Management Method and Management Platform for Recycling of Power Batteries

Abstract

The present invention discloses a management method and platform for power battery recycling. The management platform is used to execute the management method. The present invention can determine the number of comprehensive utilization standard packages, the number of recycled standard packages, and the number of cascade utilization standard packages based on the attribute information of target vehicles within a target area. Furthermore, based on the number of comprehensive utilization standard packages, the number of recycled standard packages, and the number of cascade utilization standard packages, the expected number of power battery recycling standard packages in the target area can be further determined. This facilitates efficient production capacity forecasting for battery recycling in a specific area.

Description

Technical Field

[0001] The present invention relates to the technical field of power battery recycling, and in particular to a management method and a management platform for power battery recycling. Background Art

[0002] In order to keep up with market development, companies often need to plan the production capacity of a certain region in advance (for example, planning development projects in advance, making corresponding resource allocations for projects, etc.). In particular, in the field of battery recycling and processing, battery recycling and processing companies need to use the manually counted battery scrapping volume in a certain region as basic data, and after a series of data analysis, make corresponding production capacity planning. Practice has found that this requires relevant personnel to conduct statistics on the number of power batteries currently on the market, such as using a questionnaire survey. Furthermore, it is necessary to conduct mathematical analysis of the statistical results to predict various aspects involved in capacity planning, such as the predicted resource input of the battery recycling and processing production line.

[0003] However, the production capacity forecasting conducted in the above manner consumes a lot of time and manpower costs, and due to the influence of human factors, the accuracy of the estimated results is questionable.

[0004] It can be seen that how to efficiently predict the production capacity of battery recycling in a certain region is a technical problem that needs to be solved urgently. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a management method and a management platform for power battery recycling, which are conducive to efficiently making production capacity predictions for battery recycling in a certain area.

[0006] To solve the above technical problems, the present invention discloses, in a first aspect, a management method for power battery recycling. The management method is applied to a management system for power battery recycling within a target area. The management system includes target vehicles and a management platform for implementing data exchange. The target vehicles are power battery-powered vehicles within the target area. The management method includes:

[0007] The management platform obtains attribute information of the target vehicle at the information collection point within the target area;

[0008] The management platform determines the number of comprehensive utilization standard packages of power batteries in the target area based on the attribute information;

[0009] The management platform determines the number of standard recycling packages for power batteries in the target area based on the attribute information;

[0010] The management platform determines the number of standard packages for second-life utilization of power batteries in the target area based on the attribute information;

[0011] The management platform determines the expected number of recycling standard packages for power batteries in the target area based on the number of comprehensive utilization standard packages, the number of recycled utilization standard packages, and the number of cascade utilization standard packages.

[0012] It can be seen that in the management method for power battery recycling disclosed in the first aspect of the present invention, the management platform can determine the number of comprehensive utilization standard packages, the number of recycled utilization standard packages and the number of cascade utilization standard packages based on the target vehicle attribute information within the target area, and further determine the expected number of recycling standard packages for power batteries in the target area based on the number of comprehensive utilization standard packages, the number of recycled utilization standard packages and the number of cascade utilization standard packages, so as to reduce the time and manpower costs consumed in the production capacity forecast process for power battery recycling in the target area. In addition, the process is implemented on the management platform, which reduces the influence of human factors, which is conducive to the efficient forecast of the production capacity for battery recycling in the target area, thereby facilitating the efficient realization of its production capacity planning, and further facilitating the optimization of resource allocation.

[0013] As an optional embodiment, in the first aspect of the present invention, the management platform determines the number of comprehensive utilization standard packages of power batteries in the target area based on the attribute information, specifically including:

[0014] The management platform predicts the amount of retired power batteries in the target area in a certain year and the amount of scrapped process materials in the corresponding production process based on the attribute information;

[0015] The management platform determines the number of comprehensive utilization standard packages in the target area according to the retired power battery quantity and the scrapped power battery quantity.

[0016] As an optional embodiment, in the first aspect of the present invention, the management platform determines the number of standard recycling packages for power batteries in the target area based on the attribute information, specifically including:

[0017] The management platform predicts the recycled utilization amount of power batteries in the target area in a certain year based on the attribute information;

[0018] The management platform determines the number of standard recycling packages for power batteries in the target area based on the recycled amount and the scrapped amount.

[0019] As an optional embodiment, in the first aspect of the present invention, the management platform determines the number of standard packages for second-life utilization of power batteries in the target area based on the attribute information, specifically including:

[0020] The management platform predicts the amount of retired power batteries in the target area based on the attribute information;

[0021] The management platform determines the number of standard recycling packages for power batteries in the target region based on the retired power battery volume and the corresponding recycling rate. As an optional embodiment, in the first aspect of the present invention, the retired power battery volume is obtained by the management platform based on the on-vehicle retired power battery volume and the maintenance retired power battery volume determined based on the Stanford model according to the attribute information.

[0022] As an optional embodiment, in the first aspect of the present invention, the management system further includes a first communication device provided at an information collection point, and the management platform obtains attribute information of the target vehicle at the information collection point within the target area, specifically including:

[0023] The management platform obtains attribute information of the target vehicle sent by a first communication device at an information collection point within the target area, wherein the attribute information is obtained from the target vehicle when the first communication device is in communication with the target vehicle.

[0024] As an optional embodiment, in the first aspect of the present invention, the first communication device is an electronic tag reading and writing antenna, the target vehicle is provided with an electronic tag for writing attribute information, and the electronic tag reading and writing antenna reads the electronic tag of the target vehicle entering its signal coverage range to obtain the attribute information of the target vehicle.

[0025] A second aspect of the present invention discloses a management platform, which is provided in a management system for power battery recycling within a target area. The management system also includes target vehicles that interact with the management platform for data exchange. The target vehicles are power battery-driven vehicles within the target area. The management platform includes an acquisition module and a determination module.

[0026] The acquisition module is used to acquire the attribute information of the target vehicle at the information collection point within the target area.

[0027] The determining module is used to determine the number of comprehensive utilization standard packages of power batteries in the target area based on the attribute information.

[0028] The determination module is further configured to determine the number of standard recycling packages for power batteries in the target area based on the attribute information.

[0029] The determining module is further configured to determine the number of standard packages for secondary utilization of power batteries in the target area based on the attribute information.

[0030] The determination module is further configured to determine the expected number of standard recycling packages for power batteries in the target area based on the number of comprehensive utilization standard packages, the number of recycled utilization standard packages, and the number of cascade utilization standard packages.

[0031] It can be seen that the management platform for power battery recycling disclosed in the second aspect of the present invention can determine the number of comprehensive utilization standard packages, the number of recycled utilization standard packages and the number of cascade utilization standard packages based on the target vehicle attribute information within the target area, and further determine the expected number of recycling standard packages for power batteries in the target area based on the number of comprehensive utilization standard packages, the number of recycled utilization standard packages and the number of cascade utilization standard packages, so as to reduce the time and manpower costs consumed in the production capacity forecasting process for power battery recycling in the target area. In addition, the process is implemented on the management platform, which reduces the influence of human factors, which is conducive to efficient production capacity forecasting for battery recycling in the target area, and further conducive to optimizing resource allocation.

[0032] A third aspect of the present invention discloses another management platform for recycling power batteries within a target area, the management platform comprising:

[0033] a memory storing executable program code;

[0034] a processor coupled to the memory;

[0035] The processor calls the executable program code stored in the memory to execute the steps of the management method for power battery recycling disclosed in the first aspect of the present invention.

[0036] A fourth aspect of the present invention discloses a computer-readable storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps of the management method for power battery recycling disclosed in the first aspect of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 This is a schematic structural diagram of a management system for power battery recycling within a target area according to an embodiment of the present invention;

[0039] Figure 2 This is a flow chart of a management method for power battery recycling according to an embodiment of the present invention;

[0040] Figure 3 yes Figure 2 A flowchart of one aspect of the sub-steps of step 202 is shown;

[0041] Figure 4 yes Figure 2 A flowchart of sub-steps of another aspect of step 202 is shown;

[0042] Figure 5 yes Figure 2 A flowchart of yet another aspect of the sub-steps of step 202 is shown;

[0043] Figure 6 This is a schematic diagram of the structure of a management platform for power battery recycling within a target area according to an embodiment of the present invention;

[0044] Figure 7 This is a structural diagram of another management platform for power battery recycling within a target area according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of 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. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0046] The terms "including" and "having" and any variations thereof in the description of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to the process, method, product, or device.

[0047] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0048] In order to better understand the management method for power battery recycling described in the present invention, the management system of the management method for power battery recycling is first described. Figure 1As shown, the management system can be equipped with a first communication device and a management platform for exchanging data with a target vehicle. The target vehicle mentioned above can be a battery-powered vehicle within the target area. The first communication device can be a radio frequency communication device for wirelessly communicating with the target vehicle. Accordingly, the target vehicle needs to be equipped with a second communication device that matches the radio frequency communication device. In actual application scenarios, several information collection points can be set up within the target area, each equipped with a first communication device. When the target vehicle drives within the signal coverage area of the first communication device, the first communication device communicates with the second communication device and exchanges data. At this time, the first communication device can obtain the target vehicle's attribute information from the second communication device. The target vehicle's attribute information may include the target vehicle's registration time, power battery capacity, and power battery service life. The management platform is in communication with the first communication device, and the first communication device can transmit the acquired attribute information of the target vehicle to the management platform. The management platform can be a server equipped with a communication device, a storage device, and a computing device. The communication device can be used to implement data exchange between the management platform and the outside world, the storage device can be used to implement the management system's data storage function, and the computing device can be used to implement the management system's data processing function. Specifically, in the management platform, the computing device is connected to the storage device and the communication device, respectively, to implement data exchange within the management platform.

[0049] Alternatively, the first communication device may be an electronic tag reader / writer antenna installed at an information collection point, and the second device may be an electronic tag installed on the target vehicle. Alternatively, the first communication device may be an ETC antenna installed on a driving lane, the second communication device may be an OBU installed on the target vehicle, and the management platform may be the backend server of the ETC system. This allows the power battery recycling management method of the present invention to be implemented based on the existing ETC system.

[0050] Optionally, the first communication device may be a Wi-Fi communication module, which may be provided in an information collection device located at an information collection point, and the information collection device may be a server having a data storage function and a computing function. Accordingly, the second communication device is a Wi-Fi communication module provided on the target vehicle. It is understandable that the first communication device and the second communication device may implement data interaction based on the Wi-Fi communication protocol, which is equivalent to forming a local area network between the first communication device and the second communication device at this time, and implementing the transmission of the target vehicle attribute information from the second communication device to the first communication device based on the local area network. Further optionally, the information collection device (i.e., the first communication device) may transmit the obtained target vehicle attribute information to the Ethernet through the Wi-Fi communication module, and transmit it to the management platform through the Ethernet, i.e., the first communication device accesses the Ethernet through its Wi-Fi communication module, and transmits information to the management platform accessed at the other end of the Ethernet.

[0051] See also Figure 2 , Figure 2 This is a flow chart of a management method for power battery recycling disclosed in the first embodiment of the present invention. The management method can be applied to Figure 1 The management system shown in Figure 2 As shown, the management method may include the following operations:

[0052] 201. The management platform obtains attribute information of the target vehicle at the information collection point within the target area.

[0053] The target vehicle may be a vehicle within the target area and powered by a power battery; the attribute information of the target vehicle may include the registration time of the target vehicle, the power battery capacity, and the service life of the power battery.

[0054] Furthermore, in order to make the collected information more targeted, the selection of information collection points can be adjusted according to the population distribution and / or traffic flow distribution; in order to make the samples in the information collection process more random, the specific locations of the information collection points can be randomly set within the target area, and the working hours of the information collection points can also be adjusted according to actual conditions.

[0055] 202. The management platform determines the number of comprehensive utilization standard packages, recycled utilization standard packages, and cascade utilization standard packages of power batteries in the target area based on the attribute information.

[0056] The standard package involved in the embodiment of the present invention refers to the functional module obtained by normalizing the production line with the entire process as the benchmark unit during the planning and design of the battery processing production line. It can be used to represent the relationship between the power battery and its production materials. Specifically, the conversion relationship between them can be: 1 standard package = 20,000 tons of powder equivalent = 40,000 tons of process materials = 80,000 tons of battery packs = 10 to 15GWh power batteries.

[0057] In step 202, the order of determining the number of comprehensive utilization standard packages, the number of recycled utilization standard packages, and the number of cascade utilization standard packages can be adjusted according to actual conditions.

[0058] 203. The management platform determines the expected number of recycling standard packages for power batteries in the target area based on the number of comprehensive utilization standard packages, the number of recycled utilization standard packages, and the number of cascade utilization standard packages.

[0059] Optionally, the sum of the number of comprehensive utilization standard packages, the number of recycled utilization standard packages, and the number of cascade utilization standard packages can be used as the expected number of recycled standard packages of power batteries in the target area; or the sum of the three can be used as the base and multiplied by a coefficient determined in the specific application scenario to obtain the expected number of recycled standard packages of power batteries in the target area.

[0060] It can be seen that in the management method for power battery recycling of the first aspect of the embodiment of the present invention, the management platform can determine the number of comprehensive utilization standard packages, the number of recycled utilization standard packages and the number of cascade utilization standard packages based on the target vehicle attribute information within the target area, and further determine the expected number of recycling standard packages for power batteries in the target area based on the number of comprehensive utilization standard packages, the number of recycled utilization standard packages and the number of cascade utilization standard packages, so as to reduce the time and labor costs consumed in the production capacity forecast process of power battery recycling in the target area. In addition, the process is implemented on the management platform, which reduces the influence of human factors, which is conducive to efficient production capacity forecast of battery recycling in the target area, and further conducive to optimizing resource allocation.

[0061] Optionally, in step 202, if Figure 3 As shown, the management platform determines the number of comprehensive utilization standard packages of power batteries in the target area based on the attribute information, which may specifically include the following operations:

[0062] 2021a. Based on attribute information, the management platform predicts the number of retired power batteries in the target area in a certain year and the corresponding amount of scrapped process materials in the production process.

[0063] The management platform integrates the attribute information of target vehicles obtained from several information collection points within the target area to estimate the total number of power battery-powered vehicles (i.e., the total number of new energy vehicles or target vehicles) and the corresponding total number of power batteries within the target area. For example, based on basic statistical principles, each information collection point can be used as a sampling unit. Based on the number of target vehicles and the corresponding registration time obtained in the sampling unit, the target total number of vehicles in the area corresponding to the year can be calculated through sampling methods; based on the number of target vehicles and the corresponding power battery capacity obtained in the sampling unit, the total number of power batteries in the area corresponding to the year can be calculated; and based on the target vehicles and the corresponding power battery service time obtained in the sampling unit, the average service time of power batteries in the area corresponding to the year can be calculated. Using the data obtained from the above sampling as the basic data, a mapping relationship can be established between the target number of vehicles, the total number of power batteries, the average service time of power batteries, and the year. Based on this mapping relationship, the number of power batteries retired in a future year can be analyzed. This power battery retirement volume can be composed of vehicle retirements and maintenance retirements. Specifically, the total target vehicle volume obtained above is used as the base number, and the annual growth rate of new energy vehicles in the region (obtained based on the region's publicly available statistical data) is used as the predicted growth rate to determine the total number of new energy vehicles in the target region in a certain future year; the total power battery volume obtained above is used as the base number, and the power battery loss rate corresponding to the power battery service life data in the industry's technical literature based on the average service time of the power battery obtained above is used as the predicted power battery loss rate to determine the total power battery loss volume in the target region in a certain future year, that is, the corresponding power battery maintenance and retirement volume, and the total number of power batteries in the target region in a certain future year can also be determined. Based on the mapping relationship mentioned above, the total number of new energy vehicles in the target region in a certain future year (that is, the target number of vehicles in a certain future year in the mapping relationship) can be used to determine the corresponding total number of power batteries, and the difference in the total number of power batteries corresponding to two years can be used to determine the vehicle retirement volume in the target region.

[0064] The scrap volume of process materials mentioned in step 221a can be calculated by multiplying the number of retired power batteries in the target region in a given year by the scrap rate during the production process. Industry literature indicates that the scrap rate during power battery production is between 4% and 12%.

[0065] 2022a. The management platform determines the number of comprehensive utilization standard packages in the target area based on the amount of retired power batteries and the amount of scrapped batteries.

[0066] The number of comprehensive utilization standard packages can be calculated using the following formula:

[0067]

[0068] Among them, S C The number of standard packages for comprehensive utilization; R Bi k is the number of retired new energy vehicle power batteries in the target area in year i; SB is the conversion factor of power battery standard pack; J Bi k is the amount of scrapped process materials during the power battery production process in the target area in year i; sJ is the conversion factor for standard packages of power battery production process materials, and t is the planned processing capacity to meet the actual scrap volume within t years. Alternatively, the conversion factor for standard packages of power battery production process materials and the conversion factor for standard packages of power battery production process materials can be determined by consulting industry research literature.

[0069] It can be seen that determining the number of comprehensive utilization standard packages based on the amount of retired power batteries and the amount of scrapped process materials in the power battery production process is conducive to more accurately determining the increase in the number of comprehensive utilization standard packages, thereby helping to improve the accuracy of the expected number of recycling standard packages for power batteries in the target area obtained subsequently.

[0070] Optionally, in step 202, if Figure 4 As shown, the management platform determines the number of standard recycling packages for power batteries in the target area based on the attribute information, which may specifically include the following operations:

[0071] 2021b. Based on the attribute information, the management platform predicts the amount of recycled power batteries in the target area in a certain year and the corresponding amount of scrapped process materials in the production process.

[0072] The management platform integrates the attribute information of target vehicles obtained from several information collection points within the target area to estimate the total number of power battery-powered vehicles (i.e., the total number of new energy vehicles or target vehicles) and the corresponding total number of power batteries within the target area. For example, based on basic statistical principles, each information collection point can be used as a sampling unit. Based on the number of target vehicles and the corresponding registration time obtained in the sampling unit, the target total number of vehicles in the area corresponding to the year can be calculated through sampling methods; based on the number of target vehicles and the corresponding power battery capacity obtained in the sampling unit, the total number of power batteries in the area corresponding to the year can be calculated; and based on the target vehicles and the corresponding power battery service time obtained in the sampling unit, the average service time of power batteries in the area corresponding to the year can be calculated. Using the data obtained from the above sampling as the basic data, a mapping relationship can be established between the target number of vehicles, the total number of power batteries, the average service time of power batteries, and the year. Based on this mapping relationship, the number of power batteries retired in a future year can be analyzed. This power battery retirement volume can be composed of vehicle retirements and maintenance retirements. Specifically, the total target vehicle volume obtained above is used as the base number, and the annual growth rate of new energy vehicles in the region (obtained based on the region's publicly available statistical data) is used as the predicted growth rate to determine the total number of new energy vehicles in the target region in a certain future year; the total power battery volume obtained above is used as the base number, and the power battery loss rate corresponding to the power battery service life data in the industry's technical literature based on the average service time of the power battery obtained above is used as the predicted power battery loss rate to determine the total power battery loss volume in the target region in a certain future year, that is, the corresponding power battery maintenance and retirement volume, and the total number of power batteries in the target region in a certain future year can also be determined. Based on the mapping relationship mentioned above, the total number of new energy vehicles in the target region in a certain future year (that is, the target number of vehicles in a certain future year in the mapping relationship) can be used to determine the corresponding total number of power batteries, and the difference in the total number of power batteries corresponding to two years can be used to determine the vehicle retirement volume in the target region.

[0073] Power battery recycling amount R Gi It can be obtained by the following formula:

[0074] R Gi =R Bi -R Bi ×P Ci

[0075] Among them, R Gi is the amount of power batteries that need to be recycled in a certain region in year i, GWh; R Bi is the amount of retired new energy vehicle power batteries in a certain region in year i, GWh; P Ci It is the utilization rate of retired power batteries.Ci The cascade utilization rate of retired power batteries can be obtained through industry surveys or literature, which is generally 30%-70%.

[0076] 2022b. The management platform determines the number of standard recycling packages for power batteries in the target area based on the recycled volume and the scrapped volume.

[0077] Recycling standard package quantity S G It can be obtained by the following formula:

[0078]

[0079] Among them, R Gi is the amount of power batteries that need to be recycled in a certain region in year i; k SB is the conversion factor of power battery standard pack; J Bi k is the amount of scrapped process materials during the power battery production process in the target area in year i; sJ is the conversion factor for standard packages of power battery production process materials; t is the planned processing capacity to meet the actual scrap volume within t years. Optionally, the conversion factor for standard packages of power battery production process materials and the conversion factor for standard packages of power battery production process materials can be determined by consulting industry research literature.

[0080] It can be seen that determining the number of recycling standard packages based on the amount of retired power batteries is conducive to more accurately determining the increase in the number of recycling standard packages, thereby helping to improve the accuracy of the expected number of recycling standard packages for power batteries in the target area obtained subsequently.

[0081] Optionally, in step 202, the management platform determines the number of standard packages for second-life power batteries in the target area based on the attribute information, which may specifically include the following operations:

[0082] 2021c. The management platform predicts the amount of retired power batteries in the target area based on attribute information.

[0083] The management platform integrates the attribute information of target vehicles obtained from several information collection points within the target area to estimate the total number of power battery-powered vehicles (i.e., the total number of new energy vehicles or target vehicles) and the corresponding total number of power batteries within the target area. For example, based on basic statistical principles, each information collection point can be used as a sampling unit. Based on the number of target vehicles and the corresponding registration time obtained in the sampling unit, the target total number of vehicles in the area corresponding to the year can be calculated through sampling methods; based on the number of target vehicles and the corresponding power battery capacity obtained in the sampling unit, the total number of power batteries in the area corresponding to the year can be calculated; and based on the target vehicles and the corresponding power battery service time obtained in the sampling unit, the average service time of power batteries in the area corresponding to the year can be calculated. Using the data obtained from the above sampling as the basic data, a mapping relationship can be established between the target number of vehicles, the total number of power batteries, the average service time of power batteries, and the year. Based on this mapping relationship, the number of power batteries retired in a future year can be analyzed. This power battery retirement volume can be composed of vehicle retirements and maintenance retirements. Specifically, the total target vehicle volume obtained above is used as the base number, and the annual growth rate of new energy vehicles in the region (obtained based on the region's publicly available statistical data) is used as the predicted growth rate to determine the total number of new energy vehicles in the target region in a certain future year; the total power battery volume obtained above is used as the base number, and the power battery loss rate corresponding to the power battery service life data in the industry's technical literature based on the average service time of the power battery obtained above is used as the predicted power battery loss rate to determine the total power battery loss volume in the target region in a certain future year, that is, the corresponding power battery maintenance and retirement volume, and the total number of power batteries in the target region in a certain future year can also be determined. Based on the mapping relationship mentioned above, the total number of new energy vehicles in the target region in a certain future year (that is, the target number of vehicles in a certain future year in the mapping relationship) can be used to determine the corresponding total number of power batteries, and the difference in the total number of power batteries corresponding to two years can be used to determine the vehicle retirement volume in the target region.

[0084] 2022c. The management platform shall determine the number of standard packages for the reuse of power batteries in the target area based on the number of retired power batteries and the corresponding reuse rate.

[0085] Furthermore, the number of standard packages for cascade utilization can be calculated using the following formula:

[0086]

[0087] Among them, S E The number of standard packages for power battery recycling; R Bi is the amount of retired power batteries in the target area in year i, GWh; P Ci k is the cascade utilization rate of retired power batteries;SE is the conversion factor for the standard package for power battery recycling, and t is the planned processing capacity required to meet the actual scrap volume within t years. Optionally, the recycling rate of retired power batteries can be obtained through industry research or literature, and is generally 30%-70%.

[0088] In the recycling process of power batteries carried by new energy vehicles, the amount of retired power batteries can be efficiently determined. Optionally, the amount of retired power batteries can be determined based on the corresponding on-board retired power batteries in the target area and the maintenance retired power batteries in the target area. The on-board retired power batteries represent the number of power batteries carried by electric vehicles when they are scrapped. Specifically, the retired power battery amount can be calculated using the following formula:

[0089] R Bi =R Vi +R ri

[0090] Among them, R Bi is the number of retired new energy vehicle power batteries in the target area in year i; R Vi is the number of retired new energy vehicle power batteries in the target area in year i; R ri The number of new energy vehicle power batteries retired after maintenance in the target area in year i.

[0091] In order to more efficiently determine the number of vehicle retirement and power battery maintenance retirement, the number of vehicle retirement and power battery maintenance retirement is determined based on the Stanford model. Specifically, after the power battery is shipped in a certain year, it will be retired after n1, n2, ..., n m Years later, the probabilities of being scrapped or eliminated are P1, P2, ..., P m , where n m ≥Battery life L v , and P L1 +P L2 …+P Lm =1, and the amount of retired power batteries can be calculated using the following formula:

[0092]

[0093] Among them, R Vi I is the number of retired new energy vehicle power batteries in the target area in year i; Ei P is the installed capacity of power batteries i years ago from the current year; Li is the probability that the power battery produced i years ago will be scrapped after working for i years; L vis the lifespan of the power battery in the vehicle. Specifically, the lifespan of a power battery in a vehicle can be obtained through industry research or literature and is generally 3-12 years. The probability of a power battery produced i years ago being scrapped after i years of operation follows a normal distribution.

[0094] The above mentioned installed capacity of power batteries in year i is I Ei , can be obtained by the following formula:

[0095]

[0096] Among them, R Ei is the number of new energy vehicles registered in the target area in year i; Ni-1 Y is the installed capacity of new energy vehicle power batteries in the target region in year i-1; Ni-1 is the output of new energy vehicles in the target region in year i-1; Ni-2 Y is the installed capacity of new energy vehicle power batteries in the target area in years i-2; Ni-2 The output of new energy vehicles in the target region in years i-2; Ni-3 Y is the installed capacity of new energy vehicle power batteries in the target area in years i-3; Ni-3 The output of new energy vehicles in the target region in years i-3; Ni-4 The installed capacity of new energy vehicle power batteries in the target areas in years i-4; Y Ni-4 The output of new energy vehicles in the target regions in years i-4.

[0097] Optionally, taking into account the impact of population factors in the target area on the number of retired vehicles and power battery maintenance retirements in the target area, the number of new energy vehicles is determined based on the number of cars owned per unit population in the target area, the population size and the penetration rate of new energy vehicles.

[0098] Specifically, the number of new energy vehicles in the region is determined based on the predicted number of vehicles per thousand people (i.e., the number of vehicles per unit population) and the predicted population within the target area. The vehicle increment is calculated by combining the difference in vehicle ownership over two consecutive years. The number of registered vehicles in the region is also calculated after considering the number of scrapped vehicles in the region. The number of registered new energy vehicles is then calculated based on the penetration rate of new energy vehicles. The calculation formula is as follows:

[0099] R Ei =(O ki+1 ×P pi+1 -O ki ×P pi +O ki ×P pi ×r S )×r Ei

[0100] Among them, R Ei is the number of new energy vehicles registered in year i; O ki+1 P is the number of cars per thousand people in the target area in year i+1; pi+1 is the population of the target area in year i+1; ki P is the number of cars per thousand people in the target area in year i; pi is the population of the target area in year i; r S is the vehicle scrapping rate. Ei is the new energy vehicle penetration rate in the target region in year i. In particular, the vehicle scrapping rate can be obtained by consulting the literature and is generally 4%-6%.

[0101] The new energy vehicle penetration rate r in the target area mentioned above in year i Ei It can be obtained by the following formula:

[0102]

[0103] Among them, r Ei is the new energy vehicle penetration rate in the target area in year i; r Ei-1 is the new energy vehicle penetration rate in the target region in year i-1; r Ei-2 is the new energy vehicle penetration rate in the target area in year i-2; r Ei-3 is the new energy vehicle penetration rate in the target area in years i-3; r Ei-4 is the new energy vehicle penetration rate in the target region for years i-4. Specifically, the new energy vehicle penetration rate in the target region for year i can be calculated by the ratio of new energy vehicle sales to automobile sales in the target region. Automobile sales in the target region can be obtained from the Energy Saving and New Energy Vehicle Yearbook, or from automobile retail sales data published by the Automobile Circulation Association.

[0104] The population of the target area in year i mentioned above is P pi , can be determined based on the population census data of the target area. Specifically, the population growth rate can be calculated based on the data of the target area's two most recent population censuses (the frequency is once every ten years, and the census year ends with 0, such as the last census in 2020), and the future population of the target area can be estimated using the following formula:

[0105]

[0106] Among them, P pi is the population of the target area in year i; P i-1 P is the population of the target area in the first recent census in year i; i-2 is the population of the target area in the second most recent census in the i-th year; n is the last digit of the i-th year.

[0107] The number of cars per thousand people in the target areas mentioned above is O ki It can be determined based on the annual growth rate of per capita GDP in the target region. Specifically, it can be calculated using the following formula:

[0108]

[0109] Among them, O ki is the number of cars per thousand people in the target area; ki is the number of cars per thousand people in the target area in year i; ki-1 G is the number of cars per thousand people in the target area in year i-1; i-1 is the per capita GDP of the target region in year i-1; G i-2 is the per capita GDP of the target region in year i-2; G i-3 G is the GDP per capita of the target region in years i-3; i-4 is the GDP per capita of the target region in years i-4.

[0110] Optionally, the future power battery production capacity of the target region can be calculated based on the historical power battery production capacity and the installed capacity of power batteries in the target region. Assume that there are m battery factories in a region, and the nth battery factory files a battery production project. The project is planned to be fully put into production in year a, and the planned battery production capacity is b. n GWh. By calculating the planned production capacity of power batteries for each battery factory in the region and taking into account the released capacity, the actual historical production capacity of power batteries in the region is calculated. By correlating the historical production capacity with the installed capacity of power batteries for new energy vehicles, the future production capacity of power batteries in the region is calculated.

[0111] The formula for calculating the historical production capacity of the nth battery company can be as follows:

[0112]

[0113] The formula for calculating the historical battery production capacity of the target region can be as follows:

[0114]

[0115] The formula for calculating future battery production capacity in the target region can be as follows:

[0116]

[0117] Among them, G Bi is the power battery production capacity of the target region in year i, GWh; G Bi+1 The power battery production capacity in the target region in year i+1, GWh; g Bnib is the actual production capacity of power batteries of the nth power battery factory in the target area in year i, GWh; n Plan the battery production capacity for the nth battery plant, GWh; k1 is the production rate of the battery plant in the first year of all production years; k2 is the production rate of the battery plant in the first two years of all production years; m is the number of power battery plants in the target area. Optionally, the production rate mentioned above can be determined by querying the battery plant construction project filing information based on the investment project approval and supervision platform. For example, a project will be put into production in 2024 and produce 25GWh of power batteries. k1 is the production rate of the battery plant in the first year of all production years (i.e., 2023), which is usually 0%-80%; k2 is the production rate of the battery plant in the first two years of all production years (i.e., 2022), which is usually 0%-40%.

[0118] Optionally, in order to optimize the process of transmitting the attribute information of the target vehicle from the information collection point to the management platform, the management system may further include a first communication device provided at the information collection point. Accordingly, step 201 may be specifically as follows: the management platform obtains the attribute information of the target vehicle sent by the first communication device at the information collection point within the target area. The attribute information is obtained from the target vehicle by the first communication device communicating with the target vehicle. Further optionally, in order to optimize resources, the management system may utilize the existing ETC system to perform the steps of the management method for power battery recycling described in the embodiment of the first aspect of the present invention. Specifically, the first communication device located at the information collection point may be an electronic tag reading and writing antenna, and the target vehicle is provided with an electronic tag for writing attribute information (i.e., the second communication device mentioned above). The electronic tag reading and writing antenna reads the electronic tag of the target vehicle that enters its signal coverage range to obtain the attribute information of the target vehicle.

[0119] See also Figure 6 , Figure 6 The second embodiment of the present invention discloses a management platform, which can be applied to Figure 1 The management system for power battery recycling within a target area shown in FIG. 6 includes an acquisition module 602 and a determination module 601 , wherein:

[0120] The acquisition module 602 is used to obtain the attribute information of the target vehicle at the information collection point within the target area.

[0121] The determination module 601 is used to determine the number of comprehensive utilization standard packages of power batteries in the target area based on the attribute information.

[0122] The determination module 601 is further configured to determine the number of standard recycling packages for power batteries in the target area based on the attribute information.

[0123] The determination module 601 is further configured to determine the number of standard packages for the secondary utilization of power batteries in the target area based on the attribute information.

[0124] The determination module 601 is further configured to determine the expected number of standard recycling packages for power batteries in the target area based on the number of comprehensive utilization standard packages, the number of recycled utilization standard packages, and the number of cascade utilization standard packages.

[0125] It can be seen that the management platform for power battery recycling in the second aspect of the embodiment of the present invention can determine the number of comprehensive utilization standard packages, the number of recycled utilization standard packages and the number of cascade utilization standard packages based on the target vehicle attribute information within the target area, and further determine the expected number of recycling standard packages for power batteries in the target area based on the number of comprehensive utilization standard packages, the number of recycled utilization standard packages and the number of cascade utilization standard packages, so as to reduce the time and manpower costs consumed in the production capacity forecast process of power battery recycling in the target area. In addition, the process is implemented on the management platform, which reduces the influence of human factors, which is conducive to efficient production capacity forecast of battery recycling in the target area, and further conducive to optimizing resource allocation.

[0126] See also Figure 7 , Figure 7 The third embodiment of the present invention discloses a management platform that can be used for power battery recycling within a target area. Figure 7 As shown, the management platform may include:

[0127] A memory 701 storing executable program code;

[0128] a processor 702 coupled to the memory 701;

[0129] Furthermore, it may also include an input interface 703 and an output interface 704 coupled to the processor 702;

[0130] The processor 702 calls the executable program code stored in the memory 701 to execute the steps of the management method for power battery recycling described in the embodiment of the first aspect of the present invention.

[0131] A fourth embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the management method for power battery recycling described in the first aspect of the present invention.

[0132] The fifth embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the management method for power battery recycling described in the first aspect of the present invention.

[0133] The device embodiments described above are merely illustrative. Modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0134] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, or of course, by means of hardware. Based on this understanding, the above technical solution, in essence, or the portion that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0135] Finally, it should be noted that the management method and management platform for power battery recycling disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and 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 aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A management method for power battery recycling, characterized in that: The management method is applied to a management system for power battery recycling within a target area. The management system includes target vehicles and a management platform for implementing data exchange. The target vehicles are power battery-driven vehicles within the target area. The management method includes: The management platform obtains attribute information of the target vehicle at the information collection point within the target area; The management platform determines the number of comprehensive utilization standard packages of power batteries in the target area based on the attribute information; The management platform determines the number of standard recycling packages for power batteries in the target area based on the attribute information; The management platform determines the number of standard packages for second-life utilization of power batteries in the target area based on the attribute information; The management platform determines the expected number of recycling standard packages for power batteries in the target area based on the number of comprehensive utilization standard packages, the number of recycled utilization standard packages, and the number of cascade utilization standard packages; The attribute information includes the target vehicle's registration time, power battery capacity, and power battery service life.

2. The management method for power battery recycling according to claim 1, characterized in that: The management platform determines the number of comprehensive utilization standard packages of power batteries in the target area based on the attribute information, specifically including: The management platform predicts the amount of retired power batteries in the target area in a certain year and the amount of scrapped process materials in the corresponding production process based on the attribute information; The management platform determines the number of comprehensive utilization standard packages in the target area according to the retired power battery quantity and the scrapped power battery quantity.

3. The management method for power battery recycling according to claim 1, characterized in that: The management platform determines the number of standard recycling packages for power batteries in the target area based on the attribute information, specifically including: The management platform predicts the recycled utilization amount of power batteries in the target area in a certain year based on the attribute information; The management platform determines the number of standard recycling packages for power batteries in the target area based on the recycled amount and the scrapped amount.

4. The management method for power battery recycling according to claim 1, characterized in that: The management platform determines the number of standard packages for second-life utilization of power batteries in the target area based on the attribute information, specifically including: The management platform predicts the amount of retired power batteries in the target area based on the attribute information; The management platform determines the number of standard packages for the reuse of power batteries in the target area according to the amount of retired power batteries and the corresponding reuse rate.

5. The management method for power battery recycling according to any one of claims 2 to 4, characterized in that: The power battery retirement amount is obtained by the management platform according to the attribute information and based on the Stanford model, based on the on-board retirement amount and the power battery maintenance retirement amount.

6. The management method for power battery recycling according to claim 1, characterized in that: The management system further includes a first communication device provided at an information collection point, and the management platform obtains attribute information of the target vehicle at the information collection point within the target area, specifically including: The management platform obtains attribute information of the target vehicle sent by a first communication device at an information collection point within the target area, wherein the attribute information is obtained from the target vehicle when the first communication device is in communication with the target vehicle.

7. The management method for power battery recycling according to claim 6, characterized in that: The first communication device is an electronic tag reading and writing antenna. The target vehicle is provided with an electronic tag with written attribute information. The electronic tag reading and writing antenna reads the electronic tag of the target vehicle entering its signal coverage range to obtain the attribute information of the target vehicle.

8. A management platform, provided in a management system for power battery recycling within a target area, the management system further comprising target vehicles that exchange data with the management platform, the target vehicles being power battery-driven vehicles within the target area, characterized in that: The management platform includes an acquisition module and a determination module. The acquisition module is used to acquire the attribute information of the target vehicle at the information collection point within the target area. The determining module is used to determine the number of comprehensive utilization standard packages of power batteries in the target area based on the attribute information. The determination module is further configured to determine the number of standard recycling packages for power batteries in the target area based on the attribute information. The determining module is further configured to determine the number of standard packages for secondary utilization of power batteries in the target area based on the attribute information. The determination module is further configured to determine the expected number of recycling standard packages for power batteries in the target area based on the number of comprehensive utilization standard packages, the number of recycled utilization standard packages, and the number of cascade utilization standard packages; The attribute information includes the target vehicle's registration time, power battery capacity, and power battery service life.

9. A management platform for power battery recycling within a target area, characterized by: The management platform includes: a memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the steps of the management method for power battery recycling according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, which, when called, are used to execute the steps of the management method for power battery recycling according to any one of claims 1 to 7.

Images