Method and device for manufacturing battery negative electrode sheet, electronic device and medium
By pre-constructing a target mapping curve, the porosity coefficient, compaction density, and areal density of lithium-ion battery anode sheets are determined based on the constant current ratio. This solves the problems of long preparation cycles and resource waste in existing technologies, and achieves efficient anode sheet preparation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING CHEHEJIA AUTOMOBILE TECH CO LTD
- Filing Date
- 2021-12-15
- Publication Date
- 2026-05-29
AI Technical Summary
The existing technology for preparing lithium-ion battery anode sheets has a long process cycle, high resource consumption, and low preparation efficiency.
By pre-constructing a target mapping curve, the target porosity coefficient of the battery to be prepared is determined based on the target constant current ratio. The target compaction density and areal density are then determined in combination with the target porosity coefficient, enabling rapid preparation of the battery anode sheet.
It enables rapid and efficient preparation of battery anode sheets, saving resource consumption and improving preparation efficiency.
Smart Images
Figure CN116264269B_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the field of battery manufacturing technology, and in particular to a method, apparatus, electronic device, and dielectric for preparing a battery negative electrode sheet. Background Technology
[0002] With the increasing popularity of electric vehicles, lithium-ion power batteries have become one of the most widely used rechargeable batteries. However, the charging capability of lithium-ion batteries has always been an important problem to be solved.
[0003] In related technologies, the main approach is to establish multiple data points using different negative electrode ratios and different electrolyte systems, and to conduct long-term testing to measure the fast-charging capability of the battery negative electrode, thereby preparing the battery negative electrode sheet.
[0004] However, the negative electrode sheet prepared by the above method has a long cycle and a large resource consumption, resulting in low preparation efficiency. Summary of the Invention
[0005] To address the aforementioned technical problems, this disclosure provides a method, apparatus, electronic device, and dielectric for preparing a battery negative electrode sheet.
[0006] In a first aspect, this disclosure provides a method for preparing a battery negative electrode sheet, comprising:
[0007] Obtain the target constant current ratio, which is the constant current ratio required for the battery to be prepared;
[0008] Based on the pre-constructed target mapping curve and the target constant current ratio, the target porosity coefficient corresponding to the battery to be prepared is determined. The target mapping curve is used to describe the mapping relationship between the candidate constant current ratio and the candidate porosity coefficient. The target mapping curve corresponds to the type of raw material of the battery to be prepared.
[0009] Based on the target porosity coefficient, the target compaction density and target areal density corresponding to the battery to be prepared are determined;
[0010] Based on the target compaction density and the target areal density, the negative electrode sheet of the battery to be manufactured is prepared.
[0011] Optionally, the target mapping curve includes a first curve and a second curve. The first constant flow ratio in the first curve is determined by the product of the same compaction density and different areal densities, and the second constant flow ratio in the second curve is determined by the product of the same areal density and different compaction densities.
[0012] The determination of the target porosity coefficient corresponding to the battery to be prepared based on the pre-constructed target mapping curve and the target constant current ratio includes:
[0013] The first candidate porosity coefficient corresponding to the first candidate constant current ratio that is the same as the target constant current ratio is determined from the first curve and is taken as the first coefficient;
[0014] The second candidate porosity coefficient corresponding to the second candidate constant flow ratio that is the same as the target constant flow ratio is determined from the second curve and is taken as the second coefficient;
[0015] The target porosity coefficient corresponding to the battery to be prepared is determined based on the first coefficient and the second coefficient.
[0016] Optionally, determining the target compaction density and target areal density corresponding to the battery to be prepared based on the target porosity coefficient includes:
[0017] The target compaction density is determined from the compaction density range corresponding to the battery to be prepared;
[0018] Based on the target compaction density and the target porosity coefficient, the target areal density corresponding to the battery to be prepared is determined.
[0019] Optionally, determining the target compaction density and target areal density corresponding to the battery to be prepared based on the target porosity coefficient includes:
[0020] The target areal density is determined from the areal density range corresponding to the battery to be prepared;
[0021] Based on the target areal density and the target porosity coefficient, the target compaction density corresponding to the battery to be prepared is determined.
[0022] Optionally, the process of determining the first curve includes:
[0023] Based on a preset second mass ratio, at least three first battery negative electrode sheets with the same compaction density but different areal densities are prepared, wherein the second mass ratio corresponds to the second ratio value of active material, conductive agent and binder.
[0024] Calculate the first porosity coefficient of each of the at least three first battery negative electrode sheets;
[0025] Based on the pre-prepared positive electrode sheet and the at least three first negative electrode sheets, at least three first test cells are obtained. The first test cells are charged to obtain the first constant current ratio corresponding to each first porosity coefficient.
[0026] A first curve is determined based on the first porosity coefficient and the first constant current ratio corresponding to the first porosity coefficient.
[0027] Optionally, the process of determining the second curve includes:
[0028] Based on a preset second mass ratio, at least three second battery negative electrode sheets with the same areal density but different compaction densities are prepared, wherein the second mass ratio corresponds to a second ratio value of active material, conductive agent and binder.
[0029] Calculate the second porosity coefficient of each of the at least three second battery negative electrode sheets;
[0030] Based on the pre-prepared positive electrode sheet of the battery and the at least three negative electrode sheets of the second battery, at least three second test batteries are obtained, and the second test batteries are charged to obtain the second constant current ratio corresponding to each second porosity coefficient;
[0031] The second curve is determined based on the second porosity coefficient and the second constant current ratio corresponding to the second porosity coefficient.
[0032] Optional, also includes:
[0033] A battery positive electrode sheet is prepared based on a preset first mass ratio, wherein the first mass ratio corresponds to a first ratio value of active material, conductive agent and binder.
[0034] Optionally, determining the target porosity coefficient corresponding to the battery to be prepared based on the first coefficient and the second coefficient includes:
[0035] The larger of the first coefficient and the second coefficient is determined as the target porosity coefficient corresponding to the battery to be prepared;
[0036] Alternatively, the smallest of the first coefficient and the second coefficient can be determined as the target porosity coefficient corresponding to the battery to be prepared;
[0037] Alternatively, the average of the first coefficient and the second coefficient can be determined as the target porosity coefficient corresponding to the battery to be prepared.
[0038] Secondly, this disclosure provides an apparatus for preparing a battery negative electrode sheet, comprising:
[0039] The acquisition module is used to acquire the target constant current ratio, which is the constant current ratio required for the battery to be prepared;
[0040] The first determining module is used to determine the target porosity coefficient corresponding to the battery to be prepared based on the pre-constructed target mapping curve and the target constant current ratio. The target mapping curve is used to describe the mapping relationship between the constant current ratio and the porosity coefficient. The target mapping curve corresponds to the type of raw material of the battery to be prepared.
[0041] The second determining module is used to determine the target compaction density and target areal density of the battery to be prepared based on the target porosity coefficient.
[0042] The preparation module is used to prepare the negative electrode sheet of the battery to be prepared based on the target compaction density and the target areal density.
[0043] Optionally, the target mapping curve includes a first curve and a second curve. The first constant flow ratio in the first curve is determined by the product of the same compaction density and different areal densities, and the second constant flow ratio in the second curve is determined by the product of the same areal density and different compaction densities.
[0044] The first determining module includes:
[0045] The first determining unit is used to determine, from the first curve, a first candidate porosity coefficient corresponding to a first candidate constant current ratio that is the same as the target constant current ratio as a first coefficient;
[0046] The second determining unit is used to determine, from the second curve, the second candidate porosity coefficient corresponding to the second candidate constant current ratio that is the same as the target constant current ratio as the second coefficient;
[0047] The third determining unit is used to determine the target porosity coefficient corresponding to the battery to be prepared based on the first coefficient and the second coefficient.
[0048] Optional, the second determining module is specifically used for:
[0049] The target compaction density is determined from the compaction density range corresponding to the battery to be prepared;
[0050] Based on the target compaction density and the target porosity coefficient, the target areal density corresponding to the battery to be prepared is determined.
[0051] Optional, the second determining module is specifically used for:
[0052] The target areal density is determined from the areal density range corresponding to the battery to be prepared;
[0053] Based on the target areal density and the target porosity coefficient, the target compaction density corresponding to the battery to be prepared is determined.
[0054] Optionally, it may also include: a third determining module;
[0055] The third determining module is specifically used for:
[0056] Based on a preset second mass ratio, at least three first battery negative electrode sheets with the same compaction density but different areal densities are prepared, wherein the second mass ratio corresponds to the second ratio value of active material, conductive agent and binder.
[0057] Calculate the first porosity coefficient of each of the at least three first battery negative electrode sheets;
[0058] Based on the pre-prepared positive electrode sheet and the at least three first negative electrode sheets, at least three first test cells are obtained. The first test cells are charged to obtain the first constant current ratio corresponding to each first porosity coefficient.
[0059] A first curve is determined based on the first porosity coefficient and the first constant current ratio corresponding to the first porosity coefficient.
[0060] Optionally, it may also include: a fourth determining module;
[0061] The fourth determination module is specifically used for:
[0062] Based on a preset second mass ratio, at least three second battery negative electrode sheets with the same areal density but different compaction densities are prepared, wherein the second mass ratio corresponds to a second ratio value of active material, conductive agent and binder.
[0063] Calculate the second porosity coefficient of each of the at least three second battery negative electrode sheets;
[0064] Based on the pre-prepared positive electrode sheet of the battery and the at least three negative electrode sheets of the second battery, at least three second test batteries are obtained, and the second test batteries are charged to obtain the second constant current ratio corresponding to each second porosity coefficient;
[0065] The second curve is determined based on the second porosity coefficient and the second constant current ratio corresponding to the second porosity coefficient.
[0066] Optionally, the preparation module is also used to prepare a battery positive electrode sheet based on a preset first mass ratio, wherein the first mass ratio corresponds to a first ratio of active material, conductive agent and binder.
[0067] Optional, the third determining unit, specifically used for:
[0068] The larger of the first coefficient and the second coefficient is determined as the target porosity coefficient corresponding to the battery to be prepared;
[0069] Alternatively, the smallest of the first coefficient and the second coefficient can be determined as the target porosity coefficient corresponding to the battery to be prepared;
[0070] Alternatively, the average of the first coefficient and the second coefficient can be determined as the target porosity coefficient corresponding to the battery to be prepared.
[0071] Thirdly, this disclosure also provides an electronic device, including:
[0072] One or more processors;
[0073] Storage device for storing one or more programs.
[0074] When the one or more programs are executed by the one or more processors, the one or more processors implement any of the battery negative electrode preparation methods described in the embodiments of the present invention.
[0075] Fourthly, this disclosure also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the battery negative electrode preparation methods described in the embodiments of the present invention.
[0076] Compared with the prior art, the technical solution provided in this disclosure has the following advantages: After obtaining the target constant current ratio required for the battery to be prepared, the target porosity coefficient of the battery to be prepared is determined by the pre-constructed target mapping curve and the target constant current ratio. The target mapping curve can be used to describe the mapping relationship between the constant current ratio and the porosity coefficient. Thus, the target porosity coefficient of the battery to be prepared can be quickly found from the target mapping curve based on the target constant current ratio. Furthermore, the target mapping curve corresponds to the type of raw material of the battery to be prepared. Therefore, the porosity coefficient can be accurately found by the mapping curve corresponding to the type of raw material. Based on the target porosity coefficient, the target compaction density and target areal density of the battery to be prepared can be determined. The negative electrode sheet of the battery to be prepared can be prepared according to the target compaction density and target areal density. This enables the rapid and efficient preparation of the negative electrode sheet of the battery, saves resources, and improves the preparation efficiency. Attached Figure Description
[0077] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.
[0078] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0079] Figure 1 This is a schematic flowchart of a method for preparing a battery negative electrode sheet according to an embodiment of this disclosure;
[0080] Figure 2 This is a schematic flowchart of another method for preparing a battery negative electrode sheet provided in this embodiment of the present disclosure;
[0081] Figure 3 This is a schematic diagram of the first curve provided in an embodiment of this disclosure;
[0082] Figure 4 This is a schematic diagram of the second curve provided in an embodiment of this disclosure;
[0083] Figure 5 This is a schematic diagram of the structure of a battery negative electrode preparation apparatus provided in an embodiment of this disclosure;
[0084] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this disclosure. Detailed Implementation
[0085] To better understand the above-mentioned objectives, features, and advantages of this disclosure, the solutions disclosed herein will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.
[0086] Numerous specific details are set forth in the following description in order to provide a full understanding of this disclosure, but this disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only some, and not all, of the embodiments of this disclosure.
[0087] In traditional methods, when manufacturing battery negative electrode sheets, it is necessary to conduct experiments on different negative electrode ratios and different electrolyte systems to establish a database, and then conduct long-term testing on all negative electrode sheets in the database to obtain the fast charging capability of the negative electrode sheets.
[0088] However, the above-mentioned scheme has a long execution cycle and consumes a lot of resources. It requires manual intervention, which is time-consuming and labor-intensive, resulting in low efficiency in the preparation of negative electrode sheets.
[0089] For example, this disclosure provides a method, apparatus, electronic device, and medium for preparing a battery negative electrode sheet. After obtaining the target constant current ratio required for the battery to be prepared, the target porosity coefficient of the battery to be prepared is determined by a pre-constructed target mapping curve and the target constant current ratio. The target mapping curve can be used to describe the mapping relationship between the constant current ratio and the porosity coefficient. Thus, the target porosity coefficient of the battery to be prepared can be quickly found from the target mapping curve based on the target constant current ratio. Furthermore, the target mapping curve corresponds to the type of raw materials of the battery to be prepared. Therefore, the porosity coefficient can be accurately found by using the mapping curve corresponding to the type of raw materials. Based on the target porosity coefficient, the target compaction density and target areal density of the battery to be prepared are determined. The negative electrode sheet of the battery to be prepared is then prepared according to the target compaction density and target areal density. This enables rapid and efficient preparation of the battery negative electrode sheet, saving resource consumption and improving preparation efficiency.
[0090] See details Figure 1 As shown in the example.
[0091] Figure 1 This is a schematic flowchart illustrating a method for preparing a battery negative electrode sheet according to an embodiment of this disclosure. The method of this embodiment can be executed by a battery negative electrode sheet preparation apparatus, which can be implemented in hardware / software and configured in an electronic device. The method for preparing a battery negative electrode sheet as described in any embodiment of this application can be implemented. Figure 1 As shown, the method specifically includes the following:
[0092] S110, Obtain the target constant current ratio.
[0093] The target constant current ratio is the constant current ratio required for the battery to be fabricated.
[0094] During the charging process, the battery is generally charged at a constant current first. As the voltage rises during constant current charging, it will switch to constant voltage charging after reaching a preset voltage threshold until the battery is fully charged.
[0095] The constant current ratio is the ratio of the constant current charging capacity to the total battery capacity during the charging process. Generally, the higher the constant current ratio of a battery, the better its charging capability.
[0096] When it is necessary to prepare the negative electrode of a battery, a constant current ratio can be predetermined as a preparation standard for the negative electrode of the battery.
[0097] S120. Based on the pre-constructed target mapping curve and target constant current ratio, determine the target porosity coefficient corresponding to the battery to be prepared.
[0098] The target mapping curve is used to describe the mapping relationship between the constant current ratio and the porosity coefficient. The target mapping curve corresponds to the type of raw material of the battery to be prepared.
[0099] The target mapping curve corresponds to the type of raw material of the battery to be prepared. In other words, each type of raw material of the battery to be prepared can correspond to a mapping curve.
[0100] The types of raw materials used to prepare the battery may include: natural (such as graphite, silicon, and carbon), artificial (such as artificial graphite), and mixed (such as tin-based alloys and silicon-based alloys).
[0101] It should be noted that the target porosity coefficient of the battery to be prepared can be the porosity coefficient of the negative electrode sheet of the battery to be prepared.
[0102] The target porosity coefficient can be calculated based on the product of the compaction density and areal density (such as single-sided density) of the negative electrode sheet of the battery to be prepared.
[0103] S130. Based on the target porosity coefficient, determine the target compaction density and target areal density corresponding to the battery to be prepared.
[0104] The target porosity coefficient can be determined by the product of the target compaction density and the target areal density of the battery to be prepared. Therefore, the target compaction density and the target areal density of the battery to be prepared can be derived from the target porosity coefficient.
[0105] Among them, determining the target compaction density and target areal density of the battery to be prepared based on the target porosity coefficient can include the following various implementation methods.
[0106] In some embodiments, optionally, determining the target compaction density and target areal density corresponding to the battery to be prepared based on the target porosity coefficient includes:
[0107] The target compaction density is determined from the compaction density range corresponding to the battery to be prepared;
[0108] Based on the target compaction density and the target porosity coefficient, the target areal density corresponding to the battery to be prepared is determined.
[0109] The compaction density range corresponding to the battery to be prepared can be [1.2, 1.8] (mg / cm³). 3 From this range, a compaction density can be selected as the target compaction density, and then the target areal density corresponding to the battery to be prepared can be determined according to the ratio of the target porosity coefficient to the target compaction density.
[0110] Therefore, based on the pre-selected target compaction density and combined with the target porosity coefficient, the target areal density corresponding to the battery to be prepared can be accurately obtained.
[0111] In other embodiments, optionally, the target compaction density and target areal density of the battery to be prepared are determined based on the target porosity coefficient, including:
[0112] The target areal density is determined from the areal density range corresponding to the battery to be prepared;
[0113] Based on the target areal density and target porosity coefficient, the target compaction density corresponding to the battery to be prepared is determined.
[0114] The areal density range of the battery to be prepared can be [5, 15] (mg / cm³). 2 From this range, an areal density can be selected as the target areal density, and then the target compaction density corresponding to the battery to be prepared can be determined according to the ratio of the target porosity coefficient to the target areal density.
[0115] Therefore, based on the pre-selected target areal density and combined with the target porosity coefficient, the target compaction density corresponding to the battery to be prepared can be accurately obtained.
[0116] It should be noted that the areal density mentioned in the embodiments of this disclosure can all be the single-sided areal density of the negative electrode sheet. This disclosure does not specifically limit it. In other scenarios, it can also be the double-sided areal density of the negative electrode sheet.
[0117] S140. Based on the target compaction density and target areal density, prepare the negative electrode sheet of the battery to be prepared.
[0118] The active material can be prepared into a slurry according to a certain mass ratio and coated into a negative electrode sheet with a target areal density and target compaction density to prepare the negative electrode sheet of the battery to be manufactured.
[0119] The battery negative electrode preparation method provided in this embodiment, after obtaining the target constant current ratio required for the battery to be prepared, determines the target porosity coefficient of the battery to be prepared through a pre-constructed target mapping curve and the target constant current ratio. The target mapping curve can be used to describe the mapping relationship between the constant current ratio and the porosity coefficient. Thus, the target porosity coefficient of the battery to be prepared can be quickly found from the target mapping curve based on the target constant current ratio. Furthermore, the target mapping curve corresponds to the type of raw materials of the battery to be prepared. Therefore, the porosity coefficient can be accurately found through the mapping curve corresponding to the type of raw materials. Based on the target porosity coefficient, the target compaction density and target areal density of the battery to be prepared can be determined. The negative electrode of the battery to be prepared can be prepared according to the target compaction density and target areal density. This method can achieve rapid and efficient preparation of the battery negative electrode, save resources, and improve preparation efficiency.
[0120] Figure 2 This is a schematic flowchart of another method for preparing a battery negative electrode sheet provided in this embodiment. This embodiment is based on the above embodiment, wherein the target mapping curve includes a first curve and a second curve. The first constant current ratio in the first curve is determined by the product of the same compaction density and different areal densities, and the second constant current ratio in the second curve is determined by the product of the same areal density and different compaction densities.
[0121] One possible implementation of S120 is as follows:
[0122] S1201. Determine the first candidate porosity coefficient corresponding to the first candidate constant current ratio that is the same as the target constant current ratio from the first curve and use it as the first coefficient.
[0123] The first curve can be seen here. Figure 3 As shown in the example, the horizontal axis represents the porosity coefficient, and the vertical axis represents the constant flow ratio corresponding to different areal densities but the same compaction density.
[0124] For example, assuming the target constant current ratio is 80.5%, and the constant current ratio corresponding to 80.5% on the vertical axis of the first curve is the first candidate constant current ratio, then the horizontal axis corresponding to 80.5% on the first curve is found to be 11.625, and the determined first coefficient is 11.625.
[0125] S1202. Determine the second candidate porosity coefficient corresponding to the second candidate constant flow ratio that is the same as the target constant flow ratio from the second curve.
[0126] The second curve can be seen here. Figure 4 As shown in the example, the horizontal axis represents the porosity coefficient, and the vertical axis represents the constant flow ratio corresponding to the same surface density but different compaction densities.
[0127] Based on the above example, assuming the target constant current ratio is 80.5%, the constant current ratio corresponding to 80.5% on the vertical axis of the second curve is the second candidate constant current ratio. Then, the horizontal axis corresponding to 80.5% on the second curve is 11.933, and the determined second coefficient is 11.933.
[0128] S1203. Determine the target porosity coefficient corresponding to the battery to be prepared based on the first coefficient and the second coefficient.
[0129] The target porosity coefficient of the battery to be prepared can be determined by combining the first coefficient and the second coefficient.
[0130] The target porosity coefficient of the battery to be prepared can be determined based on the first coefficient and the second coefficient in several ways.
[0131] In some embodiments, the larger of the first coefficient and the second coefficient is determined as the target porosity coefficient corresponding to the battery to be prepared.
[0132] Based on the above example, the first coefficient is 11.625, the second coefficient is 11.933, and the largest coefficient among the first and second coefficients is the second coefficient of 11.933. Therefore, the target porosity coefficient corresponding to the battery to be prepared can be determined to be 11.933.
[0133] In other embodiments, the smaller of the first coefficient and the second coefficient is determined as the target porosity coefficient corresponding to the battery to be prepared.
[0134] Based on the above example, the first coefficient is 11.625, the second coefficient is 11.933, and the smallest coefficient among the first and second coefficients is the first coefficient of 11.625. Therefore, the target porosity coefficient corresponding to the battery to be prepared can be determined to be 11.625.
[0135] In some other embodiments, the average of the first coefficient and the second coefficient is determined as the target porosity coefficient corresponding to the battery to be prepared.
[0136] Based on the above example, the first coefficient is 11.625, the second coefficient is 11.933, and the average of the first and second coefficients is 11.779. Therefore, the target porosity coefficient corresponding to the battery to be prepared can be determined to be 11.779.
[0137] Therefore, this embodiment provides multiple calculation methods to determine the target porosity coefficient corresponding to the battery to be prepared, enriching the calculation scenarios of the target porosity coefficient and providing more choices for the calculation of the target porosity coefficient.
[0138] The positive electrode of the battery can be determined as follows.
[0139] A battery positive electrode sheet is prepared based on a preset first mass ratio, where the first mass ratio corresponds to a first ratio value of active material, conductive agent and binder.
[0140] The active material can be lithium nickel cobalt manganese oxide (a ternary material), the conductive agent can be carbon nanotubes, and the binder can be polyvinylidene fluoride (PVDF). The active material, conductive agent, and binder can be mixed in a ratio of 90:5:5 to form a slurry, and then processed into a battery positive electrode sheet using conventional homogenization and coating operations.
[0141] It should be noted that the first mass ratio corresponds to the first ratio of active material, conductive agent and binder, which can be obtained through multiple realizations, thereby ensuring the manufacturing efficiency of the battery positive electrode sheet.
[0142] Optionally, the process for determining the first curve is as follows:
[0143] Based on a preset second mass ratio, at least three first battery negative electrode sheets with the same compaction density but different areal densities are prepared. The second mass ratio corresponds to the second ratio value of active material, conductive agent and binder.
[0144] Calculate the first porosity coefficient of at least three negative electrode sheets of the first battery;
[0145] Based on the pre-prepared positive electrode sheet and at least three negative electrode sheets of the first battery, at least three first test batteries are obtained. The first test batteries are charged and tested to obtain the first constant current ratio corresponding to each first porosity coefficient.
[0146] The first curve is determined based on the first porosity coefficient and the first constant flow ratio corresponding to the first porosity coefficient.
[0147] Among them, conductive carbon black can be selected as the conductive agent for making the battery negative electrode sheet, and styrene-butadiene rubber can be selected as the binder. The active material, conductive agent and binder can be prepared into a slurry in a ratio of 95:2:3, and then coated into battery negative electrode sheets with different areal densities and different compaction densities according to conventional homogenization and coating methods.
[0148] For example, the areal density can be selected as 7.5 mg / cm³. 2 8mg / cm 2 and 9.5 mg / cm 2 The compaction density can be selected as 1.55 mg / cm³. 3 The three first porosity coefficients were obtained as 11.625, 12.4 and 14.725, respectively.
[0149] The prepared first test battery was charged and tested. The first constant current ratios corresponding to the three first porosity coefficients were 80.5%, 78.5%, and 76.2%, respectively.
[0150] The relationship between different areal densities and fast charging capabilities, summarized based on the above parameters, can be found in Table 1 below.
[0151] Table 1. Relationship between different surface densities and fast charging capability
[0152]
[0153] Therefore, based on each first porosity coefficient and its corresponding first constant current ratio, the first curve is effectively fitted.
[0154] The optional process for determining the second curve is as follows:
[0155] Based on a preset second mass ratio, at least three second battery negative electrode sheets with the same areal density but different compaction densities are prepared. The second mass ratio corresponds to the second ratio value of active material, conductive agent and binder.
[0156] Calculate the second porosity coefficients of at least three second battery negative electrode sheets respectively;
[0157] Based on the pre-prepared positive electrode sheet of the battery and at least three negative electrode sheets of the second battery, at least three second test batteries are obtained. The second test batteries are charged and tested to obtain the second constant current ratio corresponding to each second porosity coefficient.
[0158] The second curve is determined based on the second porosity coefficient and the second constant flow ratio corresponding to the second porosity coefficient.
[0159] Among them, conductive carbon black can be selected as the conductive agent for making the battery negative electrode sheet, and styrene-butadiene rubber can be selected as the binder. The active material, conductive agent and binder can be prepared into a slurry in a ratio of 95:2:3, and then coated into battery negative electrode sheets with different areal densities and different compaction densities according to conventional homogenization and coating methods.
[0160] For example, the areal density can be selected as 8 mg / cm³. 2 The compaction density can be selected as 1.45 mg / cm³. 3 1.5 mg / cm 3 and 1.55 mg / cm 3 The three first porosity coefficients were found to be 11.6, 12, and 12.4, respectively.
[0161] The prepared second test battery was charged and tested. The second constant current ratios corresponding to the three second porosity coefficients were 81.5%, 80.4%, and 78.8%, respectively.
[0162] The relationship between different compaction densities and fast charging capabilities, summarized based on the above parameters, can be found in Table 2 below.
[0163] Table 2. Relationship between different compaction densities and fast charging capability
[0164]
[0165] Therefore, based on each second porosity coefficient and its corresponding second constant current ratio, the second curve is effectively fitted.
[0166] Figure 5 This is a schematic diagram of a battery negative electrode preparation apparatus provided in an embodiment of this disclosure; the apparatus is configured in an electronic device and can realize the battery negative electrode preparation method described in any embodiment of this application. The apparatus specifically includes the following:
[0167] The acquisition module 510 is used to acquire the target constant current ratio, which is the constant current ratio required for the battery to be prepared;
[0168] The first determining module 520 is used to determine the target porosity coefficient corresponding to the battery to be prepared based on the pre-constructed target mapping curve and the target constant current ratio. The target mapping curve is used to describe the mapping relationship between the constant current ratio and the porosity coefficient. The target mapping curve corresponds to the type of raw material of the battery to be prepared.
[0169] The second determining module 530 is used to determine the target compaction density and target areal density of the battery to be prepared based on the target porosity coefficient.
[0170] The preparation module 540 is used to prepare the negative electrode sheet of the battery to be prepared based on the target compaction density and the target areal density.
[0171] In this embodiment, optionally, the target mapping curve includes a first curve and a second curve. The first constant flow ratio in the first curve is determined by the product of the same compaction density and different areal densities, and the second constant flow ratio in the second curve is determined by the product of the same areal density and different compaction densities.
[0172] The first determining module 520 includes:
[0173] The first determining unit is used to determine, from the first curve, a first candidate porosity coefficient corresponding to a first candidate constant current ratio that is the same as the target constant current ratio as a first coefficient;
[0174] The second determining unit is used to determine, from the second curve, the second candidate porosity coefficient corresponding to the second candidate constant current ratio that is the same as the target constant current ratio as the second coefficient;
[0175] The third determining unit is used to determine the target porosity coefficient corresponding to the battery to be prepared based on the first coefficient and the second coefficient.
[0176] In this embodiment, optionally, the second determining module 530 is specifically used for:
[0177] The target compaction density is determined from the compaction density range corresponding to the battery to be prepared;
[0178] Based on the target compaction density and the target porosity coefficient, the target areal density corresponding to the battery to be prepared is determined.
[0179] In this embodiment, optionally, the second determining module 530 is specifically used for:
[0180] The target areal density is determined from the areal density range corresponding to the battery to be prepared;
[0181] Based on the target areal density and the target porosity coefficient, the target compaction density corresponding to the battery to be prepared is determined.
[0182] In this embodiment, optionally, the device further includes: a third determining module;
[0183] The third determining module is specifically used for:
[0184] Based on a preset second mass ratio, at least three first battery negative electrode sheets with the same compaction density but different areal densities are prepared, wherein the second mass ratio corresponds to the second ratio value of active material, conductive agent and binder.
[0185] Calculate the first porosity coefficient of each of the at least three first battery negative electrode sheets;
[0186] Based on the pre-prepared positive electrode sheet and the at least three first negative electrode sheets, at least three first test cells are obtained. The first test cells are charged to obtain the first constant current ratio corresponding to each first porosity coefficient.
[0187] A first curve is determined based on the first porosity coefficient and the first constant current ratio corresponding to the first porosity coefficient.
[0188] In this embodiment, optionally, the device further includes: a fourth determining module;
[0189] The fourth determination module is specifically used for:
[0190] Based on a preset second mass ratio, at least three second battery negative electrode sheets with the same areal density but different compaction densities are prepared, wherein the second mass ratio corresponds to a second ratio value of active material, conductive agent and binder.
[0191] Calculate the second porosity coefficient of each of the at least three second battery negative electrode sheets;
[0192] Based on the pre-prepared positive electrode sheet of the battery and the at least three negative electrode sheets of the second battery, at least three second test batteries are obtained, and the second test batteries are charged to obtain the second constant current ratio corresponding to each second porosity coefficient;
[0193] The second curve is determined based on the second porosity coefficient and the second constant current ratio corresponding to the second porosity coefficient.
[0194] In this embodiment, optionally, the preparation module 540 is also used to prepare a battery positive electrode sheet based on a preset first mass ratio, wherein the first mass ratio corresponds to a first ratio value of active material, conductive agent and binder.
[0195] In this embodiment, optionally, the third determining unit is specifically used for:
[0196] The larger of the first coefficient and the second coefficient is determined as the target porosity coefficient corresponding to the battery to be prepared;
[0197] Alternatively, the smallest of the first coefficient and the second coefficient can be determined as the target porosity coefficient corresponding to the battery to be prepared;
[0198] Alternatively, the average of the first coefficient and the second coefficient can be determined as the target porosity coefficient corresponding to the battery to be prepared.
[0199] The battery negative electrode preparation apparatus of this invention, after obtaining the target constant current ratio required for the battery to be prepared, determines the target porosity coefficient of the battery to be prepared by means of a pre-constructed target mapping curve and the target constant current ratio. The target mapping curve can be used to describe the mapping relationship between the constant current ratio and the porosity coefficient. Thus, the target porosity coefficient of the battery to be prepared can be quickly found from the target mapping curve based on the target constant current ratio. Furthermore, the target mapping curve corresponds to the type of raw material of the battery to be prepared. Therefore, the porosity coefficient can be accurately found by means of the mapping curve corresponding to the type of raw material. Based on the target porosity coefficient, the target compaction density and target areal density of the battery to be prepared can be determined. The negative electrode sheet of the battery to be prepared can be prepared according to the target compaction density and target areal density. This enables rapid and efficient preparation of the battery negative electrode sheet, saves resources, and improves preparation efficiency.
[0200] The battery negative electrode preparation apparatus provided in this embodiment of the invention can execute the battery negative electrode preparation method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.
[0201] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this disclosure. For example... Figure 6 As shown, the electronic device includes a processor 610, a memory 620, an input device 630, and an output device 640; the number of processors 610 in the electronic device can be one or more. Figure 6 Taking a processor 610 as an example; the processor 610, memory 620, input device 630, and output device 640 in the electronic device can be connected via a bus or other means. Figure 6 Taking the example of a connection between China and Israel via a bus.
[0202] The memory 620, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the battery negative electrode preparation method in this embodiment of the invention. The processor 610 executes various functional applications and data processing of the electronic device by running the software programs, instructions, and modules stored in the memory 620, thereby realizing the battery negative electrode preparation method provided in this embodiment of the invention.
[0203] The memory 620 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a given function; the data storage area may store data created based on terminal usage. Furthermore, the memory 620 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 620 may further include memory remotely located relative to the processor 610, which can be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
[0204] Input device 630 can be used to receive input digital or character information, and to generate key signal inputs related to user settings and function control of the electronic device, and may include a keyboard, mouse, etc. Output device 640 may include display devices such as a display screen.
[0205] This disclosure also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to implement the battery negative electrode preparation method provided in this embodiment of the invention.
[0206] Of course, the computer-executable instructions provided in the embodiments of the present invention are not limited to the method operations described above, but can also perform related operations in the battery negative electrode preparation method provided in any embodiment of the present invention.
[0207] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.
[0208] It is worth noting that in the embodiments of the search device described above, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the scope of protection of the present invention.
[0209] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
[0210] The above description is merely a specific embodiment of this disclosure, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this disclosure. Therefore, this disclosure is not to be limited to the embodiments described herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A method for preparing a battery negative electrode sheet, characterized in that, include: Obtain the target constant current ratio, which is the constant current ratio required for the battery to be prepared; Based on the pre-constructed target mapping curve and the target constant current ratio, the target porosity coefficient corresponding to the battery to be prepared is determined. The target mapping curve is used to describe the mapping relationship between the constant current ratio and the porosity coefficient. The target mapping curve corresponds to the type of raw material of the battery to be prepared. Based on the target porosity coefficient, the target compaction density and target areal density corresponding to the battery to be prepared are determined; Based on the target compaction density and the target areal density, the negative electrode sheet of the battery to be manufactured is prepared; The determination of the target porosity coefficient corresponding to the battery to be prepared based on the pre-constructed target mapping curve and the target constant current ratio includes: Based on the target constant current ratio, the target porosity coefficient of the battery to be prepared is found from the target mapping curve; The step of determining the target compaction density and target areal density of the battery to be prepared based on the target porosity coefficient includes: The target compaction density is determined from the compaction density range corresponding to the battery to be prepared; Based on the target compaction density and the target porosity coefficient, the target areal density corresponding to the battery to be prepared is determined; Alternatively, the target areal density can be determined from the areal density range corresponding to the battery to be prepared; Based on the target areal density and the target porosity coefficient, the target compaction density corresponding to the battery to be prepared is determined.
2. The method according to claim 1, characterized in that, The target mapping curve includes a first curve and a second curve. The first constant flow ratio in the first curve is determined by the product of the same compaction density and different areal densities. The second constant flow ratio in the second curve is determined by the product of the same areal density and different compaction densities. The determination of the target porosity coefficient corresponding to the battery to be prepared based on the pre-constructed target mapping curve and the target constant current ratio includes: The first candidate porosity coefficient corresponding to the first candidate constant current ratio that is the same as the target constant current ratio is determined from the first curve and is taken as the first coefficient; The second candidate porosity coefficient corresponding to the second candidate constant flow ratio that is the same as the target constant flow ratio is determined from the second curve and is taken as the second coefficient; The target porosity coefficient corresponding to the battery to be prepared is determined based on the first coefficient and the second coefficient.
3. The method according to claim 2, characterized in that, The process of determining the first curve includes: Based on a preset second mass ratio, at least three first battery negative electrode sheets with the same compaction density but different areal densities are prepared, wherein the second mass ratio corresponds to the second ratio value of active material, conductive agent and binder. Calculate the first porosity coefficient of each of the at least three first battery negative electrode sheets; Based on the pre-prepared positive electrode sheet and the at least three first negative electrode sheets, at least three first test cells are obtained. The first test cells are charged to obtain the first constant current ratio corresponding to each first porosity coefficient. A first curve is determined based on the first porosity coefficient and the first constant current ratio corresponding to the first porosity coefficient.
4. The method according to claim 2, characterized in that, The process of determining the second curve includes: Based on a preset second mass ratio, at least three second battery negative electrode sheets with the same areal density but different compaction densities are prepared, wherein the second mass ratio corresponds to a second ratio value of active material, conductive agent and binder. Calculate the second porosity coefficient of each of the at least three second battery negative electrode sheets; Based on the pre-prepared positive electrode sheet of the battery and the at least three negative electrode sheets of the second battery, at least three second test batteries are obtained, and the second test batteries are charged to obtain the second constant current ratio corresponding to each second porosity coefficient; The second curve is determined based on the second porosity coefficient and the second constant current ratio corresponding to the second porosity coefficient.
5. The method according to claim 3 or 4, characterized in that, Also includes: A battery positive electrode sheet is prepared based on a preset first mass ratio, wherein the first mass ratio corresponds to a first ratio value of active material, conductive agent and binder.
6. The method according to claim 2, characterized in that, The step of determining the target porosity coefficient corresponding to the battery to be prepared based on the first coefficient and the second coefficient includes: The larger of the first coefficient and the second coefficient is determined as the target porosity coefficient corresponding to the battery to be prepared; Alternatively, the smallest of the first coefficient and the second coefficient can be determined as the target porosity coefficient corresponding to the battery to be prepared; Alternatively, the average of the first coefficient and the second coefficient can be determined as the target porosity coefficient corresponding to the battery to be prepared.
7. An apparatus for preparing a battery negative electrode sheet, characterized in that, include: The acquisition module is used to acquire the target constant current ratio, which is the constant current ratio required for the battery to be prepared; The first determining module is used to determine the target porosity coefficient corresponding to the battery to be prepared based on the pre-constructed target mapping curve and the target constant current ratio. The target mapping curve is used to describe the mapping relationship between the candidate constant current ratio and the candidate porosity coefficient. The target mapping curve corresponds to the type of raw material of the battery to be prepared. The second determining module is used to determine the target compaction density and target areal density of the battery to be prepared based on the target porosity coefficient. The preparation module is used to prepare the negative electrode sheet of the battery to be prepared based on the target compaction density and the target areal density; The first determining module is specifically used to find the target porosity coefficient of the battery to be prepared from the target mapping curve based on the target constant current ratio; The second determining module is specifically used to determine a target compaction density from the compaction density range corresponding to the battery to be prepared; and to determine a target areal density corresponding to the battery to be prepared based on the target compaction density and the target porosity coefficient. Alternatively, the second determining module is specifically used to determine the target areal density from the areal density range corresponding to the battery to be prepared; and to determine the target compaction density corresponding to the battery to be prepared based on the target areal density and the target porosity coefficient.
8. An electronic device, characterized in that, include: One or more processors; Storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method for preparing a battery negative electrode sheet as described in any one of claims 1 to 6.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the method for preparing a battery negative electrode sheet as described in any one of claims 1 to 6.