Multi-parameter joint test method for heat dissipation performance of energy storage battery box

Abstract

The application discloses a multi-parameter joint testing method for heat dissipation performance of an energy storage battery box body, relates to the field of heat dissipation testing, and solves the problem that the heat dissipation performance of a to-be-tested box body cannot be efficiently tested from different dimensions. The method comprises the following steps: obtaining a standard working temperature interval and a standard discharge rate of an energy storage battery monomer in the to-be-tested box body; analyzing the energy storage battery monomer in a natural heat dissipation state; simultaneously analyzing the energy storage battery monomer in an external force heat dissipation state and the natural heat dissipation state; constructing an abnormal time node set in the natural heat dissipation state and the external force heat dissipation state according to abnormal time nodes, and analyzing time elements in the abnormal time node set; and finally analyzing the heat dissipation performance of the to-be-tested box body 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 monomer abnormalities in different heat dissipation states. The application realizes efficient testing of the heat dissipation performance of the to-be-tested box body from different dimensions.

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 battery box as a key structure for containing the battery module and providing a heat dissipation path, the heat dissipation performance of the battery box directly determines the efficiency of the whole thermal management system.

[0003] 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.

[0004] Therefore, the application provides a multi-parameter joint test method for heat dissipation performance of an energy storage battery box. SUMMARY

[0005] 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.

[0006] The technical problem to be solved by the application is:

[0007] How to efficiently test the heat dissipation performance of the to-be-tested box from different dimensions.

[0008] In order to achieve the above-mentioned purpose, the application adopts the following technical scheme:

[0009] The multi-parameter joint test method for heat dissipation performance of an energy storage battery box comprises the following steps:

[0010] Step S1, obtaining a standard working temperature range and a standard discharge rate of energy storage battery monomers in a to-be-tested box;

[0011] 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 corresponding to an abnormal battery under the natural heat dissipation state;

[0012] Step S3, the energy storage battery monomer inside the to-be-detected box is analyzed simultaneously in the external force heat dissipation state and the natural heat dissipation state, and the number of monomers in different heat dissipation states is obtained;

[0013] 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;

[0014] Step S5, the heat dissipation performance of the to-be-detected box is finally analyzed 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 monomer abnormalities in different heat dissipation states.

[0015] Further, the analysis process in step S2 includes the following sub-steps:

[0016] Step S21, install the energy storage battery into the to-be-detected box, close the heat dissipation device, discharge the energy storage battery monomer at the standard discharge rate, and record the heat dissipation state in the to-be-detected box in the corresponding state as the natural heat dissipation state;

[0017] Step S22, collect the real-time temperature of different energy storage battery monomers at different time nodes in the natural heat dissipation state, and for the same time node, add the real-time temperature of different energy storage battery monomers to obtain the average real-time temperature of the energy storage battery monomer;

[0018] Similarly, the average real-time temperature of the energy storage battery at different time nodes is calculated;

[0019] 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;

[0020] Similarly, the real-time temperature standard deviation of the energy storage battery monomer at different time nodes is calculated by the standard deviation formula.

[0021] Further, the analysis process in step S2 includes the following sub-steps:

[0022] 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;

[0023] Similarly, the temperature uniform interval of the energy storage battery monomer corresponding to different time nodes is constructed;

[0024] Step S25, for any energy storage battery cell, compare the cell real-time temperature of the energy storage battery cell at different time nodes with the corresponding temperature uniform interval;

[0025] If the cell real-time temperature of the energy storage battery cell at all time nodes belongs to the temperature uniform interval, go to step S26;

[0026] If the cell real-time temperature of the energy storage battery cell at any time node does not belong to the temperature uniform interval, record the corresponding energy storage battery cell as a cell abnormal battery, and record the corresponding time node as the abnormal time node of the cell abnormal battery under the natural heat dissipation state;

[0027] Step S26, compare the cell real-time temperature of the energy storage battery cell at different time nodes with the standard working temperature interval;

[0028] If the cell real-time temperature of the energy storage battery cell at all time nodes belongs to the standard working temperature interval, do not perform any operation;

[0029] If the cell real-time temperature of the energy storage battery cell at any time node does not belong to the standard working temperature interval, record the corresponding energy storage battery cell as a cell abnormal battery, and record the corresponding time node as the abnormal time node of the cell abnormal battery under the natural heat dissipation state.

[0030] Further, the analysis process in step S3 includes the following sub-steps:

[0031] Step S31, install the energy storage battery into the to-be-detected box, start the heat dissipation device, and make the energy storage battery cell discharge at a standard discharge rate. The heat dissipation state of the to-be-detected box under the corresponding state is recorded as an external force heat dissipation state;

[0032] Step S32, repeat steps S22-S26 and analyze the energy storage battery cell in the to-be-detected box under the external force heat dissipation state. The analysis process is specifically as follows:

[0033] If there is no any cell abnormal battery in the to-be-detected box under the external force heat dissipation state, do not perform any operation;

[0034] If there is any cell abnormal battery in the to-be-detected box under the external force heat dissipation state, obtain the abnormal time node of the cell abnormal battery under the external force heat dissipation state;

[0035] Step S33, count the cell abnormal batteries under the natural heat dissipation state and the external force heat dissipation state at different abnormal time nodes.

[0036] Further, the counting process in step S33 is specifically as follows:

[0037] For different abnormal time nodes, the number of single abnormal battery in the natural heat dissipation state is counted and recorded as the number of single abnormal battery in the natural heat dissipation state;

[0038] Similarly, the number of single abnormal battery in the external force heat dissipation state is counted and recorded as the number of single abnormal battery in the external force heat dissipation state.

[0039] Further, the analysis process in the step S4 includes the following sub-steps:

[0040] Step S41, acquiring the abnormal time nodes corresponding to the single abnormal battery in the natural heat dissipation state and the external force heat dissipation state;

[0041] Step S42, comparing the abnormal time nodes corresponding to the single abnormal battery in the natural heat dissipation state with the abnormal time nodes corresponding to the single abnormal battery in the external force heat dissipation state;

[0042] If the abnormal time nodes corresponding to the single abnormal battery in the natural heat dissipation state are the same as the abnormal time nodes corresponding to the single abnormal battery in the external force heat dissipation state, no operation is performed;

[0043] If the abnormal time nodes corresponding to the single abnormal battery in the natural heat dissipation state are different from the abnormal time nodes corresponding to the single abnormal battery in the external force heat dissipation state, step S43 is entered.

[0044] Further, the analysis process in the step S4 includes the following sub-steps:

[0045] 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 arranging to obtain the abnormal time node set in the natural heat dissipation state;

[0046] Similarly, the abnormal time nodes corresponding to the single abnormal battery in the external force heat dissipation state are arranged in ascending order of time, and the abnormal time node set in the external force heat dissipation state is arranged;

[0047] Step S44, recording the different abnormal time nodes in the abnormal time node set as different time elements;

[0048] 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 are sequentially sorted in ascending order to obtain abnormal time node data;

[0049] Step S45, analyzing the different time elements in the abnormal time node data.

[0050] Further, the analysis process in the step S45 includes the following sub-steps:

[0051] 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;

[0052] 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 invalid heat dissipation node.

[0053] 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 invalid heat dissipation nodes in the external force heat dissipation state through comparison.

[0054] 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.

[0055] Further, the analysis process in step S5 includes the following sub-steps:

[0056] 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.

[0057] 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 unqualified heat dissipation.

[0058] 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.

[0059] 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 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.

[0060] Further, the analysis process in step S5 also includes the following sub-steps:

[0061] Step S53, comparing the heat dissipation improvement rate of the energy storage battery monomer with the heat dissipation improvement rate threshold.

[0062] 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.

[0063] 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;

[0064] In step S54, the number of effective heat dissipation nodes and the number of invalid heat dissipation nodes in the external force heat dissipation state are compared;

[0065] 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 corresponding to-be-detected box is recorded as heat dissipation qualified;

[0066] 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 corresponding to-be-detected box is recorded as heat dissipation unqualified.

[0067] Compared with the prior art, the beneficial effects of the present application are:

[0068] 1. Firstly, the standard working temperature interval and the standard discharge rate of the energy storage battery monomer in the to-be-detected box are obtained, then different energy storage battery monomers in the to-be-detected box in the natural heat dissipation state are analyzed, the abnormal time node corresponding to the monomer abnormal battery in the natural heat dissipation state is obtained, then the energy storage battery monomers in the to-be-detected box in the external force heat dissipation state and the natural heat dissipation state are analyzed, and the number of monomer abnormalities in different heat dissipation states is obtained. The present application realizes the analysis of the energy storage battery monomers in different heat dissipation states, and obtains the number of monomer abnormalities in different heat dissipation states;

[0069] 2. The present application also constructs the abnormal time node set in the natural heat dissipation state and the external force heat dissipation state according to the abnormal time node, and analyzes different time elements in the abnormal time node set, so as to obtain the number of effective heat dissipation nodes and the number of invalid heat dissipation nodes. The present application realizes the effective analysis of the abnormal time node, and obtains the number of effective heat dissipation nodes and the number of invalid heat dissipation nodes;

[0070] 3. Finally, the heat dissipation performance of the to-be-detected box is finally analyzed 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 monomer abnormalities in different heat dissipation states. The present application realizes the effective test of the heat dissipation performance of the to-be-detected box from different dimensions. BRIEF DESCRIPTION OF DRAWINGS

[0071] In order to facilitate those skilled in the art to understand, the present application will be further described below with reference to the drawings.

[0072] Figure 1 The method flowchart of the present application;

[0073] Figure 2 The schematic diagram of the energy storage battery in the present application;

[0074] Figure 3 A schematic diagram of the set of abnormal time nodes in the application;

[0075] Figure 4 A schematic diagram of the structure of the electronic device in the application. DETAILED DESCRIPTION

[0076] The technical solutions of the application will be described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the application.

[0077] Embodiment 1, please refer to Figures 1-3 The technical solution provided by the application is a multi-parameter joint testing method for the heat dissipation performance of an energy storage battery box. The method is suitable for testing the heat dissipation performance of a to-be-tested box. The energy storage battery is installed inside the to-be-tested box, and 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. The method comprises the following steps:

[0078] Step S1, obtaining the standard working temperature range and the standard discharge rate of the energy storage battery monomers inside the to-be-tested box;

[0079] 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.

[0080] Step S2, analyzing different energy storage battery monomers inside the to-be-tested box in a natural heat dissipation state to obtain abnormal time nodes corresponding to abnormal battery monomers in the natural heat dissipation state;

[0081] In this embodiment, the analysis process in step S2 comprises the following sub-steps:

[0082] Step S21, installing the energy storage battery inside the to-be-tested box according to the actual installation position, closing the heat dissipation device, and discharging the energy storage battery monomers at the standard discharge rate. The heat dissipation state of the to-be-tested box in the corresponding state is recorded as the natural heat dissipation state;

[0083] Step S22, collecting the real-time temperature of different energy storage battery monomers at different time nodes in the natural heat dissipation state. For the same time node, the real-time temperatures of different energy storage battery monomers are added and averaged to obtain the average real-time temperature of the energy storage battery monomers;

[0084] Similarly, the average real-time temperature of the energy storage battery at different time nodes is calculated;

[0085] 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;

[0086] Similarly, the real-time temperature standard deviation of the energy storage battery monomer at different time nodes is calculated by the standard deviation formula;

[0087] 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;

[0088] Similarly, the temperature uniform interval corresponding to the energy storage battery monomer at different time nodes is constructed;

[0089] It needs to be explained that since the temperature of the energy storage battery monomer at different time nodes is different, in this embodiment, multiple temperature uniform intervals are constructed for the energy storage battery monomer at different time nodes;

[0090] Step S25, for any energy storage battery monomer, the monomer real-time temperature of the energy storage battery monomer at different time nodes is compared with the corresponding temperature uniform interval;

[0091] If the monomer real-time temperature of the energy storage battery monomer at all time nodes belongs to the temperature uniform interval, step S26 is entered;

[0092] If the monomer real-time temperature of the energy storage battery monomer at any time node does not belong to 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 an abnormal time node corresponding to the monomer abnormal battery under the natural heat dissipation state;

[0093] Step S26, the monomer real-time temperature of the energy storage battery monomer at different time nodes is compared with the standard working temperature interval;

[0094] If the monomer real-time temperature of the energy storage battery monomer at all time nodes belongs to the standard working temperature interval, no operation is performed;

[0095] If the monomer real-time temperature of the energy storage battery monomer at any time node does not belong to the standard working temperature interval, the corresponding energy storage battery monomer is recorded as a monomer abnormal battery, and the corresponding time node is recorded as an abnormal time node corresponding to the monomer abnormal battery under the natural heat dissipation state.

[0096] Step S3, the energy storage battery monomers inside the to-be-detected box under the external force heat dissipation state and the natural heat dissipation state are analyzed at the same time, and the number of monomer abnormalities under different heat dissipation states is obtained;

[0097] In the embodiment, the analysis process in the step S3 comprises the following sub-steps:

[0098] The step S31 installs the energy storage battery into the to-be-detected box according to the actual installation position, opens the heat dissipation device, discharges the energy storage battery at a standard discharge rate, and records the heat dissipation state of the to-be-detected box under the corresponding state as an external force heat dissipation state.

[0099] The step S32 repeats the steps S22-S26 and analyzes the energy storage battery in the to-be-detected box under the external force heat dissipation state, and the analysis process is specifically as follows:

[0100] If there is no any abnormal battery in the to-be-detected box under the external force heat dissipation state, no operation is performed.

[0101] If there is any abnormal battery in the to-be-detected box under the external force heat dissipation state, the abnormal time node corresponding to the abnormal battery under the external force heat dissipation state is obtained.

[0102] It should be explained that the abnormal time node corresponding to the abnormal battery under the external force heat dissipation state is obtained in the same way as the abnormal time node corresponding to the abnormal battery under the natural heat dissipation state, which will not be described here.

[0103] The step S33 counts the abnormal batteries under the natural heat dissipation state and the external force heat dissipation state at different abnormal time nodes, and the counting process is specifically as follows:

[0104] For different abnormal time nodes, the number of abnormal batteries under the natural heat dissipation state is counted and recorded as the number of abnormal batteries under the natural heat dissipation state.

[0105] Similarly, the number of abnormal batteries under the external force heat dissipation state is counted and recorded as the number of abnormal batteries under the external force heat dissipation state.

[0106] The step S4 constructs the abnormal time node set under the natural heat dissipation state and the 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.

[0107] In the embodiment, the analysis process in the step S4 comprises the following sub-steps:

[0108] The step S41 obtains the abnormal time node corresponding to the abnormal battery under the natural heat dissipation state and the external force heat dissipation state.

[0109] The step S42 compares the abnormal time node corresponding to the abnormal battery under the natural heat dissipation state with the abnormal time node corresponding to the abnormal battery under the external force heat dissipation state.

[0110] If the abnormal time node corresponding to the single abnormal battery in the natural cooling state is the same as the abnormal time node corresponding to the single abnormal battery in the forced cooling state, no operation is performed;

[0111] If the abnormal time node corresponding to the single abnormal battery in the natural cooling state is different from the abnormal time node corresponding to the single abnormal battery in the forced cooling state, step S43 is entered;

[0112] Step S43, please refer to Figure 3 The abnormal time nodes corresponding to the single abnormal battery in the natural cooling state are arranged in ascending order of time, and the abnormal time node set in the natural cooling state is obtained by arrangement;

[0113] Similarly, the abnormal time nodes corresponding to the single abnormal battery in the forced cooling state are arranged in ascending order of time, and the abnormal time node set in the forced cooling state is obtained by arrangement;

[0114] Step S44, different abnormal time nodes in the abnormal time node set are recorded as different time elements;

[0115] The time elements in the abnormal time node set in the natural cooling state and the time elements in the abnormal time node set in the forced cooling state are sequentially sorted in ascending order, and the abnormal time node data is obtained;

[0116] Step S45, the different time elements in the abnormal time node data are analyzed;

[0117] In this embodiment, the analysis process in step S45 includes the following sub-steps:

[0118] 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 cooling state is located on the left side of the first time element in the abnormal time node set in the forced cooling state, the corresponding time element in the abnormal time node set in the forced cooling state is recorded as an effective cooling node;

[0119] If the first time element in the abnormal time node set in the natural cooling state is located on the right side of the first time element in the abnormal time node set in the forced cooling state, the corresponding time element in the abnormal time node set in the forced cooling state is recorded as an invalid cooling node;

[0120] Step S452, the different time elements in the abnormal time node set in the natural cooling state are compared with the corresponding time elements in the abnormal time node set in the forced cooling state, and the different effective cooling nodes and invalid cooling nodes in the forced cooling state are obtained by comparison;

[0121] Step S453, the number of effective heat dissipation nodes in the external force heat dissipation state is counted and recorded as the effective heat dissipation node number, and the number of invalid heat dissipation nodes in the external force heat dissipation state is counted and recorded as the invalid heat dissipation node number;

[0122] For example, as shown in the following table, 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. In this case, A, B, C, X, Y, and Z are arranged in ascending order of time, A is located to the left of X, B is located to the left of Y, and C is located to the right of Z. Then, X and Y are recorded as effective heat dissipation nodes, and Z is recorded as an invalid heat dissipation node. Figure 3

[0123] 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;

[0124] In this embodiment, the analysis process in step S5 includes the following sub-steps:

[0125] 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;

[0126] 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 heat dissipation;

[0127] 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;

[0128] 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;

[0129] Step S53, the heat dissipation improvement rate of the energy storage battery monomer is compared with the heat dissipation improvement rate threshold;

[0130] 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;

[0131] 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 heat dissipation;

[0132] ​Step S54: Compare the number of effective heat dissipation nodes with the number of ineffective heat dissipation nodes under external heat dissipation conditions;

[0133] If the number of effective heat dissipation nodes is greater than 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 qualified.

[0134] 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.

[0135] 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.

[0136] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of a software function unit and sold or used as an independent product, and can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various program code storage media.

[0137] In embodiment 3, the present application also 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 test method for heat dissipation performance of an energy storage battery box provided by the above-mentioned method, and the method comprises the following steps: obtaining a standard working temperature range and a standard discharge rate of an energy storage battery monomer in a to-be-detected box; analyzing different energy storage battery monomers in the to-be-detected box in a natural heat dissipation state, and obtaining an abnormal time node corresponding to an abnormal battery in the natural heat dissipation state through analysis; simultaneously analyzing the energy storage battery monomers in the to-be-detected box in an external force heat dissipation state and a natural heat dissipation state, and obtaining the number of abnormal monomers 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 the number of effective heat dissipation nodes and the number of invalid heat dissipation nodes; and 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.

[0138] 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 above, and the method comprises the following steps: obtaining a standard working temperature range and a standard discharge rate of an energy storage battery monomer in a box to be detected; analyzing different energy storage battery monomers in the box to be detected under a natural heat dissipation state, and obtaining an abnormal time node corresponding to an abnormal battery under the natural heat dissipation state; simultaneously analyzing the energy storage battery monomers in the box to be detected under an external force heat dissipation state and the natural heat dissipation state, and obtaining the number of abnormal monomers under different heat dissipation states; constructing an abnormal time node set under 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 the number of effective heat dissipation nodes and the number of invalid heat dissipation nodes; and finally analyzing the heat dissipation performance of the box to be detected according to the number of effective heat dissipation nodes, the number of invalid heat dissipation nodes under the external force heat dissipation state, or the number of abnormal monomers under different heat dissipation states.

[0139] The device embodiments described above are only schematic, wherein the units shown as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., may be located in one place or distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiments. Those skilled in the art can understand and implement without creative labor.

[0140] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and necessary universal hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of software products, which can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and include 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.

[0141] Finally, it should be pointed out that: the above embodiments are only used to illustrate the technical solutions of the application, and not to limit them; although the application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, 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 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; 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 arrange the abnormal time node set 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 arrange the abnormal time node set in the external force heat dissipation state; Step S44, record the different abnormal time nodes in the abnormal time node set as different time elements; Sort 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 obtain abnormal time node data; Step S45, analyze the different time elements in the abnormal time node data.

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 S45 includes the following sub-steps: In step S451, for the first time element in the abnormal time node set in the natural heat dissipation state, 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; In step S452, different time elements in the abnormal time node set in the natural heat dissipation state are compared with the corresponding time elements in the abnormal time node set in the external force heat dissipation state, and different effective heat dissipation nodes and ineffective heat dissipation nodes in the external force heat dissipation state are obtained through comparison; In 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 ineffective heat dissipation nodes in the external force heat dissipation state is counted and recorded as the number of ineffective heat dissipation nodes.

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 the step S5 includes the following sub-steps: In 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 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; In 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.

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 the step S5 also includes the following sub-steps: In step S53, the heat dissipation improvement rate of the energy storage battery monomer is compared with the heat dissipation improvement rate threshold value; If the heat dissipation improvement rate of the energy storage battery monomer is greater than or equal to the heat dissipation improvement rate threshold value, 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 value, the heat dissipation performance of the corresponding to-be-detected box is recorded as heat dissipation unqualified; In step S54, the number of effective heat dissipation nodes and the number of ineffective heat dissipation nodes in the external force heat dissipation state are compared; 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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