Carbon emission analysis method and system for lithium-ion battery, and device and medium

Abstract

The present invention relates to the technical field of carbon emission analysis. Disclosed are a carbon emission analysis method and system for a lithium-ion battery, and a device and a medium. The method comprises: calculating fuel carbon emission data of an upstream enterprise, and usage-stage carbon emission data and recovery-stage carbon emission data of a lithium-ion battery; calculating correction coefficients on the basis of the fuel carbon emission data, the usage-stage carbon emission data and the recovery-stage carbon emission data; and calculating planned carbon emission data for the lithium-ion battery on the basis of planned carbon emission data of the upstream enterprise and the correction coefficients, wherein the planned carbon emission data comprises usage-stage planned carbon emission data and recovery-stage planned carbon emission data. In the present invention, an actual carbon emission amount of a lithium-ion battery is accurately calculated and a planned carbon emission amount is corrected by means of carbon emission correction coefficients, such that the difference between the carbon emission amount of an upstream enterprise of the lithium ion battery and the carbon emission amount of a downstream enterprise of the lithium ion battery is coordinated, thereby facilitating the establishment of an integrated carbon-emission-amount planning system for a whole industrial chain.

Description

A method, system, device and medium for analyzing carbon emissions of lithium-ion batteries Technical Field

[0001] The present invention relates to the technical field of carbon emission analysis, and in particular to a method, system, equipment and medium for analyzing carbon emissions of lithium-ion batteries. Background Art

[0002] Carbon emissions refer to the emission of greenhouse gases such as carbon dioxide produced during energy consumption and are directly related to climate change. Sources of carbon emissions include the combustion of fossil fuels such as coal, oil, and natural gas, as well as activities in various fields such as industrial production and transportation. Achieving carbon peak and carbon neutrality is a broad and profound systemic change in the economic and social system. To mitigate the impact of climate change on human society and the natural environment, countries and international organizations are implementing emission reduction and adaptation measures. By reducing carbon emissions, enhancing adaptability and improving environmental management capabilities, more and more battery companies are realizing the importance of strengthening carbon emission management in the production process of lithium-ion batteries. For the lithium-ion battery industry to achieve its zero-carbon goal, it is inseparable from the joint cooperation and collaboration of upstream and downstream of the industrial chain.

[0003] However, existing technologies do not consider the special properties of batteries when analyzing carbon emissions, resulting in inconsistent carbon emissions calculations by upstream and downstream companies. For example, lithium-ion batteries will naturally discharge over time, resulting in different carbon emissions per unit of electricity supplied and per unit of electricity actually used, which in turn leads to errors in the carbon emissions planning of the upstream and downstream industrial chains.

[0004] Summary of the Invention

[0005] In order to solve the above technical problems, the present invention provides a carbon emission analysis method, system, equipment and medium for lithium-ion batteries, which can solve the problem that traditional carbon emission analysis methods do not take into account the characteristics of lithium-ion batteries and are inconsistent with actual carbon emissions, realize the integrated analysis of carbon emissions of the entire industry chain, and coordinate the differences in carbon emission plans of upstream and downstream lithium-ion battery companies.

[0006] In a first aspect, the present invention provides a method for analyzing carbon emissions of a lithium-ion battery, the method comprising:

[0007] Calculate the fuel carbon emissions data of upstream enterprises, as well as the carbon emissions data of the use and recycling stages of lithium-ion batteries;

[0008] Calculating a correction factor based on the fuel carbon emission data, the use phase carbon emission data, and the recovery phase carbon emission data, wherein the correction factor includes a use phase correction factor and a recovery phase correction factor;

[0009] The planned carbon emission data of the lithium-ion battery is calculated based on the planned carbon emission data of the upstream enterprise and the correction coefficient, wherein the planned carbon emission data includes the planned carbon emission data of the use stage and the planned carbon emission data of the recycling stage.

[0010] Furthermore, the steps of separately calculating the fuel carbon emission data of the upstream enterprises, and the carbon emission data of the lithium-ion batteries during the use phase and the carbon emission data during the recycling phase include:

[0011] Calculate the fuel carbon emissions data of upstream enterprises based on the fuel used by upstream enterprises;

[0012] Calculate the carbon emissions data of lithium-ion batteries during their use phase based on how they are used;

[0013] Based on the recycling method of lithium-ion batteries, calculate the carbon emission data of the recycling stage of lithium-ion batteries.

[0014] Furthermore, the fuel carbon emission data includes carbon emission data from fossil fuel combustion and carbon emission data from flue gas desulfurization process;

[0015] Carbon emissions from fossil fuel combustion are calculated using the following formula: C1 = A × EF a

[0016] Where A represents the activity level, EF a represents the fuel emission factor;

[0017] The carbon emission data of the flue gas desulfurization process is calculated using the following formula: C2=CAL×EF b

[0018] In the formula, CAL represents carbonate consumption, EF b represents the desulfurization agent emission factor;

[0019] The carbon emissions data for the use phase are calculated using the following formula:

[0020] Where FC represents the electricity consumption per 100 kilometers, L represents the mileage of the vehicle over its entire life cycle, μ represents the charging efficiency of the lithium-ion battery, and k represents the carbon emission factor of electricity production.

[0021] Furthermore, the step of calculating the carbon emission data of the recycling stage of the lithium-ion battery according to the recycling method of the lithium-ion battery includes:

[0022] According to the recycling method of lithium-ion batteries, the recycling stage of lithium-ion batteries is divided into several sub-recycling stages;

[0023] Calculate the sub-stage carbon emission data generated in each recycling sub-stage based on the input materials of each recycling sub-stage, and take the sum of the carbon emission data of each sub-stage as the carbon emission data of the recycling stage;

[0024] The carbon emission data of the recycling stage is calculated using the following formula:

[0025] Where m represents the total number of sub-recycling stages, E j represents the carbon emission data of the jth sub-recycling stage, n represents the total number of input materials in the jth sub-recycling stage, AD i represents the usage of the i-th input material, EF i represents the emission factor of the i-th input material.

[0026] Furthermore, the step of calculating the correction coefficient based on the fuel carbon emission data, the use phase carbon emission data, and the recovery phase carbon emission data includes:

[0027] The ratio of the carbon emission data during the use phase to the carbon emission data of the fuel is used as a correction factor during the use phase;

[0028] The ratio of the carbon emission data in the recovery phase to the carbon emission data in the fuel is used as a correction coefficient for the recovery phase.

[0029] Furthermore, the step of calculating the planned carbon emission data of the lithium-ion battery based on the planned carbon emission data of the upstream enterprise and the correction coefficient includes:

[0030] The product of the upstream enterprise's planned carbon emission data and the use phase correction coefficient is used as the lithium-ion battery's use phase planned carbon emission data;

[0031] The product of the upstream enterprise's planned carbon emission data and the recovery stage correction coefficient is used as the planned carbon emission data for the recovery stage of the lithium-ion battery.

[0032] Furthermore, the recovery stage includes a battery thermal decomposition stage, a battery leaching stage, a battery extraction stage, a battery precipitation stage and a battery calcination stage;

[0033] The input materials for the battery thermal decomposition stage include natural gas and carbon dioxide, the input materials for the battery leaching stage include sulfuric acid, hydrogen peroxide and steam, the input materials for the battery extraction stage include extractant, kerosene and sulfuric acid, the input materials for the battery precipitation stage include sodium hydroxide, ammonia water and steam, and the input materials for the battery calcination stage include lithium carbonate.

[0034] In a second aspect, the present invention provides a carbon emission analysis system for lithium-ion batteries, the system comprising:

[0035] The first carbon emission calculation module is used to calculate the fuel carbon emission data of upstream enterprises, as well as the carbon emission data of the use phase and the carbon emission data of the recycling phase of lithium-ion batteries;

[0036] a correction coefficient calculation module, configured to calculate a correction coefficient based on the fuel carbon emission data, the use phase carbon emission data, and the recovery phase carbon emission data, wherein the correction coefficient includes a use phase correction coefficient and a recovery phase correction coefficient;

[0037] The second carbon emission calculation module is used to calculate the planned carbon emission data of the lithium-ion battery according to the planned carbon emission data of the upstream enterprise and the correction coefficient, wherein the planned carbon emission data includes the planned carbon emission data of the use stage and the planned carbon emission data of the recycling stage.

[0038] In a third aspect, an embodiment of the present invention further provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0039] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0040] The present invention provides a method, system, computer device, and storage medium for analyzing carbon emissions from lithium-ion batteries. This method addresses the problem that traditional carbon emissions analysis methods fail to consider the characteristics of lithium-ion batteries and are inconsistent with actual carbon emissions. It achieves an integrated analysis of carbon emissions across the entire industry chain, reconciles differences in carbon emissions between upstream and downstream lithium-ion battery companies, and provides refined data support for carbon emissions management in battery companies, which is highly significant for energy conservation and emission reduction in the battery sector. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] FIG1 is a schematic flow chart of a method for analyzing carbon emissions of a lithium-ion battery according to an embodiment of the present invention;

[0042] FIG2 is a schematic structural diagram of a carbon emission analysis system for lithium-ion batteries according to an embodiment of the present invention;

[0043] FIG3 is a diagram showing the internal structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0044] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0045] Please refer to FIG1 , which shows a method for analyzing carbon emissions of a lithium-ion battery according to a first embodiment of the present invention, including steps S10 to S30:

[0046] Step S10, respectively calculating the fuel carbon emission data of the upstream enterprises, and the carbon emission data of the lithium-ion batteries during the use phase and the carbon emission data during the recycling phase;

[0047] Step S20, calculating a correction coefficient based on the fuel carbon emission data, the use phase carbon emission data, and the recovery phase carbon emission data, wherein the correction coefficient includes a use phase correction coefficient and a recovery phase correction coefficient;

[0048] Step S30, calculating the planned carbon emission data of the lithium-ion battery according to the planned carbon emission data of the upstream enterprise and the correction coefficient, wherein the planned carbon emission data includes the planned carbon emission data of the use phase and the planned carbon emission data of the recycling phase.

[0049] Existing carbon emissions calculation methods typically simply equate the carbon emissions corresponding to the supplied electricity with the carbon emissions during the lithium-ion battery's usage phase, without taking into account the special properties of batteries, such as the natural loss of power. As a result, the carbon emissions per unit of electricity supplied differ from the carbon emissions per unit of electricity actually used, leading to errors in the carbon emissions planning of upstream and downstream industry chains. To address this issue, the present invention provides a carbon emissions analysis method for lithium-ion batteries to accurately estimate the planned carbon emissions of lithium-ion batteries. Specifically, the carbon emissions of upstream enterprises and the relevant carbon emissions of lithium-ion batteries are first calculated. The calculation steps include:

[0050] Step S101, calculating the fuel carbon emission data of the upstream enterprise based on the fuel used by the upstream enterprise;

[0051] Step S102, calculating the carbon emission data of the lithium-ion battery during its use phase according to the use mode of the lithium-ion battery;

[0052] Step S103 , calculating the carbon emission data of the lithium-ion battery during the recycling phase according to the recycling method of the lithium-ion battery.

[0053] In this embodiment, the upstream enterprise's fuel carbon emission data is calculated based on the fuel used by the upstream enterprise. The upstream enterprise's fuel carbon emission data is mainly composed of the carbon emission data generated by the combustion of fossil fuels and the carbon emission data generated by the desulfurization of the flue gas generated by the combustion, that is, the carbon emission data of fossil fuel combustion and the carbon emission data of the flue gas desulfurization process. Among them, the carbon emission data of fossil fuel combustion is calculated by the following formula: C1 = A × EF a

[0054] Where A represents the activity level, EF a represents the fuel emission factor.

[0055] The carbon emission data of the flue gas desulfurization process is calculated by the following formula: C2=CAL×EF b

[0056] In the formula, CAL represents carbonate consumption, EF b Represents the desulfurization agent emission factor.

[0057] Specifically, the activity level in the fossil fuel combustion carbon emission data is calculated from the fossil fuel consumption and the average lower calorific value, and the calculation formula is: A = FC × NCV

[0058] Where FC represents the consumption of fossil fuels, and NCV represents the average lower calorific value of fossil fuels.

[0059] Fossil fuels include coal, oil, and natural gas. In actual statistics, fossil fuels can be calculated using either monthly or annual consumption. Consumption can also be broken down to daily consumption based on actual conditions. The average lower calorific value of fossil fuels is calculated using the consumption statistics method to produce a monthly or annual average. The monthly and annual average lower calorific value are weighted averages of the daily average lower calorific value, with the weight being the daily fuel consumption. To simplify the calculation, the annual average lower calorific value can also be calculated using the weighted average of the monthly average lower calorific value, with the weight being the monthly fuel consumption. For coal consumption, the statistical amount is based on the amount of coal fed into the furnace.

[0060] The fuel emission factor is calculated based on the fuel's calorific value, carbon content, and carbon oxidation rate. The specific calculation can be done using the following formula: EF a =CC×OF×CO

[0061] In the formula, CC represents the carbon content per unit calorific value of fossil fuel, OF represents the carbon oxidation rate of fossil fuel, and CO represents the molecular mass ratio of carbon dioxide to carbon, that is, CO = 44 / 12.

[0062] The carbon emission data of lithium-ion batteries during the use phase is obtained by analyzing the use scenarios of lithium-ion batteries using the life cycle assessment method. Life cycle assessment (LCA) is an analysis of the direct and indirect environmental impacts of a product or process throughout its entire life cycle. LCA research emphasizes the environmental factors and potential environmental impacts throughout the product life cycle, from raw material acquisition, production, use, to recycling and utilization after the product life cycle. Through the analysis of lithium-ion batteries during the use phase, the carbon emission data of lithium-ion batteries during the use phase can be obtained as follows:

[0063] Where FC represents the electricity consumption per 100 kilometers, L represents the mileage of the vehicle over its entire life cycle, μ represents the charging efficiency of the lithium-ion battery, and k represents the carbon emission factor of electricity production.

[0064] The carbon emissions data for the recycling phase of lithium-ion batteries are calculated using the following steps:

[0065] According to the recycling method of lithium-ion batteries, the recycling stage of lithium-ion batteries is divided into several sub-recycling stages;

[0066] Based on the input materials of each sub-recycling stage, the sub-stage carbon emission data generated in each sub-recycling stage is calculated, and the sum of the carbon emission data of each sub-stage is used as the carbon emission data of the recycling stage.

[0067] In this embodiment, the lithium-ion battery recycling method can be divided into the following stages: battery thermal decomposition, battery leaching, battery extraction, battery precipitation, and battery calcination. Specifically, the thermal decomposition process consumes electricity and natural gas, while the crushing and sorting processes consume electricity. The leaching step in the wet processing process uses a large amount of acid, hydrogen peroxide, steam, and electricity. The subsequent impurity removal process also uses iron powder, sodium hydroxide, etc. The extraction stage requires an extractant and a stripping agent. After extraction, the resulting solution has a high concentration of nickel, cobalt, and manganese ions, and the impurity ions have been removed. Sodium hydroxide and ammonia can then be added for precipitation, precipitating the metal ions in the solution to form a precursor. The precipitated precursor is dried, washed, mixed with lithium salt, and calcined at high temperature to produce a ternary positive electrode material. The consumption of input materials in each sub-stage of the processing process generates corresponding carbon emissions. Therefore, the carbon emissions generated by the recycling process of each sub-stage can be calculated based on the materials input, thereby obtaining the carbon emissions generated by the entire recycling stage.

[0068] Assuming that the materials input in the battery thermal decomposition stage include natural gas and carbon dioxide, the materials input in the leaching stage include sulfuric acid, hydrogen peroxide and steam, the materials input in the battery extraction stage include P507 extractant, kerosene and sulfuric acid, the materials input in the battery precipitation stage include sodium hydroxide, ammonia water and steam, and the materials input in the battery calcination stage include lithium carbonate, then calculate the carbon emissions data generated in each stage according to the corresponding input materials in different stages. The carbon emission calculation formula for its sub-stages is:

[0069] Where j represents the jth sub-recycling stage, n represents the total number of input materials in the jth sub-recycling stage, i represents the i-th input material, and AD i represents the usage of the i-th input material, EF i Represents the emission factor for the input material.

[0070] In the actual calculation process, it can be calculated in tons, that is, AD i E is the amount of raw materials or energy used per ton of battery. j The carbon dioxide emissions implied by the input materials of each ton of battery positive electrode materials are obtained. After obtaining the carbon emission data generated by each sub-recycling stage, the carbon emission data generated by the lithium-ion battery in the entire recycling stage can be obtained:

[0071] Where m represents the total number of sub-recycling stages, E j Represents the carbon emission data of the jth sub-recycling stage.

[0072] The method provided in this embodiment can calculate the greenhouse gas emissions generated by the input of each energy source or raw material, and then accurately calculate the greenhouse gas emissions generated by the lithium-ion battery during the recycling and reuse stage.

[0073] The upstream enterprise fuel carbon emissions data and the lithium-ion battery use-phase carbon emissions data and recycling-phase carbon emissions data calculated above can be considered the carbon emissions data actually generated by the upstream and downstream enterprises. The following analyzes the differences between the actual data of the upstream and downstream enterprises. Specifically, the ratio between the use-phase carbon emissions data and the fuel carbon emissions data is calculated and used as the use-phase correction factor. The ratio between the recycling-phase carbon emissions data and the fuel carbon emissions data is also calculated and used as the recycling-phase correction factor. The correction factor is used to represent the difference between the actual carbon emissions data of the upstream enterprise and the actual carbon emissions data of the downstream enterprise.

[0074] From the above description, it can be seen that, at present, when upstream and downstream enterprises are conducting carbon emission planning, they often equate the carbon emissions corresponding to the supplied electricity with the carbon emissions during the use stage of lithium-ion batteries. However, the correction coefficient obtained by the above calculation can obviously show that there are differences in the actual carbon emissions of upstream and downstream enterprises. However, this difference is not taken into account when conducting carbon emission planning, resulting in insufficient accuracy of the planned carbon emission data. Therefore, the present invention corrects the planned carbon emission data of lithium-ion batteries of downstream enterprises through the calculated correction coefficient to improve the planning accuracy of the planned carbon emission data of lithium-ion batteries.

[0075] In this embodiment, since the correction coefficient is obtained by dividing the relevant carbon emission data of the lithium-ion battery by the fuel carbon emission data of the upstream enterprise, the correction coefficient is multiplied by the planned carbon emission data of the upstream enterprise to obtain the relevant planned carbon emission data of the lithium-ion battery. Specifically, the product of the upstream enterprise's planned carbon emission data and the correction coefficient of the use phase is used as the planned carbon emission data of the lithium-ion battery in the use phase; and the product of the upstream enterprise's planned carbon emission data and the correction coefficient of the recycling phase is used as the planned carbon emission data of the lithium-ion battery in the recycling phase; and then the planned carbon emission data of the use phase and the planned carbon emission data of the recycling phase are added to obtain the planned carbon emission data of the lithium-ion battery. It can be clearly seen that the planned carbon emission data of the lithium-ion battery calculated by this embodiment can coordinate the differences in carbon emissions between the upstream and downstream enterprises of the lithium-ion battery, and realize the integrated analysis of carbon emissions of the entire industry chain.

[0076] The present embodiment provides a method for analyzing carbon emissions of lithium-ion batteries. Compared with the traditional method of directly using the carbon emissions corresponding to the supplied electricity as the carbon emissions corresponding to the used electricity of the lithium-ion battery, the calculation method of the present invention is more realistic and can accurately calculate the actual carbon emissions of the lithium-ion battery. In addition, the obtained carbon emission correction coefficient is used to achieve carbon emission planning, coordinate the differences in carbon emissions between upstream and downstream companies of the lithium-ion battery industry, and further contribute to the establishment of an integrated carbon emission planning system for the entire industry chain.

[0077] Referring to FIG. 2 , based on the same inventive concept, a second embodiment of the present invention provides a carbon emission analysis system for lithium-ion batteries, comprising:

[0078] The first carbon emission calculation module 10 is used to calculate the fuel carbon emission data of the upstream enterprises, and the carbon emission data of the lithium-ion battery in the use phase and the carbon emission data in the recycling phase;

[0079] A correction coefficient calculation module 20 is used to calculate a correction coefficient based on the fuel carbon emission data, the use phase carbon emission data, and the recovery phase carbon emission data, wherein the correction coefficient includes a use phase correction coefficient and a recovery phase correction coefficient;

[0080] The second carbon emission calculation module 30 is used to calculate the planned carbon emission data of the lithium-ion battery according to the planned carbon emission data of the upstream enterprise and the correction coefficient, wherein the planned carbon emission data includes the planned carbon emission data of the use stage and the planned carbon emission data of the recycling stage.

[0081] The technical features and effects of the carbon emission analysis system for lithium-ion batteries proposed in the embodiment of the present invention are the same as those of the method proposed in the embodiment of the present invention and are not further described here. The various modules in the above-mentioned carbon emission analysis system for lithium-ion batteries can be implemented in whole or in part through software, hardware, or a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above-mentioned modules.

[0082] In addition, an embodiment of the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0083] Please refer to Figure 3, which is an internal structure diagram of a computer device in one embodiment. The computer device can specifically be a terminal or a server. The computer device includes a processor, a memory, a network interface, a display, and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a carbon emission analysis method for lithium-ion batteries is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a key, trackball, or touchpad provided on the computer device housing, or an external keyboard, touchpad, or mouse.

[0084] It will be understood by those skilled in the art that the structure shown in FIG3 is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computing device may include more or fewer components than those shown in the figure, or combine certain components, or have the same component arrangement.

[0085] In addition, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above method when the computer program is executed by a processor.

[0086] In summary, the embodiments of the present invention propose a method, system, device and medium for analyzing carbon emissions of lithium-ion batteries. The method calculates the fuel carbon emission data of upstream enterprises, and the carbon emission data of the use phase and the carbon emission data of the recovery phase of lithium-ion batteries respectively; calculates a correction coefficient based on the fuel carbon emission data, the carbon emission data of the use phase and the carbon emission data of the recovery phase, and the correction coefficient includes a correction coefficient for the use phase and a correction coefficient for the recovery phase; calculates the planned carbon emission data of lithium-ion batteries based on the planned carbon emission data of upstream enterprises and the correction coefficient, and the planned carbon emission data includes planned carbon emission data for the use phase and planned carbon emission data for the recovery phase. The present invention coordinates the differences in carbon emissions between upstream and downstream lithium-ion battery enterprises by accurately calculating the actual carbon emissions of lithium-ion batteries and correcting the planned carbon emissions through the carbon emission correction coefficient, which contributes to the establishment of an integrated carbon emission planning system for the entire industry chain.

[0087] Each embodiment in this specification is described in a progressive manner, and the same or similar parts of each embodiment can be directly referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. It should be noted that the various technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the various technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0088] The above-described embodiments merely represent several preferred implementations of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art could make several improvements and substitutions without departing from the technical principles of the present invention, and these improvements and substitutions should also be considered within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be based on the scope of protection of the claims.

Claims

1. A method for analyzing carbon emissions of a lithium-ion battery, characterized in that, The method includes: Calculating the fuel carbon emission data of the upstream enterprise, as well as the carbon emission data in the usage stage and the recycling stage of the lithium-ion battery respectively; Calculating a correction factor according to the fuel carbon emission data, the carbon emission data in the usage stage and the carbon emission data in the recycling stage, where the correction factor includes a usage stage correction factor and a recycling stage correction factor; Calculating the planned carbon emission data of the lithium-ion battery according to the planned carbon emission data of the upstream enterprise and the correction factor, where the planned carbon emission data includes the planned carbon emission data in the usage stage and the planned carbon emission data in the recycling stage.

2. The method for analyzing carbon emissions of a lithium-ion battery according to claim 1, characterized in that, The step of calculating the fuel carbon emission data of the upstream enterprise, as well as the carbon emission data in the usage stage and the recycling stage of the lithium-ion battery respectively includes: Calculating the fuel carbon emission data of the upstream enterprise according to the fuel used by the upstream enterprise; Calculating the carbon emission data in the usage stage of the lithium-ion battery according to the usage mode of the lithium-ion battery; Calculating the carbon emission data in the recycling stage of the lithium-ion battery according to the recycling mode of the lithium-ion battery.

3. The method for analyzing carbon emissions of a lithium-ion battery according to claim 2, characterized in that, The fuel carbon emission data includes carbon emission data from fossil fuel combustion and carbon emission data from the flue gas desulfurization process; The carbon emission data from fossil fuel combustion is calculated using the following formula: C1 = A × EF a where A represents the activity level, and EF a represents the fuel emission factor; The carbon emission data from the flue gas desulfurization process is calculated using the following formula: C2 = CAL × EF b where CAL represents the carbonate consumption, and EF b represents the desulfurizer emission factor; The carbon emission data in the usage stage is calculated using the following formula: In the formula, FC represents the power consumption per 100 kilometers, L represents the driving mileage of the vehicle throughout its life cycle, μ represents the charging efficiency of the lithium-ion battery, and k represents the carbon emission factor of power generation.

4. The method for analyzing carbon emissions of a lithium-ion battery according to claim 2, characterized in that, The step of calculating the carbon emission data in the recycling stage of the lithium-ion battery according to the recycling mode of the lithium-ion battery includes: Dividing the recycling stage of the lithium-ion battery into several sub-recycling stages according to the recycling mode of the lithium-ion battery; Calculating the sub-stage carbon emission data generated in each sub-recycling stage according to the input materials of each sub-recycling stage, and taking the sum of the sub-stage carbon emission data as the carbon emission data in the recycling stage; The carbon emission data in the recovery stage is calculated using the following formula: where m represents the total number of sub - recovery stages, E j represents the carbon emission data of the j - th sub - recovery stage, n represents the total number of types of input materials in the j - th sub - recovery stage, AD i represents the usage amount of the i - th input material, EF i represents the emission factor of the i - th input material.

5. The method for analyzing carbon emissions of a lithium-ion battery according to claim 1, characterized in that, The step of calculating the correction factor according to the fuel carbon emission data, the carbon emission data in the usage stage and the carbon emission data in the recycling stage includes: Taking the ratio of the carbon emission data in the usage stage to the fuel carbon emission data as the usage stage correction factor; Taking the ratio of the carbon emission data in the recycling stage to the fuel carbon emission data as the recycling stage correction factor.

6. The method for analyzing carbon emissions of a lithium-ion battery according to claim 1, characterized in that, The step of calculating the planned carbon emission data of the lithium-ion battery according to the planned carbon emission data of the upstream enterprise and the correction factor includes: Taking the product of the planned carbon emission data of the upstream enterprise and the usage stage correction factor as the planned carbon emission data in the usage stage of the lithium-ion battery; Taking the product of the planned carbon emission data of the upstream enterprise and the recycling stage correction factor as the planned carbon emission data in the recycling stage of the lithium-ion battery.

7. The method for analyzing carbon emissions of a lithium-ion battery according to claim 5, characterized in that, The recycling stage includes a battery thermal decomposition stage, a battery leaching stage, a battery extraction stage, a battery precipitation stage, and a battery calcination stage; The input materials in the battery thermal decomposition stage include natural gas and carbon dioxide, the input materials in the battery leaching stage include sulfuric acid, hydrogen peroxide and steam, the input materials in the battery extraction stage include extractant, kerosene and sulfuric acid, the input materials in the battery precipitation stage include sodium hydroxide, ammonia water and steam, and the input materials in the battery calcination stage include lithium carbonate.

8. An analysis system for carbon emissions of a lithium-ion battery, characterized in that, The system includes: A first carbon emission calculation module for respectively calculating the fuel carbon emission data of upstream enterprises, as well as the carbon emission data in the usage stage and the recycling stage of lithium-ion batteries; A correction coefficient calculation module for calculating correction coefficients according to the fuel carbon emission data, the carbon emission data in the usage stage and the carbon emission data in the recycling stage, where the correction coefficients include a usage stage correction coefficient and a recycling stage correction coefficient; A second carbon emission calculation module for calculating the planned carbon emission data of lithium-ion batteries according to the planned carbon emission data of upstream enterprises and the correction coefficients, where the planned carbon emission data includes the planned carbon emission data in the usage stage and the planned carbon emission data in the recycling stage.

9. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method according to any one of claims 1 to 7.

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