CN115327423A - Battery pack thermal runaway detection method, device, equipment and storage medium - Google Patents
Battery pack thermal runaway detection method, device, equipment and storage medium Download PDFInfo
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- CN115327423A CN115327423A CN202210902597.3A CN202210902597A CN115327423A CN 115327423 A CN115327423 A CN 115327423A CN 202210902597 A CN202210902597 A CN 202210902597A CN 115327423 A CN115327423 A CN 115327423A
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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Abstract
The invention relates to the technical field of power batteries, and discloses a method, a device, equipment and a storage medium for detecting thermal runaway of a battery pack, wherein the method comprises the following steps: obtaining the deformation amount of the battery pack to be tested after extrusion testing; matching a target deformation quantity in a preset database according to the cell information of the battery pack to be tested; and detecting whether the thermal runaway of the battery pack to be detected occurs or not according to the deformation quantity and the target deformation quantity. According to the invention, the target deformation quantity is matched in the preset database according to the cell information, whether the thermal runaway of the battery pack to be tested occurs is detected according to the deformation quantity after the extrusion test of the battery pack to be tested and the target deformation quantity, and whether the thermal runaway of the battery pack to be tested occurs is determined according to the deformation quantity after the extrusion test and the target deformation quantity matched in the preset database, so that the accuracy of the thermal runaway detection of the battery pack is improved.
Description
Technical Field
The invention relates to the technical field of power batteries, in particular to a battery pack thermal runaway detection method, device, equipment and storage medium.
Background
At present, the technical development of new energy automobiles is faster and faster, new energy automobiles are also more and more popular, and due to the development of power battery technology, the charging speed and the endurance mileage of new energy automobiles are also greatly improved, but when an accident occurs in the driving process of the new energy automobiles, the power batteries can be extruded, so that the thermal runaway of the power batteries is caused to cause safety accidents, therefore, whether the thermal runaway of the power batteries can occur under severe working conditions such as extrusion collision and the like needs to be detected before the power batteries are assembled on the automobiles, so that the structure of the power batteries is optimized when the structure of the power batteries does not meet the requirements, but the accuracy of thermal runaway detection of battery packs in the prior art is low, and the safety of the power batteries cannot be ensured.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for detecting thermal runaway of a battery pack, and aims to solve the technical problem of low accuracy in detecting whether thermal runaway occurs in a power battery in the prior art.
In order to achieve the above object, the present invention provides a method for detecting thermal runaway of a battery pack, the method comprising the steps of:
obtaining the deformation amount of the battery pack to be tested after extrusion testing;
matching a target deformation quantity in a preset database according to the cell information of the battery pack to be tested;
and detecting whether the battery pack to be detected is out of thermal runaway or not according to the deformation quantity and the target deformation quantity.
Optionally, before obtaining the deformation amount of the battery pack to be tested after the extrusion test, the method further includes:
acquiring cell parameters of a plurality of sample cells in an extrusion test process;
when the cell parameters meet the thermal runaway condition, acquiring the current deformation quantity of the corresponding sample cell;
and constructing a preset database according to the cell information of the sample cells and the current deformation quantity.
Optionally, the constructing a preset database according to the cell information of the plurality of sample cells and the current deformation amount includes:
determining the model of each sample electric core according to the electric core information of the plurality of sample electric cores;
determining the average deformation quantity of sample battery cores of the same model according to the model and the current deformation quantity;
and determining a deformation threshold value according to the average deformation and a preset safety coefficient, and constructing a preset database according to the deformation threshold value and the model.
Optionally, the cell parameters include a voltage drop, a highest temperature of a cell monitoring point, and a temperature rise rate of the cell monitoring point;
when the cell parameter meets the thermal runaway condition, acquiring a current deformation amount of a corresponding sample cell, including:
judging whether the temperature rise rate is greater than or equal to a preset rate or not;
if so, judging that the corresponding sample cell is out of thermal runaway when the voltage drop is greater than a preset voltage drop and/or the highest temperature is greater than a preset temperature;
and when the sample battery cell is out of control due to heat, acquiring the current deformation quantity of the sample battery cell.
Optionally, the matching, in a preset database, the target deformation amount according to the electric core information of the battery pack to be tested includes:
determining the model of the battery cell according to the battery cell information of the battery pack to be tested;
and matching a target deformation quantity in a preset database according to the battery cell model.
Optionally, the detecting whether thermal runaway occurs in the battery pack to be tested according to the deformation quantity and the target deformation quantity includes:
judging whether the deformation quantity is larger than the target deformation quantity or not;
and if so, judging that the thermal runaway of the battery pack to be tested occurs.
Optionally, after detecting whether thermal runaway occurs in the battery pack to be tested according to the deformation amount and the target deformation amount, the method further includes:
acquiring the extrusion direction of the battery pack to be tested in the extrusion test;
and carrying out structural optimization on the battery pack to be tested according to the extrusion direction.
In addition, in order to achieve the above object, the present invention also provides a battery pack thermal runaway detection apparatus, including:
the acquisition module is used for acquiring the deformation quantity of the battery pack to be tested after extrusion test;
the matching module is used for matching a target deformation quantity in a preset database according to the electric core information of the battery pack to be tested;
and the detection module is used for detecting whether the thermal runaway of the battery pack to be detected occurs according to the deformation quantity and the target deformation quantity.
In addition, in order to achieve the above object, the present invention also provides a battery pack thermal runaway detection apparatus, including: a memory, a processor, and a battery pack thermal runaway detection program stored on the memory and executable on the processor, the battery pack thermal runaway detection program configured to implement the steps of the battery pack thermal runaway detection method as described above.
In addition, to achieve the above object, the present invention further provides a storage medium having a battery pack thermal runaway detection program stored thereon, where the battery pack thermal runaway detection program, when executed by a processor, implements the steps of the battery pack thermal runaway detection method as described above.
The deformation quantity of the battery pack to be tested after extrusion testing is obtained; matching a target deformation quantity in a preset database according to the cell information of the battery pack to be tested; and detecting whether the battery pack to be detected is out of thermal runaway or not according to the deformation quantity and the target deformation quantity. According to the invention, the target deformation quantity is matched in the preset database according to the cell information, whether the thermal runaway of the battery pack to be tested occurs is detected according to the deformation quantity after the extrusion test of the battery pack to be tested and the target deformation quantity, and whether the thermal runaway of the battery pack to be tested occurs is determined according to the deformation quantity after the extrusion test and the target deformation quantity matched in the preset database, so that the accuracy of the thermal runaway detection of the battery pack is improved.
Drawings
Fig. 1 is a schematic structural diagram of a battery pack thermal runaway detection device in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a method for detecting thermal runaway of a battery pack according to a first embodiment of the invention;
FIG. 3 is a schematic flow chart illustrating a method for detecting thermal runaway of a battery pack according to a second embodiment of the invention;
FIG. 4 is a schematic flow chart illustrating a method for detecting thermal runaway of a battery pack according to a third embodiment of the invention;
fig. 5 is a block diagram of a first embodiment of a thermal runaway detection device for a battery pack according to the invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a battery pack thermal runaway detection device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the battery pack thermal runaway detection apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the battery pack thermal runaway detection apparatus and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a battery pack thermal runaway detection program.
In the battery pack thermal runaway detection apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the battery pack thermal runaway detection device of the present invention may be arranged in the battery pack thermal runaway detection device, and the battery pack thermal runaway detection device invokes, through the processor 1001, a battery pack thermal runaway detection program stored in the memory 1005 and executes the battery pack thermal runaway detection method provided by the embodiment of the present invention.
An embodiment of the present invention provides a method for detecting thermal runaway of a battery pack, and with reference to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of the method for detecting thermal runaway of a battery pack according to the present invention.
In this embodiment, the method for detecting thermal runaway of the battery pack includes the following steps:
step S10: and obtaining the deformation amount of the battery pack to be tested after the extrusion test.
It should be noted that the execution main body of the embodiment may be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, a mobile phone, or an electronic device, a battery pack thermal runaway detection device, and the like, which can implement the above functions. This embodiment and the following embodiments will be described below by taking a thermal runaway detection device (simply referred to as a detection device) of a battery pack as an example.
In this embodiment, simulation analysis software may be CAE software, and the simulation analysis software may perform simulation analysis detection on the model of the battery pack to be tested by using the battery pack thermal runaway detection method of this embodiment, so as to determine whether the battery pack to be tested is thermally runaway under the existing structure; the battery pack thermal runaway detection method of this embodiment may also be used to perform thermal runaway detection on an entity battery pack to be detected, which is not limited herein.
It can be understood that the battery pack to be tested can be a battery pack which needs to be subjected to thermal runaway detection; the extrusion test can be a test for applying external force to the battery pack to be tested to deform the battery pack to be tested, and external pressure applied to the battery pack when an accident occurs is simulated through the extrusion test; the deformation amount may be a deformation amount of a battery cell in the battery pack to be tested after the extrusion test is completed, and the deformation amount may be an average value of deformation amounts of a plurality of target monitoring points on the battery cell, or a deformation amount of a certain target monitoring point, which is not limited herein in this embodiment.
In concrete realization, carry out the extrusion test to the battery package that awaits measuring to the external pressure that the battery package received when simulation new energy automobile takes place the accident, after carrying out the extrusion test to the battery package that awaits measuring, obtain a plurality of deformation amounts that a plurality of target monitoring point correspond on the electric core in the battery package, as the deformation amount of electric core in the battery package that awaits measuring after carrying out the extrusion test with the average value of a plurality of deformation amounts.
Step S20: and matching a target deformation quantity in a preset database according to the cell information of the battery pack to be tested.
It can be understood that the cell information may be information capable of indicating a cell type in the battery pack, and the cell information includes information such as a cell model, a cell identification number, a cell code, and the like; the preset database can be a preset database which stores the corresponding relation between the cell information and the cell deformation when the battery pack is out of control due to heat; the target deformation quantity can be a deformation quantity corresponding to the cell information of the battery pack to be tested in the preset database, the target deformation quantity can be a threshold value, and when the deformation quantity of the cell in the corresponding type of battery pack does not reach the threshold value, the battery pack can be judged to have no thermal runaway; and when the deformation amount of the battery core in the corresponding type of battery pack reaches or exceeds the threshold value, judging that the battery pack is out of thermal runaway.
In specific implementation, the target deformation quantity of the battery core when the thermal runaway of the battery pack of the type occurs is matched in a preset database according to the battery core information of the battery pack to be detected.
Step S30: and detecting whether the battery pack to be detected is out of thermal runaway or not according to the deformation quantity and the target deformation quantity.
In concrete realization, the external pressure that the battery package received when carrying out the extrusion test to the battery package that awaits measuring in order to simulate new energy vehicle to take place the accident, when the extrusion test to the battery package that awaits measuring is accomplished, obtain a plurality of deformation amounts that correspond on the electric core of the battery package that awaits measuring a plurality of target monitoring points, the average value of a plurality of deformation amounts is as the deformation amount of electric core in the battery package that awaits measuring after the battery package that awaits measuring carries out the extrusion test, match the target deformation amount of electric core when the battery package that awaits measuring takes place the thermal runaway in predetermineeing the database according to the electric core information of the battery package that awaits measuring, whether the battery package that awaits measuring takes place the thermal runaway is confirmed according to the relation between target deformation amount and the deformation amount.
Further, in order to improve the accuracy of the thermal runaway detection of the battery pack and improve the safety of the power battery, the step S20 includes: determining the model of the battery cell according to the battery cell information of the battery pack to be tested; and matching a target deformation quantity in a preset database according to the battery cell model.
In specific implementation, the model of the battery cell is read from the battery cell information of the battery pack to be tested, and the target deformation quantity of the battery cell corresponding to the battery pack to be tested when thermal runaway is generated is matched in a preset database according to the model of the battery cell.
Further, in order to improve the accuracy of the thermal runaway detection of the battery pack and improve the safety of the power battery, the step S30 includes: judging whether the deformation quantity is larger than the target deformation quantity or not; and if so, judging that the thermal runaway of the battery pack to be tested occurs.
In specific implementation, for example, the preset database may refer to table 1, the detection device performs extrusion testing on the battery pack to be tested, after the extrusion testing is performed, deformation amounts of 4 target monitoring points on the battery cell are respectively 3, 4 and 5, then the deformation amount of the battery cell in the battery pack to be tested is 4, the battery cell model is determined to be A2 according to the battery cell information, then the target deformation amount matched in table 1 according to A2 is 2, the deformation amount of the battery pack to be tested is greater than the target deformation amount, and at this time, it is determined that the thermal runaway of the battery pack to be tested occurs.
TABLE 1
| Cell model | Amount of deformation |
| A1 | 3 |
| A2 | 2 |
| A3 | 5 |
| A4 | 4 |
The deformation quantity of the battery pack to be tested after the extrusion test is carried out is obtained; matching a target deformation quantity in a preset database according to the cell information of the battery pack to be tested; and detecting whether the battery pack to be detected is out of thermal runaway or not according to the deformation quantity and the target deformation quantity. According to the embodiment, the target deformation amount is matched in the preset database according to the cell information, whether the thermal runaway of the battery pack to be detected occurs is detected according to the deformation amount and the target deformation amount after the extrusion test is performed on the battery pack to be detected, whether the thermal runaway of the battery pack to be detected occurs can be determined through the deformation amount after the extrusion test and the target deformation amount matched in the preset database, and the accuracy of the thermal runaway detection of the battery pack is improved.
Referring to fig. 3, fig. 3 is a schematic flow chart of a battery pack thermal runaway detection method according to a second embodiment of the invention.
Based on the first embodiment, in this embodiment, before the step S10, the method further includes:
step S01: and acquiring the cell parameters of a plurality of sample cells in the extrusion test process.
It can be understood that the sample cell may be a cell that is not provided with a protection structure and is subjected to a test, and on the other hand, the battery pack can be obtained after the sample cell is provided with the protection structure; the sample battery cells are provided with a plurality of models, and the number of each model of battery cell is a plurality; the cell parameter can be a parameter for determining whether the cell is out of thermal control; in the process of carrying out extrusion testing on a plurality of sample battery cores, the battery core parameters of each sample battery core are obtained.
Step S02: and when the cell parameters accord with the thermal runaway condition, acquiring the current deformation quantity of the corresponding sample cell.
It can be understood that the thermal runaway condition may be a condition for judging whether the sample battery cell is subjected to thermal runaway, specifically, the thermal runaway condition may be a parameter threshold corresponding to a battery cell parameter, and whether the battery cell parameter meets the thermal runaway condition is judged according to the battery cell parameter and the parameter threshold of the sample battery cell; the current deformation amount may be a deformation amount when thermal runaway occurs in the sample cell.
Step S03: and constructing a preset database according to the cell information of the sample cells and the current deformation quantity.
It should be understood that, the constructing of the preset database according to the cell information of the plurality of sample cells and the current deformation amount may be determining sample cells of the same type according to the cell information of the plurality of sample cells, determining an average deformation amount of each sample cell in the sample cells of the same type according to the current deformation amount of each sample cell, and constructing the preset database according to the cell information corresponding to the average deformation amount of each sample cell.
In the concrete implementation, a plurality of sample battery cells are subjected to extrusion testing, wherein the plurality of sample battery cells can be subjected to extrusion testing simultaneously, the plurality of sample battery cells can also be subjected to extrusion testing according to a preset sequence, in the process of extrusion testing of the sample battery cells, the battery cell parameters of each sample battery cell are acquired in real time, whether the sample battery cells generate thermal runaway is determined according to the battery cell parameters and corresponding parameter thresholds, when the sample battery cells generate thermal runaway, the extrusion testing of the corresponding sample battery cells is stopped, the current deformation quantity of the sample battery cells is acquired, when the extrusion testing of all the sample battery cells is completed, the current deformation quantity of each sample battery cell when the thermal runaway occurs is acquired, the same type of sample battery cells are determined according to the battery cell information, the average deformation quantity of the same type of sample battery cells is solved, and a preset database is established according to the average deformation quantity and the battery cell information of each same type of battery cells.
Further, in order to improve the accuracy of the sample cell thermal runaway determination, the cell parameters include a voltage drop, a maximum temperature of the cell monitoring point, and a temperature rise rate of the cell monitoring point, and the step S02 includes: judging whether the temperature rise rate is greater than or equal to a preset rate or not; if so, judging that the corresponding sample battery core is out of thermal runaway when the voltage drop is greater than a preset voltage drop and/or the highest temperature is greater than a preset temperature; and when the sample electric core is out of control due to heat, acquiring the current deformation quantity of the sample electric core.
It will be appreciated that the rate of temperature rise may be the rate of temperature rise of a monitoring point on the sample cell; the maximum temperature may be the maximum temperature of a monitoring point on the sample cell; the voltage drop may be a voltage drop of the cell voltage relative to the initial voltage during the crush test; the preset rate can be the preset maximum rate of temperature rise of a monitoring point on the sample battery cell when the sample battery cell is out of control due to heat; the preset voltage drop may be a voltage drop of a preset voltage relative to an initial voltage when the sample cell is in thermal runaway; the preset temperature may be a temperature at which thermal runaway of the sample cell is preset.
In the concrete implementation, in the process of performing the extrusion test on the sample electric core, the temperature rise rate of a target monitoring point on the sample electric core is obtained, if the temperature rise rate is greater than or equal to the preset rate, the reduction ratio of the voltage of the sample electric core relative to the initial voltage is determined according to the voltage drop, when the reduction ratio is greater than the preset reduction ratio and/or the maximum temperature is greater than the preset temperature, the sample electric core is judged to be out of control thermally, when the sample electric core is out of control thermally, the extrusion test on the sample electric core is stopped, and the current deformation quantity is obtained.
Further, in order to improve the accuracy of the thermal runaway detection of the battery pack, the step S03 includes: determining the model of each sample electric core according to the electric core information of the plurality of sample electric cores; determining the average deformation amount of sample battery cores of the same model according to the model and the current deformation amount; and determining a deformation threshold value according to the average deformation and a preset safety factor, and constructing a preset database according to the deformation threshold value and the model.
It is understood that the preset safety factor may be a preset constant; determining the deformation amount threshold according to the average deformation amount and the preset safety factor may be dividing the average deformation amount by the preset safety factor to obtain the deformation amount threshold.
In concrete implementation, sample electric cores of 3 models are assumed, which are respectively: a1, A2 and A3, the preset safety factor is 1.5, the current deformation amount and the average deformation amount corresponding to the sample electric core of each model can refer to table 2, the deformation amount threshold values corresponding to A1, A2 and A3 can be determined to be 2, 1.3 and 3.3 respectively according to table 2, and then the preset database constructed according to the deformation amount threshold values and the models can refer to table 3.
TABLE 2
TABLE 3
| Model number | Amount of deformation |
| A1 | 2 |
| A2 | 1.3 |
| A3 | 3.3 |
In the embodiment, the cell parameters of a plurality of sample cells in the extrusion test process are obtained; when the cell parameters meet the thermal runaway condition, acquiring the current deformation quantity of the corresponding sample cell; and constructing a preset database according to the cell information of the sample cells and the current deformation quantity. This embodiment obtains electric core parameter at the in-process of carrying out the extrusion test to a plurality of sample electric cores, when electric core parameter accords with the thermal runaway condition, constructs preset database according to the current deformation volume and the electric core information of sample electric core to whether the thermal runaway takes place for the battery package that awaits measuring according to preset database, improved the degree of accuracy that the battery package thermal runaway detected.
Referring to fig. 4, fig. 4 is a schematic flow chart of a battery pack thermal runaway detection method according to a third embodiment of the invention.
Based on the foregoing embodiments, in this embodiment, after the step S30, the method further includes:
step S40: and acquiring the extrusion direction for carrying out extrusion test on the battery pack to be tested.
It can be understood that the extrusion direction includes horizontal extrusion and vertical extrusion, and it is right to acquire the extrusion direction that the battery package that awaits measuring carries out the extrusion test can be when carrying out the extrusion test to the battery package that awaits measuring, acquires the extrusion control parameter, confirms the extrusion direction to the battery package that awaits measuring according to the extrusion control parameter.
Step S50: and carrying out structural optimization on the battery pack to be tested according to the extrusion direction.
It can be understood that, the structural optimization of the battery pack to be tested according to the extrusion direction may be to determine the extrusion direction when the thermal runaway occurs in the battery pack to be tested, and optimize the structure of the battery pack to be tested in the corresponding direction according to the extrusion direction.
In the concrete implementation, when the battery pack to be tested is subjected to extrusion testing, the extrusion direction of the battery pack to be tested is determined to be transverse extrusion according to the extrusion control parameters, and the mode of carrying out structural optimization on the battery pack to be tested can be that a transverse beam is added on the battery pack in the transverse direction so as to improve the transverse strength of the battery pack.
Further, in order to optimize the structure of the battery pack according to the detection result to improve the safety of the battery pack when the thermal runaway of the battery pack occurs, the step S50 includes: determining the direction of the battery pack which is the same as the extrusion direction as a structure optimization direction; determining the strength to be improved according to the deformation amount; and arranging a reinforcing structure for the battery pack with the same model as the battery pack to be tested according to the structure optimization direction and the strength to be promoted.
In specific implementation, if the extrusion direction is longitudinal extrusion, the structural optimization direction is longitudinal optimization, the structural strength for offsetting the deformation is set as the strength to be improved, a corresponding reinforcing structure is selected according to the strength to be improved, the reinforcing structure can be aluminum alloy, iron or other metals, and the reinforcing structure is arranged in the longitudinal direction of the battery pack so as to improve the strength of the battery pack.
The embodiment acquires the extrusion direction of the extrusion test of the battery pack to be tested; and carrying out structural optimization on the battery pack to be tested according to the extrusion direction. This embodiment can carry out configuration optimization to the battery package according to the extrusion direction, has improved the development efficiency of battery package structure.
In addition, an embodiment of the present invention further provides a storage medium, where a battery pack thermal runaway detection program is stored on the storage medium, and when the battery pack thermal runaway detection program is executed by a processor, the steps of the battery pack thermal runaway detection method described above are implemented.
Referring to fig. 5, fig. 5 is a block diagram illustrating a first embodiment of a thermal runaway detector for a battery pack according to the present invention.
As shown in fig. 5, the device for detecting thermal runaway of a battery pack according to an embodiment of the present invention includes:
the acquisition module 10 is used for acquiring the deformation amount of the battery pack to be tested after extrusion test;
the matching module 20 is configured to match a target deformation amount in a preset database according to the electric core information of the battery pack to be tested;
and the detection module 30 is configured to detect whether thermal runaway occurs in the battery pack to be detected according to the deformation amount and the target deformation amount.
The deformation quantity of the battery pack to be tested after the extrusion test is carried out is obtained; matching a target deformation quantity in a preset database according to the cell information of the battery pack to be tested; and detecting whether the battery pack to be detected is out of thermal runaway or not according to the deformation quantity and the target deformation quantity. According to the embodiment, the target deformation amount is matched in the preset database according to the cell information, whether the thermal runaway of the battery pack to be detected occurs is detected according to the deformation amount after the extrusion test of the battery pack to be detected and the target deformation amount, whether the thermal runaway of the battery pack to be detected occurs can be determined according to the deformation amount after the extrusion test and the target deformation amount matched in the preset database, and the accuracy of the thermal runaway detection of the battery pack is improved.
Based on the first embodiment of the battery pack thermal runaway detection device, a second embodiment of the battery pack thermal runaway detection device is provided.
In this embodiment, the obtaining module 10 is further configured to obtain cell parameters of a plurality of sample cells during an extrusion test process; when the cell parameters meet the thermal runaway condition, acquiring the current deformation quantity of the corresponding sample cell; and constructing a preset database according to the cell information of the sample cells and the current deformation quantity.
The obtaining module 10 is further configured to determine a model of each sample electric core according to the electric core information of the multiple sample electric cores; determining the average deformation quantity of sample battery cores of the same model according to the model and the current deformation quantity; and determining a deformation threshold value according to the average deformation and a preset safety factor, and constructing a preset database according to the deformation threshold value and the model.
The obtaining module 10 is further configured to determine whether the temperature rise rate is greater than or equal to a preset rate; if so, judging that the corresponding sample cell is out of thermal runaway when the voltage drop is greater than a preset voltage drop and/or the highest temperature is greater than a preset temperature; when the sample electric core is out of control due to heat, acquiring the current deformation quantity of the sample electric core; the cell parameters comprise voltage drop, the highest temperature of a cell monitoring point and the temperature rise rate of the cell monitoring point.
The matching module 20 is further configured to determine a battery cell model according to the battery cell information of the battery pack to be tested; and matching a target deformation quantity in a preset database according to the battery cell model.
The detecting module 30 is further configured to determine whether the deformation amount is greater than the target deformation amount; and if so, judging that the thermal runaway of the battery pack to be tested occurs.
The detection module 30 is further configured to obtain an extrusion direction for performing an extrusion test on the battery pack to be tested; and carrying out structural optimization on the battery pack to be tested according to the extrusion direction.
Other embodiments or specific implementation manners of the battery pack thermal runaway detection device of the invention can refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., a rom/ram, a magnetic disk, an optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method for detecting thermal runaway of a battery pack, the method comprising:
obtaining the deformation amount of the battery pack to be tested after extrusion testing;
matching a target deformation quantity in a preset database according to the cell information of the battery pack to be tested;
and detecting whether the battery pack to be detected is out of thermal runaway or not according to the deformation quantity and the target deformation quantity.
2. The method of claim 1, wherein before obtaining the deformation amount of the battery pack to be tested after the extrusion test, the method further comprises:
acquiring cell parameters of a plurality of sample cells in an extrusion test process;
when the cell parameters meet the thermal runaway condition, acquiring the current deformation quantity of the corresponding sample cell;
and constructing a preset database according to the cell information of the plurality of sample cells and the current deformation.
3. The method of claim 2, wherein the constructing a preset database from the cell information of the plurality of sample cells and the current deformation amount comprises:
determining the model of each sample electric core according to the electric core information of the plurality of sample electric cores;
determining the average deformation amount of sample battery cores of the same model according to the model and the current deformation amount;
and determining a deformation threshold value according to the average deformation and a preset safety coefficient, and constructing a preset database according to the deformation threshold value and the model.
4. The method of claim 2, wherein the cell parameters include a voltage drop, a maximum temperature of a cell monitoring point, and a rate of temperature rise of a cell monitoring point;
when the cell parameter meets the thermal runaway condition, acquiring a current deformation amount of a corresponding sample cell, including:
judging whether the temperature rise rate is greater than or equal to a preset rate or not;
if so, judging that the corresponding sample battery core is out of thermal runaway when the voltage drop is greater than a preset voltage drop and/or the highest temperature is greater than a preset temperature;
and when the sample battery cell is out of control due to heat, acquiring the current deformation quantity of the sample battery cell.
5. The method of any one of claims 1 to 4, wherein the matching a target deformation quantity in a preset database according to the cell information of the battery pack to be tested comprises:
determining the model of the battery cell according to the battery cell information of the battery pack to be tested;
and matching a target deformation quantity in a preset database according to the battery cell model.
6. The method as claimed in claim 5, wherein the detecting whether the thermal runaway of the battery pack under test occurs according to the deformation amount and the target deformation amount comprises:
judging whether the deformation quantity is larger than the target deformation quantity or not;
and if so, judging that the thermal runaway of the battery pack to be tested occurs.
7. The method of claim 5, wherein after detecting whether the thermal runaway of the battery pack under test occurs according to the deformation quantity and the target deformation quantity, the method further comprises:
acquiring the extrusion direction of the battery pack to be tested in the extrusion test;
and carrying out structural optimization on the battery pack to be tested according to the extrusion direction.
8. A battery pack thermal runaway detection device, the device comprising:
the acquisition module is used for acquiring the deformation quantity of the battery pack to be tested after extrusion test;
the matching module is used for matching a target deformation quantity in a preset database according to the electric core information of the battery pack to be tested;
and the detection module is used for detecting whether the thermal runaway of the battery pack to be detected occurs according to the deformation quantity and the target deformation quantity.
9. A battery pack thermal runaway detection apparatus, the apparatus comprising: a memory, a processor, and a battery pack thermal runaway detection program stored on the memory and executable on the processor, the battery pack thermal runaway detection program configured to implement the steps of the battery pack thermal runaway detection method of any of claims 1-7.
10. A storage medium having a battery pack thermal runaway detection program stored thereon, the program when executed by a processor implementing the steps of the battery pack thermal runaway detection method according to any one of claims 1 to 7.
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| CN116400226A (en) * | 2023-06-05 | 2023-07-07 | 宁德时代新能源科技股份有限公司 | Battery performance evaluation method and device and battery performance evaluation equipment |
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| CN116400226A (en) * | 2023-06-05 | 2023-07-07 | 宁德时代新能源科技股份有限公司 | Battery performance evaluation method and device and battery performance evaluation equipment |
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