A system and method for evaluating the synergistic effect of pollution reduction and carbon reduction of a power battery recycling process
By constructing an evaluation system for the synergistic effect of pollution reduction and carbon reduction in power battery recycling processes, the problem that existing systems cannot identify synergies or conflicts in recycling processes has been solved. This enables a quantitative assessment of pollution control and carbon emissions and provides a precise basis for process optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HEFEI UNIV OF TECH
- Filing Date
- 2026-03-17
- Publication Date
- 2026-05-29
AI Technical Summary
Existing power battery recycling assessment systems fail to accurately identify the synergistic or conflicting relationships between different recycling processes and pollution control and carbon emissions. They also lack localized support, resulting in discrepancies between assessment results and actual production scenarios, and thus failing to provide a scientific basis for process optimization.
A system for evaluating the synergistic effect of pollution reduction and carbon reduction in power battery recycling processes is constructed. The system receives process combination information through a configuration module, analyzes basic emission data through a data acquisition module, calculates the pollution reduction and carbon reduction synergistic index through an evaluation module, and generates evaluation information through an output module, thereby achieving a quantitative evaluation of different process combinations.
It enables a quantitative and synergistic assessment of power battery recycling processes in terms of both pollution control and carbon emissions, accurately identifies synergistic or conflicting relationships between process combinations, and provides a scientific basis for process improvement and optimization.
Smart Images
Figure CN122114741A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of power battery recycling assessment technology, specifically relating to a system and method for assessing the synergistic effect of power battery recycling processes in terms of pollution reduction and carbon reduction. Background Technology
[0002] Life cycle assessment (LCA), as an important tool for evaluating the environmental impact of product systems, has been widely used in the field of power batteries. Existing power battery environmental assessment systems typically use primary energy consumption and global warming potential as core indicators to calculate the energy consumption and carbon emissions of lithium iron phosphate (LFP) batteries and ternary lithium (NCM) batteries at each stage of production, use, and recycling, providing data references for the selection of battery recycling processes.
[0003] However, existing assessment systems mostly calculate energy consumption or carbon emission indicators separately, lacking a synergistic quantitative assessment of the dual goals of pollution reduction and carbon reduction. This makes it impossible to determine the conflicting or synergistic relationships between different recycling processes in achieving pollution control and carbon emission reduction. Furthermore, existing systems do not construct differentiated evaluation models for recycling processes based on the material characteristics of different battery types, and the background data lacks localized support, leading to discrepancies between the assessment results and actual domestic production scenarios. This makes it difficult to provide accurate scientific basis for the optimal selection of power battery recycling processes. Summary of the Invention
[0004] The purpose of this invention is to provide a system and method for evaluating the synergistic effect of pollution reduction and carbon emission reduction in power battery recycling processes, so as to solve the technical problem that existing power battery recycling evaluation systems cannot accurately identify the synergistic or conflicting relationships between different recycling processes in terms of pollution control and carbon emissions, resulting in a lack of basis for the selection of recycling processes.
[0005] The present invention achieves the above objectives through the following technical solutions: Firstly, this invention proposes an evaluation system for the synergistic effect of pollution reduction and carbon reduction in power battery recycling processes, the system comprising: The configuration module is used to receive the process combination information to be compared input by the user. The process combination information to be compared includes a first battery type and a first recycling process, a second battery type and a second recycling process, and constructs a life cycle model including production, use and recycling stages with a preset capacity as the functional unit, and generates benchmark data including stage boundary constraints and regional power structure parameters. The data acquisition module is used to parse the process combination information to be compared from the benchmark data, match the corresponding basic emission data according to the parsing results, and read the material consumption and environmental emission data of the production, use and recycling stages to generate the dataset to be evaluated. The assessment module is used to determine the primary energy consumption value and global warming potential value of the first process combination and the second process combination based on the dataset to be assessed, and to mark the impact nodes that exceed the preset threshold and generate environmental impact data. The calculation module is used to determine the pollution reduction and carbon reduction synergy index of the first process combination and the second process combination based on the environmental impact data. The output module is used to generate and output evaluation information containing the comparison results of the first process combination and the second process combination based on the pollution reduction and carbon reduction synergy index.
[0006] Furthermore, the configuration module includes: The boundary definition unit is used to receive the process combination information to be compared input by the user, define the system boundaries of the production stage, the use stage and the recycling stage with 1kWh as the functional unit, configure the regional power structure parameters of the system boundaries, and generate boundary constraint data containing stage boundary identifiers and power structure parameters. The process matching unit is used to retrieve the corresponding process parameter set from the pre-configured process library according to the process combination information to be compared. The process parameter set includes the material consumption coefficient, energy consumption coefficient and environmental emission coefficient of each process. The pre-configured process library stores the physical recycling process and wet recycling process of lithium iron phosphate battery, and the wet recycling process and pyrometallurgical recycling process of ternary lithium battery. The benchmark data generation unit is used to associate and encapsulate the boundary constraint data with the recycling process to generate benchmark data that includes stage boundary constraint conditions, regional power structure parameters, and battery-process mapping relationships.
[0007] Furthermore, the acquisition module includes: The retrieval unit is used to retrieve basic emission data, including regional power structure coefficients and raw material production emission factors, from a preset database based on the process combination information to be compared obtained through analysis. The reading unit is used to read the material consumption list of the production stage, the charge and discharge loss data of the usage stage, and the chemical reagent dosage and metal recovery rate data of the recycling stage from the local storage medium through the data reading interface, based on the process combination information to be compared obtained by parsing. The fusion unit is used to perform key-value matching and association fusion of basic emission data, material consumption data, and environmental emission data according to preset battery type-process path association fields, to generate a dataset to be evaluated that includes material input, energy consumption, and environmental emissions.
[0008] Furthermore, the evaluation module includes: The indicator calculation unit is used to calculate the primary energy consumption value and global warming potential value of the first process combination and the second process combination in the production stage, use stage, recycling stage and the whole life cycle based on the dataset to be evaluated, wherein the indicator value in the recycling stage is configured as a negative value to represent the offsetting effect. The node identification unit is used to extract the contribution rate of indicators at each stage, mark the stage and its sub-stages with contribution rates exceeding a preset threshold as influencing nodes, and generate environmental impact data containing indicator values and node identifiers.
[0009] Furthermore, determining the pollution reduction and carbon reduction synergy index of the first process combination and the second process combination based on the environmental impact data includes: Based on the aforementioned environmental impact data, the normalized difference A1 of the global warming potential between the first process combination and the second process combination is calculated using the following formula: ; in, and These represent the global warming potential values of the first and second process combinations to be compared, respectively. Based on the aforementioned environmental impact data, the normalized difference of the comprehensive pollution index A2 is calculated using the following formula: ; in, and 2 represents the combined pollution index of the first process combination and the second process combination, respectively. The combined pollution index includes at least SO2, PM2.5, and PO4. 3- Weighted values of the three pollutants; The normalized difference of the global warming potential A1 and the normalized difference of the comprehensive pollution index are used as the basis for comparison. The ratio A1 / As a synergistic index for pollution reduction and carbon reduction, the calculation results are generated, which include the synergistic index values of each recycling process path.
[0010] Furthermore, the computing module also includes: The effect determination unit is used to determine the synergistic relationship between the first process combination and the second process combination based on the numerical characteristics of the pollution reduction and carbon reduction synergy index. If the pollution reduction and carbon reduction synergy index is greater than zero, it is determined to be positive synergy, which indicates that the two sets of process combinations have the same trend of change in pollution reduction and carbon reduction indicators. If the pollution reduction and carbon reduction synergy index is less than zero, it is determined to be negative synergy, which indicates that the two process combinations have an inverse trend in pollution reduction and carbon reduction indicators. The degree of deviation of the reverse trend is determined based on the absolute value of the pollution reduction and carbon reduction synergy index.
[0011] Furthermore, the output module includes: The visualization rendering unit is used to load the primary energy consumption value, global warming potential value and pollution reduction and carbon reduction synergy index into a preset visualization template to generate multi-dimensional interface data including bar charts, pie charts or line charts. The process comparison unit is used to make stratified decisions for each recycling process path based on the results of the collaboration relationship determination. For process combinations that are determined to be positively synergistic, the process with the best global warming potential and comprehensive pollution index is selected as the target process. For process combinations determined to have negative synergy, the decision weight is determined based on the absolute value of the pollution reduction and carbon reduction synergy index: if the absolute value is greater than 1, the process with the lower global warming potential value is selected as the target process; if the absolute value is less than 1, the process with the lower comprehensive pollution index is selected as the target process. The output driving unit is used to send the multi-dimensional interface data and the recommendation information containing the target process identifier to the display device through the display driving interface, and generate and output the evaluation results.
[0012] Secondly, this invention proposes a method for evaluating the synergistic effect of pollution reduction and carbon reduction in power battery recycling processes, employing the evaluation system described above, and including the following steps: The system receives user input of process combination information to be compared, which includes a first battery type and a first recycling process, a second battery type and a second recycling process, and constructs a life cycle model including production stage, usage stage and recycling stage with preset capacity as the functional unit, and generates benchmark data including stage boundary constraints and regional power structure parameters. The process combination information to be compared is parsed from the benchmark data, the corresponding basic emission data is retrieved according to the parsing results, and the material consumption and environmental emission data of the production, use and recycling stages are read and merged to generate the dataset to be evaluated. Calculate the primary energy consumption and global warming potential of the first and second process combinations based on the dataset to be evaluated, mark the impact nodes that exceed the preset threshold, and generate environmental impact data. The pollution reduction and carbon reduction synergy index of the first process combination and the second process combination is determined based on the environmental impact data. The evaluation information, which includes a comparison between the first process combination and the second process combination, is generated and output based on the pollution reduction and carbon reduction synergy index. The beneficial effects of this invention are as follows: This invention constructs a pollution reduction and carbon reduction synergy index, enabling a quantitative synergistic assessment of power battery recycling processes across two dimensions: pollution control and carbon emissions. The system can accurately identify the synergistic or conflicting relationships between different process combinations in achieving pollution reduction and carbon reduction goals. Specifically, a positive index allows for the direct selection of the optimal process, while a negative index allows for a scientific weighting of decision-making based on the absolute value. Simultaneously, the system automatically identifies high-impact stages throughout the entire lifecycle, providing precise directions for process improvement. Finally, it generates an assessment report containing quantitative indicators, synergistic relationships, and optimization suggestions, providing decision-making support for recycling companies in process selection and battery manufacturers in supplier evaluation. Attached Figure Description
[0013] Figure 1 This is a schematic diagram of the structure of the pollution reduction and carbon reduction synergistic effect evaluation system of the power battery recycling process according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the system boundaries of the lithium iron phosphate battery and the ternary lithium battery in the embodiments of the present invention; Figure 3 This is a flowchart of the method for evaluating the synergistic effect of pollution reduction and carbon reduction in the power battery recycling process according to an embodiment of the present invention; Figure 4 This is a comparison chart of the primary energy consumption (PED) results of lithium iron phosphate batteries and ternary lithium batteries in this embodiment of the invention. Figure 5 This is a comparison chart of the global warming potential (GWP) results of lithium iron phosphate batteries and ternary lithium batteries in the embodiments of the present invention. Figure 6 This is a schematic diagram of the GWP (Gas Power Plant) structure during the production stage of a lithium iron phosphate battery in an embodiment of the present invention. Figure 7 This is a schematic diagram of the GWP (Gas-Powered Battery) configuration during the ternary lithium battery production stage in an embodiment of the present invention. Detailed Implementation
[0014] The present application will now be described in further detail with reference to the accompanying drawings. It should be noted that the following specific embodiments are only used to further illustrate the present application and should not be construed as limiting the scope of protection of the present application. Those skilled in the art can make some non-essential improvements and adjustments to the present application based on the above application content.
[0015] Example 1 See Figure 1 A specific embodiment of the present invention proposes an evaluation system for the synergistic effect of pollution reduction and carbon reduction in power battery recycling process. The system includes a configuration module, a data acquisition module, an evaluation module, a calculation module, and an output module.
[0016] The configuration module is used for user-inputted comparison process combination information, including a first battery type and a first recycling process, a second battery type and a second recycling process. It constructs a lifecycle model encompassing production, use, and recycling stages, using a preset capacity as the functional unit, and generates benchmark data including stage boundary constraints and regional power structure parameters. The preset capacity is a 1kWh nominal capacity, and the battery type includes information on lithium iron phosphate batteries or ternary lithium batteries. The regional power structure parameters are China's average power structure data, including the proportions of energy sources such as coal, hydropower, and wind power.
[0017] The data acquisition module is used to parse the process combination information to be compared from the benchmark data, match the corresponding basic emission data according to the parsing results, and read the material consumption and environmental emission data of the production, use, and recycling stages to generate the dataset to be evaluated. The basic emission data includes regional electricity emission factors and raw material production process emission coefficients from the China Life Cycle Database. Material consumption data includes the consumption of positive and negative electrode materials, electrolytes, and separators during the production stage, the electricity consumption during the use stage, and the chemical reagent consumption during the recycling stage. Environmental emission data includes the types and amounts of pollutants such as carbon dioxide, sulfur dioxide, and nitrogen oxides emitted at each stage.
[0018] The assessment module determines the Primary Energy Consumption (PED) and Global Warming Potential (GWP) of the first and second process combinations based on the dataset to be assessed, and marks impact nodes exceeding preset thresholds, generating environmental impact data. The PED is obtained by multiplying the energy types (electricity, natural gas, etc.) consumed at each stage by their corresponding energy conversion factors and summing them. The GWP is obtained by multiplying the greenhouse gas emissions at each stage by their corresponding global warming potential factors and summing them. Impact nodes include the cathode material preparation stage in the production stage, the electricity consumption stage in the usage stage, and the chemical reagent usage stage in the recycling stage.
[0019] The calculation module is used to determine the pollution reduction and carbon reduction synergy index SI for the first and second process combinations based on the environmental impact data. The pollution reduction and carbon reduction synergy index SI is used to quantify the comprehensive performance of different recycling processes in two dimensions: pollutant reduction and carbon emission reduction. This index is determined based on the normalized difference ratio between the global warming potential and the comprehensive pollution index value.
[0020] The output module is used to generate and output evaluation information containing the comparison results of the first process combination and the second process combination based on the pollution reduction and carbon reduction synergy index. The evaluation results are presented in the form of a visual interface, including the primary energy consumption value, global warming potential value and pollution reduction and carbon reduction synergy index value of each recycling process, and the recommended target process path is marked.
[0021] As a preferred option, the configuration module includes: The boundary definition unit is used to receive the process combination information to be compared input by the user, define the system boundaries of the production stage, the use stage and the recycling stage with 1kWh as the functional unit, configure the regional power structure parameters of the system boundaries, and generate boundary constraint data containing stage boundary identifiers and power structure parameters; the system boundaries do not include the battery transportation process, but are limited to the three stages of battery material production, electric vehicle use and retirement recycling.
[0022] The process matching unit is used to retrieve the corresponding process parameter set from the pre-configured process library according to the process combination information to be compared. The process parameter set includes the material consumption coefficient, energy consumption coefficient and environmental emission coefficient of each process. The pre-configured process library stores the physical recycling process and wet recycling process of lithium iron phosphate battery, and the wet recycling process and pyrometallurgical recycling process of ternary lithium battery.
[0023] Specifically, physical recycling processes include discharge, dismantling, positive and negative electrode separation, crushing, sorting, composition adjustment, and high-temperature synthesis; wet recycling processes include discharge, dismantling, crushing, sorting, oxidative leaching, solvent extraction, and precipitation; and pyrometallurgical recycling processes include discharge, dismantling, crushing, mixing materials, reduction roasting, slag grinding, water leaching, and evaporation crystallization.
[0024] The benchmark data generation unit is used to associate and encapsulate the boundary constraint data with the recycling process to generate benchmark data that includes stage boundary constraint conditions, regional power structure parameters, and battery-process mapping relationships.
[0025] As a preferred embodiment, the acquisition module includes a retrieval unit, a reading unit, and a fusion unit.
[0026] The retrieval unit is used to retrieve basic emission data, including regional power structure coefficients and raw material production emission factors, from a preset database based on the process combination information to be compared obtained through analysis. The database is set as the China Life Cycle Database, the regional power structure coefficients are determined based on the power generation energy structure of the average power grid in China, and the raw material production emission factors include the carbon emission coefficients and pollutant emission coefficients per unit output of key materials such as cathode materials, anode materials, and electrolytes.
[0027] The reading unit is used to read the material consumption list of the production stage, the charge and discharge loss data of the usage stage, and the chemical reagent dosage and metal recovery rate data of the recycling stage from the local storage medium through the data reading interface, based on the process combination information to be compared obtained by parsing. The material consumption list includes the amount of iron phosphate and lithium carbonate used as cathode materials for lithium iron phosphate batteries, the amount of nickel cobalt manganese precursor and lithium carbonate used as cathode materials for ternary lithium batteries, and the amount of materials common to both types of batteries, such as graphite anode, copper foil, aluminum foil, separator, and electrolyte.
[0028] As an example, charge / discharge loss data during the usage phase. Including battery charging and discharging energy conversion losses And the additional energy loss of electric vehicles carrying battery weight Simultaneously, by combining parameters such as the total driving distance of the electric vehicle, battery charging and discharging efficiency, the ratio of vehicle energy consumption to vehicle weight, and the mass of the battery and the electric vehicle, the actual energy consumption during the usage phase is calculated; the calculation formula is: ; ; ; in, This indicates the amount of electricity consumed by an electric vehicle per kilometer. This indicates the total distance traveled by the electric vehicle during its usage phase; This indicates the battery's charge and discharge efficiency; This represents the ratio of vehicle energy consumption to vehicle weight. The value is set to 0.49; and These refer to the mass of the battery and the electric vehicle, respectively.
[0029] The fusion unit is used to perform key-value matching and association fusion of basic emission data, material consumption data, and environmental emission data according to the preset battery type-process path association fields, to generate a dataset to be evaluated that includes material input, energy consumption, and environmental emissions.
[0030] As an example, Table 1 shows the material consumption list of lithium iron phosphate batteries and ternary lithium batteries during the production stage, obtained through the acquisition module, and Table 2 shows the relevant parameters during the usage stage.
[0031] Table 1: Material List of LFP and NCM Batteries in the Production Stage Table 2: Relevant parameters of batteries and electric vehicles during the usage phase The data in the above list covers the main material inputs and key operating parameters of battery production and usage stages, providing a data foundation for subsequent environmental impact assessments.
[0032] For the four different recycling processes, the material consumption and environmental emission data acquired by the acquisition module are shown in Tables 3 to 6.
[0033] Table 3: List of materials for physical recycling of LFP batteries Table 4: List of materials recovered by hydrometallurgical process from LFP batteries Table 5: List of materials recovered by pyrometallurgical methods from NCM batteries Table 6: List of materials recovered by hydrometallurgical process from NCM batteries As can be seen from Tables 3-6, there are significant differences in the amount of chemical reagents used, the type of energy consumed, and the types of metals recovered among different recycling processes. These differences will directly affect the environmental impact assessment results of each process.
[0034] As a preferred option, the evaluation module includes: The indicator calculation unit is used to calculate the primary energy consumption and global warming potential of the first and second process combinations in the production, use, recycling, and entire life cycle based on the dataset to be evaluated. The indicator values for the recycling stage are configured as negative to represent the offsetting effect; the offsetting effect refers to the reduction in energy consumption and carbon emissions resulting from the recycling process replacing virgin materials with recycled materials. For example, wet recycling of lithium iron phosphate batteries can recover lithium carbonate and iron phosphate, replacing the production of the corresponding virgin materials, thus generating a negative contribution to energy consumption and carbon emissions throughout the entire life cycle.
[0035] The node identification unit extracts the contribution rate of indicators at each stage, marks stages and sub-stages with contribution rates exceeding a preset threshold as impact nodes, and generates environmental impact data containing indicator values and node identifiers. The contribution rate is the percentage of each stage's indicator value to the total life-cycle indicator value. For example, if the global warming potential value of the production stage accounts for more than 70% of the total life-cycle value, then the production stage is marked as a high-impact stage. Further analysis within the production stage reveals that if the cathode material preparation stage accounts for more than 60% of the global warming potential value of the production stage, then this sub-stage is marked as a core impact node.
[0036] As a preferred embodiment, the pollution reduction and carbon reduction synergy index of the first process combination and the second process combination is determined based on the environmental impact data, including: Based on environmental impact data, the normalized difference A1 of the global warming potential between the first and second process combinations is calculated using the following formula: ; in, and These represent the global warming potential values of the first and second process combinations to be compared, respectively. Based on environmental impact data, the normalized difference of the comprehensive pollution index A2 is calculated using the following formula: ; in, and 2 represents the combined pollution index of the first and second process combinations, respectively. The combined pollution index includes at least SO2, PM2.5, and PO4. 3- The weighted values of the three pollutants are calculated by weighting coefficients based on the degree of environmental harm of each pollutant and then summing the weighted values to obtain the comprehensive pollution index.
[0037] The normalized difference of global warming potential A1 and the normalized difference of comprehensive pollution index were used as the basis for the calculation. The ratio A1 / As a synergy index for pollution reduction and carbon reduction, the calculation results include the synergy index values of each recycling process pathway. The synergy index for pollution reduction and carbon reduction is used to characterize the relative performance of two groups of processes in two dimensions: carbon emissions and pollution control. If the ratio is positive, it means that the two groups of processes are in the same direction of advantage and disadvantage in the same dimension; if the ratio is negative, it means that the two groups of processes are in opposite directions of advantage and disadvantage in the two dimensions.
[0038] As a preferred embodiment, the calculation module also includes: The effect determination unit is used to determine the synergistic relationship between the first process combination and the second process combination based on the numerical characteristics of the pollution reduction and carbon reduction synergy index.
[0039] If the pollution reduction and carbon reduction synergy index is greater than zero, it is determined to be positive synergy, which indicates that the two process combinations have the same trend of change in pollution reduction and carbon reduction indicators; that is, one process is better than the other process in both indicators.
[0040] If the pollution reduction and carbon reduction synergy index is less than zero, it is judged as negative synergy, which indicates that the two process combinations have an inverse trend in pollution reduction and carbon reduction indicators; the larger the absolute value, the more significant the inverse correlation, that is, one process is superior in one indicator but inferior in another.
[0041] The degree of deviation from the reverse trend is determined based on the absolute value of the pollution reduction and carbon reduction synergy index (SI). A larger absolute value indicates a more significant reverse correlation, meaning that the differences in the advantages and disadvantages of the two processes in the two indicators are more prominent.
[0042] As an example, based on the numerical characteristics of the pollution reduction and carbon reduction synergy index SI, the pre-set synergy relationship determination rules are shown in Table 7.
[0043] Table 7 shows the range of SI values. Using the judgment rules in Table 7, the system can map the calculated pollution reduction and carbon reduction synergy index into specific correlation types and degree levels, providing a basis for judgment in subsequent process comparisons.
[0044] Taking a certain batch of power batteries as an example, the pollution reduction and carbon reduction synergy index of the three recycling process combinations calculated by this system is shown in Table 8.
[0045] Table 8. Calculation process of SI values for the third time Table 8 shows the values of the three recycling process combinations for various environmental impact indicators calculated by this system. Here, GWP represents the Global Warming Potential, AP represents the Acidification Potential, EP represents the Eutrophication Potential, and RI represents the Particulate Matter Emission Potential. The Comprehensive Pollution Index is obtained by weighted summation of AP, EP, and RI, and is used to characterize the overall performance of the process pathways in terms of pollutant emissions. As shown in Table 8, the pollution reduction and carbon reduction synergy indices for NCM wet and pyrometallurgical processes, and LFP wet and physical processes, are both negative, indicating an inverse correlation between these two processes in terms of carbon emissions and pollution control. Conversely, the indices for NCM and LFP wet processes are positive, indicating a positive correlation between them in terms of both indicators. These calculation results provide a quantitative basis for subsequent process optimization.
[0046] As a preferred option, the output module includes a visualization rendering unit, a process comparison unit, and an output driving unit.
[0047] The visualization rendering unit is used to load primary energy consumption values, global warming potential values, and pollution reduction and carbon reduction synergy index into a preset visualization template to generate multi-dimensional interface data including bar charts, pie charts, or line charts. The bar chart is used to compare the indicator values of different recycling processes, the pie chart is used to show the contribution ratio of indicators at each stage, and the line chart is used to present the trend of indicator changes throughout the entire life cycle.
[0048] The process comparison unit is used to make stratified decisions for each recycling process path based on the results of the collaboration relationship determination: For process combinations that are determined to be positively synergistic, the process with both the global warming potential and the comprehensive pollution index is selected as the target process; that is, the process path with both indicators being lower is selected.
[0049] For process combinations determined to have negative synergy, the decision weight is determined based on the absolute value of the pollution reduction and carbon reduction synergy index: if the absolute value is greater than 1, the process with the lower global warming potential value is selected as the target process; if the absolute value is less than 1, the process with the lower comprehensive pollution index is selected as the target process; an absolute value greater than 1 indicates that carbon emission differences are dominant, and an absolute value less than 1 indicates that pollution emission differences are dominant.
[0050] The output driver unit sends multi-dimensional interface data and recommended information containing target process identifiers to the display device via the display driver interface, generating and outputting evaluation results. The evaluation results are presented in graphical form, including comparative data on environmental indicators for each process path and the final recommended process path.
[0051] Understandably, this system supports two typical evaluation scenarios. Scenario 1 compares different recycling processes for the same battery type. Users input the battery type to be evaluated and select two recycling processes for comparison. The system calculates the pollution reduction and carbon reduction synergy index and determines the synergy relationship based on the positive or negative sign and absolute value of the index, ultimately outputting a recommended process path. Scenario 2 compares the same recycling process for different battery types. Users input two battery types to be compared and select the same recycling process. The system calculates the pollution reduction and carbon reduction synergy index for the two process combinations and outputs a comprehensive comparison conclusion of the advantages and disadvantages of the two indicators based on the judgment results. Through these two scenarios, this system can provide quantitative decision-making basis for recycling companies in process selection and battery manufacturers in evaluating recycling partners in practical applications.
[0052] As an application example, users can select the process combination to be compared according to their actual needs, and the results are as follows: Figures 4-5 And as shown in Tables 1-8: Combination 1: Recycling companies choose between wet recycling and pyrometallurgical recycling of ternary lithium batteries. By inputting "wet recycling of ternary lithium batteries" and "pyrometallurgical recycling of ternary lithium batteries" into the system as the comparison combination, the system outputs a pollution reduction and carbon reduction synergy index of -0.525, which is judged as negative synergy. Based on the characteristic that the absolute value is less than 1, the system recommends prioritizing the wet recycling process with a lower comprehensive pollution index.
[0053] Combination 2: Comparing wet recycling and physical recycling processes for lithium iron phosphate battery recycling companies. Inputting "wet recycling of lithium iron phosphate batteries" and "physical recycling of lithium iron phosphate batteries" yields a system output index of -0.474, again recommending the wet recycling process.
[0054] Combination 3: Battery manufacturers compare wet recycling processes for two different battery types. By inputting "wet recycling of ternary lithium batteries" and "wet recycling of lithium iron phosphate batteries", the system outputs an index of +0.100, which is determined to be positive synergy. The process with the best performance in both indicators can be directly selected.
[0055] Based on the above assessment results, please refer to Figure 6 and Figure 7 Possible optimization directions include: To address high-impact aspects of the production process, optimize the preparation process of ternary lithium battery cathode materials and reduce energy consumption in the mining and smelting of cobalt sulfate and nickel sulfate; reduce the amount of aluminum used in lithium iron phosphate batteries or increase the proportion of recycled aluminum. To address the negative synergistic effects of the recycling stage, we will explore improved wet recycling processes, reduce the use of chemical reagents, and develop green recycling technologies such as biometallurgy to resolve the conflict between pollution reduction and carbon reduction goals. To address the issue of high energy consumption in lithium iron phosphate batteries during use, the energy density and charge / discharge efficiency of lithium iron phosphate batteries are improved.
[0056] Example 2 See Figure 3 Another specific embodiment of the present invention proposes a method for evaluating the synergistic effect of pollution reduction and carbon reduction in power battery recycling processes, using the evaluation system as shown in Example 1, and including the following steps: S100. Receive the process combination information to be compared input by the user. The process combination information to be compared includes a first battery type and a first recycling process, a second battery type and a second recycling process, and construct a life cycle model including a production stage, a usage stage and a recycling stage with a preset capacity as the functional unit, and generate benchmark data including stage boundary constraints and regional power structure parameters.
[0057] S200. Parse the process combination information to be compared from the benchmark data, retrieve the corresponding basic emission data according to the parsing results, and read the material consumption and environmental emission data of the production, use and recycling stages, and merge them to generate the dataset to be evaluated; the basic emission data is obtained from the remote server through the communication interface, and the material consumption and environmental emission data are read from the local storage medium through the data reading interface.
[0058] S300. Calculate the primary energy consumption value and global warming potential value of the first process combination and the second process combination based on the dataset to be evaluated, mark the impact nodes that exceed the preset threshold, and generate environmental impact data; the impact node marking is used for the generation of subsequent optimization suggestions, and identifies the life cycle stage or production sub-link that needs to be improved.
[0059] S400. Determine the pollution reduction and carbon reduction synergy index of the first process combination and the second process combination based on the environmental impact data; the pollution reduction and carbon reduction synergy index is calculated using the normalized difference ratio method, which quantifies the relative performance of different process paths on the two indicators by comparing the global warming potential and the comprehensive pollution index.
[0060] S500. Generate and output evaluation information including the comparison results of the first process combination and the second process combination based on the pollution reduction and carbon reduction synergy index. The comparison process combines the positive and negative signs of the index and the magnitude of the absolute value to make hierarchical decisions: for process combinations with positive indices, directly select the process with better performance in both indicators; for process combinations with negative indices, determine the decision weight of carbon emission-dominant or pollution emission-dominant based on the magnitude of the absolute value, and finally output the recommended process path.
[0061] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0062] In addition, the functional modules in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.
[0063] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.
Claims
1. A system for evaluating the synergistic effect of pollution reduction and carbon reduction in a power battery recycling process, characterized in that, The system includes: The configuration module is used to receive the process combination information to be compared input by the user. The process combination information to be compared includes a first battery type and a first recycling process, a second battery type and a second recycling process, and constructs a life cycle model including production, use and recycling stages with a preset capacity as the functional unit, and generates benchmark data including stage boundary constraints and regional power structure parameters. The data acquisition module is used to parse the process combination information to be compared from the benchmark data, match the corresponding basic emission data according to the parsing results, and read the material consumption and environmental emission data of the production, use and recycling stages to generate the dataset to be evaluated. The assessment module is used to determine the primary energy consumption value and global warming potential value of the first process combination and the second process combination based on the dataset to be assessed, and to mark the impact nodes that exceed the preset threshold and generate environmental impact data. The calculation module is used to determine the pollution reduction and carbon reduction synergy index of the first process combination and the second process combination based on the environmental impact data. The output module is used to generate and output evaluation information containing the comparison results of the first process combination and the second process combination based on the pollution reduction and carbon reduction synergy index.
2. The system for evaluating the synergistic effect of pollution reduction and carbon reduction in a power battery recycling process according to claim 1, characterized in that, The configuration module includes: The boundary definition unit is used to receive the process combination information to be compared input by the user, define the system boundaries of the production stage, the use stage and the recycling stage with 1kWh as the functional unit, configure the regional power structure parameters of the system boundaries, and generate boundary constraint data containing stage boundary identifiers and power structure parameters. The process matching unit is used to retrieve the corresponding process parameter set from the pre-configured process library according to the process combination information to be compared. The process parameter set includes the material consumption coefficient, energy consumption coefficient and environmental emission coefficient of each process. The pre-configured process library stores the physical recycling process and wet recycling process of lithium iron phosphate battery, and the wet recycling process and pyrometallurgical recycling process of ternary lithium battery. The benchmark data generation unit is used to associate and encapsulate the boundary constraint data with the recycling process to generate benchmark data that includes stage boundary constraint conditions, regional power structure parameters, and battery-process mapping relationships.
3. The pollution reduction and carbon reduction synergistic effect evaluation system for a power battery recycling process according to claim 1, characterized in that, The acquisition module includes: The retrieval unit is used to retrieve basic emission data, including regional power structure coefficients and raw material production emission factors, from a preset database based on the process combination information to be compared obtained through analysis. The reading unit is used to read the material consumption list of the production stage, the charge and discharge loss data of the usage stage, and the chemical reagent dosage and metal recovery rate data of the recycling stage from the local storage medium through the data reading interface, based on the process combination information to be compared obtained by parsing. The fusion unit is used to perform key-value matching and association fusion of basic emission data, material consumption data, and environmental emission data according to preset battery type-process path association fields, to generate a dataset to be evaluated that includes material input, energy consumption, and environmental emissions.
4. The pollution reduction and carbon reduction synergistic effect evaluation system for a power battery recycling process according to claim 1, characterized in that, The evaluation module includes: The indicator calculation unit is used to calculate the primary energy consumption value and global warming potential value of the first process combination and the second process combination in the production stage, use stage, recycling stage and the whole life cycle based on the dataset to be evaluated, wherein the indicator value in the recycling stage is configured as a negative value to represent the offsetting effect. The node identification unit is used to extract the contribution rate of indicators at each stage, mark the stage and its sub-stages with contribution rates exceeding a preset threshold as influencing nodes, and generate environmental impact data containing indicator values and node identifiers.
5. The pollution reduction and carbon reduction synergistic effect evaluation system for a power battery recycling process according to claim 1, characterized in that, The determination of the pollution reduction and carbon reduction synergy index between the first process combination and the second process combination based on the environmental impact data includes: Based on the aforementioned environmental impact data, the normalized difference A1 of the global warming potential between the first process combination and the second process combination is calculated using the following formula: ； in, and These represent the global warming potential values of the first and second process combinations to be compared, respectively. Based on the aforementioned environmental impact data, the normalized difference of the comprehensive pollution index A2 is calculated using the following formula: ； in, and 2 represents the combined pollution index of the first process combination and the second process combination, respectively. The combined pollution index includes at least SO2, PM2.5, and PO4. 3- Weighted values of the three pollutants; The normalized difference of the global warming potential A1 and the normalized difference of the comprehensive pollution index are used as the basis for comparison. The ratio A1 / As a synergistic index for pollution reduction and carbon reduction, the calculation results are generated, which include the synergistic index values of each recycling process path.
6. The pollution reduction and carbon reduction synergistic effect evaluation system for a power battery recycling process according to claim 5, characterized in that, The computing module also includes: The effect determination unit is used to determine the synergistic relationship between the first process combination and the second process combination based on the numerical characteristics of the pollution reduction and carbon reduction synergy index. If the pollution reduction and carbon reduction synergy index is greater than zero, it is determined to be positive synergy, which indicates that the two sets of process combinations have the same trend of change in pollution reduction and carbon reduction indicators. If the pollution reduction and carbon reduction synergy index is less than zero, it is determined to be negative synergy, which indicates that the two process combinations have an inverse trend in pollution reduction and carbon reduction indicators. The degree of deviation of the reverse trend is determined based on the absolute value of the pollution reduction and carbon reduction synergy index.
7. The pollution reduction and carbon reduction synergistic effect evaluation system for a power battery recycling process according to claim 6, characterized in that, The output module includes: The visualization rendering unit is used to load the primary energy consumption value, global warming potential value and pollution reduction and carbon reduction synergy index into a preset visualization template to generate multi-dimensional interface data including bar charts, pie charts or line charts. The process comparison unit is used to make stratified decisions for each recycling process path based on the results of the collaboration relationship determination. For process combinations that are determined to be positively synergistic, the process with the best global warming potential and comprehensive pollution index is selected as the target process. For process combinations determined to have negative synergy, the decision weight is determined based on the absolute value of the pollution reduction and carbon reduction synergy index: if the absolute value is greater than 1, the process with the lower global warming potential value is selected as the target process; if the absolute value is less than 1, the process with the lower comprehensive pollution index is selected as the target process. The output driving unit is used to send the multi-dimensional interface data and the recommendation information containing the target process identifier to the display device through the display driving interface, and generate and output the evaluation results.
8. A method for evaluating the synergistic effect of pollution reduction and carbon reduction in a power battery recycling process, characterized in that, The evaluation system according to any one of claims 1-7 includes the following steps: The system receives user input of process combination information to be compared, which includes a first battery type and a first recycling process, a second battery type and a second recycling process, and constructs a life cycle model including production stage, usage stage and recycling stage with preset capacity as the functional unit, and generates benchmark data including stage boundary constraints and regional power structure parameters. The process combination information to be compared is parsed from the benchmark data, the corresponding basic emission data is retrieved according to the parsing results, and the material consumption and environmental emission data of the production, use and recycling stages are read and merged to generate the dataset to be evaluated. Calculate the primary energy consumption and global warming potential of the first and second process combinations based on the dataset to be evaluated, mark the impact nodes that exceed the preset threshold, and generate environmental impact data. The pollution reduction and carbon reduction synergy index of the first process combination and the second process combination is determined based on the environmental impact data. The evaluation information, which includes a comparison of the first process combination and the second process combination, is generated and output based on the pollution reduction and carbon reduction synergy index.