Retired battery applicability detection method, device and equipment and storage medium

Abstract

The invention relates to the technical field of reutilization of retired batteries, in particular to a retired battery applicability detection method, device and equipment and a storage medium, a plurality of retired battery modules with matched volume and weight are selected according to installation data of a historically installed vehicle type, and then selection and determination are performed according to the battery capacity, so that the applicability of the retired battery can be detected after the vehicle type is clearly installed. The decommissioned battery modules which can be matched are selected immediately, the matching speed is high, and the efficiency is high; besides, for a plurality of matched retired battery module combinations, the most suitable retired battery module combination meeting the cost performance and the performance can be selected, so that the requirement of diversity is met.

Description

Technical Field

[0001] The present invention relates to the technical field of retired battery recycling, and in particular to a retired battery applicability detection method, device, equipment and storage medium. Background Art

[0002] In recent years, my country's new energy vehicles have shown rapid growth, leading to a continuous increase in demand and scrapped power lithium batteries.

[0003] At present, the imbalance between supply and demand of battery metal material resources is gradually emerging. As the downstream demand for new energy vehicles gradually becomes clear, domestic power battery manufacturers have expanded their production capacity in 2016-2017, especially the expansion of ternary batteries, which has further increased the demand for cobalt. Therefore, recycling and reusing cobalt from waste batteries is becoming more and more economical. For enterprises, power battery recycling contains huge business opportunities. After recycling and processing, it can save raw material costs for battery manufacturers. In addition, power battery recycling is also closely related to the government's construction of a low-carbon economy and an environmentally friendly society.

[0004] The performance of electric vehicle power batteries will decay as the number of charging times increases. When the battery capacity decays to less than 80% of the rated capacity, the power battery is not suitable for use in electric vehicles, which means that its service life in electric vehicles ends. If the battery is directly eliminated, it will inevitably cause a serious waste of resources and cause environmental pollution.

[0005] The national standard GB / T34013-2017 "Specifications and Dimensions of Power Batteries for Electric Vehicles" clearly stipulates the size and specification requirements of single cells, modules and standard boxes of power batteries for electric vehicles. This standard can effectively solve the problem that power batteries are difficult to match with the structure of energy storage power stations or household energy storage equipment due to their different sizes in the cascade utilization of power batteries, and also lowers the threshold for the cascade recycling of power batteries. The national standard GB / T34014-2017 "Coding Rules for Automotive Power Batteries" stipulates the basic principles, coding objects, code structure and data carriers of power battery coding. The release of this standard can more accurately determine the responsible entity for power battery recycling in power battery production management, maintenance and traceability, key parameter monitoring of electric vehicles, especially in the power battery recycling link, with traceability and uniqueness. National GB / T34015-2017 "Residual Energy Detection for Recycling of Automotive Power Batteries". It standardizes the inspection processes of power battery appearance inspection, polarity detection, voltage determination, charge and discharge current determination, and residual energy testing, providing an evaluation basis for residual energy detection of automotive power batteries, and helping to improve the safety and scientificity of residual energy detection of waste power batteries.

[0006] With the increase in the number of new energy vehicles, the recycling and reuse of power lithium batteries is an issue that must be faced. Summary of the invention

[0007] The technical problem to be solved by the present invention is: In order to solve the technical problems in the prior art, the present invention provides a method, device, equipment and storage medium for detecting the suitability of retired batteries.

[0008] The technical solution adopted by the present invention to solve its technical problem is: a method for detecting the suitability of retired batteries, including the following steps: S1, performing a whole-pack detection on retired batteries to obtain the shape A, weight B, and capacity value C of the retired battery modules in the retired battery pack, sorting and storing the obtained data, and preparing for the next step of centralized data calculation; S2, uniformly performing calculation and analysis on the data of each group of retired battery modules with the same technical parameters; S3, according to the installation data of the big data model, addressing and matching a number of retired battery module combinations whose volume A, weight B and capacity C meet the requirements of the installed vehicle model from the statistical array, and arranging the one-dimensional array corresponding to each retired battery module combination in descending order according to the value of the capacity C therein , obtain the data set of retired battery modules, find the optimal data set by finding the pairing, then perform data analysis on the matching of the battery modules, and finally assemble them into battery packs online; S4, receive the information of the vehicle model to be installed, match the historical installed vehicle model information, if the match is successful, retrieve the retired battery module data set of this installed vehicle model, select the corresponding retired battery module for installation, if the match is unsuccessful, according to the installation data of the vehicle model to be installed, match the retired battery modules whose volume and weight meet the requirements of the vehicle model to be installed from the first array, arrange the one-dimensional array corresponding to the retired battery modules in descending order according to the value of the capacity C therein, obtain the retired battery module data set of this vehicle model to be installed, and select the corresponding retired battery module for installation.

[0009] The retired battery applicability detection method of the present invention selects several retired battery modules with matching volumes and weights based on the installation data of historically installed vehicle models, and then makes a selection based on the battery capacity, so that after the installation vehicle model is determined, a matching retired battery module can be immediately selected, and the matching speed is fast and efficient. In addition, for the matched several retired battery module combinations, the most suitable retired battery module combination that meets the cost-effectiveness and performance can be selected to meet the diversity requirements.

[0010] Further, in step S2, the calculation formula is as follows:

[0011]

[0012] P max =U min I max (2)

[0013] Q g =I2 R t (3).

[0014] Further, step S4 includes the following steps:

[0015] S41, if retired battery modules are added or deleted from the statistical big data model, the first array set is updated;

[0016] S42, if the retired battery module corresponding to the retired battery module data set of the installed vehicle model in the statistical big data model is added or deleted, the retired battery module data set of the installed vehicle model is updated;

[0017] S43. According to the installation data of the big data model in the statistical big data model, retired battery modules whose volumes and weights meet the requirements of the installed vehicle model are matched from the one-dimensional array of the first array set.

[0018] Furthermore, in step S1, the actual capacity C of the battery is calculated based on the actual voltage data and the percentage of degradation of the battery module.

[0019] Further, in step S4, the total operating time is determined according to the total power of the motor of the vehicle type to be installed and the amount of electrical energy actually consumed per hour when the motor runs to generate the required torque, and the rated capacity value of the required battery is obtained, and a predetermined number of retired battery modules whose total actual capacity values ​​match are selected from the one-dimensional array of the retired battery module data set of the vehicle type to be installed.

[0020] Further, in step S4, a predetermined number of retired battery modules with matching capacity C are selected from the one-dimensional array of the retired battery module data set of the vehicle model to be installed, wherein the predetermined number is determined by the volume and weight of the vehicle model to be installed.

[0021] A device for matching and applying retired batteries, using the above-mentioned retired battery applicability detection method, comprises:

[0022] Detection and creation array module: used to detect the entire package of retired batteries, obtain the volume A, weight B, and actual capacity value C of the retired battery module in the retired battery pack, and store them in a one-dimensional array to obtain {A, B, C};

[0023] Big data set creation and sorting module: used to organize the arrays of retired battery modules to be reused into basic array sets for quantitative and qualitative analysis;

[0024] Retired battery module data set creation module: According to the battery pack installation data of the big data model, the retired battery modules whose volume A and weight B meet the requirements of the installed vehicle model are matched from the array set, and the one-dimensional array corresponding to the retired battery modules is arranged in descending order according to the value of capacity C therein to obtain the retired battery module data set of this installed vehicle model;

[0025] Matching module: Receive the information of the vehicle model to be installed, match the historical installed vehicle model information, if the match is successful, retrieve the retired battery module data set of this installed vehicle model, and select the corresponding retired battery module for installation; if the match is unsuccessful, according to the installation data of the vehicle model to be installed, match the retired battery modules whose volume A and weight B meet the requirements of the vehicle model to be installed from the first array, arrange the parameter arrays corresponding to the retired battery modules in descending order according to the value of C, obtain the retired battery module data set of this vehicle model to be installed, and select the corresponding retired battery module for installation.

[0026] Furthermore, it also includes an update module for updating the first array of retired battery module data sets according to the addition or deletion of retired battery modules.

[0027] A device for matching retired batteries with applications comprises a processor and a memory. When the processor executes a computer program stored in the memory, the above-mentioned retired battery applicability detection method is implemented.

[0028] A computer-readable storage medium is used to store a computer program, and when the computer program is executed by a processor, the method for detecting the suitability of retired batteries is implemented.

[0029] The beneficial effect of the present invention is that, based on the installation data of historical installed vehicle models, several retired battery modules with matching volumes and weights are selected, and then the selection is determined based on the battery capacity, so that after the installation vehicle model is clearly identified, the retired battery modules that can be matched can be immediately selected, and the matching speed is fast and efficient; in addition, for the several matched retired battery module combinations, the most suitable retired battery module combination that meets the cost-effectiveness and performance can be selected to meet the diversity requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0031] Figure 1 It is a flow chart of the method for detecting the suitability of retired batteries in the present invention.

[0032] Figure 2 It is a function diagram reflecting the updated capacity adoption ratio in the present invention.

[0033] Figure 3 It is a schematic diagram showing the battery capacity and discharge platform of the lithium battery in the present invention. DETAILED DESCRIPTION

[0034] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and therefore only show the components related to the present invention.

[0035] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more. In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0036] The invention discloses a method for detecting the applicability of retired batteries.

[0037] Reference Figure 1 and Figure 3 , a method for detecting the suitability of retired batteries, comprising the following steps:

[0038] S1. Perform a whole pack test on retired batteries to obtain the volume A, weight B, and actual capacity value C of the retired battery module in the retired battery pack, store them in a large data packet to obtain {A, B, C}, form a standard unit, set an address 001, and count the retired battery module in the retired battery pack as the smallest unit, and put its volume, weight, and battery capacity into a data group after matching them, so as to facilitate the subsequent addressing and matching.

[0039] S2. The one-dimensional array of retired battery modules to be recycled is formed into a first array set.

[0040] The calculation formula is as follows:

[0041]

[0042] P max =U min I max (2)

[0043] Q g =I 2 R t (3).

[0044] Among them I max is the maximum current, P max is the maximum power, Q g For maximum heat.

[0045] If a retired battery module is newly added, or a retired battery module is deleted because it is successfully matched and used in stages, the first array set is updated according to the addition or deletion of the retired battery module.

[0046] You can preset an update frequency, such as updating once every day at 12:00. This update frequency can be set according to the density of additions or deletions, and the update frequency can also be modified in time. The updated capacity adopts a proportional function such as Figure 2 .

[0047] S3. According to the installation database of a large number of automobile battery packs, the corresponding modules are matched from the big data. The volume and weight of the battery pack meet the requirements of the installation vehicle model. The data address corresponding to each retired battery module combination is arranged in descending order according to the value of the capacity C, and the retired battery module data set is obtained.

[0048] The installation data of historical battery packs can be used for models that have successfully recycled retired batteries. Here, a database of installed battery packs can be established. The database collects the total weight of each installed model, measures the maximum loading space of the battery pack, and the total motor power of the installed model or some oil-to-electric models. According to the wheelbase required for operation, the actual hourly power consumption of the motor is determined, the total working time is determined, and the actual capacity value of the battery pack is obtained. The more detailed the installation data of historical installed models is, the better, which will provide more reference conditions for the subsequent selection of retired battery modules.

[0049] According to the installation data of the vehicle models in the big database, several retired battery module combinations whose volume and weight meet the requirements of the installed vehicle models are matched from the one-dimensional array of the first array set, and the first-order polynomial is used for calculation and matching. Specifically, the following operations may be included:

[0050] If it is known that the vehicle model can be installed with retired batteries with a total volume of A and a total weight of B, a first-order polynomial is used for calculation, and the formula is as follows:

[0051] A=A1+A2+A3……+Ai

[0052] B=B1+B2+B3……+Bi

[0053] When there is a situation that satisfies both of the above formulas, it is considered that the volume and weight of the corresponding retired battery module meet the requirements of the installed vehicle model and can be used as the retired battery of this installed vehicle model. Therefore, the corresponding retired battery module is used as a retired big data battery module combination. There may be several retired battery module combinations corresponding to this installed vehicle model.

[0054] If an addressing error occurs in the retired battery module corresponding to the retired battery module data set of the installed vehicle model in step S3, the retired battery module data set of the installed vehicle model is updated after recalculation.

[0055] S4. Receive the information of the vehicle model to be installed and match it with the historical installed vehicle model information. If the match is successful, retrieve several retired battery module data sets of the installed vehicle model and select the corresponding retired battery module combination for installation. If the match is unsuccessful, match the retired battery modules whose volume and weight meet the requirements of the vehicle model to be installed from the first array according to the installation data of the vehicle model to be installed, arrange the one-dimensional array corresponding to the retired battery modules in descending order according to the value of the battery module capacity C therein, obtain the retired battery module data set of the vehicle model to be installed, select the corresponding retired battery module for installation, and if the match is still unsuccessful after multiple times, there is no retired battery module that meets the conditions.

[0056] According to the total power of the motor of the vehicle model to be installed, the amount of electrical energy actually consumed per hour when the motor runs to generate the required torque, the total working operation time is determined, and the rated capacity value of the required battery is obtained. The retired battery module combination whose total actual capacity value matches the rated capacity value of the required battery is selected from the one-dimensional array of retired battery module combinations of the vehicle model to be installed, and the matching is completed.

[0057] If there is no retired battery module whose total actual capacity value matches the rated capacity value of the required battery in the one-dimensional array of the retired battery module combination of the vehicle model to be installed, matching cannot be performed.

[0058] In order to eliminate the above-mentioned influence, you can try to start the natural solubility value that satisfies the formula from 1, and try to control it to the requirement of adding 1 each time.

[0059] A control device for retired battery matching application includes a detection array creation module, a big data creation module address, a service battery module data set creation module, a matching module and an update module. The detection array creation module is used to perform a whole pack detection on the retired battery pack, obtain the volume A, weight B, and actual capacity value C of the retired battery module in the retired battery pack, and store them in a big data model to obtain {A, B, C} arranged in natural number order. The retired battery module in the retired battery pack is counted as the smallest unit, and its volume, weight, and battery capacity are matched and put into a unit for addressing, which is convenient for subsequent calculation and matching of the corresponding IP address.

[0060] The big data creation module address is used to package the parameter data of the retired battery modules to be recycled and store them into 001, and then the subsequent data begins to be automatically addressed in hexadecimal.

[0061] The application scenario of the update module is that if a retired battery module is newly added, or a retired battery module is deleted because it is successfully matched and used in stages, the first array set is updated according to the addition or deletion of the retired battery module. An update frequency can be preset, such as updating once every day at 12:00. This update frequency can be set according to the density of additions or deletions, and the update frequency can also be modified in time.

[0062] The retired battery module data set creation module matches several retired battery module combinations whose volumes and weights meet the requirements of the installed vehicle model from the one-dimensional array of the first array set according to the installation data of the big data model, and arranges the one-dimensional array corresponding to each retired battery module combination in descending order according to the value of C to obtain the retired battery module data set.

[0063] The installation data of historically installed models are models that have successfully recycled retired batteries. Here, a database of installed models can be established. The database collects the total weight of each installed model, measures the maximum loading space of the battery pack of the model, and the total power of the motor of the installed model or some oil-to-electric models. According to the wheelbase required for operation, the actual hourly consumption of the motor is determined, the total working time is determined, and the actual capacity value of the battery pack is obtained. The more detailed the installation data of historically installed models is, the better, which will provide more reference conditions for the subsequent selection of retired battery modules.

[0064] According to the installation data of the big data model, a number of retired battery module combinations whose volume and weight meet the requirements of the installed vehicle model are matched from the one-dimensional array of the first array set, and a first-order polynomial is used for calculation and matching. The following operations may be specifically included:

[0065] If it is known that the vehicle model can be installed with retired batteries with a total volume of A and a total weight of B, a first-order polynomial is used for calculation, and the formula is as follows:

[0066] A=A1+A2+A3……+Ai

[0067] B=B1+B2+B3……+Bi

[0068] Wherein they increase in natural number order. When the above two formulas are satisfied at the same time, it is recognized that the corresponding retired battery module in the database has a volume and weight that meets the requirements of the installed vehicle model and can be used as the retired battery of this installed vehicle model. Therefore, the corresponding retired battery module is used as a retired battery module combination. There may be several retired battery module combinations corresponding to this installed vehicle model.

[0069] If the retired battery module corresponding to the retired battery module dataset of the installed vehicle model in S3 is deleted, the retired battery module dataset of this installed vehicle model is updated after recalculation.

[0070] The matching module receives the information of the vehicle model to be installed and matches the historical installed vehicle model information. If the match is successful, several retired battery module data sets of the installed vehicle model are retrieved, and the corresponding retired battery module combination is selected for installation; if the match is unsuccessful, retired battery modules whose volume and weight meet the requirements of the vehicle model to be installed are matched from the first array according to the installation data of the vehicle model to be installed, and the one-dimensional array corresponding to the retired battery modules is arranged in descending order according to the value of C therein to obtain the retired battery module data set of the vehicle model to be installed, and the corresponding retired battery module is selected for installation.

[0071] According to the total power of the motor of the vehicle model to be installed, the amount of electrical energy actually consumed per hour when the motor runs to generate the required torque, the total working operation time is determined, and the rated capacity value of the required battery is obtained. The retired battery module combination whose total actual capacity value matches the rated capacity value of the required battery is selected from the one-dimensional array of retired battery module combinations of the vehicle model to be installed, and the matching is completed.

[0072] If there is no retired battery module whose total actual capacity value matches the rated capacity value of the required battery in the one-dimensional array of the retired battery module combination of the vehicle model to be installed, matching cannot be performed.

[0073] In order to eliminate the above influence, you can start by trying an addressing mode that satisfies the formula by adding 1 in natural number sequence, and try to control it to 1.

[0074] A device for retired battery matching application comprises a processor and a memory, wherein the processor implements the retired battery matching application method when executing a computer program stored in the memory.

[0075] A computer-readable storage medium is used to store a computer program, and when the computer program is executed by a processor, the above-mentioned retired battery suitability detection method is implemented.

[0076] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A method for detecting the suitability of retired batteries, characterized in that: The steps include: S1. Perform a whole pack test on the retired batteries to obtain the shape A, weight B, and capacity value C of the retired battery modules in the retired battery pack, sort and store the obtained data, and prepare for the next step of centralized data calculation; S2. Performing unified calculation and analysis on the data of each group of retired battery modules with the same technical parameters; S3. According to the installation data of the big data model, several retired battery module combinations whose volume A, weight B and capacity C meet the requirements of the installed vehicle model are addressed and matched from the statistical array set, and the one-dimensional array corresponding to each retired battery module combination is arranged in descending order according to the value of capacity C therein to obtain the data set of retired battery modules, and the optimal data set is found by finding the pairing, and then the matching situation of the battery modules is analyzed, and finally assembled into a battery pack online; S4. Receive information about the vehicle model to be installed, and match it with information about the historically installed vehicle models. If the match is successful, retrieve the retired battery module data set of the installed vehicle model, and select the corresponding retired battery module for installation. If the match is unsuccessful, match retired battery modules whose volume and weight meet the requirements of the vehicle model to be installed from the first array according to the installation data of the vehicle model to be installed, arrange the one-dimensional array corresponding to the retired battery modules in descending order according to the value of capacity C therein, obtain the retired battery module data set of the vehicle model to be installed, and select the corresponding retired battery module for installation.

2. The method for detecting the suitability of retired batteries according to claim 1, characterized in that: In step S2, the calculation formula is as follows: P max =U min AND max (2) Q g =I 2 R t (3)。 3. The method for detecting the suitability of retired batteries according to claim 1, characterized in that: Step S4 includes the following steps: S41, if retired battery modules are added or deleted from the statistical big data model, the first array set is updated; S42, if the retired battery module corresponding to the retired battery module data set of the installed vehicle model in the statistical big data model is added or deleted, the retired battery module data set of the installed vehicle model is updated; S43. According to the installation data of the big data model in the statistical big data model, retired battery modules whose volumes and weights meet the requirements of the installed vehicle model are matched from the one-dimensional array of the first array set.

4. The method for detecting the suitability of retired batteries according to claim 3, characterized in that: In step S1, the actual capacity C of the battery is calculated according to the actual voltage data and the percentage of degradation of the battery module.

5. The method for detecting the suitability of retired batteries according to claim 4, characterized in that: The method described: In step S4, the total operating time is determined based on the total power of the motor of the vehicle to be installed and the amount of electrical energy actually consumed per hour when the motor runs to generate the required torque, and the rated capacity value of the required battery is obtained, and a predetermined number of retired battery modules whose total actual capacity values ​​match are selected from the one-dimensional array of the retired battery module data set of the vehicle to be installed.

6. The method for detecting the suitability of retired batteries according to claim 3, characterized in that: In the method described, in step S4, a predetermined number of retired battery modules with matching capacity C are selected from a one-dimensional array of retired battery module data sets of the vehicle model to be installed, wherein the predetermined number is determined by the volume and weight of the vehicle model to be installed.

7. A device for matching and applying retired batteries, using the retired battery applicability detection method according to any one of claims 1 to 6, characterized in that: include: Detection and creation array module: used to detect the entire package of retired batteries, obtain the volume A, weight B, and actual capacity value C of the retired battery module in the retired battery pack, and store them in a one-dimensional array to obtain {A, B, C}; Big data set creation and sorting module: used to organize the arrays of retired battery modules to be reused into basic array sets for quantitative and qualitative analysis; Retired battery module data set creation module: According to the battery pack installation data of the big data model, the retired battery modules whose volume A and weight B meet the requirements of the installed vehicle model are matched from the array set, and the one-dimensional array corresponding to the retired battery modules is arranged in descending order according to the value of capacity C therein to obtain the retired battery module data set of this installed vehicle model; Matching module: Receive the information of the vehicle model to be installed, match the information of the historically installed vehicle model, and if the match is successful, retrieve the retired battery module data set of the installed vehicle model and select the corresponding retired battery module for installation; If the matching is unsuccessful, according to the installation data of the vehicle model to be installed, the retired battery modules whose volume A and weight B meet the requirements of the vehicle model to be installed are matched from the first array set, and the parameter arrays corresponding to the retired battery modules are arranged in descending order according to the value of C, so as to obtain the retired battery module data set of the vehicle model to be installed, and the corresponding retired battery module is selected for installation.

8. The method for detecting the suitability of retired batteries according to claim 6, characterized in that: It also includes an update module for updating the first array collection of retired battery module data sets according to the addition or deletion of retired battery modules.

9. A device for matching retired batteries, characterized in that: The method comprises a processor and a memory, wherein the processor implements the method for detecting the suitability of retired batteries as described in any one of claims 1 to 6 when executing a computer program stored in the memory.

10. A computer-readable storage medium, characterized in that: Used to store a computer program, which, when executed by a processor, implements a method for detecting the suitability of retired batteries as described in any one of claims 1 to 6.

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