Preparation method of oxygen reduction electrocatalyst based on retired batteries
By screening, dismantling, pyrolysis, acid leaching, mechanical activation, and grinding of graphite waste from retired lithium battery anodes, a high-value oxygen reduction electrocatalyst is prepared, solving the problems of resource waste and environmental pollution during the recycling of retired batteries and achieving efficient secondary utilization.
Patent Information
- Application Number
- CN202410484428.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-22
- Publication Date
- 2025-01-24
- Estimated Expiration
- 2044-04-22
AI Technical Summary
In existing technologies, the processing of graphite waste from retired lithium battery anodes is too complex, leading to resource waste and environmental pollution, and making it difficult to prepare high-value oxygen reduction electrocatalysts.
By screening retired battery sets, target retired batteries are obtained and subjected to dismantling, pyrolysis, acid leaching, mechanical activation and grinding to prepare high-value oxygen reduction electrocatalysts. The specific steps include: dismantling negative electrode waste, pyrolyzing organic matter, treating inorganic waste with acid hydrolysis solution, filtering graphite waste, mechanical activation and grinding, and finally heat treatment in a tube furnace.
This effectively solves the problems of resource waste and environmental pollution during the recycling of retired batteries, produces a high-performance oxygen reduction electrocatalyst, reduces production energy consumption, and improves the secondary utilization rate of retired batteries.
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Figure CN118366559B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to a method for preparing an oxygen reduction electrocatalyst based on retired batteries, belonging to the technical field of electrochemistry. Background Art
[0002] With the rise of new energy technologies, more and more lithium batteries are being put into the new energy market. However, as their service life increases, lithium batteries will have to face the problem of retirement. Correspondingly, how to achieve the secondary utilization of lithium battery negative electrode graphite waste is particularly important.
[0003] At present, the treatment methods for lithium battery negative electrode graphite waste include: using a deep cleaning process to remove the metal components in the negative electrode graphite waste, recovering the metal components while obtaining pure regenerated graphite, and putting the regenerated graphite into secondary use.
[0004] Although the above method can achieve the secondary utilization of lithium battery negative electrode graphite waste, the treatment process used to treat lithium battery negative electrode graphite waste is too complicated, resulting in resource waste and environmental pollution when recycling and utilizing retired batteries, and preparing high-value oxygen reduction electrocatalysts at the same time. Summary of the invention
[0005] The present invention provides a method, device and computer-readable storage medium for preparing an oxygen reduction electrocatalyst based on retired batteries, the main purpose of which is to solve the problems of resource waste and environmental pollution caused by the recycling and utilization of retired batteries, and to prepare high-value oxygen reduction electrocatalysts at the same time.
[0006] To achieve the above object, the present invention provides a method for preparing an oxygen reduction electrocatalyst based on retired batteries, comprising:
[0007] Acquire an initial retired battery set as a raw material, wherein the initial retired battery set includes a plurality of retired batteries, and screen the initial retired battery set to obtain a target retired battery set;
[0008] The step of screening the initial retired battery set to obtain a target retired battery set includes:
[0009] Acquire a retired battery type set based on an initial retired battery set, and perform an identification operation on retired batteries in the initial retired battery set according to the retired battery type set to obtain identified retired batteries;
[0010] Summarizing the identified retired batteries according to their types to obtain one or more classified retired battery sets;
[0011] Extracting a classified retired battery set from the one or more classified retired battery sets in sequence, and performing the following operations on the extracted classified retired battery set:
[0012] Extract retired batteries from the extracted classified retired battery set in sequence, and perform the following operations on the extracted retired batteries:
[0013] Acquire evaluation data of the extracted retired batteries, wherein the evaluation data includes: remaining capacity of the retired batteries, resistance of the retired batteries, and service life of the retired batteries;
[0014] Obtaining a target service life of retired batteries, constructing a comprehensive retired battery assessment relationship based on the target service life, and calculating a comprehensive assessment value using the assessment data and the comprehensive retired battery assessment relationship;
[0015] Compare the comprehensive assessment value with the preset assessment threshold;
[0016] If the comprehensive evaluation value is greater than or equal to the evaluation threshold, it is indicated that the extracted retired battery is a recycled battery;
[0017] Otherwise, confirm that the extracted retired battery is the target retired battery;
[0018] Aggregating the target retired batteries to obtain a target retired battery set;
[0019] Extract retired batteries from the target retired battery set in sequence, and perform the following operations on the extracted retired batteries:
[0020] Obtaining discharged batteries based on the extracted retired batteries, and performing disassembly operations on the discharged batteries using a pre-built battery disassembler to obtain negative electrode waste, wherein the negative electrode waste includes organic waste and inorganic waste;
[0021] Performing a pyrolysis operation on the negative electrode waste to obtain an inorganic waste, and performing an acid leaching operation on the inorganic waste using a pre-constructed acid solution to obtain a recycled waste, wherein the acid solution is composed of 3.0 mol / L sulfuric acid and 5 vol% hydrogen peroxide, and the acid leaching operation temperature is preset to 80° C., and the acid leaching operation time is 2 hours;
[0022] Filtering the recycled waste to obtain graphite waste, obtaining a first prepared sample based on the graphite waste, wherein the first prepared sample is composed of 0.6 g of graphite waste and 3.8 g of ammonium persulfate, performing a mechanical activation operation on the first prepared sample to obtain a second prepared sample, wherein the mechanical activation time is preset to be 10 hours;
[0023] Obtaining a third prepared sample based on the second prepared sample, wherein the third prepared sample is composed of 0.24 g of the second prepared sample and 1 g of urea, obtaining target combination parameters for grinding, inputting the target combination parameters into a pre-built grinder to obtain a target grinder, and performing a grinding operation on the third prepared sample based on the target grinder to obtain a target prepared sample;
[0024] The target preparation sample is introduced into a pre-constructed tubular furnace, and the tubular furnace is used to perform a heat treatment operation on the target preparation sample to obtain a target product, wherein the atmosphere of the tubular furnace is preset to be an argon atmosphere, and the heating rate of the tubular furnace is preset to be 20°C / min. After the temperature in the tubular furnace reaches 700°C, the tubular furnace is used to perform a heat preservation operation on the target preparation sample, and the heat preservation time corresponding to the heat preservation operation is 30 minutes.
[0025] Optionally, the comprehensive retired battery assessment relationship is as follows:
[0026]
[0027] Wherein, z represents the comprehensive evaluation value, α, β, and γ are all preset coefficients, s0 represents the remaining capacity of the extracted retired battery, s1 represents the rated capacity of the extracted retired battery, wherein the remaining capacity and the rated capacity are both related to the type of retired battery, θ represents the resistance of the extracted retired battery, and t0 represents the service life of the extracted retired battery. Indicates the target service life corresponding to the extracted retired batteries.
[0028] Optionally, obtaining the target service life of the retired battery includes:
[0029] Obtain a reference life set of retired batteries, wherein the reference life set includes multiple reference lifespans, extract reference lifespans from the reference life set in sequence, and perform the following operations on the extracted reference lifespans:
[0030] The dispersion value is calculated based on the extracted reference life and the pre-built dispersion relationship, where the dispersion relationship is as follows:
[0031]
[0032] Among them, F i represents the ith scattered value, T i represents the i-th reference life, n represents the total number of n reference lifespans in the reference lifespan set, and U p represents the pth reference life in the reference life set;
[0033] Summarizing the scattered values to obtain a scattered value set, and performing a sorting operation on the scattered values in the scattered value set in order from large to small to obtain a scattered value sequence;
[0034] A target service life is obtained based on the dispersed numerical sequence.
[0035] Optionally, obtaining a target service life based on the scattered numerical sequence includes:
[0036] Extract scattered values from the scattered value sequence in sequence, and perform the following operations on the extracted scattered values:
[0037] Comparing the extracted dispersion value with a preset dispersion threshold, if the dispersion value is greater than or equal to the dispersion threshold, eliminating the reference life corresponding to the dispersion value, and when the number of eliminated dispersion values reaches a preset screening value, summarizing the reference life corresponding to the retained dispersion values to obtain a second reference life set, taking the second reference life set as the reference life set, and returning to the step of calculating the dispersion value based on the extracted reference life and the pre-constructed dispersion relationship;
[0038] If the extracted scattered value is less than the scattered threshold, the reference life corresponding to the retained scattered value is summarized to obtain a target service life set, and the target service life is obtained using the target service life set, wherein the target service life is the average of multiple target service lives in the target service life set.
[0039] Optionally, obtaining a discharged battery based on the extracted retired battery includes:
[0040] The rated output power of the extracted retired battery is obtained, and a discharge operation is performed on the extracted retired battery based on the rated output power until the extracted retired battery can no longer perform the discharge operation, thereby obtaining a discharged battery.
[0041] Optionally, obtaining target combination parameters for grinding includes:
[0042] A parameter set for performing a grinding operation is obtained, wherein the parameter set includes one or more grinding combination parameters, and the grinding combination parameters are as follows:
[0043]
[0044] Among them, Q j represents the jth grinding combination parameter among one or more grinding combination parameters, P j represents the jth grinding power, V j represents the jth grinding speed, K j represents the jth grinding temperature, t j represents the jth grinding time;
[0045] Extract grinding combination parameters from the one or more grinding combination parameters in sequence, and perform the following operations on the extracted grinding combination parameters:
[0046] Inputting the extracted grinding combination parameters into the grinding machine, and obtaining a grinding sample based on the grinding machine after the input grinding combination parameters and a pre-constructed control sample, wherein the composition of the control sample is the same as the composition of the third prepared sample;
[0047] The target grinding mass is obtained by using the grinding sample, and the grinding mass specific gravity is calculated by using the target grinding mass. The calculation formula is as follows:
[0048]
[0049] Where p represents the grinding mass specific gravity, m1 represents the mass of the control sample, and m0 represents the target grinding mass;
[0050] Comparing the grinding mass ratio with a preset grinding mass threshold, if the grinding mass ratio is greater than or equal to the grinding mass threshold, retaining the grinding combination parameter corresponding to the grinding mass ratio, otherwise eliminating the grinding combination parameter corresponding to the grinding mass ratio;
[0051] The retained grinding combination parameters are summarized to obtain an initial combination parameter set, and the target combination parameters are obtained based on the initial combination parameter set.
[0052] Optionally, acquiring a target combination parameter based on the initial combination parameter set includes:
[0053] Extract grinding combination parameters from the initial combination parameter set in sequence, and perform the following operations on the extracted grinding combination parameters:
[0054] Obtaining an evaluation index set for evaluating grinding combination parameters, constructing a judgment matrix based on the evaluation index set and the extracted grinding combination parameters, and obtaining a grinding score value using the judgment matrix and a pre-constructed hierarchical analysis method, wherein the scaling method of the hierarchical analysis method is preset to be a 1 to 9 scaling method;
[0055] The grinding score values are summarized to obtain a grinding score set, and a target combination parameter is obtained based on the grinding score set, wherein the target combination parameter is a grinding combination parameter corresponding to the grinding score value with the largest value in the grinding score set.
[0056] Optionally, the evaluation index set consists of efficiency index, energy consumption index and grinding index, wherein the efficiency index includes: the time required for grinding, the energy consumption index includes: the energy consumption required to maintain the grinding temperature and the energy consumption corresponding to the output power of the grinder, and the grinding index includes: the grinding mass specific gravity.
[0057] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:
[0058] at least one processor; and,
[0059] a memory communicatively connected to the at least one processor; wherein,
[0060] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the above-mentioned method for preparing oxygen reduction electrocatalyst based on retired batteries.
[0061] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned method for preparing oxygen reduction electrocatalyst based on retired batteries.
[0062] Compared with the problem described in the background technology, the present invention first obtains an initial retired battery set as a raw material, wherein the initial retired battery set includes a plurality of retired batteries, and screens the initial retired battery set to obtain a target retired battery set. It can be seen that the present invention does not directly use the retired batteries in the obtained initial retired battery set, but after screening out the recycled batteries that can be put into secondary utilization, the batteries that cannot be put into secondary recycling are used as raw materials of the embodiment of the present invention, thereby solving the problem of energy waste caused by the recycling of retired batteries. Thereafter, a discharged battery is obtained based on the extracted retired battery, and a pre-constructed battery disassembler is used to perform a disassembly operation on the discharged battery to obtain negative electrode waste, wherein the negative electrode waste includes organic waste and inorganic waste, and a pyrolysis operation is performed on the negative electrode waste to obtain inorganic waste, and a pre-constructed acid solution is used to perform an acid leaching operation on the inorganic waste to obtain recycled waste, wherein the acid solution is composed of 3.0 mol / L sulfuric acid and 5 vol% hydrogen peroxide, and the temperature of the acid leaching operation is preset to 80°C, and the time for performing the acid leaching operation is 2h. Correspondingly, the embodiment of the present invention focuses on the recycling of negative electrode waste of retired batteries, and before the negative electrode waste is processed, it is considered that the organic waste included in the negative electrode waste may affect the recycling and utilization of inorganic waste in the negative electrode waste. Therefore, the organic waste is processed by pyrolysis operation, and the acid hydrolysis solution is used to achieve the recovery of most of the metals in the inorganic waste. In addition, in the embodiment of the present invention, the recycled waste is filtered to obtain graphite waste, and a first prepared sample is obtained based on the graphite waste, wherein the first prepared sample is composed of 0.6g of graphite waste and 3.8g of ammonium persulfate, and a mechanical activation operation is performed on the first prepared sample to obtain a second prepared sample, wherein the mechanical activation time is preset to 10 hours, and a second prepared sample is obtained based on the second prepared sample. Three prepared samples, wherein the third prepared sample is composed of 0.24g of the second prepared sample and 1g of urea, the target combination parameters for grinding are obtained, the target combination parameters are input into the pre-constructed grinder to obtain the target grinder, the third prepared sample is ground based on the target grinder to obtain the target prepared sample, the target prepared sample is introduced into the pre-constructed tubular furnace, and the tubular furnace is used to perform a heat treatment operation on the target prepared sample to obtain the target product, wherein the atmosphere of the tubular furnace is preset to be an argon atmosphere, the heating rate of the tubular furnace is preset to be 20°C / min, until the temperature in the tubular furnace reaches 700°C, the tubular furnace is used to perform a heat preservation operation on the target prepared sample, and the heat preservation time corresponding to the heat preservation operation is 30 minutes. It can be seen that the present invention not only formulates the specific conditions for obtaining each product, but also considers obtaining the target combination parameters in combination with the actual situation and the requirements of the target product, thereby saving resources while meeting the requirements when the target product is obtained.Therefore, the method, device, electronic device and computer-readable storage medium for preparing oxygen reduction electrocatalysts based on retired batteries proposed in the present invention mainly aim to solve the problems of resource waste and environmental pollution caused by the recycling and utilization of retired batteries, and at the same time prepare high-value oxygen reduction electrocatalysts. BRIEF DESCRIPTION OF THE DRAWINGS
[0063] Figure 1 A schematic flow chart of a method for preparing an oxygen reduction electrocatalyst based on retired batteries provided in one embodiment of the present invention;
[0064] Figure 2 A schematic diagram of the structure of the target product in the X-ray diffraction spectrum in the method for preparing an oxygen reduction electrocatalyst based on retired batteries provided in one embodiment of the present invention;
[0065] Figure 3 A schematic diagram of the structure of a target product under a scanning electron microscope in a method for preparing an oxygen reduction electrocatalyst based on retired batteries provided in one embodiment of the present invention;
[0066] Figure 4 A schematic diagram of the structure of nanoparticles in the target product of a method for preparing an oxygen reduction electrocatalyst based on retired batteries provided in one embodiment of the present invention;
[0067] Figure 5 A schematic diagram of the structure of the nanoparticle components in the target product of the method for preparing an oxygen reduction electrocatalyst based on retired batteries provided in one embodiment of the present invention;
[0068] Figure 6 A schematic diagram showing the performance comparison between a method for preparing an oxygen reduction electrocatalyst based on retired batteries provided in one embodiment of the present invention and a 20wt.% Pt / C catalyst at different mechanical activation times;
[0069] Figure 7 A schematic diagram of the structure of an electronic device for implementing the method for preparing an oxygen reduction electrocatalyst based on retired batteries provided in one embodiment of the present invention.
[0070] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION
[0071] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.
[0072] The embodiment of the present application provides a method for preparing an oxygen reduction electrocatalyst based on retired batteries. The execution subject of the method for preparing an oxygen reduction electrocatalyst based on retired batteries includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for preparing an oxygen reduction electrocatalyst based on retired batteries can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.
[0073] Embodiment 1:
[0074] Reference Figure 1 FIG. 1 is a flow chart of a method for preparing an oxygen reduction electrocatalyst based on a retired battery according to an embodiment of the present invention. In this embodiment, the method for preparing an oxygen reduction electrocatalyst based on a retired battery includes:
[0075] S1. Acquire an initial retired battery set as raw materials, wherein the initial retired battery set includes a plurality of retired batteries, and screen the initial retired battery set to obtain a target retired battery set.
[0076] It is understandable that retired batteries are lithium batteries that are recycled from the market and retired. The embodiments of the present invention mainly solve the problem of waste of resources caused by recycling and utilizing retired batteries.
[0077] Furthermore, the screening of the initial retired battery set to obtain a target retired battery set includes:
[0078] Acquire a retired battery type set based on an initial retired battery set, and perform an identification operation on retired batteries in the initial retired battery set according to the retired battery type set to obtain identified retired batteries;
[0079] Summarizing the identified retired batteries according to their types to obtain one or more classified retired battery sets;
[0080] Extracting a classified retired battery set from the one or more classified retired battery sets in sequence, and performing the following operations on the extracted classified retired battery set:
[0081] Extract retired batteries from the extracted classified retired battery set in sequence, and perform the following operations on the extracted retired batteries:
[0082] Acquire evaluation data of the extracted retired batteries, wherein the evaluation data includes: remaining capacity of the retired batteries, resistance of the retired batteries, and service life of the retired batteries;
[0083] Obtaining a target service life of retired batteries, constructing a comprehensive retired battery assessment relationship based on the target service life, and calculating a comprehensive assessment value using the assessment data and the comprehensive retired battery assessment relationship;
[0084] Compare the comprehensive assessment value with the preset assessment threshold;
[0085] If the comprehensive evaluation value is greater than or equal to the evaluation threshold, it is indicated that the extracted retired battery is a recycled battery;
[0086] Otherwise, confirm that the extracted retired battery is the target retired battery;
[0087] The target retired batteries are aggregated to obtain a target retired battery set.
[0088] It is understandable that the retired battery type set is a set of all retired battery types in the retired battery set, and the set includes each type of retired battery in the retired battery set, and includes each execution standard of the retired battery. For example, the retired battery set includes: type A retired battery and type B retired battery, and type A retired battery includes first-level type A retired battery and second-level type A retired battery, and type B retired battery includes first-level type B retired battery, then the retired battery type set includes: first-level type A retired battery and second-level type A retired battery and first-level type B retired battery. According to the types of identified retired batteries, the identified retired batteries are respectively summarized to obtain one or more classified retired battery sets, the purpose of which is to combine the actual execution standards of retired batteries with the use of retired batteries in actual life to improve the accuracy of judging whether retired batteries need to be reused. Then, the problem of insufficient secondary utilization of retired batteries is initially solved. Recycled batteries are retired batteries that can be reused. The setting of the assessment threshold can be obtained by experiment, for example: combining the actual use time of retired batteries, the types of retired batteries and the energy consumption required for retired batteries during maintenance to fit whether retired batteries can be reused, and obtain the assessment threshold. Optionally, the fitting method is an orthogonal experimental method, that is, by repairing multiple retired batteries that can be reused and obtaining the cost incurred when they are put into secondary use, a function related to the usage time, type and energy consumption is fitted, and the function is used to obtain the evaluation threshold.
[0089] Furthermore, the comprehensive retired battery assessment relationship is as follows:
[0090]
[0091] Wherein, z represents the comprehensive evaluation value, α, β, and γ are all preset coefficients, s0 represents the remaining capacity of the extracted retired battery, s1 represents the rated capacity of the extracted retired battery, wherein the remaining capacity and the rated capacity are both related to the type of retired battery, θ represents the resistance of the extracted retired battery, and t0 represents the service life of the extracted retired battery. Indicates the target service life corresponding to the extracted retired batteries.
[0092] It is understandable that as the battery is used, the ratio of the remaining capacity to the rated capacity will become smaller and smaller, while the resistance of the retired battery may increase as the battery is used. When the service life of the retired battery is less than the target service life, If the value of is negative, the calculated comprehensive evaluation value becomes larger. Therefore, when the comprehensive evaluation value is greater than or equal to the evaluation threshold, the retired battery is a recycled battery.
[0093] It should be explained that the target service life of the retired battery is obtained, including:
[0094] Obtain a reference life set of retired batteries, wherein the reference life set includes multiple reference lifespans, extract reference lifespans from the reference life set in sequence, and perform the following operations on the extracted reference lifespans:
[0095] The dispersion value is calculated based on the extracted reference life and the pre-built dispersion relationship, where the dispersion relationship is as follows:
[0096]
[0097] Among them, F i represents the ith scattered value, T i represents the i-th reference life, n represents the total number of n reference lifespans in the reference lifespan set, and U p represents the pth reference life in the reference life set;
[0098] Summarizing the scattered values to obtain a scattered value set, and performing a sorting operation on the scattered values in the scattered value set in order from large to small to obtain a scattered value sequence;
[0099] A target service life is obtained based on the dispersed numerical sequence.
[0100] Further, the step of obtaining a target service life based on the dispersed numerical sequence includes:
[0101] Extract scattered values from the scattered value sequence in sequence, and perform the following operations on the extracted scattered values:
[0102] Comparing the extracted dispersion value with a preset dispersion threshold, if the dispersion value is greater than or equal to the dispersion threshold, eliminating the reference life corresponding to the dispersion value, and when the number of eliminated dispersion values reaches a preset screening value, summarizing the reference life corresponding to the retained dispersion values to obtain a second reference life set, taking the second reference life set as the reference life set, and returning to the step of calculating the dispersion value based on the extracted reference life and the pre-constructed dispersion relationship;
[0103] If the extracted scattered value is less than the scattered threshold, the reference life corresponding to the retained scattered value is summarized to obtain a target service life set, and the target service life is obtained using the target service life set, wherein the target service life is the average of multiple target service lives in the target service life set.
[0104] It is understandable that in the actual use of the battery, the service life of the retired battery in actual use may not reach the expected life of the retired battery due to the user's usage habits, the temperature during use, the working environment during use, etc. Therefore, when using the reference life set to obtain the target service life for calculation, it is necessary to consider screening the reference life in the reference life set until the reference life set after screening, that is, the target service life set meets the preset conditions. Use the target service life set to obtain the target reference life. Optionally, the screening value can be set according to the number of reference lives in the reference life set, for example: take 2 / 1000 of the number of reference lives in the reference life set as the screening value. By screening the reference life in the reference life set, the multiple reference lives included in the screened target life set are more in line with the general situation of retired batteries, solving the problem of inaccurate judgment on whether retired batteries meet the retirement requirements due to usage habits, usage behaviors, types of retired batteries and manufacturing processes.
[0105] Exemplarily, there are 6 reference lifespans in the reference lifespan set, and the 6 reference lifespans are 5, 6, 4, 1, 9 and 7, respectively. The calculated mean of the reference lifespan set is 5.3, the preset dispersion threshold is 3, and the preset screening value is 2. After excluding the reference lifespans with values of 1 and 9, the reference lifespans corresponding to the retained dispersion values are summarized to obtain a second reference lifespan set, wherein the second reference lifespan set is composed of 4 reference lifespans, and the 4 reference lifespans are 5, 6, 4 and 7, respectively. The second reference lifespan set is used as the reference lifespan set, and the step of calculating the mean of the reference lifespan based on the reference lifespan set is returned. After calculation, it can be seen that the dispersion values corresponding to the reference lifespans in the second reference lifespan set are all less than the dispersion threshold, and the obtained second reference lifespan set is the target service life set.
[0106] S2. Obtaining discharged batteries based on the extracted retired batteries, and using a pre-built battery disassembler to perform disassembly operations on the discharged batteries to obtain negative electrode waste, wherein the negative electrode waste includes organic waste and inorganic waste.
[0107] Further, obtaining a discharged battery based on the extracted retired battery includes:
[0108] The rated output power of the extracted retired battery is obtained, and a discharge operation is performed on the extracted retired battery based on the rated output power until the extracted retired battery can no longer perform the discharge operation, thereby obtaining a discharged battery.
[0109] It is understandable that the retired battery should release the electric energy that may be stored in the retired battery before the disassembly operation is performed, and when releasing the electric energy, the rated output power is used to perform the discharge operation on the retired battery, thereby improving the safety when disassembling the retired battery. Optionally, the battery disassembler is a manipulator, and other technologies can achieve the same effect, which will not be repeated here. Negative electrode waste is the waste included in the negative electrode of the discharged battery when the disassembly operation is performed on the discharged battery. The discharge operation refers to allowing the retired battery to output energy at the rated output power.
[0110] S3. Performing a pyrolysis operation on the negative electrode waste to obtain inorganic waste, and performing an acid leaching operation on the inorganic waste using a pre-constructed acid leaching solution to obtain recycled waste, wherein the acid leaching solution is composed of 3.0 mol / L sulfuric acid and 5 vol% hydrogen peroxide, and the preset temperature of the acid leaching operation is 80° C., and the time for performing the acid leaching operation is 2 hours.
[0111] It is understandable that the pyrolysis operation means that by reducing the binding force between the binder and the positive electrode active material at high temperature, the organic matter can be eliminated by thermal decomposition operation at high temperature. The elimination of organic waste in the negative electrode waste can separate the metal inside the retired battery from other components, thereby solving the problem of low utilization rate of retired batteries and the problem of waste of resources caused by recycling retired batteries. The acid leaching operation refers to the operation of immersing inorganic waste in the acid solution. For example: when organic waste causes inorganic waste to adhere to each other, the acid solution cannot contact the inorganic waste, and thus, the inorganic waste in the negative electrode waste cannot be dissolved.
[0112] S4. Filter the recycled waste to obtain graphite waste, and obtain a first prepared sample based on the graphite waste, wherein the first prepared sample is composed of 0.6g of graphite waste and 3.8g of ammonium persulfate, and perform a mechanical activation operation on the first prepared sample to obtain a second prepared sample, wherein the mechanical activation time is preset to 10 hours.
[0113] It should be understood that the purpose of filtering and recycling waste is to separate the graphite waste in the recycled waste from the inorganic waste dissolved in the acid solution, and the resulting graphite waste. The inorganic waste dissolved in the acid solution includes: metals used to manufacture batteries. By extracting metals from the acid solution, the valuable metal elements in retired batteries can be recovered. The separated graphite waste is used as a raw material for preparing high-efficiency oxygen reduction electrocatalysts to achieve the secondary utilization of graphite waste, thereby improving the secondary utilization rate of retired batteries and solving the problem of waste of resources caused by the recycling and utilization of retired batteries. Among them, the graphite waste is composed of graphite as the main component and some metals that are not dissolved in the acid solution.
[0114] It is understandable that before performing the mechanical activation operation, 0.6 g of graphite waste and 3.8 g of ammonium persulfate in the first prepared sample should be fully mixed. Mechanical activation refers to the process in which a solid material is subjected to impact, extrusion, collision, etc. under the action of mechanical force, resulting in breakage, deformation, and various crystal defects, which leads to an increase in the internal energy of the material and an increase in the reaction activity. The operation method is a prior art and will not be repeated here.
[0115] S5. Obtain a third prepared sample based on the second prepared sample, wherein the third prepared sample is composed of 0.24 g of the second prepared sample and 1 g of urea, obtain target combination parameters for grinding, input the target combination parameters into a pre-built grinder to obtain a target grinder, perform a grinding operation on the third prepared sample based on the target grinder to obtain a target prepared sample.
[0116] It should be understood that, optionally, the grinder is a ball mill, and other technologies can achieve the same effect, which will not be described in detail here.
[0117] Further, the obtaining of target combination parameters for grinding includes:
[0118] A parameter set for performing a grinding operation is obtained, wherein the parameter set includes one or more grinding combination parameters, and the grinding combination parameters are as follows:
[0119] Q j = {P j ,V j ,K j , t j}
[0120] Among them, Q j represents the jth grinding combination parameter among one or more grinding combination parameters, P j represents the jth grinding power, V j represents the jth grinding speed, K j represents the jth grinding temperature, t j represents the jth grinding time;
[0121] Extract grinding combination parameters from the one or more grinding combination parameters in sequence, and perform the following operations on the extracted grinding combination parameters:
[0122] Inputting the extracted grinding combination parameters into the grinding machine, and obtaining a grinding sample based on the grinding machine after the input grinding combination parameters and a pre-constructed control sample, wherein the composition of the control sample is the same as the composition of the third prepared sample;
[0123] The target grinding mass is obtained by using the grinding sample, and the grinding mass specific gravity is calculated by using the target grinding mass. The calculation formula is as follows:
[0124]
[0125] Where p represents the grinding mass specific gravity, m1 represents the mass of the control sample, and m0 represents the target grinding mass;
[0126] Comparing the grinding mass ratio with a preset grinding mass threshold, if the grinding mass ratio is greater than or equal to the grinding mass threshold, retaining the grinding combination parameter corresponding to the grinding mass ratio, otherwise eliminating the grinding combination parameter corresponding to the grinding mass ratio;
[0127] The retained grinding combination parameters are summarized to obtain an initial combination parameter set, and the target combination parameters are obtained based on the initial combination parameter set.
[0128] It should be understood that the acquisition of one or more grinding combination parameters includes:
[0129] Obtaining a grinding speed range for grinding, obtaining one or more grinding speeds based on the grinding speed range, and respectively obtaining one or more grinding powers, one or more grinding temperatures, and one or more grinding times for grinding;
[0130] A combination operation is performed on the one or more grinding speeds, the one or more grinding powers, the one or more grinding temperatures and the one or more grinding times to obtain one or more grinding combination parameters.
[0131] Further, the method for obtaining a ground sample based on the grinding machine after inputting the grinding combination parameters is: obtaining a control sample with the same composition as the third prepared sample, and performing a grinding operation on the control sample using the grinding machine after inputting the grinding combination parameters to obtain a ground sample. The grinding speed range can be obtained by experience. Optionally, the method for obtaining one or more grinding speeds based on the grinding speed range is an equal division method. For example: the obtained grinding speed range is: 200 to 300 revolutions per second, and the grinding speed range is evenly divided into five parts to obtain six grinding speeds, wherein the first grinding speed is 200 revolutions per second, the second grinding speed is: 220 revolutions per second, the third grinding speed is 240 revolutions per second, the fourth grinding speed is 260 revolutions per second, the fifth grinding speed is: 280 revolutions per second and the sixth grinding speed is: 300 revolutions per second. The same effect can be achieved by other methods, which will not be repeated here. Optionally, the acquisition method of one or more grinding powers, one or more grinding temperatures and one or more grinding times is the same as the acquisition method of one or more grinding speeds, and can achieve the same effect, which will not be repeated here.
[0132] It should be explained that the target grinding quality refers to the quality of the material in the grinding sample that meets the grinding requirements. For example: it is proposed that the material in the grinding sample with a particle diameter less than 0.05mm meets the grinding requirements, then the target grinding quality can be obtained by passing the grinding sample through a 0.05mm sieve. Other methods can achieve the same effect, which will not be repeated here. When the grinding mass specific gravity is greater than or equal to the grinding mass threshold, it can be considered that the grinding combination parameters corresponding to the grinding mass specific gravity can meet the grinding requirements, that is, meet the requirements of sufficient grinding. Because under different grinding combination parameters, there may be multiple grinding combination parameters that meet the grinding requirements, but the actual existing grinding combination parameters may cause the problem of waste of resources, for example: in order to ensure the quality of grinding, an excessively long grinding time is set. Therefore, the target combination parameters are obtained from the initial combination parameter set, thereby solving the problem of waste of resources.
[0133] It can be understood that the acquiring the target combination parameter based on the initial combination parameter set includes:
[0134] Extract grinding combination parameters from the initial combination parameter set in sequence, and perform the following operations on the extracted grinding combination parameters:
[0135] Obtaining an evaluation index set for evaluating grinding combination parameters, constructing a judgment matrix based on the evaluation index set and the extracted grinding combination parameters, and obtaining a grinding score value using the judgment matrix and a pre-constructed hierarchical analysis method, wherein the scaling method of the hierarchical analysis method is preset to be a 1 to 9 scaling method;
[0136] The grinding score values are summarized to obtain a grinding score set, and a target combination parameter is obtained based on the grinding score set, wherein the target combination parameter is a grinding combination parameter corresponding to the grinding score value with the largest value in the grinding score set.
[0137] Furthermore, the analytic hierarchy process is a prior art and will not be described in detail here. The use of the 1 to 9 scaling method can expand the differences between the grinding combination parameters, so that the target combination parameters obtained are better. For example: under the same circumstances, for grinding combination parameter A and grinding combination parameter B, when the 1 to 3 scaling method is used, the grinding score values obtained by the analytic hierarchy process are the same, and when the 1 to 9 scaling method is used, the grinding score value corresponding to grinding combination parameter A is higher than the grinding score value corresponding to grinding combination parameter B, then the output grinding combination parameter A is the target combination parameter.
[0138] It should be explained that the evaluation index set is composed of efficiency index, energy consumption index and grinding index, among which the efficiency index includes: the time required for grinding, the energy consumption index includes: the energy consumption required to maintain the grinding temperature and the energy consumption corresponding to the output power of the grinder, and the grinding index includes: the grinding mass specific gravity.
[0139] S6. Introduce the target preparation sample into a pre-constructed tubular furnace, and use the tubular furnace to perform a heat treatment operation on the target preparation sample to obtain a target product, wherein the atmosphere of the tubular furnace is preset to be an argon atmosphere, and the heating rate of the tubular furnace is preset to be 20°C / min. After the temperature in the tubular furnace reaches 700°C, the tubular furnace is used to perform a heat preservation operation on the target preparation sample, and the heat preservation time corresponding to the heat preservation operation is 30 minutes.
[0140] It should be understood that the target product obtained based on the embodiment of the present invention can not only be used as an ORR electrocatalyst, but also reduces the energy consumption required for the production of ORR electrocatalysts, and solves the problem of waste of resources caused by the need for deep impurity removal of retired battery negative electrode materials before they can be recycled or reused.
[0141] Illustratively, at room temperature, the target preparation sample is introduced into a tube furnace, and the gas in the tube furnace is argon, that is, the atmosphere of the tube furnace is an argon atmosphere. Starting from room temperature, the tube furnace is heated at a heating rate of 20°C / min until the temperature in the tube furnace reaches 700°C. The target preparation sample is kept heated in the 700°C tube furnace environment for 30 minutes to obtain a target product.
[0142] It should be explained that see Figure 2 As shown in FIG. 1 , the XRD spectra of the target product and the retired battery graphite waste are shown, wherein the target product is the sample after mechanical activation for 10 hours, such as Figure 2As shown, the peak positions of the target product in the XRD spectrum match well with the characteristic peaks of 26.1° and 43.2° of retired battery graphite waste, which indicates that the main body of the target product is still graphite. Figure 3 As shown, it is a SEM image of the target product, which shows that nanoparticles are evenly distributed on the surface of the target product, and the size of the nanoparticles is about 10nm, among which, Figure 3 In the figure, the left image is the bright field image, that is, the side marked with a, and the right image is the dark field image, that is, the side marked with b. Figure 4 The figure shows the structure of the nanoparticles in the target product, which indicates that the nanoparticles present a "core-shell structure". Figure 5 The figure shows the composition analysis of the nanoparticles in the target product, which shows that the "core" inside the nanoparticles is composed of transition metal elements such as Cu, Ni, Co, Fe, and Mn, and the "shell" outside the nanoparticles is composed of elements such as S, P, Al, and O. Figure 6 As shown, it is a performance comparison chart with 20wt.% Pt / C catalyst under different mechanical activation times, wherein mechanical activation for 5h indicates: other conditions are the same as the method proposed in this embodiment, only the difference in mechanical activation time exists, and the target product obtained under the mechanical activation time of 5h, it can be seen that mechanical activation for 10h indicates the target product obtained based on this embodiment, and mechanical activation for 20h has the same effect as the mechanical activation for 5h, which will not be repeated here. Using the method proposed in this embodiment, an oxygen reduction electrocatalyst is prepared, and its half-wave potential reaches 0.992V, and its performance exceeds that of a 20wt.% Pt / C catalyst. Figure 6 The method for obtaining the source is as follows: the target product corresponding to mechanical activation for 5 hours, the target product corresponding to the embodiment of the present invention, that is, the target product corresponding to mechanical activation for 10 hours, the target product corresponding to mechanical activation for 20 hours, and a 20wt.% Pt / C catalyst are subjected to an ORR performance test, wherein 0.1MKOH (pH=12.9-13.0) is used as a simulated electrolyte, the target product or the 20wt.% Pt / C catalyst is used as a working electrode, a graphite rod is used as a counter electrode, and Hg / HgO is used as a reference electrode, and a linear voltammetry (LSV) test is performed under three-electrode system conditions to obtain Figure 6 .
[0143] Compared with the problem described in the background technology, the present invention first obtains an initial retired battery set as a raw material, wherein the initial retired battery set includes a plurality of retired batteries, and screens the initial retired battery set to obtain a target retired battery set. It can be seen that the present invention does not directly use the retired batteries in the obtained initial retired battery set, but after screening out the recycled batteries that can be put into secondary utilization, the batteries that cannot be put into secondary recycling are used as raw materials of the embodiment of the present invention, thereby solving the problem of energy waste caused by the recycling of retired batteries. Thereafter, a discharged battery is obtained based on the extracted retired battery, and a pre-constructed battery disassembler is used to perform a disassembly operation on the discharged battery to obtain negative electrode waste, wherein the negative electrode waste includes organic waste and inorganic waste, and a pyrolysis operation is performed on the negative electrode waste to obtain inorganic waste, and a pre-constructed acid solution is used to perform an acid leaching operation on the inorganic waste to obtain recycled waste, wherein the acid solution is composed of 3.0 mol / L sulfuric acid and 5 vol% hydrogen peroxide, and the temperature of the acid leaching operation is preset to 80°C, and the time for performing the acid leaching operation is 2h. Correspondingly, the embodiment of the present invention focuses on the recycling of the negative electrode waste of retired batteries, and before the negative electrode waste is processed, it is considered that the organic waste included in the negative electrode waste may affect the recycling and utilization of the inorganic waste in the negative electrode waste. Therefore, the organic waste is processed by pyrolysis operation, and the acid hydrolysis solution is used to achieve the recovery of most of the metals in the inorganic waste. In addition, in the embodiment of the present invention, the recycled waste is filtered to obtain graphite waste, and a first prepared sample is obtained based on the graphite waste, wherein the first prepared sample is composed of 0.6g of graphite waste and 3.8g of ammonium persulfate, and a mechanical activation operation is performed on the first prepared sample to obtain a second prepared sample, wherein the mechanical activation time is preset to 10 hours, and a third prepared sample is obtained based on the second prepared sample, wherein the third prepared sample is composed of 0.24g of the second prepared sample and 1g of urea, and a target combination parameter for grinding is obtained, and the target combination parameter is input into a pre-constructed grinder to obtain a target grinder, and the third prepared sample is ground based on the target grinder. Operation is performed to obtain a target preparation sample, and the target preparation sample is introduced into a pre-constructed tubular furnace, and the tubular furnace is used to perform a heat treatment operation on the target preparation sample to obtain a target product, wherein the atmosphere of the tubular furnace is preset to be an argon atmosphere, and the heating rate of the tubular furnace is preset to be 20°C / min, until the temperature in the tubular furnace reaches 700°C, the tubular furnace is used to perform a heat preservation operation on the target preparation sample, and the heat preservation time corresponding to the heat preservation operation is 30 minutes. It can be seen that the present invention not only formulates specific conditions for obtaining each product, but also considers obtaining the target combination parameters in combination with the actual situation and the requirements of the target product, thereby saving resources while meeting the requirements when the target product is obtained.Therefore, the method, device, electronic device and computer-readable storage medium for preparing oxygen reduction electrocatalysts based on retired batteries proposed in the present invention mainly aim to solve the problems of resource waste and environmental pollution caused by the recycling and utilization of retired batteries, and at the same time prepare high-value oxygen reduction electrocatalysts.
[0144] Embodiment 2:
[0145] like Figure 7 , is a schematic diagram of the structure of an electronic device for implementing a method for preparing an oxygen reduction electrocatalyst based on retired batteries provided by one embodiment of the present invention.
[0146] The electronic device 1 may include a processor 10, a memory 11, a bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a program for preparing an oxygen reduction electrocatalyst based on retired batteries.
[0147] Among them, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 can also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 can also include both an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the oxygen reduction electrocatalyst preparation program based on retired batteries, but also can be used to temporarily store data that has been output or is to be output.
[0148] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect the various components of the entire electronic device, and executes or executes the programs or modules stored in the memory 11 (such as the preparation program of oxygen reduction electrocatalysts based on retired batteries, etc.), and calls the data stored in the memory 11 to execute various functions of the electronic device 1 and process data.
[0149] The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.
[0150] Figure 2 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 2 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.
[0151] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.
[0152] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.
[0153] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.
[0154] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.
[0155] The preparation program of oxygen reduction electrocatalyst based on retired batteries stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:
[0156] Acquire an initial retired battery set as a raw material, wherein the initial retired battery set includes a plurality of retired batteries, and screen the initial retired battery set to obtain a target retired battery set;
[0157] The step of screening the initial retired battery set to obtain a target retired battery set includes:
[0158] Acquire a retired battery type set based on an initial retired battery set, and perform an identification operation on retired batteries in the initial retired battery set according to the retired battery type set to obtain identified retired batteries;
[0159] Summarizing the identified retired batteries according to their types to obtain one or more classified retired battery sets;
[0160] Extracting a classified retired battery set from the one or more classified retired battery sets in sequence, and performing the following operations on the extracted classified retired battery set:
[0161] Extract retired batteries from the extracted classified retired battery set in sequence, and perform the following operations on the extracted retired batteries:
[0162] Acquire evaluation data of the extracted retired batteries, wherein the evaluation data includes: remaining capacity of the retired batteries, resistance of the retired batteries, and service life of the retired batteries;
[0163] Obtaining a target service life of retired batteries, constructing a comprehensive retired battery assessment relationship based on the target service life, and calculating a comprehensive assessment value using the assessment data and the comprehensive retired battery assessment relationship;
[0164] Compare the comprehensive assessment value with the preset assessment threshold;
[0165] If the comprehensive evaluation value is greater than or equal to the evaluation threshold, it is indicated that the extracted retired battery is a recycled battery;
[0166] Otherwise, confirm that the extracted retired battery is the target retired battery;
[0167] Aggregating the target retired batteries to obtain a target retired battery set;
[0168] Extract retired batteries from the target retired battery set in sequence, and perform the following operations on the extracted retired batteries:
[0169] Obtaining discharged batteries based on the extracted retired batteries, and performing disassembly operations on the discharged batteries using a pre-built battery disassembler to obtain negative electrode waste, wherein the negative electrode waste includes organic waste and inorganic waste;
[0170] Performing a pyrolysis operation on the negative electrode waste to obtain an inorganic waste, and performing an acid leaching operation on the inorganic waste using a pre-constructed acid solution to obtain a recycled waste, wherein the acid solution is composed of 3.0 mol / L sulfuric acid and 5 vol% hydrogen peroxide, and the acid leaching operation temperature is preset to 80° C., and the acid leaching operation time is 2 hours;
[0171] Filtering the recycled waste to obtain graphite waste, obtaining a first prepared sample based on the graphite waste, wherein the first prepared sample is composed of 0.6 g of graphite waste and 3.8 g of ammonium persulfate, performing a mechanical activation operation on the first prepared sample to obtain a second prepared sample, wherein the mechanical activation time is preset to be 10 hours;
[0172] Obtaining a third prepared sample based on the second prepared sample, wherein the third prepared sample is composed of 0.24 g of the second prepared sample and 1 g of urea, obtaining target combination parameters for grinding, inputting the target combination parameters into a pre-built grinder to obtain a target grinder, and performing a grinding operation on the third prepared sample based on the target grinder to obtain a target prepared sample;
[0173] The target preparation sample is introduced into a pre-constructed tubular furnace, and the tubular furnace is used to perform a heat treatment operation on the target preparation sample to obtain a target product, wherein the atmosphere of the tubular furnace is preset to be an argon atmosphere, and the heating rate of the tubular furnace is preset to be 20°C / min. After the temperature in the tubular furnace reaches 700°C, the tubular furnace is used to perform a heat preservation operation on the target preparation sample, and the heat preservation time corresponding to the heat preservation operation is 30 minutes.
[0174] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figure 1 to Figure 2The description of the relevant steps in the corresponding embodiments will not be repeated here.
[0175] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).
[0176] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:
[0177] Acquire an initial retired battery set as a raw material, wherein the initial retired battery set includes a plurality of retired batteries, and screen the initial retired battery set to obtain a target retired battery set;
[0178] The step of screening the initial retired battery set to obtain a target retired battery set includes:
[0179] Acquire a retired battery type set based on an initial retired battery set, and perform an identification operation on retired batteries in the initial retired battery set according to the retired battery type set to obtain identified retired batteries;
[0180] Summarizing the identified retired batteries according to their types to obtain one or more classified retired battery sets;
[0181] Extracting a classified retired battery set from the one or more classified retired battery sets in sequence, and performing the following operations on the extracted classified retired battery set:
[0182] Extract retired batteries from the extracted classified retired battery set in sequence, and perform the following operations on the extracted retired batteries:
[0183] Acquire evaluation data of the extracted retired batteries, wherein the evaluation data includes: remaining capacity of the retired batteries, resistance of the retired batteries, and service life of the retired batteries;
[0184] Obtaining a target service life of retired batteries, constructing a comprehensive retired battery assessment relationship based on the target service life, and calculating a comprehensive assessment value using the assessment data and the comprehensive retired battery assessment relationship;
[0185] Compare the comprehensive assessment value with the preset assessment threshold;
[0186] If the comprehensive evaluation value is greater than or equal to the evaluation threshold, it is indicated that the extracted retired battery is a recycled battery;
[0187] Otherwise, confirm that the extracted retired battery is the target retired battery;
[0188] Aggregating the target retired batteries to obtain a target retired battery set;
[0189] Extract retired batteries from the target retired battery set in sequence, and perform the following operations on the extracted retired batteries:
[0190] Obtaining discharged batteries based on the extracted retired batteries, and performing disassembly operations on the discharged batteries using a pre-built battery disassembler to obtain negative electrode waste, wherein the negative electrode waste includes organic waste and inorganic waste;
[0191] Performing a pyrolysis operation on the negative electrode waste to obtain an inorganic waste, and performing an acid leaching operation on the inorganic waste using a pre-constructed acid solution to obtain a recycled waste, wherein the acid solution is composed of 3.0 mol / L sulfuric acid and 5 vol% hydrogen peroxide, and the acid leaching operation temperature is preset to 80° C., and the acid leaching operation time is 2 hours;
[0192] Filtering the recycled waste to obtain graphite waste, obtaining a first prepared sample based on the graphite waste, wherein the first prepared sample is composed of 0.6 g of graphite waste and 3.8 g of ammonium persulfate, performing a mechanical activation operation on the first prepared sample to obtain a second prepared sample, wherein the mechanical activation time is preset to be 10 hours;
[0193] Obtaining a third prepared sample based on the second prepared sample, wherein the third prepared sample is composed of 0.24 g of the second prepared sample and 1 g of urea, obtaining target combination parameters for grinding, inputting the target combination parameters into a pre-built grinder to obtain a target grinder, and performing a grinding operation on the third prepared sample based on the target grinder to obtain a target prepared sample;
[0194] The target preparation sample is introduced into a pre-constructed tubular furnace, and the tubular furnace is used to perform a heat treatment operation on the target preparation sample to obtain a target product, wherein the atmosphere of the tubular furnace is preset to be an argon atmosphere, and the heating rate of the tubular furnace is preset to be 20°C / min. After the temperature in the tubular furnace reaches 700°C, the tubular furnace is used to perform a heat preservation operation on the target preparation sample, and the heat preservation time corresponding to the heat preservation operation is 30 minutes.
[0195] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0196] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.
[0197] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.
[0198] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.
Claims
1. A method for preparing an oxygen reduction electrocatalyst based on retired batteries, characterized in that: The method comprises: Acquire an initial retired battery set as a raw material, wherein the initial retired battery set includes a plurality of retired batteries, and screen the initial retired battery set to obtain a target retired battery set; The step of screening the initial retired battery set to obtain a target retired battery set includes: Acquire a retired battery type set based on an initial retired battery set, and perform an identification operation on retired batteries in the initial retired battery set according to the retired battery type set to obtain identified retired batteries; Summarizing the identified retired batteries according to their types to obtain one or more classified retired battery sets; Extracting a classified retired battery set from the one or more classified retired battery sets in sequence, and performing the following operations on the extracted classified retired battery set: Extract retired batteries from the extracted classified retired battery set in sequence, and perform the following operations on the extracted retired batteries: Acquire evaluation data of the extracted retired batteries, wherein the evaluation data includes: remaining capacity of the retired batteries, resistance of the retired batteries, and service life of the retired batteries; Obtaining a target service life of retired batteries, constructing a comprehensive retired battery assessment relationship based on the target service life, and calculating a comprehensive assessment value using the assessment data and the comprehensive retired battery assessment relationship; Compare the comprehensive assessment value with the preset assessment threshold; If the comprehensive evaluation value is greater than or equal to the evaluation threshold, it is indicated that the extracted retired battery is a recycled battery; Otherwise, confirm that the extracted retired battery is the target retired battery; Aggregating the target retired batteries to obtain a target retired battery set; Extract retired batteries from the target retired battery set in sequence, and perform the following operations on the extracted retired batteries: Obtaining discharged batteries based on the extracted retired batteries, and performing disassembly operations on the discharged batteries using a pre-built battery disassembler to obtain negative electrode waste, wherein the negative electrode waste includes organic waste and inorganic waste; Performing a pyrolysis operation on the negative electrode waste to obtain an inorganic waste, and performing an acid leaching operation on the inorganic waste using a pre-constructed acid solution to obtain a recycled waste, wherein the acid solution is composed of 3.0 mol / L sulfuric acid and 5 vol% hydrogen peroxide, and the acid leaching operation temperature is preset to 80° C., and the acid leaching operation time is 2 hours; Filtering the recycled waste to obtain graphite waste, obtaining a first prepared sample based on the graphite waste, wherein the first prepared sample is composed of 0.6 g of graphite waste and 3.8 g of ammonium persulfate, performing a mechanical activation operation on the first prepared sample to obtain a second prepared sample, wherein the mechanical activation time is preset to be 10 hours; Obtaining a third prepared sample based on the second prepared sample, wherein the third prepared sample is composed of 0.24 g of the second prepared sample and 1 g of urea, obtaining target combination parameters for grinding, inputting the target combination parameters into a pre-built grinder to obtain a target grinder, and performing a grinding operation on the third prepared sample based on the target grinder to obtain a target prepared sample; The target preparation sample is introduced into a pre-constructed tubular furnace, and the tubular furnace is used to perform a heat treatment operation on the target preparation sample to obtain a target product, wherein the atmosphere of the tubular furnace is preset to be an argon atmosphere, and the heating rate of the tubular furnace is preset to be 20°C / min. After the temperature in the tubular furnace reaches 700°C, the tubular furnace is used to perform a heat preservation operation on the target preparation sample, and the heat preservation time corresponding to the heat preservation operation is 30 minutes.
2. The method for preparing an oxygen reduction electrocatalyst based on retired batteries according to claim 1, characterized in that: The comprehensive retired battery assessment relationship is as follows: Wherein, z represents the comprehensive evaluation value, α, β, and γ are all preset coefficients, s0 represents the remaining capacity of the extracted retired battery, s1 represents the rated capacity of the extracted retired battery, wherein the remaining capacity and the rated capacity are both related to the type of retired battery, θ represents the resistance of the extracted retired battery, and t0 represents the service life of the extracted retired battery. Indicates the target service life corresponding to the extracted retired batteries.
3. The method for preparing an oxygen reduction electrocatalyst based on retired batteries according to claim 2, characterized in that: The step of obtaining the target service life of the retired battery includes: Obtain a reference life set of retired batteries, wherein the reference life set includes multiple reference lifespans, extract reference lifespans from the reference life set in sequence, and perform the following operations on the extracted reference lifespans: The dispersion value is calculated based on the extracted reference life and the pre-built dispersion relationship, where the dispersion relationship is as follows: Among them, F i represents the ith scattered value, T i represents the i-th reference life, n represents the total number of n reference lifespans in the reference lifespan set, and U p represents the pth reference life in the reference life set; Summarizing the scattered values to obtain a scattered value set, and performing a sorting operation on the scattered values in the scattered value set in order from large to small to obtain a scattered value sequence; A target service life is obtained based on the dispersed numerical sequence.
4. The method for preparing an oxygen reduction electrocatalyst based on retired batteries according to claim 3, characterized in that: The obtaining a target service life based on the dispersed numerical sequence includes: Extract scattered values from the scattered value sequence in sequence, and perform the following operations on the extracted scattered values: Comparing the extracted dispersion value with a preset dispersion threshold, if the dispersion value is greater than or equal to the dispersion threshold, eliminating the reference life corresponding to the dispersion value, and when the number of eliminated dispersion values reaches a preset screening value, summarizing the reference life corresponding to the retained dispersion values to obtain a second reference life set, taking the second reference life set as the reference life set, and returning to the step of calculating the dispersion value based on the extracted reference life and the pre-constructed dispersion relationship; If the extracted scattered value is less than the scattered threshold, the reference life corresponding to the retained scattered value is summarized to obtain a target service life set, and the target service life is obtained using the target service life set, wherein the target service life is the average of multiple target service lives in the target service life set.
5. The method for preparing an oxygen reduction electrocatalyst based on retired batteries according to claim 1, characterized in that: The step of obtaining a discharged battery based on the extracted retired battery comprises: The rated output power of the extracted retired battery is obtained, and a discharge operation is performed on the extracted retired battery based on the rated output power until the extracted retired battery can no longer perform the discharge operation, thereby obtaining a discharged battery.
6. The method for preparing an oxygen reduction electrocatalyst based on retired batteries according to claim 1, characterized in that: The step of obtaining target combination parameters for grinding includes: A parameter set for performing a grinding operation is obtained, wherein the parameter set includes one or more grinding combination parameters, and the grinding combination parameters are as follows: Q j ={P j ,V j ,K j ,t j } Among them, Q j represents the jth grinding combination parameter among one or more grinding combination parameters, P j represents the jth grinding power, V j represents the jth grinding speed, K j represents the jth grinding temperature, t j represents the jth grinding time; Extract grinding combination parameters from the one or more grinding combination parameters in sequence, and perform the following operations on the extracted grinding combination parameters: Inputting the extracted grinding combination parameters into the grinding machine, and obtaining a grinding sample based on the grinding machine after the input grinding combination parameters and a pre-constructed control sample, wherein the composition of the control sample is the same as the composition of the third prepared sample; The target grinding mass is obtained by using the grinding sample, and the grinding mass specific gravity is calculated by using the target grinding mass. The calculation formula is as follows: Where p represents the grinding mass specific gravity, m1 represents the mass of the control sample, and m0 represents the target grinding mass; Comparing the grinding mass ratio with a preset grinding mass threshold, if the grinding mass ratio is greater than or equal to the grinding mass threshold, retaining the grinding combination parameter corresponding to the grinding mass ratio, otherwise eliminating the grinding combination parameter corresponding to the grinding mass ratio; The retained grinding combination parameters are summarized to obtain an initial combination parameter set, and the target combination parameters are obtained based on the initial combination parameter set.
7. The method for preparing an oxygen reduction electrocatalyst based on retired batteries according to claim 6, characterized in that: The acquiring target combination parameters based on the initial combination parameter set includes: Extract grinding combination parameters from the initial combination parameter set in sequence, and perform the following operations on the extracted grinding combination parameters: Obtaining an evaluation index set for evaluating grinding combination parameters, constructing a judgment matrix based on the evaluation index set and the extracted grinding combination parameters, and obtaining a grinding score value using the judgment matrix and a pre-constructed hierarchical analysis method, wherein the scaling method of the hierarchical analysis method is preset to be a 1 to 9 scaling method; The grinding score values are summarized to obtain a grinding score set, and a target combination parameter is obtained based on the grinding score set, wherein the target combination parameter is a grinding combination parameter corresponding to the grinding score value with the largest value in the grinding score set.
8. The method for preparing an oxygen reduction electrocatalyst based on retired batteries according to claim 7, characterized in that: The evaluation index set is composed of efficiency index, energy consumption index and grinding index, wherein the efficiency index includes: the time required for grinding, the energy consumption index includes: the energy consumption required to maintain the grinding temperature and the energy consumption corresponding to the output power of the grinder, and the grinding index includes: the grinding mass specific gravity.
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