A warning method, device and equipment for a composite adhesive layer battery and a storage medium

Abstract

The application relates to the field of vehicle batteries, and discloses a warning method, device and equipment for a composite adhesive layer battery and a storage medium, wherein the composite adhesive layer of the composite adhesive layer battery comprises a sensing network, the sensing network comprises a conductive medium, and the sensing network is used for collecting the resistance of the conductive medium; the warning method comprises the following steps: determining the adhesive layer separation area of the composite adhesive layer according to the current resistance and the initial resistance of the conductive medium; determining a warning threshold according to the charging cycle number of the composite adhesive layer battery, the adhesive layer separation area, and the insulation resistance and the thermal conductivity coefficient of the composite adhesive layer; and determining a target warning strategy according to the adhesive layer separation area and the warning threshold, so as to perform warning. The sensing network comprising the conductive medium is introduced into the composite adhesive layer, the resistance of the conductive medium is monitored, and thus the adhesive layer separation area of the composite adhesive layer is determined. According to the charging cycle number of the composite adhesive layer battery and the adhesive layer separation area, the insulation resistance and the thermal conductivity coefficient of the composite adhesive layer, the battery is warned in real time.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of vehicle batteries, in particular to a warning method and device for a composite adhesive layer battery, an equipment and a storage medium. BACKGROUND

[0002] In order to meet the requirements of "insulation + bonding + heat conduction" of the interfaces between the metal box and the cooling plate, the battery cell and the substrate, etc., the related technology generally adopts a multi-layer superposition mode of "insulating layer + adhesive" to form a power battery of a vehicle, so that the power battery has at least two interfaces (i.e. the interface between the metal and the insulating layer, and the interface between the insulating layer and the adhesive), which will produce an interface thermal resistance superposition effect, causing the power battery to peel off due to temperature cycling, vibration and other factors, and thus the power battery is aged.

[0003] In addition, the related technology only analyzes the peeling and aging of the power battery through early simulation and / or later disassembly of the power battery, and cannot perform real-time peeling and aging warning on the power battery during use. SUMMARY

[0004] In view of the above problems, the present application provides a warning method, device, equipment and storage medium for a composite adhesive layer battery to perform real-time warning on the composite adhesive layer battery.

[0005] According to one aspect of the present application, a warning method for a composite adhesive layer battery is provided, the composite adhesive layer of the composite adhesive layer battery comprising a sensing network, the sensing network comprising a conductive medium, and the sensing network being configured to collect the resistance of the conductive medium; the warning method comprising: determining the peeling area of the composite adhesive layer according to the current resistance and the initial resistance of the conductive medium; determining a warning threshold according to the number of charging cycles of the composite adhesive layer battery, the peeling area, and the insulation resistance and thermal conductivity coefficient of the composite adhesive layer; and determining a target warning strategy according to the peeling area and the warning threshold to perform warning.

[0006] In an optional manner, determining the warning threshold according to the number of charging cycles of the composite adhesive layer battery, the peeling area, and the insulation resistance and thermal conductivity coefficient of the composite adhesive layer comprises: determining a first weight coefficient according to the peeling area, determining a second weight coefficient according to the insulation resistance and thermal conductivity coefficient of the composite adhesive layer, and determining a third weight coefficient according to the number of charging cycles of the composite adhesive layer battery; and determining the warning threshold according to the first weight coefficient, the second weight coefficient and the third weight coefficient.

[0007] In an optional mode, the insulation resistance includes a current insulation resistance and an initial insulation resistance, and the thermal conductivity includes a current thermal conductivity and an initial thermal conductivity; the second weight coefficient is determined according to the insulation resistance and the thermal conductivity of the composite adhesive layer, including: determining a first sub-coefficient according to a ratio of the current insulation resistance to the initial insulation resistance, and determining a second sub-coefficient according to a ratio of the current thermal conductivity to the initial thermal conductivity; and taking a sum of the first sub-coefficient and the second sub-coefficient as the second weight coefficient.

[0008] In an optional mode, the early warning threshold is determined according to the first weight coefficient, the second weight coefficient and the third weight coefficient, including: determining an adjustment coefficient according to the first weight coefficient, the second weight coefficient and the third weight coefficient; and determining the early warning threshold according to the adjustment coefficient and a basic threshold; the basic threshold is a parameter determined according to a stress distribution of the sensor network.

[0009] In an optional mode, the delamination area of the composite adhesive layer is determined according to the current resistance and the initial resistance of the conductive medium, including: determining a resistance change value according to the current resistance and the initial resistance of the conductive medium; and determining the delamination area of the composite adhesive layer according to the resistance change value and a delamination coefficient.

[0010] In an optional mode, the target early warning strategy is determined according to the delamination area and the early warning threshold, including: if the delamination area is greater than a first threshold and less than a second threshold, presetting a first early warning strategy as the target early warning strategy, the preset first early warning strategy being a strategy representing a bright light early warning; the first threshold and the second threshold being values calculated according to the early warning threshold and corresponding proportion coefficients respectively; if the delamination area is greater than the second threshold and less than the early warning threshold, presetting a second early warning strategy as the target early warning strategy, the preset second early warning strategy being a strategy representing a bright light early warning and a voice early warning; and if the delamination area is greater than the early warning threshold, presetting a third early warning strategy as the target early warning strategy, the preset third early warning strategy being a strategy representing a bright light early warning and adjusting parameters of the composite adhesive layer battery.

[0011] In an optional mode, the composite adhesive layer further includes a functional substrate, the functional substrate including an epoxy resin and a functional filler, and the functional filler including carbon nitride and boron nitride.

[0012] According to another aspect of the present application, a warning device for a composite adhesive layer battery is provided. The composite adhesive layer of the composite adhesive layer battery includes a sensing network, and the sensing network includes a conductive medium. The sensing network is configured to collect the resistance of the conductive medium. The warning device includes a delamination area determination module configured to determine the delamination area of the composite adhesive layer based on the current resistance and the initial resistance of the conductive medium; a warning threshold determination module configured to determine a warning threshold based on the number of charge cycles of the composite adhesive layer battery, the delamination area, and the insulation resistance and the thermal conductivity of the composite adhesive layer; and a warning module configured to determine a target warning strategy based on the delamination area and the warning threshold to perform a warning.

[0013] According to an aspect of the present application, an electronic device is provided. The electronic device includes a controller; and a memory configured to store one or more programs that, when executed by the controller, perform the warning method described above.

[0014] According to an aspect of the present application, a computer-readable storage medium having stored thereon computer-readable instructions that, when executed by a processor of a computer, cause the computer to perform the warning method described above is also provided.

[0015] According to an aspect of the present application, a computer program product or a computer program including computer instructions stored in a computer-readable storage medium is also provided. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the warning method described above.

[0016] The present application improves the structure of the composite adhesive layer battery to introduce a sensing network including a conductive medium into the composite adhesive layer. The resistance of the conductive medium is monitored by the sensing network to determine the delamination area of the composite adhesive layer. The number of charge cycles of the composite adhesive layer battery, and the delamination area, the insulation resistance, and the thermal conductivity of the composite adhesive layer are used to determine a warning threshold for determining a target warning strategy. The battery is warned in real time according to the target warning strategy.

[0017] The above description is only a summary of the technical solutions of the present application. In order to more clearly understand the technical means of the present application, the specific embodiments of the present application can be implemented in accordance with the content of the description, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described. BRIEF DESCRIPTION OF DRAWINGS

[0018] The accompanying drawings, which are incorporated herein and constitute part of the specification, illustrate embodiments consistent with the application and, together with the description, further serve to explain the principles of the application. It is to be understood that the drawings are only schematic, and that they do not necessarily correspond to the actual relative sizes of the components. It is also to be understood that the examples shown in the drawings are merely meant as non-limiting examples.

[0019] Figure 1 is a schematic cross-sectional view of a partial structure of a composite adhesive layer battery according to an example embodiment of the present application; wherein 1 - composite adhesive layer, 2 - substrate, 3 - sensing network, 4 - external lead wire, 5 - battery cell, 6 - battery case.

[0020] Figure 2 is a flowchart of a warning method of a composite adhesive layer battery according to an example embodiment of the present application.

[0021] Figure 3 is a flowchart of another warning method of a composite adhesive layer battery according to an example embodiment of the present application. Figure 2

[0022] Figure 4 is a schematic diagram of an application scenario of a warning method of a composite adhesive layer battery according to the present application.

[0023] Figure 5 is a schematic diagram of a warning device of a composite adhesive layer battery according to an example embodiment of the present application.

[0024] Figure 6 is a schematic diagram of a computer system of an electronic device according to an example embodiment of the present application. DETAILED DESCRIPTION

[0025] The example embodiments will be described in detail herein with reference to the attached drawings. The following description is made with reference to the accompanying drawings, in which like reference numerals refer to like elements, and by way of non-limiting examples. The following description of example embodiments does not represent all embodiments consistent with the application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the application as detailed in the appended claims.

[0026] The block diagrams shown in the drawings are merely functional entities, and do not necessarily have to correspond to physically independent entities. That is, the functional entities can be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0027] ​The flowcharts shown in the drawings are only illustrative, and are not necessarily required to include all contents and operations / steps, nor are they necessarily required to be executed in the order described. For example, some operations / steps can be further broken down, and some operations / steps can be combined or partially combined, so the actual execution order can be changed according to actual conditions.

[0028] “Multiple” mentioned in the present application refers to two or more. “And / or” describes the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can represent three cases of A alone, A and B together, and B alone. The character “ / ” generally represents that the associated objects before and after it are in an “or” relationship.

[0029] The related vehicle power battery is composed of a multi-layer superposition of “insulating layer + adhesive”, so that the power battery has at least two interfaces (i.e. the interface between the metal and the insulating layer, and the interface between the insulating layer and the adhesive), which will produce an interface thermal resistance superposition effect, causing the different layers to peel off due to temperature cycling, vibration and other factors, resulting in power battery delamination aging.

[0030] In addition, the related art only analyzes the delamination aging of the power battery through early simulation and / or late disassembly of the power battery, and cannot perform real-time delamination aging early warning on the power battery during use.

[0031] Therefore, the battery structure is improved in the present application. In order to reduce the interfaces in the battery, a composite adhesive layer is introduced for improvement to obtain a composite adhesive layer battery, thereby replacing the original multi-layer structure of “insulating layer + adhesive + external sensor”. The present application internally places a sensing network in the composite adhesive layer, which includes a conductive medium, which can be a plurality of ink units. The sensing network can be connected with an external lead, so that the resistance collected by the sensing network, i.e. the resistance of the conductive medium collected by the sensing network, can be obtained through the external lead. In some embodiments, the substrate of the sensing network is a temperature-resistant PI (Polyimide Film, polyimide) film, and the ink units are flexible conductive ink units, which are distributed in a mesh shape at a certain spacing. In some embodiments, the composite adhesive layer further includes a functional substrate, which includes an epoxy resin and a functional filler, and the functional filler includes carbon nitride and boron nitride.

[0032] The preparation method of the composite adhesive layer is as follows:

[0033] (1) The substrate and the functional filler are mixed and stirred uniformly to obtain a functional substrate; wherein the substrate serves as a basic carrier, and wraps the functional filler and the sensing network. The substrate is a modified epoxy resin, which is cured to improve the tensile strength, elongation at break, and temperature resistance range to meet the requirements of the power battery. The functional fillers are dispersed in the substrate and do not form additional interfaces.

[0034] (2) Lay the flexible conductive ink network (i.e. a sensing network comprising a conductive medium) in the mold, and inject a functional matrix, vacuum degassing, to form an integrated composite adhesive layer, the flexible conductive ink network is similar to embedded in the composite adhesive layer, and the external wire is connected thereto. Among them, the sensing network is distributed in a mesh shape, and the interval can be adjusted according to the scene requirements.

[0035] (3) Cut the composite adhesive layer to the target size, connect the sensing network and the external wire, facilitate to obtain the resistance collected by the sensing network, thereby preparing a composite adhesive layer as shown in Figure 1 . Figure 1 is a cross-sectional schematic view of the partial structure of the composite adhesive layer battery shown in an exemplary embodiment of the present application. Among them, the composite adhesive layer 1 is an integrated adhesive layer, which is placed between the battery cell 5 and the battery box 6. The base material 2 is epoxy resin, and the functional filler is uniformly distributed in the base material 2 to form a functional base material, and the functional filler includes carbon nitride and boron nitride. The sensing network 3 is similar to embedded in the composite adhesive layer 1, the sensing network 3 is connected with the external wire 4, and the sensing network 3 is a network composed of a plurality of flexible conductive ink units.

[0036] Different from the related "insulating layer + adhesive + external sensor" composition scheme, the present application integrates the insulation, adhesion and heat conduction functions through "base material + functional filler", and embeds the sensing network at the same time, to form a single adhesive layer without additional interface, and fundamentally solves the interface thermal resistance and peeling problem. At the same time, the preparation method of the present application is through vacuum degassing and layered curing, so that the functional filler is uniformly dispersed, and the sensing network is not uniformly wrapped by the adhesive, so as to avoid the distortion of the electrical signal.

[0037] In addition, the present application does not limit the thickness of the composite adhesive layer and the grid spacing of the sensing network, which can be adaptively adjusted according to different scene requirements, for example, adjusting the spacing of the graphite unit according to the stress distribution (stress concentration area and gentle area) of the adhesive, which can not only ensure the resistance monitoring accuracy of the high-risk area, but also avoid the redundancy of the sensor in the low-risk area. The composite adhesive layer of the present application can be directly applied to the metal box-cooling plate, cell-substrate and other scenes, which can shorten the development cycle and reduce the production cost.

[0038] Another aspect of the present application provides a warning method for a composite adhesive layer battery, which is used for real-time warning of aging and adhesive peeling of the composite adhesive layer battery. For details, please refer to Figure 2 , Figure 2 is a flowchart of a warning method for a composite adhesive layer battery according to an exemplary embodiment of the present application. The warning method at least includes S210 to S230; wherein the composite adhesive layer of the composite adhesive layer battery comprises a sensing network, the sensing network comprises a conductive medium, and the sensing network is used for collecting the resistance of the conductive medium, which is described in detail as follows:

[0039] S210: determining the delamination area of the composite adhesive layer according to the current resistance of the conductive medium and the initial resistance.

[0040] As shown in the above Figure 1 The sensing network 3 is in the composite adhesive layer 1, which is based on a PI film and has a mesh structure attached with a conductive medium. The conductive performance of the sensing network 3 is determined by the conductive performance of the conductive medium.

[0041] In some embodiments, the conductive medium is a total of a plurality of conductive graphite units, each graphite unit has a respective resistance, and the resistance of the conductive medium is the total resistance of all the graphite units. Obviously, the resistance of the entire sensing network is proportional to the resistance of the conductive medium. If the composite adhesive layer delaminates, the structure of the corresponding graphite unit is destroyed due to the change of the structure of the composite adhesive layer, resulting in the failure of the conductive function of the corresponding graphite unit (i.e., the partial failure of the conductive medium), so that the conductive effective area of the sensing network decreases, as shown in the above Figure 1 The resistance of the sensing network 3 detected by the external lead 4 will increase, that is, the resistance of the conductive medium collected by the sensing network 3 will increase. By skillfully establishing a mapping relationship between the resistance of the conductive medium and the delamination area of the composite adhesive layer, the present application can quickly know the delamination area of the composite adhesive layer without disassembling the battery structure, only according to the resistance of the conductive medium collected by the sensing network.

[0042] The initial resistance can be understood as the resistance of the sensing network measured at the completion of the preparation of the composite adhesive layer, that is, the initial resistance of the conductive medium. The current resistance can be understood as the real-time resistance of the sensing network, that is, the real-time resistance of the conductive medium.

[0043] The present application finds that there is a certain mapping relationship between the delamination area of the composite adhesive layer and the resistance change of the sensing network, as shown in the above Figure 1 The sensing network 3 is connected with the external lead 4, and the initial resistance (i.e., the initial resistance of the conductive medium in the sensing network 3) and the real-time resistance (i.e., the real-time resistance of the conductive medium in the sensing network 3) of the sensing network 3 can be measured through the external lead 4, that is, the current (current stage or current time) resistance, so as to achieve the purpose of real-time monitoring of the resistance change (i.e., the resistance change of the conductive medium in the sensing network 3) of the sensing network 3, thereby determining the delamination area of the composite adhesive layer in real time.

[0044] Exemplarily, the resistance change value is determined according to the current resistance and the initial resistance of the conductive medium; and the delamination area of the composite adhesive layer is determined according to the resistance change value and the delamination coefficient. For example, the calculation formula of the delamination area is as follows: S=(R t -R0) / k; wherein, S is the delamination area of the composite adhesive layer, R t is the current resistance of the conductive medium, that is, the current resistance of the sensing network, R0 is the initial resistance of the conductive medium, that is, the initial resistance of the sensing network, (Rt R0 is the resistance change value, k is the delamination coefficient, and the experimental calibration of different delamination areas is obtained by a special tool.

[0045] S220: According to the number of charging cycles of the composite adhesive layer battery, the delamination area, and the insulation resistance and thermal conductivity coefficient of the composite adhesive layer, the early warning threshold is determined.

[0046] The number of charging cycles refers to the number of times a battery completes a complete 100% charge and discharge cycle, not necessarily from 0% to 100% each time. For example, the first day from 80% to 30% (consumption 50%), and then fully charged; the second day from 80% to 30% (another 50% consumption), which is counted as one complete cycle (50% + 50% = 100%) for the two times.

[0047] The delamination area of the composite adhesive layer can reflect the delamination of the composite adhesive layer battery. The number of charging cycles can reflect the aging of the composite adhesive layer battery. The insulation resistance and thermal conductivity coefficient of the composite adhesive layer can reflect the performance degradation of the composite adhesive layer battery. The delamination signal (resistance), physical and chemical performance signal (insulation resistance, thermal conductivity coefficient) of the composite adhesive layer and the battery aging (such as SOH, State of Health, battery health status) data are fused, the influence weight of each factor on the battery delamination and aging risk is quantified, and the limitations of the existing single data monitoring are broken through. From the three dimensions of battery delamination, aging and performance degradation, the battery is analyzed for early warning, making the battery early warning dimension more comprehensive and the early warning threshold more accurate.

[0048] S230: Determine the target early warning strategy according to the delamination area and the early warning threshold to perform early warning.

[0049] The target early warning strategy is a strategy dynamically determined according to the real-time delamination area and the real-time early warning threshold, and is used for real-time early warning of the battery.

[0050] Exemplarily, if the delamination area is greater than the first threshold value and less than the second threshold value, a preset first early warning strategy is taken as the target early warning strategy, the preset first early warning strategy is a strategy representing light warning; The first threshold value and the second threshold value are values calculated according to the early warning threshold and the corresponding proportion coefficient respectively; if the delamination area is greater than the second threshold value and less than the early warning threshold, a preset second early warning strategy is taken as the target early warning strategy, the preset second early warning strategy is a strategy representing light warning and voice warning; if the delamination area is greater than the early warning threshold, a preset third early warning strategy is taken as the target early warning strategy, and the preset third early warning strategy is a strategy representing light warning and adjusting the parameters of the composite adhesive layer battery.

[0051] Different preset warning strategies correspond to different warning levels, and different predicted levels correspond to different warning methods, including but not limited to voice prompt warnings and warning light display warnings.

[0052] For example, the first threshold = 70% warning threshold, and the second threshold = 90% warning threshold. If the delamination area is less than 70% of the warning threshold, no alarm is triggered. If the delamination area is greater than 70% of the warning threshold but less than 90% of the warning threshold, a low-risk warning is triggered: the green light on the dashboard illuminates. If the delamination area is greater than 90% of the warning threshold but less than 100% of the warning threshold, a medium-risk warning is triggered: the yellow light on the dashboard illuminates, and a voice prompt prompts for battery inspection. If the delamination area is greater than 100% of the warning threshold, a high-risk warning is triggered: the red light on the dashboard illuminates, the BMS (Battery Management System) reduces power to 80%, and the cooling system is enhanced.

[0053] This embodiment improves the structure of the composite adhesive layer battery by introducing a sensing network including a conductive medium into the composite adhesive layer. The resistance of the conductive medium is monitored through the sensing network, thereby determining the debonding area of ​​the composite adhesive layer. Based on the battery's charging cycle count, the debonding area of ​​the composite adhesive layer, insulation resistance, and thermal conductivity, a warning threshold is determined to inform the battery in real time according to the target warning strategy.

[0054] In another exemplary embodiment of this application, it is described in detail how to determine the warning threshold based on the number of charging cycles of the composite adhesive layer battery, the debonding area, and the insulation resistance and thermal conductivity of the composite adhesive layer. Please refer to [link to relevant documentation] for details. Figure 3 , Figure 3 Based on Figure 2 The exemplary embodiment shown illustrates a flowchart of another early warning method for composite adhesive layer batteries. This early warning method, as in... Figure 2 The S220 shown includes S310 to S320, which are described in detail below:

[0055] S310: The first weighting coefficient is determined based on the debonding area, the second weighting coefficient is determined based on the insulation resistance and thermal conductivity of the composite adhesive layer, and the third weighting coefficient is determined based on the number of charging cycles of the composite adhesive layer battery.

[0056] The first weight coefficient is a weight influence coefficient representing the influence of the delamination degree of the composite adhesive layer on the early warning threshold. For example, the first weight coefficient = current delamination area / preset reference threshold. The preset reference threshold is a threshold obtained according to a delamination experiment. The second weight coefficient is a weight influence coefficient representing the influence of the performance attenuation degree of the composite adhesive layer on the early warning threshold. The third weight coefficient is a weight influence coefficient representing the influence of the aging degree of the composite adhesive layer on the early warning threshold. For example, the third weight coefficient = current charging cycle number / 1500 (regular warranty cycle number for passenger cars).

[0057] Here, an example is given to illustrate how to calculate the second weight coefficient. The insulation resistance includes a current insulation resistance and an initial insulation resistance, and the thermal conductivity includes a current thermal conductivity and an initial thermal conductivity. A first sub-coefficient is determined according to the ratio of the current insulation resistance to the initial insulation resistance, and a second sub-coefficient is determined according to the ratio of the current thermal conductivity to the initial thermal conductivity. The sum of the first sub-coefficient and the second sub-coefficient is taken as the second weight coefficient.

[0058] For example, the second weight coefficient is calculated according to the following formula: (1-current insulation resistance / initial insulation resistance)xA+(1-current thermal conductivity / initial thermal conductivity)xB. The first sub-coefficient=(1-current insulation resistance / initial insulation resistance)xA, the second sub-coefficient=(1-current thermal conductivity / initial thermal conductivity)xB, and the sum of the first sub-coefficient and the second sub-coefficient is one. A and B are the respective preset weight coefficients, and the specific values thereof are not limited in the present application. The values of A and B can be the same or different, and can be adaptively adjusted according to the changes in the resistance influence degree and the thermal conductivity influence degree.

[0059] S320: determining the early warning threshold according to the first weight coefficient, the second weight coefficient, and the third weight coefficient.

[0060] For example, the second weight coefficient is calculated according to the following formula: (1-current insulation resistance / initial insulation resistance)xA+(1-current thermal conductivity / initial thermal conductivity)xB. The first sub-coefficient=(1-current insulation resistance / initial insulation resistance)xA, the second sub-coefficient=(1-current thermal conductivity / initial thermal conductivity)xB, and the sum of the first sub-coefficient and the second sub-coefficient is one. A and B are the respective preset weight coefficients, and the specific values thereof are not limited in the present application. The values of A and B can be the same or different, and can be adaptively adjusted according to the changes in the resistance influence degree and the thermal conductivity influence degree.

[0061] For example, the early warning threshold is calculated according to the following formula: base threshold value x (1-Wx0.3). W=w1+w2+w3. W is the total weight coefficient (i.e., the adjustment coefficient). w1, w2, and w3 are the first weight coefficient, the second weight coefficient, and the third weight coefficient, respectively. The base threshold value is adaptively changed according to the stress distribution of the sensor network. If the stress is concentrated, the base threshold value is larger. If the stress is dispersed, the base threshold value is smaller.

[0062] The embodiment provides a determination manner of a pre-warning threshold, a first weight coefficient reflecting a delamination degree is determined according to a delamination area of the composite adhesive layer, a second weight coefficient reflecting a performance attenuation degree is determined according to an insulation resistance and a thermal conductivity of the composite adhesive layer, and a third weight coefficient reflecting an aging degree is determined according to a charging cycle number of the composite adhesive layer battery, so that the pre-warning threshold is determined according to the first weight coefficient, the second weight coefficient and the third weight coefficient, pre-warning analysis is performed on the battery from three dimensions of delamination, aging and performance attenuation, the pre-warning dimension of the battery is more comprehensive, and the pre-warning threshold is more accurate.

[0063] The application scenarios of the above-mentioned multiple pre-warning methods are exemplarily illustrated in another exemplary embodiment of the application, and specific reference can be made to Figure 4 , Figure 4 is a schematic diagram of an application scenario of a pre-warning method of a composite adhesive layer battery in the application. The composite adhesive layer battery 100, the vehicle-mounted instrument panel 200 and the controller 300 are connected through wired or wireless communication, and the application does not limit the connection mode therebetween.

[0064] The composite adhesive layer of the composite adhesive layer battery 100 includes a sensing network, the sensing network includes a conductive medium, and the sensing network is used for collecting the resistance of the conductive medium. The in-vehicle corresponding data collection device can collect the related data of the composite adhesive layer battery 100, including but not limited to the resistance of the sensing network, and the insulation resistance and the thermal conductivity of the composite adhesive layer. The vehicle-mounted instrument panel 200 can perform light warning according to the pre-warning instruction of the controller 300, for example, display different color lights to perform different degree pre-warning.

[0065] The controller 300 can be an execution subject of any of the above-mentioned pre-warning methods, to execute any of the above-mentioned pre-warning methods, which are exemplarily illustrated as follows:

[0066] The controller 300 determines the delamination area of the composite adhesive layer according to the current resistance and the initial resistance of the conductive medium; the controller 300 determines the pre-warning threshold according to the charging cycle number of the composite adhesive layer battery 100, the delamination area, and the insulation resistance and the thermal conductivity of the composite adhesive layer; and the controller 300 determines the target pre-warning strategy according to the delamination area and the pre-warning threshold, to perform pre-warning.

[0067] The controller 300 can be a physical controller placed inside the vehicle, or a server cluster or distributed system independent of the vehicle, wherein the servers can form a blockchain, and the servers are nodes on the blockchain. The controller 300 can also be a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms, and the like, and the present application is not limited thereto.

[0068] Another aspect of the present application also provides a warning device for a composite adhesive layer battery, as shown in Figure 5 Figure 5 is a structural schematic diagram of a warning device for a composite adhesive layer battery according to an example embodiment of the present application. The composite adhesive layer of the composite adhesive layer battery includes a sensing network, and the sensing network includes a conductive medium. The sensing network is used to collect the resistance of the conductive medium. The warning device 500 includes:

[0069] A delamination area determination module 510 is configured to determine the delamination area of the composite adhesive layer according to the current resistance and the initial resistance of the conductive medium.

[0070] A warning threshold determination module 530 is configured to determine the warning threshold according to the number of charge cycles of the composite adhesive layer battery, the delamination area, and the insulation resistance and the thermal conductivity of the composite adhesive layer.

[0071] A warning module 550 is configured to determine a target warning strategy according to the delamination area and the warning threshold to perform warning.

[0072] In another example embodiment, the warning threshold determination module 530 includes:

[0073] A weight coefficient determination unit is configured to determine a first weight coefficient according to the delamination area, a second weight coefficient according to the insulation resistance and the thermal conductivity of the composite adhesive layer, and a third weight coefficient according to the number of charge cycles of the composite adhesive layer battery.

[0074] A warning threshold determination unit is configured to determine the warning threshold according to the first weight coefficient, the second weight coefficient, and the third weight coefficient.

[0075] In another example embodiment, the insulation resistance includes a current insulation resistance and an initial insulation resistance, and the thermal conductivity includes a current thermal conductivity and an initial thermal conductivity. The weight coefficient determination unit includes:

[0076] ​The sub-coefficient determination block is configured to determine a first sub-coefficient according to a ratio of the current insulation resistance and the initial insulation resistance, and determine a second sub-coefficient according to a ratio of the current thermal conductivity and the initial thermal conductivity.

[0077] The second weight coefficient determination block is configured to determine a second weight coefficient according to a sum of the first sub-coefficient and the second sub-coefficient.

[0078] In another example embodiment, the early warning threshold determination unit comprises:

[0079] The adjustment coefficient determination block is configured to determine an adjustment coefficient according to the first weight coefficient, the second weight coefficient and the third weight coefficient.

[0080] The early warning threshold determination block is configured to determine an early warning threshold according to the adjustment coefficient and a basic threshold, and the basic threshold is a parameter determined according to a stress distribution of the sensing network.

[0081] In another example embodiment, the debonding area determination module 510 comprises:

[0082] The resistance change value determination unit is configured to determine a resistance change value according to the current resistance and the initial resistance of the conductive medium.

[0083] The debonding area determination unit is configured to determine a debonding area of the composite adhesive layer according to the resistance change value and a debonding coefficient.

[0084] In another example embodiment, the early warning module 550 comprises:

[0085] The first early warning unit is configured to, if the debonding area is greater than a first threshold and less than a second threshold, determine a preset first early warning strategy as a target early warning strategy, and the preset first early warning strategy is a strategy representing a bright light early warning; the first threshold and the second threshold are values calculated according to the early warning threshold and corresponding proportional coefficients respectively.

[0086] The second early warning unit is configured to, if the debonding area is greater than the second threshold and less than the early warning threshold, determine a preset second early warning strategy as the target early warning strategy, and the preset second early warning strategy is a strategy representing a bright light early warning and a voice early warning.

[0087] The third early warning unit is configured to, if the debonding area is greater than the early warning threshold, determine a preset third early warning strategy as the target early warning strategy, and the preset third early warning strategy is a strategy representing a bright light early warning and adjusting parameters of the composite adhesive layer battery.

[0088] In another example embodiment, the composite adhesive layer further comprises a functional substrate, and the functional substrate comprises an epoxy resin and a functional filler, and the functional filler comprises carbon nitride and boron nitride.

[0089] The early warning device provided in the application improves the structure of the composite adhesive layer battery to introduce a sensing network including a conductive medium into the composite adhesive layer, monitors the resistance of the conductive medium through the sensing network, and determines the adhesive separation area of the composite adhesive layer. According to the number of charging cycles of the composite adhesive layer battery, the adhesive separation area, the insulation resistance and the thermal conductivity coefficient of the composite adhesive layer, the early warning threshold for determining the target early warning strategy is determined to early warn the battery in real time according to the target early warning strategy.

[0090] It should be noted that the early warning device provided in the above embodiments and the early warning method provided in the above embodiments belong to the same concept, wherein the specific manner in which each module and unit performs operations has been described in detail in the method embodiments, which will not be described here.

[0091] Another aspect of the application also provides an electronic device, comprising: a controller; a memory for storing one or more programs, when the one or more programs are executed by the controller, to perform the early warning method described above.

[0092] Please refer to Figure 6 , Figure 6 is a structural schematic diagram of a computer system of an electronic device according to an example embodiment of the application, which shows the structural schematic diagram of the computer system of the electronic device suitable for implementing the embodiments of the application.

[0093] It should be noted that Figure 6 The computer system 600 of the electronic device shown is only an example, and should not limit the functions and use range of the embodiments of the application.

[0094] As Figure 6 shown, the computer system 600 includes a central processing unit (CPU) 601, which can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) 602 or programs loaded from a storage portion 608 to a random access memory (RAM) 603, such as performing the methods in the above embodiments. In the RAM 603, various programs and data required for system operation are also stored. The CPU 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0095] The following components are connected to the I / O interface 605: an input part 606 including a keyboard, a mouse, etc.; an output part 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), etc., and a speaker, etc.; a storage part 608 including a hard disk, etc.; and a communication part 609 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication part 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as necessary. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is attached to the drive 610 as necessary, so that a computer program read out therefrom is installed in the storage part 608 as necessary.

[0096] In particular, according to embodiments of the present application, the processes described above with reference to the flowcharts can be implemented as a computer software program. For example, embodiments of the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing a computer program for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network by the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the central processing unit (CPU) 601, various functions defined in the system of the present application are executed.

[0097] It should be noted that the computer-readable medium in the embodiments of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination thereof. The computer-readable storage medium may, for example, be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination thereof. More specific examples of the computer-readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this application, the computer-readable storage medium can be any tangible medium that contains or stores a program used by an instruction execution system, apparatus or device, and can be used or combined with the same. In this application, the computer-readable signal medium can include a data signal carried in a baseband or as a part of a carrier wave, which carries computer-readable computer programs. Such a propagated data signal can take various forms, including, but not limited to, an electromagnetic signal, an optical signal, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, which can send, transmit, propagate or transport a program for use by or in connection with an instruction execution system, apparatus or device. The computer programs contained in the computer-readable medium can be transmitted by any suitable medium, including, but not limited to, wireless, wired, or the like, or any suitable combination thereof.

[0098] The flowcharts and block diagrams in the drawings illustrate the possible implementation architectures, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In the flowcharts or block diagrams, each block can represent a module, a program segment or a part of code, which contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in a different order from that noted in the drawings. For example, two blocks represented in succession can actually be executed substantially in parallel, and sometimes in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams or flowcharts, and the combination of blocks in the block diagrams or flowcharts, can be implemented by a dedicated hardware-based system for implementing the specified functions or operations, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0099] The units described in the embodiments of the present application can be implemented by software, or can be implemented by hardware, and the described units can also be set in a processor. In some cases, the names of the units do not constitute a limitation on the units themselves.

[0100] Another aspect of the present application also provides a computer readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the early warning method as described above. The computer readable storage medium can be included in the electronic device as described in the above embodiments, or can exist separately and not be assembled into the electronic device.

[0101] Another aspect of the present application also provides a computer program product or a computer program, which includes computer instructions stored in a computer readable storage medium. A processor of a computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to make the computer device execute the early warning method provided in each of the above embodiments.

[0102] According to an aspect of the embodiments of the present application, a computer system is also provided, which includes a central processing unit (CPU) that can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) or loaded from a storage portion into a random access memory (RAM), such as the method in the above embodiments. In the RAM, various programs and data required for system operation are also stored. The CPU, the ROM, and the RAM are connected to each other through a bus. An input / output (I / O) interface is also connected to the bus.

[0103] The following components are connected to the I / O interface: an input portion including a keyboard, a mouse, and the like; an output portion including a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a speaker, and the like; a storage portion including a hard disk, and the like; and a communication portion including a network interface card such as a LAN (Local Area Network) card, a modem, and the like. The communication portion performs communication processing via a network such as the Internet. A drive is also connected to the I / O interface as needed. A removable medium such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, and the like is mounted on the drive as needed, so that a computer program read therefrom is installed in the storage portion as needed.

[0104] The above merely provides preferred exemplary embodiments of the present application, and is not intended to limit the implementation of the present application. Based on the main concept and spirit of the present application, the person skilled in the art can easily make corresponding changes or modifications, and the protection scope of the present application should be subject to the protection scope required by the claims.

Claims

1. A method for early warning of a jellyroll battery, characterized in that, The composite adhesive layer of the composite adhesive layer battery comprises a sensing network, the sensing network comprises a conductive medium, and the sensing network is used to collect the resistance of the conductive medium; the early warning method comprises: determining the delamination area of the composite adhesive layer according to the current resistance and the initial resistance of the conductive medium; determining a warning threshold according to the number of charging cycles of the composite adhesive layer battery, the delamination area, and the insulation resistance and the thermal conductivity coefficient of the composite adhesive layer; determining a target warning strategy according to the delamination area and the warning threshold to perform early warning.

2. The method of claim 1, wherein, determining a warning threshold according to the number of charging cycles of the composite adhesive layer battery, the delamination area, and the insulation resistance and the thermal conductivity coefficient of the composite adhesive layer, comprises: determining a first weight coefficient according to the delamination area, determining a second weight coefficient according to the insulation resistance and the thermal conductivity coefficient of the composite adhesive layer, and determining a third weight coefficient according to the number of charging cycles of the composite adhesive layer battery; determining a warning threshold according to the first weight coefficient, the second weight coefficient and the third weight coefficient.

3. The method of claim 2, wherein the step of providing a warning comprises: The insulation resistance comprises a current insulation resistance and an initial insulation resistance, and the thermal conductivity coefficient comprises a current thermal conductivity coefficient and an initial thermal conductivity coefficient; determining a second weight coefficient according to the insulation resistance and the thermal conductivity coefficient of the composite adhesive layer, comprises: determining a first sub-coefficient according to the ratio of the current insulation resistance to the initial insulation resistance, and determining a second sub-coefficient according to the ratio of the current thermal conductivity coefficient to the initial thermal conductivity coefficient; taking the sum of the first sub-coefficient and the second sub-coefficient as the second weight coefficient.

4. The method of claim 2, wherein the step of providing a warning comprises: determining a warning threshold according to the first weight coefficient, the second weight coefficient and the third weight coefficient, comprises: determining an adjustment coefficient according to the first weight coefficient, the second weight coefficient and the third weight coefficient; determining a warning threshold according to the adjustment coefficient and a basic threshold; the basic threshold is a parameter determined according to the stress distribution of the sensing network.

5. The method of claim 1, wherein the step of providing a warning comprises: determining the delamination area of the composite adhesive layer according to the current resistance and the initial resistance of the conductive medium, comprises: determining a resistance change value according to the current resistance and the initial resistance of the conductive medium; determining the delamination area of the composite adhesive layer according to the resistance change value and a delamination coefficient.

6. The method of claim 1, wherein the step of providing a warning comprises: determining a target warning strategy according to the delamination area and the warning threshold, comprises: if the delamination area is greater than a first threshold and less than a second threshold, taking a preset first warning strategy as the target warning strategy, the preset first warning strategy being a strategy representing performing light warning; the first threshold and the second threshold are values calculated according to the warning threshold and corresponding proportion coefficients respectively; if the delamination area is greater than the second threshold and less than the warning threshold, taking a preset second warning strategy as the target warning strategy, the preset second warning strategy being a strategy representing performing light warning and voice warning; if the delamination area is greater than the warning threshold, taking a preset third warning strategy as the target warning strategy, the preset third warning strategy being a strategy representing performing light warning and adjusting parameters of the composite adhesive layer battery.

7. The early warning method according to any one of claims 1 to 6, characterized in that, The composite adhesive layer further comprises a functional substrate, the functional substrate comprising an epoxy resin and a functional filler, the functional filler comprising carbon nitride and boron nitride.

8. A warning device for a jellyroll battery, characterized by The composite adhesive layer battery further comprises a sensing network, the sensing network comprising a conductive medium, the sensing network being configured to collect an electrical resistance of the conductive medium; and the early warning device comprising: a debonding area determination module configured to determine a debonding area of the composite adhesive layer based on a current electrical resistance and an initial electrical resistance of the conductive medium; an early warning threshold determination module configured to determine an early warning threshold based on a number of charge cycles of the composite adhesive layer battery, the debonding area, and an insulation resistance and a thermal conductivity of the composite adhesive layer; an early warning module configured to determine a target early warning strategy based on the debonding area and the early warning threshold to perform early warning.

9. An electronic device, comprising: comprising: a controller; a memory configured to store one or more programs that, when executed by the controller, cause the controller to implement the early warning method of any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, a computer-readable medium having stored thereon computer-readable instructions that, when executed by a processor of a computer, cause the computer to perform the early warning method of any one of claims 1 to 7.

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