Battery state evaluation method, device and system and storage medium

Abstract

The invention relates to the field of batteries, and provides a battery state evaluation method, device and system and a storage medium. The method comprises the steps of determining a first parameter set according to historical operation data of batteries, and performing preliminary screening on a to-be-evaluated battery set according to the first parameter set to obtain a first battery set; detecting the first battery set to obtain a second parameter set; and scoring the batteries in the first battery set according to the first parameter set and the second parameter set. According to the method, the number of detected batteries is reduced through preliminary screening, the detection efficiency of the second parameter set is improved, the detection cost is reduced, the utilization echelon of the first battery set is determined based on the first parameter set and the second parameter set, and the battery detection precision is improved.

Description

Technical Field

[0001] The present application relates to the field of batteries, and in particular, to a method, device, system and storage medium for evaluating the state of a battery. Background Art

[0002] With the increase in the service life and usage intensity of electric vehicles, the performance of the power batteries in electric vehicles will gradually decline. When the power battery cannot meet the requirements of the power battery of the electric vehicle, the power battery will be retired from the electric vehicle. The requirements of power batteries are usually higher than those of batteries for degraded applications. For example, power batteries require higher energy density, higher power characteristics, a wider operating temperature range, etc.

[0003] After the power battery is retired, there are usually two application directions, namely material recycling and degraded utilization. Among them, material recycling refers to disassembling and recycling the power battery to obtain renewable materials such as cathode materials, metal materials, and even anode materials. The objects of material recycling are usually batteries that have decayed to a relatively low SOH (State of Health) level. For retired batteries with a relatively high SOH level, they can be used in a degraded manner, such as being degraded into energy storage batteries, low-speed power batteries, uninterruptible power supplies, power supplies for electric tools, etc. Through various detection means, the appearance, electrical performance, and even the internal structure of the battery are inspected to screen out battery packs, battery modules, or single cells that meet the usage conditions, and the batteries are used in a stepped manner.

[0004] When screening retired batteries, recycling stations usually follow the off-line detection method during the manufacture of new battery cells. The screening time is long, the cost is high, and the detection accuracy is low, which is not conducive to effectively determining the safety and health characteristics of the batteries. Summary of the Invention

[0005] In view of this, embodiments of the present application provide a method, device, system and storage medium for evaluating the state of a battery, so as to solve the problems in the prior art that when screening retired batteries, the screening time is long, the cost is high, and the detection accuracy is low, which is not conducive to effectively determining the safety and health characteristics of the batteries.

[0006] A first aspect of an embodiment of the present application provides a method for evaluating the state of a battery. The method includes: determining a first parameter set according to the historical operation data of the battery, and performing a preliminary screening on the battery set to be evaluated according to the first parameter set to obtain a first battery set; detecting the first battery set to obtain a second parameter set, and scoring the batteries in the first battery set according to the first parameter set and the second parameter set.

[0007] The batteries in the battery set to be evaluated are preliminarily screened by the first parameter set in the historical operation data of the batteries, which can efficiently and widely screen the batteries. After the first battery set is obtained by screening based on the historical operation data, the scores of the batteries in the first battery set are determined based on the first parameter set and the second parameter set. Since the preliminary screening reduces the number of batteries to be detected, it is beneficial to improve the detection efficiency of the second parameter set and reduce the detection cost. Determining the utilization echelon of the first battery set based on the first parameter set and the second parameter set is beneficial to improving the battery detection accuracy.

[0008] Combined with the first aspect, in the first possible implementation manner of the first aspect, after detecting the first battery set to obtain the second parameter set, the method further includes: screening the first battery set according to the second parameter set to obtain a second battery set; detecting the third parameter set of the second battery set, and screening the second battery set according to the third parameter set to obtain a third battery set, where the detection accuracy of the third parameter set is higher than that of the second parameter set; scoring the batteries in the third battery set according to the first parameter set, the second parameter set, and the third parameter set.

[0009] Screening the second battery set based on the second parameter set can achieve a more reliable screening of the batteries. By obtaining the third parameter set with higher detection accuracy and determining the scores of the batteries in the second battery set according to the first parameter set, the second parameter set, and the third parameter set, the accuracy of the scores of the batteries in the second battery set can be effectively improved.

[0010] Combined with the first possible implementation manner of the first aspect, in the second possible implementation manner of the first aspect, after scoring the batteries in the third battery set according to the first parameter set, the second parameter set, and the third parameter set, the method further includes: obtaining the utilization echelon to which the batteries in the third battery set belong according to the scores determined by the first parameter set, the second parameter set, and the third parameter set; grouping and using two or more batteries according to the performance parameters of the batteries in the third battery set belonging to the same utilization echelon.

[0011] Based on the determined scores, the utilization echelons of the batteries in the third battery set are divided, so that the batteries with scores belonging to the same set score range are divided into the same group. During the operation of the batteries, since the performance scores of the batteries in the same group are relatively close, the use state of the batteries can be controlled more effectively, including the control of charging and discharging parameters, so that the performance of the batteries can be utilized more fully.

[0012] Combined with the first aspect or the first possible implementation manner of the first aspect, in the first possible implementation manner of the first aspect, after screening the first battery set according to the second parameter set to obtain a second battery set, the method further includes: obtaining the utilization echelon to which the batteries in the second battery set belong according to the score determined by the first parameter set and the second parameter set; and grouping and using two or more batteries according to the performance parameters of the batteries in the second battery set belonging to the same utilization echelon.

[0013] When determining the second parameter set, parameter collection can be performed based on one or several predetermined states, thereby effectively improving the detection efficiency of the second parameter set. For example, the second parameter set may include the pressure difference information of the battery, and / or the characteristic peak positions of the battery in a predetermined temperature range and a predetermined state of charge range. Since the collection efficiency of the first parameter set and the second parameter set is higher than that of the battery process parameters, the battery can be scored more efficiently. Based on the score determined by the first parameter set and the second parameter set, the battery can be grouped more efficiently.

[0014] Combined with the first possible implementation manner to the third possible implementation manner of the first aspect, in the fourth possible implementation manner of the first aspect, after detecting the third parameter set of the second battery set, the method further includes: updating the screening parameters for preliminarily screening the battery set to be evaluated, and / or the screening parameters for screening the first battery set according to the third parameter set.

[0015] When obtaining the third parameter set, a detection method with higher precision can be adopted. For example, parameter collection can be performed based on the state change process of the battery. For example, parameter collection can be performed based on the battery charging process and the discharging process to obtain a third parameter set with higher precision, including, for example. According to the collected third parameter set, it may include one or more of the highest voltage, the lowest voltage, the maximum discharge depth, and the maximum charging current of the battery. Based on the third parameter set of the battery, the score of the battery can be recalculated, and the screening parameters of the second battery set can be updated in combination with the difference between the scores calculated by the second parameter set, and the screening parameters of the first battery set can be updated. For example, the screening parameters can be adjusted based on the difference between the score calculated by the third parameter set, the score calculated by the second parameter, the score calculated by the first parameter set, and the score calculated by the first parameter set and the second parameter set, including adjusting the weight coefficients of different parameters used for calculating the score, or adjusting the network model used for calculating the score, so that the accuracy of the score calculated by the first parameter set, the score calculated by the second parameter set, and the score calculated by the first parameter set and the second parameter set is higher, so that the score of the battery can be obtained quickly and accurately based on the first parameter set and / or the second parameter set.

[0016] Combined with the first to fourth possible implementation manners of the first aspect, in the fifth possible implementation manner of the first aspect, when the battery set to be evaluated is preliminarily screened according to the first parameter set to obtain a first battery set, or the first battery set is screened according to the second parameter set to obtain a second battery set, or the second battery set is screened according to the third parameter set to obtain a third battery set, the method further includes: when it is detected that a battery does not meet the conditions for cascade utilization, disassembling the battery to obtain disassembly parameters of the battery; and updating the screening parameters for screening the battery according to the disassembly parameters.

[0017] For batteries that do not meet the conditions for cascade utilization, the battery materials can be reused by means of disassembly and recycling. When disassembling and utilizing, performance parameters of the battery can be obtained, including analyzing images of the negative electrode material to obtain parameters such as the amount of lithium plating in a lithium battery that can reflect the battery performance. Calculate the score of the battery based on the disassembly parameters obtained from the disassembly. Based on this score, the screening parameters can be further adjusted and optimized, including adjusting the weight coefficients of different parameters used for calculating the score, or adjusting the network model used for calculating the score, so as to make the scores calculated based on the first parameter set, the accuracy of the scores calculated based on the second parameter set, and the accuracy of the scores calculated based on the first parameter set and the second parameter set higher.

[0018] Combined with the first to fifth possible implementation manners of the first aspect, in the sixth possible implementation manner of the first aspect, after scoring the batteries in the first battery set according to the first parameter set and the second parameter set, the method further includes: determining the utilization level of the battery according to the score, and determining the working parameters of the battery at the utilization level to which the battery belongs according to the first parameter set and the second parameter set.

[0019] Since the parameters of the battery may also be different when the battery is degraded. To improve the stability and reliability of the battery during operation, further limit the working parameters of the battery at the corresponding utilization level according to the first parameter set, the second parameter set, and the third parameter set, so that within the range of the set working parameters of the battery, the safety of battery use is improved.

[0020] Combined with the first aspect to the sixth possible implementation manner of the first aspect, in the seventh possible implementation manner of the first aspect, a first parameter set is determined according to the historical operation data of the battery, and the battery set to be evaluated is preliminarily screened according to the first parameter set to obtain a first battery set, including: obtaining the historical fault information and / or the first health level in the historical operation data of the batteries in the battery set to be evaluated; determining the first parameter set according to the historical fault information and / or the first health level; inputting the first parameter set into a preset first battery scoring model to obtain the first score of the battery; and preliminarily screening the battery according to the first score to obtain the first battery set.

[0021] When determining the first battery set, a pre-trained first battery scoring model can be used. The historical fault information and / or the first health level are input into the first battery scoring model, and the first score of the batteries in the battery set to be evaluated is calculated based on the first battery scoring model. According to the set first screening threshold, the first battery set is screened. The historical fault information may include the recorded information of the faults that occur during the use of the battery, including the damage information to the battery during the fault, and the quantified historical fault information can be obtained based on a predetermined quantization rule. Among them, the first health level can be calculated based on the historical fault information and the historical operation data.

[0022] Combined with the first aspect to the sixth possible implementation manner of the first aspect, in the eighth possible implementation manner of the first aspect, a first parameter set is determined according to the historical operation data of the battery, and the battery to be evaluated is preliminarily screened according to the first parameter set to obtain a first battery set, including: determining the first health level of the battery according to the historical operation data of the battery; comparing the health state of the battery with a preset health threshold, and screening to obtain the first battery set.

[0023] When screening to obtain the first battery set, the first health level of the battery can also be determined based on the historical operation data. For example, the first health level for screening comparison can be determined based on a trained health state scoring model or an optimized health state calculation formula. The first health level is compared with the preset health threshold, the first battery set with a value greater than the health threshold is screened, and the batteries with a value less than the health threshold are screened out for disassembly and recycling.

[0024] Combined with the first aspect to the eighth possible implementation manner of the first aspect, in the ninth possible implementation manner of the first aspect, the first battery set is detected to obtain a second parameter set, including: obtaining the battery impedance spectrum in the first battery set through a preset detection condition; determining the characteristic peak information of the first battery set according to the battery impedance spectrum; and determining the second health level of the batteries in the first battery set according to the characteristic peak information of the first battery set.

[0025] When determining the second parameter set, the second health level may be included, or the position information of the characteristic peaks of the battery impedance spectrum may also be included. The differential pressure information of the batteries in the first battery set can be detected. The differential pressure information of the batteries can be used as an important indicator to judge the battery performance, and the differential pressure information between the batteries can be determined according to the current and battery internal resistance after different batteries are associated. When determining the position of the characteristic peaks of the battery, the battery can be set within a predetermined temperature range, and the state of charge of the battery is within a reasonable state of charge range. The electrochemical impedance spectrum of the battery can be measured by an EIS (full name in Chinese: Electrochemical Impedance Spectroscopy, full name in English: Electrochemical Impedance Spectroscopy) battery impedance spectrum detection tool to determine the position of the characteristic peaks of the battery, or the second health level of the battery can also be determined by statistical or computational methods based on the position of the characteristic peaks.

[0026] Combined with the first aspect to the tenth possible implementation manner of the first aspect, in the eleventh possible implementation manner of the first aspect, scoring the batteries in the first battery set according to the first parameter set and the second parameter set includes: inputting the first parameter set and the second parameter set into a pre-trained second battery scoring model, and calculating the scores of the batteries in the first battery set.

[0027] The scores corresponding to the first parameter set and the second parameter set can be calculated based on a pre-trained second battery scoring model. During the use of the second battery scoring model, the parameters of the second battery scoring model can be optimized according to the detection results of the third parameter set, so as to improve the accuracy of the model.

[0028] Combined with the first possible implementation manner to the eleventh possible implementation manner of the first aspect, in the twelfth possible implementation manner of the first aspect, when detecting the third parameter set of the second battery set, the method includes: sampling in the second battery set according to a predetermined sampling ratio, and detecting the third parameter set of the sampled samples.

[0029] In order to improve the detection accuracy of the second battery set while improving the detection efficiency, when detecting the second battery set, the batteries in the second battery set are sampled by a predetermined sampling ratio, so as to obtain the third parameter set more efficiently and improve the battery scoring efficiency.

[0030] In the second aspect of the embodiments of the present application, a battery state evaluation system is provided. The battery state evaluation system includes a server, a client, and a detection device. The server is configured to obtain historical operation data of a battery and send the historical operation data and a battery scoring model to the client. The client is configured to receive the historical operation parameters sent by the server to determine a first parameter set, preliminarily screen a battery to be evaluated according to the first parameter set to obtain a first battery set, send a parameter acquisition instruction to the detection device according to a second parameter set required by the battery scoring model, and receive the collected second parameter set. According to the first parameter set and the second parameter set, and in combination with the battery scoring model downloaded by the server, the first battery set is scored. The detection device is configured to collect parameters according to the parameter acquisition instruction of the client and send them to the client.

[0031] Combined with the second aspect, in the first possible implementation manner of the second aspect, the client is further configured to screen the first battery set according to the second parameter set to obtain a second battery set, send an acquisition instruction for obtaining a third parameter set of the second battery set to the detection device, screen the second battery set according to the third parameter set returned by the detection device to obtain a third battery set, and determine the score of the third battery set according to the first parameter set, the second parameter set, and the third parameter set, in combination with the battery scoring model downloaded by the server, where the detection accuracy of the third parameter set is higher than that of the second parameter set.

[0032] Combined with the first possible implementation manner of the second aspect, in the second possible implementation manner of the second aspect, the client is further configured to send the third parameter set to the server, and the server is configured to update the parameters of the battery scoring model stored in the server according to the third parameter set.

[0033] In the third aspect of the embodiments of the present application, a battery state evaluation device is provided. The device includes: a first screening unit configured to determine a first parameter set according to historical operation data of a battery, and preliminarily screen a battery set to be evaluated according to the first parameter set to obtain a first battery set; a first battery set detection unit configured to detect a second parameter set of the first battery set; and a first scoring unit configured to determine the score of the battery in the first battery set according to the first parameter set and the second parameter set.

[0034] In combination with the third aspect, in the first possible implementation manner of the third aspect, the device includes: a second screening unit, configured to screen the first battery set according to the second parameter set to obtain a second battery set; a third screening unit, configured to detect a third parameter set of the second battery set, and screen the second battery set according to the third parameter set to obtain a third battery set, wherein the detection accuracy of the third parameter set is higher than that of the second parameter set; and a second scoring unit, configured to score the batteries in the third battery set according to the first parameter set, the second parameter set, and the third parameter set.

[0035] In combination with the first possible implementation manner of the third aspect, in the second possible implementation manner of the third aspect, the device includes: a first utilization echelon determination unit, configured to obtain the utilization echelon to which the batteries in the third battery set belong according to the scores determined by the first parameter set, the second parameter set, and the third parameter set; and a first grouping unit, configured to group and use two or more batteries according to the performance parameters of the batteries in the third battery set belonging to the same utilization echelon.

[0036] In combination with the third aspect or the first possible implementation manner of the third aspect, in the third possible implementation manner of the third aspect, the device further includes: a second utilization echelon determination unit, configured to obtain the utilization echelon to which the batteries in the second battery set belong according to the scores determined by the first parameter set and the second parameter set; and a second grouping unit, configured to group and use two or more batteries according to the performance parameters of the batteries in the second battery set belonging to the same utilization echelon.

[0037] In combination with the first possible implementation manner to the third possible implementation manner of the third aspect, in the fourth possible implementation manner of the third aspect, the device further includes: a first parameter update unit, configured to update the screening parameters for preliminarily screening the battery set to be evaluated and / or the screening parameters for screening the first battery set according to the third parameter set.

[0038] In combination with the first possible implementation manner to the fourth possible implementation manner of the third aspect, in the fifth possible implementation manner of the third aspect, the device further includes: a disassembly parameter acquisition unit, configured to perform disassembly processing on the battery when it is detected that the battery does not meet the conditions for echelon utilization, and acquire the disassembly parameters of the battery; and a second parameter update unit, configured to update the screening parameters for screening the battery according to the disassembly parameters.

[0039] Combined with the fifth possible implementation manner of the third aspect to the third aspect, in the sixth possible implementation manner of the third aspect, the device further includes: a working parameter determination unit, configured to determine the utilization echelon of the battery according to the score, and determine the working parameters of the battery at the utilization echelon to which the battery belongs according to the first parameter set and the second parameter set.

[0040] Combined with any one of the sixth possible implementation manners of the third aspect to the third aspect, in the seventh possible implementation manner of the third aspect, the first screening unit includes: a data acquisition subunit, configured to acquire historical fault information and / or a first health level in the historical operation data of the batteries in the battery set to be evaluated; a first parameter set determination subunit, configured to determine the first parameter set according to the historical fault information and / or the first health level; a score determination subunit, configured to input the first parameter set into a preset first battery scoring model to obtain a first score of the battery; and a battery screening subunit, configured to perform a preliminary screening on the battery according to the first score to obtain a first battery set.

[0041] Combined with the sixth possible implementation manner of the third aspect to the third aspect, in the eighth possible implementation manner of the third aspect, the first screening unit includes: a first health level determination subunit, configured to determine a first health level of the battery according to the historical operation data of the battery; and a comparison and screening subunit, configured to compare the health state of the battery with a preset health threshold to screen and obtain a first battery set.

[0042] Combined with the eighth possible implementation manner of the third aspect to the third aspect, in the ninth possible implementation manner of the third aspect, the first battery set detection unit includes: a battery impedance spectrum detection subunit, configured to obtain a battery impedance spectrum of the batteries in the first battery set through preset detection conditions; a characteristic peak information determination subunit, configured to determine characteristic peak information of the first battery set according to the battery impedance spectrum; and a second health level determination subunit, configured to determine a second health level of the batteries in the first battery set according to the characteristic peak information of the first battery set.

[0043] Combined with the ninth possible implementation manner of the third aspect to the third aspect, in the tenth possible implementation manner of the third aspect, the first battery set detection unit includes: a differential pressure information detection subunit, configured to detect differential pressure information of the batteries in the first battery set; and a second parameter set determination subunit, configured to determine a second parameter set of the battery according to the differential pressure information of the battery, where the second parameter set includes at least one of a reaction rate of the battery, a battery capacity, and a battery life.

[0044] Combined with the tenth possible implementation manner of the third aspect to the third aspect, in the eleventh possible implementation manner of the third aspect, the first scoring unit is configured to input the first parameter set and the second parameter set into a pre-trained second battery scoring model, and calculate the scores of the batteries in the first battery set.

[0045] Combined with the first possible implementation manner of the third aspect to the eleventh possible implementation manner of the third aspect, in the twelfth possible implementation manner of the third aspect, the third screening unit is configured to perform sample extraction in the second battery set according to a predetermined sampling ratio, and detect the third parameter set of the extracted samples.

[0046] A fourth aspect of the embodiments of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method according to any one of the first aspect are implemented.

[0047] A fifth aspect of the embodiments of the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of the first aspect are implemented.

[0048] It can be understood that the beneficial effects of the above second aspect to the fifth aspect can be referred to the relevant descriptions of the first aspect above, and will not be elaborated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0050] Figure 1 It is a schematic diagram of an implementation scenario of a battery state evaluation method provided by an embodiment of the present application;

[0051] Figure 2 It is a schematic diagram of an implementation process of a battery state evaluation method provided by an embodiment of the present application;

[0052] Figure 3 It is a schematic diagram of an implementation process of a method for determining a first battery set provided by an embodiment of the present application;

[0053] Figure 4 It is a schematic diagram of an implementation process of a precise measurement method provided by an embodiment of the present application;

[0054] Figure 5It is a schematic flowchart of the implementation of a battery state evaluation method provided by an embodiment of the present application;

[0055] Figure 6 It is a schematic diagram of a screening characteristic curve of a battery state evaluation process provided by an embodiment of the present application;

[0056] Figure 7 It is a schematic diagram of a battery state evaluation device provided by an embodiment of the present application;

[0057] Figure 8 It is a schematic diagram of a battery state evaluation system provided by an embodiment of the present application. Detailed implementation manners

[0058] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0059] In order to illustrate the technical solutions described in the present application, the following will be described through specific embodiments.

[0060] With the development of the electric vehicle industry, the number of electric vehicles is increasing. The number of retired batteries with degraded power batteries of electric vehicles is also increasing. Since the requirements for power batteries are usually higher than those for batteries used in degraded applications, after the power batteries are retired, they can be degraded and used in other application scenarios, such as being degraded into energy storage batteries, low-speed power batteries, uninterruptible power supplies, or power supplies for electric tools. Or the power batteries can also be disassembled and recycled to recover recycled materials such as cathode materials and metal materials in the power batteries.

[0061] When the power battery is degraded and used in other application scenarios, the recycling site usually follows the off-line detection method during the manufacture of new battery cells. The entire screening process takes a long time, has a high cost, and has a low detection accuracy, which is not conducive to effectively determining the safety and health characteristics of the battery.

[0062] Based on this, the embodiments of the present application propose a screening method for the cascade utilization of batteries. The method combines the historical operation data of the cloud platform to preliminarily screen the batteries to obtain a first battery set, detects the second parameter set of the first battery set, and determines the utilization level of the first battery set through the first parameter set and the second parameter set. While reducing the calculation amount of the cascade utilization of the batteries, the screening duration of the batteries is improved, and the screening accuracy of the batteries is increased.

[0063] Figure 1This is a schematic diagram of the implementation scenario of a battery state evaluation method provided by an embodiment of the present application. As Figure 1 shown, this implementation scenario includes a server 11 and a client 12. Among them, the server 11 is provided with a variety of different battery screening models 110, including electrochemical models, machine learning models, etc., for the preliminary screening, scoring, etc. of batteries. The server 11 can be used to obtain the historical operation data of power batteries during the use of electric vehicles, and obtain the detection data of the batteries at the client 12. The model 110 in the server 11 can be iteratively updated through the detection data of the batteries. The server 11 or the client 12 can perform a preliminary screening on the batteries according to the historical operation data of the batteries, combined with the health level of the batteries, to obtain the first battery set.

[0064] The client 12 may include multiple detection devices 120. The edge side can upload the data detected by the detection devices 120 to the server 11, so that the server 11 can iteratively update the model 110 of the server 11 according to the uploaded data. The client 12 can receive the model 110 sent by the server 11, combine the detection data obtained by the detection devices 120, calculate the score of the battery, and determine the utilization echelon to which the battery belongs. The client 12 can also receive deployment component support tools such as the task management tool 121 and the operation framework 122 sent by the server 11 to quickly access various different detection devices 120.

[0065] Among them, the battery scoring models sent by the server 11 may include a first battery scoring model, a second battery scoring model, and a third battery scoring model. The first battery scoring model can calculate the score of the battery according to the first parameter set, and the second battery scoring model can calculate the score of the battery based on the first parameter set and the second parameter set. The third battery scoring model can determine the score of the battery based on the first parameter set, the second parameter set, and the third parameter set. The client can send a detection instruction to the detection device 120 according to the second parameter set required by the battery scoring model, or the second parameter set and the third parameter set. The detection device 120 collects the corresponding parameters based on the detection instruction. The client transmits the collected third parameter set to the server to update the parameters of the first scoring model and the second scoring model in the server.

[0066] Figure 2 This is a schematic diagram of the implementation process of a battery state evaluation method provided by an embodiment of the present application, which is described in detail as follows:

[0067] In S201, a first parameter set is determined according to the historical operation data of the battery, and the battery set to be evaluated is preliminarily screened according to the first parameter set to obtain the first battery set.

[0068] The battery in the embodiments of the present application may include batteries used in products with high requirements for batteries, such as products with high requirements for the energy density, power characteristics, or operating temperature range of the battery, including electric vehicles using power batteries, etc.

[0069] The historical operation data in the embodiments of the present application may include the operation data of the battery when meeting high requirements. For example, the operation data of the power battery during the process of providing electrical energy for an electric vehicle. The historical operation data may include operation data for evaluating the fault state of the battery and the health level of the battery. The fault state includes states such as the battery being in a thermal runaway state, internal short circuit state, external short circuit state, battery case damage, battery water ingress, etc. The operation data of the thermal runaway state includes parameters such as the maximum temperature, temperature rise rate, battery volume, etc. The operation data of the internal short circuit or external short circuit of the battery may include parameters such as the magnitude of the short-circuit current, short-circuit duration, short-circuit battery temperature, etc. The battery case damage data may include the location of the battery case damage, the type of damage, etc. For example, the type of damage may include thermal expansion damage, collision damage, etc. The battery water ingress data may include the duration of water ingress, the type of water ingress, etc. The type of water ingress may include soaking water ingress, moisture ingress, etc. The first parameter set in the historical operation data includes data of different fault states. The first parameter set can be continuously increased and improved during use.

[0070] The first health level of the battery can be determined based on the real-time electrical parameters uploaded by the battery, including parameters such as the battery capacity value. For example, the ratio of the real-time capacity to the standard capacity of the battery can be calculated by combining the real-time capacity uploaded by the battery with the pre-set standard capacity of the battery. This ratio is the attenuation rate of the battery, and the health level of the battery can be represented by the attenuation rate of the battery.

[0071] Alternatively, the first health level of the battery can also be determined according to the historical fault information and / or battery data in the historical operation data. The fault records in the historical operation data can be quantified, such as quantifying information such as the degree of battery collision and heat generation. Based on the quantified fault records, combined with the measured historical operation parameters, including parameters such as battery capacity and voltage, the first health level of the battery can be comprehensively determined.

[0072] In the embodiments of the present application, the historical operation data of the battery can be obtained by uploading through the battery management system, or the historical operation data of the battery can also be obtained through the battery management platform.

[0073] The first battery set is composed of power batteries that have passed preliminary screening and can be used for degraded use. The batteries filtered out during the screening may include batteries that can be used as normal power batteries and batteries whose health status does not meet the requirements for degraded use. For example, if a battery has a short circuit fault, causing the battery to expand in volume and the battery can no longer be used normally, then this battery will be filtered out.

[0074] The process of obtaining the first battery set through preliminary screening based on the first parameter set of the battery can be as Figure 3 shown and includes:

[0075] In S301, obtain the historical fault information and / or the first health level in the historical operation data of the batteries in the battery set to be evaluated.

[0076] During the operation of the battery, different batteries may have different types of faults. For example, some batteries may have an internal short circuit fault, some batteries have no faults, and some batteries have both an internal short circuit fault and a battery case damage fault. The historical fault information can be quantitatively processed to obtain fault data that can be used for calculation.

[0077] The first health level can be determined based on the electrical parameters of the battery, or can be jointly determined based on the fault data and electrical parameters of the battery.

[0078] In S302, determine the first parameter set according to the historical fault information and / or the first health level.

[0079] Based on the quantization parameters corresponding to the determined historical fault information, combined with the determined first health level, the first parameter set used for screening and calculating the first battery set can be determined.

[0080] In a possible implementation, the first parameter set may also include parameters for calculating the first health level, including the electrical parameters of the battery, etc.

[0081] In S303, input the first parameter set into a preset first battery scoring model to obtain the first score of the battery.

[0082] According to the pre-set correspondence between the fault type and the parameters, the relevant parameters required for scoring the battery can be determined as the first parameter set of the battery. Since the fault records of different batteries are different, the first parameter sets corresponding to different batteries may also be different. The first parameter set corresponding to the battery can be determined according to the type of fault record in the historical operation record.

[0083] For example, according to the fault records of the battery to be screened, where the recorded fault type is battery thermal runaway, it is determined that the first parameter set corresponding to the battery to be screened includes parameters such as the maximum temperature, temperature rise rate, and battery volume.

[0084] Based on the recorded fault type of the battery, the first parameter set corresponding to the battery can be determined. Based on the parameter values in the first parameter set, it can be used to record the severity of the fault type. For example, in the first parameter set determined according to the fault type of battery thermal runaway, the larger the parameter value of the maximum temperature parameter, the more severe the fault. The larger the parameter value of the temperature rise rate parameter, the more severe the fault may be. The greater the change in the battery volume, such as the greater the change in the expanded battery volume relative to the standard battery volume, the more severe the fault.

[0085] The first parameter set and the first health level of the battery can be input into the first scoring model determined by the cloud, and the first score of the battery can be calculated through the first scoring model.

[0086] For example, for the i-th battery, the first parameter set determined according to the fault type includes parameters such as F1i, F2i, F3i, F4i, etc., and the health level of battery i is SOHi. The historical data score SAi can be expressed as:

[0087] SA i =f(F1 i ,F2 i ,F3 i ,F4 i ,…SOH i )

[0088] where f() represents the first scoring model.

[0089] Among them, the first scoring model can be preset in the cloud. During use, the detection data at the edge is compared with the calculation result of the first scoring model, and the first scoring model is updated according to the difference between the two. Since the detection data obtained by the detection equipment at the edge can include parameters based on the refined charge and discharge process, and its detection accuracy is higher. Therefore, the difference between the score of the battery determined by the detection data obtained at the edge and the score of the battery determined by the first scoring model can be used to feedback the accuracy deviation of the first scoring model. Based on this accuracy deviation, the first scoring model in the cloud is iteratively updated, which can effectively improve the calculation accuracy of the first scoring model.

[0090] In a possible implementation, it is also possible to compare based on the first health level in combination with a preset health threshold. When the first health level of the battery is higher than the health threshold, it is determined that the battery belongs to the first battery set. If the first health level is lower than the health threshold, the battery can be disassembled and recycled.

[0091] For batteries to be disassembled and recycled, during disassembly and recycling, the batteries can be detected to obtain disassembly parameters of the batteries, and the screening parameters of the batteries can be updated based on the disassembly parameters. For example, the disassembly parameters can include parameters reflecting battery performance such as the amount of lithium plating of the battery obtained by means of image detection and the like. Calculate the score of the battery based on the disassembly parameters obtained from disassembly, and the screening parameters can be further adjusted and optimized based on this score.

[0092] In S304, the batteries are preliminarily screened according to the first score to obtain a first battery set.

[0093] After determining the first score according to the first parameter set of the battery, the full set of batteries can be screened in combination with a preset screening threshold.

[0094] Among them, the screening threshold can include a first threshold and a second threshold, and the first threshold is less than the second threshold. When the first score of the battery is less than the first threshold, the battery can be filtered out. For example, when the health level of the battery is significantly low and the determined first score is less than the first threshold, the battery can be selected and can be used for battery recycling. When the historical data score of the battery is greater than the second threshold, it means that the current state of the battery can still meet the requirements of power batteries, and the battery does not need to be degraded for use.

[0095] In S202, the first battery set is detected to obtain a second parameter set.

[0096] Among them, the second parameter set can include parameters determined by battery voltage difference information and / or characteristic peak information of the impedance spectrum of the battery. For example, the second parameter set can include at least one of the reaction rate, battery capacity, and battery life of the battery determined by battery voltage difference information, or include characteristic peak information of the impedance spectrum of the first battery set detected under preset conditions, the second health level determined based on the characteristic peak information, or can also be information such as the position of the characteristic peak of the impedance spectrum of the batteries in the first battery set.

[0097] The voltage difference information of the batteries in the first battery set can be detected. The voltage difference information of the battery can be used as an important indicator to judge the battery performance, and the voltage difference information between the batteries can be determined according to the current and battery internal resistance after different batteries are associated. When determining the position of the characteristic peak of the battery, the battery can be set within a predetermined temperature range, and the state of charge of the battery is within a reasonable state of charge range. The electrochemical impedance spectrum of the battery can be measured by an EIS (fully known as Electrochemical Impedance Spectroscopy in Chinese and Electrochemical Impedance Spectroscopy in English) battery impedance spectrum detection tool to determine the position of the characteristic peak of the battery, or the second health level of the battery can also be determined by statistical or computational means based on the position of the characteristic peak.

[0098] In S203, determine the scores of the batteries in the first battery set according to the first parameter set and the second parameter set.

[0099] Perform a preliminary screening on all batteries based on historical operation data, and screen out the batteries that meet the downgrading requirements to obtain the first battery set. Since the batteries that meet the downgrading requirements can still include various different requirements, such as being used as energy storage batteries, low-speed power batteries, uninterruptible power supplies, or power supplies for electric tools, etc.

[0100] In a possible implementation manner, different downgrading application scenarios, that is, requirements for different utilization echelons, can be set. When determining the utilization echelon corresponding to the first battery set, the utilization echelon to which the battery belongs can be determined based on the second battery scoring model that has been trained and obtained from the cloud.

[0101] For example, the first parameter set and the second parameter set can be input into the trained second battery scoring model, and the scores of the batteries can be output according to the second battery scoring model. The second battery scoring model can be pre-set in the cloud, and different battery types can correspond to different second battery scoring models.

[0102] During the battery screening process, calculate the scores through the second battery scoring model. Based on the corresponding relationship between the score range and the utilization echelon, and combined with the score range to which the score belongs, the utilization echelon to which the battery belongs can be obtained. Alternatively, the scores corresponding to the first parameter set and the second parameter set can also be calculated through models such as a random forest model, a support vector machine model, and a linear regression model.

[0103] In a possible implementation manner, the process data of the current during operation can be collected through a standard test method to determine the third parameter set of the battery. Determine the score of the battery based on the high-precision third parameter set, compare the score determined by the third parameter set with the scores determined by the first scoring model and / or the second scoring model, and update the parameters of the first scoring model and the second scoring model according to the difference between the two. Continuously updating the first scoring model and the second scoring model with the data during the screening process is beneficial to improving the accuracy of battery scoring.

[0104] In possible implementations, to improve the battery detection efficiency, the parameters in the second parameter set can be selected as those with higher detection efficiency, i.e., parameters that can be quickly detected, including parameters that can be detected based on the states of one or several batteries. Since the second parameter set can be collected based on a small number of states, compared with the third parameter set collected during the complete charge-discharge process, the acquisition efficiency of the second parameter set is higher than that of the third parameter set. Generally, the accuracy of the third parameter set is higher than that of the second parameter set. In possible implementations, the parameters in the second parameter set can include the pressure difference information of the battery and / or the characteristic peak positions of the impedance spectrum of the battery.

[0105] When determining the pressure difference information between any two batteries, the two batteries can be connected in parallel, and the pressure difference information of the batteries can be determined according to the current after parallel connection, the voltage of the batteries, and the internal resistance of the batteries. It can be expressed by the formula: ΔV = (Va - Vb) / 2 + (Ra - Rb)*I, where I is the current after the two groups of batteries are connected in parallel, Ra and Rb are the internal resistances of the two batteries respectively, and Va and Vb are the voltages of the two batteries respectively. When I is 0, the pressure difference information ΔV is the difference between Va and Vb. When I is not 0, ΔV is also affected by the internal resistances Ra and Rb of the two groups of batteries.

[0106] When determining the characteristic peak position of the battery, the battery can be adjusted to an appropriate test temperature and state of charge, and then the impedance spectrum of the battery can be detected by an EIS battery impedance spectrum detection tool to determine the characteristic peak position of the battery.

[0107] When determining the test temperature, the test temperature can be any temperature in the range of 3 - 35 degrees Celsius, such as 10 degrees Celsius, 15 degrees Celsius, 20 degrees Celsius, 25 degrees Celsius, etc. The state of charge can be any value from 4% to 96%, such as state of charge values of 5%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 95%, etc.

[0108] In possible implementations, the second score can be calculated based on the first parameter set and the second parameter set. Based on the second score, in combination with the pre-set correspondence between the utilization echelon and the score range, the utilization echelon to which the first battery set belongs can be determined. For example, the utilization echelon corresponding to the second score calculated from the first parameter set and the second parameter set can be calculated through a second scoring model set in the cloud.

[0109] It can be understood that the second scoring model can also be updated according to high-precision detection parameters. For example, the second scoring model can be updated based on the third parameter set collected during the charge-discharge process of the battery. The score of the battery can be determined according to the high-precision third parameter set, and the parameters of the second scoring model and / or the parameters of the first scoring model can be updated according to the score.

[0110] In a possible implementation manner, the embodiment of the present application may further include a process of obtaining a third parameter set, as Figure 4 shown, the process includes:

[0111] In S401, the first battery set is screened according to the second parameter set to obtain a second battery set.

[0112] When screening the second battery set based on the second parameter set, the first parameter set and the second parameter set may be input into a pre-determined second battery scoring model, and the batteries that fail to meet any utilization echelon are screened out to obtain the second battery set.

[0113] Alternatively, based on the first parameter set and the second parameter set, the second score of the battery may be calculated through the second battery scoring model. According to the second score, combined with the score range corresponding to different utilization echelons, the batteries that fail to meet any utilization echelon are screened out to obtain the second battery set. For the batteries screened out using the second score, they can be used for battery disassembly and recycling. The disassembly parameters obtained during the disassembly process can be used to update the second battery scoring model and / or the first battery scoring model for parameter update and optimization.

[0114] In S402, the third parameter set of the second battery set is detected, and the second battery set is screened according to the third parameter set to obtain a third battery set, and the detection accuracy of the third parameter set is higher than that of the second parameter set.

[0115] In order to further perform refined screening on the echelons of the batteries, parameter detection can be performed based on the battery charging and discharging process to obtain a third parameter set with higher detection accuracy, so as to obtain a more accurate scoring structure and a more accurate echelon screening result.

[0116] The detection accuracy of the third parameter set is higher than that of the second parameter set. Correspondingly, the detection duration of the third parameter set is usually also longer than that of the second parameter set.

[0117] The third parameter set may include parameters of the battery determined by using a standard test method based on the battery charging and discharging process, including parameters such as the calibrated battery capacity and battery voltage. The first scoring model, the second scoring model, or the correspondence between the utilization echelon and the score range can be updated based on the high-precision third parameter set determined by the standard test method.

[0118] In order to obtain a high-precision third parameter set while improving the battery screening efficiency, the batteries in the second battery set can be extracted according to a predetermined sampling ratio, and the third parameter set of the extracted batteries is detected.

[0119] In S403, score the batteries in the third battery set according to the first parameter set, the second parameter set, and the third parameter set.

[0120] The first parameter set, the second parameter set, and the third parameter set can be input into a pre-trained third scoring model, and a comprehensive score can be calculated based on the third scoring model. According to a preset scoring threshold and in combination with the comprehensive score of the battery, determine the utilization echelon to which the battery belongs. Among them, the first scoring model, the second scoring model, and the third scoring model can set corresponding thresholds respectively for screening the utilization echelons of the batteries.

[0121] Alternatively, when determining the utilization echelon of the third battery set based on the first parameter set, the second parameter set, and the third parameter set, the first parameter set, the second parameter set, and the third parameter set can be input into a pre-trained echelon decision model, and the utilization echelon to which the battery belongs can be output according to the echelon decision model.

[0122] After determining the utilization echelon to which the battery belongs, in order to enable the battery to operate safely and reliably, the batteries can be grouped according to the scores of the batteries. Select batteries with similar scores of the parameters to form a group, so as to control the consistency of the batteries as much as possible and improve the usage performance of the batteries.

[0123] In the embodiments of the present application, when determining the score of the battery, the calculation can be based on the first parameter set, the second parameter set, and the third parameter set. Since the accuracy of the third parameter set is relatively high, the accuracy of the calculated score can be effectively improved, and thus the utilization echelon of the battery can be obtained more accurately.

[0124] Alternatively, the score of the battery can also be calculated based on the first parameter set and the second parameter set. Since the second parameter set has the characteristics of high detection efficiency, it can be adapted to the detection work of the utilization echelons of a large number of batteries.

[0125] The batteries screened based on the first parameter set, the second parameter set, and / or the third parameter set can all be used for disassembly and recycling. Based on the obtained disassembly parameters, they can all be used to update and optimize the scoring calculation model of the battery.

[0126] In a possible implementation, the working parameters of the battery can also be determined according to the first parameter set, the second parameter set, and the third parameter set of the screened battery in combination with the working parameter prediction model. The working parameters of the battery can include one or more of the highest voltage, the lowest voltage, the maximum discharge depth, and the maximum charging current. Based on the preset working parameters of the battery, an adapted control strategy is adopted during the operation of the battery to improve the safety and reliability of the battery usage.

[0127] In a possible implementation, the working parameter prediction model can be iteratively updated according to the stability score of the working state of the battery during operation, so that the setting of the working parameters of the battery is more accurate and effective.

[0128] In a possible implementation, the screening process of the utilization echelon of the battery in the embodiments of the present application can be as Figure 5 shown. The screening process of the utilization echelon of the battery mainly includes big data screening, rapid detection screening, and fine screening, as Figure 5 shown. The detailed process includes:

[0129] In S501, it is monitored whether the battery meets the retirement standard.

[0130] In S502, if the battery meets the retirement standard, preliminary screening is performed through historical operation data to determine whether it meets the requirements for cascade utilization.

[0131] The initial screening is to obtain the historical operation data of the battery that meets the retirement standard, determine the first parameter set and the health level according to the historical operation data, and determine whether it meets the retirement standard according to the first parameter set and the health level.

[0132] If it does not meet the retirement standard, S503 is executed to maintain operation on the current device.

[0133] Through preliminary screening, if the battery does not meet the cascade utilization standard, S509 is executed to disassemble and recycle the battery. If the battery meets the cascade utilization standard, S504 is executed to perform rapid detection screening on the selected battery to determine whether it meets the cascade utilization.

[0134] When performing rapid detection screening, the first battery set can be obtained according to the preliminary screening, and the second parameter set for rapid detection can be obtained based on the first battery set. The echelon to which the battery belongs is determined based on the first parameter set and the second parameter set. Or, it can be determined whether the battery meets the cascade utilization according to the first parameter set and the second parameter set, or it can be determined whether the battery meets the cascade utilization according to the second parameter set.

[0135] If the second parameter set obtained by rapid detection determines that the battery does not meet the cascade utilization, S509 can be executed to disassemble and recycle the battery.

[0136] If it meets the requirements for cascade reuse, S505 is executed to perform a fine random inspection on the battery to determine whether it meets the cascade utilization.

[0137] The random inspection of the battery can be carried out according to the standard test method to obtain a high-precision third parameter set. If the battery does not meet the cascade utilization standard, S509 can be executed to disassemble and recycle the battery.

[0138] If the third parameter set of the battery meets the secondary utilization standard, then S506 can be executed to calculate the comprehensive battery score. The comprehensive battery score can be calculated based on the first parameter set, the second parameter set, and the third parameter set, in combination with a pre-trained scoring model.

[0139] S507, Recombinant use.

[0140] According to the first parameter set, the second parameter set, or the third parameter set of the battery, batteries with similar parameters are selected for recombinant use to improve the consistency of the batteries used in recombination.

[0141] S508, Cloud monitoring of secondary utilization batteries.

[0142] During the process of secondary utilization of the battery, it can be monitored whether the battery meets the recycling standard. If it meets the standard, then S508 is executed to disassemble and recycle the battery.

[0143] According to Figure 5 As can be seen from the battery state evaluation process shown, in the screening process of the secondary utilization of the battery, it mainly includes preliminary screening based on the first parameter set, rapid detection screening based on the second parameter set, fine screening based on the third parameter set, and cloud monitoring after screening is completed. Among them, preliminary screening and cloud monitoring can be used for fault monitoring of the battery and evaluation of the battery's health level. Rapid detection screening can be used for rapid detection of the battery. Fine screening can be used for high-precision detection of the battery according to the standard test method. The accuracy, detection cost, and coverage range corresponding to the four nodes are as Figure 6 shown. In the preliminary screening stage and the cloud monitoring stage, through big data monitoring, full-scale detection of the battery can be carried out, with a large coverage range and low detection cost, but relatively low accuracy. In the rapid detection stage, a fast detection tooling is used, which can detect the battery after preliminary screening relatively quickly (compared with the fine screening stage). The detection coverage range, detection cost, and accuracy are at a medium level compared with the fine screening stage and the preliminary screening stage. In the fine screening stage, due to detection according to the standard test method, the detection accuracy is the highest, the detection cost is the highest, and the detection coverage range is relatively the smallest. Sampling inspection can be used to complete the acquisition of data required for fine screening.

[0144] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0145] Figure 7 The figure is a schematic diagram of a battery state evaluation device provided by an embodiment of the present application. The device includes:

[0146] The first screening unit 701 is configured to determine a first parameter set according to the historical operation data of the battery, and perform a preliminary screening on the battery set to be evaluated according to the first parameter set to obtain a first battery set.

[0147] The first battery set detection unit 702 is configured to detect a second parameter set of the first battery set.

[0148] The first scoring unit 703 is configured to determine the scores of the batteries in the first battery set according to the first parameter set and the second parameter set.

[0149] In a possible implementation manner, the device includes: a second screening unit configured to screen the first battery set according to the second parameter set to obtain a second battery set; a third screening unit configured to detect a third parameter set of the second battery set, and screen the second battery set according to the third parameter set to obtain a third battery set, where the detection accuracy of the third parameter set is higher than that of the second parameter set; and a second scoring unit configured to score the batteries in the third battery set according to the first parameter set, the second parameter set, and the third parameter set.

[0150] In a possible implementation manner, the device includes: a first utilization echelon determination unit configured to obtain the utilization echelon to which the batteries in the third battery set belong according to the scores determined by the first parameter set, the second parameter set, and the third parameter set; and a first grouping unit configured to group and use two or more batteries according to the performance parameters of the batteries in the third battery set belonging to the same utilization echelon.

[0151] In a possible implementation manner, the device further includes: a second utilization echelon determination unit configured to obtain the utilization echelon to which the batteries in the second battery set belong according to the scores determined by the first parameter set and the second parameter set; and a second grouping unit configured to group and use two or more batteries according to the performance parameters of the batteries in the second battery set belonging to the same utilization echelon.

[0152] In a possible implementation manner, the device further includes: a first parameter update unit configured to update the screening parameters for performing a preliminary screening on the battery set to be evaluated and / or the screening parameters for screening the first battery set according to the third parameter set.

[0153] In a possible implementation manner, the device further includes: a disassembly parameter acquisition unit configured to perform a disassembly process on the battery when it is detected that the battery does not meet the conditions for echelon utilization, and acquire the disassembly parameters of the battery; and a second parameter update unit configured to update the screening parameters for screening the battery according to the disassembly parameters.

[0154] In a possible implementation, the device further includes: a working parameter determination unit, configured to determine the utilization echelon of the battery according to the score, and determine the working parameters of the battery at the belonging utilization echelon according to the first parameter set and the second parameter set.

[0155] In a possible implementation, the first screening unit includes: a data acquisition subunit, configured to acquire historical fault information and / or a first health level in the historical operation data of the batteries in the battery set to be evaluated; a first parameter set determination subunit, configured to determine the first parameter set according to the historical fault information and / or the first health level; a score determination subunit, configured to input the first parameter set into a preset first battery scoring model to obtain a first score of the battery; and a battery screening subunit, configured to preliminarily screen the batteries according to the first score to obtain a first battery set.

[0156] In a possible implementation, the first screening unit includes: a first health level determination subunit, configured to determine a first health level of the battery according to the historical operation data of the battery; and a comparison and screening subunit, configured to compare the health state of the battery with a preset health threshold to screen and obtain a first battery set.

[0157] In a possible implementation, the first battery set detection unit includes: a battery impedance spectrum detection subunit, configured to obtain the battery impedance spectrum of the batteries in the first battery set through preset detection conditions; a characteristic peak information determination subunit, configured to determine the characteristic peak information of the first battery set according to the battery impedance spectrum; and a second health level determination subunit, configured to determine a second health level of the batteries in the first battery set according to the characteristic peak information of the first battery set.

[0158] In a possible implementation, the first battery set detection unit includes: a pressure difference information detection subunit, configured to detect the pressure difference information of the batteries in the first battery set; and a second parameter set determination subunit, configured to determine a second parameter set of the batteries according to the pressure difference information, where the second parameter set includes at least one of a reaction rate, a battery capacity, and a battery life of the battery.

[0159] In a possible implementation, the first scoring unit is configured to input the first parameter set and the second parameter set into a pre-trained second battery scoring model, and calculate to obtain a score of the batteries in the first battery set.

[0160] In a possible implementation, the third screening unit is configured to perform sample extraction in the second battery set according to a predetermined sampling ratio, and detect a third parameter set of the extracted samples.

[0161] The battery state evaluation device described in the embodiments of the present application, and Figure 2Corresponding to the battery state evaluation method shown.

[0162] Figure 8 It is a schematic diagram of an electronic device provided by an embodiment of the present application. As Figure 8 shown, the electronic device 8 of this embodiment includes: a processor 80, a memory 81, and a computer program 82 stored in the memory 81 and executable on the processor 80, such as a battery state evaluation program. When the processor 80 executes the computer program 82, the steps in the above-mentioned embodiments of each battery state evaluation method are implemented. Alternatively, when the processor 80 executes the computer program 82, the functions of each module / unit in the above-mentioned device embodiments are implemented.

[0163] Exemplarily, the computer program 82 can be divided into one or more modules / units. The one or more modules / units are stored in the memory 81 and executed by the processor 80 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing specific functions, and these instruction segments are used to describe the execution process of the computer program 82 in the electronic device 8.

[0164] The electronic device may include, but is not limited to, a processor 80 and a memory 81. Those skilled in the art can understand that Figure 8 this is only an example of the electronic device 8 and does not constitute a limitation on the electronic device 8. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the electronic device may further include input / output devices, network access devices, a bus, etc.

[0165] The so-called processor 80 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0166] The memory 81 may be an internal storage unit of the electronic device 8, such as a hard disk or memory of the electronic device 8. The memory 81 may also be an external storage device of the electronic device 8, such as a plug-in hard disk equipped on the electronic device 8, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Further, the memory 81 may also include both the internal storage unit of the electronic device 8 and an external storage device. The memory 81 is used to store the computer program and other programs and data required by the electronic device. The memory 81 may also be used to temporarily store data that has been output or is to be output.

[0167] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiment and will not be elaborated here.

[0168] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0169] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0170] In the embodiments provided in the present application, it should be understood that the disclosed device / terminal device and method can be implemented in other ways. For example, the device / terminal device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in electrical, mechanical or other forms.

[0171] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0172] In addition, each functional unit in the various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0173] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above method embodiments of the present application can also be completed by hardware related to computer program instructions. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0174] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included within the protection scope of the present application.

Claims

1. A method for evaluating the state of a battery, characterized in that, the method includes: Determining a first parameter set according to the historical operation data of the battery, and preliminarily screening the battery set to be evaluated according to the first parameter set to obtain a first battery set; Detecting the first battery set to obtain a second parameter set; Scoring the batteries in the first battery set according to the first parameter set and the second parameter set.

2. The method according to claim 1, characterized in that, after detecting the first battery set to obtain a second parameter set, the method further includes: Screening the first battery set according to the second parameter set to obtain a second battery set; Detecting a third parameter set of the second battery set, and screening the second battery set according to the third parameter set to obtain a third battery set, and the detection accuracy of the third parameter set is higher than that of the second parameter set; Scoring the batteries in the third battery set according to the first parameter set, the second parameter set and the third parameter set.

3. The method according to claim 2, characterized in that, after scoring the batteries in the third battery set according to the first parameter set, the second parameter set and the third parameter set, the method further includes: Obtaining the utilization echelon to which the batteries in the third battery set belong according to the scores determined by the first parameter set, the second parameter set and the third parameter set; Grouping and using two or more batteries according to the performance parameters of the batteries in the third battery set belonging to the same utilization echelon.

4. The method according to claim 1 or 2, characterized in that, after screening the first battery set according to the second parameter set to obtain a second battery set, the method further includes: Obtaining the utilization echelon to which the batteries in the second battery set belong according to the scores determined by the first parameter set and the second parameter set; Grouping and using two or more batteries according to the performance parameters of the batteries in the second battery set belonging to the same utilization echelon.

5. The method according to any one of claims 2-4, characterized in that, after detecting the third parameter set of the second battery set, the method further includes: Updating the screening parameters for preliminarily screening the battery set to be evaluated and / or the screening parameters for screening the first battery set according to the third parameter set.

6. The method according to any one of claims 2-5, characterized in that, when preliminarily screening the battery set to be evaluated according to the first parameter set to obtain a first battery set, or screening the first battery set according to the second parameter set to obtain a second battery set, or screening the second battery set according to the third parameter set to obtain a third battery set, the method further includes: When it is detected that the battery does not meet the conditions for cascade utilization, disassembling the battery to obtain disassembly parameters of the battery; Updating the screening parameters for screening the battery according to the disassembly parameters.

7. The method according to any one of claims 1-6, characterized in that, after scoring the batteries in the first battery set according to the first parameter set and the second parameter set, the method further includes: Determine the utilization echelon of the battery according to the score, and determine the operating parameters of the battery at the utilization echelon to which it belongs according to the first parameter set and the second parameter set.

8. The method according to any one of claims 1-7, characterized in that determine the first parameter set according to the historical operation data of the battery, and perform a preliminary screening on the battery set to be evaluated according to the first parameter set to obtain the first battery set, including: obtain the historical fault information and / or the first health level in the historical operation data of the batteries in the battery set to be evaluated; determine the first parameter set according to the historical fault information and / or the first health level; input the first parameter set into a preset first battery scoring model to obtain the first score of the battery; perform a preliminary screening on the battery according to the first score to obtain the first battery set.

9. The method according to any one of claims 1-7, characterized in that determine the first parameter set according to the historical operation data of the battery, and perform a preliminary screening on the battery to be evaluated according to the first parameter set to obtain the first battery set, including: determine the first health level of the battery according to the historical operation data of the battery; compare the health state of the battery with a preset health threshold, and screen to obtain the first battery set.

10. The method according to any one of claims 1-9, characterized in that detect the first battery set to obtain a second parameter set, including: obtain the battery impedance spectrum in the first battery set through a preset detection condition; determine the characteristic peak information of the first battery set according to the battery impedance spectrum; determine the second health level of the batteries in the first battery set according to the characteristic peak information of the first battery set.

11. The method according to any one of claims 1-10, characterized in that detect the first battery set to obtain a second parameter set, including: detect the battery differential pressure information in the first battery set; determine the second parameter set of the battery according to the battery differential pressure information, and the second parameter set includes at least one of the reaction rate, battery capacity and battery life of the battery.

12. The method according to any one of claims 1-11, characterized in that score the batteries in the first battery set according to the first parameter set and the second parameter set, including: input the first parameter set and the second parameter set into a pre-trained second battery scoring model, and calculate to obtain the scores of the batteries in the first battery set.

13. The method according to any one of claims 2 to 12, characterized in that when detecting the third parameter set of the second battery set, the method includes: perform sample extraction in the second battery set according to a predetermined sampling ratio, and detect the third parameter set of the extracted samples.

14. A battery state evaluation system, characterized in that the battery state evaluation system includes a server, a client, and a detection device; the server is used to obtain the historical operation data of the battery and send the historical operation data and the battery scoring model to the client; The client is used to receive the historical operation parameters sent by the server to determine the first parameter set, preliminarily screen the batteries to be evaluated according to the first parameter set to obtain the first battery set, send a parameter acquisition instruction to the detection device according to the second parameter set required by the battery scoring model, and receive the collected second parameter set, and score the first battery set according to the first parameter set and the second parameter set in combination with the battery scoring model downloaded by the server; The detection device is used to collect parameters according to the parameter acquisition instruction of the client and send them to the client.

15. The system according to claim 14, wherein, The client is further used to screen the first battery set according to the second parameter set to obtain the second battery set, send an acquisition instruction for the third parameter set of the second battery set to the detection device, screen the second battery set according to the third parameter set returned by the detection device to obtain the third battery set, and determine the score of the third battery set according to the first parameter set, the second parameter set and the third parameter set in combination with the battery scoring model downloaded by the server, wherein the detection accuracy of the third parameter set is higher than that of the second parameter set.

16. The system according to claim 15, wherein, The client is further used to send the third parameter set to the server, and the server is used to update the parameters of the battery scoring model stored in the server according to the third parameter set.

17. A battery state evaluation device, wherein, The device includes: A first screening unit, configured to determine a first parameter set according to the historical operation data of the battery, and preliminarily screen the battery set to be evaluated according to the first parameter set to obtain the first battery set; A first battery set detection unit, configured to detect the second parameter set of the first battery set; A first scoring unit, configured to determine the score of the batteries in the first battery set according to the first parameter set and the second parameter set.

18. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 13 are implemented.

19. A computer-readable storage medium storing a computer program, wherein, When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 13 are implemented.

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