A method for determining a battery electrolyte dosage boundary and related devices

Abstract

The application discloses a battery electrolyte dosage boundary determination method and related equipment, through scientific calculation and model construction, the electrolyte dosage boundary of the warranty period is accurately determined, and electrolyte injection amount design is optimized. Based on the porosity, volume parameters and electrolyte density of the pole piece and the diaphragm, the pore electrolyte filling amount is accurately calculated to ensure that the electrolyte is fully filled in the internal pores; in combination with the bottom structure parameters of the battery shell and the electrolyte density, the bottom filling electrolyte amount is accurately calculated to maintain the stability of the bottom heat transfer. The internal standard extraction method is used to determine the consumption of formation electrolyte, which is in line with the actual production; with the help of multi-temperature experimental data and the Arrhenius formula, a model is constructed to scientifically predict the electrolyte consumption under the working condition; according to the regression analysis of the volatilization experimental data, the electrolyte transmission amount generated due to poor sealing is reasonably calculated. Finally, the dosage boundary is determined by comprehensively considering the above-mentioned quantities, the performance reduction or cost waste caused by improper electrolyte dosage is effectively avoided, and the balance optimization of performance and cost is achieved.

Description

Technical Field

[0001] This application relates to the field of electrolyte usage control, and more specifically, to a method and related equipment for determining the boundary of battery electrolyte usage. Background Technology

[0002] Lithium-ion battery electrolytes, as the key carriers for ion transport in batteries, are composed of lithium salts, organic solvents, and a small amount of additives. They conduct ions between the positive and negative electrodes, playing a crucial role in ensuring the high voltage and high specific energy of lithium-ion batteries. The amount of electrolyte used has a decisive impact on battery reliability. Insufficient electrolyte will prevent adequate wetting of the positive and negative electrodes and the separator, leading to increased internal resistance, reduced capacity, and poorer cycle storage performance. Conversely, excessive electrolyte will not significantly improve battery performance but will also reduce energy density and increase production costs. Therefore, balancing performance and cost and rationally designing the electrolyte dosage is a critical issue that urgently needs to be addressed in lithium battery research and production.

[0003] However, the current design of electrolyte usage in lithium batteries mainly relies on empirical values. This empirical approach cannot accurately consider the various needs of the electrolyte throughout the battery's entire life cycle, making it difficult to meet the stringent requirements of modern lithium batteries for high performance and low cost. As a result, battery production cannot achieve the optimal balance between performance and cost, thus hindering the further development of the lithium battery industry.

[0004] Based on this, this application proposes a complete and scientific scheme for determining the boundary of battery electrolyte usage to assist in electrolyte injection. Summary of the Invention

[0005] This application provides a method and related equipment for determining the boundary of electrolyte usage in batteries, which accurately determines the boundary of electrolyte usage during the warranty period, realizes the optimized design of electrolyte usage that takes into account both performance and cost, and avoids performance degradation or cost waste caused by improper electrolyte usage.

[0006] A method for determining the boundary of battery electrolyte usage includes:

[0007] Based on the porosity, volume parameters, and electrolyte density of the electrode and diaphragm, the electrolyte filling amount in the pores is determined by calculating the total volume of the pores in the electrode and diaphragm and combining it with the electrolyte density.

[0008] The amount of electrolyte filled at the bottom is calculated based on the volume of the bottom cavity, the volume of the bottom support plate, and the volume of the insulating film of the battery casing, combined with the electrolyte density.

[0009] The remaining mass of electrolyte after formation was measured by internal standard extraction method. Combined with the injection volume and the amount of extractant added, the amount of electrolyte consumed during the formation process was calculated.

[0010] Acquire multi-temperature storage and cycling experimental data of electrolyte, construct an electrolyte consumption prediction model by combining the relationship between electrolyte consumption and temperature and time fitted by the Arrhenius formula, and predict the electrolyte consumption under comprehensive working conditions by combining the total warranty period.

[0011] Obtain electrolyte evaporation experimental data, construct a permeation calculation formula based on the functional relationship between permeation and time and ambient temperature obtained from regression analysis, and calculate the electrolyte permeation in combination with the total shelf life.

[0012] Based on the amount of pore electrolyte filled, the amount of bottom-filled electrolyte, the amount of formation electrolyte consumed, the amount of working electrolyte consumed, and the amount of electrolyte permeation, the electrolyte usage boundary during the warranty period is determined to optimize the electrolyte injection design.

[0013] Optionally, the formula for calculating the amount of pore electrolyte filling is:

[0014]

[0015] in, This refers to the amount of electrolyte filling the pores. , , These are the positive electrode pore volume, negative electrode pore volume, and membrane pore volume, respectively. Each pore volume is calculated based on the number, size, and porosity of the electrodes or membranes. The electrolyte density;

[0016] The formula for calculating the amount of electrolyte filled at the bottom is:

[0017]

[0018] in, The amount of electrolyte to fill the bottom; , , These are the bottom cavity volume, the bottom support plate volume, and the insulating film volume, respectively. The bottom cavity volume is calculated based on the shell dimensions, and the bottom support plate volume and the insulating film volume are determined based on the geometric parameters of the bottom support plate and the insulating film, respectively. The electrolyte density;

[0019] The formula for calculating the consumption of the chemically formed electrolyte is as follows:

[0020]

[0021] in, This refers to the amount of electrolyte consumed during the formation process; This is the initial injection volume. This refers to the amount of extractant added. This represents the mass percentage of the extractant in the solvent, as determined by gas chromatography. The mass percentage of lithium salt in the electrolyte, as determined by ion chromatography;

[0022] The formula for calculating the electrolyte consumption under the specified operating conditions is as follows:

[0023]

[0024] in, This refers to the electrolyte consumption under operating conditions. , As a pre-index factor; , For activation energy, , The activation energy and the reaction order are determined by fitting stored and cyclic experimental data. , These are the operating temperature and the storage temperature, respectively. , These are the running time and the idle time, respectively. It is the gas constant;

[0025] The formula for calculating the electrolyte permeation rate is:

[0026]

[0027]

[0028] in, This refers to the electrolyte permeation rate; The baseline transmittance coefficient; The activation energy for volatilization was determined by fitting experimental data on electrolyte volatilization. This is the average temperature under combined operating conditions; , These are the operating temperature and the storage temperature, respectively. , These are the running time and the idle time, respectively. is the gas constant.

[0029] Optionally, the process of determining the porosity includes:

[0030] During the battery charging and discharging process, the thickness change of the electrode is monitored in real time, and the expansion system of the electrode at each stage of charging and discharging is generated.

[0031] The initial porosity is calculated based on the ratio of the electrode compaction density to the actual density.

[0032] The initial porosity is corrected based on the expansion coefficient to generate the porosity after charging and discharging, which is used to calculate the amount of electrolyte filling the pores.

[0033] Optionally, the process of constructing an electrolyte consumption prediction model using the multi-temperature storage and cycling experimental data of the electrolyte includes:

[0034] The batteries were stored at multiple temperature points, with different time periods set up at each temperature point, and the amount of electrolyte consumed during storage was recorded.

[0035] The battery was subjected to charge-discharge cycle tests under multiple temperature environments. Multiple different cycle periods and operating conditions were set, and the electrolyte consumption during the cycle was measured.

[0036] Based on experimental data of electrolyte storage and cycling at multiple temperatures, the relationship between electrolyte consumption and temperature and time was fitted using the Arrhenius equation, and an electrolyte consumption prediction model was established.

[0037] Optionally, the process of constructing a permeation calculation formula based on the electrolyte evaporation experimental data includes:

[0038] Electrolyte was injected into a simulated poorly sealed battery casing, and accelerated volatilization experiments were conducted under different temperature conditions.

[0039] Periodically measure changes in the shell mass, calculate electrolyte evaporation loss, and record the correlation data between evaporation and time;

[0040] By using regression analysis of electrolyte evaporation experimental data, a linear relationship between permeation and time was established. Based on temperature dependence, the model parameters were corrected to form a formula for calculating permeation under comprehensive operating conditions.

[0041] Optionally, the calculation formula for the electrolyte usage boundary during the warranty period is as follows:

[0042]

[0043] Among them, the boundary value of electrolyte usage during the warranty period; This refers to the amount of electrolyte filling the pores. The amount of electrolyte to fill the bottom; This refers to the amount of electrolyte consumed during the formation process; This refers to the electrolyte consumption under operating conditions. This represents the electrolyte permeation rate.

[0044] An apparatus for determining the boundary of battery electrolyte usage includes:

[0045] The pore electrolyte filling unit is used to determine the pore electrolyte filling amount based on the porosity, volume parameters and electrolyte density of the electrode and the diaphragm by calculating the total volume of the pores of the electrode and the diaphragm and combining it with the electrolyte density.

[0046] The bottom filling unit is used to calculate the amount of electrolyte to be filled at the bottom based on the volume of the bottom cavity of the battery casing, the volume of the bottom support plate, and the volume of the insulating film, combined with the electrolyte density.

[0047] The formation consumption unit is used to measure the remaining mass of electrolyte after formation by internal standard extraction method, and to calculate the amount of electrolyte consumed during the formation process by combining the injection volume and the amount of extractant added.

[0048] The working condition consumption unit is used to acquire electrolyte storage and cycle test data at multiple temperatures. It combines the relationship between electrolyte consumption and temperature and time fitted by the Arrhenius formula to construct an electrolyte consumption prediction model. It also combines the total warranty period time to predict the working condition electrolyte consumption under comprehensive working conditions.

[0049] The evaporation permeation unit is used to acquire electrolyte evaporation experimental data. Based on the functional relationship between permeation amount and time and ambient temperature obtained from regression analysis, a permeation amount calculation formula is constructed, and the electrolyte permeation amount is calculated in combination with the total shelf life.

[0050] The dosage boundary unit is used to determine the electrolyte dosage boundary during the warranty period based on the pore electrolyte filling amount, the bottom filling electrolyte amount, the formation electrolyte consumption amount, the operating condition electrolyte consumption amount, and the electrolyte permeation amount, so as to optimize the electrolyte injection design.

[0051] A device for determining the boundary of battery electrolyte usage includes a memory and a processor;

[0052] The memory is used to store programs;

[0053] The processor is configured to execute the program to implement the steps of the battery electrolyte usage boundary determination method as described in any of the preceding claims.

[0054] A readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of the battery electrolyte usage boundary determination method as described in any of the preceding claims.

[0055] A computer program product includes a computer program, characterized in that the computer program, when run by a processor, executes the steps of the battery electrolyte usage boundary determination method as described in any of the preceding claims.

[0056] As can be seen from the above technical solutions, the battery electrolyte usage boundary determination method and related equipment provided in this application embodiment achieve the beneficial effects of accurately determining the electrolyte usage boundary during the warranty period and optimizing the electrolyte injection design. Specifically, the solution first accurately calculates the pore electrolyte filling amount based on the porosity, volume parameters, and electrolyte density of the electrode and separator, fully considering the electrolyte requirements of the internal electrode and separator of the battery, and avoiding the impact on battery performance due to insufficient filling; at the same time, by considering the bottom cavity volume, bottom support plate volume, and insulating film volume of the battery casing, and combining the electrolyte density, the bottom filling electrolyte amount is accurately calculated to ensure that there is sufficient electrolyte filling at the bottom throughout the battery's entire life cycle and to maintain stable bottom heat transfer performance. In terms of electrolyte consumption calculation, the internal standard extraction method is used to measure the remaining mass of electrolyte after formation. Combined with the injection volume and the amount of extractant added, the electrolyte consumption during formation is accurately determined, making the electrolyte usage calculation more consistent with the actual production process. Data from multi-temperature storage and cycling experiments of electrolyte are obtained, and a predictive model is constructed by fitting the relationship between electrolyte consumption and temperature and time using the Arrhenius formula. This model considers the impact of different temperature and time conditions on electrolyte consumption and can more accurately predict the electrolyte consumption of the battery under actual operating conditions, avoiding battery performance degradation due to insufficient electrolyte. Data from electrolyte volatilization experiments are obtained, and a permeation calculation formula is constructed based on regression analysis. This model takes into account electrolyte volatilization losses caused by poor sealing of the cover and shell, and reasonably calculates the electrolyte permeation. Finally, by comprehensively considering the amount of pore electrolyte filling, the amount of bottom-filled electrolyte, the amount of formation electrolyte consumed, the amount of electrolyte consumed under operating conditions, and the amount of electrolyte permeation, the electrolyte usage boundary during the warranty period is determined. By accurately determining the electrolyte usage boundary during the warranty period, an optimized design for electrolyte usage that balances performance and cost is achieved, while avoiding performance degradation or cost waste caused by improper electrolyte usage. Attached Figure Description

[0057] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0058] Figure 1 This is a flowchart of a method for determining the boundary of battery electrolyte usage disclosed in an embodiment of this application;

[0059] Figure 2 This is a schematic diagram illustrating the relationship between electrolyte consumption and time under comprehensive operating conditions as disclosed in an embodiment of this application.

[0060] Figure 3This is a schematic diagram illustrating the relationship between electrolyte permeation and time at different temperatures, as disclosed in an embodiment of this application.

[0061] Figure 4 The embodiments disclosed in this application disclose the following: Figure 3 A magnified view of the framed area;

[0062] Figure 5 This is a schematic diagram illustrating the relationship between electrolyte usage and time under comprehensive operating conditions as disclosed in an embodiment of this application.

[0063] Figure 6 This is a schematic diagram of an apparatus for determining the boundary of battery electrolyte usage disclosed in an embodiment of this application;

[0064] Figure 7 This is a hardware structure block diagram of a battery electrolyte usage boundary determination method device disclosed in an embodiment of this application. Detailed Implementation

[0065] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0066] This application can be used in a wide variety of general-purpose or special-purpose computing device environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor devices, distributed computing environments including any of the above devices, etc.

[0067] The following section introduces the solution proposed in this application. The technical solution is as follows, and details are provided below.

[0068] Figure 1 This is a flowchart of a method for determining the boundary of battery electrolyte usage disclosed in an embodiment of this application.

[0069] like Figure 1 As shown, the method may include:

[0070] Step S1: Based on the porosity, volume parameters, and electrolyte density of the electrode and diaphragm, the total volume of the pores of the electrode and diaphragm is calculated and combined with the electrolyte density to determine the amount of electrolyte filling in the pores.

[0071] Specifically, step S1 involves determining the electrolyte filling amount for the battery electrodes and separator pores. First, basic data such as the porosity, volume parameters, and electrolyte density of the electrodes and separator need to be determined. Using the number and size of the electrodes or separator, combined with the porosity, the pore volumes of the positive electrode, negative electrode, and separator are calculated separately, and then summed to obtain the total pore volume. However, determining the porosity is not a simple matter. During battery charging and discharging, the electrode thickness changes, so this change must be monitored in real time to obtain the electrode expansion coefficient at each stage of charging and discharging. Simultaneously, the initial porosity is calculated based on the ratio of the electrode compaction density to its actual density, and then corrected using the expansion coefficient to obtain the porosity after charging and discharging. Finally, by combining the total pore volume with the electrolyte density and using a specific calculation formula, the electrolyte filling amount can be accurately determined, ensuring that the internal pores of the battery are filled with an appropriate amount of electrolyte, maintaining stable battery performance, and avoiding performance problems caused by improper electrolyte filling.

[0072] The formula for calculating the amount of pore electrolyte filling is:

[0073]

[0074] in, This refers to the amount of electrolyte filling the pores. , , These are the positive electrode pore volume, negative electrode pore volume, and membrane pore volume, respectively. Each pore volume is calculated based on the number, size, and porosity of the electrodes or membranes. This represents the electrolyte density.

[0075] Furthermore, the process of determining the porosity includes:

[0076] ① During the battery charging and discharging process, the thickness change of the electrode is monitored in real time, and the expansion system of the electrode at each stage of charging and discharging is generated;

[0077] ② Calculate the initial porosity based on the ratio of the electrode compaction density to the actual density;

[0078] ③ The initial porosity is corrected based on the expansion coefficient to generate the porosity after charging and discharging, which is used to calculate the amount of electrolyte filling the pores.

[0079] When calculating the electrolyte filling amount in the pores of the electrodes and diaphragms, the porosity must first be calculated by subtracting the ratio of the compacted density of the electrode to its actual density from 1. Then, based on the number, length, width, thickness, and porosity of the electrodes or diaphragms, the pore volumes of the positive electrode, negative electrode, and diaphragm are calculated respectively.

[0080] Because the electrodes expand during charging and discharging, thus changing the porosity, this application considers the change in electrode thickness when determining the porosity. It first monitors the thickness change of the electrodes in real time during charging and discharging to obtain the expansion coefficient at each stage. This approach more accurately reflects the dynamic changes of the electrodes in actual use, making the calculation of pore filling amount closer to real-world conditions. Next, the initial porosity is calculated and then corrected based on the expansion coefficient to obtain the porosity after charging and discharging. Furthermore, to ensure sufficient electrolyte, this patent uses the porosity under the most unfavorable conditions during charging and discharging for calculation. Using the corrected maximum porosity as the calculation basis ensures that even under the most severe electrode expansion, there is sufficient electrolyte filling in the pores, avoiding battery performance degradation due to insufficient electrolyte. This effectively addresses the uncertainties caused by electrode expansion and improves the reliability and stability of the battery throughout its entire lifespan.

[0081] By adding the pore volumes of the positive electrode, negative electrode, and separator, and then multiplying by the electrolyte density, the amount of electrolyte that should fill the pores can be determined. This calculation method fully considers the changes in the electrode plates during battery use, accurately calculating the amount of electrolyte needed to fill the pores, ensuring that the pores are filled with an appropriate amount of electrolyte, and making the battery performance more stable.

[0082] Step S2: Calculate the amount of electrolyte to be filled at the bottom based on the volume of the bottom cavity, the volume of the bottom support plate, and the volume of the insulating film of the battery casing, combined with the electrolyte density.

[0083] Specifically, step S2 is used to calculate the amount of electrolyte required to fill the bottom of the battery, i.e., the bottom electrolyte volume. The important purpose of this calculation is to ensure that there is always sufficient electrolyte at the bottom of the battery throughout its entire life cycle, so as to achieve effective heat transfer with the external cooling system and maintain stable battery performance.

[0084] The first step in the calculation is to determine the volume of several key components. The bottom of the battery casing contains a cavity, the volume of which can be determined based on the casing's length, width, and the cavity's height. The base plate serves multiple functions, including insulation, support, and cushioning protection; its volume can be calculated using its length, width, and thickness. The insulating film acts as a barrier within the battery; its volume can also be determined based on its length, width, and thickness.

[0085] The calculation logic involves subtracting the space occupied by solid components such as the base plate and insulating film from the total volume of the bottom space of the battery to obtain the remaining volume of space available for electrolyte filling. Then, by combining this remaining volume with the electrolyte density, the amount of electrolyte to be filled at the bottom can be accurately calculated. During this process, special attention must be paid to whether the bottom casing will deform during battery aging, as this will change the remaining volume and affect the accuracy of the electrolyte filling amount. Therefore, this factor must be fully considered to ensure the reliability of the calculation results and ultimately guarantee the normal functioning of the battery's bottom heat transfer function.

[0086] The formula for calculating the amount of electrolyte filled at the bottom is:

[0087]

[0088] in, The amount of electrolyte to fill the bottom; , , These are the bottom cavity volume, the bottom support plate volume, and the insulating film volume, respectively. The bottom cavity volume is calculated based on the shell dimensions, and the bottom support plate volume and the insulating film volume are determined based on the geometric parameters of the bottom support plate and the insulating film, respectively. This represents the electrolyte density.

[0089] Step S3: Measure the remaining mass of the electrolyte after formation by internal standard extraction method, and calculate the amount of electrolyte consumed during the formation process by combining the injection volume and the amount of extractant added.

[0090] Specifically, the goal of step S3 is to calculate the amount of electrolyte consumed during battery formation. This is achieved using an internal standard extraction method. Initially, a certain amount of electrolyte (denoted as the initial injection volume) is injected into the battery. After battery formation, the battery is discharged to a depleted state, and then a certain mass of extractant (denoted as the amount of extractant added) is added. This extractant will act as an internal standard. After addition, the battery is sealed to allow the extractant to fully mix with the electrolyte inside the battery.

[0091] The electrolyte was then removed for testing. Two testing methods were used: gas chromatography (GC) to test the extractant content in the electrolyte (denoted as the mass percentage of the extractant in the solvent as measured by GC; this content only represents the percentage in the organic solvent and does not include lithium salts), and ion chromatography (IC) to test the lithium salt content in the electrolyte (denoted as the mass percentage of the lithium salt in the electrolyte as measured by ion chromatography). After adding the extractant, the total liquid mass in the battery became the initial injection volume plus the amount of extractant added.

[0092] Based on the previously measured data, the content of the extractant in the total electrolyte containing lithium salts can be calculated. With this content data, the mass of the remaining electrolyte in the battery can be calculated. Finally, subtracting the mass of the remaining electrolyte from the initial injection volume gives the amount of electrolyte consumed during the formation process.

[0093] Considering that conventional electrolytes contain lithium salts and solvents, GC and IC can only measure a portion of them. This application combines the two testing methods to accurately calculate the overall electrolyte and the proportion of each component, thereby calculating the accurate amount of electrolyte consumed.

[0094] The formula for calculating the consumption of the chemically formed electrolyte is as follows:

[0095]

[0096] in, This refers to the amount of electrolyte consumed during the formation process; This is the initial injection volume. This refers to the amount of extractant added. This represents the mass percentage of the extractant in the solvent, as determined by gas chromatography. The mass percentage of lithium salt in the electrolyte, as determined by ion chromatography.

[0097] Step S4: Obtain multi-temperature storage and cycling experimental data of electrolyte, construct an electrolyte consumption prediction model by fitting the relationship between electrolyte consumption and temperature and time using the Arrhenius formula, and predict the electrolyte consumption under comprehensive working conditions by combining the total warranty period.

[0098] Specifically, step S4 is used to predict the electrolyte consumption under comprehensive operating conditions. The first step is the data acquisition phase. To comprehensively understand the electrolyte consumption under different conditions, two types of experiments were conducted. One was a multi-temperature storage experiment, where the battery was stored at multiple different temperature points. For each temperature point, different time periods were set up. Throughout the storage process, the electrolyte consumption was continuously recorded, thus obtaining data on electrolyte consumption over time under different temperature environments. The other was a multi-temperature cycling test, where the battery underwent charge-discharge cycle tests at multiple temperature environments. Multiple different cycle periods and operating conditions were set, and the electrolyte consumption during the cycle was measured, thereby obtaining information on electrolyte consumption under different temperatures and different cycle conditions.

[0099] The next step is to construct a predictive model for electrolyte consumption. Based on the multi-temperature storage and cycling experimental data obtained earlier, the Arrhenius equation is used to fit the relationship between electrolyte consumption and temperature and time. The Arrhenius equation is commonly used to describe the relationship between reaction rate and factors such as temperature. Through fitting the experimental data, a predictive model that reflects the electrolyte consumption pattern is established.

[0100] Finally, by combining the total warranty period of the battery and using the established prediction model, the electrolyte consumption during battery operation under comprehensive operating conditions can be predicted, such as... Figure 2 As shown in the figure, this prediction result is crucial for the rational planning and optimization of electrolyte usage. It helps to consider electrolyte consumption in advance during battery design and use, ensuring stable battery performance and avoiding problems caused by insufficient or excessive electrolyte.

[0101] Specifically, the process of constructing an electrolyte consumption prediction model based on the multi-temperature storage and cycling experimental data of the electrolyte may include:

[0102] ① Store the battery at multiple temperature points, with different time periods set up at each temperature point, and record the amount of electrolyte consumed during storage;

[0103] ② The battery was subjected to charge-discharge cycle tests under multiple temperature environments. Multiple different cycle periods and operating conditions were set, and the electrolyte consumption during the cycle was measured.

[0104] ③Based on multi-temperature storage and cycling experimental data of electrolyte, the relationship between electrolyte consumption and temperature and time is fitted using the Arrhenius formula to establish an electrolyte consumption prediction model.

[0105] The formula for calculating the electrolyte consumption under the specified operating conditions is as follows:

[0106]

[0107] in, This refers to the electrolyte consumption under operating conditions. , As a pre-index factor; , For activation energy, , The activation energy and the reaction order are determined by fitting stored and cyclic experimental data. , These are the operating temperature and the storage temperature, respectively. , These are the running time and the idle time, respectively. is the gas constant.

[0108] This formula divides the calculation of electrolyte consumption under operating conditions into two parts, corresponding to electrolyte consumption in both operating and resting states. First, each part includes a factor related to reaction characteristics, reflecting microscopic mechanisms such as the frequency of reaction occurrence. Simultaneously, a portion considers the effect of temperature on the reaction, as temperature determines the energy barrier the reaction needs to overcome; higher temperatures facilitate the reaction, leading to faster electrolyte consumption. Furthermore, the time factor is also reflected in the formula; longer operating and resting times result in greater electrolyte consumption in the corresponding states. Moreover, a specific correlation exists between time and reaction rate, represented by a series. The parameters in the formula are obtained through analysis and processing of battery storage and cycling experimental data. For example, the energy barrier the reaction needs to overcome and the series correlation between time and reaction rate are obtained by fitting experimental data to find values ​​that best reflect actual conditions. Operating temperature, resting temperature, operating time, and resting time are determined based on the actual operating conditions of the battery. These parameters work together to accurately calculate the electrolyte consumption during battery operation and storage under specific operating conditions.

[0109] Step S5: Obtain electrolyte evaporation experimental data, construct a permeability calculation formula based on the functional relationship between permeability and time and ambient temperature obtained from regression analysis, and calculate electrolyte permeability in combination with the total shelf life.

[0110] Specifically, step S5 is used to calculate the electrolyte permeation rate. The purpose is to account for potential electrolyte evaporation losses during actual battery use due to issues such as poor sealing between the cover and casing, thereby accurately calculating the amount of loss during the warranty period.

[0111] The first stage involves acquiring experimental data. To simulate a poorly sealed scenario in real-world conditions, electrolyte was injected into simulated poorly sealed battery casings. These casings were then subjected to accelerated evaporation experiments at different temperature environments. During the experiments, the mass change of the casings was measured periodically. Since the decrease in mass represents the amount of electrolyte loss due to evaporation, this method was used to calculate the electrolyte evaporation loss, and the correlation between evaporation amount and time was recorded in detail. This data forms the basis for subsequent model building.

[0112] The next step is to construct the formula for calculating the permeation rate. By performing regression analysis on the previously obtained electrolyte evaporation experimental data, a linear relationship between permeation rate and time is established, that is, the change pattern of electrolyte permeation rate over time, such as... Figure 3 and Figure 4 As shown, where Figure 4 for Figure 3The diagram shows a partially enlarged view of the boxed section. Furthermore, considering the influence of temperature on electrolyte evaporation (i.e., temperature dependence), the model parameters were adjusted. This process resulted in a formula for calculating the permeability suitable for comprehensive operating conditions.

[0113] Finally, by combining the total warranty period of the battery with the established permeability calculation formula, the electrolyte permeability during the warranty period under comprehensive operating conditions can be calculated. This result is crucial for accurately assessing the electrolyte loss throughout the battery's lifespan, helping to more rationally plan the electrolyte usage during battery design and use, and avoiding impacts on battery performance due to insufficient estimation of electrolyte evaporation losses.

[0114] The process of constructing the permeation calculation formula based on the electrolyte evaporation experimental data may specifically include:

[0115] ① The electrolyte was injected into a simulated poorly sealed battery casing, and accelerated volatilization experiments were conducted under different temperature conditions;

[0116] ② Periodically measure the change in the shell mass, calculate the amount of electrolyte evaporation loss, and record the correlation data between evaporation amount and time;

[0117] ③ By using regression analysis of electrolyte volatilization experimental data, a linear relationship between permeation and time was established, and the model parameters were corrected based on temperature dependence to form a formula for calculating permeation under comprehensive operating conditions.

[0118] The formula for calculating the electrolyte permeation rate is:

[0119]

[0120]

[0121] in, This refers to the electrolyte permeation rate; The baseline transmittance coefficient; The activation energy for volatilization was determined by fitting experimental data on electrolyte volatilization. This is the average temperature under combined operating conditions; , These are the operating temperature and the storage temperature, respectively. , These are the running time and the idle time, respectively. is the gas constant.

[0122] The calculation first considers a baseline coefficient related to the electrolyte's permeation characteristics, reflecting its basic permeation capacity. Simultaneously, the energy required for evaporation is also considered, determined through analysis and fitting of electrolyte evaporation experimental data. Temperature is also a key factor affecting electrolyte permeation; here, the average temperature under comprehensive operating conditions is used, calculated from the operating temperature, resting temperature, and corresponding operating and resting times. The baseline permeation coefficient reflects the electrolyte's inherent permeation characteristics, the evaporation activation energy reflects the energy threshold for evaporation, the average temperature integrates operating and resting temperatures, and time measures the duration of the process. By determining these parameters and calculating according to the formula, the electrolyte permeation under comprehensive operating conditions can be obtained, accurately assessing electrolyte evaporation losses due to sealing issues. In this application, by introducing the important factor of electrolyte evaporation loss due to poor sealing, and through experimental design and the construction of a permeation calculation formula, the accuracy of electrolyte permeation calculation is improved, thus supplementing the calculation of electrolyte usage with an essential component and enhancing the reliability of electrolyte usage calculation.

[0123] Step S6: Determine the electrolyte usage boundary during the warranty period based on the pore electrolyte filling amount, the bottom filling electrolyte amount, the formation electrolyte consumption amount, the operating condition electrolyte consumption amount, and the electrolyte permeation amount, so as to optimize the electrolyte injection design.

[0124] Specifically, step S6 is used to determine the electrolyte usage boundary during the warranty period. The pore electrolyte filling amount is calculated based on the porosity, volume parameters, and electrolyte density of the electrodes and separator, ensuring that the internal pores of the battery are filled with an appropriate amount of electrolyte to guarantee basic battery performance. The bottom filling electrolyte amount is determined based on the volume of the bottom cavity of the battery casing, the bottom support plate, the insulating film, and the electrolyte density, ensuring effective heat transfer at the bottom of the battery throughout its lifespan and under external cooling. The formation electrolyte consumption is calculated using an internal standard extraction method combined with the injection volume and extractant addition amount, clarifying the electrolyte consumption during battery formation. The operating condition electrolyte consumption is calculated using a model constructed based on multi-temperature storage and cycling experimental data combined with the Arrhenius formula, predicting electrolyte consumption under comprehensive operating conditions. The electrolyte permeation rate is calculated based on a formula constructed from electrolyte evaporation experimental data, considering electrolyte evaporation losses caused by poor sealing, etc.

[0125] The electrolyte usage boundary value obtained by adding these five items covers the electrolyte usage requirements of the battery from various aspects, including the production process (formation), daily use conditions, internal structure filling, bottom heat transfer requirements, and possible evaporation losses. Figure 5As shown, this application provides a practical and reliable calculation method for determining the electrolyte dosage. Different electrolyte dosages can be determined based on variations in daily tooling, formation process, internal structure filling, and bottom heat transfer. By integrating multi-dimensional data, a more comprehensive electrolyte filling calculation model is established. This not only improves the accuracy of electrolyte dosage calculations and avoids the problem of relying on empirical values, but also allows for adjustments based on different operating conditions, formation processes, internal structures, and bottom heat transfer, improving overall applicability. By determining this boundary value, the battery electrolyte injection volume can be accurately planned, avoiding performance degradation or cost waste due to improper electrolyte volume. This achieves a balance between battery performance and cost optimization, guiding the rational design of electrolyte injection volume in battery production.

[0126] The formula for calculating the electrolyte usage boundary during the warranty period is as follows:

[0127]

[0128] Among them, the boundary value of electrolyte usage during the warranty period; This refers to the amount of electrolyte filling the pores. The amount of electrolyte to fill the bottom; This refers to the amount of electrolyte consumed during the formation process; This refers to the electrolyte consumption under operating conditions. This represents the electrolyte permeation rate.

[0129] As can be seen from the above technical solutions, the battery electrolyte usage boundary determination method and related equipment provided in this application embodiment achieve the beneficial effects of accurately determining the electrolyte usage boundary during the warranty period and optimizing the electrolyte injection design. Specifically, the solution first accurately calculates the pore electrolyte filling amount based on the porosity, volume parameters, and electrolyte density of the electrode and separator, fully considering the electrolyte requirements of the internal electrode and separator of the battery, and avoiding the impact on battery performance due to insufficient filling; at the same time, by considering the bottom cavity volume, bottom support plate volume, and insulating film volume of the battery casing, and combining the electrolyte density, the bottom filling electrolyte amount is accurately calculated to ensure that there is sufficient electrolyte filling at the bottom throughout the battery's entire life cycle and to maintain stable bottom heat transfer performance. In terms of electrolyte consumption calculation, the internal standard extraction method is used to measure the remaining mass of electrolyte after formation. Combined with the injection volume and the amount of extractant added, the electrolyte consumption during formation is accurately determined, making the electrolyte usage calculation more consistent with the actual production process. Data from multi-temperature storage and cycling experiments of electrolyte are obtained, and a predictive model is constructed by fitting the relationship between electrolyte consumption and temperature and time using the Arrhenius formula. This model considers the impact of different temperature and time conditions on electrolyte consumption and can more accurately predict the electrolyte consumption of the battery under actual operating conditions, avoiding battery performance degradation due to insufficient electrolyte. Data from electrolyte volatilization experiments are obtained, and a permeation calculation formula is constructed based on regression analysis. This model takes into account electrolyte volatilization losses caused by poor sealing of the cover and shell, and reasonably calculates the electrolyte permeation. Finally, by comprehensively considering the amount of pore electrolyte filling, the amount of bottom-filled electrolyte, the amount of formation electrolyte consumed, the amount of electrolyte consumed under operating conditions, and the amount of electrolyte permeation, the electrolyte usage boundary during the warranty period is determined. By accurately determining the electrolyte usage boundary during the warranty period, an optimized design for electrolyte usage that balances performance and cost is achieved, while avoiding performance degradation or cost waste caused by improper electrolyte usage.

[0130] The following example illustrates this application:

[0131] The design parameters of each battery in a certain battery model are shown in Table 1:

[0132] Table 1

[0133]

[0134] If the electrolyte density is 1.1 g / ml, then the amount of electrolyte filled in the electrode / diaphragm porosity M1 = (positive electrode pore volume + negative electrode pore volume + diaphragm pore volume) * electrolyte density = 406.23 g.

[0135] Table 2

[0136]

[0137] The bottom dimensions of the battery cell are shown in Table 2. Therefore, the volume of electrolyte filling at the bottom = volume of the aluminum shell bottom - volume of the bottom support plate - volume of the insulating film = 610 mm³. Thus, the required electrolyte filling amount M² = bottom electrolyte volume * electrolyte density = 0.671 g.

[0138] The battery had an electrolyte injection volume of 525g. After formation, the battery was discharged to empty capacity, and 20g of extractant was added. The battery was sealed, and the extractant was thoroughly mixed inside. The electrolyte was then removed, and the extractant content (excluding lithium salt) and lithium salt content in the electrolyte were measured using GC and IC, respectively, and found to be 4.34% and 13.10%. After adding the extractant, the liquid mass in the battery was 545g, indicating that the extractant accounted for 3.77% of the total electrolyte content. Based on the formula, the remaining electrolyte mass in the battery was calculated to be 510.8g, meaning that the electrolyte consumption (M3) during formation was 14.2g.

[0139] Batteries were stored at 30℃, 45℃, and 60℃ for 15, 30, 60, 90, and 120 days respectively. The electrolyte consumption was calculated for each storage period, establishing the relationship between electrolyte consumption at different temperatures and time. The electrolyte consumption during storage under comprehensive operating conditions was then calculated using the Arrhenius equation. Similarly, batteries were cycled at 25℃, 45℃, and 55℃ for 15, 30, 60, 90, and 120 days respectively. The electrolyte consumption during cycling was calculated for each cycling period, establishing the relationship between electrolyte consumption at different temperatures and time. The electrolyte consumption during cycling under comprehensive operating conditions was then calculated using the Arrhenius equation.

[0140] The vehicle's daily operating time under comprehensive working conditions is The settling time is 4 hours. The time frame is 20 hours, the vehicle operating temperature is 45℃, the ambient temperature during vehicle parking is 30℃, and the electrolyte consumption at T=45℃ during vehicle operation is 0.0009* ^0.56, Electrolyte consumption under vehicle idle conditions (T=30℃) = 0.001102 * ^0.55, then the electrolyte consumption M4 under comprehensive operating conditions = 0.0009* ^0.56+0.001102* ^0.55, such as Figure 1 As shown in Table 3, the electrolyte consumption under comprehensive operating conditions is as follows.

[0141] Table 3

[0142]

[0143] A certain amount of electrolyte was injected into a coreless aluminum casing. The cell was then placed at 40℃, 60℃, and 80℃, and the battery weight was measured periodically. The weight loss was calculated by subtracting the initial cell weight from the battery mass. This electrolyte weight loss was due to evaporation caused by poor sealing between the cover and the aluminum casing. The correlation between weight loss (transmission rate) and time was established to predict the electrolyte transmission rate under operating conditions. The vehicle operating temperature under the comprehensive operating conditions was T1, and the operating time was [not specified]. The ambient temperature during the vehicle's placement was T2, and the placement time was [missing information]. The average temperature of the vehicle during the day The electrolyte permeation rate M5 at temperature T was calculated based on the Arrhenius formula.

[0144] The electrolyte usage requirement M = M1 + M2 + M3 + M4 + M5, as shown in Table 4. Under a comprehensive 10-year warranty, the required electrolyte usage is 489.57g. When the injection volume is 525g, the electrolyte's usable lifespan is 20 years. Based on this electrolyte usage calculation logic, the minimum injection volume required under the desired warranty conditions can be obtained, and the safe service life of the battery cell under a certain injection volume can be predicted.

[0145] Table 4

[0146]

[0147] The following describes a method and apparatus for determining the boundary of battery electrolyte usage provided in an embodiment of this application. The method and apparatus for determining the boundary of battery electrolyte usage described below can be referred to in correspondence with the method for determining the boundary of battery electrolyte usage described above.

[0148] See Figure 6 , Figure 6 This is a schematic diagram of a battery electrolyte usage boundary determination method device disclosed in an embodiment of this application.

[0149] like Figure 6 As shown, the apparatus for determining the boundary of battery electrolyte usage may include:

[0150] The pore electrolyte filling unit 110 is used to determine the pore electrolyte filling amount based on the porosity, volume parameters and electrolyte density of the electrode and the diaphragm by calculating the total volume of the pores of the electrode and the diaphragm and combining it with the electrolyte density.

[0151] Bottom filling unit 120 is used to calculate the amount of bottom-filled electrolyte based on the bottom cavity volume, bottom support plate volume, and insulating film volume of the battery casing, combined with the electrolyte density.

[0152] The formation consumption unit 130 is used to measure the remaining mass of electrolyte after formation by internal standard extraction method, and to calculate the amount of electrolyte consumed during the formation process by combining the injection volume and the amount of extractant added.

[0153] The working condition consumption unit 140 is used to acquire electrolyte multi-temperature storage and cycle test data, and construct an electrolyte consumption prediction model by combining the relationship between electrolyte consumption and temperature and time fitted by the Arrhenius formula, and predict the working condition electrolyte consumption under comprehensive working conditions by combining the total warranty period.

[0154] The evaporation permeation unit 150 is used to acquire electrolyte evaporation experimental data. Based on the functional relationship between permeation amount and time and ambient temperature obtained from regression analysis, a permeation amount calculation formula is constructed, and the electrolyte permeation amount is calculated in combination with the total shelf life.

[0155] The dosage boundary unit 160 is used to determine the electrolyte dosage boundary during the warranty period based on the amount of pore electrolyte filling, the amount of bottom-filled electrolyte, the amount of formation electrolyte consumed, the amount of working electrolyte consumed, and the amount of electrolyte permeation, so as to optimize the electrolyte injection design.

[0156] As can be seen from the above technical solutions, the battery electrolyte usage boundary determination method and related equipment provided in this application embodiment achieve the beneficial effects of accurately determining the electrolyte usage boundary during the warranty period and optimizing the electrolyte injection design. Specifically, the solution first accurately calculates the pore electrolyte filling amount based on the porosity, volume parameters, and electrolyte density of the electrode and separator, fully considering the electrolyte requirements of the internal electrode and separator of the battery, and avoiding the impact on battery performance due to insufficient filling; at the same time, by considering the bottom cavity volume, bottom support plate volume, and insulating film volume of the battery casing, and combining the electrolyte density, the bottom filling electrolyte amount is accurately calculated to ensure that there is sufficient electrolyte filling at the bottom throughout the battery's entire life cycle and to maintain stable bottom heat transfer performance. In terms of electrolyte consumption calculation, the internal standard extraction method is used to measure the remaining mass of electrolyte after formation. Combined with the injection volume and the amount of extractant added, the electrolyte consumption during formation is accurately determined, making the electrolyte usage calculation more consistent with the actual production process. Data from multi-temperature storage and cycling experiments of electrolyte are obtained, and a predictive model is constructed by fitting the relationship between electrolyte consumption and temperature and time using the Arrhenius formula. This model considers the impact of different temperature and time conditions on electrolyte consumption and can more accurately predict the electrolyte consumption of the battery under actual operating conditions, avoiding battery performance degradation due to insufficient electrolyte. Data from electrolyte volatilization experiments are obtained, and a permeation calculation formula is constructed based on regression analysis. This model takes into account electrolyte volatilization losses caused by poor sealing of the cover and shell, and reasonably calculates the electrolyte permeation. Finally, by comprehensively considering the amount of pore electrolyte filling, the amount of bottom-filled electrolyte, the amount of formation electrolyte consumed, the amount of electrolyte consumed under operating conditions, and the amount of electrolyte permeation, the electrolyte usage boundary during the warranty period is determined. By accurately determining the electrolyte usage boundary during the warranty period, an optimized design for electrolyte usage that balances performance and cost is achieved, while avoiding performance degradation or cost waste caused by improper electrolyte usage.

[0157] The battery electrolyte usage boundary determination method and apparatus provided in this application embodiment can be applied to battery electrolyte usage boundary determination method equipment. Figure 7 The hardware structure block diagram of the device for determining the boundary of battery electrolyte usage is shown. (Refer to...) Figure 7 The hardware structure of the battery electrolyte usage boundary determination method device may include: at least one processor 1, at least one communication interface 2, at least one memory 3 and at least one communication bus 4;

[0158] In this embodiment of the application, the number of processor 1, communication interface 2, memory 3, and communication bus 4 is at least one, and processor 1, communication interface 2, and memory 3 communicate with each other through communication bus 4;

[0159] Processor 1 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention.

[0160] Memory 3 may include high-speed RAM, and may also include non-volatile memory, such as at least one disk storage device;

[0161] The memory stores a program, which the processor can call. The program is used for:

[0162] Based on the porosity, volume parameters, and electrolyte density of the electrode and diaphragm, the electrolyte filling amount in the pores is determined by calculating the total volume of the pores in the electrode and diaphragm and combining it with the electrolyte density.

[0163] The amount of electrolyte filled at the bottom is calculated based on the volume of the bottom cavity, the volume of the bottom support plate, and the volume of the insulating film of the battery casing, combined with the electrolyte density.

[0164] The remaining mass of electrolyte after formation was measured by internal standard extraction method. Combined with the injection volume and the amount of extractant added, the amount of electrolyte consumed during the formation process was calculated.

[0165] Acquire multi-temperature storage and cycling experimental data of electrolyte, construct an electrolyte consumption prediction model by combining the relationship between electrolyte consumption and temperature and time fitted by the Arrhenius formula, and predict the electrolyte consumption under comprehensive working conditions by combining the total warranty period.

[0166] Obtain electrolyte evaporation experimental data, construct a permeation calculation formula based on the functional relationship between permeation and time and ambient temperature obtained from regression analysis, and calculate the electrolyte permeation in combination with the total shelf life.

[0167] Based on the amount of pore electrolyte filled, the amount of bottom-filled electrolyte, the amount of formation electrolyte consumed, the amount of working electrolyte consumed, and the amount of electrolyte permeation, the electrolyte usage boundary during the warranty period is determined to optimize the electrolyte injection design.

[0168] Optionally, the refined and extended functions of the program can be referred to the above description.

[0169] This application embodiment also provides a readable storage medium that can store a program suitable for execution by a processor, the program being used for:

[0170] Based on the porosity, volume parameters, and electrolyte density of the electrode and diaphragm, the electrolyte filling amount in the pores is determined by calculating the total volume of the pores in the electrode and diaphragm and combining it with the electrolyte density.

[0171] The amount of electrolyte filled at the bottom is calculated based on the volume of the bottom cavity, the volume of the bottom support plate, and the volume of the insulating film of the battery casing, combined with the electrolyte density.

[0172] The remaining mass of electrolyte after formation was measured by internal standard extraction method. Combined with the injection volume and the amount of extractant added, the amount of electrolyte consumed during the formation process was calculated.

[0173] Acquire multi-temperature storage and cycling experimental data of electrolyte, construct an electrolyte consumption prediction model by combining the relationship between electrolyte consumption and temperature and time fitted by the Arrhenius formula, and predict the electrolyte consumption under comprehensive working conditions by combining the total warranty period.

[0174] Obtain electrolyte evaporation experimental data, construct a permeation calculation formula based on the functional relationship between permeation and time and ambient temperature obtained from regression analysis, and calculate the electrolyte permeation in combination with the total shelf life.

[0175] Based on the amount of pore electrolyte filled, the amount of bottom-filled electrolyte, the amount of formation electrolyte consumed, the amount of working electrolyte consumed, and the amount of electrolyte permeation, the electrolyte usage boundary during the warranty period is determined to optimize the electrolyte injection design.

[0176] Optionally, the refined and extended functions of the program can be referred to the above description.

[0177] This application also provides a computer program product, including a computer program, wherein the computer program is executed by a processor using the following method:

[0178] Based on the porosity, volume parameters, and electrolyte density of the electrode and diaphragm, the electrolyte filling amount in the pores is determined by calculating the total volume of the pores in the electrode and diaphragm and combining it with the electrolyte density.

[0179] The amount of electrolyte filled at the bottom is calculated based on the volume of the bottom cavity, the volume of the bottom support plate, and the volume of the insulating film of the battery casing, combined with the electrolyte density.

[0180] The remaining mass of electrolyte after formation was measured by internal standard extraction method. Combined with the injection volume and the amount of extractant added, the amount of electrolyte consumed during the formation process was calculated.

[0181] Acquire multi-temperature storage and cycling experimental data of electrolyte, construct an electrolyte consumption prediction model by combining the relationship between electrolyte consumption and temperature and time fitted by the Arrhenius formula, and predict the electrolyte consumption under comprehensive working conditions by combining the total warranty period.

[0182] Obtain electrolyte evaporation experimental data, construct a permeation calculation formula based on the functional relationship between permeation and time and ambient temperature obtained from regression analysis, and calculate the electrolyte permeation in combination with the total shelf life.

[0183] Based on the amount of pore electrolyte filled, the amount of bottom-filled electrolyte, the amount of formation electrolyte consumed, the amount of working electrolyte consumed, and the amount of electrolyte permeation, the electrolyte usage boundary during the warranty period is determined to optimize the electrolyte injection design.

[0184] Optionally, the refined and extended functions of the program can be referred to the above description.

[0185] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only 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.

[0186] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0187] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. 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 application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for determining the boundary of battery electrolyte usage, characterized in that, include: Based on the porosity, volume parameters, and electrolyte density of the electrode and diaphragm, the electrolyte filling amount in the pores is determined by calculating the total volume of the pores in the electrode and diaphragm and combining it with the electrolyte density. The amount of electrolyte filled at the bottom is calculated based on the volume of the bottom cavity, the volume of the bottom support plate, and the volume of the insulating film of the battery casing, combined with the electrolyte density. The remaining mass of electrolyte after formation was measured by internal standard extraction method. Combined with the injection volume and the amount of extractant added, the amount of electrolyte consumed during the formation process was calculated. Acquire multi-temperature storage and cycling experimental data of electrolyte, construct an electrolyte consumption prediction model by combining the relationship between electrolyte consumption and temperature and time fitted by the Arrhenius formula, and predict the electrolyte consumption under comprehensive working conditions by combining the total warranty period. Obtain electrolyte evaporation experimental data, construct a permeation calculation formula based on the functional relationship between permeation and time and ambient temperature obtained from regression analysis, and calculate the electrolyte permeation in combination with the total shelf life. Based on the amount of pore electrolyte filled, the amount of bottom-filled electrolyte, the amount of formation electrolyte consumed, the amount of working electrolyte consumed, and the amount of electrolyte permeation, the electrolyte usage boundary during the warranty period is determined to optimize the electrolyte injection design.

2. The method according to claim 1, characterized in that, The formula for calculating the amount of pore electrolyte filling is: in, This refers to the amount of electrolyte filling the pores. , , These are the positive electrode pore volume, negative electrode pore volume, and membrane pore volume, respectively. Each pore volume is calculated based on the number, size, and porosity of the electrodes or membranes. The electrolyte density; The formula for calculating the amount of electrolyte filled at the bottom is: in, The amount of electrolyte to fill the bottom; , , These are the bottom cavity volume, the bottom support plate volume, and the insulating film volume, respectively. The bottom cavity volume is calculated based on the shell dimensions, and the bottom support plate volume and the insulating film volume are determined based on the geometric parameters of the bottom support plate and the insulating film, respectively. The electrolyte density; The formula for calculating the consumption of the chemically formed electrolyte is as follows: in, This refers to the amount of electrolyte consumed during the formation process; This is the initial injection volume. This refers to the amount of extractant added. This represents the mass percentage of the extractant in the solvent, as determined by gas chromatography. The mass percentage of lithium salt in the electrolyte, as determined by ion chromatography; The formula for calculating the electrolyte consumption under the specified operating conditions is as follows: in, This refers to the electrolyte consumption under operating conditions. , As a pre-index factor; , n1 and n2 are the activation energy and the reaction order, respectively. The activation energy and the reaction order are determined by fitting stored and cyclic experimental data. , These are the operating temperature and the storage temperature, respectively. , These are the running time and the idle time, respectively. It is the gas constant; The formula for calculating the electrolyte permeation rate is: in, This refers to the electrolyte permeation rate; The baseline transmittance coefficient; The activation energy for volatilization was determined by fitting experimental data on electrolyte volatilization. This is the average temperature under combined operating conditions; , These are the operating temperature and the storage temperature, respectively. , These are the running time and the idle time, respectively. is the gas constant.

3. The method according to claim 2, characterized in that, The process of determining the porosity includes: During the battery charging and discharging process, the thickness change of the electrode is monitored in real time, and the expansion coefficient of the electrode at each stage of charging and discharging is generated. The initial porosity is calculated based on the ratio of the electrode compaction density to the actual density. The initial porosity is corrected based on the expansion coefficient to generate the porosity after charging and discharging, which is used to calculate the amount of electrolyte filling the pores.

4. The method according to claim 1, characterized in that, The process of constructing an electrolyte consumption prediction model based on the multi-temperature storage and cycling experimental data of the electrolyte includes: The batteries were stored at multiple temperature points, with different time periods set up at each temperature point, and the amount of electrolyte consumed during storage was recorded. The battery was subjected to charge-discharge cycle tests under multiple temperature environments. Multiple different cycle periods and operating conditions were set, and the electrolyte consumption during the cycle was measured. Based on experimental data of electrolyte storage and cycling at multiple temperatures, the relationship between electrolyte consumption and temperature and time was fitted using the Arrhenius equation, and an electrolyte consumption prediction model was established.

5. The method according to claim 1, characterized in that, The process of constructing a permeation calculation formula based on the electrolyte evaporation experimental data includes: Electrolyte was injected into a simulated poorly sealed battery casing, and accelerated volatilization experiments were conducted under different temperature conditions. Periodically measure changes in the shell mass, calculate electrolyte evaporation loss, and record the correlation data between evaporation and time; By using regression analysis of electrolyte evaporation experimental data, a linear relationship between permeation and time was established. Based on temperature dependence, the model parameters were corrected to form a formula for calculating permeation under comprehensive operating conditions.

6. The method according to claim 1, characterized in that, The formula for calculating the electrolyte usage boundary during the warranty period is as follows: Where M is the boundary value of electrolyte usage during the shelf life; This refers to the amount of electrolyte filling the pores. The amount of electrolyte to fill the bottom; This refers to the amount of electrolyte consumed during the formation process; This refers to the electrolyte consumption under operating conditions. This represents the electrolyte permeation rate.

7. A method and apparatus for determining the boundary of battery electrolyte usage, characterized in that, include: The pore electrolyte filling unit is used to determine the pore electrolyte filling amount based on the porosity, volume parameters and electrolyte density of the electrode and the diaphragm by calculating the total volume of the pores of the electrode and the diaphragm and combining it with the electrolyte density. The bottom filling unit is used to calculate the amount of electrolyte to be filled at the bottom based on the volume of the bottom cavity of the battery casing, the volume of the bottom support plate, and the volume of the insulating film, combined with the electrolyte density. The formation consumption unit is used to measure the remaining mass of electrolyte after formation by internal standard extraction method, and to calculate the amount of electrolyte consumed during the formation process by combining the injection volume and the amount of extractant added. The working condition consumption unit is used to acquire electrolyte storage and cycle test data at multiple temperatures. It combines the relationship between electrolyte consumption and temperature and time fitted by the Arrhenius formula to construct an electrolyte consumption prediction model. It also combines the total warranty period time to predict the working condition electrolyte consumption under comprehensive working conditions. The evaporation permeation unit is used to acquire electrolyte evaporation experimental data. Based on the functional relationship between permeation amount and time and ambient temperature obtained from regression analysis, a permeation amount calculation formula is constructed, and the electrolyte permeation amount is calculated in combination with the total shelf life. The dosage boundary unit is used to determine the electrolyte dosage boundary during the warranty period based on the pore electrolyte filling amount, the bottom filling electrolyte amount, the formation electrolyte consumption amount, the operating condition electrolyte consumption amount, and the electrolyte permeation amount, so as to optimize the electrolyte injection design.

8. A method and apparatus for determining the boundary of battery electrolyte usage, characterized in that, Including memory and processor; The memory is used to store programs; The processor is configured to execute the program to implement each step of the method for determining the boundary of battery electrolyte usage as described in any one of claims 1-6.

9. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements each step of the method for determining the boundary of battery electrolyte usage as described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, The computer program, when run by a processor, executes the steps of the battery electrolyte usage boundary determination method as described in any one of claims 1-6.

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