Authenticated battery cell, battery, and identity identification method for authenticated battery cell
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- SUNWODA ELECTRONICS CO LTD
- Filing Date
- 2025-12-09
- Publication Date
- 2026-07-02
Smart Images
Figure CN2025141239_02072026_PF_FP_ABST
Abstract
Description
Encrypted battery cells, batteries, and methods for identifying encrypted battery cells
[0001] This application claims priority to Chinese Patent Application No. 202411919087.2, filed on December 25, 2024, entitled "Encrypted Battery Cell, Battery and Method for Identifying Encrypted Battery Cell", the entire contents of which are incorporated herein by reference. Technical Field
[0002] This application relates to the field of battery encryption technology, and more specifically, to an encrypted battery cell, a battery, and a method for identifying the encrypted battery cell. Background Technology
[0003] Lithium-ion batteries are currently widely used in 3C electronic products, power tools, and electric vehicles. A typical lithium-ion battery used in these products consists of a battery cell and a protection board. Because lithium-ion batteries have a high energy density, improper use can lead to serious safety accidents. The main function of the protection board is to prevent overcharging, over-discharging, and other improper abuse that could cause fires or other safety incidents. Furthermore, to further ensure battery quality and product safety, the batteries are often encrypted to prevent third parties from using counterfeit or substandard batteries that could pose safety hazards.
[0004] Currently, battery encryption technology typically involves placing an ID resistor on the protection board to encrypt and identify lithium-ion batteries. This encryption technology is extremely easy to crack. For example, third parties can use cell transplantation to replace counterfeit or substandard cells with those on a protection board containing a legitimate ID resistor, thereby bypassing battery certification and posing a potential threat to the performance, safety, and user rights of lithium-ion batteries. Summary of the Invention
[0005] This application provides an encrypted battery cell, a battery, and a method for identifying the encrypted battery cell, which at least partially solves the problem of poor security in existing battery encryption.
[0006] The technical solution provided in this application is as follows:
[0007] In a first aspect, this 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 disposed within the encapsulation edge of the battery cell body; the encryption chip is used to acquire electrical performance characteristic data and / or identification characteristic data of the battery cell body as identity characteristic data.
[0008] In one embodiment, the encrypted battery cell provided in this application further includes: a tab; the tab is electrically connected to the battery cell body; the battery cell body supplies power to the outside through the tab.
[0009] In one embodiment, the encryption chip is disposed within the top encapsulation edge of the battery cell body, and the encryption chip is arranged side by side with the electrode tab along its long side.
[0010] or;
[0011] The encryption chip is located inside the side packaging edge of the battery cell body.
[0012] In one embodiment, the electrode includes a middle section and two end sections;
[0013] The middle section of the electrode is covered by a first polymer gel material, while the two ends of the electrode are exposed outside the first polymer gel material; the encryption chip is covered by a second polymer gel material; the first polymer gel material and the second polymer gel material may be made of the same or different materials.
[0014] In one embodiment, the encryption chip includes: a power detection module; wherein the power detection module is used to detect electrical performance characteristic data of the battery cell body; the power detection module includes an encryption element, which includes at least one of a voltage sensor and a current sensor.
[0015] In one embodiment, 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.
[0016] In one embodiment, the encrypted battery cell provided in this application further includes: a detection communication port; the detection communication port is electrically connected to the encryption chip, and the detection communication port is disposed through the packaging edge; the detection communication port is used to output the identity feature data of the battery cell body.
[0017] In one embodiment, there are at least two encryption chips; each encryption chip is used to detect the same or different identity feature data.
[0018] In a second aspect, this application provides a battery comprising: a protection board and at least one encrypted battery cell as described in the first aspect; the encrypted battery cell is electrically connected to the protection board.
[0019] Thirdly, this application provides a method for identifying the encrypted battery cell described in the first aspect above, comprising:
[0020] The electrical performance characteristic data and / or identification characteristic data of the battery cell obtained by the encryption chip are used as the identity characteristic data of the battery cell.
[0021] Based on identity feature data, the identity recognition result of the battery cell is determined; whereby the identity recognition result is determined based on the relationship model between the identity feature data and the identity recognition result.
[0022] In one embodiment, when the identity feature data includes electrical performance feature data and identification feature data, the relational model is a machine learning model, and the relational model includes at least one identity recognition layer and an identity decision layer.
[0023] Based on identity feature data, the identification result of the battery cell is determined, including:
[0024] Each identification layer identifies the battery cell based on its identity feature data, resulting in a preliminary identification result for the battery cell output by each identification layer. The identity feature data and / or identification algorithms used by each identification layer are different.
[0025] 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 result of the battery cell body.
[0026] In one implementation, the relational model is determined in the following manner:
[0027] Acquire training sample data for each cell; each training sample data includes historical electrical performance characteristics, historical identification characteristics, and standard identity data of a cell under a historical operating condition.
[0028] Based on each training sample data, machine learning operations are iteratively performed on the initial relation model until the iteration termination condition is met. Then, based on the model parameters of the initial relation model updated during the last execution of machine learning operations, the relation model is determined.
[0029] The machine learning operations include: selecting target training sample data from various training sample data; inputting the historical electrical performance feature data and historical identification feature data contained in the target training sample data into the initial relational model to obtain the predicted identity data output by the initial relational model; based on the predicted identity data output by the initial relational model and the standard identity data contained in the target training sample data, using a loss function to determine the current loss value, and updating each model parameter of the initial relational model based on the current loss value.
[0030] Fourthly, this application provides an identification device for the encrypted battery cell described in the first aspect above, comprising:
[0031] The feature acquisition unit is used to acquire the electrical performance feature data and / or identification feature data of the battery cell body obtained by the encryption chip as the identity feature data of the battery cell body;
[0032] The identification unit is used to determine the identification result of the battery cell body based on the identification feature data; wherein, the identification result is determined based on the relationship model between the identification feature data and the identification result.
[0033] Fifthly, embodiments of this application provide an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the identity recognition method provided in the third aspect.
[0034] The beneficial effects of this application are as follows:
[0035] This application couples an encryption chip to the battery cell body, placing the encryption chip within the cell's encapsulation edge. By establishing a connection with the encryption chip to obtain encrypted information for cell identification, the encryption level is elevated from the external protection board to the core of the battery cell. This significantly increases the difficulty of cracking and fundamentally prevents third parties from circumventing authentication by transplanting battery cells, thus enhancing the security of battery cell encryption. Furthermore, by using real-time acquired electrical performance characteristic data and / or identification characteristic data of the battery cell body as identity characteristic data, a unique identity identifier is provided for the battery cell, enhancing its authentication capabilities, ensuring its uniqueness and traceability, and further improving the security of battery cell encryption.
[0036] Other features and advantages of this application will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings. Attached Figure Description
[0037] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:
[0038] Figure 1 is a first cross-sectional view of the encrypted battery cell in an embodiment of this application;
[0039] Figure 2 is a second cross-sectional view of the encrypted battery cell in an embodiment of this application;
[0040] Figure 3 is a third cross-sectional view of the encrypted battery cell in an embodiment of this application;
[0041] Figure 4 is a fourth cross-sectional view of the encrypted battery cell in the embodiments of this application;
[0042] Figure 5 is a schematic diagram of the overview of the identity recognition method in the embodiments of this application;
[0043] Figure 6 is a schematic diagram of the specific process of determining the identity recognition result in the embodiments of this application;
[0044] Figure 7 is a schematic diagram of the specific process of the relation model determination method in the embodiments of this application;
[0045] Figure 8 is a functional structure diagram of the identity recognition device in an embodiment of this application;
[0046] Figure 9 is a schematic diagram of the hardware structure of the electronic device in an embodiment of this application.
[0047] Illustration: 1-Cell body; 11-Encapsulation edge; 2-Encryption chip; 3-Top encapsulation edge; 31-Top sealing area; 4-Taper; 41-Middle section; 42-End section; 5-Side encapsulation edge; 6-First polymer gel material; 7-Second polymer gel material; 8-Detection communication port. Detailed Implementation
[0048] To make the objectives, technical solutions, and beneficial effects of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0049] Currently, lithium-ion batteries, due to their high energy density, are widely used in various fields such as 3C electronic products, power tools, and even electric vehicles. These lithium-ion battery products typically consist of two parts: lithium-ion cells and protection boards. To further improve battery quality and product safety, battery encryption technology has emerged. This technology aims to effectively prevent the safety hazards that may arise from third parties using counterfeit or substandard batteries, and also greatly improves the security and convenience of battery management. However, the current mainstream battery encryption technology uses an ID resistor on the protection board to identify and encrypt lithium-ion batteries. While simple to implement, its security is relatively weak and easily cracked. Some unauthorized third parties may use cell transplantation techniques to replace counterfeit or substandard cells with protection boards equipped with legitimate ID resistors, thus easily bypassing battery identification. This deficiency in encryption technology undoubtedly poses a potentially serious threat to the performance and safety of lithium-ion batteries, as well as the legitimate rights and interests of users.
[0050] Therefore, in this embodiment, the encryption chip is coupled to the battery cell body and disposed within the encapsulation edge of the battery cell body. The encryption chip is used to acquire the electrical performance characteristic data and / or identification characteristic data of the battery cell body as identity characteristic data. Thus, by coupling the encryption chip to the battery cell body and disposing of it within the encapsulation edge of the battery cell body, and by establishing a connection with the encryption chip of the battery cell to acquire encrypted information for battery cell identification, the encryption level is elevated from the external protection board to the core of the battery cell, significantly increasing the difficulty of cracking and fundamentally preventing third parties from circumventing authentication by transplanting battery cells, thereby improving the security of battery cell encryption. Furthermore, using the real-time acquired electrical performance characteristic data and / or identification characteristic data of the battery cell body as identity characteristic data provides a unique identity for the battery cell, enhancing its authentication capabilities, ensuring its uniqueness and traceability, and further improving the security of battery cell encryption.
[0051] After introducing the application scenarios and design concepts of the embodiments of this application, the technical solutions provided by the embodiments of this application will be described in detail below.
[0052] This application provides an encrypted battery cell. Referring to Figure 1, the encrypted battery cell provided in this 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 disposed within the encapsulation edge 11 of the battery cell body 1; the encryption chip 2 is used to acquire electrical performance characteristic data and / or identification characteristic data of the battery cell body 1 as identity characteristic data.
[0053] In the encrypted battery cell shown in Figure 1, the battery cell body 1 is used to store and provide electrical energy. The encryption chip 2 can acquire electrical performance characteristic data and / or identification characteristic data through detection, or by reading its internal storage. The electrical performance characteristic data is at least one of the voltage and current data of the battery cell body 1 under a certain operating condition. The identification characteristic data is unique identification data generated using a specific time and a random algorithm. The specific time can be the production date, manufacturing date, 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 unique identification characteristic data. The encryption chip 2 can be directly coupled to the battery cell body 1, i.e., the encryption chip 2 is attached to the battery cell body 1 and placed within the encapsulation edge of the battery cell body 1. Alternatively, the encryption chip 2 can be indirectly coupled to the battery cell body 1, i.e., the encryption chip 2 is indirectly connected to the internal circuitry of the battery cell body 1 via wires, flexible printed circuit boards (FPCs), or other connection media. The encryption chip 2 can send identity feature data to external terminal devices via wired or wireless connection.
[0054] In contrast to traditional encryption technologies that typically place the ID resistor on the protection board, the encrypted battery cell proposed in this application couples the encryption chip to the battery cell body, with the encryption chip located within the encapsulation edge of the battery cell body. This elevates the encryption level from the external protection board to the battery cell itself, significantly increasing the difficulty of cracking. If a third party attempts to evade authentication through battery cell transplantation, they must disassemble and reprogram the battery cell, which is not only technically demanding but also prone to damaging the cell during the process, leading to decreased battery performance or even failure. Therefore, the difficulty and cost of battery cell transplantation are significantly increased, effectively curbing such illegal activities and improving the security of battery cell encryption. Furthermore, the encrypted battery cell ensures that only officially certified cells can be used to assemble batteries, effectively preventing the influx of counterfeit and substandard cells. This not only improves the overall quality and safety of the battery but also protects the legitimate rights and interests of users, reducing the risk of safety accidents caused by the use of inferior batteries. In addition, the real-time acquired electrical performance characteristics and / or identification characteristics of the battery cell are used as identity characteristics to provide a unique identity for the battery cell, enhance the battery cell's identity authentication capabilities, ensure the uniqueness and traceability of the battery cell, and improve the security of battery cell encryption.
[0055] In one possible implementation, the encrypted battery cell further includes: a tab; the tab is electrically connected to the battery cell body; the battery cell body supplies power to the outside through the tab.
[0056] In practical applications, there are generally two tabs: a positive tab and a negative tab. The positive tab is connected to the positive terminal of the battery cell, and the negative tab is connected to the negative terminal of the battery cell. The encrypted battery cell supplies power to the outside through the positive and negative tabs.
[0057] In one possible implementation, referring to FIG2, the encryption chip 2 is disposed within the top encapsulation edge 3 of the battery cell body 1, and the encryption chip 2 is arranged side by side with the electrode 4 along its long side.
[0058] or;
[0059] The encryption chip 2 is located within the side encapsulation edge 5 of the battery cell body 1.
[0060] In practical applications, the encryption chip 2 is mainly positioned within the top encapsulation edge 3 of the battery cell body 1 and within the side encapsulation edge 5 of the battery cell body 1. Specifically, when the encryption chip 2 is positioned within the top encapsulation edge 3 of the battery cell body 1, it can be placed in the top sealing area 31 of the battery cell body 1. The top sealing area 31 is a closed area on the top of the battery cell body 1, adjacent to the inner side of the top encapsulation edge 3. Since the top sealing area 31 contains tabs, placing the encryption chip in the top sealing area 31 can, on the one hand, make full use of the space on the top of the battery cell. On the other hand, placing the encryption chip in the top sealing area of the battery cell body has the advantage that, in addition to sealing the tabs, there is still some redundant space in the top sealing area 31 of the battery cell body, and placing the encryption chip here can avoid its additional space occupation for the battery cell or protection board. The encryption chip is placed in the top sealing area of the battery cell body instead of directly inside the battery cell body because placing it directly inside the battery cell body could lead to corrosion from the electrolyte inside the battery cell body, and would also affect the electrochemical reactions and normal performance of the battery cell body. Placing the encryption chip in the top sealing area of the battery cell body will not affect the electrochemical reactions inside the battery cell body, and the electrolyte inside the battery cell body will not corrode the encryption chip. On the other hand, it can facilitate the connection and communication between the encryption chip 2 and external devices. This helps to simplify circuit design and improve system integration and reliability. When the encryption chip 2 is placed within the side packaging edge 5 of the battery cell body 1, it can be placed in the side sealing area of the battery cell body 1 body. The side sealing area is a closed area on the side of the battery cell body 1, adjacent to the inner side of the side packaging edge 5. Compared to the top sealing area 31, placing the encryption chip in the side sealing area has a significant advantage 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 internal space layout of the battery cell and improving space utilization and design flexibility.
[0061] In practical applications, the specific position of the encryption chip 2 within the side packaging edge 5 of the cell body 1 can be determined according to actual needs and the size of the encryption chip 2. When the encryption chip 2 is located within the top packaging edge 3 of the cell body 1, to improve the thickness uniformity of the top packaging, the encryption chip 2 is arranged side-by-side with the tab 4 along its long side. Specifically, the encryption chip 2 can be located on both sides of the tab 4, and the positions of the encryption chip 2, the positive tab, and the negative tab are arranged in the same row or column. In some examples, the encryption chip 2 can be located between the positive tab and the negative tab, and the positions of the encryption chip 2, the positive tab, and the negative tab are arranged in the same row or column. To meet security performance and electron mobility requirements, sufficient distance needs to be reserved between the positive and negative tabs of the encrypted cell. Placing the encryption chip 2 between the positive and negative tabs can ensure the uniformity of the distribution of components inside the encrypted cell and optimize the heat dissipation performance of the cell body 1.
[0062] In one possible implementation, referring to Figure 3, the tab 4 includes a middle section 41 and two end sections 42;
[0063] The middle section 41 of the electrode 4 is covered by the first polymer gel material 6, and the two end sections 42 of the electrode 4 are exposed outside the first polymer gel material 6; the encryption chip 2 is covered by the second polymer gel material 7; the first polymer gel material 6 and the second polymer gel material 7 may be made of the same or different materials.
[0064] In practical applications, the middle section 41 of the tab 4 is covered by a first polymeric gel material 6, and the encryption chip 2 is covered by a second polymeric gel material 7. This allows for better fusion with the material inside the battery cell body 1 during the heat-sealing process of top or side encapsulation, effectively enhancing the sealing performance of the top or side encapsulation of the encryption battery cell. Both the first polymeric gel material 6 and the second polymeric gel material 7 can be one of thermosetting adhesives, thermoplastic adhesives, rubber-based adhesives, or composite adhesives. In some examples, to achieve better fusion between the materials, the first polymeric gel material 6 and the second polymeric gel material 7 can be made of the same material. Both the first polymeric gel material 6 and the second polymeric gel material 7 can be adhesives using PP (polypropylene) as the matrix or main component.
[0065] In one possible implementation, the encryption chip, in order to detect the electrical performance characteristics data of the battery cell, includes at least: a power detection module; wherein the power detection module is used to detect the electrical performance characteristics data of the battery cell; the power detection module includes an encryption element, which includes at least one of a voltage sensor and a current sensor.
[0066] In practical applications, while cell transplantation can bypass traditional battery encryption methods, the differences in materials, processes, and structures between the transplanted and original encrypted cells lead to significant differences in their electrical performance characteristics during charging and discharging. Specifically, the transplanted cell may exhibit different voltage and current characteristics during charging and discharging compared to the original cell. For example, at the same current, the transplanted cell may have a higher or lower charging and discharging voltage. Using voltage or current sensors as encryption elements to capture and analyze electrical performance characteristic data in real time allows for the authentication of encrypted batteries. Since it is difficult for a transplanted cell to perfectly replicate all the electrical performance characteristics of the original cell, this encryption method based on real-time electrical performance data can effectively distinguish between encrypted and transplanted cells, providing a solid defense for battery safety and user rights. Specifically, voltage sensors are used to measure the voltage during the charging and discharging process of the cell. Voltage sensors include, but are not limited to, at least one of: voltage divider resistors, capacitive voltage dividers, and Hall effect sensors. Voltage divider resistors measure voltage by dividing the voltage through series resistors. Capacitive voltage dividers measure high voltage by utilizing the voltage-dividing characteristics of capacitors. Hall effect sensors are used for voltage measurement under isolated conditions. Current sensors are used to measure the current during the charging and discharging process of a battery cell. Current sensors include, but are not limited to, at least one of the following: shunt resistors, Hall effect sensors, fluxgate sensors, and Rogowski coils. A shunt resistor uses a low-resistance resistor to detect the voltage drop caused by the current, and then calculates the current magnitude. Hall effect sensors use magnetic field induction to measure current, without direct contact with the conductor, providing good electrical isolation. Fluxgate sensors measure current by measuring changes in magnetic flux. Rogowski coils are air-core coils that can non-invasively measure changing current.
[0067] In one possible implementation, the encryption chip, in order to detect the identification feature data of the battery cell, includes at least: an identification detection module; wherein the identification detection module is used to detect the identification feature data of the battery cell; the identification detection module includes a memory. The memory stores the identification feature data.
[0068] In one possible implementation, referring to Figure 4, the encrypted battery cell is further 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 disposed through the packaging edge; the detection communication port 8 is used to output the identity feature data of the battery cell body 1.
[0069] In practical applications, when the encryption chip includes a power detection module, the detection communication port 8 is connected to the output terminal of the encryption element, so that the encryption chip outputs the electrical performance characteristic data of the battery cell 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 terminal of the memory, so that after receiving a reader request through the detection communication port 8, the encryption chip outputs the identification characteristic data of the battery cell body 1 through the detection port.
[0070] In one possible implementation, at least two encryption chips are used; each encryption chip is used to detect the same or different identity feature data. Detecting the same identity feature data using at least two encryption chips improves the accuracy of identity data detection and avoids detection errors or malfunctions that can occur with a single encryption chip. Detecting different identity feature data using at least two encryption chips provides different identity feature data for authentication, thereby enhancing the comprehensiveness and accuracy of authentication.
[0071] In one possible implementation, the encrypted battery cell may incorporate a wireless communication circuit. This wireless communication circuit includes at least one of NFC, Bluetooth, and RFID circuits. The wireless communication circuit is used to output the battery cell's identity data wirelessly. By incorporating a wireless communication circuit into the encrypted battery cell, the need for a separate detection communication port can be eliminated, simplifying external wiring. Alternatively, both a detection communication port and a wireless communication circuit can be simultaneously incorporated into the encrypted battery cell, enabling it to support multiple communication methods concurrently. This enhances the device's flexibility and applicability, meeting the needs and scenarios of different users. The two communication methods serve as backups for each other, ensuring the reliability of identity data transmission.
[0072] Based on the above embodiments, this application provides a battery, which includes at least: 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.
[0073] Based on the above embodiments, this application also provides an identity recognition method for the encrypted battery cell, applied to a terminal device, wherein the terminal device can be a battery management system or other specialized detection equipment. Referring specifically to Figure 5, the general flow of the encrypted battery cell identity recognition method provided in this application is as follows:
[0074] Step 101: Obtain the electrical performance characteristic data and / or identification characteristic data of the battery cell body obtained by the encryption chip as the identity characteristic data of the battery cell body.
[0075] In practical applications, terminal devices can connect to the detection communication port of the encrypted battery cell to obtain the cell's identity data. Furthermore, the encrypted battery cell can also be equipped with an additional wireless communication circuit to enable wireless communication between the terminal device and the encrypted battery cell, and to obtain the cell's identity data.
[0076] Step 102: Determine the identity recognition result of the battery cell 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.
[0077] In practical applications, the relational model can be either a mathematical model or a machine learning model. The choice of relational model depends on 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, a machine learning model is the better choice for the relational model. This is because electrical performance feature data is easily affected by various factors, such as the working environment and usage time. Machine learning models can more accurately capture the relationships within this data, thereby improving the accuracy of identity recognition. When the identity feature data only includes identification feature data, a mathematical model is the better choice for the relational model. This is because identification feature data itself has high uniqueness and stability, and mathematical models are sufficient to handle this type of mapping relationship, achieving efficient and accurate identity recognition.
[0078] In practical implementation, when the identity feature data includes electrical performance feature data and identification feature data, the relational model is a machine learning model, which includes at least one identity recognition layer and one identity decision layer. Accordingly, referring to Figure 6, the identity recognition result of the battery cell body can be determined based on the identity feature data in the following ways, but not limited to:
[0079] Step 201: Based on the identity feature data, each identity recognition layer performs identity recognition on the battery cell body to obtain the preliminary recognition result of the battery cell body output by each identity recognition layer; wherein, the identity feature data and / or identity recognition algorithm used by each identity recognition layer are different.
[0080] In practical applications, when the data identified by the identity recognition layer is electrical performance feature data, the identity recognition layer uses a similarity matching algorithm as the identity recognition algorithm to identify the electrical performance feature data. For example, a preset similarity threshold is set, where the similarity threshold is the minimum value between real-time electrical performance feature data and standard electrical performance feature data under the same operating condition. If the similarity between real-time electrical performance feature data under a certain operating condition and the standard electrical performance feature data under that operating condition is not lower than the set threshold, then the corresponding battery cell is legitimate; if the similarity between real-time electrical performance feature data under a certain operating condition and the standard electrical performance feature data under that operating condition is lower than the set threshold, then the corresponding battery cell is illegitimate. When the data identified by the identity recognition layer is identification feature data, the identity recognition layer uses an encryption / decryption algorithm as the identity recognition algorithm to identify the identification feature data. For example, the identification data is decrypted based on a specific time and a decryption method corresponding to that specific time. Successful decryption indicates that the battery cell is legitimate, while unsuccessful decryption indicates that the battery cell is illegitimate.
[0081] Step 202: The preliminary identification results of the battery cell body output by each identity recognition layer are fused by the identity decision layer to obtain the identity recognition result of the battery cell body.
[0082] In practical applications, the fusion process can be either weighted fusion or priority-selection fusion. Weighted fusion assigns different weights to the preliminary identification results of the battery cell output by each identification layer. Based on the weights of each identification layer and the preliminary identification results, a weighted evaluation method is used to calculate the battery cell's identification result. Priority-selection fusion pre-sets different priorities for the preliminary identification results of different identification layers using different identity feature data. For example, the preliminary identification results output by the identification layer using identifier feature data have the highest priority. If the preliminary identification result of the identification layer using identifier feature data is invalid, then the battery cell's identification result is invalid. If the preliminary identification result of the identification layer using identifier feature data is valid, then a weighted fusion is performed based on the preliminary identification results output by the identification layers using different electrical performance feature data to determine the battery cell's identification result.
[0083] In one possible implementation, referring to Figure 7, the relational model can be determined in the following manner:
[0084] Step 301: Obtain the data of each training sample; wherein, each training sample data includes the historical electrical performance characteristic data, historical identification characteristic data and standard identity data of a battery cell under a historical operating condition;
[0085] Step 302: Based on each training sample data, iteratively perform machine learning operations on the initial relation model until the iteration termination condition is met. Then, based on the model parameters of the initial relation model updated during the last execution of the machine learning operation, determine the relation model.
[0086] The machine learning operations include: selecting target training sample data from various training sample data; inputting the historical electrical performance feature data and historical identification feature data contained in the target training sample data into the initial relational model to obtain the predicted identity data output by the initial relational model; based on the predicted identity data output by the initial relational model and the standard identity data contained in the target training sample data, using a loss function to determine the current loss value, and updating each model parameter of the initial relational model based on the current loss value.
[0087] In practical applications, to achieve reliable and accurate identification of encrypted battery cells, for different models of encrypted battery cells, each training sample data covers historical electrical performance characteristics of different models under all operating conditions; for the same model of encrypted battery cell, each training sample data covers historical electrical performance characteristics of multiple encrypted battery cells of the same model under all operating conditions. Based on the predicted identity data output by the initial relation model and the standard identity data contained in the target training sample data, a loss function is used to calculate the current loss value. A loss threshold is pre-set, and the iteration termination condition is that the current loss value is lower than the loss threshold. If the current loss value does not meet the iteration termination condition, the machine learning operation is repeated; if the current loss value meets the iteration termination condition, the machine learning operation is stopped. The relation model is determined based on the model parameters of the initial relation model updated during the last execution of the machine learning operation.
[0088] Based on the above embodiments, this application provides an identity recognition device for the encrypted battery cell. Referring to FIG8, the identity recognition device 400 for the encrypted battery cell provided in this application includes at least:
[0089] The feature acquisition unit 401 is used to acquire the electrical performance feature data and / or identification feature data of the battery cell body obtained by the encryption chip as the identity feature data of the battery cell body;
[0090] 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.
[0091] In one possible implementation, when the identity feature data includes electrical performance feature data and identification feature data, the relational model is a machine learning model, and the relational model includes at least one identity recognition layer and an identity decision layer.
[0092] The identity recognition unit 402 is specifically used for:
[0093] Each identification layer identifies the battery cell based on its identity feature data, resulting in a preliminary identification result for the battery cell output by each identification layer. The identity feature data and / or identification algorithms used by each identification layer are different.
[0094] 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 result of the battery cell body.
[0095] In one possible implementation, the identification device 400 for the encrypted battery cell further includes: a model training unit 403;
[0096] Model training unit 403 is specifically used for:
[0097] Acquire training sample data for each cell; each training sample data includes historical electrical performance characteristics, historical identification characteristics, and standard identity data of a cell under a historical operating condition.
[0098] Based on each training sample data, machine learning operations are iteratively performed on the initial relation model until the iteration termination condition is met. Then, based on the model parameters of the initial relation model updated during the last execution of machine learning operations, the relation model is determined.
[0099] The machine learning operations include: selecting target training sample data from various training sample data; inputting the historical electrical performance feature data and historical identification feature data contained in the target training sample data into the initial relational model to obtain the predicted identity data output by the initial relational model; based on the predicted identity data output by the initial relational model and the standard identity data contained in the target training sample data, using a loss function to determine the current loss value, and updating each model parameter of the initial relational model based on the current loss value.
[0100] It should be noted that the principle of the identity recognition device 400 for the encrypted battery cell provided in this application embodiment to solve the technical problem is similar to the identity recognition method for the encrypted battery cell provided in this application embodiment. Therefore, the implementation of the identity recognition device 400 for the encrypted battery cell provided in this application embodiment can refer to the implementation of the identity recognition device method for the encrypted battery cell provided in this application embodiment, and the repeated parts will not be described again.
[0101] After introducing the identification method and apparatus for the encrypted battery cell provided in the embodiments of this application, the electronic device provided in the embodiments of this application will be briefly introduced next.
[0102] Referring to Figure 9, the electronic device 500 provided in this application embodiment 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, it implements the identity recognition method for the above-mentioned encrypted battery cell provided in this application embodiment.
[0103] It should be noted that the electronic device 500 shown in Figure 9 is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.
[0104] The electronic device 500 provided in this application embodiment may further include a bus 503 connecting different components (including processor 501 and memory 502). The bus 503 represents one or more types of bus structures, including memory bus, peripheral bus, local area bus, etc.
[0105] The memory 502 may include a readable medium in the form of volatile memory, such as random access memory (RAM) 5021 and / or cache memory 5022, and may further include read-only memory (ROM) 5023.
[0106] 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 or some combination of these examples may include an implementation of a network environment.
[0107] Electronic device 500 can also communicate with one or more external devices 504 (e.g., keyboard, remote control, etc.), and with one or more devices that enable users to interact with electronic device 500 (e.g., mobile phone, computer, etc.), and / or with any device that enables electronic device 500 to communicate with one or more other electronic devices 500 (e.g., router, modem, etc.). This communication can be performed through input / output (I / O) interface 505. Furthermore, electronic device 500 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) through network adapter 506. As shown in Figure 9, network adapter 506 communicates with other modules of electronic device 500 through bus 503. It should be understood that, although not shown in Figure 9, 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, Redundant Arrays of Independent Disks (RAID) subsystems, tape drives, and data backup storage subsystems.
[0108] It should be noted that although several units or sub-units of the device have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of this 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 and embodied by multiple units.
[0109] Furthermore, although the operations of the method of this application are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.
[0110] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.
[0111] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the claims of this application and their equivalents, this application also intends to include these modifications and variations.
Claims
1. An encrypted battery cell, comprising: The battery cell body and the encryption chip; wherein the encryption chip is coupled to the battery cell body and is disposed within the packaging edge of the battery cell body; the encryption chip is used to acquire electrical performance characteristic data and / or identification characteristic data of the battery cell body as identity characteristic data.
2. The encrypted battery cell as described in claim 1, wherein, Also includes: A tab; the tab is electrically connected to the battery cell body; the battery cell body supplies power to the outside through the tab.
3. The encrypted battery cell as described in claim 2, wherein, The encryption chip is disposed within the top encapsulation edge of the battery cell body, and the encryption chip is arranged side by side with the electrode along its long side. or; The encryption chip is located inside the side packaging edge of the battery cell body.
4. The encrypted battery cell as described in claim 2, wherein, The electrode includes a middle section and two end sections; The middle section of the electrode is covered by a first polymeric gel material, and the two ends of the electrode are exposed outside the first polymeric gel material; the encryption chip is covered by a second polymeric gel material; the first polymeric gel material and the second polymeric gel material may be made of the same or different materials.
5. The encrypted battery cell as described in claim 1, wherein, 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, which includes at least one of a voltage sensor and a current sensor.
6. The encrypted battery cell as described in claim 1, wherein, The encryption chip includes: an identification detection module; wherein the identification detection module is used to detect the identification feature data of the battery cell body; the identification detection module includes a memory.
7. The encrypted battery cell as described in claim 1, wherein, Also includes: The detection communication port is electrically connected to the encryption chip, and the detection communication port extends through the packaging edge. The detection communication port is used to output the identity feature data of the battery cell body.
8. The encrypted battery cell as described in any one of claims 1-7, wherein, The encryption chip is at least two; each encryption chip is used to detect the same or different identity feature data.
9. A battery, comprising: A protection board and at least one encrypted battery cell as described in any one of claims 1-8; the encrypted battery cell is electrically connected to the protection board.
10. A method for identifying an encrypted battery cell as described in any one of claims 1-8, comprising: The electrical performance characteristic data and / or identification characteristic data of the battery cell body obtained by the encryption chip are used as the identity characteristic data of the battery cell body; Based on the identity feature data, the identity recognition result of the battery cell body is determined; wherein, the identity recognition result is determined based on the relationship model between the identity feature data and the identity recognition result.
11. The identity recognition method as described in claim 10, wherein, When the identity feature data includes electrical performance feature data and identification feature data, the relation model is a machine learning model, and the relation model includes at least one identity recognition layer and an identity decision layer. Based on the identity feature data, the identity recognition result of the battery cell body is determined, including: Each of the identity recognition layers performs identity recognition on the battery cell body based on the identity feature data, and obtains a preliminary recognition result of the battery cell body output by each identity recognition layer; wherein, each identity recognition layer uses different identity feature data and / or different identity recognition algorithms; 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 result of the battery cell body.
12. The identity recognition method as described in claim 11, wherein, The relational model is determined in the following manner: Acquire training sample data for each battery cell; wherein each training sample data includes historical electrical performance characteristic data, historical identification characteristic data, and standard identity data of a battery cell under a historical operating condition. Based on each of the training sample data, machine learning operations are iteratively performed on the initial relation model until the iteration termination condition is met. Then, based on the model parameters of the initial relation model updated during the last execution of the machine learning operation, the relation model is determined. The machine learning operation includes: selecting target training sample data from each of the training sample data; inputting the historical electrical performance feature data and historical identification feature data contained in the target training sample data into the initial relation model to obtain the predicted identity data output by the initial relation model; based on the predicted identity data output by the initial relation model and the standard identity data contained in the target training sample data, determining the current loss value using a loss function, and updating each model parameter of the initial relation model based on the current loss value.
13. An identification device for an encrypted battery cell as described in any one of claims 1-8, comprising: The feature acquisition unit is used to acquire the electrical performance feature data and / or identification feature data of the battery cell body obtained by the encryption chip as the identity feature data of the battery cell body; An 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 a relationship model between the identity feature data and the identity recognition result.
14. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the identification method as described in any one of claims 10-12.