CN116680889A - Simulation model establishment method for predicting charging performance of safety battery cell - Google Patents
Simulation model establishment method for predicting charging performance of safety battery cell Download PDFInfo
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- 238000007600 charging Methods 0.000 title claims abstract description 113
- 238000004088 simulation Methods 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 title claims abstract description 38
- 239000000463 material Substances 0.000 claims abstract description 27
- 239000011248 coating agent Substances 0.000 claims abstract description 25
- 238000000576 coating method Methods 0.000 claims abstract description 25
- 238000012360 testing method Methods 0.000 claims abstract description 24
- 238000004364 calculation method Methods 0.000 claims abstract description 11
- 239000007787 solid Substances 0.000 claims abstract description 8
- 239000007773 negative electrode material Substances 0.000 claims description 17
- 239000007774 positive electrode material Substances 0.000 claims description 17
- 239000007790 solid phase Substances 0.000 claims description 12
- 239000002245 particle Substances 0.000 claims description 8
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 claims description 4
- 239000011149 active material Substances 0.000 claims description 4
- 229910001416 lithium ion Inorganic materials 0.000 claims description 4
- 239000010410 layer Substances 0.000 description 6
- 238000010277 constant-current charging Methods 0.000 description 5
- 230000001351 cycling effect Effects 0.000 description 3
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 2
- 239000011247 coating layer Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 229910052744 lithium Inorganic materials 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010280 constant potential charging Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000020169 heat generation Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 230000003446 memory effect Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C60/00—Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation
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- 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
Abstract
The invention belongs to the technical field of batteries, and particularly relates to a simulation model building method for predicting the charging performance of a safe battery cell, which comprises the following steps of S1: providing a safety battery cell as a modeling basis, wherein the safety battery cell comprises a positive plate, a negative plate and a diaphragm; s2, drawing an equivalent strip three-dimensional geometric model according to the parameters of the safety battery cell; 3. inputting material properties of a main material into the strip three-dimensional geometric model constructed in the step S2, creating an empty material aiming at the safety base coat and inputting basic properties; s4, giving a physical field to the model cell and charging the model cell, and calculating charging performance based on software; s5, comparing the calculation result of the S4 with the experimental test result of the solid battery cell, and adjusting the parameters of the safety bottom coating to enable the charging performance of the safety bottom coating to be consistent with the experimental test result. The strip three-dimensional geometric model with the safety prime coat, which is built by the invention, can accurately predict the performance of the safety battery cell.
Description
Technical Field
The invention belongs to the technical field of batteries, and particularly relates to a simulation model building method for predicting the charging performance of a safe battery cell.
Background
The lithium battery is widely applied due to the characteristics of high energy density, good cycle performance, no memory effect and the like, and the safe battery cell is gradually favored by people for improving the safety of the lithium battery. However, customers generally require that the charging performance of the safety battery cell can be evaluated before the project is opened, such as charging speed, charging temperature rise after cycling, and the like.
However, the existing electrochemical simulation method is only suitable for modeling evaluation of the conventional battery cell, and is not suitable for modeling evaluation of the safety battery cell because the existing electrochemical simulation method cannot effectively divide the definition of the physical field of the safety coating and the material properties of the safety coating.
Disclosure of Invention
The invention aims at: aiming at the defects of the prior art, a simulation model building method for predicting the charging performance of a safe battery cell is provided, the built long-strip three-dimensional geometric model with the safe prime coat solves the problem that the safe prime coat cannot be described in a physical field, and the accuracy of the charging performance of the predicted battery cell and the accuracy of the model are improved.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a simulation model building method for predicting the charging performance of a safe battery cell comprises the following steps:
s1: providing a safety battery cell as a modeling basis, wherein the safety battery cell comprises a positive plate, a negative plate and a diaphragm, the positive plate comprises a positive current collector, a safety base coat and a positive active material coating which are sequentially distributed along the thickness direction, and the negative plate comprises a negative current collector and a negative active material coating which are sequentially distributed along the thickness direction;
s2, drawing an equivalent strip three-dimensional geometric model according to the thickness, the width and the length of each structural layer of the safety battery cell;
s3, inputting material properties of a main material into the strip three-dimensional geometric model constructed in the S2, creating an empty material aiming at the safety base coat, inputting basic properties of the safety base coat, and constructing a model cell;
s4, classifying the positive electrode current collector, the negative electrode current collector and the safety base coat of the model cell into a whole, applying an electrode physical field to the whole, respectively applying a porous electrode physical field to the positive electrode active material coating and the negative electrode active material coating of the model cell, applying a diaphragm physical field to the diaphragm of the model cell, charging the model cell, and calculating the charging performance based on software with an electrochemical simulation module;
s5, comparing the calculation result of the S4 with the experimental test result of the solid battery cell, and adjusting the parameters of the safety bottom coating in the model battery cell to enable the charging performance of the model battery cell to be consistent with the experimental test result of the solid battery cell.
Those skilled in the art will appreciate that the safety primer refers to a coating applied between the positive electrode active coating and the positive electrode current collector for improving safety (e.g., preventing excessive heat generation from internal short circuits, improving needle penetration rate, etc.).
As an improvement of the simulation model building method for predicting the charging performance of the safety battery cell, in the step S2, the basic attribute of the safety primer layer includes conductivity.
As an improvement of the simulation model establishing method for predicting the charging performance of the safe battery cell, the material properties of the main material comprise solid phase volume fraction of the positive electrode active material, solid phase volume fraction of the negative electrode active material, particle radius of the positive electrode active material, particle radius of the negative electrode active material and charging initial state of the battery cell, wherein the solid phase volume fraction is the percentage of the volume of the active material in the pole piece to the total volume of the pole piece, and the charging initial state is the lithium ion concentration in the positive and negative pole pieces at the beginning of charging.
As an improvement of the simulation model establishing method for predicting the charging performance of the safe battery cell, the positive electrode plate and the negative electrode plate are respectively provided with a positive electrode tab and a negative electrode tab, when the model battery cell is charged, charging current is applied to the tail end of the positive electrode tab, and the tail end of the negative electrode tab is grounded.
As an improvement of the simulation model establishment method for predicting the charging performance of the safety battery cell, the method for comparing the calculation result with the experimental test result of the entity battery cell comprises the following steps: and drawing a broken line relation graph of voltage and time of experimental test data and simulation data and a broken line relation graph of temperature and time.
As an improvement of the simulation model establishment method for predicting the charging performance of the safety battery cell, the charging performance comprises a charging speed.
As an improvement of the simulation model building method for predicting the charging performance of the safety battery cell, the conforming standard of the step S5 includes: the error between the simulation result of the charging speed and the experimental test result is not more than 5%.
As an improvement of the simulation model building method for predicting the charging performance of the safety battery cell, the charging performance comprises charging temperature rise.
As an improvement of the simulation model building method for predicting the charging performance of the safety battery cell, the conforming standard of the step S5 includes: the error between the simulation result of temperature rise and the experimental test result is not more than 2 ℃.
As an improvement of the simulation model establishment method for predicting the charging performance of the safe battery cell, the charging method of the model battery cell comprises the following steps: according to the provided charging system, a partial differential equation of the charging current is set, and the charging process of the battery cell is controlled through an event.
Preferably, the partial differential equation is: cc_ch1× (I1-Icell) +cc_ch2× (I2-Icell) +cc_ch3× (I3-Icell) +cv_ch3× (E3-Ecell) =0; wherein, I1, I2 and I3 are all preset currents, E3 is preset voltage, icell is battery charging current, ecell is battery voltage, CC_CH1, CC_CH2, CC_CH3 and CV_CH3 are all control symbols, and the control symbols are 0 or 1.
Preferably, the specific operation of the event control is: when the voltage reaches the target voltage, setting the corresponding control symbol to be 1, and setting other control symbols to be 0, wherein the corresponding control symbol is a constant current charging stage corresponding to the preset current until the next target voltage is charged.
The invention has the beneficial effects that: the strip three-dimensional geometric model with the safety prime coat, which is built by the invention, integrates the safety prime coat and the positive and negative current collectors and endows the safety prime coat with a physical field, so that the problem that the safety prime coat cannot be described in the physical field is solved, the accuracy of the strip three-dimensional geometric model is improved, and the accuracy of predicting the charging performance of the safety battery cell is further improved; according to the method, the physical field of the battery cell with the safety prime coat is arranged, and the experimental result is compared to adjust the parameters of the safety prime coat material, so that the strip three-dimensional geometric model with high accuracy can be obtained, only the parameters of the safety prime coat material are considered in the whole process, the workload of adjusting the parameters is greatly reduced, the geometric structure of the safety battery cell is reduced, the accuracy of the strip three-dimensional geometric model for predicting the charging performance of the safety battery cell is improved, and the charging performance of the battery cell with high accuracy is further obtained.
Drawings
Features, advantages, and technical effects of exemplary embodiments of the present invention will be described below with reference to the accompanying drawings.
FIG. 1 is a schematic view of a three-dimensional geometric model of a strip with a thickness direction enlarged 2000 times.
Fig. 2 is an expanded view at a in fig. 1.
Fig. 3 is a graph showing comparison of simulation broken lines of the charging speed of the safety cell in example 1.
Fig. 4 is a comparison chart of simulated broken lines of the charging temperature rise of the safety battery cell in example 1.
Fig. 5 is a plot of the simulation results of the temperature rise of the cell charge after cycling the safety cell in example 1.
Wherein reference numerals are as follows:
1-positive electrode current collector; 2-a safety primer layer; 3-a positive electrode active material coating layer; 4-a membrane; 5-a negative electrode active material coating layer; 6-negative electrode current collector; 7-a positive plate; 71-a positive electrode tab; 8-a negative plate; 81-negative electrode tab.
Detailed Description
Certain terms are used throughout the description and claims to refer to particular components. Those of skill in the art will appreciate that a hardware manufacturer may refer to the same component by different names. The description and claims do not take the form of an element differentiated by name, but rather by functionality. As used throughout the specification and claims, the word "comprise" is an open-ended term, and thus should be interpreted to mean "include, but not limited to. By "substantially" is meant that within an acceptable error range, a person skilled in the art can solve the technical problem within a certain error range, substantially achieving the technical effect. Furthermore, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "horizontal", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
The present invention will be described in further detail below with reference to fig. 1 to 5 and the specific embodiments, but is not limited thereto.
As shown in fig. 1-2, a simulation model building method for predicting the charging performance of a safety battery cell includes the following steps:
s1: providing a safety battery cell as a modeling basis, wherein the safety battery cell comprises a positive plate 7, a negative plate 8 and a diaphragm 4, the positive plate 7 comprises a positive current collector 1, a safety base coat 2 and a positive active material coating 3 which are sequentially distributed along the thickness direction, and the negative plate 8 comprises a negative current collector 6 and a negative active material coating 5 which are sequentially distributed along the thickness direction;
s2, drawing an equivalent strip three-dimensional geometric model according to the thickness, the width and the length of each structural layer of the safety battery cell;
s3, inputting the material properties of the main material into the strip three-dimensional geometric model constructed in the S2, creating an empty material aiming at the safety base coat 2, inputting the basic properties of the safety base coat 2, and constructing a model cell;
s4, the positive electrode current collector 1, the negative electrode current collector 6 and the safety base coat 2 are integrated, an electrode physical field is applied to the whole, a porous electrode physical field is respectively applied to the positive electrode active material coating 3 and the negative electrode active material coating 5, a diaphragm physical field is applied to the diaphragm 4, a model cell is charged, and the charging performance is calculated based on software with an electrochemical simulation module;
s5, comparing the calculation result of the S4 with the experimental test result of the solid battery cell, and adjusting the parameters of the safety base coat 2 in the model battery cell to enable the charging performance of the model battery cell to be consistent with the experimental test result of the solid battery cell.
In the present embodiment, the software used for calculating the model is siemens, and other software with an electrochemical simulation module may be used, and is not specifically limited.
In step S2, the basic properties of the safety undercoat layer 2 include conductivity, the material properties of the host material include solid phase volume fraction of the positive electrode active material, solid phase volume fraction of the negative electrode active material, particle radius of the positive electrode active material, particle radius of the negative electrode active material, and initial state of charge of the battery cell, the solid phase volume fraction is a percentage of the volume of the active material in the electrode sheet to the total volume of the electrode sheet, and the initial state of charge is lithium ion concentration in the positive and negative electrode sheets at the beginning of charge; the parameters can describe dynamics and thermodynamic states of the anode and the cathode in a physical field, and are convenient for subsequent calculation and analysis.
Wherein, positive plate 7 and negative plate 8 are provided with positive tab 71 and negative tab 81 respectively, and when charging the model cell, charging current is applied to the terminal of positive tab 71, and the terminal of negative tab 81 is grounded.
The calculation in step S4 is to set a partial differential equation of the charging current according to the provided charging system, and the charging process of the battery cell is controlled by the event, wherein the partial differential equation is set to cc_ch1× (I1-Icell) +cc_ch2× (I2-Icell) +cc_ch3× (I3-Icell) +cv_ch3× (E3-Ecell) =0; wherein, I1, I2 and I3 are all preset currents, E3 is preset voltage, icell is battery charging current, ecell is battery voltage, CC_CH1, CC_CH2, CC_CH3 and CV_CH3 are all control symbols, and the control symbols are 0 or 1. When the voltage reaches the target voltage, setting the corresponding controller to be 1, and setting other controllers to be 0, and then, performing constant current charging at the corresponding stage.
In step S5, the manner of comparing the calculation result with the experimental test result of the physical cell is as follows: drawing a broken line relation diagram of voltage and time of actual measurement data and simulation data and a broken line relation diagram of temperature and time, wherein the charging performance comprises a charging speed, the error between a simulation result of the charging speed and an experimental test result is not more than 5%, the charging performance comprises a charging temperature rise, and the error between the simulation result of the temperature rise and the experimental test result is not more than 2 ℃; the accuracy of the model can be guaranteed in the range, and the accuracy of predicting the charging performance of the safe battery cell is improved. According to the method, the strip three-dimensional geometric model of the battery cell with the safety base coat 2 and the correction model of the step S5 are set in the step S2, so that the strip three-dimensional geometric model with high accuracy can be obtained, only the material parameters of the safety base coat 2 are considered in the whole process, the workload of parameter adjustment is greatly reduced, the geometric structure of the safety battery cell is reduced, the accuracy of the strip three-dimensional geometric model for predicting the charging performance of the safety battery cell is improved, and the charging performance of the battery cell with high accuracy is further obtained.
Example 1
As shown in fig. 1-5, the simulation of the charging temperature rise of the safety cell 456693 after cycling under the 1.5C charging system includes the following steps:
s1, modeling according to a 456693 safety battery cell, wherein the 456693 safety battery cell comprises a positive plate 7, a negative plate 8 and a diaphragm 4, wherein the positive plate 7 comprises a positive current collector 1, a safety base coat 2 and a positive active material coating 3 which are sequentially distributed along the thickness direction, the negative plate 8 comprises a negative current collector 6 and a negative active material coating 5 which are sequentially distributed along the thickness direction, and an equivalent strip three-dimensional geometric model is drawn according to the thickness, the width and the length of each structural layer of the 456693 safety battery cell;
s2, inputting material properties of a main material into the strip three-dimensional geometric model constructed in the S1, creating an empty material aiming at the safety base coat 2, and inputting basic properties of the safety base coat 2; the basic attribute of the safety bottom coating 2 is conductivity, the material attribute of the main material is the solid phase volume fraction of the positive electrode active material, the solid phase volume fraction of the negative electrode active material, the particle radius of the positive electrode active material, the particle radius of the negative electrode active material and the initial charging state of the battery cell, wherein the solid phase volume fraction is the percentage of the volume of the active material in the pole piece to the total volume of the pole piece, and the initial charging state is the lithium ion concentration in the positive and negative pole pieces at the beginning of charging; the parameters can describe dynamics and thermodynamic states of the anode and the cathode in a physical field, so that subsequent calculation and analysis are facilitated;
s3, classifying the positive electrode current collector 1, the negative electrode current collector 6 and the safety base coat 2 in the model cell into a whole, applying an electrode physical field to the whole, respectively applying a porous electrode physical field to the positive electrode active material coating 3 and the negative electrode active material coating 5 of the model cell, applying a diaphragm physical field to the diaphragm 4 of the model cell, and charging the model cell, wherein the positive electrode sheet 7 and the negative electrode sheet 8 are respectively provided with a positive electrode tab 71 and a negative electrode tab 81, when the model cell is charged, the tail end of the negative electrode tab 81 is grounded, charging current is applied to the tail end of the positive electrode tab 71, and then calculating by using software with an electrochemical simulation module to obtain the charging speed and the charging temperature rise of the model cell;
specifically, the charging method of the model cell comprises the following steps: according to the provided charging system, a partial differential equation of the charging current is set, and the charging process of the battery cell is controlled through an event. Wherein, the charging system is: constant current charging of 1.5C to 4.25V; constant current charging to 4.45V at 1.2C; constant-current and constant-voltage charging is carried out to 4.48V at the constant current of 0.8C, and the multiplying power is cut off to 0.19C; partial differential equation cc_ch1× (I1-Icell) +cc_ch2× (I2-Icell) +cc_ch3× (I3-Icell) +cv_ch3× (E3-Ecell) =0 for the charging current; wherein I1, I2 and I3 are respectively 1.5C, 1.2C and 0.8C, icll is battery charging current, E3 is 4.48V, ecell is battery voltage, and CC_CH1, CC_CH2, CC_CH3 and CV_CH3 are all control symbols; the event control process comprises the following steps: firstly, setting CC_CH1 as 1, and setting other control symbols as 0, and charging at constant current of 1.5C; when charging to 4.25V, setting CC_CH2 to 1, and setting other control symbols to 0, wherein constant current is 1.2C; when charging to 4.45V, setting CC_CH3 to 1, and setting other control symbols to 0, wherein constant current is charged at 0.8C; when charging to 4.48V, CV_CH3 is set to 1, the other control is set to 0, and the constant current is charged at 0.19C;
s4, comparing the simulation data (namely the charging speed and the charging temperature rise of the model cell) obtained by the calculation of S3 with experimental test results of fresh entity cells (namely brand new and unclogged cells), namely drawing a fold line relation graph (namely figure 3) of voltage and time of the experimental test data and the simulation data and a fold line relation graph (namely figure 4) of temperature and time, and adjusting parameters of a safety bottom coating in the model cell to enable the charging speed and the charging temperature rise of the model cell to be consistent with the experimental test results of the entity cells, wherein the consistent standards are as follows: the error between the charging speed of the model cell and the experimental test result of the physical cell is not more than 5%, and the error between the temperature rise of the model cell and the experimental test result of the physical cell is not more than 2 ℃.
S5, the corrected model is used for modifying the circulating concentration to predict the temperature rise after circulation, and a prediction result is obtained, as shown in FIG. 5.
As shown in fig. 3-5, it can be seen from the graph that the charging speed and the charging temperature rise in the fresh state can be accurately predicted by establishing the charging model of the safety battery cell; meanwhile, according to the law of increasing the internal resistance and the temperature after circulation, the charging temperature rise of the battery cell after circulation can be found to be 1.9 ℃ higher than that of a fresh solid battery cell, and the charging temperature rise accords with the actual law. 456693 the charging simulation precision of the safe battery cell is good, meanwhile, the predicted temperature rise after circulation accords with rules, and the model accuracy is high.
Variations and modifications of the above embodiments will occur to those skilled in the art to which the invention pertains from the foregoing disclosure and teachings. Therefore, the present invention is not limited to the above-described embodiments, but is intended to be capable of modification, substitution or variation in light thereof, which will be apparent to those skilled in the art in light of the present teachings. In addition, although specific terms are used in the present specification, these terms are for convenience of description only and do not limit the present invention in any way.
Claims (9)
1. A simulation model building method for predicting the charging performance of a safe battery cell is characterized by comprising the following steps:
s1: providing a safety battery cell as a modeling basis, wherein the safety battery cell comprises a positive plate (7), a negative plate (8) and a diaphragm (4), the positive plate (7) comprises a positive current collector (1), a safety base coat (2) and a positive active material coating (3) which are sequentially distributed along the thickness direction, and the negative plate (8) comprises a negative current collector (6) and a negative active material coating (5) which are sequentially distributed along the thickness direction;
s2, drawing an equivalent strip three-dimensional geometric model according to the thickness, the width and the length of each structural layer of the safety battery cell;
s3, inputting the material properties of a main material into the strip three-dimensional geometric model constructed in the S2, creating an empty material aiming at the safety base coat (2), inputting the basic properties of the safety base coat (2), and constructing a model cell;
s4, classifying the positive electrode current collector (1), the negative electrode current collector (6) and the safety base coat (2) of the model cell into a whole, applying an electrode physical field to the whole, respectively applying a porous electrode physical field to the positive electrode active material coating (3) and the negative electrode active material coating (5) of the model cell, applying a diaphragm physical field to the diaphragm (4) of the model cell, charging the model cell, and calculating the charging performance based on software with an electrochemical simulation module;
s5, comparing the calculation result of the S4 with the experimental test result of the solid battery cell, and adjusting the parameters of the safety base coat (2) in the model battery cell to enable the charging performance of the model battery cell to be consistent with the experimental test result of the solid battery cell.
2. Simulation model establishing method for predicting the charging performance of a safety cell according to claim 1, characterized in that the basic properties of the safety undercoating layer (2) comprise electrical conductivity.
3. The simulation model building method for predicting the charging performance of a safety battery cell according to claim 1, wherein the material properties of the main material include a solid phase volume fraction of a positive electrode active material, a solid phase volume fraction of a negative electrode active material, a particle radius of the positive electrode active material, a particle radius of the negative electrode active material, and a charging initial state of the battery cell, the solid phase volume fraction being a percentage of a volume of the active material in the electrode sheet to a total volume of the electrode sheet, and the charging initial state being a lithium ion concentration in the positive and negative electrode sheets at a start of charging.
4. The simulation model building method for predicting the charging performance of a safety battery cell according to claim 1, wherein the positive electrode tab (7) and the negative electrode tab (8) are respectively provided with a positive electrode tab (71) and a negative electrode tab (81), and when the model battery cell is charged, a charging current is applied to the end of the positive electrode tab (71), and the end of the negative electrode tab (81) is grounded.
5. The simulation model building method for predicting the charging performance of a safety battery cell according to claim 1, wherein the comparison between the calculation result and the experimental test result of the physical battery cell is as follows: and drawing a broken line relation graph of voltage and time of experimental test data and simulation data and a broken line relation graph of temperature and time.
6. The simulation model building method for predicting the charging performance of a safety battery cell according to claim 1, wherein the charging performance includes a charging speed.
7. The simulation model establishing method for predicting the charging performance of a safety battery cell as claimed in claim 6, wherein the conforming criterion of the step S5 comprises: the error between the simulation result of the charging speed and the experimental test result is not more than 5%.
8. The simulation model building method for predicting the charging performance of a safety battery cell according to claim 1 or 6, wherein the charging performance comprises a charging temperature rise.
9. The simulation model establishing method for predicting the charging performance of a safety battery cell according to claim 8, wherein the conforming criterion of step S5 comprises: the error between the simulation result of temperature rise and the experimental test result is not more than 2 ℃.
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