unique color grayscale value according to the numerical value. Therefore, the surface thermal imaging map can be directly converted into a grayscale map based on the color grayscale value, and at the same time, the temperature corresponding to the pixel point can be found based on the grayscale value of the pixel point in the grayscale map; the constructed uniformity feature map is as Figure 3 shown. Due to the extremely large amount of data, Figure 3 only shows some coordinate points. The heat dissipation uniformity obtained through linear regression is 0.0018; Please refer to Figure 4As shown in the figure, the number of different surface gray values is counted, named the heat quantity. Taking the surface gray value as the horizontal axis and the heat quantity as the vertical axis, a plane rectangular coordinate system is established, named the heat dissipation characteristic diagram. The surface gray value and the corresponding heat quantity are entered into the heat dissipation characteristic diagram, and the adjacent coordinate points in the heat dissipation characteristic diagram are connected by a smooth curve. The curve obtained by the connection is named the heat dissipation characteristic curve; Obtain the minimum value on the horizontal axis of the heat dissipation characteristic curve, marked as the minimum gray value, and obtain the value on the horizontal axis corresponding to the maximum value on the vertical axis of the heat dissipation characteristic curve, marked as the gray value aggregation value; Obtain the temperature corresponding to the minimum gray value, marked as the maximum temperature value, and obtain the temperature corresponding to the gray value aggregation value, marked as the temperature aggregation value; The heat dissipation uniformity, the maximum temperature value, and the temperature aggregation value are collectively referred to as the heat dissipation surface characteristics; In practical applications, taking the surface gray value of 145 as an example, it is statistically obtained that there are 106 pixel points with a surface gray value of 145 in the thermal imaging images of 6 surfaces in the surface thermal imaging diagram. Therefore, the heat quantity of the surface gray value of 145 is 106, and the heat dissipation characteristic diagram is constructed as shown in Figure 4 the figure. Among them, the minimum gray value and the gray value aggregation value are both marked in Figure 4 the figure, which are 51 and 126 respectively. The smaller the gray value, the higher the temperature here. Therefore, the minimum gray value corresponds to the maximum temperature value, and the temperatures corresponding to the gray values of 51 and 126 are 52°C and 35°C respectively. Therefore, the maximum temperature value is obtained as 51°C, and the temperature aggregation value is 35°C; The index calculation unit is used to analyze the heat dissipation index of the energy storage battery box based on the heat dissipation surface characteristics of the first thermal imaging diagram and the second thermal imaging diagram; The index calculation unit is configured with an index calculation strategy, and the index calculation strategy includes: Mark the heat dissipation uniformity, the maximum temperature value, and the temperature aggregation value of the first thermal imaging diagram as U1, MT1, and TA1 in sequence; mark the heat dissipation uniformity, the maximum temperature value, and the temperature aggregation value of the second thermal imaging diagram as U2, MT2, and TA2 in sequence; Obtain the mass and specific heat capacity of the energy storage battery box, represented by the symbols M and C respectively; Calculate the heat by the formula Q = M×C×ΔT, where Q is the heat, and ΔT is (MT2 - MT1) or (TA2 - TA1). If ΔT is (MT2 - MT1), then the calculated Q is marked as the heat dissipation of the hot spot. If ΔT is (TA2 - TA1), then the calculated Q is marked as the heat dissipation of the aggregation; In practical applications, the mass M of the energy storage battery box is obtained as 150 kg = 150,000 g, and the specific heat capacity C is 1.0 J / (g·°C). Taking MT2 and MT1 as examples, MT2 in this embodiment is 51°C, and MT1 is 38°C. Substituting these values into the calculation, the heat dissipation of the hot spot is obtained as 195,000 J. For the convenience of subsequent calculations, it is converted to kilojoules, that is, 195 kJ. The calculation process of the aggregated heat dissipation is the same as that of the hot spot heat dissipation, and no specific description will be given in this embodiment; Calculate the difference between U1 and U2, and mark it as uniform stability. Let T n The corresponding uniform stability is marked as US n , and let T n The corresponding heat dissipation of the hot spot is marked as QA n , and let T n The corresponding aggregated heat dissipation is marked as QB n ; Please refer to Figure 5 As shown, taking T n as the X-axis, and taking US n , QA n and QB n as the Y-axis respectively to establish a plane rectangular coordinate system, named the uniform stability trend chart, the hot spot heat dissipation trend chart, and the aggregated heat dissipation trend chart. Enter US n into the uniform stability trend chart according to the T n corresponding to n, enter QA n into the hot spot heat dissipation trend chart according to the T n corresponding to n, and enter QB n into the aggregated heat dissipation trend chart according to the T n corresponding to n; Perform linear regression on the uniform stability trend chart, the hot spot heat dissipation trend chart, and the aggregated heat dissipation trend chart respectively to obtain the slopes of the regression functions, which are named the uniform stability index, the hot spot heat dissipation index, and the aggregated heat dissipation index respectively, and are represented by the symbols RU, RQA, and RQB respectively; Calculate the heat dissipation index of the energy storage battery box through the formula , where G is the heat dissipation index; In practical applications, the uniform stability U1 and U2 respectively reveal the uniform characteristics of the temperature distribution on the surface of the energy storage battery box with and without a heat dissipation device. The difference between them can determine whether the uniform characteristics are stable. If the difference is small, it means that the temperature distribution on its surface fluctuates less under different temperature conditions and heat dissipation conditions, and vice versa. Due to the excessive amount of data, the calculated data will not be specifically shown in this embodiment, and the analysis processes for the uniform stability trend chart, hot spot heat dissipation trend chart, and aggregated heat dissipation trend chart are the same. Therefore, this embodiment only shows and illustrates it through the uniform stability trend chart; The constructed uniform stability trend chart is as follows Figure 5 shown. By linear regression, the uniform stability index RU is 0.0001. Similarly, the hot spot heat dissipation index RQA and the aggregated heat dissipation index RQB are 0.4061 and 1.4758 respectively. Through multiple analyses, it is found that RU is usually four decimal places, which is quite different from RQA and RQB. Therefore, it is increased to a single digit to balance the influence weight, that is, the formula is changed to , and the solved heat dissipation index G is 1.8819; The performance evaluation unit is used to evaluate the heat dissipation performance of the energy storage battery box; The performance evaluation unit is configured with a performance evaluation strategy, and the performance evaluation strategy includes: Obtain the uniform stability threshold, hot spot heat dissipation threshold, aggregated heat dissipation threshold, and heat dissipation threshold; Judge whether the uniform stability index, hot spot heat dissipation index, aggregated heat dissipation index, and heat dissipation index are respectively within the uniform stability threshold, hot spot heat dissipation threshold, aggregated heat dissipation threshold, and heat dissipation threshold. If so, output a qualified heat dissipation signal; otherwise, output an unqualified heat dissipation signal; If an unqualified heat dissipation signal is output, mark that the heat dissipation capacity of the energy storage battery box is unqualified; In practical applications, the uniform stability threshold, hot spot heat dissipation threshold, aggregated heat dissipation threshold, and heat dissipation threshold are all judgment thresholds obtained through multiple analyses of existing qualified and unqualified energy storage battery boxes. In multiple experimental analyses of known qualified or unqualified energy storage battery boxes, it is found that the RU, RQA, RQB, and G of the qualified energy storage battery boxes are all within the uniform stability threshold, hot spot heat dissipation threshold, aggregated heat dissipation threshold, and heat dissipation threshold. If any one exceeds the threshold, it means that the heat dissipation performance of the energy storage battery box is unqualified.

[0021] Embodiment 2, please refer to Figure 6 shown. The present application provides a method for testing the heat dissipation of an energy storage battery box, including the following steps: Step S1, set up a heat dissipation test environment, and place the energy storage battery box and a thermal imager; Step S1 includes the following sub-steps: Step S101, set up a test room, which is an enclosed room with an air conditioner and is used to simulate different environmental temperatures; Step S102, set up a first box body and a second box body. The first box body is an energy storage battery box body with a heat dissipation device, and the second box body is an energy storage battery box body with the power connection of the heat dissipation device disconnected; Step S103, place the first box body and the second box body in the test room and fix them with a fixing device; Step S104, thermal imagers are arranged in different directions corresponding to the six surfaces of the energy storage battery box body; Step S2, conduct a heat dissipation test on the energy storage battery box body, and detect the surface thermal imaging diagram of the energy storage battery box body through a thermal imager; Step S2 includes the following sub-steps: Step S202, set a first temperature and a second temperature, where the first temperature is less than the second temperature; Step S202, take the range from the first temperature to the second temperature as a range interval, name it the temperature range, and evenly divide the temperature range into sub-intervals with a first test quantity, and name them temperature sub-intervals; Step S203, obtain the median of each temperature sub-interval, mark it as the test temperature, number the test temperatures from small to large, and represent them through the symbol T n It is represented that, where n is a non-zero natural number and n is the serial number of T, and the maximum value of n is the first test quantity, represented as N; Step S204, set a first test quantity of test groups, and represent them through the symbol P n It is represented that P n The corresponding test temperature is T n ; Step S205, conduct a heat dissipation test on the energy storage battery box body through the test groups, obtain the surface thermal imaging diagram of the first box body through the thermal imager, mark it as the first thermal imaging diagram, and obtain the surface thermal imaging diagram of the second box body, mark it as the second thermal imaging diagram; The surface thermal imaging diagram includes thermal imaging images of six surfaces, namely the left side diagram, the front side diagram, the right side diagram, the rear side diagram, the upper side diagram, and the lower side diagram; Step S3, analyze the heat dissipation performance of the energy storage battery box body based on the surface thermal imaging diagram; Step S3 includes the following sub-steps: Step S301, extract the heat dissipation surface characteristics of the surface thermal imaging diagram; Step S301 includes the following sub-steps: Step S3011, convert the surface thermal imaging diagram into a grayscale image, named the surface grayscale image; Step S3012, obtain the grayscale values of the pixel points in the surface grayscale image, named the surface grayscale values; Step S3013, sort and number the surface gray values in ascending order, denoted by the symbol H i where i is a non-zero natural number and i is the serial number of H; Step S3014, taking i as the X-axis and H ｉ as the Y-axis, establish a plane rectangular coordinate system, named the uniform feature map, input H i into the uniform feature map according to the corresponding i, perform linear regression on the uniform feature map, and obtain the slope of the regression function, named the heat dissipation uniformity; Step S3015, count the number of different surface gray values, named the heat quantity, establish a plane rectangular coordinate system with the surface gray value as the horizontal axis and the heat quantity as the vertical axis, named the heat dissipation feature map, input the surface gray value and the corresponding heat quantity into the heat dissipation feature map, connect the adjacent coordinate points in the heat dissipation feature map through a smooth curve, and name the connected curve the heat dissipation feature curve; Step S3016, obtain the minimum value on the horizontal axis in the heat dissipation feature curve, marked as the minimum gray value, and obtain the value on the horizontal axis corresponding to the maximum value on the vertical axis in the heat dissipation feature curve, marked as the gray value aggregation; Step S3017, obtain the temperature corresponding to the minimum gray value, marked as the maximum temperature value, and obtain the temperature corresponding to the gray value aggregation, marked as the temperature aggregation value; Step S3018, the heat dissipation uniformity, the maximum temperature value, and the temperature aggregation value are collectively called the heat dissipation surface characteristics; Step S302, analyze the heat dissipation index of the energy storage battery box based on the heat dissipation surface characteristics of the first thermal imaging map and the second thermal imaging map; Step S302 includes the following sub-steps: Step S3021, mark the heat dissipation uniformity, the maximum temperature value, and the temperature aggregation value of the first thermal imaging map as U1, MT1, and TA1 in sequence; mark the heat dissipation uniformity, the maximum temperature value, and the temperature aggregation value of the second thermal imaging map as U2, MT2, and TA2 in sequence; Step S3022, obtain the mass and specific heat capacity of the energy storage battery box, denoted by the symbols M and C respectively; Step S3023, calculate the heat by the formula Q = M×C×ΔT, where Q is the heat, ΔT is (MT2 - MT1) or (TA2 - TA1), if ΔT is (MT2 - MT1), then mark the calculated Q as the hot spot heat dissipation, if ΔT is (TA2 - TA1), then mark the calculated Q as the aggregation heat dissipation; Step S3024, calculate the difference between U1 and U2, marked as the uniform stability, mark the corresponding uniform stability of T n as US n and mark the corresponding uniform stability of Tn The corresponding heat dissipation of the hot spot is marked as QA n , and for T n The corresponding heat dissipation of the aggregation is marked as QB n ; Step S3025: Taking T n as the X-axis, and taking US n , QA n and QB n as the Y-axis respectively to establish a plane rectangular coordinate system, named the uniform stability trend graph, the hot spot heat dissipation trend graph and the aggregation heat dissipation trend graph. Input US n into the uniform stability trend graph according to the T n corresponding to n, input QA n into the hot spot heat dissipation trend graph according to the T n corresponding to n, and input QB n into the aggregation heat dissipation trend graph according to the T n corresponding to n; Step S3026: Perform linear regression on the uniform stability trend graph, the hot spot heat dissipation trend graph and the aggregation heat dissipation trend graph respectively to obtain the slopes of the regression functions, named the uniform stability index, the hot spot heat dissipation index and the aggregation heat dissipation index respectively, and represented by the symbols RU, RQA and RQB respectively; Step S3027: Calculate the heat dissipation index of the energy storage battery box through the formula , where G is the heat dissipation index; Step S303: Evaluate the heat dissipation performance of the energy storage battery box; Step S303 includes the following sub-steps: Step S3031: Obtain the uniform stability threshold, the hot spot heat dissipation threshold, the aggregation heat dissipation threshold and the heat dissipation threshold; Step S3032: Judge whether the uniform stability index, the hot spot heat dissipation index, the aggregation heat dissipation index and the heat dissipation index are respectively within the uniform stability threshold, the hot spot heat dissipation threshold, the aggregation heat dissipation threshold and the heat dissipation threshold. If so, output a qualified heat dissipation signal; otherwise, output an unqualified heat dissipation signal; Step S3033: If an unqualified heat dissipation signal is output, mark that the heat dissipation capacity of the energy storage battery box is unqualified.

[0022] Example 3, please refer to Figure 7 as shown Figure 7The structural schematic diagram of an electronic device is exemplified. The electronic device may include: a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete mutual communication through the communication bus. The memory stores computer-readable instructions. The processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in a heat dissipation test method for an energy storage battery box are run to achieve the following functions: setting up a heat dissipation test environment, placing the energy storage battery box and a thermal imager; conducting a heat dissipation test on the energy storage battery box, and detecting the surface thermal imaging diagram of the energy storage battery box through the thermal imager; analyzing the heat dissipation performance of the energy storage battery box based on the surface thermal imaging diagram.

[0023] In addition, when the logical instructions in the above-mentioned memory are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of this 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 to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0024] Embodiment 4, this application also provides a computer-readable storage medium. This application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned heat dissipation test method for an energy storage battery box are run to achieve the following functions: setting up a heat dissipation test environment, placing the energy storage battery box and a thermal imager; conducting a heat dissipation test on the energy storage battery box, and detecting the surface thermal imaging diagram of the energy storage battery box through the thermal imager; analyzing the heat dissipation performance of the energy storage battery box based on the surface thermal imaging diagram.

[0025] Through the description of the above embodiments, the embodiments of the present invention can be provided as a method, a system, or a computer program product. Based on such an understanding, the above technical solution, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disks, optical discs, etc., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments.

[0026] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The above-described embodiments are merely illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods. For another example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some communication interfaces. The indirect coupling or communication connection of systems, modules, and units can be electrical, mechanical, or other forms.

[0027] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for testing heat dissipation of an energy storage battery box, characterized in that: The steps include: Set up a heat dissipation test environment and place the energy storage battery box and thermal imager; Conduct heat dissipation test on the energy storage battery box, and use a thermal imager to detect the surface thermal image of the energy storage battery box; Analyze the heat dissipation of the energy storage battery box based on surface thermal imaging; Extract heat dissipation surface features from surface thermal images; Extracting the heat dissipation surface features of the surface thermal image includes the following sub-steps: Convert the surface thermal image into a grayscale image, named surface grayscale image; Get the grayscale value of the pixel in the surface grayscale image, named surface grayscale value; The surface grayscale values ​​are sorted and numbered in ascending order, and the symbol H is used to represent the grayscale values. i It represents, where i is a non-zero natural number and i is the serial number of H; With i as the X axis, H ｉ As the Y axis, establish a plane rectangular coordinate system, named uniform feature map, and set H i Enter the uniform characteristic map according to the corresponding i, perform linear regression on the uniform characteristic map, and obtain the slope of the regression function, which is named heat dissipation uniformity; Count the number of different surface gray values, named as heat quantity, establish a plane rectangular coordinate system with the surface gray value as the horizontal axis and the heat quantity as the vertical axis, named as the heat dissipation characteristic map, enter the surface gray value and the corresponding heat quantity into the heat dissipation characteristic map, connect the adjacent coordinate points in the heat dissipation characteristic map through a smooth curve, and name the connected curve as the heat dissipation characteristic curve; Obtain the minimum value on the horizontal axis of the heat dissipation characteristic curve, marked as the minimum gray value, and obtain the value on the horizontal axis corresponding to the maximum value on the vertical axis of the heat dissipation characteristic curve, marked as the gray aggregation value; Get the temperature corresponding to the minimum grayscale value, mark it as the maximum temperature value, get the temperature corresponding to the grayscale aggregation value, mark it as the temperature aggregation value; The heat dissipation uniformity, maximum temperature value and temperature concentration value are collectively referred to as heat dissipation surface characteristics.

2. A method for testing heat dissipation of an energy storage battery box according to claim 1, characterized in that: Setting up the heat dissipation test environment and installing the temperature sensor in the energy storage battery box includes the following sub-steps: Setting up a test room, wherein the test room is a closed room with air conditioning for simulating different ambient temperatures; A first box and a second box are provided, wherein the first box is an energy storage battery box with a heat dissipation device, and the second box is an energy storage battery box with a power supply connection of the heat dissipation device disconnected; Placing the first box and the second box in a test room and fixing them with a fixing device; Thermal imagers are arranged in different directions corresponding to the six surfaces of the energy storage battery box.

3. A method for testing heat dissipation of an energy storage battery box according to claim 2, characterized in that: The heat dissipation test of the energy storage battery box is carried out, and the internal temperature and surface thermal image of the energy storage battery box are detected by temperature sensors and thermal imagers, including the following sub-steps: Setting a first temperature and a second temperature, wherein the first temperature is lower than the second temperature; The first temperature to the second temperature is taken as a range interval, named as the temperature range, and the temperature range is evenly divided into a first test number of sub-intervals, named as temperature sub-intervals; Get the median value of each temperature sub-interval, mark it as the test temperature, and number the test temperatures from small to large, using the symbol T n , where n is a non-zero natural number and n is the serial number of T, and the maximum value of n is the first test quantity, which is expressed as N; Set the test group of the first test number, through the symbol P n Indicates that P n The corresponding test temperature is T n ; The test group performs a heat dissipation test on the energy storage battery box, obtains a surface thermal image of the first box by a thermal imager, marked as a first thermal image, and obtains a surface thermal image of the second box, marked as a second thermal image; The surface thermal imaging image includes thermal imaging images of six surfaces, namely a left side image, a front side image, a right side image, a rear side image, an upper side image and a lower side image.

4. A method for testing heat dissipation of an energy storage battery box according to claim 3, characterized in that: Analyzing the heat dissipation of the energy storage battery box based on the surface thermal imaging image includes the following sub-steps: Analyzing the heat dissipation index of the energy storage battery box based on the heat dissipation surface characteristics of the first thermal imaging image and the second thermal imaging image; Evaluate the heat dissipation performance of the energy storage battery box.

5. A method for testing heat dissipation of an energy storage battery box according to claim 4, characterized in that: Analyzing the heat dissipation index of the energy storage battery box based on the heat dissipation surface characteristics of the first thermal imaging image and the second thermal imaging image includes the following sub-steps: The heat dissipation uniformity, maximum temperature value and temperature concentration value of the first thermal imaging image are marked as U1, MT1 and TA1 respectively; the heat dissipation uniformity, maximum temperature value and temperature concentration value of the second thermal imaging image are marked as U2, MT2 and TA2 respectively; Obtain the mass and specific heat capacity of the energy storage battery box, represented by symbols M and C respectively; The heat is calculated by the formula Q=M×C×ΔT, where Q is the heat and ΔT is (MT2-MT1) or (TA2-TA1). If ΔT is (MT2-MT1), the calculated Q is marked as the hot spot heat dissipation. If ΔT is (TA2-TA1), the calculated Q is marked as the aggregate heat dissipation. Calculate the difference between U1 and U2, mark it as uniform stability, and set T n The corresponding uniform stability is marked as US n , T n The corresponding hot spot heat dissipation is marked as QA n , T n The corresponding aggregate heat dissipation is marked as QB n ; T n The X-axis is US n , QA n and QB n Establish a plane rectangular coordinate system for the Y axis, named uniform stability trend graph, hot spot heat dissipation trend graph, and aggregate heat dissipation trend graph, and convert US n According to the T corresponding to n n Enter the uniform and stable trend chart and n According to the T corresponding to n n Enter the hot spot cooling trend chart and QB n According to the T corresponding to n n Enter the cluster heat dissipation trend graph; Perform linear regression on the uniform stability trend graph, the hot spot heat dissipation trend graph and the aggregate heat dissipation trend graph respectively, and obtain the slopes of the regression functions, which are named as the uniform stability index, the hot spot heat dissipation index and the aggregate heat dissipation index, and are represented by symbols RU, RQA and RQB respectively; By formula Calculate the heat dissipation index of the energy storage battery box, where G is the heat dissipation index.

6. A method for testing heat dissipation of an energy storage battery box according to claim 5, characterized in that: The evaluation of the heat dissipation performance of the energy storage battery box includes the following sub-steps: Obtain uniform stability threshold, hot spot heat dissipation threshold, aggregate heat dissipation threshold and heat dissipation threshold; Determine whether the uniform stability index, hot spot heat dissipation index, aggregate heat dissipation index and heat dissipation index are respectively within the uniform stability threshold, hot spot heat dissipation threshold, aggregate heat dissipation threshold and heat dissipation threshold, if so, output a heat dissipation qualified signal, otherwise output a heat dissipation unqualified signal; If a heat dissipation failure signal is output, it indicates that the heat dissipation capacity of the energy storage battery box is unqualified.

7. A heat dissipation test device for an energy storage battery box, used to implement a heat dissipation test method for an energy storage battery box according to any one of claims 1 to 6, characterized in that: It includes a test environment configuration module, a heat dissipation test module and a heat dissipation evaluation module; the test environment configuration module and the heat dissipation test module are respectively connected to the heat dissipation evaluation module by data; The test environment configuration module is used to set up a heat dissipation test environment and place an energy storage battery box and a thermal imager; The heat dissipation test module is used to perform a heat dissipation test on the energy storage battery box, and detect the surface thermal imaging image of the energy storage battery box by a thermal imager; The heat dissipation evaluation module is used to analyze the heat dissipation of the energy storage battery box based on the surface thermal imaging image.

8. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the steps in the method according to any one of claims 1 to 6 are executed.

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

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