CN116381527A - Method and device for determining manufacturing parameters of battery negative electrode plate - Google Patents
Method and device for determining manufacturing parameters of battery negative electrode plate Download PDFInfo
- Publication number
- CN116381527A CN116381527A CN202310376430.2A CN202310376430A CN116381527A CN 116381527 A CN116381527 A CN 116381527A CN 202310376430 A CN202310376430 A CN 202310376430A CN 116381527 A CN116381527 A CN 116381527A
- Authority
- CN
- China
- Prior art keywords
- battery
- target
- density
- window
- difference value
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 37
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims abstract description 161
- 229910052744 lithium Inorganic materials 0.000 claims abstract description 161
- 238000001556 precipitation Methods 0.000 claims abstract description 156
- 238000005056 compaction Methods 0.000 claims abstract description 154
- 230000006870 function Effects 0.000 claims description 66
- 230000001419 dependent effect Effects 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 5
- 238000000926 separation method Methods 0.000 description 9
- 238000002474 experimental method Methods 0.000 description 8
- 239000011149 active material Substances 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 238000007599 discharging Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 4
- 229910001416 lithium ion Inorganic materials 0.000 description 4
- 238000000576 coating method Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 239000002245 particle Substances 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 239000011248 coating agent Substances 0.000 description 2
- 238000009830 intercalation Methods 0.000 description 2
- 230000002687 intercalation Effects 0.000 description 2
- 150000002500 ions Chemical class 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000002238 attenuated effect Effects 0.000 description 1
- 239000006227 byproduct Substances 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000009831 deintercalation Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000001764 infiltration Methods 0.000 description 1
- 230000008595 infiltration Effects 0.000 description 1
- 239000007773 negative electrode material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000007774 positive electrode material Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/3865—Arrangements for measuring battery or accumulator variables related to manufacture, e.g. testing after manufacture
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- 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
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Battery Electrode And Active Subsutance (AREA)
Abstract
The application provides a method and a device for determining manufacturing parameters of a battery negative electrode plate, wherein the method comprises the following steps: acquiring an actual lithium precipitation window, a reference compaction density and a reference surface density of a reference battery and a target lithium precipitation window of a target battery; acquiring a target surface density difference value and a target compaction density difference value of a reference battery and a target battery input by a user, a target surface density coefficient selected by the user in a surface density coefficient interval and a target compaction density coefficient selected in a compaction density coefficient interval; determining a predicted lithium precipitation window of the target battery according to the actual lithium precipitation window, the target surface density difference value, the target compaction density difference value, the target surface density coefficient and the target compaction density coefficient; if the difference value between the predicted lithium precipitation window and the target lithium precipitation window belongs to the preset lithium precipitation window difference value range, the difference value between the reference surface density and the target surface density is differentiated to obtain the target surface density of the target battery, and the difference value between the reference compacted density and the target compacted density is differentiated to obtain the target compacted density of the target battery.
Description
Technical Field
The application relates to the technical field of batteries, in particular to a method and a device for determining manufacturing parameters of a battery negative electrode plate.
Background
In the prior art, when a lithium ion battery manufacturing enterprise needs to develop a battery with a preset lithium analysis window, the compaction density and/or compaction density of each battery need to be changed, and a lithium analysis window experiment is performed on each battery. And observing whether lithium is separated from a negative pole piece of each battery after a lithium separation window experiment, so as to determine the compaction density and the surface density of the battery corresponding to the preset lithium separation window. The prior art wastes a large amount of batteries to determine the compaction density and the surface density of the battery corresponding to the preset lithium precipitation window, and the technical problems of high material cost and low efficiency are caused.
Disclosure of Invention
In view of this, the present application aims at providing at least a method and a device for determining manufacturing parameters of a negative electrode plate of a battery, wherein a predicted lithium-out window of the target battery is determined by an actual lithium-out window of the reference battery, a target surface density difference value and a target compaction density difference value between the reference battery and the target battery, which are input by a user, a target surface density coefficient and a target compaction density coefficient selected by the user, and if the difference value between the predicted lithium-out window and the target lithium-out window belongs to a preset lithium-out window difference range, the surface density and the compaction density of the negative electrode plate of the target battery are determined, so that the technical problems of excessively high cost and low efficiency caused by determining the surface density and the compaction density of the negative electrode plate of the battery corresponding to the preset lithium-out window through experiments in the prior art are solved, and the technical effects of saving cost and improving efficiency are achieved.
The application mainly comprises the following aspects:
in a first aspect, an embodiment of the present application provides a method for determining manufacturing parameters of a battery negative electrode tab, where the method includes: acquiring an actual lithium precipitation window of a reference battery, a reference compacted density and a reference surface density of a negative pole piece of the reference battery, and a target lithium precipitation window of a target battery; acquiring a target surface density difference value and a target compaction density difference value of the reference battery and the target battery, which are input by a user, a target surface density coefficient selected by the user in a surface density coefficient interval and a target compaction density coefficient selected in a compaction density coefficient interval; determining a predicted lithium precipitation window of the target battery according to the actual lithium precipitation window, the target surface density difference value, the target compaction density difference value, the target surface density coefficient and the target compaction density coefficient; determining whether the difference value between the predicted lithium-precipitation window and the target lithium-precipitation window belongs to a preset lithium-precipitation window difference value range; and if the difference value between the predicted lithium precipitation window and the target lithium precipitation window belongs to a preset lithium precipitation window difference value range, the reference surface density and the target surface density difference value are subjected to difference to obtain the target surface density of the target battery, and the reference compaction density and the target compaction density difference value are subjected to difference to obtain the target compaction density of the target battery.
Optionally, determining the predicted lithium-out window of the target battery according to the actual lithium-out window, the target surface density difference, the target compacted density difference, the target surface density coefficient, and the target compacted density coefficient includes:
calculating a predicted lithium analysis window of the target battery by the following formula:
Z m ＝Z o +a m ×ΔX+b m ×ΔY
in the above formula, Z m Refers to a predicted lithium-out window, Z, of a target battery o Refers to the actual lithium precipitation window, a, of a reference battery m Refers to the target surface density coefficient selected by the user, deltaX refers to the target surface density difference value, b m Refers to a user selected target compaction density coefficient, ΔY refers to the target compaction density differential.
Optionally, the area density coefficient interval is determined by: acquiring actual lithium precipitation windows of a plurality of batteries in a first battery pack; the manufacturing parameters of the positive electrode plate of each battery are the same, the battery capacity belongs to a preset capacity interval, and the surface densities of the negative electrode plates of each battery are different but the compaction densities are the same; randomly selecting a first battery from a plurality of batteries, and calculating the area density difference value between the first battery and each second battery except the first battery in the first battery group; performing data fitting according to the actual lithium precipitation window of the first battery, the difference value of the surface density corresponding to each second battery and the actual lithium precipitation window, and determining a fitting function corresponding to each second battery and the surface density coefficient of the first fitting function; the minimum value of the surface density coefficient in the first fitting function is taken as the lower limit value of the surface density coefficient interval, and the maximum value of the surface density coefficient in the first fitting function is taken as the upper limit value of the surface density coefficient interval.
Optionally, performing data fitting according to the actual lithium analysis window of the first battery, the difference value of the surface density corresponding to each second battery, and the actual lithium analysis window, and determining a first fitting function corresponding to each second battery and the surface density coefficient of the first fitting function, including: for each second battery, taking an actual lithium precipitation window corresponding to the second battery as a dependent variable, taking an area density difference value corresponding to the second battery as an independent variable, and taking the actual lithium precipitation window of the first battery as a constant to perform data fitting to obtain a first fitting function corresponding to each second battery; and taking the coefficient corresponding to the dependent variable in each first fitting function as the surface density coefficient of the first fitting function.
Optionally, the compacted density coefficient interval is described by: acquiring actual lithium precipitation windows of a plurality of batteries in a second battery pack; the manufacturing parameters of the positive electrode plate of each battery are the same, the battery capacity belongs to a preset capacity interval, and the surface density of the negative electrode plate of each battery is the same and the compaction density is different; randomly selecting a third battery from a plurality of batteries, and calculating a compaction density difference value between the third battery and each fourth battery except the third battery in the second battery group; performing data fitting according to the actual lithium precipitation window of the third battery, the compaction density difference value corresponding to each fourth battery and the actual lithium precipitation window, and determining a second fitting function corresponding to each fourth battery and a compaction density coefficient of the second fitting function; and taking the minimum value of the compaction density coefficient in the second fitting function as the lower limit value of the compaction density coefficient interval, and taking the maximum value of the compaction density coefficient in the second fitting function as the upper limit value of the compaction density coefficient interval.
Optionally, performing data fitting according to the actual lithium analysis window of the third battery, the compaction density difference value corresponding to each fourth battery and the actual lithium analysis window, and determining a second fitting function corresponding to each fourth battery and a compaction density coefficient of the second fitting function, including: for each fourth battery, taking an actual lithium precipitation window corresponding to the fourth battery as a dependent variable, taking a compaction density difference value corresponding to the fourth battery as an independent variable, and taking the actual lithium precipitation window of the third battery as a constant to perform data fitting to obtain a second fitting function corresponding to each fourth battery; and taking the coefficient corresponding to the dependent variable in each second fitting function as the compaction density coefficient of the second fitting function.
Optionally, after determining whether the difference value between the predicted lithium analysis window and the target lithium analysis window belongs to a preset lithium analysis window difference value range, the method further includes: if the difference value between the predicted lithium-precipitation window and the target lithium-precipitation window does not belong to the preset lithium-precipitation window difference value range, prompting a user to input the target surface density, the target compaction density, the target surface density coefficient and the target compaction density coefficient again.
In a second aspect, an embodiment of the present application further provides a device for determining a manufacturing parameter of a battery negative electrode plate, where the device includes: the first acquisition module is used for acquiring an actual lithium precipitation window of a reference battery, a reference compacted density and a reference surface density of a negative pole piece of the reference battery and a target lithium precipitation window of a target battery; the second acquisition module is used for acquiring a target surface density difference value and a target compaction density difference value of the reference battery and the target battery, which are input by a user, a target surface density coefficient selected by the user in a surface density coefficient interval and a target compaction density coefficient selected by the user in a compaction density coefficient interval; the first determining module is used for determining a predicted lithium-precipitating window of the target battery according to the actual lithium-precipitating window, the target surface density difference value, the target compaction density difference value, the target surface density coefficient and the target compaction density coefficient; the comparison module is used for determining whether the difference value between the predicted lithium precipitation window and the target lithium precipitation window belongs to a preset lithium precipitation window difference value range; and the second determining module is used for obtaining the target surface density of the target battery by differentiating the reference surface density and the target surface density difference if the difference value between the predicted lithium precipitation window and the target lithium precipitation window belongs to the preset lithium precipitation window difference value range, and obtaining the target compacted density of the target battery by differentiating the reference compacted density and the target compacted density difference value.
In a third aspect, embodiments of the present application further provide an electronic device, including: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is running, the machine readable instructions being executable by the processor to perform the steps of the method for determining a battery negative pole piece manufacturing parameter as described in the first aspect or any of the possible implementation manners of the first aspect.
In a fourth aspect, the embodiments of the present application further provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of determining the manufacturing parameters of the negative electrode tab of the battery described in the first aspect or any one of the possible implementation manners of the first aspect.
The embodiment of the application provides a method and a device for determining manufacturing parameters of a battery negative electrode plate, wherein the method comprises the following steps: acquiring an actual lithium precipitation window of a reference battery, a reference compacted density and a reference surface density of a negative pole piece of the reference battery, and a target lithium precipitation window of a target battery; acquiring a target surface density difference value and a target compaction density difference value of the reference battery and the target battery, which are input by a user, a target surface density coefficient selected by the user in a surface density coefficient interval and a target compaction density coefficient selected in a compaction density coefficient interval; determining a predicted lithium precipitation window of the target battery according to the actual lithium precipitation window, the target surface density difference value, the target compaction density difference value, the target surface density coefficient and the target compaction density coefficient; determining whether the difference value between the predicted lithium-precipitation window and the target lithium-precipitation window belongs to a preset lithium-precipitation window difference value range; and if the difference value between the predicted lithium precipitation window and the target lithium precipitation window belongs to a preset lithium precipitation window difference value range, the reference surface density and the target surface density difference value are subjected to difference to obtain the target surface density of the target battery, and the reference compaction density and the target compaction density difference value are subjected to difference to obtain the target compaction density of the target battery. The method comprises the steps of determining a predicted lithium-separating window of a target battery through an actual lithium-separating window of the reference battery, a target surface density difference value and a target compaction density difference value of the reference battery and the target battery, which are input by a user, a target surface density coefficient and a target compaction density coefficient selected by the user, and determining the surface density and the compaction density of a negative pole piece of the target battery if the difference value of the predicted lithium-separating window and the target lithium-separating window belongs to a preset lithium-separating window difference value range, so that the technical problems of overhigh cost and lower efficiency caused by determining the surface density and the compaction density of the negative pole piece of the battery corresponding to the preset lithium-separating window through experiments in the prior art are solved, and the technical effects of saving cost and improving efficiency are achieved.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 shows a flowchart of a method for determining manufacturing parameters of a battery negative electrode tab according to an embodiment of the present application.
Fig. 2 is a flowchart illustrating another method for determining manufacturing parameters of a battery negative electrode tab according to an embodiment of the present application.
Fig. 3 shows a functional block diagram of a device for determining manufacturing parameters of a battery negative electrode tab according to an embodiment of the present application.
Fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the accompanying drawings in the present application are only for the purpose of illustration and description, and are not intended to limit the protection scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this application, illustrates operations implemented according to some embodiments of the present application. It should be appreciated that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Moreover, one or more other operations may be added to the flow diagrams and one or more operations may be removed from the flow diagrams as directed by those skilled in the art.
In addition, the described embodiments are only some, but not all, of the embodiments of the present application. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
In the prior art, if a battery with a lithium-separating window being a predicted lithium-separating window is required to be manufactured, the surface density and the compaction density of a negative electrode plate of the battery need to be changed for a plurality of times, and the actual lithium-separating window of the battery after each change is determined through experiments. The prior art method requires a large amount of experiments, and has the technical problems of high material cost and low efficiency.
Based on the above, the embodiment of the application provides a determination of manufacturing parameters of a battery negative electrode plate, a predicted lithium-separating window of a target battery is determined through an actual lithium-separating window of a reference battery, a target surface density difference value and a target compaction density difference value of the reference battery and the target battery, which are input by a user, a target surface density coefficient and a target compaction density coefficient selected by the user, if the difference value of the predicted lithium-separating window and the target lithium-separating window belongs to a preset lithium-separating window difference value range, the surface density and the compaction density of the negative electrode plate of the target battery are determined, the technical problems that the surface density and the compaction density of the negative electrode plate of the battery corresponding to the preset lithium-separating window are required to be determined through experiments in the prior art, and the cost is too high and the efficiency is low are solved, and the technical effects of saving the cost and improving the efficiency are achieved. The method comprises the following steps:
Referring to fig. 1, fig. 1 is a flowchart of a method for determining manufacturing parameters of a battery negative electrode sheet according to an embodiment of the present application. As shown in fig. 1, the method for determining manufacturing parameters of a battery negative electrode plate provided in the embodiment of the application includes the following steps:
s101: and acquiring an actual lithium precipitation window of the reference battery, a reference compacted density and a reference surface density of a negative pole piece of the reference battery, and a target lithium precipitation window of the target battery.
The reference cell is a cell selected by the user and known in its compacted density and areal density of the negative electrode sheet. The reference compacted density refers to the compacted density of the reference cell, and the reference areal density refers to the areal density of the reference cell. Areal density refers to the mass of the pole piece coating per unit area. The compacted density is the ratio of the areal density per unit area to the thickness of the material.
The target lithium-out window of the target battery is known, that is to say, the compacted density and the areal density of the negative electrode tab of the target battery are determined from the target lithium-out window. Here, the positive electrode tab of the target battery is considered to be identical to the positive electrode tab of the reference battery.
S102: and acquiring a target surface density difference value and a target compaction density difference value of the reference battery and the target battery, which are input by a user, a target surface density coefficient selected by the user in a surface density coefficient interval and a target compaction density coefficient selected in a compaction density coefficient interval.
That is, the page displays the target area density difference configuration frame, the target compacted density difference configuration frame, the area density section display frame, the target area density coefficient configuration frame, the compacted density section display frame, and the target compacted density coefficient configuration frame. And taking the surface density difference between the reference battery and the target battery input by the user in the target surface density difference configuration box as a target surface density difference, and taking the compaction density difference between the reference battery and the target battery input by the user in the target compaction density difference configuration box as a target compaction density difference. And taking the surface density coefficient input by the user in the target surface density coefficient configuration frame as a target surface density coefficient, and taking the compaction density coefficient input by the user in the target compaction density coefficient configuration frame as a target compaction density coefficient.
Wherein the absolute value of the target compaction density difference falls within the interval [0,0.3]The unit is g/cm 3 。
The area density coefficient interval is determined by: acquiring actual lithium precipitation windows of a plurality of batteries in a first battery pack; the manufacturing parameters of the positive electrode plate of each battery are the same, the battery capacity belongs to a preset capacity interval, and the surface densities of the negative electrode plates of each battery are different but the compaction densities are the same; randomly selecting a first battery from a plurality of batteries, and calculating the area density difference value between the first battery and each second battery except the first battery in the first battery group; performing data fitting according to the actual lithium precipitation window of the first battery, the difference value of the surface density corresponding to each second battery and the actual lithium precipitation window, and determining a fitting function corresponding to each second battery and the surface density coefficient of the first fitting function; the minimum value of the surface density coefficient in the first fitting function is taken as the lower limit value of the surface density coefficient interval, and the maximum value of the surface density coefficient in the first fitting function is taken as the upper limit value of the surface density coefficient interval.
Performing data fitting according to the actual lithium analysis window of the first battery, the difference value of the surface density corresponding to each second battery and the actual lithium analysis window, and determining a first fitting function corresponding to each second battery and the surface density coefficient of the first fitting function, including: for each second battery, taking an actual lithium precipitation window corresponding to the second battery as a dependent variable, taking an area density difference value corresponding to the second battery as an independent variable, and taking the actual lithium precipitation window of the first battery as a constant to perform data fitting to obtain a first fitting function corresponding to each second battery; and taking the coefficient corresponding to the dependent variable in each first fitting function as the surface density coefficient of the first fitting function.
The first fitting function for each second cell is determined by the following formula:
Z 1,α ＝Z 1,1 +a 1,α ×(X 1,1 -X 1,α )+b 1,α ×(Y 1,1 -Y 1,α ) (1)
in the formula (1), Z 1,α Refers to the actual lithium precipitation window, Z, of the alpha second battery in the first battery pack 1,1 Refers to the actual lithium-separating window, a, of the first battery in the first battery pack 1,α Refers to the area density coefficient, X of a first fitting function corresponding to an alpha second battery in a first battery pack 1,1 Refers to the areal density, X, of the first cells in the first battery pack 1,α Refers to the areal density, b, of the alpha-th second cell in the first battery 1,α Refers to the compaction density coefficient, Y, of a first fitting function corresponding to an alpha second battery in a first battery pack 1,1 Refers to the compacted density, Y, of the first cells in the first battery pack 1,α Refers to the compacted density of the alpha second cell in the first battery.
Since the compacted density of the negative electrode tab of each cell in the first battery pack is the same, further (Y 1,1 -Y 1,α ) The value of (2) is 0. Further, the first fitting function corresponding to each second cell can be reduced to Z 1,α ＝Z 1,1 +α 1,α ×(X 1,1 -X 1,α )。
That is, the actual lithium analysis window and the area density of each cell in the first battery pack are acquired, one cell is randomly selected as a first cell among the plurality of cells in the first battery pack, and each cell except the first cell in the first battery pack is taken as a second cell. And calculating the difference value between the surface density of the first battery and the surface density of the second battery for each second battery, and taking the difference value as the corresponding surface density difference value of the second battery. And (3) for each second battery, bringing the actual lithium precipitation window corresponding to the second battery, the surface density difference value corresponding to the second battery and the actual lithium precipitation window of the first battery into a formula (1) to obtain a first fitting function corresponding to the second battery, thereby determining the surface density coefficient corresponding to the second battery.
That is, the minimum value of the area density coefficients corresponding to all the second cells of the first battery pack is set as the lower limit value of the area density coefficient section, and the maximum value of the area density coefficients corresponding to all the second cells of the first battery pack is set as the upper limit value of the area density coefficient section, thereby obtaining the area density coefficient section. The area density coefficient interval is generally [0.061538,0.076923].
At the same compacted density, the lower the areal density, the lower the mass thickness of the active on the corresponding pole piece. The thickness of the active material on the electrode sheet reflects the length of the intercalation and deintercalation path of lithium ions in the electrode sheet. For example, the thinner the pole piece design, the lower the path for lithium ions to escape between the positive and negative electrode active materials, which is manifested as a decrease in resistance and ion resistance, significantly improving the rapid charge performance. The more active materials on the pole piece, the larger the thickness of the corresponding active materials on the pole piece, the larger the paths of lithium ion extraction and intercalation are, and the electronic impedance and the ion impedance of the corresponding battery core are both increased, which is manifested in that the quick charge capacity of the battery is reduced. That is, the greater the areal density, the lower the lithium precipitation window of the battery within the preset range of areal density.
Wherein the upper limit value and the lower limit value of the preset range of the surface density are mainly limited by the process, and the value range of the surface density is [40, 100]The unit is g/m 2 . The surface density is lower than the lower limit value of the value range of the surface density, a large number of scratch particles can appear in the coating process of the pole piece, and the safety performance of the battery is affected; the surface density is larger than the value range of the surface density, and the pole piece is easy to crack in the baking process, so that the safety performance of the battery is also influenced.
The compaction density coefficient interval is described by: acquiring actual lithium precipitation windows of a plurality of batteries in a second battery pack; the manufacturing parameters of the positive electrode plate of each battery are the same, the battery capacity belongs to a preset capacity interval, and the surface density of the negative electrode plate of each battery is the same and the compaction density is different; randomly selecting a third battery from a plurality of batteries, and calculating a compaction density difference value between the third battery and each fourth battery except the third battery in the second battery group; performing data fitting according to the actual lithium precipitation window of the third battery, the compaction density difference value corresponding to each fourth battery and the actual lithium precipitation window, and determining a second fitting function corresponding to each fourth battery and a compaction density coefficient of the second fitting function; and taking the minimum value of the compaction density coefficient in the second fitting function as the lower limit value of the compaction density coefficient interval, and taking the maximum value of the compaction density coefficient in the second fitting function as the upper limit value of the compaction density coefficient interval.
Performing data fitting according to the actual lithium precipitation window of the third battery, the compaction density difference value corresponding to each fourth battery and the actual lithium precipitation window, and determining a second fitting function corresponding to each fourth battery and a compaction density coefficient of the second fitting function, wherein the data fitting comprises the following steps: for each fourth battery, taking an actual lithium precipitation window corresponding to the fourth battery as a dependent variable, taking a compaction density difference value corresponding to the fourth battery as an independent variable, and taking the actual lithium precipitation window of the third battery as a constant to perform data fitting to obtain a second fitting function corresponding to each fourth battery; and taking the coefficient corresponding to the dependent variable in each second fitting function as the compaction density coefficient of the second fitting function.
Determining a second fitting function corresponding to each fourth cell by the following formula:
Z 2,α ＝Z 2,3 +a 2,α ×(X 2,3 -X 2,α )+b 2,α ×(Y 2,3 -Y 2,α ) (2)
in the formula (2), Z 2,α Refers to the actual lithium precipitation window, Z, of the alpha fourth battery in the second battery pack 2,3 Refers to the actual lithium-separating window, a, of the third cell in the second cell group 2,α Refers to the first battery packThe surface density coefficient, X of the second fitting function corresponding to the alpha fourth batteries 2,3 Refers to the areal density, X, of the third cell in the second cell stack 2,α Refers to the areal density, b, of the alpha fourth cell in the second battery 2,α Refers to the compaction density coefficient, Y, of a second fitting function corresponding to an alpha fourth battery in the second battery pack 2,3 Refers to the compacted density, Y, of the third cell in the second cell stack 1,α Refers to the compacted density of the alpha fourth cell in the second battery.
Since the area density of the negative electrode tab of each cell in the second battery is the same, further (X 2,3 -X 2,α ) The value of (2) is 0. Further, the second fitting function corresponding to each fourth cell can be reduced to Z 2,α ＝Z 2,3 +b 2,α ×(Y 2,3 -Y 2,α )。
That is, the actual lithium analysis window and the compacted density of each cell in the second battery pack are obtained, one cell is randomly selected as the third cell among the plurality of cells in the second battery pack, and each cell except the third cell in the second battery pack is taken as the fourth cell. For each fourth cell, calculating the difference between the compacted density of the third cell and the compacted density of the fourth cell, and taking the difference as the corresponding compacted density difference of the fourth cell. And (3) for each fourth battery, bringing the actual lithium precipitation window corresponding to the fourth battery, the compaction density difference value corresponding to the fourth battery and the actual lithium precipitation window of the third battery into a formula (2) to obtain a second fitting function corresponding to the fourth battery, thereby determining the compaction density coefficient corresponding to the fourth battery.
That is, the minimum value of the compacted density coefficients corresponding to all the fourth cells of the second battery pack is set as the lower limit value of the compacted density coefficient section, and the maximum value of the compacted density coefficients corresponding to all the fourth cells of the second battery pack is set as the upper limit value of the compacted density coefficient section, thereby obtaining the compacted density coefficient section. Typically, the compaction density coefficient interval is typically [0.3,0.4].
Low applied active material per unit area also reduces the mass energy density and volume of the cellEnergy density. In order to increase the energy density of the battery, it is necessary to improve by increasing the compacted density of the active material of the electrode sheet. However, the too high compaction density of the active material on the pole piece can cause poor infiltration of the pole piece and the electrolyte, and cause serious reduction of the quick charge performance, namely reduction of the charge-discharge multiplying power (reduction of the lithium precipitation window of the battery). The greater the compacted density, the smaller the lithium evolution window. The compaction density is smaller than the lower limit value of the value range of the compaction density, so that the compaction and loosening between particles can be caused, the contact resistance is increased, and the lithium precipitation window is reduced; the compaction density exceeds the upper limit value of the value range of the compaction density, so that active particles on the pole piece can be crushed, the coating effect of the surface of the active material is damaged, the by-product is increased, and the performance of the battery cell is seriously attenuated. Further, the target density difference is typically in the range of [0,0.3 ] ]The unit is g/cm 3 。
The actual lithium evolution window for each cell is determined by: firstly, determining the battery capacity of the battery, wherein the battery capacity is generally about 117 ampere hours Ah, and if the battery does not belong to a preset capacity interval, removing the battery. And secondly, sequentially carrying out charging and discharging operations for the battery for preset times according to the sequence of the charging and discharging capacity multiplying power of the battery, checking the charging and discharging capacity multiplying power of each battery, and determining whether lithium precipitation occurs on a negative pole piece of the battery after carrying out full charge and discharging operations for the battery for preset times. That is, the battery is sequentially subjected to the full charge discharging operation for a preset number of times in the order of 1C, 1.5C, 2C, …. And thirdly, taking the charge and discharge capacity multiplying power of the battery with lithium precipitation as a lithium precipitation window of the battery. And if the lithium is determined to be separated out from the negative electrode plate of the battery after the battery is fully charged and discharged for the preset times according to the 3C, the lithium separation window of the battery is considered to be 3C.
S103: and determining a predicted lithium precipitation window of the target battery according to the actual lithium precipitation window, the target surface density difference value, the target compacted density difference value, the target surface density coefficient and the target compacted density coefficient.
The determining the predicted lithium-separating window of the target battery according to the actual lithium-separating window, the target surface density difference value, the target compacted density difference value, the target surface density coefficient and the target compacted density coefficient comprises the following steps:
calculating a predicted lithium analysis window of the target battery by the following formula:
Z m ＝Z o +a m ×ΔX+b m ×ΔY (3)
in the formula (3), Z m Refers to a predicted lithium-out window, Z, of a target battery o Refers to the actual lithium precipitation window, a, of a reference battery m Refers to the target areal density coefficient selected by the user, deltaX refers to the target areal density difference, b m Refers to a user selected target compaction density coefficient, and ΔY refers to a target compaction density difference.
S104: and determining whether the difference value between the predicted lithium-precipitation window and the target lithium-precipitation window belongs to a preset lithium-precipitation window difference value range.
That is, it is determined whether the difference between the predicted lithium-precipitation window and the target lithium-precipitation window falls within a preset lithium-precipitation window difference range. The preset lithium precipitation window difference range is set by a user.
After determining whether the difference between the predicted lithium-precipitation window and the target lithium-precipitation window belongs to the preset lithium-precipitation window difference range, the method further includes: if the difference value between the predicted lithium-precipitation window and the target lithium-precipitation window does not belong to the preset lithium-precipitation window difference value range, prompting a user to input the target surface density, the target compaction density, the target surface density coefficient and the target compaction density coefficient again.
S105: and the difference between the reference surface density and the target surface density is made to obtain the target surface density of the target battery, and the difference between the reference compacted density and the target compacted density is made to obtain the target compacted density of the target battery.
And if the difference value between the predicted lithium precipitation window and the target lithium precipitation window belongs to a preset lithium precipitation window difference value range, the reference surface density and the target surface density difference value are subjected to difference to obtain the target surface density of the target battery, and the reference compaction density and the target compaction density difference value are subjected to difference to obtain the target compaction density of the target battery.
That is, Δx=x o -X m ，X o To reference the areal density of the cell, X m The target surface density of the target battery is obtained by subtracting the target surface density difference value from the surface density of the reference battery. Δy=y o -Y m ，Y o To reference the compacted density of the cell, Y m The target compacted density of the target battery is obtained by subtracting the target compacted density difference from the compacted density of the reference battery.
Referring to fig. 2, fig. 2 is a flowchart of another method for determining manufacturing parameters of a battery negative electrode sheet according to an embodiment of the present application. As shown in fig. 2, the method for determining manufacturing parameters of a battery negative electrode plate provided in the embodiment of the application includes the following steps:
S201: and acquiring an actual lithium precipitation window of the reference battery, a reference compacted density and a reference surface density of a negative pole piece of the reference battery, and a target lithium precipitation window of the target battery.
S202: and acquiring a target area density difference value and a target compaction density difference value of the reference battery and the target battery which are input by a user.
S203: and determining the lower limit value of the predicted lithium precipitation window of the target battery according to the actual lithium precipitation window, the target surface density difference value and the target compaction density difference value of the reference battery and the target battery input by the user, the lower limit value of the surface density coefficient interval and the lower limit value of the compaction density coefficient interval.
That is, the actual lithium precipitation window, the target surface density difference value and the target compacted density difference value between the reference battery and the target battery input by the user, the lower limit value of the surface density coefficient interval and the lower limit value of the compacted density coefficient interval are substituted into the formula (3), so as to obtain the lower limit value of the predicted lithium precipitation window of the target battery.
S204: and determining the predicted lithium precipitation window upper limit value of the target battery according to the actual lithium precipitation window, the target surface density difference value and the target compaction density difference value of the reference battery and the target battery input by the user, the upper limit value of the surface density coefficient interval and the upper limit value of the compaction density coefficient interval.
That is, the actual lithium precipitation window, the target surface density difference value and the target compacted density difference value between the reference battery and the target battery input by the user, the upper limit value of the surface density coefficient interval and the upper limit value of the compacted density coefficient interval are substituted into the formula (3), so as to obtain the predicted lithium precipitation window upper limit value of the target battery.
S205: and determining whether the target lithium precipitation window belongs to a section corresponding to the lower limit value of the predicted lithium precipitation window and the upper limit value of the predicted lithium precipitation window.
That is, it is determined whether the target lithium-out window is greater than or equal to the predicted lithium-out window lower limit and less than or equal to the predicted lithium-out window upper limit. If the target lithium-out window is greater than or equal to the predicted lithium-out window lower limit and less than or equal to the predicted lithium-out window upper limit, step S206 is performed, and if the target lithium-out window is less than the predicted lithium-out window lower limit or greater than the predicted lithium-out window upper limit, the user is prompted to reenter the target areal density difference and the target compacted density difference.
S206: and the difference between the reference surface density and the target surface density is made to obtain the target surface density of the target battery, and the difference between the reference compacted density and the target compacted density is made to obtain the target compacted density of the target battery.
If the target lithium separation window belongs to the interval corresponding to the lower limit value of the predicted lithium separation window and the upper limit value of the predicted lithium separation window, the difference between the reference surface density and the target surface density is made to obtain the target surface density of the target battery, and the difference between the reference compaction density and the target compaction density is made to obtain the target compaction density of the target battery; the predicted lithium-out window lower limit, the predicted lithium-out window upper limit, the target areal density of the target battery, and the target compacted density of the target battery may also be sent to the user for self-evaluation by the user.
Based on the same application conception, the embodiment of the application also provides a device for determining the manufacturing parameters of the battery negative electrode plate, which corresponds to the method for determining the manufacturing parameters of the battery negative electrode plate provided by the embodiment, and because the principle of solving the problem by the device in the embodiment of the application is similar to that of determining the manufacturing parameters of the battery negative electrode plate in the embodiment of the application, the implementation of the device can refer to the implementation of the method, and the repetition is omitted.
Fig. 3 is a functional block diagram of a device for determining manufacturing parameters of a battery negative electrode tab according to an embodiment of the present application. The device 10 for determining manufacturing parameters of the battery negative electrode sheet comprises: a first acquisition module 101, a second acquisition module 102, a first determination module 103, a comparison module 104 and a second determination module 105.
A first obtaining module 101, configured to obtain an actual lithium precipitation window of a reference battery, a reference compacted density and a reference surface density of a negative electrode piece of the reference battery, and a target lithium precipitation window of a target battery;
a second obtaining module 102, configured to obtain a target surface density difference and a target compacted density difference between the reference battery and the target battery, which are input by a user, a target surface density coefficient selected by the user in a surface density coefficient interval, and a target compacted density coefficient selected by the user in a compacted density coefficient interval;
a first determining module 103, configured to determine a predicted lithium-precipitation window of the target battery according to the actual lithium-precipitation window, the target surface density difference value, the target compacted density difference value, the target surface density coefficient, and the target compacted density coefficient;
a comparison module 104, configured to determine whether a difference value between the predicted lithium analysis window and the target lithium analysis window belongs to a preset lithium analysis window difference value range;
and the second determining module 105 is configured to, if the difference between the predicted lithium separation window and the target lithium separation window belongs to a preset lithium separation window difference range, perform a difference between the reference surface density and the target surface density to obtain a target surface density of the target battery, and perform a difference between the reference compacted density and the target compacted density to obtain a target compacted density of the target battery.
Based on the same application concept, referring to fig. 4, which is a schematic structural diagram of an electronic device provided in an embodiment of the present application, the electronic device 20 includes: the battery negative pole piece manufacturing parameter determination method according to any one of the above embodiments is implemented by the processor 201, the memory 202, and the bus 203, wherein the memory 202 stores machine-readable instructions executable by the processor 201, and when the electronic device 20 is running, the processor 201 and the memory 202 communicate through the bus 203.
In particular, the machine readable instructions, when executed by the processor 201, may perform the following: acquiring an actual lithium precipitation window of a reference battery, a reference compacted density and a reference surface density of a negative pole piece of the reference battery, and a target lithium precipitation window of a target battery; acquiring a target surface density difference value and a target compaction density difference value of the reference battery and the target battery, which are input by a user, a target surface density coefficient selected by the user in a surface density coefficient interval and a target compaction density coefficient selected in a compaction density coefficient interval; determining a predicted lithium precipitation window of the target battery according to the actual lithium precipitation window, the target surface density difference value, the target compaction density difference value, the target surface density coefficient and the target compaction density coefficient; determining whether the difference value between the predicted lithium-precipitation window and the target lithium-precipitation window belongs to a preset lithium-precipitation window difference value range; and if the difference value between the predicted lithium precipitation window and the target lithium precipitation window belongs to a preset lithium precipitation window difference value range, the reference surface density and the target surface density difference value are subjected to difference to obtain the target surface density of the target battery, and the reference compaction density and the target compaction density difference value are subjected to difference to obtain the target compaction density of the target battery.
Based on the same application concept, the embodiment of the application further provides a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program is executed by a processor to execute the steps of the method for determining the manufacturing parameters of the battery negative electrode pole piece provided by the embodiment.
Specifically, the storage medium can be a general storage medium, such as a mobile magnetic disk, a hard disk, and the like, when a computer program on the storage medium is run, the method for determining the manufacturing parameters of the negative electrode plate of the battery can be executed, the predicted lithium-separating window of the target battery is determined through the actual lithium-separating window of the reference battery, the target surface density difference value and the target compaction density difference value of the reference battery and the target battery input by a user, the target surface density coefficient and the target compaction density coefficient selected by the user, and if the difference value between the predicted lithium-separating window and the target lithium-separating window belongs to the preset lithium-separating window difference range, the surface density and the compaction density of the negative electrode plate of the target battery are determined, the technical problems that the surface density and the compaction density of the negative electrode plate of the battery corresponding to the preset lithium-separating window are required to be determined through experiments in the prior art, and the cost is too high and the efficiency is low are solved, and the technical effects of saving the cost and improving the efficiency are achieved.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system and apparatus may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
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 non-volatile computer readable storage medium executable by a processor. Based on such understanding, the technical solutions of the present application may be embodied in essence or a part contributing to the prior art or a part of the technical solutions, or in the form of a software product, which is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes or substitutions are covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for determining manufacturing parameters of a battery negative electrode sheet, the method comprising:
acquiring an actual lithium precipitation window of a reference battery, a reference compacted density and a reference surface density of a negative pole piece of the reference battery, and a target lithium precipitation window of a target battery;
acquiring a target surface density difference value and a target compaction density difference value of the reference battery and the target battery, which are input by a user, a target surface density coefficient selected by the user in a surface density coefficient interval and a target compaction density coefficient selected in a compaction density coefficient interval;
determining a predicted lithium precipitation window of the target battery according to the actual lithium precipitation window, the target surface density difference value, the target compaction density difference value, the target surface density coefficient and the target compaction density coefficient;
Determining whether the difference value between the predicted lithium-precipitation window and the target lithium-precipitation window belongs to a preset lithium-precipitation window difference value range;
and if the difference value between the predicted lithium precipitation window and the target lithium precipitation window belongs to a preset lithium precipitation window difference value range, the reference surface density and the target surface density difference value are subjected to difference to obtain the target surface density of the target battery, and the reference compaction density and the target compaction density difference value are subjected to difference to obtain the target compaction density of the target battery.
2. The method of claim 1, wherein the determining the predicted lithium-out window for the target battery based on the actual lithium-out window, the target areal density difference, the target compacted density difference, the target areal density coefficient, and the target compacted density coefficient comprises:
calculating a predicted lithium analysis window of the target battery by the following formula:
Z m ＝ o + m ×ΔX+b m ×ΔY
in the above formula, Z m Refers to a predicted lithium-out window, Z, of a target battery o Refers to the actual lithium precipitation window, a, of a reference battery m Refers to the target surface density coefficient selected by the user, deltaX refers to the target surface density difference value, b m Refers to a user selected target compaction density coefficient, ΔY refers to the target compaction density differential.
3. The method of claim 1, wherein the area density coefficient interval is determined by:
acquiring actual lithium precipitation windows of a plurality of batteries in a first battery pack; the manufacturing parameters of the positive electrode plate of each battery are the same, the battery capacity belongs to a preset capacity interval, and the surface densities of the negative electrode plates of each battery are different but the compaction densities are the same;
randomly selecting a first battery from a plurality of batteries, and calculating the area density difference value between the first battery and each second battery except the first battery in the first battery group;
performing data fitting according to the actual lithium precipitation window of the first battery, the difference value of the surface density corresponding to each second battery and the actual lithium precipitation window, and determining a first fitting function corresponding to each second battery and the surface density coefficient of the first fitting function;
the minimum value of the surface density coefficient in the first fitting function is taken as the lower limit value of the surface density coefficient interval, and the maximum value of the surface density coefficient in the first fitting function is taken as the upper limit value of the surface density coefficient interval.
4. The method of claim 3, wherein the performing data fitting according to the actual lithium precipitation window of the first battery, the difference value of the surface density corresponding to each second battery, and the actual lithium precipitation window, and determining the first fitting function corresponding to each second battery and the surface density coefficient of the first fitting function, includes:
For each second battery, taking an actual lithium precipitation window corresponding to the second battery as a dependent variable, taking an area density difference value corresponding to the second battery as an independent variable, and taking the actual lithium precipitation window of the first battery as a constant to perform data fitting to obtain a first fitting function corresponding to each second battery;
and taking the coefficient corresponding to the dependent variable in each first fitting function as the surface density coefficient of the first fitting function.
5. The method of claim 1, wherein the interval of compaction density coefficients is defined by:
acquiring actual lithium precipitation windows of a plurality of batteries in a second battery pack; the manufacturing parameters of the positive electrode plate of each battery are the same, the battery capacity belongs to a preset capacity interval, and the surface density of the negative electrode plate of each battery is the same and the compaction density is different;
randomly selecting a third battery from a plurality of batteries, and calculating a compaction density difference value between the third battery and each fourth battery except the third battery in the second battery group;
performing data fitting according to the actual lithium precipitation window of the third battery, the compaction density difference value corresponding to each fourth battery and the actual lithium precipitation window, and determining a second fitting function corresponding to each fourth battery and a compaction density coefficient of the second fitting function;
And taking the minimum value of the compaction density coefficient in the second fitting function as the lower limit value of the compaction density coefficient interval, and taking the maximum value of the compaction density coefficient in the second fitting function as the upper limit value of the compaction density coefficient interval.
6. The method of claim 5, wherein the performing data fitting according to the actual lithium analysis window of the third battery, the compaction density difference value corresponding to each fourth battery, and the actual lithium analysis window, and determining the second fitting function corresponding to each fourth battery and the compaction density coefficient of the second fitting function, includes:
for each fourth battery, taking an actual lithium precipitation window corresponding to the fourth battery as a dependent variable, taking a compaction density difference value corresponding to the fourth battery as an independent variable, and taking the actual lithium precipitation window of the third battery as a constant to perform data fitting to obtain a second fitting function corresponding to each fourth battery;
and taking the coefficient corresponding to the dependent variable in each second fitting function as the compaction density coefficient of the second fitting function.
7. The method of claim 1, wherein after determining whether the difference between the predicted lithium analysis window and the target lithium analysis window falls within a preset lithium analysis window difference range, the method further comprises:
If the difference value between the predicted lithium-precipitation window and the target lithium-precipitation window does not belong to the preset lithium-precipitation window difference value range, prompting a user to input the target surface density, the target compaction density, the target surface density coefficient and the target compaction density coefficient again.
8. A device for determining manufacturing parameters of a battery negative electrode sheet, the device comprising:
the first acquisition module is used for acquiring an actual lithium precipitation window of a reference battery, a reference compacted density and a reference surface density of a negative pole piece of the reference battery and a target lithium precipitation window of a target battery;
the second acquisition module is used for acquiring a target surface density difference value and a target compaction density difference value of the reference battery and the target battery, which are input by a user, a target surface density coefficient selected by the user in a surface density coefficient interval and a target compaction density coefficient selected by the user in a compaction density coefficient interval;
the first determining module is used for determining a predicted lithium-precipitating window of the target battery according to the actual lithium-precipitating window, the target surface density difference value, the target compaction density difference value, the target surface density coefficient and the target compaction density coefficient;
The comparison module is used for determining whether the difference value between the predicted lithium precipitation window and the target lithium precipitation window belongs to a preset lithium precipitation window difference value range;
and the second determining module is used for obtaining the target surface density of the target battery by differentiating the reference surface density and the target surface density difference if the difference value between the predicted lithium precipitation window and the target lithium precipitation window belongs to the preset lithium precipitation window difference value range, and obtaining the target compacted density of the target battery by differentiating the reference compacted density and the target compacted density difference value.
9. An electronic device, comprising: a processor, a memory and a bus, said memory storing machine readable instructions executable by said processor, said processor and said memory communicating via said bus when the electronic device is operating, said machine readable instructions when executed by said processor performing the steps of the method of determining battery negative pole piece manufacturing parameters according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the method of determining battery negative pole piece manufacturing parameters according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310376430.2A CN116381527A (en) | 2023-04-10 | 2023-04-10 | Method and device for determining manufacturing parameters of battery negative electrode plate |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310376430.2A CN116381527A (en) | 2023-04-10 | 2023-04-10 | Method and device for determining manufacturing parameters of battery negative electrode plate |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116381527A true CN116381527A (en) | 2023-07-04 |
Family
ID=86976589
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310376430.2A Pending CN116381527A (en) | 2023-04-10 | 2023-04-10 | Method and device for determining manufacturing parameters of battery negative electrode plate |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116381527A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117664790A (en) * | 2024-02-02 | 2024-03-08 | 深圳三思纵横科技股份有限公司 | Intelligent control method and system of battery powder compaction density test machine |
-
2023
- 2023-04-10 CN CN202310376430.2A patent/CN116381527A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117664790A (en) * | 2024-02-02 | 2024-03-08 | 深圳三思纵横科技股份有限公司 | Intelligent control method and system of battery powder compaction density test machine |
| CN117664790B (en) * | 2024-02-02 | 2024-04-05 | 深圳三思纵横科技股份有限公司 | Intelligent control method and system of battery powder compaction density test machine |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | A coupled electrochemical-thermal-mechanical degradation modelling approach for lifetime assessment of lithium-ion batteries | |
| US10135279B2 (en) | Method and apparatus of battery charging | |
| CN109613436B (en) | Battery management system, battery system, and method and device for detecting lithium deposition of battery | |
| Wu et al. | Three-dimensional finite element study on stress generation in synchrotron X-ray tomography reconstructed nickel-manganese-cobalt based half cell | |
| Scipioni et al. | A physically-based equivalent circuit model for the impedance of a LiFePO4/graphite 26650 cylindrical cell | |
| WO2018209784A1 (en) | Lithium precipitation detection method for battery, battery management system, and battery system | |
| Pegel et al. | Volume and thickness change of NMC811| SiOx-graphite large-format lithium-ion cells: from pouch cell to active material level | |
| CN110161417B (en) | Lithium ion battery lithium analysis quantitative analysis method based on three-electrode system | |
| Takeno et al. | Influence of cycle capacity deterioration and storage capacity deterioration on Li-ion batteries used in mobile phones | |
| Leng et al. | Hierarchical degradation processes in lithium-ion batteries during ageing | |
| CN110568367A (en) | Method for analyzing cycle capacity attenuation of positive and negative electrode materials of lithium ion battery | |
| CN109471040B (en) | Capacity determination method, capacity determination device, electronic device, and computer-readable storage medium | |
| CN116381527A (en) | Method and device for determining manufacturing parameters of battery negative electrode plate | |
| Wang et al. | Factors affecting stress in anode particles during charging process of lithium ion battery | |
| Kang et al. | How electrode thicknesses influence performance of cylindrical lithium-ion batteries | |
| CN115548482A (en) | Lithium supplementing method, battery preparation method and battery | |
| CN115097332A (en) | Aging detection method and system for single battery | |
| CN115128467A (en) | Method and device for estimating negative electrode capacity of lithium battery | |
| Li et al. | Revealing the mechanism of stress rebound during discharging in lithium-ion batteries | |
| KR20210062263A (en) | Method for estimating state of all solid cell | |
| CN114523878A (en) | Lithium ion battery lithium separation safety early warning method and device | |
| CN116754981B (en) | Battery capacity prediction method and device, electronic equipment and storage medium | |
| Lin et al. | State of health estimation of lithium-ion batteries based on remaining area capacity | |
| CN116559757B (en) | Verification method and device for battery lithium-precipitation potential prediction accuracy and electronic equipment | |
| Xu et al. | Electrode thickness correlated parameters estimation for a Li-ion NMC battery electrochemical model |
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 |