Multi-parameter joint test method for heat dissipation performance of energy storage battery box
By using a multi-parameter joint testing method, the abnormal time points and quantities of energy storage battery boxes under natural and external heat dissipation conditions are analyzed, which solves the problem of incomplete heat dissipation performance testing in existing technologies and achieves a more accurate heat dissipation performance evaluation.
Patent Information
- Application Number
- CN202511431747.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-09
- Publication Date
- 2025-11-07
- Estimated Expiration
- 2045-10-09
AI Technical Summary
In existing technologies, the heat dissipation performance test of energy storage battery enclosures is conducted only based on temperature, which fails to fully reflect the heat dissipation performance and ignores the impact of multiple factors such as heat dissipation time and the number of abnormal battery cells.
A multi-parameter joint testing method for the heat dissipation performance of energy storage battery enclosures is adopted. By obtaining the standard operating temperature range and discharge rate, abnormal time nodes and their quantities under natural and external heat dissipation conditions are analyzed, a set of abnormal time nodes is constructed, the number of effective and ineffective heat dissipation nodes is calculated, and the heat dissipation performance is finally evaluated.
It enables efficient testing of the heat dissipation performance of energy storage battery enclosures from multiple dimensions, accurately assesses heat dissipation effects, and improves the comprehensiveness and accuracy of testing.
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Figure CN120908247A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of heat dissipation performance test, and particularly relates to a multi-parameter joint test method for heat dissipation performance of an energy storage battery box. BACKGROUND
[0002] With the transformation of global energy structure to clean and low-carbon, the electrochemical energy storage system as a key technology for balancing the power grid, smoothing the renewable energy fluctuation and realizing the peak-valley regulation has developed rapidly. In the operation process of the energy storage battery system, the charging and discharging of the battery is essentially a complex electrochemical process, which inevitably generates heat. If the heat cannot be diffused in time and effectively, the internal temperature of the battery pack will rise sharply. The heat dissipation performance of the battery box, as a key structure for accommodating the battery module and providing a heat dissipation path, directly determines the efficiency of the whole thermal management system. In the prior art, the test of the heat dissipation performance of the energy storage battery box is mostly carried out through a single temperature. However, in addition to the temperature, the effective and ineffective heat dissipation time in the heat dissipation process can also reflect the heat dissipation performance of the energy storage battery box from the side. The prior art fails to reflect the heat dissipation performance of the energy storage battery box through multiple aspects such as temperature, heat dissipation time and the number of abnormal energy storage battery monomers. Therefore, the application provides a multi-parameter joint test method for heat dissipation performance of an energy storage battery box. SUMMARY
[0003] In view of the deficiencies in the prior art, the application aims to provide a multi-parameter joint test method for heat dissipation performance of an energy storage battery box.
[0004] The technical problem to be solved by the application is: How to efficiently test the heat dissipation performance of the to-be-tested box from different dimensions.
[0005] In order to achieve the above-mentioned purpose, the application adopts the following technical solution: The multi-parameter joint test method for heat dissipation performance of an energy storage battery box comprises the following steps: Step S1, obtaining a standard working temperature range and a standard discharge rate of energy storage battery monomers in a to-be-tested box; Step S2, analyzing different energy storage battery monomers in the to-be-tested box under a natural heat dissipation state to obtain an abnormal time node of an abnormal monomer under the natural heat dissipation state; Step S3, simultaneously analyzing the energy storage battery monomers in the to-be-tested box under an external force heat dissipation state and a natural heat dissipation state to obtain the number of abnormal monomers under different heat dissipation states; Step S4, according to the abnormal time node, the natural heat dissipation state and the external force heat dissipation state are constructed, and the different time elements in the abnormal time node set are analyzed, and the effective heat dissipation node quantity and the invalid heat dissipation node quantity are obtained by analysis; Step S5, according to the effective heat dissipation node quantity, the invalid heat dissipation node quantity under the external force heat dissipation state or the single abnormal quantity under different heat dissipation states, the heat dissipation performance of the to-be-detected box body is finally analyzed.
[0006] Further, the analysis process in step S2 includes the following sub-steps: Step S21, install the energy storage battery into the to-be-detected box body, close the heat dissipation device, discharge the energy storage battery at the standard discharge rate, and record the heat dissipation state in the to-be-detected box body under the corresponding state as the natural heat dissipation state; Step S22, collect the real-time temperature of different energy storage battery monomers at different time nodes under the natural heat dissipation state, and for the same time node, the real-time temperature of different energy storage battery monomers is added and averaged to obtain the average real-time temperature of the energy storage battery monomer; Similarly, the average real-time temperature of the energy storage battery at different time nodes is calculated; Step S23, for the same time node, the real-time temperature standard deviation of the energy storage battery monomer is calculated by the standard deviation formula; Similarly, the real-time temperature standard deviation of the energy storage battery monomer at different time nodes is calculated by the standard deviation formula.
[0007] Further, the analysis process in step S2 includes the following sub-steps: Step S24, for the same time node, the value obtained by adding the average real-time temperature and the real-time temperature standard deviation is taken as the right endpoint, and the value obtained by subtracting the real-time temperature standard deviation from the average real-time temperature is taken as the left endpoint, and the temperature uniform interval of the energy storage battery monomer at the corresponding time node is constructed according to the left endpoint and the right endpoint; Similarly, the temperature uniform interval corresponding to the energy storage battery monomer at different time nodes is constructed; Step S25, for any energy storage battery monomer, the real-time temperature of the energy storage battery monomer at different time nodes is compared with the corresponding temperature uniform interval; If the real-time temperature of the energy storage battery monomer at all time nodes is within the temperature uniform interval, step S26 is entered; If the real-time temperature of the energy storage battery monomer at any time node is not within the temperature uniform interval, the corresponding energy storage battery monomer is recorded as a single abnormal battery, and the corresponding time node is recorded as an abnormal time node corresponding to the single abnormal battery under the natural heat dissipation state; Step S26, compare the real-time temperature of the energy storage battery cell at different time nodes with the standard working temperature interval; If the real-time temperature of the energy storage battery cell at all time nodes belongs to the standard working temperature interval, no operation is performed; If the real-time temperature of the energy storage battery cell at any time node does not belong to the standard working temperature interval, the corresponding energy storage battery cell is recorded as a cell abnormal battery, and the corresponding time node is recorded as an abnormal time node of the cell abnormal battery in the natural heat dissipation state.
[0008] Further, the analysis process in step S3 includes the following sub-steps: Step S31, install the energy storage battery into the detection box, start the heat dissipation device, and discharge the energy storage battery cell at a standard discharge rate. The heat dissipation state of the detection box in the corresponding state is recorded as an external force heat dissipation state; Step S32, repeat steps S22-S26 and analyze the energy storage battery cell in the detection box in the external force heat dissipation state. The analysis process is specifically: If there is no cell abnormal battery in the detection box in the external force heat dissipation state, no operation is performed; If there is any cell abnormal battery in the detection box in the external force heat dissipation state, the abnormal time node corresponding to the cell abnormal battery in the external force heat dissipation state is obtained; Step S33, count the cell abnormal batteries in the natural heat dissipation state and the external force heat dissipation state at different abnormal time nodes.
[0009] Further, the counting process in step S33 is specifically: For different abnormal time nodes, count the number of cell abnormal batteries in the natural heat dissipation state and record it as the number of cell abnormal batteries in the natural heat dissipation state; Similarly, count the number of cell abnormal batteries in the external force heat dissipation state and record it as the number of cell abnormal batteries in the external force heat dissipation state.
[0010] Further, the analysis process in step S4 includes the following sub-steps: Step S41, obtain the abnormal time node corresponding to the cell abnormal battery in the natural heat dissipation state and the external force heat dissipation state; Step S42, compare the abnormal time node corresponding to the cell abnormal battery in the natural heat dissipation state with the abnormal time node corresponding to the cell abnormal battery in the external force heat dissipation state; If the abnormal time node corresponding to the cell abnormal battery in the natural heat dissipation state is the same as the abnormal time node corresponding to the cell abnormal battery in the external force heat dissipation state, no operation is performed; If the abnormal time node corresponding to the single abnormal battery in the natural heat dissipation state is different from the abnormal time node corresponding to the single abnormal battery in the external force heat dissipation state, step S43 is entered.
[0011] Further, the analysis process in step S4 further includes the following sub-steps: Step S43, arranging the abnormal time nodes corresponding to the single abnormal battery in the natural heat dissipation state in ascending order of time, and obtaining an abnormal time node set in the natural heat dissipation state; Similarly, arranging the abnormal time nodes corresponding to the single abnormal battery in the external force heat dissipation state in ascending order of time, and obtaining an abnormal time node set in the external force heat dissipation state; Step S44, recording different abnormal time nodes in the abnormal time node set as different time elements; Sequentially sorting the time elements in the abnormal time node set in the natural heat dissipation state and the time elements in the abnormal time node set in the external force heat dissipation state in ascending order, and obtaining abnormal time node data; Step S45, analyzing the different time elements in the abnormal time node data.
[0012] Further, the analysis process in step S45 includes the following sub-steps: Step S451, for the first time element in the abnormal time node set, if the first time element in the abnormal time node set in the natural heat dissipation state is located on the left side of the first time element in the abnormal time node set in the external force heat dissipation state, recording the corresponding time element in the abnormal time node set in the external force heat dissipation state as an effective heat dissipation node; If the first time element in the abnormal time node set in the natural heat dissipation state is located on the right side of the first time element in the abnormal time node set in the external force heat dissipation state, recording the corresponding time element in the abnormal time node set in the external force heat dissipation state as an invalid heat dissipation node; Step S452, comparing the different time elements in the abnormal time node set in the natural heat dissipation state with the corresponding time elements in the abnormal time node set in the external force heat dissipation state, and obtaining different effective heat dissipation nodes and invalid heat dissipation nodes in the external force heat dissipation state; Step S453, counting the number of effective heat dissipation nodes in the external force heat dissipation state and recording it as the number of effective heat dissipation nodes, and counting the number of invalid heat dissipation nodes in the external force heat dissipation state and recording it as the number of invalid heat dissipation nodes.
[0013] Further, the analysis process in step S5 includes the following sub-steps: Step S51, the number of single abnormalities in the natural heat dissipation state and the number of single abnormalities in the external force heat dissipation state are obtained, and the number of single abnormalities in the external force heat dissipation state is compared with the number of single abnormalities in the natural heat dissipation state; If the number of single abnormalities in the external force heat dissipation state is greater than or equal to the number of single abnormalities in the natural heat dissipation state, the heat dissipation performance of the to-be-detected box is recorded as heat dissipation unqualified; If the number of single abnormalities in the external force heat dissipation state is less than the number of single abnormalities in the natural heat dissipation state, step S52 is entered; Step S52, the number of single abnormalities in the natural heat dissipation state is subtracted from the number of single abnormalities in the external force heat dissipation state, and then divided by the number of single abnormalities in the natural heat dissipation state to obtain the heat dissipation improvement rate of the energy storage battery monomer.
[0014] Further, the analysis process in the step S5 further includes the following sub-steps: Step S53, the heat dissipation improvement rate of the energy storage battery monomer is compared with the heat dissipation improvement rate threshold; If the heat dissipation improvement rate of the energy storage battery monomer is greater than or equal to the heat dissipation improvement rate threshold, step S54 is entered; If the heat dissipation improvement rate of the energy storage battery monomer is less than the heat dissipation improvement rate threshold, the heat dissipation performance of the to-be-detected box is recorded as heat dissipation unqualified; Step S54, the number of effective heat dissipation nodes in the external force heat dissipation state is compared with the number of invalid heat dissipation nodes; If the number of effective heat dissipation nodes in the external force heat dissipation state is greater than the number of invalid heat dissipation nodes, the heat dissipation performance of the to-be-detected box is recorded as heat dissipation qualified; If the number of effective heat dissipation nodes in the external force heat dissipation state is less than or equal to the number of invalid heat dissipation nodes, the heat dissipation performance of the to-be-detected box is recorded as heat dissipation unqualified.
[0015] Compared with the prior art, the beneficial effects of the present application are: 1、The present application firstly obtains the standard working temperature interval and the standard discharge rate of the energy storage battery monomer in the to-be-detected box, then analyzes different energy storage battery monomers in the to-be-detected box in the natural heat dissipation state, obtains the abnormal time node corresponding to the single abnormal battery in the natural heat dissipation state, and then analyzes the energy storage battery monomers in the to-be-detected box in the external force heat dissipation state and the natural heat dissipation state, obtains the number of single abnormalities in different heat dissipation states, and the present application realizes the analysis of the energy storage battery monomers in different heat dissipation states, and obtains the number of single abnormalities in different heat dissipation states; 2、The application also constructs an abnormal time node set in a natural heat dissipation state and an external force heat dissipation state according to the abnormal time node, and analyzes different time elements in the abnormal time node set, and obtains the number of effective heat dissipation nodes and the number of invalid heat dissipation nodes, and the application realizes effective analysis of the abnormal time node, and obtains the number of effective heat dissipation nodes and the number of invalid heat dissipation nodes; 3、The application finally analyzes the heat dissipation performance of the to-be-tested box according to the number of effective heat dissipation nodes, the number of invalid heat dissipation nodes in the external force heat dissipation state or the number of single abnormalities in different heat dissipation states, and realizes effective testing of the heat dissipation performance of the to-be-tested box from different dimensions. BRIEF DESCRIPTION OF DRAWINGS
[0016] In order to facilitate those skilled in the art to understand, the application will be further described below with reference to the drawings.
[0017] Figure 1 The method flowchart of the application; Figure 2 The schematic diagram of the energy storage battery in the application; Figure 3 The schematic diagram of the abnormal time node set in the application; Figure 4 The structural schematic diagram of the electronic equipment in the application. DETAILED DESCRIPTION
[0018] The technical solutions of the application will be described below in conjunction with the embodiments, obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor belong to the protection scope of the application.
[0019] Embodiment 1, please refer to Figures 1-3 The technical solution provided by the application is: a multi-parameter joint testing method for heat dissipation performance of an energy storage battery box, which is suitable for testing the heat dissipation performance of a to-be-tested box, wherein the energy storage battery is installed inside the to-be-tested box, the heat dissipation device is installed on the surface of the to-be-tested box, the energy storage battery is composed of different energy storage battery monomers, and the method comprises the following steps: Step S1, obtaining the standard working temperature interval and the standard discharge rate of the energy storage battery monomer inside the to-be-tested box; In this embodiment, the energy storage battery monomers in the energy storage battery all come from the same batch, and the parameter specifications of different energy storage battery monomers are the same.
[0020] Step S2, analyze different energy storage battery monomers inside the to-be-detected box under the natural heat dissipation state, and obtain the abnormal time node corresponding to the monomer abnormal battery under the natural heat dissipation state; In the embodiment, the analysis process in step S2 includes the following sub-steps: Step S21, install the energy storage battery into the to-be-detected box according to the actual installation position, close the heat dissipation device, and discharge the energy storage battery monomer at a standard discharge rate. The heat dissipation state of the to-be-detected box under the corresponding state is recorded as the natural heat dissipation state; Step S22, collect the monomer real-time temperature of different energy storage battery monomers at different time nodes under the natural heat dissipation state. For the same time node, add and average the monomer real-time temperatures of different energy storage battery monomers to obtain the average real-time temperature of the energy storage battery monomer; Similarly, the average real-time temperature of the energy storage battery at different time nodes is calculated; Step S23, for the same time node, the real-time temperature standard deviation of the energy storage battery monomer is calculated by the standard deviation formula; Similarly, the real-time temperature standard deviation of the energy storage battery monomer at different time nodes is calculated by the standard deviation formula; Step S24, for the same time node, the value obtained by adding the average real-time temperature and the real-time temperature standard deviation is taken as the right endpoint, and the value obtained by subtracting the real-time temperature standard deviation from the average real-time temperature is taken as the left endpoint. The temperature uniform interval of the energy storage battery monomer at the corresponding time node is constructed according to the left endpoint and the right endpoint; Similarly, the temperature uniform interval corresponding to the energy storage battery monomer at different time nodes is constructed; It needs to be explained that since the temperature of the energy storage battery monomer at different time nodes is different, in the embodiment, multiple temperature uniform intervals are constructed for the energy storage battery monomers at different time nodes; Step S25, for any energy storage battery monomer, compare the monomer real-time temperature of the energy storage battery monomer at different time nodes with the corresponding temperature uniform interval; If the monomer real-time temperature of the energy storage battery monomer at all time nodes is within the temperature uniform interval, step S26 is entered; If the monomer real-time temperature of the energy storage battery monomer at any time node is not within the temperature uniform interval, the corresponding energy storage battery monomer is recorded as a monomer abnormal battery, and the corresponding time node is recorded as the abnormal time node corresponding to the monomer abnormal battery under the natural heat dissipation state; Step S26, compare the monomer real-time temperature of the energy storage battery monomer at different time nodes with the standard working temperature interval; If the real-time temperature of the energy storage battery cell at all time nodes belongs to the standard working temperature interval, no operation is performed; If the real-time temperature of the energy storage battery cell at any time node does not belong to the standard working temperature interval, the corresponding energy storage battery cell is recorded as a cell abnormal battery, and the corresponding time node is recorded as an abnormal time node of the cell abnormal battery in the natural heat dissipation state.
[0021] Step S3, the energy storage battery cells inside the to-be-detected box are analyzed simultaneously in the external force heat dissipation state and the natural heat dissipation state, and the number of cell abnormalities in different heat dissipation states is obtained; In this embodiment, the analysis process in step S3 includes the following sub-steps: Step S31, the energy storage battery is installed into the to-be-detected box according to the actual installation position, the heat dissipation device is started, the energy storage battery cell is discharged at a standard discharge rate, and the heat dissipation state of the to-be-detected box in the corresponding state is recorded as the external force heat dissipation state; Step S32, steps S22-S26 are repeated and the energy storage battery cell inside the to-be-detected box in the external force heat dissipation state is analyzed, and the analysis process is specifically: If there is no cell abnormal battery inside the to-be-detected box in the external force heat dissipation state, no operation is performed; If there is any cell abnormal battery inside the to-be-detected box in the external force heat dissipation state, the abnormal time node corresponding to the cell abnormal battery in the external force heat dissipation state is obtained; It should be explained that the process of obtaining the abnormal time node corresponding to the cell abnormal battery in the external force heat dissipation state is the same as that of obtaining the abnormal time node corresponding to the cell abnormal battery in the natural heat dissipation state, which will not be repeated here; Step S33, the cell abnormal batteries in the natural heat dissipation state and the external force heat dissipation state at different abnormal time nodes are counted, and the counting process is specifically: For different abnormal time nodes, the number of cell abnormal batteries in the natural heat dissipation state is counted and recorded as the number of cell abnormalities in the natural heat dissipation state; Similarly, the number of cell abnormal batteries in the external force heat dissipation state is counted and recorded as the number of cell abnormalities in the external force heat dissipation state.
[0022] Step S4, the abnormal time node set in the natural heat dissipation state and the external force heat dissipation state is constructed according to the abnormal time node, and different time elements in the abnormal time node set are analyzed, and the number of effective heat dissipation nodes and the number of invalid heat dissipation nodes are obtained by analysis; In this embodiment, the analysis process in step S4 includes the following sub-steps: Step S41: Obtain the abnormal time nodes corresponding to the abnormal cells under natural heat dissipation and external heat dissipation conditions; Step S42: Compare the abnormal time points corresponding to the abnormal cells under natural heat dissipation conditions with the abnormal time points corresponding to the abnormal cells under external heat dissipation conditions. If the abnormal time point corresponding to the abnormal cell under natural heat dissipation is the same as the abnormal time point corresponding to the abnormal cell under external heat dissipation, then no operation will be performed. If the abnormal time point corresponding to the abnormal cell under natural heat dissipation is different from the abnormal time point corresponding to the abnormal cell under external heat dissipation, then proceed to step S43. Step S43, please refer to Figure 3 As shown, the abnormal time nodes corresponding to the abnormal cells under natural heat dissipation are arranged in ascending order of time to obtain the set of abnormal time nodes under natural heat dissipation. Similarly, the abnormal time nodes corresponding to the abnormal cells under the external heat dissipation state are arranged in ascending order of time to obtain the set of abnormal time nodes under the external heat dissipation state. Step S44: Record different abnormal time nodes in the abnormal time node set as different time elements; The time elements in the abnormal time node set under natural heat dissipation and the time elements in the abnormal time node set under external heat dissipation are sorted in ascending order to obtain the abnormal time node data. Step S45: Analyze different time elements in the abnormal time node data; In this embodiment, the analysis process in step S45 includes the following sub-steps: Step S451: For the first time element in the abnormal time node set, if the first time element in the abnormal time node set under natural heat dissipation is located to the left of the first time element in the abnormal time node set under external heat dissipation, then the corresponding time element in the abnormal time node set under external heat dissipation is recorded as a valid heat dissipation node. If the first time element in the set of abnormal time nodes under natural heat dissipation is located to the right of the first time element in the set of abnormal time nodes under external heat dissipation, then the corresponding time element in the set of abnormal time nodes under external heat dissipation is recorded as an invalid heat dissipation node. Step S452: Compare the different time elements in the abnormal time node set under natural heat dissipation state with the corresponding time elements in the abnormal time node set under external heat dissipation state, and obtain the different effective heat dissipation nodes and ineffective heat dissipation nodes under external heat dissipation state. Step S453, the number of effective heat dissipation nodes in the external force heat dissipation state is counted and recorded as the number of effective heat dissipation nodes, and the number of invalid heat dissipation nodes in the external force heat dissipation state is counted and recorded as the number of invalid heat dissipation nodes; For example, refer to Figure 3 As shown, the first time element in the abnormal time node set in the natural heat dissipation state is A, the second time element is B, and the third time element is C. The first time element in the abnormal time node set in the external force heat dissipation state is X, the second time element is Y, and the third time element is Z. Wherein, A, B, C, X, Y and Z are arranged in ascending order of time, A is located on the left side of X, B is located on the left side of Y, and C is located on the right side of Z. Then, X and Y are recorded as effective heat dissipation nodes, and Z is recorded as an invalid heat dissipation node.
[0023] Step S5, the heat dissipation performance of the to-be-detected box is finally analyzed according to the number of effective heat dissipation nodes in the external force heat dissipation state, the number of invalid heat dissipation nodes, or the number of single abnormalities in different heat dissipation states; In this embodiment, the analysis process in step S5 includes the following sub-steps: Step S51, the number of single abnormalities in the natural heat dissipation state and the number of single abnormalities in the external force heat dissipation state are obtained, and the number of single abnormalities in the external force heat dissipation state is compared with the number of single abnormalities in the natural heat dissipation state; If the number of single abnormalities in the external force heat dissipation state is greater than or equal to the number of single abnormalities in the natural heat dissipation state, the heat dissipation performance of the to-be-detected box is recorded as unqualified; If the number of single abnormalities in the external force heat dissipation state is less than the number of single abnormalities in the natural heat dissipation state, step S52 is entered; Step S52, the number of single abnormalities in the natural heat dissipation state is subtracted from the number of single abnormalities in the external force heat dissipation state, and then divided by the number of single abnormalities in the natural heat dissipation state to obtain the heat dissipation improvement rate of the energy storage battery monomer; Step S53, the heat dissipation improvement rate of the energy storage battery monomer is compared with the heat dissipation improvement rate threshold; If the heat dissipation improvement rate of the energy storage battery monomer is greater than or equal to the heat dissipation improvement rate threshold, step S54 is entered; If the heat dissipation improvement rate of the energy storage battery monomer is less than the heat dissipation improvement rate threshold, the heat dissipation performance of the to-be-detected box is recorded as unqualified; Step S54, the number of effective heat dissipation nodes in the external force heat dissipation state is compared with the number of invalid heat dissipation nodes; If the number of effective heat dissipation nodes in the external force heat dissipation state is greater than the number of invalid heat dissipation nodes, the heat dissipation performance of the to-be-detected box is recorded as qualified; If the number of effective heat dissipation nodes is less than or equal to the number of ineffective heat dissipation nodes under external heat dissipation conditions, the heat dissipation performance of the corresponding test chamber will be recorded as unqualified.
[0024] Example 2, as Figure 4 As shown, this embodiment provides an electronic device, which may include a processor, a communication interface, a memory, and a communication bus. The processor, communication interface, and memory communicate with each other via the communication bus. The processor can call logical instructions in the memory to execute a multi-parameter joint testing method for the heat dissipation performance of an energy storage battery enclosure. This method includes: obtaining the standard operating temperature range and standard discharge rate of individual energy storage battery cells inside the enclosure under test; analyzing different individual energy storage battery cells inside the enclosure under natural heat dissipation conditions to obtain abnormal time nodes corresponding to abnormal cells under natural heat dissipation conditions; simultaneously analyzing the individual energy storage battery cells inside the enclosure under both external heat dissipation and natural heat dissipation conditions to obtain the number of abnormal cells under different heat dissipation conditions; constructing a set of abnormal time nodes under both natural and external heat dissipation conditions based on the abnormal time nodes, and analyzing different time elements in the set of abnormal time nodes to obtain the number of effective heat dissipation nodes and the number of ineffective heat dissipation nodes; and finally analyzing the heat dissipation performance of the enclosure under test based on the number of effective heat dissipation nodes under external heat dissipation conditions, the number of ineffective heat dissipation nodes, or the number of abnormal cells under different heat dissipation conditions.
[0025] Furthermore, when the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0026] In embodiment 3, the application further provides a computer program product, which comprises a computer program stored on a computer readable storage medium, and the computer program comprises program instructions, when the program instructions are executed by a computer, the computer can execute the multi-parameter joint testing method for heat dissipation performance of the energy storage battery box provided by the above method, and the method comprises the following steps: obtaining a standard working temperature interval and a standard discharge rate of an energy storage battery monomer inside a to-be-detected box; analyzing different energy storage battery monomers inside the to-be-detected box in a natural heat dissipation state, and obtaining an abnormal time node corresponding to an abnormal battery monomer in the natural heat dissipation state; simultaneously analyzing the energy storage battery monomers inside the to-be-detected box in an external force heat dissipation state and the natural heat dissipation state, and obtaining an abnormal monomer number in different heat dissipation states; constructing an abnormal time node set in the natural heat dissipation state and the external force heat dissipation state according to the abnormal time node, and analyzing different time elements in the abnormal time node set, and obtaining an effective heat dissipation node number and an ineffective heat dissipation node number; and finally analyzing the heat dissipation performance of the to-be-detected box according to the effective heat dissipation node number, the ineffective heat dissipation node number in the external force heat dissipation state, or the abnormal monomer number in different heat dissipation states.
[0027] In embodiment 4, the application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the multi-parameter joint testing method for heat dissipation performance of the energy storage battery box provided by the above method, and the method comprises the following steps: obtaining a standard working temperature interval and a standard discharge rate of an energy storage battery monomer inside a to-be-detected box; analyzing different energy storage battery monomers inside the to-be-detected box in a natural heat dissipation state, and obtaining an abnormal time node corresponding to an abnormal battery monomer in the natural heat dissipation state; simultaneously analyzing the energy storage battery monomers inside the to-be-detected box in an external force heat dissipation state and the natural heat dissipation state, and obtaining an abnormal monomer number in different heat dissipation states; constructing an abnormal time node set in the natural heat dissipation state and the external force heat dissipation state according to the abnormal time node, and analyzing different time elements in the abnormal time node set, and obtaining an effective heat dissipation node number and an ineffective heat dissipation node number; and finally analyzing the heat dissipation performance of the to-be-detected box according to the effective heat dissipation node number, the ineffective heat dissipation node number in the external force heat dissipation state, or the abnormal monomer number in different heat dissipation states.
[0028] The device embodiments described above are only schematic, wherein the units shown as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment scheme. Those skilled in the art can understand and implement without creative labor.
[0029] Those skilled in the art can clearly understand the implementation of the embodiments by means of software and necessary general hardware platforms through the description of the above embodiments, and of course, the embodiments can also be implemented by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, and the computer software product can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.
[0030] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing examples, or make equivalent replacement for some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A multi-parameter combined testing method for heat dissipation performance of an energy storage battery box, characterized in that, The method comprises the following steps: Step S1, obtaining a standard working temperature interval and a standard discharge rate of a battery monomer inside a to-be-detected box; Step S2, analyzing different battery monomers inside the to-be-detected box in a natural heat dissipation state to obtain an abnormal time node corresponding to an abnormal battery monomer in the natural heat dissipation state; Step S3, simultaneously analyzing the battery monomers inside the to-be-detected box in an external force heat dissipation state and the natural heat dissipation state to obtain the number of abnormal monomers in different heat dissipation states; Step S4, constructing an abnormal time node set in the natural heat dissipation state and the external force heat dissipation state according to the abnormal time node, and analyzing different time elements in the abnormal time node set to obtain the number of effective heat dissipation nodes and the number of invalid heat dissipation nodes; Step S5, finally analyzing the heat dissipation performance of the to-be-detected box according to the number of effective heat dissipation nodes, the number of invalid heat dissipation nodes in the external force heat dissipation state, or the number of abnormal monomers in different heat dissipation states.
2. The multi-parameter combined test method for heat dissipation performance of an energy storage battery box according to claim 1, characterized in that, The analysis process in step S2 comprises the following sub-steps: Step S21, installing the battery into the to-be-detected box, closing the heat dissipation device, and discharging the battery monomer at a standard discharge rate, and recording the heat dissipation state of the to-be-detected box in the corresponding state as the natural heat dissipation state; Step S22, collecting the real-time temperature of different battery monomers at different time nodes in the natural heat dissipation state, and adding and averaging the real-time temperatures of different battery monomers at the same time node to obtain the average real-time temperature of the battery monomer; Similarly, the average real-time temperature of the battery at different time nodes is calculated; Step S23, for the same time node, the real-time temperature standard deviation of the battery monomer is calculated by the standard deviation formula; Similarly, the real-time temperature standard deviation of the battery monomer at different time nodes is calculated by the standard deviation formula.
3. The multi-parameter combined test method for heat dissipation performance of an energy storage battery box according to claim 2, characterized in that, The analysis process in step S2 further comprises the following sub-steps: Step S24, for the same time node, the value obtained by adding the average real-time temperature and the real-time temperature standard deviation is taken as the right endpoint, and the value obtained by subtracting the real-time temperature standard deviation from the average real-time temperature is taken as the left endpoint, and the temperature uniform interval of the battery monomer at the corresponding time node is constructed according to the left endpoint and the right endpoint; Similarly, the temperature uniform interval corresponding to the battery monomer at different time nodes is constructed; Step S25, for any battery monomer, the real-time temperature of the battery monomer at different time nodes is compared with the corresponding temperature uniform interval; If the real-time temperature of the battery monomer at all time nodes is within the temperature uniform interval, step S26 is entered; If the real-time temperature of the battery monomer at any time node is not within the temperature uniform interval, the corresponding battery monomer is recorded as an abnormal battery monomer, and the corresponding time node is recorded as an abnormal time node corresponding to the abnormal battery monomer in the natural heat dissipation state; Step S26, comparing the real-time temperature of the battery monomer at different time nodes with the standard working temperature interval; If the real-time temperature of the energy storage battery cell at all time nodes belongs to the standard working temperature interval, no operation is performed; If the real-time temperature of the energy storage battery cell at any time node does not belong to the standard working temperature interval, the corresponding energy storage battery cell is recorded as a cell abnormal battery, and the corresponding time node is recorded as an abnormal time node of the cell abnormal battery in the natural heat dissipation state.
4. The multi-parameter combined test method for heat dissipation performance of an energy storage battery box according to claim 3, characterized in that, The analysis process in the step S3 includes the following sub-steps: Step S31, install the energy storage battery into the to-be-detected box, start the heat dissipation device, and discharge the energy storage battery cell at a standard discharge rate. The heat dissipation state of the to-be-detected box in the corresponding state is recorded as an external force heat dissipation state; Step S32, repeat steps S22-S26 and analyze the energy storage battery cell in the to-be-detected box in the external force heat dissipation state. The analysis process is specifically: If there is no cell abnormal battery in the to-be-detected box in the external force heat dissipation state, no operation is performed; If there is any cell abnormal battery in the to-be-detected box in the external force heat dissipation state, the abnormal time node corresponding to the cell abnormal battery in the external force heat dissipation state is obtained; Step S33, count the cell abnormal batteries in the natural heat dissipation state and the external force heat dissipation state at different abnormal time nodes.
5. The multi-parameter combined test method for heat dissipation performance of an energy storage battery box according to claim 4, characterized in that, The counting process in the step S33 is specifically: For different abnormal time nodes, count the number of cell abnormal batteries in the natural heat dissipation state and record it as the number of cell abnormalities in the natural heat dissipation state; Similarly, count the number of cell abnormal batteries in the external force heat dissipation state and record it as the number of cell abnormalities in the external force heat dissipation state.
6. The multi-parameter combined test method for heat dissipation performance of an energy storage battery box according to claim 5, characterized in that, The analysis process in the step S4 includes the following sub-steps: Step S41, obtain the abnormal time node corresponding to the cell abnormal battery in the natural heat dissipation state and the external force heat dissipation state; Step S42, compare the abnormal time node corresponding to the cell abnormal battery in the natural heat dissipation state with the abnormal time node corresponding to the cell abnormal battery in the external force heat dissipation state; If the abnormal time node corresponding to the cell abnormal battery in the natural heat dissipation state is the same as the abnormal time node corresponding to the cell abnormal battery in the external force heat dissipation state, no operation is performed; If the abnormal time node corresponding to the cell abnormal battery in the natural heat dissipation state is different from the abnormal time node corresponding to the cell abnormal battery in the external force heat dissipation state, step S43 is entered.
7. The multi-parameter combined test method for heat dissipation performance of an energy storage battery box according to claim 6, characterized in that, The analysis process in the step S4 also includes the following sub-steps: Step S43, arrange the abnormal time node corresponding to the cell abnormal battery in the natural heat dissipation state in ascending order of time, and obtain a set of abnormal time nodes in the natural heat dissipation state; Similarly, arrange the abnormal time node corresponding to the cell abnormal battery in the external force heat dissipation state in ascending order of time, and obtain a set of abnormal time nodes in the external force heat dissipation state; Step S44, record different abnormal time nodes in the set of abnormal time nodes as different time elements; Sort the time elements in the set of abnormal time nodes in the natural heat dissipation state and the time elements in the set of abnormal time nodes in the external force heat dissipation state in ascending order, and obtain abnormal time node data; Step S45, analyzing different time elements in the abnormal time node data.
8. The multi-parameter combined test method for heat dissipation performance of an energy storage battery box according to claim 7, characterized in that, The analysis process in step S45 includes the following sub-steps: Step S451, for the first time element in the abnormal time node set, if the first time element in the abnormal time node set in the natural heat dissipation state is located on the left side of the first time element in the abnormal time node set in the external force heat dissipation state, the corresponding time element in the abnormal time node set in the external force heat dissipation state is recorded as an effective heat dissipation node; If the first time element in the abnormal time node set in the natural heat dissipation state is located on the right side of the first time element in the abnormal time node set in the external force heat dissipation state, the corresponding time element in the abnormal time node set in the external force heat dissipation state is recorded as an ineffective heat dissipation node; Step S452, comparing different time elements in the abnormal time node set in the natural heat dissipation state with corresponding time elements in the abnormal time node set in the external force heat dissipation state, and obtaining different effective heat dissipation nodes and ineffective heat dissipation nodes in the external force heat dissipation state through comparison; Step S453, counting the number of effective heat dissipation nodes in the external force heat dissipation state and recording it as the number of effective heat dissipation nodes, and counting the number of ineffective heat dissipation nodes in the external force heat dissipation state and recording it as the number of ineffective heat dissipation nodes.
9. The multi-parameter combined test method for heat dissipation performance of an energy storage battery box according to claim 8, characterized in that, The analysis process in step S5 includes the following sub-steps: Step S51, obtaining the number of single abnormalities in the natural heat dissipation state and the number of single abnormalities in the external force heat dissipation state, and comparing the number of single abnormalities in the external force heat dissipation state with the number of single abnormalities in the natural heat dissipation state; If the number of single abnormalities in the external force heat dissipation state is greater than or equal to the number of single abnormalities in the natural heat dissipation state, the heat dissipation performance of the corresponding to-be-detected box is recorded as heat dissipation unqualified; If the number of single abnormalities in the external force heat dissipation state is less than the number of single abnormalities in the natural heat dissipation state, step S52 is entered; Step S52, subtracting the number of single abnormalities in the external force heat dissipation state from the number of single abnormalities in the natural heat dissipation state and then dividing the result by the number of single abnormalities in the natural heat dissipation state to obtain the heat dissipation improvement rate of the energy storage battery monomer.
10. The multi-parameter combined test method for heat dissipation performance of an energy storage battery box according to claim 9, characterized in that, The analysis process in step S5 also includes the following sub-steps: Step S53, comparing the heat dissipation improvement rate of the energy storage battery monomer with the heat dissipation improvement rate threshold; If the heat dissipation improvement rate of the energy storage battery monomer is greater than or equal to the heat dissipation improvement rate threshold, step S54 is entered; If the heat dissipation improvement rate of the energy storage battery monomer is less than the heat dissipation improvement rate threshold, the heat dissipation performance of the corresponding to-be-detected box is recorded as heat dissipation unqualified; Step S54, comparing the number of effective heat dissipation nodes with the number of ineffective heat dissipation nodes in the external force heat dissipation state; If the number of effective heat dissipation nodes in the external force heat dissipation state is greater than the number of ineffective heat dissipation nodes, the heat dissipation performance of the corresponding to-be-detected box is recorded as heat dissipation qualified; If the number of effective heat dissipation nodes in the external force heat dissipation state is less than or equal to the number of ineffective heat dissipation nodes, the heat dissipation performance of the corresponding to-be-detected box is recorded as heat dissipation unqualified.
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