Encrypted battery cell, battery, and encrypted battery cell identification method

Abstract

The present application discloses an encrypted cell, a battery, and an identity recognition method for an encrypted cell, which are applied to the field of battery encryption technology to solve the problem of poor security of battery encryption in the prior art. It includes: a cell body and an encryption chip; wherein the encryption chip is coupled to the cell body and the encryption chip is arranged within the packaging edge of the cell body; the encryption chip is used to obtain the electrical performance characteristic data and / or identification characteristic data of the cell body as identity characteristic data. In this way, by integrating the encryption chip inside the encrypted cell, the encryption level is raised from the external protection board to the cell core, which greatly increases the difficulty of cracking, and fundamentally avoids the problem of batteries being evaded by third parties by cell transplantation. The electrical performance characteristic data and / or identification characteristic data of the cell body obtained in real time are used as identity characteristic data, which ensures the uniqueness and traceability of the cell and improves the security of the cell encryption.

Description

Technical Field

[0001] The present application relates to the field of battery encryption technology, and in particular to an encrypted battery cell, a battery, and an identity recognition method for an encrypted battery cell. Background Art

[0002] Lithium-ion batteries are currently widely used in 3C electronic products, power tools and electric vehicles. Lithium-ion batteries used in products generally include battery cells and protection boards. Because lithium-ion batteries have a high energy density, improper use will lead to serious safety accidents. The main function of the protection board is to prevent safety accidents such as fire caused by improper abuse such as overcharging and overdischarging. At the same time, in order to further ensure battery quality and product safety, the battery will also be encrypted to prevent third parties from using counterfeit and inferior batteries and causing safety hazards.

[0003] At present, battery encryption technology generally sets ID resistors on the protection board to realize the identification and encryption of lithium-ion batteries. This encryption technology is very easy to crack. For example, a third party can replace counterfeit and inferior batteries with protection boards containing legal ID resistors through battery cell transplantation, thereby bypassing battery authentication, which in turn poses a potential threat to the performance, safety and user rights of lithium-ion batteries. Summary of the invention

[0004] The present application provides an encrypted cell, a battery, and an encrypted cell identification method to solve the problem of poor security of battery encryption in the prior art.

[0005] The technical solutions provided by this application are as follows:

[0006] On the one hand, the present application provides an encrypted battery cell, comprising: a battery cell body and an encryption chip; wherein the encryption chip is coupled to the battery cell body and the encryption chip is arranged within the packaging edge of the battery cell body; the encryption chip is used to obtain electrical performance characteristic data and / or identification characteristic data of the battery cell body as identity characteristic data.

[0007] Optionally, the encrypted battery cell provided in the present application further includes: a pole ear; the pole ear is electrically connected to the battery cell body; and the battery cell body supplies power to the outside through the pole ear.

[0008] Optionally, the encryption chip is arranged inside the top packaging edge of the battery body, and the encryption chip is arranged side by side with the tab along the long side direction thereof;

[0009] or;

[0010] The encryption chip is arranged inside the side packaging edge of the battery cell body.

[0011] Optionally, the tab includes a middle portion and two end portions;

[0012] The middle section of the pole ear is coated with the first polymer gel material, and the two end sections of the pole ear are exposed outside the first polymer gel material; the encryption chip is coated with the second polymer gel material; the materials of the first polymer gel material and the second polymer gel material are the same or different.

[0013] Optionally, the encryption chip includes: a power detection module; wherein the power detection module is used to detect the electrical performance characteristic data of the battery cell body; the power detection module includes an encryption element, and the encryption element includes at least one of a voltage sensor and a current sensor.

[0014] Optionally, the encryption chip includes: an identification detection module; wherein the identification detection module is used to detect identification feature data of the battery cell body; the identification detection module includes a memory.

[0015] Optionally, the encrypted battery cell provided in the present application also includes: a detection communication port; the detection communication port is electrically connected to the encryption chip, and the detection communication port is set through the packaging edge; the detection communication port is used to output the identity feature data of the battery cell body.

[0016] Optionally, there are at least two encryption chips; each encryption chip is used to detect the same or different identity feature data.

[0017] On the other hand, the present application provides a battery, comprising: a protection board and at least one of the above-mentioned encrypted battery cells; the encrypted battery cell is electrically connected to the protection board.

[0018] On the other hand, the present application provides an identity recognition method for the above-mentioned encrypted battery cell, comprising:

[0019] Acquire the electrical performance characteristic data and / or identification characteristic data of the battery cell body acquired by the encryption chip as the identity characteristic data of the battery cell body;

[0020] Based on the identity feature data, an identity recognition result of the battery cell body is determined; wherein the identity recognition result is determined based on a relationship model between the identity feature data and the identity recognition result.

[0021] Optionally, when the identity feature data includes electrical performance feature data and identification feature data, the relationship model is a machine learning model, and the relationship model includes at least one identity recognition layer and one identity decision layer;

[0022] Based on the identity feature data, the identity recognition result of the battery cell is determined, including:

[0023] Performing identity recognition on the cell body based on the identity feature data through each identity recognition layer, respectively, to obtain a preliminary identification result of the cell body output by each identity recognition layer; wherein each identity recognition layer uses different identity feature data and / or different identity recognition algorithms;

[0024] The identity decision layer fuses the preliminary identification results of the battery cell body output by each identity recognition layer to obtain the identity recognition results of the battery cell body.

[0025] Optionally, the relationship model is determined in the following way:

[0026] Acquire each training sample data; wherein each training sample data includes historical electrical performance characteristic data, historical identification characteristic data and standard identity data of a battery cell body under a historical working condition;

[0027] Iteratively perform machine learning operations on the initial relationship model based on each training sample data until it is determined that an iteration termination condition is met, and determine the relationship model based on each model parameter of the initial relationship model updated when the machine learning operation was last performed;

[0028] Among them, the machine learning operation includes: selecting target training sample data from various training sample data; inputting the historical electrical performance characteristic data and historical identification characteristic data contained in the target training sample data into the initial relationship model to obtain the predicted identity data output by the initial relationship model; based on the predicted identity data output by the initial relationship model and the standard identity data contained in the target training sample data, using the loss function to determine the current loss value, and based on the current loss value, updating the model parameters of the initial relationship model.

[0029] On the other hand, the present application provides an identity recognition device for the above-mentioned encrypted battery cell, comprising:

[0030] A feature acquisition unit, used to acquire the electrical performance feature data and / or identification feature data of the battery cell body acquired by the encryption chip as the identity feature data of the battery cell body;

[0031] The identity recognition unit is used to determine the identity recognition result of the battery cell body based on the identity feature data; wherein the identity recognition result is determined based on the relationship model between the identity feature data and the identity recognition result.

[0032] On the other hand, an embodiment 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, wherein the processor implements the identity recognition method provided in the embodiment of the present application when executing the computer program.

[0033] The beneficial effects of this application are as follows:

[0034] This application couples the encryption chip with the battery body and sets the encryption chip within the packaging edge of the battery body, and obtains encryption information by establishing a connection with the encryption chip of the battery to identify the battery, so that the encryption level is raised from the external protection board to the battery core, which greatly increases the difficulty of cracking, fundamentally avoids the problem of batteries being transplanted by third parties to evade authentication, and improves the security of battery encryption. In addition, the electrical performance characteristic data and / or identification characteristic data of the battery body obtained in real time are used as identity characteristic data, which provides a unique identity for the battery, enhances the identity authentication capability of the battery, ensures the uniqueness and traceability of the battery, and further improves the security of battery encryption.

[0035] Other features and advantages of the present application will be described in the subsequent description, and in part, will become apparent from the description, or will be understood by practicing the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0037] Figure 1 This is a first cross-sectional view of an encrypted battery cell in an embodiment of the present application;

[0038] Figure 2 This is a second cross-sectional view of the encrypted battery cell in the embodiment of the present application;

[0039] Figure 3 This is a third cross-sectional view of the encrypted battery cell in the embodiment of the present application;

[0040] Figure 4 This is a fourth cross-sectional view of the encrypted battery cell in the embodiment of the present application;

[0041] Figure 5 Schematic diagram of the general flow of the identity recognition method in the embodiment of the present application;

[0042] Figure 6 A schematic diagram of a specific process of determining an identity recognition result in an embodiment of the present application;

[0043] Figure 7 A schematic diagram of a specific process of determining a relationship model in an embodiment of the present application;

[0044] Figure 8 This is a functional structure diagram of an identity recognition device in an embodiment of the present application;

[0045] Fig. 9 Schematic diagram of the hardware structure of the electronic device in the embodiment of the present application.

[0046] Illustration: 1-battery body; 11-packaging edge; 2-encryption chip; 3-top packaging edge; 31-top sealing area; 4-ear; 41-middle part; 42-end part; 5-side packaging edge; 6-first polymer gel material; 7-second polymer gel material; 8-detection communication port. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and beneficial effects of this application clearer, the technical solution in the embodiment of this application will be clearly and completely described below in conjunction with the drawings in the embodiment of this application. Obviously, the described embodiment is only a part of the embodiment of this application, not all the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] At present, lithium-ion batteries have been widely used in many fields such as 3C electronic products, power tools and even electric vehicles due to their high energy density. These lithium-ion battery products usually consist of two parts: lithium-ion cells and protection boards. In order to further improve the quality and product safety of batteries, battery encryption technology has emerged. This technology aims to effectively prevent the potential safety hazards caused by the use of counterfeit and shoddy batteries by third parties through encryption, and on the other hand, it also greatly improves the safety and convenience of battery management. However, the current mainstream battery encryption technology is to identify and encrypt lithium-ion batteries by setting ID resistors on the protection board. Although the implementation is simple, its security is relatively fragile and easy to be cracked. Some unauthorized third parties may use the technical means of cell transplantation to replace counterfeit and shoddy cells with protection boards equipped with legal ID resistors, thereby easily bypassing battery identification. The shortcomings of this encryption technology undoubtedly pose a potential serious threat to the performance, safety and legitimate rights and interests of lithium-ion batteries.

[0049] To this end, in an embodiment of the present application, the encryption chip is coupled to the battery body and the encryption chip is disposed within the packaging edge of the battery body; the encryption chip is used to obtain the electrical performance characteristic data and / or identification characteristic data of the battery body as identity characteristic data. In this way, by coupling the encryption chip to the battery body and disposing the encryption chip within the packaging edge of the battery body, the encryption information is obtained by establishing a connection with the encryption chip of the battery cell to identify the battery cell, so that the encryption level is raised from the external protection board to the battery core, which greatly increases the difficulty of cracking, fundamentally avoids the problem of the battery being evaded by a third party by using the method of cell transplantation, and improves the security of the battery cell encryption. In addition, the electrical performance characteristic data and / or identification characteristic data of the battery body obtained in real time are used as identity characteristic data, which provides a unique identity identification for the battery cell, enhances the identity authentication capability of the battery cell, ensures the uniqueness and traceability of the battery cell, and further improves the security of the battery cell encryption.

[0050] After introducing the application scenarios and design concepts of the embodiments of the present application, the technical solutions provided by the embodiments of the present application are described in detail below.

[0051] The present application embodiment provides an encrypted battery cell, see Figure 1 As shown, the encrypted battery cell provided in the embodiment of the present application includes at least: a battery cell body 1 and an encryption chip 2; wherein the encryption chip 2 is coupled to the battery cell body 1 and the encryption chip 2 is arranged within the packaging edge 11 of the battery cell body 1; the encryption chip 2 is used to obtain the electrical performance characteristic data and / or identification characteristic data of the battery cell body 1 as identity characteristic data.

[0052] exist Figure 1In the encrypted battery cell shown, the battery cell body 1 is used to store and provide electric energy. The encryption chip 2 can obtain the electrical performance characteristic data and / or identification characteristic data by detection, and the encryption chip 2 can also obtain the electrical performance characteristic data and / or identification characteristic data by reading the internal storage. Among them, the electrical performance characteristic data is at least one of the voltage data and current data of the battery cell body 1 under a certain working condition. The identification characteristic data is a unique identification data that is integrated into a specific time and generated by a certain random algorithm, wherein the specific time can be the production date, factory time or a specific encryption time point of the battery cell body 1. The identification characteristic data can be a string containing multiple character types. Each encrypted battery cell corresponds to a unique identification characteristic data. The coupling mode of the encryption chip 2 and the battery cell body 1 can be direct coupling, that is, the encryption chip 2 is attached to the battery cell body 1 and is set within the packaging edge of the battery cell body 1. The coupling mode of the encryption chip 2 and the battery cell body 1 can also be indirect coupling, that is, the encryption chip 2 and the battery cell body 1 are indirectly connected to the internal circuit of the battery cell body 1 through a wire, a flexible circuit board (FPC) or other connection media. The encryption chip 2 can send the identity feature data to the external terminal device through a wired connection or a wireless connection with the external terminal device.

[0053] In this way, compared with the traditional encryption technology that usually sets the ID resistor on the protection board, the encrypted battery cell proposed in this application couples the encryption chip with the battery cell body and sets the encryption chip within the packaging edge of the battery cell body, so that the encryption level is raised from the external protection board to the battery cell, which greatly increases the difficulty of cracking. If a third party attempts to evade certification by cell transplantation, the battery cell must be disassembled and reprogrammed, which not only has extremely high technical requirements, but also easily damages the battery cell in the process, resulting in battery performance degradation or even failure. Therefore, the difficulty and cost of cell transplantation have increased significantly, effectively curbing such illegal activities and improving the security of cell encryption. In addition, encrypted cells can ensure that only officially certified cells can be used to assemble batteries, thereby effectively preventing the influx of counterfeit and shoddy cells. This not only improves the overall quality and safety of the battery, but also protects the legitimate rights and interests of users and reduces the risk of safety accidents caused by the use of inferior batteries. In addition, the electrical performance characteristic data and / or identification characteristic data of the battery cell body acquired in real time is used as identity characteristic data, which provides a unique identity for the battery cell, enhances the identity authentication capability of the battery cell, ensures the uniqueness and traceability of the battery cell, and improves the security of the battery cell encryption.

[0054] In a possible implementation, the encrypted battery cell further includes: a pole ear; the pole ear is electrically connected to the battery cell body; and the battery cell body supplies power to the outside through the pole ear.

[0055] In actual applications, there are generally two tabs, namely the positive tab and the negative tab; the positive tab is connected to the positive pole of the battery cell body, and the negative tab is connected to the negative pole of the battery cell body. The encrypted battery cell supplies power to the outside through the positive tab and the negative tab.

[0056] In one possible implementation, see Figure 2 As shown, the encryption chip 2 is arranged inside the top packaging edge 3 of the battery body 1, and the encryption chip 2 is arranged side by side with the tab 4 along its long side direction;

[0057] or;

[0058] The encryption chip 2 is disposed within the side packaging edge 5 of the battery cell body 1 .

[0059] In practical applications, the setting positions of the encryption chip 2 are mainly divided into two types: within the top packaging edge 3 of the battery cell body 1 and within the side packaging edge 5 of the battery cell body 1. Specifically, when the encryption chip 2 is set within the top packaging edge 3 of the battery cell body 1, the encryption chip 2 can be selected to be set in the top sealing area 31 of the battery cell body 1, wherein the top sealing area 31 is a closed area at the top of the battery cell body 1, adjacent to the inner side of the top packaging edge 3. Since the top sealing area 31 contains the pole ear, setting the encryption chip in the top sealing area 31 can, on the one hand, make full use of the space at the top of the battery cell. The advantage of setting the encryption chip in the top sealing area of ​​the battery cell body is that in addition to sealing the pole ear, there is a certain amount of redundant space in the top sealing area 31 of the battery cell body. Placing the encryption chip here can avoid its additional space occupation for the battery cell or the protection board. The encryption chip is arranged in the top seal area of ​​the battery body instead of directly arranging the encryption chip inside the battery body, because if the encryption chip is directly arranged inside the battery body, the encryption chip may be corroded by the electrolyte inside the battery body, and it will also affect the electrochemical reaction inside the battery body and the normal performance of the battery electrical performance. The encryption chip is arranged in the top seal area of ​​the battery body will not affect the electrochemical reaction inside the battery, and the electrolyte inside the battery body will not corrode the encryption chip. On the other hand, the connection and communication between the encryption chip 2 and the external device can be easily realized. This helps to simplify the circuit design and improve the integration and reliability of the system. When the encryption chip 2 is arranged within the side packaging edge 5 of the battery body 1, the encryption chip 2 can be selected to be arranged in the side sealing area of ​​the battery body 1, wherein the side sealing area is a closed area on the side of the battery body 1, adjacent to the inner side of the side packaging edge 5. Compared with the top sealing area 31, setting the encryption chip in the side sealing area has significant advantages in terms of space utilization flexibility. It not only avoids space conflicts with other key components in the top sealing area 31, but also provides additional space options for the installation of the encryption chip, thereby optimizing the space layout inside the battery body and improving space utilization and design flexibility.

[0060] In practical applications, the specific position of the encryption chip 2 inside the side package edge 5 of the battery body 1 can be determined according to actual needs and the size of the encryption chip 2. When the encryption chip 2 is set within the top package edge 3 of the battery body 1, in order to improve the thickness uniformity of the top package of the battery, the encryption chip 2 is set side by side with the pole ear 4 along its long side direction. Specifically, the encryption chip 2 can be set on both sides of the pole ear 4, and the encryption chip 2, the positive pole ear and the negative pole ear are arranged in the same row or the same column. Preferably, the encryption chip 2 can be set between the positive pole ear and the negative pole ear, and the encryption chip 2, the positive pole ear and the negative pole ear are arranged in the same row or the same column. In order to meet the safety performance requirements and the electron mobility requirements, it is necessary to reserve enough distance between the positive pole ear and the negative pole ear of the encrypted battery. The encryption chip 2 is set between the positive pole ear and the negative pole ear, which can ensure the uniformity of the distribution of the components inside the encrypted battery and optimize the heat dissipation performance of the battery body 1.

[0061] In one possible implementation, see Figure 3 As shown, the pole lug 4 includes a middle portion 41 and two end portions 42;

[0062] The middle section 41 of the pole ear 4 is coated with a first polymer gel material 6, and the two end sections 42 of the pole ear 4 are exposed outside the first polymer gel material 6; the encryption chip 2 is coated with a second polymer gel material 7; the materials of the first polymer gel material 6 and the second polymer gel material 7 are the same or different.

[0063] In practical applications, the middle section 41 of the tab 4 is coated with the first polymer gel material 6; the encryption chip 2 is coated with the second polymer gel material 7, which can be well integrated with the material on the inner side of the cell body 1 during the hot-sealing and hot-pressing process of the top package or the side package, and effectively enhance the sealing performance of the top package or the side package of the encrypted cell. The first polymer gel material 6 and the second polymer gel material 7 can both be one of a thermosetting adhesive, a thermoplastic adhesive, a rubber-type adhesive, and a composite adhesive. Preferably, in order to achieve better fusion between the materials, the materials of the first polymer gel material 6 and the second polymer gel material 7 can be the same. The first polymer gel material 6 and the second polymer gel material 7 can both be adhesives using PP (polypropylene) material as a matrix or main component.

[0064] In one possible embodiment, in order to detect the electrical performance characteristic data of the battery cell body, the encryption chip includes at least: a power detection module; wherein the power detection module is used to detect the electrical performance characteristic data of the battery cell body; the power detection module includes an encryption element, and the encryption element includes at least one of a voltage sensor and a current sensor.

[0065] In practical applications, although cell transplantation can bypass traditional battery encryption methods, the differences in materials, processes and structures between transplanted cells and original encrypted cells result in significantly different electrical performance characteristic data during the charging and discharging process. Specifically, the transplanted cells may exhibit different voltage and current characteristics from the original cells during the charging and discharging process. For example, at the same current, the transplanted cells may have higher or lower charging and discharging voltages. Using voltage sensors or current sensors as encryption elements to capture and analyze electrical performance characteristic data in real time can achieve authentication of encrypted batteries. Since it is difficult for transplanted cells to perfectly replicate all electrical performance characteristic data of the original cells, this encryption method based on real-time electrical performance data can effectively distinguish encrypted cells from transplanted cells, providing a solid line of defense for battery safety and user rights. Specifically, the voltage sensor is used to measure the voltage during the charging and discharging process of the cell, and the voltage sensor includes but is not limited to: at least one of a voltage divider resistor, a capacitor voltage divider and a Hall effect sensor. The voltage divider resistor divides the voltage by connecting resistors in series to measure the voltage. The capacitor voltage divider uses the voltage divider characteristics of a capacitor to measure high voltage. Hall effect sensors are used to measure voltage under the premise of isolation. Current sensors are used to measure the current during the charging and discharging process of the battery cell. Current sensors include but are not limited to: at least one of shunt resistors, Hall effect sensors, fluxgate sensors and Rogowski coils. Shunt resistors detect the voltage drop caused by current through a low-resistance resistor, and then calculate the current. Hall effect sensors use magnetic field induction to measure current without direct contact with conductors, and can provide good electrical isolation. Fluxgate sensors measure current by measuring changes in magnetic flux. Rogowski coils are hollow coils that can measure changing currents non-invasively.

[0066] In a possible implementation, in order to detect the identification feature data of the battery body, the encryption chip at least includes: an identification detection module; wherein the identification detection module is used to detect the identification feature data of the battery body; and the identification detection module includes a memory. wherein the identification feature data is stored in the memory.

[0067] In one possible implementation, see Figure 4 As shown, the encrypted battery cell is also provided with a detection communication port 8; the detection communication port 8 is electrically connected to the encryption chip 2, and the detection communication port 8 is arranged through the packaging edge; the detection communication port 8 is used to output the identity feature data of the battery cell body 1.

[0068] In practical applications, when the encryption chip includes a power detection module, the detection communication port 8 is connected to the output end of the encryption element, so that the encryption chip outputs the electrical performance characteristic data of the battery body 1 through the detection communication port 8. When the encryption chip includes an identification detection module, the detection communication port 8 is connected to the output end of the memory, so that after the encryption chip receives a reader request through the detection communication port 8, it outputs the identification characteristic data of the battery body 1 through the detection port.

[0069] In a possible implementation, there are at least two encryption chips; each encryption chip is used to detect the same or different identity feature data. By having at least two encryption chips detect the same identity feature data, the accuracy of identity data detection can be improved, and detection errors or failures that occur in a single encryption chip can be avoided. By having at least two encryption chips detect different identity feature data, different identity feature data are provided for identity authentication, thereby enhancing the comprehensiveness and accuracy of identity authentication.

[0070] In one possible implementation, a wireless communication circuit may be provided in the encrypted battery cell. The wireless communication circuit includes at least one of an NFC circuit, a Bluetooth circuit, and a radio frequency identification circuit. The wireless communication circuit is used to output the identity feature data of the battery cell body by wireless communication. In the case where a wireless communication circuit may be provided in the encrypted battery cell, the setting of the detection communication port may be omitted, simplifying the external wiring. The detection communication port and the wireless communication circuit may also be provided in the encrypted battery cell at the same time, so that the encrypted battery cell supports multiple communication modes at the same time, thereby improving the flexibility and applicability of the equipment, meeting the needs and scenarios of different users, and the two communication modes serve as backup for each other to ensure the reliability of the transmission of identity feature data.

[0071] Based on the above embodiments, an embodiment of the present application provides a battery, and the battery provided by the embodiment of the present application at least includes: a protection board and at least one of the above-mentioned encrypted battery cells; the encrypted battery cell is electrically connected to the protection board.

[0072] Based on the above embodiments, the present application also provides an identity recognition method for the above encrypted battery cell, which is applied to a terminal device, wherein the terminal device is a battery management system or other special detection equipment, for details, see Figure 5 As shown, the overview process of the encrypted battery cell identity identification method provided in the embodiment of the present application is as follows:

[0073] Step 101: obtaining electrical performance characteristic data and / or identification characteristic data of the battery cell body obtained by the encryption chip as identity characteristic data of the battery cell body.

[0074] In practical applications, the terminal device can be connected to the detection communication port of the encrypted battery cell to obtain the identity feature data of the battery cell body. In addition, the encrypted battery cell can also be additionally provided with a wireless communication circuit to realize the wireless communication connection between the terminal device and the encrypted battery cell and obtain the identity feature data of the battery cell body.

[0075] Step 102: Determine an identity recognition result of the battery cell body based on the identity feature data; wherein the identity recognition result is determined based on a relationship model between the identity feature data and the identity recognition result.

[0076] In practical applications, the relational model can be a mathematical model or a machine learning model, and the choice of the relational model type needs to be determined according to the specific composition of the identity feature data. When the identity feature data includes electrical performance feature data, or a combination of electrical performance feature data and identification feature data, the relational model is a better choice for the machine learning model. This is because electrical performance feature data is easily affected by many factors, such as working environment, usage time, etc., and the machine learning model can more accurately capture the correlation relationship therein, thereby improving the accuracy of identity recognition. When the identity feature data only includes identification feature data, the relational model is a better choice for the mathematical model. This is because the identification feature data itself is highly unique and stable, and the mathematical model is sufficient to handle this type of mapping relationship and achieve efficient and accurate identity recognition.

[0077] In a specific implementation, when the identity feature data includes electrical performance feature data and identification feature data, the relationship model is a machine learning model, and the relationship model includes at least one identity recognition layer and one identity decision layer; accordingly, refer to Figure 6 As shown, based on the identity feature data, the identity recognition result of the battery cell body can be determined in the following ways, but not limited to:

[0078] Step 201: Perform identity identification on the battery cell body based on identity feature data through each identity identification layer, and obtain a preliminary identification result of the battery cell body output by each identity identification layer; wherein each identity identification layer uses different identity feature data and / or different identity identification algorithms.

[0079] In practical applications, when the data identified by the identity recognition layer is electrical performance characteristic data, the identity recognition layer uses a similarity matching algorithm as an identity recognition algorithm to identify the electrical performance characteristic data. For example, a similarity threshold is preset, where the similarity threshold is the minimum value of the similarity between the real-time electrical performance characteristic data and the standard electrical performance characteristic data under the same working condition. If the similarity between the real-time electrical performance characteristic data under a certain working condition and the standard electrical performance characteristic data under the working condition is not lower than the set threshold, the corresponding battery cell body is legal; if the similarity between the real-time electrical performance characteristic data under a certain working condition and the standard electrical performance characteristic data under the working condition is lower than the set threshold, the corresponding battery cell body is illegal. When the data identified by the identity recognition layer is identification characteristic data, the identity recognition layer uses an encryption and decryption algorithm as an identity recognition algorithm to identify the identification characteristic data. For example, the identity identification data is decrypted based on a specific time and a decryption method corresponding to the specific time. If the decryption is successful, it means that the battery cell body is legal, and if the decryption is unsuccessful, it means that the battery cell body is illegal.

[0080] Step 202: The identity decision layer performs fusion processing on the preliminary identification results of the battery cell body output by each identity identification layer to obtain the identity identification results of the battery cell body.

[0081] In practical applications, the fusion process can be weighted fusion or priority selection fusion. Weighted fusion is to assign different weights to the preliminary identification results of the battery cell body output by each identity recognition layer, and use the weighted scoring method to calculate the identity recognition results of the battery cell body according to the weights and preliminary identification results of each identity recognition layer. Priority selection fusion pre-sets that the identity recognition layer uses different identity feature data, and the corresponding preliminary identification results have different priorities. For example, the preliminary identification result output by the identity recognition layer using identification feature data has the highest priority. If the preliminary identification result corresponding to the identity recognition layer using identification feature data is illegal, the identity recognition result of the battery cell body is illegal; if the preliminary identification result corresponding to the identity recognition layer using identification feature data is legal, the preliminary identification results output by the identity recognition layer based on the different electrical performance feature data used are weighted fused to determine the identity recognition result of the battery cell body.

[0082] In one possible implementation, see Figure 7 As shown, the relationship model can be determined in the following way:

[0083] Step 301: Acquire various training sample data; wherein each training sample data includes historical electrical performance characteristic data, historical identification characteristic data and standard identity data of a battery cell body under a historical working condition;

[0084] Step 302: iteratively perform machine learning operations on the initial relationship model based on each training sample data until it is determined that the iteration termination condition is met, and determine the relationship model based on each model parameter of the initial relationship model updated when the machine learning operation was last performed;

[0085] Among them, the machine learning operation includes: selecting target training sample data from various training sample data; inputting the historical electrical performance characteristic data and historical identification characteristic data contained in the target training sample data into the initial relationship model to obtain the predicted identity data output by the initial relationship model; based on the predicted identity data output by the initial relationship model and the standard identity data contained in the target training sample data, using the loss function to determine the current loss value, and based on the current loss value, updating the model parameters of the initial relationship model.

[0086] In practical applications, in order to achieve reliable and accurate identification of encrypted cells, for different types of encrypted cells, each training sample data covers the historical electrical performance characteristic data of different types of encrypted cells under all working conditions; for the same type of encrypted cells, each training sample data covers the historical electrical performance characteristic data of multiple encrypted cells of the same model under all working conditions. Based on the predicted identity data output by the initial relationship model and the standard identity data contained in the target training sample data, the current loss value is calculated using the loss function. The loss threshold is pre-set, and the iteration termination condition is that the current loss value is lower than the loss threshold. When the current loss value does not meet the iteration termination condition, the machine learning operation is repeated; when the current loss value meets the iteration termination condition, the machine learning operation is stopped; the relationship model is determined based on the model parameters of the initial relationship model updated when the machine learning operation was last executed.

[0087] Based on the above embodiments, the present application provides an identity recognition device for the above encrypted battery cell. Figure 8 As shown, the identity recognition device 400 for the above-mentioned encrypted battery cell provided in the embodiment of the present application at least includes:

[0088] The feature acquisition unit 401 is used to acquire the electrical performance feature data and / or identification feature data of the battery cell body acquired by the encryption chip as the identity feature data of the battery cell body;

[0089] The identity recognition unit 402 is used to determine the identity recognition result of the battery cell body based on the identity feature data; wherein the identity recognition result is determined based on the relationship model between the identity feature data and the identity recognition result.

[0090] In a possible implementation, when the identity feature data includes electrical performance feature data and identification feature data, the relationship model is a machine learning model, and the relationship model includes at least one identity recognition layer and one identity decision layer;

[0091] The identity recognition unit 402 is specifically used for:

[0092] Performing identity recognition on the cell body based on the identity feature data through each identity recognition layer, respectively, to obtain a preliminary identification result of the cell body output by each identity recognition layer; wherein each identity recognition layer uses different identity feature data and / or different identity recognition algorithms;

[0093] The identity decision layer fuses the preliminary identification results of the battery cell body output by each identity recognition layer to obtain the identity recognition results of the battery cell body.

[0094] In a possible implementation manner, the identity recognition device 400 for the above-mentioned encrypted battery cell further includes: a model training unit 403;

[0095] The model training unit 403 is specifically used for:

[0096] Acquire each training sample data; wherein each training sample data includes historical electrical performance characteristic data, historical identification characteristic data and standard identity data of a battery cell body under a historical working condition;

[0097] Iteratively perform machine learning operations on the initial relationship model based on each training sample data until it is determined that an iteration termination condition is met, and determine the relationship model based on each model parameter of the initial relationship model updated when the machine learning operation was last performed;

[0098] Among them, the machine learning operation includes: selecting target training sample data from various training sample data; inputting the historical electrical performance characteristic data and historical identification characteristic data contained in the target training sample data into the initial relationship model to obtain the predicted identity data output by the initial relationship model; based on the predicted identity data output by the initial relationship model and the standard identity data contained in the target training sample data, using the loss function to determine the current loss value, and based on the current loss value, updating the model parameters of the initial relationship model.

[0099] It should be noted that the principle of solving the technical problem of the identity recognition device 400 for the above-mentioned encrypted battery cell provided in the embodiment of the present application is similar to the identity recognition method for the above-mentioned encrypted battery cell provided in the embodiment of the present application. Therefore, the implementation of the identity recognition device 400 for the above-mentioned encrypted battery cell provided in the embodiment of the present application can refer to the implementation of the identity recognition device method for the above-mentioned encrypted battery cell provided in the embodiment of the present application, and the repeated parts will not be repeated.

[0100] After introducing the identity recognition method and device for the above-mentioned encrypted battery cell provided in the embodiment of the present application, next, a brief introduction to the electronic device provided in the embodiment of the present application is given.

[0101] See also Fig. 9 As shown, the electronic device 500 provided in the embodiment of the present application includes at least: a processor 501, a memory 502, and a computer program stored in the memory 502 and executable on the processor 501. When the processor 501 executes the computer program, the identity recognition method for the above-mentioned encrypted battery cell provided in the embodiment of the present application is implemented.

[0102] It should be noted that Fig. 9 The electronic device 500 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0103] The electronic device 500 provided in the embodiment of the present application may further include a bus 503 connecting different components (including the processor 501 and the memory 502). The bus 503 represents one or more of several types of bus structures, including a memory bus, a peripheral bus, a local bus, and the like.

[0104] The memory 502 may include a readable medium in the form of a volatile memory, such as a random access memory (RAM) 5021 and / or a cache memory 5022 , and may further include a read-only memory (ROM) 5023 .

[0105] The memory 502 may also include a program tool 5025 having a set (at least one) of program modules 5024, including but not limited to: an operating subsystem, one or more application programs, other program modules, and program data, each of which or some combination may include the implementation of a network environment.

[0106] The electronic device 500 may also communicate with one or more external devices 504 (e.g., keyboards, remote controls, etc.), and may also communicate with one or more devices that enable a user to interact with the electronic device 500 (e.g., mobile phones, computers, etc.), and / or communicate with any device that enables the electronic device 500 to communicate with one or more other electronic devices 500 (e.g., routers, modems, etc.). Such communication may be performed through an input / output (I / O) interface 505. Furthermore, the electronic device 500 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 506. Fig. 9 As shown, the network adapter 506 communicates with other modules of the electronic device 500 via the bus 503. It should be understood that although Fig. 9Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 500, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, disk arrays (Redundant Arrays of Independent Disks, RAID) subsystems, tape drives, and data backup storage subsystems.

[0107] It should be noted that, although several units or subunits of the device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more units described above can be embodied in one unit. Conversely, the features and functions of one unit described above can be further divided into multiple units to be embodied.

[0108] In addition, although the operations of the method of the present application are described in a specific order in the drawings, this does not require or imply that the operations must be performed in this specific order, or that all the operations shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps.

[0109] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0110] Obviously, those skilled in the art can make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the embodiments of the present application. Thus, if these modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. An encrypted battery cell, characterized in that: include: A battery cell body and an encryption chip; wherein the encryption chip is coupled to the battery cell body and is disposed within the top packaging edge or the side packaging edge of the battery cell body; the encryption chip is used to obtain electrical performance characteristic data and / or identification characteristic data of the battery cell body as identity characteristic data; The encryption chip includes: a power detection module; wherein the power detection module is used to detect the electrical performance characteristic data of the battery body; the power detection module includes an encryption element, and the encryption element includes at least one of a voltage sensor and a current sensor; The encryption chip includes: an identification detection module; wherein the identification detection module is used to detect the identification feature data of the battery body; the identification detection module includes a memory; The encrypted battery cell further comprises: a detection communication port; the detection communication port is electrically connected to the encryption chip, and the detection communication port is arranged through the packaging edge; the detection communication port is used to output the identity feature data of the battery cell body; There are at least two encryption chips; each encryption chip is used to detect the same or different identity feature data.

2. The encrypted battery cell according to claim 1, characterized in that: Also includes: The pole ear is electrically connected to the battery body; the battery body supplies power to the outside through the pole ear.

3. The encrypted battery cell according to claim 2, characterized in that: The encryption chip is arranged inside the top packaging edge of the battery cell body, and the encryption chip is arranged side by side with the pole ear along the long side direction thereof.

4. The encrypted battery cell according to claim 2, characterized in that: The pole ear comprises a middle section and two end sections; The middle section of the pole ear is coated with a first polymer gel material, and the two end sections of the pole ear are exposed outside the first polymer gel material; the encryption chip is coated with a second polymer gel material; the materials of the first polymer gel material and the second polymer gel material are the same or different.

5. A battery, characterized in that: include: A protection board and at least one encrypted battery cell as described in any one of claims 1 to 4; the encrypted battery cell is electrically connected to the protection board.

6. A method for identifying an encrypted battery cell according to any one of claims 1 to 4, characterized in that: include: Acquire the electrical performance characteristic data and / or identification characteristic data of the battery cell body acquired by the encryption chip as the identity characteristic data of the battery cell body; Based on the identity feature data, an identity recognition result of the battery cell body is determined; wherein the identity recognition result is determined based on a relationship model between the identity feature data and the identity recognition result.

7. The identity recognition method according to claim 6, characterized in that: When the identity feature data includes electrical performance feature data and identification feature data, the relationship model is a machine learning model, and the relationship model includes at least one identity recognition layer and one identity decision layer; Determining the identity recognition result of the battery cell body based on the identity feature data includes: The cell body is identified by each of the identity recognition layers based on the identity feature data, and a preliminary identification result of the cell body is obtained output by each of the identity recognition layers; wherein each of the identity recognition layers uses different identity feature data and / or different identity recognition algorithms; The identity decision layer performs fusion processing on the preliminary identification results of the battery cell body output by each of the identity identification layers to obtain the identity identification results of the battery cell body.

8. The identity recognition method according to claim 7, characterized in that: The relationship model is determined in the following manner: Acquire various training sample data; wherein each of the training sample data includes historical electrical performance characteristic data, historical identification characteristic data and standard identity data of a battery cell body under a historical operating condition; Iteratively perform machine learning operations on the initial relationship model based on each of the training sample data until it is determined that an iteration termination condition is met, and determine the relationship model based on each model parameter of the initial relationship model updated when the machine learning operation is last performed; Among them, the machine learning operation includes: selecting target training sample data from each of the training sample data; inputting the historical electrical performance characteristic data and historical identification characteristic data contained in the target training sample data into the initial relationship model to obtain the predicted identity data output by the initial relationship model; based on the predicted identity data output by the initial relationship model and the standard identity data contained in the target training sample data, using a loss function to determine the current loss value, and based on the current loss value, updating each model parameter of the initial relationship model.

9. An identity recognition device for the encrypted battery cell according to any one of claims 1 to 4, characterized in that: include: A feature acquisition unit, used to acquire the electrical performance feature data and / or identification feature data of the battery cell body acquired by the encryption chip as the identity feature data of the battery cell body; An identity recognition unit is used to determine an identity recognition result of the battery cell body based on the identity feature data; wherein the identity recognition result is determined based on a relationship model between the identity feature data and the identity recognition result.

10. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the identity recognition method as claimed in any one of claims 6 to 8 when executing the computer program.

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