Waste lithium battery pack recovery residual value evaluation system and method and storage medium

Abstract

The invention discloses a waste lithium battery pack recovery residual value evaluation system and method and a storage medium, and the system comprises a recovery evaluation platform which is in communication connection with a data evaluation analysis unit, a real object performance detection unit, a recovery residual value evaluation unit and a recovery risk evaluation unit. According to the invention, casual inspection lithium battery packs of a sequential detection object and a recovery casual inspection object are uniformly marked as recovery detection objects, and an object performance detection unit detects the recovery detection objects and collects electric quantity detection data and operation detection data. The recovery detection objects are divided into electric quantity repair objects, resistance repair objects, heat dissipation repair objects and evaluation objects through data analysis and sent to the recovery evaluation platform, recovery repair is carried out according to types, and the evaluation objects and the recovered recovery detection objects are marked as residual value evaluation objects in a unified mode. And the recovery residual value evaluation unit performs residual value evaluation on the residual value evaluation object.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium battery recycling, and in particular to a system, method and storage medium for evaluating the residual value of waste lithium battery packs. Background Art

[0002] With the widespread application of lithium batteries in electric vehicles, energy storage systems and other fields, the amount of waste generated is gradually increasing. Reasonable assessment of the residual value of lithium battery packs is of great significance for resource recycling, environmental protection and economic benefits.

[0003] However, in the prior art, historical usage status analysis cannot be performed during the recycling phase of used lithium battery packs, so that prior screening cannot be performed to reduce the workload of recycling inspections and improve recycling efficiency. In addition, it is also impossible to conduct a full and thorough recycling residual value assessment, resulting in a decrease in the accuracy of the recycling work, that is, it is difficult to conduct prior screening control in conjunction with the recycling phase analysis, and it is impossible to ensure that the screening accuracy at any stage is in the optimal state.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a system, method and storage medium for assessing the residual value of waste lithium battery packs.

[0006] The object of the present invention can be achieved by the following technical solutions: A waste lithium battery pack recycling residual value assessment system, comprising a recycling assessment platform, wherein the recycling assessment platform is communicatively connected with a data assessment and analysis unit, a physical performance detection unit, a recycling residual value assessment unit, and a recycling risk assessment unit; The data evaluation and analysis unit marks the waste lithium battery packs as objects to be recycled, collects usage data, obtains historical usage analysis coefficients through calculation, and divides the objects to be recycled into recycling detection objects and sequential detection objects based on coefficient comparison; The sampled lithium battery packs of the inspection objects and the recycling inspection objects are uniformly marked as the recycling inspection objects. The physical performance inspection unit inspects the recycling inspection objects, collects the power inspection data and operation inspection data, and divides the recycling inspection objects into power repair objects, resistance repair objects, heat dissipation repair objects, and evaluation objects through data analysis, and sends them to the recycling evaluation platform for recycling and repair according to the type; The assessment object and the recovery inspection object that has completed repair are uniformly marked as residual value assessment objects. The recovery residual value assessment unit performs residual value assessment on the residual value assessment object, generates a non-priority recovery signal or a priority recovery signal through assessment analysis, and sends it to the recovery assessment platform; The recycling risk assessment unit conducts risk assessment on the current recycling of waste lithium battery packs and makes recycling decisions based on the risk assessment results.

[0007] As a preferred embodiment of the present invention, the usage data includes the sum of the maximum decrease span increase rate of the storage power ratio of the object to be recycled and the corresponding numerical increase of the current charging duration peak when the storage power ratio reaches full configuration, the power continuous constant duration decrease span of the object to be recycled under an unsuitable environment during historical operation, and the power regulation deviation frequency increase of the object to be recycled under a suitable environment during historical operation.

[0008] As a preferred implementation of the present invention, if the historical usage analysis coefficient of the object to be recycled exceeds the historical usage analysis coefficient threshold, the corresponding object to be recycled will be marked as a recycling sampling object; if the historical usage analysis coefficient of the object to be recycled does not exceed the historical usage analysis coefficient threshold, the corresponding object to be recycled will be marked as a sequential inspection object.

[0009] As a preferred embodiment of the present invention, the power detection data is the reciprocating floating span of the power stored in the recovery detection object corresponding to the reciprocating floating of the charging power in the power-deficient state, and the corresponding value and value of the real-time stored power floating value after the corresponding power floating span is stable; the operation detection data is the numerical ratio of the floating amount of the internal circuit resistance value at the operation time corresponding to the power fluctuation and the temperature floating span of the recovery detection object corresponding to the resistance value fluctuation at different times.

[0010] As a preferred embodiment of the present invention, if the power detection data exceeds the floating value and the threshold, it is marked as a power repair object and sent to the recycling evaluation platform; if the operation detection data exceeds the maximum value of the resistance-temperature ratio threshold range, it is marked as a resistance repair object and sent to the recycling evaluation platform; if the operation detection data does not exceed the minimum value of the resistance-temperature ratio threshold range, it is marked as a heat dissipation repair object and sent to the recycling evaluation platform; if the power detection data does not exceed the floating value and the threshold, and the operation detection data is within the resistance-temperature ratio threshold range, it is marked as an evaluation object.

[0011] As a preferred embodiment of the present invention, the processing process of the recovery residual value assessment unit is as follows: Set the residual value of the residual value assessment object, divide the specifications according to the real-time required capacity of the lithium battery pack, and set the capacity specification of the residual value of the residual value assessment object as the recycling specification, collect the demand-supply ratio information and the processing and recycling information, and generate a non-priority recycling signal if the demand-supply ratio information exceeds the ratio floating span threshold, or the processing and recycling information does not exceed the interval power sum threshold; if the demand-supply ratio information does not exceed the ratio floating span threshold, and the processing and recycling information exceeds the interval power sum threshold, a priority recycling signal is generated.

[0012] As a preferred embodiment of the present invention, the demand-supply ratio information is the floating span of the numerical ratio of the demand and supply of lithium batteries of the current recycling specification of the residual value assessment object; the processing recycling information is the corresponding ratio of the interval power of the recycling specification distance of the residual value assessment object to the minimum critical value of the high specification and the interval power of the distance to the maximum critical value of the low specification.

[0013] As a preferred embodiment of the present invention, the process of recycling the risk assessment unit is as follows: Collect recovery influencing parameters and recovery damage parameters. If the recovery influencing parameters exceed the maximum parameter deviation threshold, or the recovery damage parameters exceed the damage rate rising span threshold, a coefficient control signal is generated; if the recovery influencing parameters do not exceed the maximum parameter deviation threshold, and the recovery damage parameters do not exceed the damage rate rising span threshold, a stable recovery signal is generated; The recycling influencing parameters and recycling damage parameters are respectively the maximum deviation value between the demand parameters of the same type of batteries in the waste lithium battery pack recycling stage and the mean performance parameters after recycling, and the damage rate increase span of the lithium battery pack recycling operation in the waste lithium battery pack recycling stage.

[0014] The present invention also proposes a method for assessing the residual value of waste lithium battery packs, comprising the following steps: Data evaluation and analysis: Mark the waste lithium battery packs as objects to be recycled, collect usage data, obtain historical usage analysis coefficients through calculation, and divide the objects to be recycled into recycling inspection objects and sequential inspection objects based on coefficient comparison; Physical performance testing: The sampled lithium battery packs of the test objects and the recycling test objects are uniformly marked as recycling test objects, and the recycling test objects are tested to collect power test data and operation test data. Through data analysis, the recycling test objects are divided into power repair objects, resistance repair objects, heat dissipation repair objects, and evaluation objects, and sent to the recycling evaluation platform for recycling and repair according to the type; Recycling residual value assessment: The assessment objects and the recovery inspection objects that have completed repair are uniformly marked as residual value assessment objects, and residual value assessment is performed on the residual value assessment objects. A non-priority recovery signal or a priority recovery signal is generated through evaluation and analysis, and sent to the recovery assessment platform; Recycling risk assessment: Conduct risk assessment on the current recycling of waste lithium battery packs and make recycling decisions based on the risk assessment results.

[0015] The present invention also proposes a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned method for assessing the residual value of recycled waste lithium battery packs is implemented.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, data evaluation is performed on waste lithium battery packs, and the historical usage status of the waste lithium battery packs is inferred through data evaluation. The usage trend analysis is performed based on the historical usage status, so that a part of the screening is performed before recycling, which reduces the detection cost of invalid recycled lithium battery packs during the recycling evaluation process, so as to reduce the recycling detection cost and improve the analysis efficiency of the recycling evaluation, so as to improve the recycling progress of the waste lithium battery packs and reduce the detection and evaluation cost of the waste lithium battery packs that need to be scrapped; Carry out physical performance testing on the objects to be recycled, and infer whether the current battery pack performance test of the object to be recycled can be used to ensure the executable efficiency of recycling. By improving the accuracy of physical performance testing, the recycling efficiency of lithium battery packs is guaranteed to avoid abnormal usage efficiency after recycling and processing, which will cause waste of recycling costs.

[0017] 2. In the present invention, the residual value of the evaluation object and the recovery inspection object that has completed the repair is evaluated. Through the evaluation of the residual value of the recovery, it is inferred whether the residual value of the current evaluation object is suitable for the current stage of recovery, so as to avoid the use efficiency after recovery failing to meet the current use demand, thereby reducing the recovery efficiency brought by the lithium battery pack. The lithium battery pack can also be screened for recovery according to the residual value evaluation, and the recovery operation can be accurately performed to ensure the high efficiency of the recovery; Conduct risk assessment on the current recycling of waste lithium battery packs. Through the risk assessment of waste lithium battery recycling, infer whether the current recycling risk affects the recycling efficiency, so as to facilitate recycling regulation according to real-time recycling risk, and recycle waste lithium battery packs with reduced recycling efficiency, thereby indirectly improving the execution efficiency and effectiveness of the recycling operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0019] Figure 1 It is a principle block diagram of the system of the present invention; Figure 2 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0022] Example 1: Please refer to Figure 1 As shown, a waste lithium battery pack recycling residual value assessment system includes a recycling assessment platform, wherein the recycling assessment platform is communicatively connected to a data assessment and analysis unit, a physical performance detection unit, a recycling residual value assessment unit, and a recycling risk assessment unit; The recycling evaluation platform generates a data evaluation and analysis signal and sends the data evaluation and analysis signal to the data evaluation and analysis unit. After receiving the data evaluation and analysis signal, the data evaluation and analysis unit performs data evaluation on the waste lithium battery pack, infers the historical usage status of the waste lithium battery pack through the data evaluation, and performs usage trend analysis based on the historical usage status, so as to perform a part of screening before recycling, thereby reducing the detection cost of invalid recycled lithium battery packs during the recycling evaluation process, so as to reduce the recycling detection cost and improve the analysis efficiency of the recycling evaluation, so as to improve the recycling progress of the waste lithium battery pack and reduce the detection and evaluation cost of the waste lithium battery packs that need to be scrapped; Mark the used lithium battery pack as an object to be recycled; when the operating environment parameters of the object to be recycled are within the rated operating environment range, the current operating environment is indicated as a suitable environment, otherwise it is marked as an unsuitable environment; obtain the sum of the maximum decrease span increase rate of the storage power ratio of the object to be recycled during the historical operation process and the corresponding numerical increase of the current charging duration peak when the storage power ratio reaches full configuration, where the sum of the numerical increase is expressed as the sum of the numerical values ​​of the storage power ratio and the charging duration, without considering the influence of inconsistent units, only the numerical fluctuations of the two data are counted, and the sum of the maximum decrease span increase rate of the storage power ratio of the object to be recycled during the historical operation process and the corresponding numerical increase of the current charging duration peak when the storage power ratio reaches full configuration is marked as SZH; The power of the object to be recycled under the unsuitable environment in the historical operation process is obtained. The power of the object to be recycled under the suitable environment in the historical operation process is obtained. The power of the object to be recycled under the unsuitable environment in the historical operation process is obtained. The power of the object to be recycled under the unsuitable environment in the historical operation process is obtained. The power of the object to be recycled under the suitable ... The above collected data are uniformly marked as usage data, and substituted into the formula to obtain the historical usage analysis coefficient of the object to be recycled, where the formula is: , where FX is the historical usage analysis coefficient, hyt1, hyt2 and hyt3 are the preset proportional coefficients, and α is the error correction factor, which is 1.2; Compare the historical usage analysis coefficient of the object to be recycled with the historical usage analysis coefficient threshold: If the historical usage analysis coefficient of the object to be recycled exceeds the historical usage analysis coefficient threshold, the historical usage high impact of the current object to be recycled is inferred, and the corresponding object to be recycled is marked as a recycling sampling object; If the historical usage analysis coefficient of the object to be recycled does not exceed the historical usage analysis coefficient threshold, it is inferred that the historical usage of the current object to be recycled has a low impact, and the corresponding object to be recycled is marked as a sequential detection object; The recycling inspection object and the sequential inspection objects are sent to the recycling evaluation platform; The recycling assessment platform receives the type of the object to be recycled, generates a physical performance detection signal and sends the physical performance detection signal to the physical performance detection unit. After receiving the physical performance detection signal, the physical performance detection unit performs a physical performance detection on the object to be recycled, and infers whether the current battery pack performance detection of the object to be recycled can be recycled through the physical performance detection, so as to ensure the executable efficiency of recycling. By improving the accuracy of physical performance detection, the recycling efficiency of lithium battery packs is guaranteed, and abnormal use efficiency after recycling is avoided, which causes waste of recycling costs; The sampled lithium battery packs of the inspection objects and the recycling inspection objects are uniformly marked as the recycling inspection objects, and the reciprocating floating span of the storage power in the recycling inspection object corresponding to the reciprocating floating of the charging power in the power-deficient state during the real-time inspection process, and the real-time storage power floating value after the corresponding power floating span is stable are obtained, and the reciprocating floating span of the storage power in the recycling inspection object corresponding to the reciprocating floating of the charging power in the power-deficient state during the real-time inspection process, and the real-time storage power floating value after the corresponding power floating span is stable are summed to obtain the power inspection data; When the full power state is obtained during the real-time detection process, the power consumption fluctuation corresponds to the fluctuation of the internal circuit resistance value at the operating time and the resistance value fluctuation at different times corresponds to the temperature fluctuation span of the recovery detection object. The numerical ratio is obtained according to the resistance value fluctuation and the temperature rise span value and marked as the operation detection data; Compare the power detection data and operation detection data with the floating value and threshold and resistance temperature ratio threshold range respectively: If the power detection data exceeds the floating value and the threshold, it is inferred that the current recycling detection object needs to be recycled and repaired, marked as a power repair object and sent to the recycling evaluation platform; If the running detection data exceeds the maximum value of the resistance-temperature ratio threshold range, it is inferred that the current recycling detection object needs to be repaired, marked as a resistance repair object and sent to the recycling evaluation platform; If the running test data does not exceed the minimum value of the resistance-temperature ratio threshold range, it is inferred that the current recycling test object needs heat dissipation repair, marked as a heat dissipation repair object and sent to the recycling evaluation platform; If the power detection data does not exceed the floating value and the threshold, and the operation detection data is within the resistance temperature ratio threshold range, it is inferred that the performance detection of the current recycling detection object is qualified and marked as an evaluation object; Sending each type of recycling detection object to the recycling evaluation platform; At the same time, a recycling residual value assessment signal is generated and sent to a recycling residual value assessment unit. After receiving the recycling residual value assessment signal, the recycling residual value assessment unit conducts a recycling residual value assessment on the assessment object and the recovery inspection object that has completed the repair. Through the recycling residual value assessment, it is inferred whether the residual value finally recovered by the current assessment object is suitable for recycling at the current stage, so as to avoid the post-recycling use efficiency failing to meet the current use demand, thereby reducing the recycling efficiency brought by the lithium battery pack. The recycling of the lithium battery pack can also be screened according to the residual value assessment, and the recycling operation can be accurately performed to ensure the high efficiency of the recycling; The assessment object and the recovery inspection object that has completed repair are uniformly marked as residual value assessment objects, the storage capacity range of the residual value assessment object detected during the recovery inspection process is obtained, and the average value is calculated according to the critical value of the storage capacity range to obtain the average capacity value, which is set as the residual value of the residual value assessment object; The specifications of lithium battery packs are divided according to the real-time required power capacity, that is, divided into high capacity, medium capacity and small capacity, and the division method is based on the lithium battery manufacturer to set the division threshold according to the current demand and output of lithium batteries; The capacity specification of the residual value of the residual value assessment object is set as the recycling specification, the floating span of the numerical ratio of the demand and supply of lithium batteries of the current recycling specification of the residual value assessment object is obtained, and the floating span of the numerical ratio of the demand and supply of lithium batteries of the current recycling specification of the residual value assessment object is marked as the demand-supply ratio information; At the same time, the interval electricity of the recycling specification distance of the residual value assessment object is obtained compared with the minimum critical value of the high specification, and the interval electricity of the distance is compared with the maximum critical value of the low specification, and the processing recycling information is obtained by calculating the ratio of the deviation value of the interval electricity and the peak value of the interval electricity; The demand-supply ratio information and processing recovery information are compared with the ratio floating span threshold and the interval power sum threshold respectively: If the demand-supply ratio information exceeds the ratio floating span threshold, or the processing recycling information does not exceed the interval power sum threshold, it is determined that the recycling specifications of the residual value assessment object are not suitable, a non-priority recycling signal is generated, and the non-priority recycling signal and the corresponding residual value assessment object are sent to the recycling assessment platform together; If the demand-supply ratio information does not exceed the ratio floating span threshold, and the processing recycling information exceeds the interval power sum threshold, the recycling specification of the residual value assessment object is determined to be adapted, a priority recycling signal is generated, and the priority recycling signal and the corresponding residual value assessment object are sent to the recycling assessment platform together; After receiving the signal, the recycling assessment platform will prioritize the recycling of the residual value assessment object corresponding to the priority recycling signal; and when the recycling demand is met, if the recycling volume is sufficient, the recycling operation of the residual value assessment object of the non-priority recycling signal will not be performed, otherwise, it will be executed; The recycling assessment platform generates a recycling risk assessment signal and sends the recycling risk assessment signal to the recycling risk assessment unit. After receiving the recycling risk assessment signal, the recycling risk assessment unit conducts risk assessment on the current recycling of used lithium battery packs. Through the recycling risk assessment of used lithium batteries, it is inferred whether the current recycling risk affects the recycling efficiency, so as to facilitate recycling regulation according to the real-time recycling risk, and to perform recycling operations on used lithium battery packs with reduced recycling efficiency, thereby indirectly improving the execution efficiency and high efficiency of the recycling operation; The maximum deviation value between the demand parameters of the same type of batteries in the waste lithium battery pack recycling stage and the average performance parameters after recycling is obtained, and the damage rate increase span of the lithium battery pack recycling operation in the waste lithium battery pack recycling stage is obtained, and the maximum deviation value between the demand parameters of the same type of batteries in the waste lithium battery pack recycling stage and the average performance parameters after recycling, and the damage rate increase span of the lithium battery pack recycling operation in the waste lithium battery pack recycling stage are marked as recycling influencing parameters and recycling damage parameters, respectively, and compared with the parameter maximum deviation threshold and the damage rate increase span threshold respectively: Among them, the battery demand parameters are represented by the battery power, power and other parameters required in the battery usage scenario, and the performance parameters are represented by the battery power, power and other parameters that the recycled battery can provide; If the maximum deviation value between the demand parameters of the same type of batteries and the mean value of the performance parameters after recycling during the recycling stage of the used lithium battery pack exceeds the parameter maximum deviation threshold, or the damage rate increase span of the lithium battery pack recycling operation during the recycling stage of the used lithium battery pack exceeds the damage rate increase span threshold, it is inferred that the risk of recycling the used lithium battery pack is in an increasing stage, and a coefficient control signal is generated and sent to the data evaluation and analysis unit. After receiving the coefficient control signal, the data evaluation and analysis unit increases the error correction coefficient, and the increase value is set according to the real-time control amount of the current recycling personnel; If the maximum deviation between the demand parameters of the same type of batteries and the average performance parameters after recycling during the recycling stage of the used lithium battery packs does not exceed the parameter maximum deviation threshold, and the damage rate increase span of the lithium battery pack recycling operation during the recycling stage of the used lithium battery packs does not exceed the damage rate increase span threshold, it is inferred that the risk of recycling used lithium battery packs is in a stable stage, and a stable recycling signal is generated and sent to the recycling evaluation platform; Example 2: Please refer to Figure 2 As shown, this embodiment also proposes a method for assessing the residual value of waste lithium battery packs, including the following steps: Data evaluation and analysis: Mark the waste lithium battery packs as objects to be recycled, collect usage data, obtain historical usage analysis coefficients through calculation, and divide the objects to be recycled into recycling inspection objects and sequential inspection objects based on coefficient comparison; Physical performance testing: The sampled lithium battery packs of the test objects and the recycling test objects are uniformly marked as recycling test objects, and the recycling test objects are tested to collect power test data and operation test data. Through data analysis, the recycling test objects are divided into power repair objects, resistance repair objects, heat dissipation repair objects, and evaluation objects, and sent to the recycling evaluation platform for recycling and repair according to the type; Recycling residual value assessment: The assessment objects and the recovery inspection objects that have completed repair are uniformly marked as residual value assessment objects, and residual value assessment is performed on the residual value assessment objects. A non-priority recovery signal or a priority recovery signal is generated through evaluation and analysis, and sent to the recovery assessment platform; Recycling risk assessment: Conduct risk assessment on the current recycling of waste lithium battery packs and make recycling decisions based on the risk assessment results; Among them, a computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for assessing the residual value of recycled used lithium battery packs is implemented.

[0023] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing related hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods.

[0024] Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory, the non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory, and the volatile memory may include random access memory (RAM) or external cache memory.

[0025] By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0026] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the real value. The coefficients in the formula are set by those skilled in the art according to the actual situation; the preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiment does not describe all the details in detail, nor does it limit the invention to only a specific implementation method. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A waste lithium battery pack recycling residual value assessment system, including a recycling assessment platform, characterized in that: The recycling assessment platform is connected to a data assessment and analysis unit, a physical performance detection unit, a recycling residual value assessment unit, and a recycling risk assessment unit; The data evaluation and analysis unit marks the waste lithium battery packs as objects to be recycled, collects usage data, obtains historical usage analysis coefficients through calculation, and divides the objects to be recycled into recycling detection objects and sequential detection objects based on coefficient comparison; The sampled lithium battery packs of the inspection objects and the recycling inspection objects are uniformly marked as the recycling inspection objects. The physical performance inspection unit inspects the recycling inspection objects, collects the power inspection data and operation inspection data, and divides the recycling inspection objects into power repair objects, resistance repair objects, heat dissipation repair objects, and evaluation objects through data analysis, and sends them to the recycling evaluation platform for recycling and repair according to the type; The assessment object and the recovery inspection object that has completed repair are uniformly marked as residual value assessment objects. The recovery residual value assessment unit performs residual value assessment on the residual value assessment object, generates a non-priority recovery signal or a priority recovery signal through assessment analysis, and sends it to the recovery assessment platform; The recycling risk assessment unit conducts risk assessment on the current recycling of waste lithium battery packs and makes recycling decisions based on the risk assessment results.

2. A waste lithium battery pack recycling residual value assessment system according to claim 1, characterized in that: The usage data includes the sum of the maximum decrease span increase rate of the storage power ratio of the object to be recycled and the corresponding numerical increase of the current charging duration peak when the storage power ratio reaches full capacity, the decrease span of the power continuous constant duration of the object to be recycled under unsuitable environment during historical operation, and the increase in the power adjustment deviation frequency of the object to be recycled under suitable environment during historical operation.

3. A waste lithium battery pack recycling residual value assessment system according to claim 2, characterized in that: If the historical usage analysis coefficient of the object to be recycled exceeds the historical usage analysis coefficient threshold, the corresponding object to be recycled will be marked as a recycling sampling object; if the historical usage analysis coefficient of the object to be recycled does not exceed the historical usage analysis coefficient threshold, the corresponding object to be recycled will be marked as a sequential inspection object.

4. A waste lithium battery pack recycling residual value assessment system according to claim 1, characterized in that: The power detection data is the reciprocating floating span of the power stored in the recovery detection object corresponding to the reciprocating floating of the charging power in the power-deficient state, and the corresponding value and value of the real-time stored power floating value after the power floating span stabilizes; the operation detection data is the numerical ratio of the floating amount of the internal circuit resistance value corresponding to the power fluctuation at the operation time and the temperature floating span of the recovery detection object corresponding to the resistance value fluctuation at different times.

5. A waste lithium battery pack recycling residual value assessment system according to claim 4, characterized in that: If the power detection data exceeds the floating value and threshold, it is marked as a power repair object and sent to the recycling evaluation platform; If the running detection data exceeds the maximum value of the resistance-temperature ratio threshold range, it is marked as a resistor repair object and sent to the recycling evaluation platform; If the running test data does not exceed the minimum value of the resistance-temperature ratio threshold range, it is marked as a heat dissipation repair object and sent to the recycling evaluation platform; If the power detection data does not exceed the floating value and the threshold, and the operation detection data is within the resistance temperature ratio threshold range, it is marked as an evaluation object.

6. A waste lithium battery pack recycling residual value assessment system according to claim 1, characterized in that: The processing of the recovery residual value assessment unit is as follows: Set the residual value of the residual value assessment object, divide the specifications according to the real-time required capacity of the lithium battery pack, and set the capacity specification of the residual value of the residual value assessment object as the recycling specification, collect the demand-supply ratio information and the processing and recycling information, and generate a non-priority recycling signal if the demand-supply ratio information exceeds the ratio floating span threshold, or the processing and recycling information does not exceed the interval power sum threshold; if the demand-supply ratio information does not exceed the ratio floating span threshold, and the processing and recycling information exceeds the interval power sum threshold, a priority recycling signal is generated.

7. A waste lithium battery pack recycling residual value assessment system according to claim 6, characterized in that: The demand-supply ratio information is the floating span of the numerical ratio of the demand and supply of lithium batteries of the current recycling specifications of the residual value assessment object; the processing and recycling information is the corresponding ratio of the interval power of the recycling specifications of the residual value assessment object to the minimum critical value of the high specification and the interval power of the recycling specifications to the maximum critical value of the low specification.

8. The residual value evaluation system for recycling waste lithium battery packs according to claim 1 is characterized in that: The process for recovering risk assessment units is as follows: Collect recovery influencing parameters and recovery damage parameters. If the recovery influencing parameters exceed the maximum parameter deviation threshold, or the recovery damage parameters exceed the damage rate rising span threshold, a coefficient control signal is generated; if the recovery influencing parameters do not exceed the maximum parameter deviation threshold, and the recovery damage parameters do not exceed the damage rate rising span threshold, a stable recovery signal is generated; The recycling influencing parameters and recycling damage parameters are respectively the maximum deviation value between the demand parameters of the same type of batteries in the waste lithium battery pack recycling stage and the mean performance parameters after recycling, and the damage rate increase span of the lithium battery pack recycling operation in the waste lithium battery pack recycling stage.

9. A method for assessing the residual value of recycled waste lithium battery packs, using a system for assessing the residual value of recycled waste lithium battery packs as claimed in any one of claims 1 to 8, characterized in that: The steps include: Data evaluation and analysis: Mark the waste lithium battery packs as objects to be recycled, collect usage data, obtain historical usage analysis coefficients through calculation, and divide the objects to be recycled into recycling inspection objects and sequential inspection objects based on coefficient comparison; Physical performance testing: The sampled lithium battery packs of the test objects and the recycling test objects are uniformly marked as recycling test objects, and the recycling test objects are tested to collect power test data and operation test data. Through data analysis, the recycling test objects are divided into power repair objects, resistance repair objects, heat dissipation repair objects, and evaluation objects, and sent to the recycling evaluation platform for recycling and repair according to the type; Recycling residual value assessment: The assessment objects and the recovery inspection objects that have completed repair are uniformly marked as residual value assessment objects, and residual value assessment is performed on the residual value assessment objects. A non-priority recovery signal or a priority recovery signal is generated through evaluation and analysis, and sent to the recovery assessment platform; Recycling risk assessment: Conduct risk assessment on the current recycling of waste lithium battery packs and make recycling decisions based on the risk assessment results.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, a method for assessing the residual value of recycled used lithium battery packs as described in claim 9 is implemented.

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