CN113484760B - Battery thermal runaway identification method, device, equipment and storage medium - Google Patents
Battery thermal runaway identification method, device, equipment and storage medium Download PDFInfo
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- CN113484760B CN113484760B CN202110787138.0A CN202110787138A CN113484760B CN 113484760 B CN113484760 B CN 113484760B CN 202110787138 A CN202110787138 A CN 202110787138A CN 113484760 B CN113484760 B CN 113484760B
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Abstract
The application discloses a battery thermal runaway identification method, a device, equipment and a storage medium, wherein the method comprises the following steps: acquiring initial test internal resistance of a target battery in a normal state, wherein the target battery is in a constant temperature environment and is in a floating charge state for a long time; obtaining a plurality of test internal resistances of a target battery in a preset time period; constructing a plurality of double-exponential models for testing internal resistance; inputting the double-exponential model into an extended Kalman filter for processing to obtain model parameters of the double-exponential model; the current double-exponential model is subjected to derivation to obtain the internal resistance reduction speed of the target battery in a preset time period; based on the internal resistance drop speed, a thermal runaway state of the target battery is identified. By the aid of the technical scheme, the short-circuit internal resistance of the target battery can be obtained by obtaining the test internal resistance of the target battery, the thermal runaway state of the target battery is identified by the descending change of the short-circuit resistance of the target battery before thermal runaway occurs, and effective identification of the thermal runaway state of the battery is achieved.
Description
Technical Field
The application relates to the technical field of batteries, in particular to a battery thermal runaway identification method, device, equipment and storage medium.
Background
With the rapid development of information economy represented by the internet, cloud computing and big data, data centers have become important infrastructures of information society, and are increasingly arranged and developed at home and abroad. From the construction requirements of the existing machine room data center, an Uninterruptible Power Supply (UPS) system needs to have the characteristics of high efficiency, high availability, intellectualization and the like so as to assist the construction of a green, efficient, energy-saving and stable machine room. UPS (uninterruptible power supply) systems require that batteries be selected for their characteristics to output large currents in a short time. The battery is an important component of a UPS (uninterruptible power supply) system, and the quality of the battery is directly related to the reliability of the whole UPS (uninterruptible power supply) system.
For the storage battery for energy storage, at present, no reliable method is available for judging thermal runaway of the battery, because the storage battery is basically in a floating charge state, when the battery is subjected to internal short circuit, loop current is not influenced and still appears as floating charge current; when the battery is slightly short-circuited, the voltage of the battery does not change obviously, and many algorithms which need to dynamically acquire battery data to perform thermal runaway judgment cannot be realized in the state, so that a more scientific and effective technical scheme needs to be provided.
Disclosure of Invention
The application provides a battery thermal runaway identification method, a device, equipment and a storage medium, which can realize effective identification of a battery thermal runaway state and avoid influencing normal operation of an uninterruptible power supply due to the battery thermal runaway state, and the technical scheme of the application is as follows:
in one aspect, a battery thermal runaway identification method is provided, and the method includes:
acquiring initial test internal resistance of a target battery in a normal state, wherein the target battery is in a constant temperature environment and is in a floating charge state for a long time;
acquiring a plurality of test internal resistances of the target battery in a preset time period;
constructing a double-index model of the plurality of test internal resistances;
inputting the bi-exponential model into an extended Kalman filter for processing to obtain model parameters of the bi-exponential model;
the current double-exponential model is subjected to derivation to obtain the internal resistance reduction speed of the target battery in the preset time period;
and identifying a thermal runaway state of the target battery based on the internal resistance reduction speed.
In another aspect, a battery thermal runaway recognition apparatus is provided, the apparatus including:
the device comprises an initial test internal resistance acquisition module, a control module and a control module, wherein the initial test internal resistance acquisition module is used for acquiring an initial test internal resistance of a target battery in a normal state, and the target battery is in a constant temperature environment and is in a floating charge state for a long time;
the test internal resistance acquisition module is used for acquiring a plurality of test internal resistances of the target battery in a preset time period;
the dual-exponential model building module is used for building the dual-exponential models of the plurality of test internal resistances;
the model parameter module is used for inputting the dual-exponential model into an extended Kalman filter for processing to obtain model parameters of the dual-exponential model;
the internal resistance decreasing speed module is used for deriving the current double-exponential model to obtain the internal resistance decreasing speed of the target battery in the preset time period;
and the first thermal runaway state identification module is used for identifying the thermal runaway state of the target battery based on the internal resistance reduction speed.
In another aspect, a battery thermal runaway identification device is provided, where the device includes a processor and a memory, where at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the battery thermal runaway identification method as described above.
In another aspect, a computer-readable storage medium is provided, in which at least one instruction or at least one program is stored, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the battery thermal runaway identification method as described above.
The battery thermal runaway identification method, device, equipment and storage medium have the following technical effects:
the battery thermal runaway state is identified by using the battery internal resistance characteristic, based on the principle that the smaller the short-circuit resistance is, the smaller the test internal resistance is, the short-circuit resistance of the battery is obtained by obtaining the test internal resistance of the battery, the test internal resistance is estimated and corrected by using the extended Kalman filter, and the accuracy of the test internal resistance is improved, so that the battery thermal runaway state is identified by using the descending change of the test internal resistance before the thermal runaway occurs, the battery thermal runaway state is effectively identified, and the normal operation of the uninterruptible power supply is prevented from being influenced by the battery thermal runaway state.
Drawings
In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flowchart of a method for identifying a thermal runaway of a battery according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for obtaining internal resistance of a target battery in a test according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart diagram illustrating another method for identifying a thermal runaway of a battery according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a device for identifying thermal runaway of a battery according to an embodiment of the present application;
fig. 5 is a block diagram of a hardware structure of a server in a battery thermal runaway identification method according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the accompanying drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be implemented in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a schematic flow diagram of a method for determining thermal runaway of a lead-acid battery provided in the embodiment of the present application. It is noted that the present specification provides the method steps as described in the examples or flowcharts, but may include more or less steps based on routine or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. In actual system or product execution, sequential execution or parallel execution (e.g., parallel processor or multi-threaded environment) may be possible according to the embodiments or methods shown in the figures. Specifically, as shown in fig. 1, the method may include:
s101, obtaining initial test internal resistance of a target battery in a normal state, wherein the target battery is in a constant temperature environment and is in a floating charge state for a long time.
In a specific embodiment, the target battery is in a working environment with a constant temperature and is in a float charging state for a long time, the battery state of charge is 100%, and the battery aging state is a long-term slow process, so that the battery aging state of the target battery can be considered to be unchanged when the test resistance of the target battery is obtained, specifically, the target battery may include, but is not limited to, a storage battery and a lithium battery, and in an alternative embodiment, the target battery may be a lead-acid storage battery.
And S103, acquiring a plurality of test internal resistances of the target battery in a preset time period.
In a specific embodiment, the preset time period may include any time period during which the target battery changes from the normal state to the thermal runaway state.
In practical applications, the acquisition method for testing the internal resistance may include, but is not limited to, a direct current discharge method and an alternating current injection method.
In a specific embodiment, as shown in fig. 2, the obtaining of the plurality of test internal resistances of the target battery in the preset time period may include:
and S201, collecting a plurality of test voltages and a plurality of test currents of the target battery in the preset time period.
In an alternative embodiment, based on a dc discharge method, a transient load current is generated from the target battery to the load and then a transient voltage drop of the target battery voltage is measured. Specifically, the target battery is connected with the external internal resistance testing device, and the switching frequency and the duty ratio of the testing internal resistance of the external internal resistance testing device are preset, specifically, the switching frequency may be 1kHz, and the duty ratio may be 50%. Acquiring voltage data and current data of a target battery, obtaining a voltage amplitude volt and a current amplitude current under 1kHz main frequency through fast Fourier transform, taking the voltage amplitude volt as a test voltage, and taking the current amplitude current as a test current.
Specifically, the plurality of test voltages and the plurality of test currents may be a plurality of test voltages and a plurality of test currents obtained through a plurality of tests based on a preset test frequency within a preset time period.
And S203, processing the plurality of test voltages and the plurality of test currents based on ohm' S law to obtain the plurality of test internal resistances.
In practical applications, the resistance can be obtained by dividing the voltage by the current based on ohm's law.
In a specific embodiment, the test voltage obtained by each test is divided by the test current obtained by each test to obtain the test internal resistance of the test, and a plurality of test internal resistances R are obtained after a plurality of testsr,kAnd (k is 1,2,3 … …), wherein r represents the internal resistance of the test, and k represents the identification information of the current test.
And S105, constructing the double-index models for testing the internal resistance.
Specifically, a plurality of internal resistance tests are expressed by a double-index model to obtain
And S107, inputting the dual-exponential model into an extended Kalman filter for processing to obtain model parameters of the dual-exponential model.
Specifically, the processing of the dual-index model may include:
1) construction of model parameter a in double-index model1、a2、a3And a4The equation of state of (a) yields:
xn＝[a1，n a2，n a3，n a4,n]T
wherein n is the number of state iterations; omegaa1～ωa4Noise with mean 0; sigmaa1～σa4Is the variance of the parametric noise;
obtaining a corresponding observation equation:
2) model parameter a through discrete extended Kalman filter formula1、a2、a3And a4Iterative optimization is carried out to obtain the optimal estimation a1、a2、a3And a4。
3) A to be optimally estimated1、a2、a3And a4And substituting the double-exponential model into the double-exponential model to obtain the current double-exponential model.
And S109, deriving the current bi-exponential model to obtain the internal resistance reduction speed of the target battery in the preset time period.
Specifically, the derivation formula is as follows:
And S111, identifying the thermal runaway state of the target battery based on the internal resistance reduction speed.
In an alternative embodiment, as shown in fig. 3, the method may further include:
and S113, dividing the plurality of test internal resistances by the initial test internal resistance respectively to obtain the internal resistance reduction rate of the target battery in the preset time period.
Specifically, the internal resistance obtained in each test is divided by the internal resistance obtained in the initial test to obtain the internal resistance reduction rate of the target battery in the test, for example, the internal resistance R obtained in the test of the 1 st time is divided by the internal resistance obtained in the initial testr,1Divided by the initial test internal resistance Rr,0The first internal resistance reduction rate of the target battery is reached, and the test internal resistance R obtained by the 2 nd test is usedr,2Divided by the initial test internal resistance Rr,0Obtaining a second internal resistance reduction rate of the target battery, and testing the internal resistance R obtained in the 8 th testr,8Divided by the initial test internal resistance Rr,0And obtaining the eighth internal resistance reduction rate of the target battery.
Accordingly, the identifying the thermal runaway state of the target battery based on the internal resistance decreasing speed may include:
and S115, identifying the thermal runaway state of the target battery based on the internal resistance reduction speed and/or the internal resistance reduction rate.
According to the embodiment, the thermal runaway state of the target battery is identified based on the internal resistance reduction speed and/or the internal resistance reduction rate, and the accuracy of battery thermal runaway identification is improved.
In a specific embodiment, the identifying the thermal runaway state of the target battery based on the internal resistance decreasing speed and/or the internal resistance decreasing rate may include:
and when the internal resistance reduction rate meets a first preset reduction rate condition and/or the internal resistance reduction speed meets a first preset reduction speed condition, determining that the target battery is in a thermal runaway state.
Specifically, internal resistance monitoring is carried out on the state change process of a large number of sample batteries changing from a normal state to a thermal runaway state, internal resistance monitoring results are obtained, and a first preset reduction rate condition and a first preset reduction speed condition for identifying that the sample batteries are in the thermal runaway state are summarized and summarized based on the internal resistance monitoring results and sample battery working data, wherein the sample battery working data can include but is not limited to a battery voltage platform, battery capacity, float voltage, float current and test time.
In an optional embodiment, the method may further include:
1) and when the internal resistance reduction rate meets a second preset reduction rate condition and/or the internal resistance reduction speed meets a second preset reduction speed condition, determining that the target battery is in a normal state.
2) And when the internal resistance reduction rate meets a third preset reduction rate condition and/or the internal resistance reduction speed meets a third preset reduction speed condition, determining that the target battery is in a first short-circuit state.
3) And when the internal resistance reduction rate meets a fourth preset reduction rate condition and/or the internal resistance reduction speed meets a fourth preset reduction speed condition, determining that the target battery is in a second short-circuit state, wherein the severity of the damage of the target battery caused by the second short-circuit state is greater than that of the damage of the target battery caused by the first short-circuit state.
In practical applications, the battery is usually changed from a normal state to a short-circuit state, and then from the short-circuit state to a thermal runaway state. Therefore, before the target battery is in the thermal runaway state, the short-circuit state of the target battery can be identified and monitored based on two internal resistance reduction indexes, namely the internal resistance reduction rate and the internal resistance reduction speed. Specifically, the short circuit state is classified into a first short circuit state and a second short circuit state based on the severity of damage to the target battery from the short circuit state.
In a specific embodiment, the internal resistance monitoring is performed on the state change process of a large number of sample batteries to obtain an internal resistance monitoring result, and a second preset falling rate condition and a second preset falling speed condition for identifying that the sample batteries are in a normal state, a third preset falling rate condition and a third preset falling speed condition for identifying that the sample batteries are in a first short-circuit state, and a fourth preset falling rate condition and a fourth preset falling speed condition for identifying that the sample batteries are in a second short-circuit state are summarized and summarized based on the internal resistance monitoring result and the sample battery working data, wherein the sample battery working data may include, but is not limited to, a battery voltage plateau, a battery capacity, a float voltage, a float current, and a test time.
In an alternative embodiment, when the target battery is in a constant temperature working environment of 25 ℃ and is in a float charging state for a long time, the state of charge is kept at 100%, the aging state of the battery is kept at 100%,
the first preset decreasing rate condition may be an internal resistance decreasing rate e (0, 90% >), and the first preset decreasing rate condition may be an internal resistance decreasing rate e (— infinity, -0.01 ];
the second preset reduction rate condition may be a reduction rate e (99%, + ∞) of the internal resistance, and the second preset reduction rate condition may be a reduction rate e (-0.001, + ∞) of the internal resistance;
the third preset decreasing rate condition may be that the internal resistance decreasing rate belongs to (95%, 99%), and the first preset decreasing rate condition may be that the internal resistance decreasing rate belongs to (-0.005, -0.001 ];
the fourth preset decreasing rate condition may be an internal resistance decreasing rate e (90%, 95%), and the fourth preset decreasing rate condition may be an internal resistance decreasing rate e (-0.01, -0.005%).
In a specific embodiment, the obtaining of the plurality of test internal resistances of the target battery in the preset time period may include: and acquiring a plurality of test internal resistances of the target battery based on a preset test frequency.
In practical applications, the preset test frequency may be preset based on the internal resistance test requirement of the target battery, for example, when the target battery is in a normal operating state, the preset test frequency may be 2 hours, 1 day, or 1 month.
Specifically, when the target battery is in the second short-circuit state, the method may further include:
and updating the preset test frequency to obtain an updated test frequency, wherein the updated test frequency is higher than the preset test frequency.
In practical application, when the target battery is identified to be in the second short circuit state, the thermal runaway state of the target battery is timely monitored and identified by improving the test frequency.
In an optional embodiment, the method may further include:
1) triggering a thermal runaway primary alarm notification when the target battery is in a second short-circuit state;
2) and triggering a thermal runaway secondary alarm notice when the target battery is in a thermal runaway state.
In practical application, the warning notification of the thermal runaway is graded to remind a battery maintainer to maintain and replace the battery in the second short circuit state and the thermal runaway state in time, so that the normal work of a power supply system is ensured.
It can be seen from the above technical solutions provided in the embodiments of the present specification that, by obtaining an initial test internal resistance of a target battery in a normal state and a plurality of test internal resistances in a preset time period, on one hand, an extended kalman filter is used to estimate and correct the test internal resistances and improve the accuracy of the test internal resistance, so as to identify a thermal runaway state of the battery according to a decrease change of the test internal resistance before the thermal runaway occurs, thereby achieving effective identification of the thermal runaway state of the battery, on the other hand, the thermal runaway state of the battery can be identified according to two internal resistance decrease indexes, namely, an internal resistance decrease rate and an internal resistance decrease speed, thereby improving the efficiency and the accuracy of the identification, on the other hand, a plurality of short circuit states of the battery during the process from the normal state to the thermal runaway state can be identified, when the battery is in a second short circuit state, a corresponding thermal runaway early warning notification is triggered, and battery maintenance personnel are reminded to check and maintain the battery in time, and the battery is prevented from further developing into a thermal runaway state.
The embodiment of the application provides a battery thermal runaway recognition device, as shown in fig. 4, the device may include:
an initial test internal resistance obtaining module 410, configured to obtain an initial test internal resistance of a target battery in a normal state, where the target battery is in a temperature-constant environment and is in a floating state for a long time;
a test internal resistance obtaining module 420, configured to obtain multiple test internal resistances of the target battery within a preset time period;
a dual-exponential model construction module 430, configured to construct the dual-exponential models for testing the internal resistances;
a model parameter module 440, configured to input the dual-exponential model into an extended kalman filter for processing, so as to obtain a model parameter of the dual-exponential model;
the internal resistance decreasing speed module 450 is configured to derive a current bi-exponential model to obtain an internal resistance decreasing speed of the target battery in the preset time period;
the first thermal runaway state identification module 460 is configured to identify a thermal runaway state of the target battery based on the internal resistance decreasing speed.
In this embodiment of the present specification, the testing internal resistance obtaining module 420 may include:
the test voltage and test current acquisition unit is used for acquiring a plurality of test voltages and a plurality of test currents of the target battery in the preset time period;
and the first test internal resistance obtaining unit is used for processing the plurality of test voltages and the plurality of test currents based on ohm law to obtain the plurality of test internal resistances.
In an optional embodiment, the apparatus may further include:
the internal resistance reduction rate calculation module is used for respectively dividing the plurality of test internal resistances by the initial test internal resistance to obtain the internal resistance reduction rate of the target battery in the preset time period;
and the second thermal runaway state identification module is used for identifying the thermal runaway state of the target battery based on the internal resistance reduction speed and/or the internal resistance reduction rate.
In a specific embodiment, the second thermal runaway state identification module may include:
and the thermal runaway state determining unit is used for determining that the target battery is in a thermal runaway state when the internal resistance reduction rate meets a first preset reduction rate condition and/or the internal resistance reduction speed meets a first preset reduction speed condition.
In an optional embodiment, the apparatus may further include:
a normal state determination unit, configured to determine that the target battery is in a normal state when the internal resistance decrease rate satisfies a second preset decrease rate condition and/or the internal resistance decrease speed satisfies a second preset decrease speed condition;
a first short-circuit state determination unit, configured to determine that the target battery is in a first short-circuit state when the internal resistance decrease rate satisfies a third preset decrease rate condition and/or the internal resistance decrease speed satisfies a third preset decrease speed condition;
and a second short-circuit state determination unit, configured to determine that the target battery is in a second short-circuit state when the internal resistance decrease rate satisfies a fourth preset decrease rate condition and/or the internal resistance decrease speed satisfies a fourth preset decrease speed condition, where a severity of damage to the target battery from the second short-circuit state is greater than a severity of damage to the target battery from the first short-circuit state.
In this embodiment of the present specification, the testing internal resistance obtaining module 420 may further include:
a second test internal resistance obtaining unit, configured to obtain a plurality of test internal resistances of the target battery based on a preset test frequency;
correspondingly, when the target battery is in the second short-circuit state, the apparatus may further include:
and the test frequency updating unit is used for updating the preset test frequency to obtain an updated test frequency, and the updated test frequency is higher than the preset test frequency.
The embodiment of the application provides a battery thermal runaway identification device, which includes a processor and a memory, where the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the battery thermal runaway identification method provided by the above method embodiment.
The memory may be used to store software programs and modules, and the processor may execute various functional applications and data processing by operating the software programs and modules stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs needed by functions and the like; the storage data area may store data created according to the use of the above-described apparatus, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory may also include a memory controller to provide the processor access to the memory.
The method embodiments provided in the embodiments of the present application may be executed in a mobile terminal, a computer terminal, a server, or a similar computing device, that is, the computer device may include a mobile terminal, a computer terminal, a server, or a similar computing device. Taking an example of the method running on a server, fig. 5 is a hardware structure block diagram of the server of the battery thermal runaway identification method provided in the embodiment of the present application. As shown in fig. 5, the server 500 may have a relatively large difference due to different configurations or performances, and may include one or more Central Processing Units (CPUs) 510 (the processor 510 may include but is not limited to a Processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 530 for storing data, and one or more storage media 520 (e.g., one or more mass storage devices) for storing application programs 523 or data 522. Memory 530 and storage medium 520 may be, among other things, transient storage or persistent storage. The program stored on the storage medium 520 may include one or more modules, each of which may include a series of instruction operations for the server. Still further, the central processor 510 may be configured to communicate with the storage medium 520 to execute a series of instruction operations in the storage medium 520 on the server 500. The server 500 may also include one or more power supplies 550, one or more wired or wireless network interfaces 550, one or more input-output interfaces 540, and/or one or more operating systems 521, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and so forth.
The input/output interface 540 may be used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the server 500. In one example, the input/output Interface 540 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the input/output interface 540 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
It will be understood by those skilled in the art that the structure shown in fig. 5 is only an illustration and is not intended to limit the structure of the electronic device. For example, server 500 may also include more or fewer components than shown in FIG. 5, or have a different configuration than shown in FIG. 5.
The present application further provides a storage medium, where the storage medium may be disposed in a server to store at least one instruction or at least one program for implementing a battery thermal runaway identification method in the method embodiments, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the battery thermal runaway identification method provided in the method embodiments.
Alternatively, in this embodiment, the storage medium may be located in at least one network server of a plurality of network servers of a computer network. Optionally, in this embodiment, the storage medium may include but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
It can be seen from the above embodiments of the method, apparatus, device or storage medium for identifying a thermal runaway of a battery provided by the present application that, by obtaining an initial test internal resistance of a target battery in a normal state and a plurality of test internal resistances within a preset time period, on one hand, an extended kalman filter is used to estimate and correct the test internal resistance and improve the accuracy of the test internal resistance, so as to identify the thermal runaway state of the battery by a decrease change in the test internal resistance before the thermal runaway occurs and realize effective identification of the thermal runaway state of the battery, on the other hand, the thermal runaway state of the battery can be identified by two internal resistance decrease indexes, namely, an internal resistance decrease rate and an internal resistance decrease speed, so as to improve the efficiency and the accuracy of identification, and on the other hand, a plurality of short circuit states of the battery during a process from the normal state to the thermal runaway state can be identified, when the battery is in the second short-circuit state, a corresponding thermal runaway early warning notice is triggered to remind a battery maintainer to check and maintain the battery in time, so that the battery is prevented from further developing into a thermal runaway state.
It should be noted that: the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And that specific embodiments have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus, device and storage medium embodiments, since they are substantially similar to the method embodiments, the description is relatively simple and reference may be made to the partial description of the method embodiments for relevant points.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware to implement the above program, and the above program may be stored in a computer-readable storage medium, where the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A battery thermal runaway identification method, the method comprising:
acquiring initial test internal resistance of a target battery in a normal state, wherein the target battery is in a constant temperature environment and is in a floating charge state for a long time;
obtaining a plurality of test internal resistances of the target battery in a preset time period;
constructing a double-index model of the plurality of test internal resistances;
inputting the bi-exponential model into an extended Kalman filter for processing to obtain model parameters of the bi-exponential model;
the derivative is carried out on the double-exponential model substituted into the model parameters to obtain the internal resistance reduction speed of the target battery in the preset time period;
and identifying a thermal runaway state of the target battery based on the internal resistance reduction speed.
2. The method of claim 1, further comprising:
dividing the plurality of test internal resistances by the initial test internal resistance respectively to obtain the internal resistance reduction rate of the target battery in the preset time period;
correspondingly, the identifying the thermal runaway state of the target battery based on the internal resistance decreasing speed comprises:
identifying a thermal runaway state of the target battery based on the internal resistance decrease rate and/or the internal resistance decrease rate.
3. The method of claim 2, wherein the identifying the thermal runaway condition of the target battery based on the rate of decrease of the internal resistance and/or the rate of decrease of the internal resistance comprises:
and when the internal resistance reduction rate meets a first preset reduction rate condition and/or the internal resistance reduction speed meets a first preset reduction speed condition, determining that the target battery is in a thermal runaway state.
4. The method of claim 2, further comprising:
when the internal resistance reduction rate meets a second preset reduction rate condition and/or the internal resistance reduction speed meets a second preset reduction speed condition, determining that the target battery is in a normal state;
when the internal resistance reduction rate meets a third preset reduction rate condition and/or the internal resistance reduction speed meets a third preset reduction speed condition, determining that the target battery is in a first short-circuit state;
and when the internal resistance reduction rate meets a fourth preset reduction rate condition and/or the internal resistance reduction speed meets a fourth preset reduction speed condition, determining that the target battery is in a second short-circuit state, wherein the severity of the damage of the second short-circuit state to the target battery is greater than the severity of the damage of the first short-circuit state to the target battery.
5. The method according to any one of claims 1 to 4, wherein the obtaining of the plurality of test internal resistances of the target battery within the preset time period comprises:
collecting a plurality of test voltages and a plurality of test currents of the target battery in the preset time period;
and processing the plurality of test voltages and the plurality of test currents based on ohm's law to obtain the plurality of test internal resistances.
6. The method of claim 4, wherein the obtaining a plurality of test internal resistances of the target battery over a preset time period comprises:
and acquiring a plurality of test internal resistances of the target battery based on a preset test frequency.
7. The method of claim 6, wherein when the target battery is in the second short circuit state, the method further comprises:
and updating the preset test frequency to obtain an updated test frequency, wherein the updated test frequency is higher than the preset test frequency.
8. A battery thermal runaway identification device, the device comprising:
the device comprises an initial test internal resistance acquisition module, a control module and a control module, wherein the initial test internal resistance acquisition module is used for acquiring an initial test internal resistance of a target battery in a normal state, and the target battery is in a constant temperature environment and is in a floating charge state for a long time;
the test internal resistance acquisition module is used for acquiring a plurality of test internal resistances of the target battery in a preset time period;
the dual-exponential model building module is used for building the dual-exponential models of the plurality of testing internal resistances;
the model parameter module is used for inputting the dual-exponential model into an extended Kalman filter for processing to obtain model parameters of the dual-exponential model;
the internal resistance decreasing speed module is used for deriving the double-exponential model substituted into the model parameters to obtain the internal resistance decreasing speed of the target battery in the preset time period;
and the first thermal runaway state identification module is used for identifying the thermal runaway state of the target battery based on the internal resistance reduction speed.
9. A battery thermal runaway identification device comprising a processor and a memory having at least one instruction or at least one program stored therein, the at least one instruction or the at least one program being loaded and executed by the processor to implement the battery thermal runaway identification method according to any one of claims 1 to 7.
10. A computer-readable storage medium, wherein at least one instruction or at least one program is stored in the storage medium, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the battery thermal runaway identification method according to any one of claims 1 to 7.
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