Waste lithium battery pack recovery residual value evaluation system

Abstract

The invention discloses a waste lithium battery pack recovery residual value evaluation system, and the system comprises an appearance screening module which is used for scanning to obtain battery pack shell data and electrode connection integrity data, and dividing a lithium battery pack into a complete battery pack and a damaged battery pack; the residual value grading evaluation module constructs a complete battery pack evaluation model, and divides a complete battery pack into a directly reusable battery and a to-be-disassembled complete battery based on a residual value evaluation result; the disassembly scheme generation module evaluates the damaged battery pack and generates a disassembly scheme based on the three-level disassembly decision tree; the material value classification module divides a to-be-disassembled complete battery and a damaged battery pack into batteries with high recovery value and batteries with low recovery value; and the comprehensive residual value evaluation module adds a weight value to the obtained residual value evaluation result to obtain a comprehensive residual value evaluation result. The method has the advantages that efficient and accurate battery recovery and maximum utilization of resources are realized through appearance screening and disassembly scheme generation in combination with material value analysis and market dynamic adjustment.

Description

Technical Field

[0001] The present invention relates to the technology of residual value assessment, and particularly to a recycling residual value assessment system for used lithium battery packs. Background Art

[0002] With the wide application of lithium batteries in fields such as consumer electronics and electric vehicles, the problem of recycling and treating used lithium batteries has gradually attracted great attention from society. The recycling of lithium batteries not only helps with the reuse of resources but also effectively reduces environmental pollution. However, the recycling process of used lithium battery packs involves complex assessment work. In particular, how to scientifically and accurately assess the residual value of the battery packs to determine a reasonable recycling price, the key to this assessment problem lies in the state assessment of the battery packs.

[0003] Currently, the recycling residual value assessment systems on the market lack a multi-dimensional comprehensive assessment mechanism. They often rely only on the appearance judgment of the battery packs or basic voltage and capacity detections, resulting in inaccurate assessment results and ignoring the subtle differences inside the battery packs. Secondly, some systems do not conduct accurate risk analysis on the disassembly schemes of damaged battery packs and lack a comprehensive assessment of electrolyte leakage, pole piece fracture, and diaphragm damage, which may lead to potential safety hazards or incomplete resource recovery during the disassembly process. In addition, many existing systems lack a real-time response mechanism for market dynamics and fail to combine metal market price fluctuations and cost optimization of recycling processes. This makes the assessment results vulnerable to external market fluctuations in actual operations and unable to accurately reflect the comprehensive residual value of the recycled batteries. Finally, some systems on the market also do not fully consider the recycling value of the materials inside the batteries, resulting in insufficiently detailed assessment of high-value batteries and affecting the maximum recovery of resources. Summary of the Invention

[0004] In order to improve the existing system, a recycling residual value assessment system for used lithium battery packs is provided. This method realizes efficient, safe, and accurate battery recycling and maximum utilization of resources through precise appearance screening, residual value assessment, and disassembly scheme generation, combined with material value analysis and market dynamic adjustment.

[0005] To achieve the above object, the technical solution adopted by the present invention is as follows: A recycling residual value assessment system for used lithium battery packs, comprising: An appearance screening module: The appearance screening module is used to scan and obtain the data of the battery pack shell and the integrity data of the electrode connection, and divide the lithium battery packs into complete battery groups and damaged battery groups; A residual value grading assessment module: The residual value grading assessment module constructs a complete battery group assessment model based on the open-circuit voltage fluctuation value, cycle life attenuation rate, and DC internal resistance change coefficient, and divides the complete battery groups into directly reusable batteries and complete batteries to be disassembled based on the residual value assessment results; Disassembly plan generation module: The disassembly plan generation module is used to detect electrolyte leakage, analyze pole piece fracture, and evaluate diaphragm damage for the damaged battery pack, and generate a disassembly plan based on a three-level disassembly decision tree; Material value classification module: The material value classification module is used to analyze the battery cathode material, current collector purity, and electrolyte composition, classify the intact battery to be disassembled and the damaged battery pack into high-recovery-value batteries and low-recovery-value batteries, and conduct salvage value assessment; Comprehensive salvage value assessment module: The comprehensive salvage value assessment module is used to obtain recycling process parameter data and metal price index platform data in real time, attach a weight value to the obtained salvage value assessment result, and obtain the comprehensive salvage value assessment result.

[0006] Preferably, the appearance screening module specifically includes: Shell deformation unit: The shell deformation unit performs an all-round scan along the surface of the battery pack through a high-precision laser three-dimensional scanner, obtains the geometric deformation data of the shell, generates a three-dimensional point cloud model based on the deformation data, calculates the maximum deformation amount, and conducts deformation grading determination; Electrode damage detection unit: The electrode damage detection unit is used to detect the damage condition of the electrode surface, including tab fracture, oxidation corrosion, and welding point detachment; Battery pack classification unit: The battery pack classification unit constructs a decision matrix based on the detection results of the shell and the electrode, attaches a weight coefficient according to the shell deformation, and classifies it as a damaged battery pack if any damage occurs to the electrode. Based on the decision matrix, the used lithium battery packs are classified into intact battery packs and damaged battery packs.

[0007] Preferably, the salvage value grading assessment module specifically includes: Open-circuit voltage fluctuation value unit: The open-circuit voltage fluctuation value unit is used to perform standardized static treatment on the intact battery pack, measure the open-circuit voltage of each single battery through a high-precision voltmeter, and obtain the open-circuit voltage fluctuation value; Cycle life attenuation rate unit: The cycle life attenuation rate unit obtains the factory cycle times and the current actual cycle times based on the battery traceability database, obtains the comparison of the current actual capacity with the initial capacity through constant current charge and discharge tests, and obtains the cycle life attenuation rate; DC internal resistance change coefficient unit: The DC internal resistance change coefficient unit is used to record the voltage and current by applying a discharge pulse, calculate the internal resistance, and calculate the change rate by comparing with the factory internal resistance to obtain the DC internal resistance change coefficient; Salvage value assessment result unit: The salvage value assessment result unit sets dynamic weights based on the sensitivity of the above three parameters, constructs an intact battery pack assessment model, and inputs the data of each battery pack in the intact battery pack into the intact battery pack assessment model to obtain the salvage value assessment results of each battery pack; Battery pack classification unit: Based on the residual value assessment results, the battery pack classification unit divides the battery packs in the complete battery pack into directly reusable batteries and intact batteries to be disassembled.

[0008] Preferably, the disassembly plan generation module specifically includes: Electrolyte leakage detection unit: The electrolyte leakage detection unit is used to quantitatively analyze the electrolyte components through a sensor array, identify the leakage area in combination with the temperature difference distribution, perform an airtightness test on the aluminum-plastic film encapsulated battery, and determine low-risk and high-risk leaks based on the leakage situation; Pole piece fracture analysis unit: The pole piece fracture analysis unit is used to reconstruct the three-dimensional model of the electrode through tomography, identify the fracture, fold, and active material shedding areas, and identify and determine the fracture types, including mechanical fractures and corrosive fractures; Separator damage assessment unit: The separator damage assessment unit is used to measure the dielectric constant of the separator through an LCR meter and compare it with the new separator reference value to judge the damage situation of the separator; Three-level disassembly decision tree unit: The three-level disassembly decision tree unit generates a three-level disassembly decision tree based on the above three units, directly triggers a cryogenic freezing disassembly plan based on the high-risk leakage situation, selects a mechanical crushing priority plan based on the fracture area ratio, and switches to a high-temperature pyrolysis plan based on the separator failure situation; Plan adjustment and emergency plan unit: The plan adjustment and emergency plan unit dynamically adjusts the disassembly plan based on the actual data of each battery pack, and immediately stops disassembly and activates the emergency plan based on the emergency handling trigger conditions.

[0009] Preferably, the material value classification module specifically includes: Positive electrode material evaluation unit: The positive electrode material evaluation unit scans the positive electrode of the battery to obtain the intensity ratio of the characteristic spectral lines of each element, and identifies and classifies the positive electrode material; Current collector purity parameter unit: The current collector purity parameter unit measures the conductivity of the aluminum foil through an eddy current sensor to obtain the current collector purity parameter; Electrolyte recovery value unit: The electrolyte recovery value unit quantitatively detects the volume ratio of each component of the electrolyte through a gas chromatography-mass spectrometry instrument to judge the electrolyte recovery value; Battery classification unit: The battery classification unit grades the material value of each battery pack based on the above three parameters, divides the intact batteries to be disassembled and damaged battery packs into high-recovery-value batteries and low-recovery-value batteries, adds allocation weights to the above three parameters, and performs residual value assessment based on each divided battery.

[0010] Preferably, the comprehensive residual value assessment module specifically includes: Recycling process parameter data unit: The recycling process parameter data unit is used to obtain the key parameters of the current process chain, and calculate the process cost weight based on the balance relationship between energy consumption and recycling efficiency; Metal price index unit: The metal price index unit is used to synchronize the market metal price and calculate the market metal price weight; Weight adjustment unit: The weight adjustment unit is used to perform Bayesian optimization once periodically, correct the distribution ratio of the process cost weight and the market metal price weight according to the verification result of historical data, and ensure the residual value evaluation error rate; Comprehensive residual value unit: The comprehensive residual value unit is used to calculate and obtain the comprehensive residual value based on the residual value evaluation results and weight distribution of each classification type of battery pack.

[0011] Furthermore, the present invention provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to drive a waste lithium battery pack recycling residual value evaluation system as described above to operate.

[0012] Furthermore, the present invention provides a computer-readable storage medium storing computer-readable instructions, and when the computer-readable instructions are executed by a processor, they drive a waste lithium battery pack recycling residual value evaluation system as described above to operate.

[0013] Compared with the prior art, the advantages of the present invention are as follows: The integrity of the battery pack is accurately identified by the appearance screening module, ensuring that only complete battery packs are deeply evaluated, and avoiding waste of invalid resources. Secondly, the residual value grading evaluation module comprehensively considers multiple key parameters (such as open circuit voltage fluctuation, cycle life attenuation rate, DC internal resistance change coefficient), and accurately calculates the residual value of the battery pack using the dynamic weight algorithm, providing a scientific basis for subsequent recycling decisions. The disassembly plan generation module adopts high-precision detection means for damaged battery packs, evaluates electrolyte leakage, pole piece fracture and diaphragm damage in real time, and formulates a reasonable disassembly strategy according to the risk level, improving the safety and efficiency of recycling. In addition, the material value classification module classifies the battery packs into two categories of high recycling value and low recycling value through a comprehensive evaluation of the cathode material, collector purity and electrolyte recycling value, further optimizing the utilization of recycling resources. The comprehensive residual value evaluation module dynamically adjusts the weight in combination with process parameters and the metal market price, ensuring the timeliness and accuracy of the evaluation results, thereby maximizing the economic value and resource recycling rate of waste lithium battery packs. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the system proposed by the present invention; Figure 2 This is the diagram of the appearance screening module proposed by the present invention; Figure 3 This is the diagram of the residual value grading and evaluation module proposed by the present invention; Figure 4 This is the diagram of the disassembly plan generation module proposed by the present invention; Figure 5 This is the diagram of the material value classification module proposed by the present invention; Figure 6 This is the diagram of the comprehensive residual value evaluation module proposed by the present invention; Figure 7 This is the architecture diagram of the electronic device in this solution; Figure 8 This is the schematic diagram of the structure of the computer-readable storage medium in this solution. Detailed implementation manners

[0015] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and those skilled in the art can think of other obvious variations.

[0016] Refer to Figure 1 As shown, a waste lithium battery pack recycling residual value evaluation system includes: Appearance screening module: The appearance screening module is used to scan and obtain the data of the battery pack shell and the integrity data of the electrode connection, and divide the lithium battery pack into a complete battery group and a damaged battery group; Residual value grading and evaluation module: The residual value grading and evaluation module constructs a complete battery group evaluation model based on the open circuit voltage fluctuation value, the cycle life attenuation rate, and the DC internal resistance change coefficient, and divides the complete battery group into directly reusable batteries and complete batteries to be disassembled based on the residual value evaluation result; Disassembly plan generation module: The disassembly plan generation module is used to detect the electrolyte leakage, analyze the pole piece fracture, and evaluate the diaphragm damage of the damaged battery group, and generate a disassembly plan based on the three-level disassembly decision tree; Material value classification module: The material value classification module is used to analyze the battery cathode material, the purity of the current collector, and the electrolyte composition, divide the complete batteries to be disassembled and the damaged battery groups into high-recovery-value batteries and low-recovery-value batteries, and conduct a residual value evaluation; Comprehensive residual value evaluation module: The comprehensive residual value evaluation module is used to obtain the recycling process parameter data and the metal price index platform data in real time, attach a weight value to the obtained residual value evaluation result, and obtain the comprehensive residual value evaluation result.

[0017] Refer to Figure 2 As shown, the appearance screening module specifically includes: Housing deformation variable unit: The housing deformation variable unit performs an omni-directional scan along the surface of the battery pack through a high-precision laser 3D scanner to obtain geometric deformation data of the housing, generates a 3D point cloud model based on the deformation data, calculates the maximum deformation amount, and performs deformation grading determination; Electrode damage detection unit: The electrode damage detection unit is used to detect the damage condition of the electrode surface, including tab fracture, oxidation corrosion, and welding point detachment; Battery pack classification unit: The battery pack classification unit constructs a judgment matrix based on the detection results of the housing and the electrode. According to the additional weight coefficient of the housing deformation, if any damage occurs to the electrode, it is classified as a damaged battery pack. Based on the judgment matrix, the used lithium battery packs are divided into intact battery packs and damaged battery packs.

[0018] Specifically, use a high-precision laser 3D scanner to perform an omni-directional scan on the surface of the battery pack to obtain geometric deformation data of the housing, generate a point cloud data set, calculate the distance from each scan point to the original model, and obtain the maximum deformation amount; Use a high-resolution industrial camera to take an image of the electrode surface, calculate the proportion of the length of the tab fracture notch. If it is greater than 5%, it is determined as fractured; during oxidation corrosion detection, analyze the color histogram and calculate the proportion of the corrosion area. If it is greater than 10%, it is determined as corroded; perform welding point detachment detection through the SIFT feature matching algorithm. If the matching degree is less than 70%, it is determined as detached; If any of the above situations occur, the electrode state is determined as damaged; According to the housing deformation level and the electrode damage flag, construct a judgment matrix, according to the additional weight coefficient of the housing deformation, and based on the judgment matrix, divide the used lithium battery packs into intact battery packs and damaged battery packs.

[0019] Refer to Figure 3 As shown, the residual value grading evaluation module specifically includes: Open-circuit voltage fluctuation value unit: The open-circuit voltage fluctuation value unit is used to perform a standardized static treatment on the intact battery pack, measure the open-circuit voltage of each single battery through a high-precision voltmeter, and obtain the open-circuit voltage fluctuation value; Cycle life attenuation rate unit: The cycle life attenuation rate unit obtains the factory cycle times and the current actual cycle times based on the battery traceability database, obtains the cycle life attenuation rate by comparing the current actual capacity with the initial capacity through a constant current charge and discharge test; DC internal resistance change coefficient unit: The DC internal resistance change coefficient unit is used to record the voltage and current by applying a discharge pulse, calculate the internal resistance, and compare the change rate with the factory internal resistance to obtain the DC internal resistance change coefficient; Residual value evaluation result unit: The residual value evaluation result unit sets dynamic weights based on the sensitivities of the above three parameters, constructs a complete battery pack evaluation model, and inputs the data of each battery pack in the complete battery pack into the complete battery pack evaluation model to obtain the residual value evaluation results of each battery pack; Battery pack classification unit: The battery pack classification unit divides the battery packs in the complete battery pack into directly reusable batteries and complete batteries to be disassembled based on the residual value evaluation results.

[0020] Specifically, when detecting the open-circuit voltage fluctuation value, the complete battery pack is left standing in a constant-temperature environment for 24 hours to eliminate the polarization effect, ensure that the battery is in an open-circuit state, use a high-precision voltmeter to measure the open-circuit voltage of each single battery, collect n groups of data, and obtain a voltage sequence. ; Among them, is the voltage sequence, is the measured value of the open-circuit voltage of the k-th single battery, and n is the total number of measured single batteries; Calculate the standard deviation of the open-circuit voltage as the fluctuation value. The formula is: ; ; Among them, is the standard deviation of the open-circuit voltage, n is the total number of measurements, is the measured value of the open-circuit voltage of the k-th single battery, is the average value of all measured values. If , it is determined that the voltage is unstable; Extract the factory cycle number and the current actual cycle number from the battery traceability database, test the current actual capacity by the constant current charge and discharge method, compare it with the factory initial capacity, calculate the capacity attenuation rate and the cycle number attenuation rate, and assign weights to calculate the comprehensive attenuation rate. The formula is: ; ; ; Among them, is the current actual capacity, is the factory initial capacity, is the capacity attenuation rate, is the current actual cycle number, is the factory cycle number, is the cycle number attenuation rate, , are the weight coefficients, is the comprehensive attenuation rate. If , it is determined that the life has significantly decayed; Apply a short - time discharge pulse to the battery, record the voltage difference and current before and after the pulse, calculate the DC internal resistance, compare it with the internal resistance at the time of factory shipment, and calculate the change coefficient; Normalize the above - mentioned parameters, adjust the weights according to the parameter sensitivity, and calculate the residual value score; Based on the residual value score results, divide the battery packs in the complete battery pack into directly reusable batteries and complete batteries to be disassembled.

[0021] Refer to Figure 4 As shown, the disassembly plan generation module specifically includes: Electrolyte leakage detection unit: The electrolyte leakage detection unit is used to quantitatively analyze the electrolyte components through a sensor array, identify the leakage area by combining the temperature difference distribution, perform an airtightness test on the aluminum - plastic film - encapsulated battery, and determine low - risk and high - risk leaks based on the leakage situation; Pole piece fracture analysis unit: The pole piece fracture analysis unit is used to reconstruct the three - dimensional model of the electrode through tomography, identify the fracture, fold, and active material shedding areas, and identify and determine the fracture types, including mechanical fractures and corrosive fractures; Separator damage assessment unit: The separator damage assessment unit is used to measure the dielectric constant of the separator through an LCR meter, compare it with the new separator reference value, and judge the damage situation of the separator; Three - level disassembly decision tree unit: The three - level disassembly decision tree unit generates a three - level disassembly decision tree based on the above three units. Based on the high - risk leakage situation, directly trigger the cryogenic freezing disassembly plan. Based on the proportion of the fracture area, select the mechanical crushing priority plan. Based on the separator failure situation, switch to the high - temperature pyrolysis plan; Plan adjustment and emergency response unit: The plan adjustment and emergency response unit dynamically adjusts the disassembly plan based on the actual data of each battery pack, and immediately stops the disassembly and activates the emergency response plan based on the emergency handling trigger conditions.

[0022] Specifically, use an electrochemical sensor to detect the concentration of specific components in the leaked electrolyte, obtain the surface temperature distribution of the battery through an infrared thermal imager, calculate the standard deviation of the temperature difference, and determine the area with abnormal temperature rise; During the airtightness test of the aluminum - plastic film, place the battery in a closed cavity, evacuate to - 50 kPa - 50 kPa, and record the pressure difference change rate; Obtain the electrode tomography image through X - ray tomography, reconstruct the three - dimensional model, and determine the fracture type. For mechanical fractures, calculate the aspect ratio of the fracture area. If the aspect ratio is greater than 5, it is determined to be caused by mechanical stress. For corrosive fractures, analyze the gray - value distribution at the fracture edge. If there are corrosion characteristics, such as a gray - scale gradient less than 50, it is determined to be caused by chemical corrosion; During the evaluation of diaphragm damage, the LCR meter is used for testing. The dielectric constant of the diaphragm is measured at a frequency of 1 kHz, and the change rate of the dielectric constant is calculated by comparing it with the reference value of the new diaphragm. The formula is as follows: ; Wherein, is the dielectric constant of the diaphragm, is the reference value of the new diaphragm, is the change rate of the dielectric constant; The three-level disassembly decision tree includes: The first-level decision (high-risk leakage): Trigger cryogenic freezing disassembly; The second-level decision (pole piece fracture): Select the mechanical crushing priority plan; The third-level decision (diaphragm failure): Switch to the high-temperature pyrolysis plan; If the electrolyte leakage concentration is greater than the threshold, the temperature in the disassembly chamber is greater than the threshold, and the mechanical vibration amplitude is greater than the threshold, the condition is immediately stopped, and inert gas injection is started to forcibly cool down and isolate the faulty battery pack.

[0023] Refer to Figure 5 As shown, the material value classification module specifically includes: Positive electrode material evaluation unit: The positive electrode material evaluation unit identifies and classifies the positive electrode material by scanning the positive electrode of the battery and obtaining the intensity ratio of the characteristic spectral lines of each element; Current collector purity parameter unit: The current collector purity parameter unit measures the conductivity of the aluminum foil through an eddy current sensor to obtain the current collector purity parameter; Electrolyte recovery value unit: The electrolyte recovery value unit quantitatively detects the volume ratio of each component of the electrolyte through a gas chromatography-mass spectrometry instrument to judge the electrolyte recovery value; Battery classification unit: The battery classification unit grades the material value of each battery pack based on the above three parameters, divides the complete batteries to be disassembled and the damaged battery packs into high-recovery-value batteries and low-recovery-value batteries, and assigns weights to the above three parameters. Based on the divided batteries, the residual value is evaluated.

[0024] Specifically, scan the positive electrode sheet to obtain the intensity of the characteristic spectral lines of the elements, calculate the element molar ratio, and classify the positive electrode material; Measure the conductivity of the aluminum foil, compare it with the theoretical conductivity of pure aluminum, calculate the purity parameter, and perform purity grading; Detect the volume percentages of LiPF6, solvent and additives to quantify the components of the electrolyte; Based on the market values of the above three parameter materials, dynamic weight distribution is carried out, the residual value score is calculated and classified, and the complete batteries to be disassembled and the damaged battery packs are divided into high-recovery-value batteries and low-recovery-value batteries.

[0025] Refer to Figure 6 As shown, the comprehensive residual value evaluation module specifically includes: Recovery process parameter data unit: The recovery process parameter data unit is used to obtain the key parameters of the current process chain and calculate the process cost weight based on the balance relationship between energy consumption and recovery efficiency; Metal price index unit: The metal price index unit is used to synchronize the market metal price and calculate the market metal price weight; Weight adjustment unit: The weight adjustment unit is used to perform Bayesian optimization once periodically, correct the distribution ratio of the process cost weight and the market metal price weight according to the historical data verification result, and ensure the residual value evaluation error rate; Comprehensive residual value unit: The comprehensive residual value unit is used to calculate and obtain the comprehensive residual value based on the residual value evaluation results and weight distribution of each classification type of battery pack.

[0026] Specifically, key parameters of the process chain are defined and a cost normalization model is constructed. The formula is: ; Among them, is the comprehensive process cost coefficient, is the unit energy consumption collected in real time, is the real-time metal recovery rate, is the real-time processing time, = 10 kWh / kg, which is the maximum allowable value of the unit energy consumption, = 95%, which is the theoretical maximum metal recovery rate, = 5 h / kg, which is the upper threshold of the processing time, , , are weight coefficients; The formula for the process cost weight is: ; Among them, is the process cost weight, is the comprehensive process cost coefficient; Obtain the real-time market metal price and obtain the metal price index; Through Bayesian optimization, continuously iterate and optimize the process cost weight and the market metal price weight. Based on the residual value evaluation results and weight distribution of each classification type of battery pack, calculate and obtain the comprehensive residual value, and divide it into three levels of battery residual value grades: high quality, medium quality, and low quality.

[0027] Furthermore, the method according to the embodiment of the present application can also be implemented with the aid of Figure 7 the architecture of the electronic device shown. As Figure 7As shown, the electronic device 500 may include a bus 501, one or more CPUs 502, a read-only memory (ROM) 503, a random access memory (RAM) 504, a communication port 505 connected to a network, an input / output component 506, a hard disk 507, etc. The storage device in the electronic device 500, such as the ROM 503 or the hard disk 507, may store the driver of a waste lithium battery pack recycling residual value evaluation system provided in this application. The electronic device 500 may also include a user interface 508. Of course, Figure 7 The architecture shown is only exemplary. When implementing different devices, one or more components in the Figure 7 shown electronic device may be omitted according to actual needs.

[0028] Figure 8 It is a schematic structural diagram of a computer-readable storage medium provided by an embodiment of this application. As Figure 8 shown, it is a computer-readable storage medium 600 according to an embodiment of this application. Computer-readable instructions are stored on the computer-readable storage medium 600. When the computer-readable instructions are run by a processor, a driving method of a waste lithium battery pack recycling residual value evaluation system according to an embodiment of this application described with reference to the above drawings can be executed. The storage medium 600 includes but is not limited to, for example, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and cache, etc. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.

[0029] It should be noted that: the above sequence of embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. And the above specific embodiments of this specification have been described. In addition, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0030] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments.

[0031] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A recycling residual value evaluation system for waste lithium battery packs, characterized in that, Including: Appearance screening module: The appearance screening module is used to scan and obtain the data of the battery pack shell and the integrity data of the electrode connection, and divide the lithium battery pack into a complete battery group and a damaged battery group; Residual value grading and evaluation module: The residual value grading and evaluation module constructs a complete battery group evaluation model based on the open-circuit voltage fluctuation value, the cycle life attenuation rate, and the DC internal resistance change coefficient, and divides the complete battery group into directly reusable batteries and complete batteries to be disassembled based on the residual value evaluation result; Disassembly plan generation module: The disassembly plan generation module is used to detect electrolyte leakage, analyze pole piece fracture, and evaluate diaphragm damage for the damaged battery group, and generate a disassembly plan based on a three-level disassembly decision tree; Material value classification module: The material value classification module is used to analyze the battery cathode material, the purity of the current collector, and the electrolyte composition, divide the complete batteries to be disassembled and the damaged battery group into high-recovery-value batteries and low-recovery-value batteries, and conduct residual value evaluation; Comprehensive residual value evaluation module: The comprehensive residual value evaluation module is used to obtain the recycling process parameter data and the metal price index platform data in real time, attach a weight value to the obtained residual value evaluation result, and obtain the comprehensive residual value evaluation result.

2. The recycling residual value evaluation system for waste lithium battery packs according to claim 1, wherein The appearance screening module specifically includes: Shell deformation amount unit: The shell deformation amount unit performs an all-round scan along the surface of the battery pack through a high-precision laser three-dimensional scanner, obtains the geometric deformation data of the shell, generates a three-dimensional point cloud model based on the deformation data, calculates the maximum deformation amount, and conducts deformation grading determination; Electrode damage detection unit: The electrode damage detection unit is used to detect the damage condition of the electrode surface, including tab fracture, oxidation corrosion, and welding point detachment; Battery pack classification unit: The battery pack classification unit constructs a determination matrix based on the detection results of the shell and the electrode, adds a weight coefficient according to the shell deformation, and classifies it as a damaged battery group if any damage occurs to the electrode. Based on the determination matrix, the used lithium battery pack is divided into a complete battery group and a damaged battery group.

3. The recycling residual value evaluation system for waste lithium battery packs according to claim 1, characterized in that The residual value grading and evaluation module specifically includes: Open-circuit voltage fluctuation value unit: The open-circuit voltage fluctuation value unit is used to perform a standardized static treatment on the complete battery group, measure the open-circuit voltage of each single battery through a high-precision voltmeter, and obtain the open-circuit voltage fluctuation value; Cycle life attenuation rate unit: The cycle life attenuation rate unit obtains the factory cycle times and the current actual cycle times based on the battery traceability database, obtains the comparison between the current actual capacity and the initial capacity through a constant current charge and discharge test, and obtains the cycle life attenuation rate; DC internal resistance change coefficient unit: The DC internal resistance change coefficient unit is used to record the voltage and current by applying a discharge pulse, calculate the internal resistance, and compare the change rate with the factory internal resistance to obtain the DC internal resistance change coefficient; Residual value evaluation result unit: The residual value evaluation result unit sets dynamic weights based on the sensitivity of the above three parameters, constructs a complete battery group evaluation model, and inputs the data of each battery pack in the complete battery group into the complete battery group evaluation model to obtain the residual value evaluation result of each battery pack; Battery pack classification unit: Based on the residual value assessment results, the battery pack classification unit divides the battery packs in the complete battery pack into directly reusable batteries and intact batteries to be disassembled.

4. A waste lithium battery pack recycling residual value evaluation system according to claim 1, wherein, The disassembly plan generation module specifically includes: Electrolyte leakage detection unit: The electrolyte leakage detection unit is used to quantitatively analyze the electrolyte components through a sensor array, identify the leakage area in combination with the temperature difference distribution, perform an airtightness test on the aluminum-plastic film encapsulated battery, and determine low-risk and high-risk leaks based on the leakage situation; Pole piece fracture analysis unit: The pole piece fracture analysis unit is used to reconstruct the three-dimensional model of the electrode through tomographic scanning, identify the fracture, wrinkling, and active material shedding areas, and identify and determine the fracture types, including mechanical fractures and corrosive fractures; Separator damage assessment unit: The separator damage assessment unit is used to measure the dielectric constant of the separator through an LCR meter and compare it with the reference value of a new separator to judge the damage situation of the separator; Three-level disassembly decision tree unit: The three-level disassembly decision tree unit generates a three-level disassembly decision tree based on the above three units, directly triggers a cryogenic freezing disassembly plan based on the high-risk leakage situation, selects a mechanical crushing priority plan based on the fracture area ratio, and switches to a high-temperature pyrolysis plan based on the separator failure situation; Plan adjustment and emergency response unit: The plan adjustment and emergency response unit dynamically adjusts the disassembly plan based on the actual data of each battery pack, and immediately stops the disassembly and starts the emergency response plan based on the emergency handling trigger conditions.

5. The recycling residual value evaluation system for waste lithium battery packs according to claim 1, characterized in that The material value classification module specifically includes: Positive electrode material evaluation unit: The positive electrode material evaluation unit scans the positive electrode of the battery to obtain the intensity ratio of the characteristic spectral lines of each element, and identifies and classifies the positive electrode material; Current collector purity parameter unit: The current collector purity parameter unit measures the conductivity of the aluminum foil through an eddy current sensor to obtain the current collector purity parameter; Electrolyte recovery value unit: The electrolyte recovery value unit quantitatively detects the volume ratio of each component of the electrolyte through a gas chromatography-mass spectrometry instrument to judge the electrolyte recovery value; Battery classification unit: The battery classification unit grades the material value of each battery pack based on the above three parameters, divides the intact batteries to be disassembled and the damaged battery packs into high-recovery-value batteries and low-recovery-value batteries, adds distribution weights to the above three parameters, and performs residual value assessment based on each battery after division.

6. The recycling residual value evaluation system for waste lithium battery packs according to claim 1, wherein The comprehensive residual value assessment module specifically includes: Recovery process parameter data unit: The recovery process parameter data unit is used to obtain the key parameters of the current process chain and calculate the process cost weight based on the balance relationship between energy consumption and recovery efficiency; Metal price index unit: The metal price index unit is used to synchronize the market metal prices and calculate the market metal price weight; Weight adjustment unit: The weight adjustment unit is used to perform Bayesian optimization once periodically, correct the distribution ratio of the process cost weight and the market metal price weight according to the verification results of historical data, and ensure the residual value assessment error rate; Comprehensive residual value unit: The comprehensive residual value unit is used to calculate and obtain the comprehensive residual value based on the residual value assessment results and weight distribution of each classified type of battery pack.

7. An electronic device, characterized in that, Includes: At least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to drive a waste lithium battery pack recycling residual value evaluation system according to any one of claims 1-6 to operate.

8. A computer-readable storage medium storing computer-readable instructions, characterized in that, When the computer-readable instructions are executed by a processor, they drive a waste lithium battery pack recycling residual value evaluation system according to any one of claims 1-6 to operate.

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