A heat dissipation test method, device, equipment and storage medium for an energy storage battery box

Abstract

The present invention discloses a heat dissipation test method, device, equipment and storage medium for an energy storage battery box, which relates to the technical field of heat dissipation testing of battery boxes, and includes the following steps: setting 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; The present invention is used to solve the problem that the existing battery box heat dissipation test technology still has an insufficient consideration of the factors affecting the heat dissipation performance of the battery box, resulting in an incorrect evaluation of the heat dissipation performance of the battery box.

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 Technique

[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, but also the uniformity of the surface heat of the battery box is equally important. 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 detection method for an energy storage battery box are disclosed. This solution only analyzes the temperature change of the battery inside the battery box, ignoring the heat dissipation performance of the battery box itself, which 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 existing technology 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 characteristics of the surface thermal image, analyzing the heat dissipation performance index of the energy storage battery box based on the heat dissipation surface characteristics of the first thermal image and the second thermal image, and finally evaluating the heat dissipation performance of the energy storage battery box, so as 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 the first aspect, the present application provides a heat dissipation testing method for an energy storage battery box, including the following steps:

[0006] Set up a heat dissipation test environment, and place an energy storage battery box and a thermal imager;

[0007] Perform 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;

[0008] Analyze the heat dissipation performance of the energy storage battery box body based on the surface thermal imaging diagram.

[0009] Furthermore, set up a heat dissipation test environment and install temperature sensors in the energy storage battery box body, including the following sub-steps:

[0010] Set up a test room, which is an air-conditioned enclosed room for simulating different environmental temperatures;

[0011] 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;

[0012] Place the first box body and the second box body in the test room and fix them with fixing devices;

[0013] Thermal imagers are arranged in different directions corresponding to the six surfaces of the energy storage battery box body.

[0014] Furthermore, perform a heat dissipation test on the energy storage battery box body, and detect the internal temperature and surface thermal imaging diagram of the energy storage battery box body through temperature sensors and thermal imagers, including the following sub-steps:

[0015] Set a first temperature and a second temperature, where the first temperature is less than the second temperature;

[0016] Take the range from the first temperature to the second temperature as a range interval, named the temperature range, and divide the temperature range evenly into sub-intervals with a first test quantity, named temperature sub-intervals;

[0017] 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;

[0018] Set up a test group with a first test quantity, represented by the symbol P n where the corresponding test temperature of P n is T n ;

[0019] Perform a heat dissipation test on the energy storage battery box body through the test group. 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;

[0020] The surface thermal imaging map includes thermal imaging images of six surfaces, namely the left-side view, the front-side view, the right-side view, the rear-side view, the upper-side view, and the lower-side view.

[0021] Further, analyzing the heat dissipation of the energy storage battery box based on the surface thermal imaging map includes the following sub-steps:

[0022] Extract the heat dissipation surface features of the surface thermal imaging map;

[0023] Analyze 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;

[0024] Evaluate the heat dissipation performance of the energy storage battery box.

[0025] Further, extracting the heat dissipation surface features of the surface thermal imaging map includes the following sub-steps:

[0026] Convert the surface thermal imaging map into a grayscale image, named the surface grayscale map;

[0027] Obtain the grayscale values of the pixel points in the surface grayscale map, named the surface grayscale values;

[0028] 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;

[0029] Taking i as the X-axis and H ｉ as the Y-axis, establish a plane rectangular coordinate system, named the uniform feature map, 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;

[0030] 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;

[0031] 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;

[0032] 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;

[0033] The heat dissipation uniformity, the maximum temperature value, and the temperature aggregation value are collectively referred to as the heat dissipation surface features.

[0034] Furthermore, based on the heat dissipation surface characteristics of the first thermal imaging map and the second thermal imaging map, the heat dissipation index of the energy storage battery box includes the following sub-steps:

[0035] Mark the heat dissipation uniformity, maximum temperature value, and temperature aggregation value of the first thermal imaging map as U1, MT1, and TA1 in sequence; mark the heat dissipation uniformity, maximum temperature value, and temperature aggregation value of the second thermal imaging map as U2, MT2, and TA2 in sequence;

[0036] Obtain the mass and specific heat capacity of the energy storage battery box, represented by the symbols M and C respectively;

[0037] Calculate the heat quantity through the formula Q = M×C×ΔT, where Q is the heat quantity, ΔT is (MT2 - MT1) or (TA2 - TA1). If ΔT is (MT2 - MT1), mark the calculated Q as the heat dissipation quantity of the hot spot; if ΔT is (TA2 - TA1), mark the calculated Q as the heat dissipation quantity of the aggregation;

[0038] Calculate the difference between U1 and U2, marked as the uniformity stability, and mark the n corresponding uniformity stability as US n , and mark the n corresponding heat dissipation quantity of the hot spot as QA n , and mark the n corresponding heat dissipation quantity of the aggregation as QB n ;

[0039] 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 uniformity stability trend chart, the hot spot heat dissipation trend chart, and the aggregation heat dissipation trend chart. Enter US n into the uniformity 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 aggregation heat dissipation trend chart according to the T n corresponding to n;

[0040] Conduct linear regression on the uniformity stability trend chart, the hot spot heat dissipation trend chart, and the aggregation heat dissipation trend chart respectively, obtain the slopes of the regression functions, named the uniformity stability index, the hot spot heat dissipation index, and the aggregation heat dissipation index respectively, represented by the symbols RU, RQA, and RQB;

[0041] Through the formula Calculate the heat dissipation index of the energy storage battery box, where G is the heat dissipation index.

[0042] Further, the evaluation of the heat dissipation performance of the energy storage battery box includes the following sub-steps:

[0043] Obtain the uniform stability threshold, hot spot heat dissipation threshold, aggregation heat dissipation threshold, and heat dissipation index;

[0044] Judge whether the uniform stability index, hot spot heat dissipation index, aggregation heat dissipation index, and heat dissipation index are respectively within the uniform stability threshold, hot spot heat dissipation threshold, aggregation heat dissipation threshold, and heat dissipation index. If so, output a qualified heat dissipation signal; otherwise, output an unqualified heat dissipation signal;

[0045] If an unqualified heat dissipation signal is output, mark that the heat dissipation capacity of the energy storage battery box is unqualified.

[0046] In a 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 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;

[0047] The test environment configuration module is used to set the heat dissipation test environment, place the energy storage battery box and the thermal imager;

[0048] 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 map of the energy storage battery box through the thermal imager;

[0049] 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.

[0050] In a 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.

[0051] In a 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.

[0052] Advantages of the present invention: By setting up a heat dissipation test environment, placing an energy storage battery box and a thermal imager, and 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 characteristics of the surface thermal image. The advantage lies in that the heat dissipation surface characteristics reveal the uniformity of the heat dissipation of the energy storage battery box, and at the same time reveal the cooling efficiency of the point with the highest surface heat of the energy storage battery box, and show 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 of the energy storage battery box, and improving the accuracy and comprehensiveness of the heat dissipation test of the battery box;

[0053] The present invention analyzes the heat dissipation performance index of the energy storage battery box based on the heat dissipation surface characteristics of the first thermal image and the second thermal image, and finally evaluates the heat dissipation performance of the energy storage battery box. The advantage lies in that the heat dissipation performance of the energy storage battery box is evaluated in 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

[0054] Figure 1 is the principle block diagram of the device of the present invention;

[0055] Figure 2 is the schematic diagram of the fixing device of the present invention;

[0056] Figure 3 is the uniform feature diagram of the present invention;

[0057] Figure 4 is the heat dissipation feature diagram of the present invention;

[0058] Figure 5 is the uniform stability trend diagram of the present invention;

[0059] Figure 6 is the step flow chart of the method of the present invention;

[0060] Figure 7 is the schematic diagram of the structure of the electronic device of the present invention. Detailed Embodiments

[0061] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the 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.

[0062] Example 1, please refer to Figure 1As shown in the figure, 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;

[0063] The test environment configuration module is used to set up a heat dissipation test environment, place the energy storage battery box and the thermal imager;

[0064] The test environment configuration module is configured with a test environment configuration strategy, and the test environment configuration strategy includes:

[0065] Set up a test room, the test room is an air-conditioned sealed room for simulating different ambient temperatures;

[0066] Set up a first box and a second box, 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 the power connection of the heat dissipation device disconnected;

[0067] Please refer to Figure 2 As shown in the figure, place the first box and the second box in the test room and fix them with a fixing device;

[0068] Thermal imagers are arranged in different directions corresponding to the six faces of the energy storage battery box;

[0069] 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 under the condition 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 faces 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 force. In the heat dissipation test, the test temperature is regulated by the air conditioner.

[0070] 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 diagram of the energy storage battery box through the thermal imager;

[0071] The heat dissipation test module is configured with a heat dissipation test strategy, and the heat dissipation test strategy includes:

[0072] Set a first temperature and a second temperature, and the first temperature is less than the second temperature;

[0073] 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 usually actively heat or cool 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 up to 40°C at most. Therefore, the first temperature is set to 20°C and the second temperature is set to 40°C;

[0074] 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;

[0075] Obtain the median of each temperature sub-interval, marked as the test temperature, number the test temperatures in ascending order, 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;

[0076] 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 ability of the energy storage battery box when the ambient temperature changes in equal gradients. There is no fixed value. Ten 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] in sequence. Take their medians to obtain the test temperatures T1 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;

[0077] Set a test group with the first test quantity, represented by the symbol P n where P n corresponds to the test temperature T n ;

[0078] Conduct heat dissipation tests on the energy storage battery box through the test group, obtain the surface thermal imaging diagram of the first box by a thermal imager, marked as the first thermal imaging diagram, and obtain the surface thermal imaging diagram of the second box, marked as the second thermal imaging diagram;

[0079] The surface thermal imaging diagram includes thermal imaging images of six faces, namely the left side view, the front side view, the right side view, the rear side view, the upper side view, and the lower side view;

[0080] In practical applications, 10 test groups are set up, which are P1 to P 10 in sequence, and the corresponding test temperatures are T1 to T 10 ; The surface thermal imaging map can reflect the temperature distribution on the surface of the energy storage battery box, thus providing reference data for the uniformity of heat dissipation of the energy storage battery box.

[0081] 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;

[0082] The surface feature extraction unit is used to extract the heat dissipation surface features of the surface thermal imaging map;

[0083] The surface feature extraction unit is configured with a surface feature extraction strategy, and the surface feature extraction strategy includes:

[0084] Convert the surface thermal imaging map into a grayscale image, named the surface grayscale map;

[0085] Obtain the grayscale value of the pixel points in the surface grayscale map, named the surface grayscale value;

[0086] 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;

[0087] Please refer to Figure 3 as shown, with i as the X-axis and H ｉ as the Y-axis, establish a plane rectangular coordinate system, named the uniformity feature map, and 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;

[0088] In practical applications, in the 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 part of the coordinate points are shown in

[0089] Please refer to Figure 4As shown, 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 characteristic diagram. Enter the surface gray value and the corresponding heat quantity into the heat dissipation characteristic diagram, and connect adjacent coordinate points in the heat dissipation characteristic diagram with a smooth curve. Name the obtained curve the heat dissipation characteristic curve;

[0090] Obtain the minimum value on the horizontal axis in the heat dissipation characteristic curve, marked as the minimum gray value. Obtain the value on the horizontal axis corresponding to the maximum value on the vertical axis in the heat dissipation characteristic curve, marked as the gray value aggregation value;

[0091] Obtain the temperature corresponding to the minimum gray value, marked as the maximum temperature value. Obtain the temperature corresponding to the gray value aggregation value, marked as the temperature aggregation value;

[0092] The heat dissipation uniformity, the maximum temperature value, and the temperature aggregation value are collectively called the heat dissipation surface characteristics;

[0093] 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 constructed heat dissipation characteristic diagram is as Figure 4 shown, where the minimum gray value and the gray value aggregation value are both marked in Figure 4 and 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. 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;

[0094] 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;

[0095] The index calculation unit is configured with an index calculation strategy, and the index calculation strategy includes:

[0096] 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;

[0097] Obtain the mass and specific heat capacity of the energy storage battery box, represented by the symbols M and C respectively;

[0098] 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 heat dissipation of the hot spot. If ΔT is (TA2 - TA1), then mark the calculated Q as the heat dissipation of the aggregation;

[0099] In practical applications, the mass M of the energy storage battery box is obtained as 150 kg = 150000 g, and the specific heat capacity C is 1.0 J / (g·°C). Taking MT2 and MT1 as an example, MT2 in this embodiment is 51°C and MT1 is 38°C. Substituting into the calculation, the heat dissipation of the hot spot is obtained as 195000 J. For the convenience of subsequent calculations, it is converted to kilojoules, that is, 195 kJ. The calculation process of the heat dissipation of the aggregation is the same as that of the heat dissipation of the hot spot, and will not be specifically described in this embodiment;

[0100] Calculate the difference between U1 and U2, and mark it as the uniform stability. Mark the uniform stability corresponding to T n as US n ; mark the heat dissipation of the hot spot corresponding to T n as QA n ; mark the heat dissipation of the aggregation corresponding to T n as QB n ;

[0101] 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 graph, the hot spot heat dissipation trend graph, and the aggregation heat dissipation trend graph. Enter US n into the uniform stability trend graph according to the T n corresponding to n, enter QA n into the hot spot heat dissipation trend graph according to the T n corresponding to n, and enter QB n into the aggregation heat dissipation trend graph according to the T n corresponding to n;

[0102] Perform linear regression on the uniform stability trend graph, the hot spot heat dissipation trend graph, and the aggregation heat dissipation trend graph respectively, obtain the slope of the regression function, and name them the uniform stability index, the hot spot heat dissipation index, and the aggregation heat dissipation index respectively, which are represented by the symbols RU, RQA, and RQB respectively;

[0103] Calculate the heat dissipation index of the energy storage battery box by the formula , where G is the heat dissipation index;

[0104] 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 of 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. Through 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, with a large gap 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;

[0105] The performance evaluation unit is used to evaluate the heat dissipation performance of the energy storage battery box;

[0106] The performance evaluation unit is configured with a performance evaluation strategy, and the performance evaluation strategy includes:

[0107] Obtain the uniform stability threshold, hot spot heat dissipation threshold, aggregated heat dissipation threshold, and heat dissipation threshold;

[0108] 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 heat dissipation qualified signal, otherwise output a heat dissipation unqualified signal;

[0109] If a heat dissipation unqualified signal is output, mark that the heat dissipation capacity of the energy storage battery box is unqualified;

[0110] 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 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.

[0111] Example 2, please refer to Figure 6As shown in the figure, the present application provides a method for testing the heat dissipation of an energy storage battery box, including the following steps:

[0112] Step S1, set up a heat dissipation test environment, place the energy storage battery box and the thermal imager; Step S1 includes the following sub-steps:

[0113] Step S101, set up a test room, the test room is an airtight room with air conditioning, used to simulate different environmental temperatures;

[0114] Step S102, set up a first box and a second box, 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 the power connection of the heat dissipation device disconnected;

[0115] Step S103, place the first box and the second box in the test room and fix them with a fixing device;

[0116] Step S104, thermal imagers are arranged in different directions corresponding to the six faces of the energy storage battery box;

[0117] Step S2, conduct a heat dissipation test on the energy storage battery box, and detect the surface thermal imaging diagram of the energy storage battery box through the thermal imager; Step S2 includes the following sub-steps:

[0118] Step S202, set a first temperature and a second temperature, the first temperature is less than the second temperature;

[0119] Step S202, 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;

[0120] 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 by 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;

[0121] Step S204, set up test groups with the first test quantity, represented by the symbol P n It is represented that the test temperature corresponding to P n is T n ;

[0122] Step S205, conduct a heat dissipation test on the energy storage battery box through the test groups, obtain the surface thermal imaging diagram of the first box by the thermal imager, mark it as the first thermal imaging diagram, and obtain the surface thermal imaging diagram of the second box, mark it as the second thermal imaging diagram;

[0123] Step S206, the surface thermal imaging map includes thermal imaging images of six faces, namely the left-side view, the front-side view, the right-side view, the rear-side view, the upper-side view, and the lower-side view;

[0124] Step S3, analyze the heat dissipation of the energy storage battery box based on the surface thermal imaging map; Step S3 includes the following sub-steps:

[0125] Step S301, extract the heat dissipation surface features of the surface thermal imaging map;

[0126] Step S301 includes the following sub-steps:

[0127] Step S3011, convert the surface thermal imaging map into a grayscale image, named the surface grayscale map;

[0128] Step S3012, obtain the grayscale values of the pixel points in the surface grayscale map, named the surface grayscale values;

[0129] Step S3013, 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;

[0130] Step S3014, take i as the X-axis and H ｉ as the Y-axis to 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;

[0131] Step S3015, count the number of different surface grayscale values, named the heat quantity, take the surface grayscale value as the horizontal axis and the heat quantity as the vertical axis to establish a plane rectangular coordinate system, named the heat dissipation feature map, input 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;

[0132] Step S3016, obtain the minimum value on the horizontal axis of 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 of the heat dissipation feature curve, marked as the grayscale aggregation value;

[0133] Step S3017, 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;

[0134] Step S3018, the heat dissipation uniformity, the maximum temperature value, and the temperature aggregation value are collectively called the heat dissipation surface features;

[0135] 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;

[0136] Step S302 includes the following sub-steps:

[0137] Step S3021: Mark the heat dissipation uniformity, maximum temperature value, and temperature aggregation value of the first thermal imaging map as U1, MT1, and TA1 in sequence; mark the heat dissipation uniformity, maximum temperature value, and temperature aggregation value of the second thermal imaging map as U2, MT2, and TA2 in sequence;

[0138] Step S3022: Obtain the mass and specific heat capacity of the energy storage battery box, represented by the symbols M and C respectively;

[0139] Step S3023: Calculate the heat Q through the formula Q = M × C × ΔT, where Q is the heat, ΔT is (MT2 - MT1) or (TA2 - TA1). If ΔT is (MT2 - MT1), mark the calculated Q as the heat dissipation of the hot spot; if ΔT is (TA2 - TA1), mark the calculated Q as the heat dissipation of the aggregation;

[0140] Step S3024: Calculate the difference between U1 and U2, marked as the uniform stability, mark the corresponding uniform stability as US n , mark the corresponding heat dissipation of the hot spot as QA n , n , mark the corresponding heat dissipation of the aggregation as QB n , n , n ;

[0141] Step S3025: Take T n as the X-axis, and take US n , QA n , and QB n as the Y-axis 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. Enter US n into the uniform stability trend graph according to the T n corresponding to n, enter QA n into the hot spot heat dissipation trend graph according to the T n corresponding to n, and enter QB n into the aggregation heat dissipation trend graph according to the T n corresponding to n;

[0142] 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, which are respectively named the uniform stability index, the hot spot heat dissipation index, and the aggregation heat dissipation index, and are represented by the symbols RU, RQA, and RQB respectively.

[0143] Step S3027: Calculate the heat dissipation index of the energy storage battery box through the formula where G is the heat dissipation index.

[0144] Step S303: Evaluate the heat dissipation performance of the energy storage battery box.

[0145] Step S303 includes the following sub-steps:

[0146] Step S3031: Obtain the uniform stability threshold, the hot spot heat dissipation threshold, the aggregation heat dissipation threshold, and the heat dissipation threshold.

[0147] Step S3032: Determine 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 heat dissipation qualified signal; otherwise, output a heat dissipation unqualified signal.

[0148] Step S3033: If a heat dissipation unqualified signal is output, mark that the heat dissipation capacity of the energy storage battery box is unqualified.

[0149] Example 3, please refer to Figure 7 as shown in Figure 7 which exemplifies a structural schematic diagram of an electronic device. 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 communicate with each other through the communication bus. The memory stores computer-readable instructions, and the processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in a method for testing the heat dissipation of 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; performing a heat dissipation test on the energy storage battery box, and detecting the surface thermal image 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 image.

[0150] 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 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 for causing 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 aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, optical disks, and other various media that can store program codes.

[0151] 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, it runs the steps in the above-mentioned heat dissipation test method for an energy storage battery box 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.

[0152] 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 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 disks, etc., and includes several instructions for causing 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.

[0153] In the embodiments provided by this 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, and there can be other division methods in actual implementation. Also, for 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 in an electrical, mechanical, or other form.

[0154] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than 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 described 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 various embodiments of the present application.

Claims

1. A method for testing the heat dissipation of an energy storage battery box, characterized in that, It includes the following steps: Set up a heat dissipation test environment, place the energy storage battery box and the thermal imager; 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; Analyze the heat dissipation performance of the energy storage battery box based on the surface thermal image; Extract the heat dissipation surface features of the surface thermal image; 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; Obtain the grayscale values of the pixel points in the surface grayscale image, named surface grayscale values; 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; Taking i as the X-axis and H ｉ as the Y-axis, a plane rectangular coordinate system is established and named as the uniform feature map. H i is input into the uniform feature map according to the corresponding i, and linear regression is performed on the uniform feature map to obtain the slope of the regression function, which is named the heat dissipation uniformity. Count the number of different surface grayscale values, named 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 heat dissipation feature map. Enter the surface grayscale value and the corresponding heat quantity into the heat dissipation feature map, and connect the adjacent coordinate points in the heat dissipation feature map through a smooth curve. 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. 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. Obtain the temperature corresponding to the grayscale aggregation value, marked as the temperature aggregation value; The heat dissipation uniformity, maximum temperature value, and temperature aggregation value are collectively referred to as heat dissipation surface features; 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 includes the following sub-steps: Mark the heat dissipation uniformity, maximum temperature value, and temperature aggregation value of the first thermal image as U1, MT1, and TA1 in sequence; Mark the heat dissipation uniformity, maximum temperature value, and temperature aggregation value of the second thermal image 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 through the formula Q = M×C×ΔT, where Q is the heat, ΔT is (MT2 - MT1) or (TA2 - TA1). If ΔT is (MT2 - MT1), mark the calculated Q as the hot spot heat dissipation quantity. If ΔT is (TA2 - TA1), mark the calculated Q as the aggregation heat dissipation quantity; Calculate the difference between U1 and U2, marked as uniform stability, and for T n The corresponding uniform stability is marked as US n , and for T n The corresponding heat dissipation of the hot spot is marked as QA n , and for T n The corresponding aggregated heat dissipation is marked as QB n ; 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 stable trend chart, the hot spot heat dissipation trend chart and the aggregation heat dissipation trend chart. Input US n into the uniform stable trend chart according to the T n corresponding to n, input QA n into the hot spot heat dissipation trend chart according to the T n corresponding to n, and input QB n into the aggregation heat dissipation trend chart according to the T n corresponding to n; Conduct linear regression on the uniform stability trend graph, hot spot heat dissipation trend graph, and aggregation heat dissipation trend graph respectively, and obtain the slope of the regression function, named the uniform stability index, hot spot heat dissipation index, and aggregation heat dissipation index respectively, represented by the symbols RU, RQA, and RQB; Calculate the heat dissipation index of the energy storage battery box through the formula where G is the heat dissipation index; Evaluating the heat dissipation performance of the energy storage battery box includes the following sub-steps: Obtain the uniform stability threshold, hot spot heat dissipation threshold, aggregation heat dissipation threshold, and heat dissipation performance threshold; Judge whether the uniform stability index, hot spot heat dissipation index, aggregation heat dissipation index, and heat dissipation performance index are respectively within the uniform stability threshold, hot spot heat dissipation threshold, aggregation heat dissipation threshold, and heat dissipation performance 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 ability of the energy storage battery box is unqualified.

2. The method for testing the heat dissipation of an energy storage battery box according to claim 1, characterized in that Set up a heat dissipation test environment. Installing temperature sensors inside the energy storage battery box includes the following sub-steps: Set up a test room, which is an enclosed room with air conditioning and is used to simulate different ambient 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 surfaces of the energy storage battery box body.

3. A method for testing the heat dissipation of an energy storage battery box according to claim 2, characterized in that, Conduct a heat dissipation test on the energy storage battery box body. Detecting the internal temperature and the surface thermal imaging map of the energy storage battery box body through the temperature sensor and the thermal imager includes 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 the number of 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; Set a test group with a first test quantity, through the symbol P n is represented by, P n The corresponding test temperature is T n ; Conduct a heat dissipation test on the energy storage battery box body through a test group. 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 surfaces, 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.

4. The method for testing the heat dissipation of an energy storage battery box according to claim 3, wherein Analyze the heat dissipation performance of the energy storage battery box body based on the surface thermal imaging map, including the following sub-steps: Analyze the heat dissipation performance index of the energy storage battery box body based on the heat dissipation surface characteristics of the first thermal imaging map and the second thermal imaging map; Evaluate the heat dissipation performance of the energy storage battery box body.

5. A heat dissipation test device for an energy storage battery box, which is used to implement the heat dissipation test method for an energy storage battery box described in any one of claims 1-4, and is characterized in that, It includes 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 body and the thermal imager; The heat dissipation test module is used to conduct 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 the thermal imager; The heat dissipation performance evaluation module is used to analyze the heat dissipation performance of the energy storage battery box body based on the surface thermal imaging map.

6. An electronic device, characterized in that, It includes a processor and a memory. 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 1-4 are run.

7. A storage medium, on which a computer program is stored, characterized in that, When the computer program is executed by the processor, the steps in the method according to any one of claims 1-4 are run.

Images