CN116504037A - Early warning method, early warning device and vehicle for power battery thermal runaway - Google Patents

Abstract

The invention discloses an early warning method, an early warning device and a vehicle for thermal runaway of a power battery. Among them, the method includes: collecting the image information of the high temperature area of the power battery; processing the image information to obtain the temperature distribution cloud image of the power battery, and comparing the temperature distribution cloud image with the preset fault cloud image to obtain the first comparison result; The first comparison result determines the startup mode of the power battery, wherein the startup mode includes an abnormal wake-up mode and a normal power-on mode; according to the startup mode, the image information is compared with the preset verification information to obtain the second comparison result; based on the first The result of the second comparison generates a control instruction set, which is used to control the power battery to issue an early warning prompt message. The invention solves the technical problem that the thermal runaway warning method of the power battery in the prior art causes the failure of the warning due to the sampling accuracy.

Description

Early warning method, early warning device and vehicle for power battery thermal runaway

technical field

The present invention relates to the technical field of power batteries, in particular to an early warning method, an early warning device and a vehicle for thermal runaway of a power battery.

Background technique

At present, in the safety design of power batteries, the early warning methods for battery thermal runaway caused by humid and hot conditions generally focus on the judgment of temperature and voltage change rates, and then add smoke sensors, thermal imaging temperature samplers and other equipment for safety prevention.

Judging from the dimension of temperature and voltage changes, it is easy to be affected by sampling accuracy and sampling failure, and there is a risk of false alarms; and the measures of adding smoke sensors and thermal imaging temperature samplers can ensure the accuracy of early warning from multiple dimensions, but it also increases the system. Potential failure risk.

For the above problems, no effective solution has been proposed yet.

Contents of the invention

Embodiments of the present invention provide a thermal runaway warning method for a power battery, a warning device, and a vehicle to at least solve the technical problem of failure of the warning due to sampling accuracy in the prior art thermal runaway warning method for a power battery.

According to an aspect of an embodiment of the present invention, a method for early warning of thermal runaway of a power battery is provided, including: collecting image information of a high temperature area of the power battery, wherein the image information includes: area information of the high temperature area, color information of the high temperature area , the shape information of the high-temperature area, the position information of the high-temperature area, and the temperature information of the high-temperature area; process the image information to obtain the temperature distribution cloud image of the power battery, and compare the temperature distribution cloud image with the preset fault cloud image to obtain the first comparison Result; according to the first comparison result, judge the start-up mode of the power battery, wherein the start-up mode includes abnormal wake-up mode and normal power-on mode; according to the start-up mode, compare the image information with the preset verification information to obtain the second comparison result ; A control instruction set is generated based on the second comparison result, and the control instruction set is used to control the power battery to issue an early warning message, wherein the early warning message includes at least one of the following: information that the power battery has a risk of thermal runaway, and the power battery has no risk of thermal runaway Information.

Optionally, before processing the image information, image segmentation is performed on the high-temperature region according to the image information to obtain multiple segmented images.

Optionally, performing image segmentation on the high-temperature region according to the image information includes: combining the color information of the high-temperature region, converting the high-temperature region into a color space, wherein the color space includes three segmentation parameters of hue, saturation and brightness, according to the segmentation The preset interval range of the parameter performs image segmentation on the high temperature area.

Optionally, according to the first comparison result, the start-up mode of the power battery is judged, wherein the start-up mode includes an abnormal wake-up mode and a normal power-on mode, including: the position of the temperature distribution cloud map is the same as that of the preset fault cloud map, and the temperature When the color distribution of the distribution cloud image is the same as that of the preset fault cloud image, the power battery is in abnormal wake-up mode.

Optionally, according to the first comparison result, the start-up mode of the power battery is judged, wherein the start-up mode includes abnormal wake-up mode and normal power-on mode, and also includes: the position of the temperature distribution cloud map is different from the preset fault cloud map and the temperature When at least one of the color distribution of the distribution cloud map and the color distribution of the preset fault cloud map is different, the power battery is in the normal power-on mode.

Optionally, a control instruction set is generated based on the second comparison result, and the control instruction set is used to control the power battery to issue warning prompt information, including: when the power battery is in an abnormal wake-up mode, the maximum temperature difference in the high temperature area is greater than the first calibration threshold, and the duration is greater than or equal to the first preset duration, the first target command in the control command set is generated, and the first target command is used to control the power battery to issue an early warning message indicating that the power battery has a thermal runaway risk.

Optionally, a control instruction set is generated based on the second comparison result, and the control instruction set is used to control the power battery to issue early warning prompt information, including: when the power battery is in an abnormal wake-up mode, the rate of change of the highest temperature in the high temperature area and the lowest The temperature change rate difference is greater than the second verification threshold, and the duration is greater than or equal to the second preset duration, and the second target command in the control command set is generated. The second target command is used to control the power battery to send out heat generated by the power battery. Early warning and prompt information of out-of-control risks.

Optionally, a control instruction set is generated based on the second comparison result, and the control instruction set is used to control the power battery to issue warning prompt information, including: when the power battery is in the normal power-on mode, the image parameters in the high temperature area are fitted and calculated to obtain The obtained reaction enthalpy is greater than the third verification threshold, and the third target command in the control command set is generated, and the third target command is used to control the power battery to issue an early warning message indicating that the power battery has a thermal runaway risk.

Optionally, collecting the image information of the high-temperature region of the power battery includes: separately collecting image information of the high-temperature region of the power battery in the three-coordinate dimension, and fitting the image information of the high-temperature region in the three-coordinate dimension to generate a high-temperature Stereoscopic image information of the region.

Optionally, both the cloud database and the edge database of the power battery are provided with preset fault cloud images and preset verification information. During the early warning analysis process of the power battery thermal runaway, the cloud database and the edge database run simultaneously.

According to another aspect of the embodiments of the present invention, there is also provided an early warning device for thermal runaway of a power battery, including: an acquisition module used to acquire image information of a high temperature area of the power battery, wherein the image information includes: a high temperature area The area information of the high temperature area, the color information of the high temperature area, the shape information of the high temperature area, the position information of the high temperature area and the temperature information of the high temperature area; the first comparison module, the first comparison module is used to process the image information to obtain the temperature of the power battery distribution cloud map, and compare the temperature distribution cloud map with the preset fault cloud map to obtain the first comparison result; the judging module, the judging module is used to judge the start-up mode of the power battery according to the first comparison result, wherein the start-up mode includes the abnormal wake-up mode and the normal power-on mode; the second comparison module, the second comparison module is used to compare the image information with the preset verification information according to the startup mode, and obtain the second comparison result; the generation module, the generation module generates based on the second comparison result The control instruction set is used to control the power battery to issue an early warning message, wherein the early warning message includes at least one of the following: information that the power battery has a risk of thermal runaway, and information that the power battery has no risk of thermal runaway.

According to another aspect of the embodiments of the present invention, there is also provided a vehicle, including a memory and a processor, where a computer program is stored in the memory, and the processor is configured to run the computer program to execute the above-mentioned early warning method.

In the embodiment of the present invention, by collecting the image information of the high-temperature area of the power battery, the start-up mode of the power battery is determined according to the temperature distribution cloud image of the high-temperature area, and then combined with the start-up mode of the power battery, image information and preset verification information Obtain the corresponding warning prompt information. In the above-mentioned early warning method, the image information includes multi-dimensional sampling information, and there is a direct or indirect connection between each sampling information, so each sampling information can play a role of mutual verification, avoiding the early warning prompt information being affected by the sampling accuracy or Effect of sampling failure.

Description of drawings

The accompanying drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations to the present invention. In the attached picture:

Fig. 1 is a block diagram of the hardware structure of a computer terminal (or mobile device) for realizing an early warning method for thermal runaway of a power battery according to an embodiment of the present invention

Fig. 2 is a flowchart of a method for early warning of thermal runaway of a power battery according to an embodiment of the present invention;

Fig. 3 is a structural block diagram of an early warning device for thermal runaway of a power battery according to an embodiment of the present invention.

Detailed ways

In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

Example 1

According to an embodiment of the present invention, an embodiment of an early warning method for thermal runaway of a power battery is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

Fig. 1 is a block diagram of the hardware structure of a computer terminal (or mobile device) for implementing a method for early warning of thermal runaway of a power battery according to an embodiment of the present invention. As shown in Figure 1, a computer terminal (or mobile device) may include one or more processors 102 (the processor may include but not limited to a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP) Chips, microprocessors (MCUs), programmable logic devices (FPGAs), neural network processors (NPUs), tensor processors (TPUs), artificial intelligence (AI) type processors, etc.) and for storage Storage 104 for data. In addition, a transmission device 106 for communication functions, an input and output device 108 and a display 110 may also be included. Those of ordinary skill in the art can understand that the structure shown in FIG. 1 is only a schematic diagram, and it does not limit the structure of the above-mentioned electronic device. For example, a computer terminal may also include more or fewer components than the above structural description, or have a different configuration from the above structural description.

The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the early warning method for power battery thermal runaway in the embodiment of the present invention, and the processor 102 runs the computer program stored in the memory 104 , so as to perform various functional applications and data processing, that is, to realize the above-mentioned method for early warning of thermal runaway of the power battery. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory that is remotely located relative to the processor 102, and these remote memories may be connected to the mobile terminal through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

Transmission device 106 is used to receive or transmit data via a network. The specific example of the above network may include a wireless network provided by the communication provider of the mobile terminal. In one example, the transmission device 106 includes a network interface controller (NIC for short), which can be connected to other network devices through a base station so as to communicate with the Internet. In an example, the transmission device 106 may be a radio frequency (Radio Frequency, RF for short) module, which is used to communicate with the Internet in a wireless manner.

The display 110 may be a touch screen liquid crystal display (LCD). The liquid crystal display may enable a user to interact with a user interface of the mobile terminal. In some embodiments, the above-mentioned mobile terminal has a graphical user interface (GUI), and the user can perform human-computer interaction with the GUI by touching finger contacts and/or gestures on the touch-sensitive surface, and the human-computer interaction function here is optional Including the following interactions: creating web pages, drawing, word processing, making electronic documents, games, video conferencing, instant messaging, sending and receiving emails, call interface, playing digital video, playing digital music and/or web browsing, etc. The executable instructions of the interactive function are configured/stored in one or more processor-executable computer program products or readable storage media.

Fig. 2 is a flowchart of an early warning method for thermal runaway of a power battery according to one embodiment of the present invention. As shown in Fig. 2, the process includes the following steps:

Step S1: Collect image information of the high-temperature area of the power battery, wherein the image information includes: area information of the high-temperature area, color information of the high-temperature area, shape information of the high-temperature area, position information of the high-temperature area, and temperature information of the high-temperature area. Wherein, the image information of the high temperature area of the power battery is collected by a thermal imaging temperature sampler.

Step S2: Process the image information to obtain a temperature distribution cloud image of the power battery, and compare the temperature distribution cloud image with a preset fault cloud image to obtain a first comparison result. Specifically, the thermal infrared phase formation is processed by Matlab software to form a cloud map of the temperature distribution on the surface of the power battery.

Step S3: According to the first comparison result, determine the start-up mode of the power battery, wherein the start-up mode includes an abnormal wake-up mode and a normal power-on mode.

Step S4: According to the startup mode, compare the image information with the preset verification information to obtain a second comparison result.

Step S5: Generate a control instruction set based on the second comparison result, the control instruction set is used to control the power battery to issue early warning prompt information, wherein the early warning prompt information includes at least one of the following: information that the power battery has a risk of thermal runaway, and the power battery has no heat. Information on risks of loss of control.

In the above steps S1 to S5, by collecting the image information of the high-temperature area of the power battery, the start-up mode of the power battery is determined according to the temperature distribution cloud image of the high-temperature area, and then combined with the start-up mode of the power battery, image information and preset verification Information to obtain the corresponding warning prompt information. In the above-mentioned early warning method, the image information includes multi-dimensional sampling information, and there is a direct or indirect connection between each sampling information, so each sampling information can play a role of mutual verification, avoiding the early warning prompt information being affected by the sampling accuracy or Effect of sampling failure.

In step S1, in order to avoid inaccurate sampled image information due to failure of the thermal imaging temperature sampler, it is necessary to perform real-time fault diagnosis on the thermal imaging temperature sampler while sampling. The specific diagnostic items include: thermal imaging temperature sampling The power supply of the thermal imaging temperature sampler, the driving of the thermal imaging temperature sampler, the wake-up function of the thermal imaging temperature sampler, the communication function of the thermal imaging temperature sampler, and the sampling function of the thermal imaging temperature sampler. The power supply of the imaging temperature sampler - the driving of the thermal imaging temperature sampler - the wake-up function of the thermal imaging temperature sampler - the communication function of the thermal imaging temperature sampler - the sampling function of the thermal imaging temperature sampler" are sequentially diagnosed, when the If any link is abnormal, the diagnostic module of the thermal imaging temperature sampler will output a valid verification signal value of 0, and send it to the thermal runaway warning feature verification module to stop further warning verification, analysis, and output of warning prompt information .

In an exemplary embodiment of the present application, before processing the image information, image segmentation is performed on the high-temperature region according to the image information to obtain multiple segmented images. Specifically, the image information of the high-temperature area is clustered through the DB scan algorithm, and the image of the high-temperature area is refined and segmented according to the parameter range of the graphic information. In step S2, the image information of each segmented image after refinement is processed separately, and multiple temperature distribution cloud images are correspondingly obtained, and the multiple temperature distribution cloud images are compared with the preset fault cloud images respectively, so that more accurate identification The abnormal points in the high-temperature area can be detected to improve the accuracy of the thermal failure warning of the power battery.

Specifically, the image segmentation of the high-temperature region can be performed according to the color information of the high-temperature region. The specific segmentation process is as follows: combined with the color information of the high-temperature region, the high-temperature region is converted into a color space, wherein the color space includes hue, saturation and brightness. There are three segmentation parameters, and image segmentation is performed on the high temperature area according to the preset range of the segmentation parameters. Among them, it should be noted that different colors in the high-temperature region represent different temperature distributions, and the color information includes three parameters: hue, saturation, and brightness. The temperature can be further accurately divided by refining the color information. Comparing with the fault cloud image, the abnormal points in the high temperature area can be identified more accurately, and the accuracy of the thermal failure warning of the power battery can be improved.

Further, in step 3, according to the first comparison result, the start-up mode of the power battery is judged, wherein the start-up mode includes an abnormal wake-up mode and a normal power-on mode, including: the position of the cloud map of the temperature distribution and the position of the preset fault cloud map same, and the color distribution of the temperature distribution cloud image is the same as the color distribution of the preset fault cloud image, the power battery is in abnormal wake-up mode. It should be noted that the preset fault cloud image refers to the temperature distribution image on the surface of the power battery in an abnormal state stored in the database. When the position and color distribution of the temperature distribution cloud image are the same as the preset fault cloud image, it means that the current power The battery is in an abnormal state.

Further, in step 3, according to the first comparison result, the start-up mode of the power battery is judged, wherein the start-up mode includes abnormal wake-up mode and normal power-on mode, and also includes: In the case of at least one of the position difference and the color distribution of the temperature distribution cloud map being different from the color distribution of the preset fault cloud map, the power battery is in the normal power-on mode. It should be noted that the preset fault cloud image refers to the temperature distribution image on the surface of the power battery in an abnormal state stored in the database. If the position and color distribution of the temperature distribution cloud image are not exactly the same as the preset fault cloud image, it cannot Data to determine whether the power battery is in the abnormal wake-up mode. At this time, the startup mode of the power battery is confirmed as the normal power-on mode for the time being, and a comprehensive early warning is carried out in the next step.

Further, in step S5, a control instruction set is generated based on the second comparison result, and the control instruction set is used to control the power battery to issue warning prompt information, including: when the power battery is in an abnormal wake-up mode, the maximum temperature difference value in the high temperature area If it is greater than the first verification threshold and the duration is greater than or equal to the first preset duration, the first target command in the control command set is generated, and the first target command is used to control the power battery to issue an early warning message indicating that the power battery has a thermal runaway risk. When the power battery is in the abnormal wake-up mode, it means that the temperature of a certain area on the surface of the power battery has reached the critical value of thermal runaway. After further verification of the temperature on the surface of the power battery, if the temperature range on the surface of the power battery is too large, it means that the power battery has appeared. Irreversible damage, i.e. there is a risk of thermal runaway.

It should be noted that the maximum temperature difference in the high temperature area is the difference between the highest temperature value and the lowest temperature value on the surface of the power battery collected by the thermal imaging temperature sampler. The first calibration threshold is set based on empirical values. A value range of the preset duration is 0.5s˜2s.

Further, in step S5, a control instruction set is generated based on the second comparison result, and the control instruction set is used to control the power battery to issue warning prompt information, including: when the power battery is in an abnormal wake-up mode, the maximum temperature in the high temperature area The difference between the rate of change and the rate of change of the lowest temperature is greater than the second verification threshold, and the duration is greater than or equal to the second preset duration, and a second target command in the control command set is generated, and the second target command is used to control the power battery to issue Warning message indicating that the power battery has the risk of thermal runaway. When the power battery is in the abnormal wake-up mode, it means that the temperature of a certain area on the surface of the power battery has reached the critical value of thermal runaway. By further checking the temperature change rate of the power battery surface, if the temperature change rate of the power battery surface is too large, it means The power battery has been irreversibly damaged, that is, there is a risk of thermal runaway.

It should be noted that the second verification threshold is set according to empirical values, and the value range of the second preset duration is 0.5s˜2s.

Among them, when the power battery is in the abnormal wake-up mode, and the temperature change on the surface of the power battery exceeds the third verification threshold, where the third verification threshold is set according to empirical values, in order to avoid safety problems caused by the surface of the power battery due to excessive temperature , the power battery needs to enter the high temperature protection mode, that is, to cool the power battery.

Further, in step S5, a control instruction set is generated based on the second comparison result, and the control instruction set is used to control the power battery to issue warning prompt information, including: when the power battery is in the normal power-on mode, the image parameters in the high temperature area are The reaction enthalpy calculated by the fitting is greater than the third verification threshold, and the third target command in the control command set is generated. The third target command is used to control the power battery to issue an early warning message indicating that the power battery has a thermal runaway risk.

It should be noted that when the power battery is in the normal power-on mode, it is impossible to judge whether there is a risk of thermal runaway in the power battery through a certain parameter. It is necessary to comprehensively judge as many parameters as possible, that is, to use the Gaussian function to calculate the area of the high-temperature area information, the color information of the high temperature area, the shape information of the high temperature area, the position information of the high temperature area and the temperature information of the high temperature area for fitting calculation.

In an exemplary embodiment of the present application, collecting the image information of the high-temperature area of the power battery includes: separately collecting image information of the high-temperature area of the power battery in the three-coordinate dimension, and analyzing the image information of the high-temperature area in the three-coordinate dimension The information is fitted to generate the stereoscopic image information of the high temperature area. Specifically, use matlab-simulink software to analyze, simulate, and fit the space of the battery module to form three-dimensional image information. It should be noted that by collecting the image information of each surface of the power battery and fitting it into three-dimensional image information, it is possible to more comprehensively judge the thermal Risk of loss of control.

In an exemplary embodiment of the present application, both the cloud database and the edge database of the power battery are provided with preset fault cloud images and preset verification information. During the early warning analysis process of the power battery thermal runaway, the cloud database and the edge database run concurrently. It should be noted that the call speed of the cloud database is relatively slow, but the stored data is comprehensive; the call speed of the edge database is relatively fast, but the stored data is not comprehensive; At the same time, it can comprehensively judge the risk of thermal runaway.

Example 2

According to another specific embodiment of the embodiment of the present invention, an early warning device for thermal runaway of a power battery is also provided, as shown in FIG. module 203 and generating module 204 . Wherein, the collection module 200 is used to collect the image information of the high temperature area of the power battery, wherein the image information includes: the area information of the high temperature area, the color information of the high temperature area, the shape information of the high temperature area, the position information of the high temperature area and the information of the high temperature area. temperature information. The first comparison module 201 is used to process the image information to obtain a temperature distribution nephogram of the power battery, and compare the temperature distribution nephogram with a preset fault nephogram to obtain a first comparison result. The judging module 202 is used for judging the start-up mode of the power battery according to the first comparison result, wherein the start-up mode includes an abnormal wake-up mode and a normal power-on mode. The second comparison module 203 is configured to compare the image information with the preset verification information according to the startup mode to obtain a second comparison result. The generation module 204 generates a control instruction set based on the second comparison result, and the control instruction set is used to control the power battery to issue early warning prompt information, wherein the early warning prompt information includes at least one of the following: information that the power battery has a risk of thermal runaway, and the power battery has no heat. Information on risks of loss of control.

The early warning device for thermal runaway of the power battery collects the image information of the high temperature area of the power battery, and determines the starting mode of the power battery according to the temperature distribution cloud image of the high temperature area, and then combines the starting mode of the power battery, image information and preset verification information Obtain the corresponding warning prompt information. In the above-mentioned early warning method, the image information includes multi-dimensional sampling information, and there is a direct or indirect connection between each sampling information, so each sampling information can play a role of mutual verification, avoiding the early warning prompt information being affected by the sampling accuracy or Effect of sampling failure.

Example 3

According to another specific embodiment of the embodiment of the present invention, there is also provided a vehicle, including a memory and a processor, where a computer program is stored in the memory, and the processor is configured to run the computer program to execute the above-mentioned early warning method.

In this embodiment, the above-mentioned processor may be configured to perform the following steps through a computer program:

Step S1: Collect image information of the high-temperature area of the power battery, wherein the image information includes: area information of the high-temperature area, color information of the high-temperature area, shape information of the high-temperature area, position information of the high-temperature area, and temperature information of the high-temperature area.

Step S2: Process the image information to obtain a temperature distribution cloud image of the power battery, and compare the temperature distribution cloud image with a preset fault cloud image to obtain a first comparison result.

Step S3: According to the first comparison result, determine the start-up mode of the power battery, wherein the start-up mode includes an abnormal wake-up mode and a normal power-on mode.

Step S4: According to the startup mode, compare the image information with the preset verification information to obtain a second comparison result.

Step S5: Generate a control instruction set based on the second comparison result, the control instruction set is used to control the power battery to issue early warning prompt information, wherein the early warning prompt information includes at least one of the following: information that the power battery has a risk of thermal runaway, and the power battery has no heat. Information on risks of loss of control.

In the above steps S1 to S5, by collecting the image information of the high-temperature area of the power battery, the start-up mode of the power battery is determined according to the temperature distribution cloud image of the high-temperature area, and then combined with the start-up mode of the power battery, image information and preset verification Information to obtain the corresponding warning prompt information. In the above-mentioned early warning method, the image information includes multi-dimensional sampling information, and there is a direct or indirect connection between each sampling information, so each sampling information can play a role of mutual verification, avoiding the early warning prompt information being affected by the sampling accuracy or Effect of sampling failure.

The serial numbers of the above embodiments of the present invention are for description only, and do not represent the advantages and disadvantages of the embodiments.

In the above-mentioned embodiments of the present invention, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed technical content can be realized in other ways. Wherein, the device embodiments described above are only illustrative. For example, the division of the units may be a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or may be Integrate into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of units or modules may be in electrical or other forms.

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

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes. .

The above is only a preferred embodiment of the present invention, it should be pointed out that, for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications can also be made. It should be regarded as the protection scope of the present invention.

Claims (12)

1. A method for early warning of thermal runaway of a power battery, characterized in that it comprises: Collect image information of the high temperature area of the power battery, wherein the image information includes: area information of the high temperature area, color information of the high temperature area, shape information of the high temperature area, position information of the high temperature area and temperature information of the high temperature area; Processing the image information to obtain a temperature distribution cloud image of the power battery, and comparing the temperature distribution cloud image with a preset fault cloud image to obtain a first comparison result; According to the first comparison result, determine the start-up mode of the power battery, wherein the start-up mode includes an abnormal wake-up mode and a normal power-on mode; According to the startup mode, comparing the image information with preset verification information to obtain a second comparison result; A control instruction set is generated based on the second comparison result, and the control instruction set is used to control the power battery to issue early warning prompt information, wherein the early warning prompt information includes at least one of the following: the power battery has a risk of thermal runaway information, information that the power battery has no risk of thermal runaway. 2. The early warning method according to claim 1, characterized in that, before processing the image information, image segmentation is performed on the high temperature region according to the image information to obtain a plurality of segmented images. 3. The early warning method according to claim 2, characterized in that, according to the image information, performing image segmentation on the high temperature region comprises: Combining the color information of the high-temperature region, the high-temperature region is converted into a color space, wherein the color space includes three segmentation parameters of hue, saturation and brightness, and the Image segmentation for high temperature regions. 4. The early warning method according to claim 1 or 2, characterized in that, according to the first comparison result, the start-up mode of the power battery is judged, wherein the start-up mode includes abnormal wake-up mode and normal power-on mode ,include: When the position of the temperature distribution cloud map is the same as that of the preset fault cloud map, and the color distribution of the temperature distribution cloud map is the same as the color distribution of the preset fault cloud map, the power battery is abnormally awakened model. 5. The early warning method according to claim 1 or 2, characterized in that, according to the first comparison result, the start-up mode of the power battery is judged, wherein the start-up mode includes an abnormal wake-up mode and a normal power-on mode ,Also includes: In the case where at least one of the position of the temperature distribution cloud image and the preset fault cloud image is different from the color distribution of the temperature distribution cloud image and the preset fault cloud image is different, the The power battery is in normal power-on mode. 6. The early warning method according to claim 1 or 2, wherein a control instruction set is generated based on the second comparison result, and the control instruction set is used to control the power battery to issue early warning prompt information, including: When the power battery is in the abnormal wake-up mode, the maximum temperature difference in the high temperature area is greater than the first verification threshold, and the duration is greater than or equal to the first preset duration, and the first target in the control instruction set is generated Instructions, the first target instruction is used to control the power battery to issue an early warning message indicating that the power battery has a risk of thermal runaway. 7. The early warning method according to claim 1 or 2, wherein a control instruction set is generated based on the second comparison result, and the control instruction set is used to control the power battery to issue early warning prompt information, including: When the power battery is in the abnormal wake-up mode, the difference between the rate of change of the highest temperature and the rate of change of the lowest temperature in the high temperature area is greater than the second verification threshold, and the duration is greater than or equal to the second preset time , generating a second target instruction in the set of control instructions, the second target instruction being used to control the power battery to issue an early warning message indicating that the power battery has a risk of thermal runaway. 8. The early warning method according to claim 1 or 2, wherein a control instruction set is generated based on the second comparison result, and the control instruction set is used to control the power battery to issue early warning prompt information, including: When the power battery is in the normal power-on mode, the reaction enthalpy calculated by fitting the image parameters in the high-temperature region is greater than the third verification threshold, and the third target instruction in the control instruction set is generated, and the The third target instruction is used to control the power battery to issue an early warning message indicating that the power battery has a risk of thermal runaway. 9. The early warning method according to claim 1, characterized in that collecting the image information of the high temperature area of the power battery includes: The image information of the high-temperature area of the power battery in the three-coordinate dimension is respectively collected, and the image information of the high-temperature area in the three-coordinate dimension is fitted to generate the stereoscopic image information of the high-temperature area. 10. The early warning method according to claim 1, wherein the cloud database and the edge database of the power battery are provided with the preset fault cloud image and the preset verification information, and the power battery During the early warning analysis process of thermal runaway, the cloud database and the edge database run simultaneously. 11. An early warning device for thermal runaway of a power battery, characterized in that it comprises: A collection module, the collection module is used to collect the image information of the high temperature area of the power battery, wherein the image information includes: the area information of the high temperature area, the color information of the high temperature area, and the shape information of the high temperature area . Position information of the high temperature area and temperature information of the high temperature area; A first comparison module, the first comparison module is used to process the image information, obtain the temperature distribution cloud image of the power battery, and compare the temperature distribution cloud image with a preset fault cloud image to obtain a first comparison result; A judging module, the judging module is used to judge the starting mode of the power battery according to the first comparison result, wherein the starting mode includes an abnormal wake-up mode and a normal power-on mode; A second comparison module, the second comparison module is used to compare the image information with the preset verification information according to the startup mode to obtain a second comparison result; A generation module, the generation module generates a control instruction set based on the second comparison result, and the control instruction set is used to control the power battery to issue early warning prompt information, wherein the early warning prompt information includes at least one of the following: Information that the power battery has a risk of thermal runaway, and information that the power battery has no risk of thermal runaway. 12. A vehicle comprising a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to perform any one of claims 1-10 The above-mentioned early warning method.