CN115000549B - Battery module analysis method, device and electronic equipment - Google Patents
Battery module analysis method, device and electronic equipment Download PDFInfo
- Publication number
- CN115000549B CN115000549B CN202210651546.8A CN202210651546A CN115000549B CN 115000549 B CN115000549 B CN 115000549B CN 202210651546 A CN202210651546 A CN 202210651546A CN 115000549 B CN115000549 B CN 115000549B
- Authority
- CN
- China
- Prior art keywords
- bulge
- battery module
- target
- cell
- force
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/44—Methods for charging or discharging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Chemical & Material Sciences (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Manufacturing & Machinery (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Battery Mounting, Suspending (AREA)
- Secondary Cells (AREA)
Abstract
本发明提供了一种电池模组的分析方法、装置及电子设备，包括：通过目标鼓胀预测模型预测电池模组对应的目标鼓胀力；基于所述目标鼓胀力对所述电池模组进行鼓胀仿真，以从所述电池模组包含的电芯中确定目标鼓胀电芯；根据所述目标鼓胀电芯确定所述电池模组对应的鼓胀分析结果。本发明可以显著降低对电池模组内的鼓胀情况进行分析时所需的数据量，还可以显著提高分析效率。
The present invention provides a battery module analysis method, device and electronic device, including: predicting a target swelling force corresponding to a battery module through a target swelling prediction model; performing swelling simulation on the battery module based on the target swelling force to determine a target swelling cell from cells included in the battery module; and determining a swelling analysis result corresponding to the battery module according to the target swelling cell. The present invention can significantly reduce the amount of data required for analyzing swelling conditions in a battery module, and can also significantly improve analysis efficiency.
Description
Technical Field
The present invention relates to the field of battery technologies, and in particular, to a method and an apparatus for analyzing a battery module, and an electronic device.
Background
In the process of charging or discharging the battery module, the battery cell in the battery module may generate corresponding chemical gas when performing chemical reaction of charging and discharging, so that the battery cell generates certain swelling deformation, and external swelling force exists, and the swelling force of the battery cell has a certain influence on the structure of the battery module. The related art proposes to carry out the actual measurement through electric core bulge force detecting system to the generated bulge force of electric core when taking place bulge deformation, utilizes electric core bulge force detecting system to carry out bulge analysis to battery module, not only needs to measure a large amount of bulge force data, still has the lower problem of measurement efficiency moreover.
Disclosure of Invention
Accordingly, the present invention is directed to a method and an apparatus for analyzing a battery module, and an electronic device, which can significantly reduce the amount of data required for analyzing the swelling in the battery module, and can significantly improve the analysis efficiency.
In a first aspect, an embodiment of the invention provides an analysis method of a battery module, which comprises the steps of predicting a target bulge force corresponding to the battery module through a target bulge prediction model, performing bulge simulation on the battery module based on the target bulge force to determine a target bulge cell from cells contained in the battery module, and determining a bulge analysis result corresponding to the battery module according to the target bulge cell.
In one embodiment, before the target bulge force corresponding to the battery module is predicted through the target bulge prediction model, the method further comprises the steps of obtaining bulge actual measurement data corresponding to the battery module, wherein the bulge actual measurement data are obtained by performing a cyclic expansion test on the battery module in a specified environment, and fitting model parameters of an initial bulge model according to the bulge actual measurement data to obtain the target bulge prediction model.
In one embodiment, the method for predicting the target bulge force corresponding to the battery module through the target bulge prediction model comprises the steps of obtaining the designated cycle number corresponding to the battery module and predicting the target bulge force corresponding to the battery module through the target bulge prediction model based on the designated cycle number.
In one embodiment, the performing of the bulge simulation on the battery module based on the target bulge force to determine a target bulge cell from the cells contained in the battery module includes performing the bulge simulation on the battery module based on the relative position of each cell in the battery module and the target bulge force to obtain a bulge deformation corresponding to each cell, and determining a target bulge cell from the cells contained in the battery module according to the bulge deformation corresponding to each cell.
In one embodiment, the determination of the bulge analysis result corresponding to the battery module according to the target bulge cell includes determining an acting force applied by the target bulge cell to a designated part in the battery module according to the target bulge force, calculating a ratio of a stress threshold corresponding to the designated part to the acting force, and determining that the bulge analysis result corresponding to the battery module is abnormal if the ratio is smaller than a preset safety coefficient.
In one embodiment, the determining the bulge analysis result corresponding to the battery module according to the target bulge cell further includes calculating a distance value between the target bulge cell and a water cooling plate in the battery module based on a bulge deformation amount corresponding to the target bulge cell, and determining that the bulge analysis result corresponding to the battery module is abnormal if the distance value is greater than or equal to an original thickness value of a heat conduction structure in the battery module, wherein the heat conduction structure is arranged between the target bulge cell and the water cooling plate.
In one embodiment, the determining the bulge analysis result corresponding to the battery module according to the target bulge cell further includes determining that the bulge analysis result corresponding to the battery module is abnormal if the bulge deformation corresponding to the target bulge cell is greater than or equal to the bulge structure length of the aluminum row in the battery module.
In a second aspect, the embodiment of the invention also provides an analysis device of the battery module, which comprises a bulge force prediction module, a battery cell determination module and a bulge analysis module, wherein the bulge force prediction module is used for predicting target bulge force corresponding to the battery module through a pre-configured target bulge prediction model, the battery cell determination module is used for performing bulge simulation on the battery module based on the target bulge force so as to determine a target bulge battery cell from battery cells contained in the battery module, and the bulge analysis module is used for determining a bulge analysis result corresponding to the battery module according to the target bulge battery cell.
In a third aspect, an embodiment of the present invention further provides an electronic device comprising a processor and a memory storing computer-executable instructions executable by the processor to implement the method of any one of the first aspects.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions which, when invoked and executed by a processor, cause the processor to implement the method of any one of the first aspects.
According to the analysis method, the analysis device and the electronic equipment for the battery module, the target bulge force corresponding to the battery module is predicted through the target bulge prediction model, bulge simulation is conducted on the battery module based on the target bulge force, so that the target bulge cell is determined from the cells contained in the battery module, and then the bulge analysis result corresponding to the battery module is determined according to the target bulge cell. According to the method, the target bulge force corresponding to the battery module can be predicted by using the target bulge prediction model, so that the target bulge cell is obtained by performing bulge simulation on the battery module based on the target bulge force, and a bulge analysis result can be obtained according to the target bulge cell.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of an analysis method of a battery module according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a battery module according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a capacity retention curve according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a bulge force curve provided by an embodiment of the present invention;
fig. 5 is a schematic structural view of another battery module according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a cell bulge deformation according to an embodiment of the present invention;
Fig. 7 is a schematic diagram of another cell bulge deformation according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of a force applied to a designated part according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of another designated part force provided by an embodiment of the present invention;
FIG. 10 is a schematic illustration of another designated part force provided by an embodiment of the present invention;
FIG. 11 is a schematic cross-sectional view of a weld area provided by an embodiment of the present invention;
fig. 12 is a schematic structural view of another battery module according to an embodiment of the present invention;
Fig. 13 is a schematic structural view of another battery module according to an embodiment of the present invention;
fig. 14 is a schematic structural view of another battery module according to an embodiment of the present invention;
Fig. 15 is a schematic structural diagram of an aluminum busbar according to an embodiment of the present invention;
Fig. 16 is a schematic diagram of an internal structure of a battery cell according to an embodiment of the present invention;
FIG. 17 is a schematic illustration of an electrolyte infiltration provided in an embodiment of the present invention;
FIG. 18 is a schematic view of a diaphragm aperture according to an embodiment of the present invention;
Fig. 19 is a schematic structural diagram of an analysis device for a battery module according to an embodiment of the present invention;
fig. 20 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described in conjunction with the embodiments, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
At present, the prior art not only needs to measure a large amount of bulge force data, but also has the problem of lower measurement efficiency, and based on the method, the device and the electronic equipment for analyzing the battery module, the invention can remarkably reduce the data amount required for analyzing the bulge condition in the battery module and remarkably improve the analysis efficiency.
For the convenience of understanding the present embodiment, first, a detailed description will be given of an analysis method of a battery module disclosed in the embodiment of the present invention, referring to a flow chart of an analysis method of a battery module shown in fig. 1, the method mainly includes the following steps S102 to S106:
Step S102, predicting the target bulge force corresponding to the battery module through the target bulge prediction model. The target inflation prediction model may be input as the number of cycles and output as the inflation force corresponding to the number of cycles, and in one embodiment, a plurality of cycles may be input to determine the maximum inflation force from the inflation forces corresponding to each cycle, and the maximum inflation force may be used as the target inflation force.
And step S104, performing bulge simulation on the battery module based on the target bulge force so as to determine a target bulge cell from the cells contained in the battery module. In one embodiment, the battery module is a simulation model of the battery module, not a real battery module, and the respective expansion deformation amount of each cell in the simulation model in the target expansion force state is determined, so that the target expansion cell is determined from each cell based on the expansion deformation amount.
And S106, determining a bulge analysis result corresponding to the battery module according to the target bulge cell. The bulge analysis result is used for representing whether the battery module is normal or abnormal in the target fault force state. In one embodiment, whether the designated parts in the battery module are cracked, whether the heat conduction structure meets the thermal management requirement, whether the aluminum row meets the buffering requirement and the like can be detected according to the target bulge cell, so that a corresponding bulge analysis result is obtained.
According to the analysis method of the battery module, the target bulge force corresponding to the battery module can be predicted by using the target bulge prediction model, so that the target bulge cell is obtained by performing bulge simulation on the battery module based on the target bulge force, and a bulge analysis result can be obtained according to the target bulge cell.
In order to facilitate understanding the foregoing target bulge prediction model, the embodiment of the present invention further provides an implementation manner for establishing the target bulge prediction model, which is specifically:
(1) And obtaining bulge actual measurement data corresponding to the battery module. The bulge actual measurement data are obtained by performing a cyclic bulge test on the battery module in a specified environment. In practical application, referring to the schematic structural view of a battery module shown in fig. 2, fig. 2 illustrates that the battery module includes a rectangular gasket and a winding core, the rectangular gasket only presses down a part of the winding core through a battery core shell, and the rectangular gasket is stressed by a battery core shell. The above-mentioned bulge actual measurement data include except that the material actual parameter of rolling up the heart, and actual parameter can include the actual measurement bulge force that circulation number and every circulation number correspond again, and bulge actual measurement data still includes obtaining the core actual measurement elastic modulus in addition.
(2) And fitting model parameters of the initial bulge model according to bulge actual measurement data to obtain a target bulge prediction model. In one embodiment, an initial bulge prediction model can be established by an Arrhenius equation, and the effect of cell bulge force is simulated by using a temperature rising method, so that model parameters of the initial bulge prediction model are calibrated, and a required target bulge prediction model can be obtained. In specific implementation, the expansion force is 16000N as a target, the thermal expansion coefficient is adjusted according to the actual measurement elastic modulus of the winding core, in addition, the worst situations such as tolerance, the maximum state of the battery core or the minimum state of the battery core are considered, simulation is carried out, wen Sheng t is adjusted to a proper value, the expansion force calculated through simulation is equal to the actual measurement expansion force, the actual measurement expansion force corresponding to the cycle times and each cycle time is input under the simulation working condition, and the model parameters of the initial expansion model are fitted to obtain a formula for predicting the expansion force in the target expansion prediction model. In another embodiment, the capacity retention rate may be further determined by the swelling force born by the core portion at a certain number of cycles, so that the formula for predicting the capacity retention rate in the target swelling prediction model is fitted according to the capacity retention rate and the number of cycles, and the capacity retention rate may be obtained by calculating the product of the capacity of the battery cell and the health of the battery cell, assuming that the swelling force born by the core portion at the nth cycle is 16000N, determining that the health of the battery cell is 70% soh, for example.
For example, assuming an ambient temperature of 45 ℃ and an average cell temperature of 49.2 ℃ at the time of simulation, the target bulge prediction model is as follows:
Cap.=(100-0.9971*x-0.4555+11.01)/100;
Wherein cap is the capacity retention, force is the predicted bulge Force, and x is the number of specified cycles. Based on the target bulge prediction model, the embodiment of the invention also provides a capacity retention curve schematic diagram shown in fig. 3 and a bulge force curve schematic diagram shown in fig. 4.
On the basis of the above embodiment, when the target bulge force corresponding to the battery module is predicted by the target bulge prediction model, the specified cycle number corresponding to the battery module may be obtained, and the target bulge force corresponding to the battery module may be predicted based on the specified cycle number by the target bulge prediction model. For example, when the number of cycles x=3554 is specified, the capacity retention rate is 70.53% and the target swelling force is 1579.22kgf, i.e., 15476.356N, can be determined based on the above-described target swelling prediction model.
For the foregoing step S104, the embodiment of the present invention further provides an implementation manner of performing a bulge simulation on the battery module based on the target bulge force to determine the target bulge cell from the cells included in the battery module, which is described in the following steps 1 to 2:
And step 1, performing bulge simulation on the battery module based on the relative position and the target bulge force of each battery cell in the battery module to obtain the bulge deformation corresponding to each battery cell. The relative positions comprise the relative positions between the battery cells and the end plates, the relative positions between the battery cells and the back-shaped gaskets. For example, referring to the schematic structural diagram of another battery module shown in fig. 5, the battery module includes 12 cells, and simulation analysis is performed based on the above-mentioned target swelling force, and different swelling deformations will occur due to different relative positions of each cell, such as the schematic diagram of one cell swelling deformation shown in fig. 6 and the schematic diagram of another cell swelling deformation shown in fig. 7. For easy understanding, taking fig. 7 as an example to illustrate the cell bulge deformation, there will be 3 types of deformation after the cell bulge in the battery module, such as No. 1 cell has no bulge space and is extruded by No. 2 cells, no. 2 cells extrude No. 1 cells and No. 3 cells, no. 3 cells are extruded by No. 2 cells, and the bulge deformation corresponding to each cell is measured.
And 2, determining a target bulge cell from the cells contained in the battery module according to the bulge deformation corresponding to each cell. In one embodiment, the target bulge cells may be selected in order of the bulge deformation amount from large to small, such as the cell number 8 with the largest bulge deformation amount of 0.14mm, and the cell number 8 is determined as the target bulge cell.
In another embodiment, the target bulge cell may also be determined according to the type of the bulge deformation of the cell, such as the cell 1, the cell 2, and the cell 3 described above are respectively used as the target bulge cell.
For the foregoing step S106, embodiments of the present invention further provide some implementations of determining the bulge analysis result corresponding to the battery module according to the target bulge cell, see the following modes one to three:
The method comprises the steps of judging whether a designated part is cracked according to a target bulge cell, specifically, (1) determining acting force of the target bulge cell on the designated part of a battery module according to the target bulge force, (2) calculating the ratio of a stress threshold value corresponding to the designated part to the acting force, (3) determining that the battery module is abnormal according to the bulge analysis result corresponding to the battery module if the ratio is smaller than a preset safety coefficient, and (4) determining that the battery module is normal according to the bulge analysis result corresponding to the battery module if the ratio is larger than or equal to the preset safety coefficient.
The specified components can include a battery cell shell, a battery cell welding line, an end plate, a side plate welding line, an aluminum row, a battery shell, a shell welding line and the like. The stress threshold may be the maximum strength or tensile strength that the given component can withstand, and the preset safety factor may be set to 1.1 or 1.2.
Taking a battery cell shell and a battery cell welding seam as an example, the acting force of the No. 1 battery cell applied to the battery shell and the battery cell welding seam, the acting force of the No. 2 battery cell applied to the battery shell and the battery cell welding seam and the acting force of the No. 3 battery cell applied to the battery shell and the battery cell welding seam are respectively determined, and assuming that the maximum strength of the battery cell shell can be born to be 168Mp, and the maximum strength of the battery cell upper cover welding seam (namely the battery cell welding seam) can be born to be 117.6Mp. Referring to a schematic diagram of stress of a designated component shown in fig. 8, taking the acting force of the No. 1 cell applied to the battery shell as an example, simulation determines that the maximum acting force of the No. 1 cell applied to the battery shell is 132.4Mpa, determines that the ratio of the maximum intensity bearable by the battery shell to the maximum acting force is equal to 1.27, uses the ratio as a simulation safety coefficient, determines that the simulation safety coefficient is greater than the preset safety coefficient, and determines that the battery shell cannot crack. Similarly, based on fig. 8, the three battery cells are stressed differently, but the strength of the battery cell shell and the strength of the battery cell weld joint meet the requirements, the battery cell shell cannot crack, and the battery module is normal.
Taking an end plate, a side plate welding line, an aluminum row, a battery shell and a shell welding line as examples, the tensile strength of the end plate is 280MPa, the tensile strength of the side plate is 305MPa, the tensile strength of the side plate welding line is 196MPa, the tensile strength of the aluminum row is 88.3MPa, the tensile strength of a battery can is 168MPa, and the tensile strength of a battery can bead is 117.6MPa. The first simulation condition comprises (1) when part tolerance and assembly deviation take intermediate values, the strength of the battery module meets the requirement of maximum expansion force, and the safety coefficient standard is determined to be more than or equal to 1.2, (2) the compression amount of the rectangular gasket (1.37 mm), (3) the compression area of the rectangular gasket (1896.8 mm 2), (4) the maximum swelling force of 70% SOH (16000N), and (5) the length of a welding seam (75 mm). For example, referring to the schematic diagram of another stress of the designated part shown in fig. 9, under the first simulation condition, it is determined that the stress of the end plate is 223.1MPa, the simulation safety coefficient is 1.25, the stress of the side plate is 197.9MPa, the simulation safety coefficient is 1.54, the welding seam stress is 137MPa, the simulation safety coefficient is 1.43, the aluminum row stress is 56.28MPa, the simulation safety coefficient is 1.57, the battery case stress is 132.4MPa, the simulation safety coefficient is 1.27, the case welding seam stress is 94.17, and the simulation safety coefficient is 1.25. In summary, each specified part will not crack under the first simulation condition, and the battery module is normal.
Taking end plates, side plate welding seams, aluminum rows, battery shells and shell welding seams as examples, wherein the second simulation conditions comprise (1) module strength, worst conditions and maximum expansion force meeting requirements, and the safety coefficient standard is more than or equal to 1.1; (2) maximum compression of the back-shaped gasket (1.143 mm); the exemplary embodiment of the present invention is a method for manufacturing a hybrid battery pack, comprising (3) a minimum compression area (1654.72 mm 2)) of the gasket, (4) a maximum soh bulge force (16000N) of 70% and (5) a minimum length (73 mm) of the weld bead, (5) a schematic diagram of the stress of another specified component shown in fig. 10, wherein the end plate stress is 239Mpa, the simulation safety factor is 1.17, the side plate stress is 222Mpa, the simulation safety factor is 1.37, the weld stress is 145Mpa, the simulation safety factor is 1.35, the aluminum vent stress is 64.7Mpa, the simulation safety factor is 1.36, the battery case stress is 151Mpa, the simulation safety factor is 1.11, the case weld stress is 106.9Mpa, the simulation safety factor is 1.10. It should be noted that the aluminum vent and the cell weld region can be simulated for aluminum vent weld deformation, such as a schematic diagram of the section of the region of the weld bead shown in fig. 11, the initial weld area s=40.4±9mm2, the conductive vent weld area is reduced to 31.3122, the deformation delta=4-0864.088, and the welding tolerance of the second specified component is not normally met.
And secondly, judging whether the heat conduction structure meets the thermal management requirement according to the target bulge cell. The method comprises the steps of (1) calculating a distance value between a target bulge cell and a water cooling plate in a battery module based on the bulge deformation corresponding to the target bulge cell, and (2) determining that a bulge analysis result corresponding to the battery module is abnormal if the distance value is greater than or equal to an original thickness value of a heat conduction structure in the battery module, wherein the heat conduction structure is arranged between the target bulge cell and the water cooling plate. In practical application, the heat conducting structure in the battery module can adopt a heat conducting pad, and the water cooling plate can adopt a rigid water cooling plate or an elastic water cooling plate.
Taking a rigid water cooling plate as an example, the thickness of the heat conducting pad should be filled with the gap between the water cooling plate and the bottom of the battery cell. Referring to the schematic structure of another battery module shown in fig. 12, fig. 12 illustrates that the height difference between the bottom of the end plate and the battery cell is 1.65mm, and referring to the schematic structure of another battery module shown in fig. 13, the cumulative tolerance from the bottom of the battery cell to the surface of the water-cooled plate is determined to be 0.6mm according to the bottom tolerance (+ -0.4), the water-cooled plate flatness (+ -0.5) and the end plate bottom angle flatness (+ -0.1) of the battery module using the following cumulative tolerance formula:
In addition, the deformation of the bottom of the battery cell under the bulge working condition is 0.14mm, the thickness tolerance of the heat conduction pad is +/-0.1 mm, and the original thickness value of the heat conduction pad is 2.5mm. The distance value between the target bulging battery cell and the water cooling plate in the battery module can be calculated according to the parameters and is 1.65mm+0.6mm+0.14mm+0.1=2.49 mm, the original thickness of the heat conduction pad is larger than the distance value, the gap between the water cooling plate and the bottom of the battery cell can be filled by the heat conduction pad, the heat conduction pad meets the heat management requirement, and the battery module is normal.
Taking an elastic water cooling plate as an example, the thickness of the heat conducting pad should be filled with the gap between the water cooling plate and the bottom of the battery cell. Referring to the structural schematic diagram of another battery module shown in fig. 14, according to the bottom tolerance (+ -0.4) of the battery module and the flatness (+ -0.5) of the water cooling plate, the limit tolerance from the bottom of the battery cell to the surface of the water cooling plate is determined to be 0.9mm by calculation tolerance calculation, in addition, the deformation of the bulge working condition of the bottom of the battery cell is 0.14mm, the thickness tolerance of the heat conducting pad is + -0.1 mm, and the thickness value of the heat conducting pad is 1.3mm. The distance value between the target bulging battery cell and the water cooling plate in the battery module can be calculated according to the parameters, namely, 0.9mm+0.14mm+0.1=1.14 mm, the original thickness of the heat conduction pad is larger than the distance value, the heat conduction pad is determined to fill the gap between the water cooling plate and the bottom of the battery cell, the heat conduction pad meets the thermal management requirement, and the battery module is normal.
And thirdly, judging whether the aluminum row meets the buffering requirement according to the target bulge cell. In one embodiment, if the bulge deformation amount corresponding to the target bulge cell is greater than or equal to the length of the bulge preventing structure of the aluminum row in the battery module, it may be determined that the bulge analysis result corresponding to the battery module is abnormal. Referring to a schematic structural diagram of an aluminum row shown in fig. 15, the aluminum row provided by the embodiment of the invention is provided with an anti-bulge structure, namely a buffer arc, the maximum allowable extension amount of the buffer arc is 6.3mm, and the size of the buffer arc is 4.4mm when the buffer arc is not extended, so that the buffer arc of the aluminum row can absorb the bulge size of a battery cell, the maximum absorption amount is 6.3-4.4=1.9 mm, and the maximum deformation amount of a battery cell tab is 0.787mm, namely the bulge deformation amount is smaller than the maximum absorption amount, so that the aluminum row can be determined to meet the buffer requirement, and the battery module is normal.
In practical application, the influence of the swelling force of the battery core on the cycle life of the battery module can be analyzed through the ion flow of the battery core, referring to a schematic diagram of the internal structure of the battery core shown in fig. 16 and a schematic diagram of the electrolyte infiltration shown in fig. 17, along with the increase of the cycle times and the swelling force, the electrolyte infiltration is insufficient, the ion concentration is reduced, the electrochemical reaction rate is reduced, the electrochemical impedance is increased, and the service life of the battery module is influenced. In addition, referring to a schematic diagram of a membrane hole shown in fig. 18, the influence of the bulge force on the membrane hole is determined, specifically, after the membrane is pressed, the membrane hole is contracted, the ion channel is contracted, the ion transmission rate is reduced, the ohmic resistance is increased, and the service life of the battery module is influenced.
For the method for analyzing a battery module provided in the foregoing embodiment, an embodiment of the present invention provides an analyzing device for a battery module, referring to a schematic structural diagram of the analyzing device for a battery module shown in fig. 19, the device mainly includes the following parts:
the bulge force prediction module 1902 is configured to predict a target bulge force corresponding to the battery module through a pre-configured target bulge prediction model;
a cell determination module 1904, configured to perform a bulge simulation on the battery module based on the target bulge force, so as to determine a target bulge cell from the cells included in the battery module;
And a bulge analysis module 1906, configured to determine a bulge analysis result corresponding to the battery module according to the target bulge cell.
According to the analysis device for the battery module, provided by the embodiment of the invention, the target bulge force corresponding to the battery module can be predicted by using the target bulge prediction model, so that the target bulge cell is obtained by performing bulge simulation on the battery module based on the target bulge force, and the bulge analysis result can be obtained according to the target bulge cell.
In one embodiment, the device further comprises a model building module, wherein the model building module is used for obtaining the bulge actual measurement data corresponding to the battery module, the bulge actual measurement data are obtained by performing a cyclic bulge test on the battery module in a specified environment, and the model parameters of the initial bulge model are fitted according to the bulge actual measurement data to obtain the target bulge prediction model.
In one embodiment, the bulge force prediction module 1902 is further configured to obtain a specified cycle number corresponding to the battery module, and predict, based on the specified cycle number, a target bulge force corresponding to the battery module through a target bulge prediction model.
In one embodiment, the cell determination module 1904 is further configured to perform a bulge simulation on the battery module based on the relative position and the target bulge force of each cell in the battery module, to obtain a bulge deformation corresponding to each cell, and determine the target bulge cell from the cells included in the battery module according to the bulge deformation corresponding to each cell.
In one embodiment, the bulge analysis module 1906 is further configured to determine, according to the target bulge force, a force applied by the target bulge cell to the specified component in the battery module, calculate a ratio of a stress threshold corresponding to the specified component to the force, and determine that the bulge analysis result corresponding to the battery module is abnormal if the ratio is less than a preset safety factor.
In one embodiment, the bulge analysis module 1906 is further configured to calculate a distance value between the target bulge cell and the water-cooled plate in the battery module based on the bulge deformation corresponding to the target bulge cell, and determine that the bulge analysis corresponding to the battery module is abnormal if the distance value is greater than or equal to an original thickness value of a heat conduction structure in the battery module, where the heat conduction structure is disposed between the target bulge cell and the water-cooled plate.
In one embodiment, the bulge analysis module 1906 is further configured to determine that the bulge analysis result corresponding to the battery module is abnormal if the bulge deformation corresponding to the target bulge cell is greater than or equal to the anti-bulge structural length of the aluminum row in the battery module.
The device provided by the embodiment of the present invention has the same implementation principle and technical effects as those of the foregoing method embodiment, and for the sake of brevity, reference may be made to the corresponding content in the foregoing method embodiment where the device embodiment is not mentioned.
The embodiment of the invention provides electronic equipment, in particular to the electronic equipment, which comprises a processor and a storage device, wherein the storage device is stored with a computer program which, when being executed by the processor, executes the method according to any one of the embodiments.
Fig. 20 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device 100 includes a processor 200, a memory 201, a bus 202, and a communication interface 203, where the processor 200, the communication interface 203, and the memory 201 are connected through the bus 202, and the processor 200 is configured to execute executable modules, such as computer programs, stored in the memory 201.
The memory 201 may include a high-speed random access memory (RAM, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at least one other network element is implemented via at least one communication interface 203 (which may be wired or wireless), and may use the internet, a wide area network, a local network, a metropolitan area network, etc.
Bus 202 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 20, but not only one bus or type of bus.
The memory 201 is configured to store a program, and the processor 200 executes the program after receiving an execution instruction, and a method executed by the apparatus for flow defining disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 200 or implemented by the processor 200.
The processor 200 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in the processor 200 or by instructions in the form of software. The processor 200 may be a general-purpose processor, including a central Processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), a digital signal processor (DIGITAL SIGNAL Processing, DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable GATE ARRAY (FPGA), a Programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 201, and the processor 200 reads the information in the memory 201, and in combination with its hardware, performs the steps of the above method.
The computer program product of the readable storage medium provided by the embodiment of the present invention includes a computer readable storage medium storing a program code, where the program code includes instructions for executing the method described in the foregoing method embodiment, and the specific implementation may refer to the foregoing method embodiment and will not be described herein.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. The storage medium includes a U disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, an optical disk, or other various media capable of storing program codes.
It should be noted that the foregoing embodiments are merely illustrative embodiments of the present invention, and not restrictive, and the scope of the invention is not limited to the embodiments, and although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that any modification, variation or substitution of some of the technical features of the embodiments described in the foregoing embodiments may be easily contemplated within the scope of the present invention, and the spirit and scope of the technical solutions of the embodiments do not depart from the spirit and scope of the embodiments of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An analysis method of a battery module, comprising:
predicting the target bulge force corresponding to the battery module through a target bulge prediction model;
Performing inflation simulation on the battery module based on the target inflation force to determine a target inflation cell from cells contained in the battery module;
Determining a bulge analysis result corresponding to the battery module according to the target bulge cell;
The target bulge prediction model is a cycle number-bulge force prediction model, the target bulge force is the maximum bulge force, the target bulge cell is the cell with the maximum bulge deformation or the cell with the specific deformation, and the bulge analysis result is whether the designated part cracks or whether the heat conduction structure meets the thermal management requirement or whether the aluminum row meets the buffering requirement.
2. The method of claim 1, further comprising, prior to predicting the target bulge force for the battery module by the target bulge prediction model:
the method comprises the steps of obtaining bulge actual measurement data corresponding to a battery module, wherein the bulge actual measurement data are obtained by performing cyclic expansion test on the battery module in a specified environment;
and fitting model parameters of the initial bulge model according to the bulge actual measurement data to obtain a target bulge prediction model.
3. The method according to claim 2, wherein predicting the target bulge force corresponding to the battery module by the target bulge prediction model includes:
And acquiring the designated cycle times corresponding to the battery module, and predicting the target bulge force corresponding to the battery module based on the designated cycle times through the target bulge prediction model.
4. The method of claim 1, wherein the performing a bulge simulation on the battery module based on the target bulge force to determine a target bulge cell from cells contained in the battery module comprises:
Based on the relative position of each electric core in the battery module and the target bulge force, performing bulge simulation on the battery module to obtain a bulge deformation corresponding to each electric core;
and determining a target bulge cell from the cells contained in the battery module according to the bulge deformation corresponding to each cell.
5. The method of claim 1, wherein the determining, according to the target bulge cell, a bulge analysis result corresponding to the battery module includes:
determining the acting force exerted by the target bulge cell on a designated part of the battery module according to the target bulge force;
calculating the ratio of the stress threshold value corresponding to the designated part to the acting force;
and if the ratio is smaller than a preset safety coefficient, determining that the bulge analysis result corresponding to the battery module is abnormal.
6. The method of claim 1, wherein the determining the bulge analysis result corresponding to the battery module according to the target bulge cell further comprises:
Calculating a distance value between the target bulge cell and a water cooling plate in the battery module based on the bulge deformation corresponding to the target bulge cell;
And if the distance value is larger than or equal to the original thickness value of the heat conducting structure in the battery module, determining that the bulge analysis result corresponding to the battery module is abnormal, wherein the heat conducting structure is arranged between the target bulge cell and the water cooling plate.
7. The method of claim 1, wherein the determining the bulge analysis result corresponding to the battery module according to the target bulge cell further comprises:
if the bulge deformation corresponding to the target bulge cell is greater than or equal to the bulge preventing structure length of the aluminum row in the battery module, determining that the bulge analysis result corresponding to the battery module is abnormal.
8. An analysis device of a battery module, comprising:
the bulge force prediction module is used for predicting the target bulge force corresponding to the battery module through a pre-configured target bulge prediction model;
The battery cell determining module is used for performing bulge simulation on the battery module based on the target bulge force so as to determine a target bulge battery cell from battery cells contained in the battery module;
The bulge analysis module is used for determining a bulge analysis result corresponding to the battery module according to the target bulge cell;
The target bulge prediction model is a cycle number-bulge force prediction model, the target bulge force is the maximum bulge force, the target bulge cell is the cell with the maximum bulge deformation or the cell with the specific deformation, and the bulge analysis result is whether the designated part cracks or whether the heat conduction structure meets the thermal management requirement or whether the aluminum row meets the buffering requirement.
9. An electronic device comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method of any one of claims 1 to 7.
10. A computer readable storage medium storing computer executable instructions which, when invoked and executed by a processor, cause the processor to implement the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210651546.8A CN115000549B (en) | 2022-06-09 | 2022-06-09 | Battery module analysis method, device and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210651546.8A CN115000549B (en) | 2022-06-09 | 2022-06-09 | Battery module analysis method, device and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115000549A CN115000549A (en) | 2022-09-02 |
| CN115000549B true CN115000549B (en) | 2025-01-28 |
Family
ID=83033457
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210651546.8A Active CN115000549B (en) | 2022-06-09 | 2022-06-09 | Battery module analysis method, device and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115000549B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119939954B (en) * | 2025-04-03 | 2025-07-18 | 江苏正力新能电池技术股份有限公司 | Weld reliability evaluation method and device and computer equipment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110633496A (en) * | 2019-08-13 | 2019-12-31 | 中国科学技术大学 | A Method for Determining Thermal Stress and Temperature During Discharge of Li-ion Batteries Based on Thermal-Mechanical Coupled Model |
| CN113139304A (en) * | 2020-01-17 | 2021-07-20 | 北京新能源汽车股份有限公司 | Method and device for calculating expansion force of battery module and control equipment |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8513919B2 (en) * | 2010-07-28 | 2013-08-20 | Apple Inc. | Swelling management in batteries for portable electronic devices |
| CN103399276B (en) * | 2013-07-25 | 2016-01-20 | 哈尔滨工业大学 | A kind of capacity of lithium ion battery is estimated and cycles left life-span prediction method |
| JP6583034B2 (en) * | 2016-02-15 | 2019-10-02 | 株式会社豊田自動織機 | Power storage device and battery module control method |
| KR102308168B1 (en) * | 2017-07-06 | 2021-10-01 | 주식회사 엘지에너지솔루션 | Battery module, battery pack including the same, and vehicle including the same |
| CN112198444B (en) * | 2020-10-10 | 2022-07-26 | 联动天翼新能源有限公司 | Method for predicting cycle life of lithium ion battery based on expansion degree of pole piece |
| CN112749497B (en) * | 2020-12-22 | 2022-12-16 | 厦门海辰储能科技股份有限公司 | Method for predicting expansion force of lithium ion battery module or battery pack |
| CN113486285B (en) * | 2021-06-01 | 2024-07-23 | 北京海博思创科技股份有限公司 | Method and device for estimating expansion force of battery module |
| CN113536636B (en) * | 2021-07-19 | 2022-09-20 | 中国第一汽车股份有限公司 | Method and device for testing structural strength of power battery module and storage medium |
| CN113985293B (en) * | 2021-10-26 | 2023-12-12 | 远景动力技术(江苏)有限公司 | Lithium ion battery expansion rate prediction method and device, electronic equipment and storage medium |
-
2022
- 2022-06-09 CN CN202210651546.8A patent/CN115000549B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110633496A (en) * | 2019-08-13 | 2019-12-31 | 中国科学技术大学 | A Method for Determining Thermal Stress and Temperature During Discharge of Li-ion Batteries Based on Thermal-Mechanical Coupled Model |
| CN113139304A (en) * | 2020-01-17 | 2021-07-20 | 北京新能源汽车股份有限公司 | Method and device for calculating expansion force of battery module and control equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115000549A (en) | 2022-09-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102778050B1 (en) | Method and device for determining battery capacity, management system and storage medium | |
| JP6982445B2 (en) | Battery evaluation device, battery control device, battery evaluation method, battery evaluation program, control circuit and power storage system. | |
| CN105122073B (en) | Battery status decision maker | |
| CN115000549B (en) | Battery module analysis method, device and electronic equipment | |
| JP2015060761A (en) | Deterioration diagnostic system and deterioration diagnostic method of secondary battery | |
| CN114035096B (en) | SOH evaluation method for electrochemical device, electronic equipment and battery system | |
| CN112749497B (en) | Method for predicting expansion force of lithium ion battery module or battery pack | |
| CN113505481B (en) | Method and device for determining shell seal failure pressure and electronic equipment | |
| CN116482541A (en) | Method, device, and computer-readable storage medium for predicting battery cycle life | |
| CN115079020A (en) | Battery failure detection method, system, device storage medium, and vehicle | |
| CN113532728B (en) | Method and device for determining opening pressure value of explosion-proof valve in battery pack | |
| CN116068406A (en) | A battery simulation test method, device, electronic equipment and storage medium | |
| CN114902466A (en) | Device and method for checking battery swelling | |
| KR20220125486A (en) | Secondary battery electrical characteristics meter reading device and meter reading method | |
| CN112329272A (en) | Remaining life fitting prediction method for comprehensive photovoltaic module degradation and life data | |
| CN110068409A (en) | Lithium battery stress prediction method and apparatus | |
| CN115980613A (en) | Battery monitoring method and device, computer equipment and storage medium | |
| CN117629465A (en) | Battery abnormality detection method, device, electronic equipment, vehicle and storage medium | |
| CN111220850A (en) | Battery diaphragm resistance value measuring method and device | |
| CN116106750B (en) | A method, device and electronic equipment for battery temperature measurement point identification and abnormality detection | |
| EP4539198A1 (en) | Deformation analysis device for secondary battery and method thereof | |
| JP7666143B2 (en) | Battery pack inspection method | |
| CN119247172B (en) | Three-electrode testing device and testing method for secondary battery cells | |
| CN113899639B (en) | Battery hardness detection method, device, computer equipment and storage medium | |
| CN119108670A (en) | Battery cover detection method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |