Battery thermal runaway risk assessment method and related device

Abstract

The embodiment of the invention relates to the technical field of power batteries, and provides a battery thermal runaway risk assessment method and related device.The method comprises the steps that state assessment parameters of a to-be-detected battery are obtained, and the state assessment parameters comprise a temperature parameter, a current parameter and a voltage parameter; constructing a state change curve by adopting the temperature parameter, the current parameter and the voltage parameter to obtain a first state change curve, performing thermal runaway risk prediction by adopting the first state change curve to obtain a thermal runaway risk prediction result, and performing thermal runaway risk assessment according to the thermal runaway risk prediction result to obtain a thermal runaway risk assessment result. Therefore, the accuracy of the thermal runaway risk assessment of the battery is improved.

Description

Technical Field

[0001] The present application relates to the technical field of power batteries, and in particular to a battery thermal runaway risk assessment method and related devices. Background Art

[0002] With the success of new energy vehicles, traditional enterprises have been moving towards new energy. New energy vehicles such as forklifts have emerged. The demand for battery production has doubled, and with it comes frequent battery accidents. The country and major battery manufacturers are using various means to understand the health status of batteries and try to solve the problem of battery spontaneous combustion to avoid battery runaway or battery performance degradation due to overheating, which may cause safety problems and even threaten human life and property. Therefore, it is necessary to conduct regular thermal runaway risk assessments on batteries.

[0003] In the existing solutions, the thermal runaway risk assessment of new energy batteries is usually carried out by adopting a mechanism analysis method for new energy batteries. This method cannot predict the battery temperature in real time online, resulting in the inability to provide early warning to the driver during the driving process of the car, and the inability to detect new energy vehicle failures in advance, resulting in insufficient accuracy in the thermal runaway risk assessment of the battery. Summary of the invention

[0004] The embodiments of the present application provide a battery thermal runaway risk assessment method and related devices, which can automatically predict the thermal runaway risk of a battery to be tested based on the state assessment parameters of the battery to be tested, and evaluate the risk prediction results to generate a thermal runaway risk assessment result, thereby improving the accuracy of the battery thermal runaway risk assessment.

[0005] A first aspect of an embodiment of the present application provides a method for assessing the risk of thermal runaway of a battery, the method comprising:

[0006] Acquire state evaluation parameters of the battery to be tested, wherein the state evaluation parameters include temperature parameters, current parameters and voltage parameters;

[0007] Constructing a state change curve using the temperature parameter, current parameter and voltage parameter to obtain a first state change curve;

[0008] Using the first state change curve to perform thermal runaway risk prediction, to obtain a thermal runaway risk prediction result;

[0009] A thermal runaway risk assessment is performed according to the thermal runaway risk prediction result to obtain a thermal runaway risk assessment result.

[0010] In this example, by obtaining state assessment parameters of the battery to be tested, the state assessment parameters include temperature parameters, current parameters and voltage parameters, the temperature parameters, current parameters and voltage parameters are used to construct a state change curve to obtain a first state change curve, the first state change curve is used to predict the thermal runaway risk to obtain a thermal runaway risk prediction result, a thermal runaway risk assessment is performed based on the thermal runaway risk prediction result to obtain a thermal runaway risk assessment result, thereby improving the accuracy of the battery thermal runaway risk assessment.

[0011] In a possible implementation manner, the state change curve is constructed by using the temperature parameter, the current parameter and the voltage parameter to obtain a first state change curve, including:

[0012] constructing a current variation curve using the current parameter to obtain a first current variation curve;

[0013] constructing a temperature change curve using the temperature parameter to obtain a first temperature change curve;

[0014] constructing a voltage variation curve using the voltage parameter to obtain a first voltage variation curve;

[0015] The first state variation curve is determined according to the first current variation curve, the first voltage variation curve, and the first temperature variation curve.

[0016] In a possible implementation manner, determining the first state change curve according to the first current change curve, the first voltage change curve, and the first temperature change curve includes:

[0017] determining a current state change curve according to the first current change curve;

[0018] determining a voltage state change curve according to the first voltage change curve;

[0019] The current state change curve and the voltage state change curve are fused to obtain a voltage and current state change curve;

[0020] The first state change curve is determined according to the voltage-current state change curve and the first temperature change curve.

[0021] In a possible implementation manner, determining the first state change curve according to the voltage and current state change curve and the first temperature change curve includes:

[0022] Acquire a state transfer matrix of the battery to be detected;

[0023] State transfer processing is performed on the voltage and current state change curve and the first temperature change curve according to the state transfer matrix to obtain the first state change curve.

[0024] In a possible implementation, the battery thermal runaway risk assessment method further includes:

[0025] If the thermal runaway risk assessment result indicates that the battery to be tested is in a thermal runaway state, determining an alarm message;

[0026] The warning information is displayed.

[0027] A second aspect of an embodiment of the present application provides a battery thermal runaway risk device, the device comprising:

[0028] An acquisition unit, used to acquire state evaluation parameters of the battery to be detected, wherein the state evaluation parameters include temperature parameters, current parameters and voltage parameters;

[0029] A construction unit, configured to construct a state change curve using the temperature parameter, the current parameter and the voltage parameter to obtain a first state change curve;

[0030] A prediction unit, configured to use the first state change curve to perform thermal runaway risk prediction to obtain a thermal runaway risk prediction result;

[0031] An evaluation unit is used to perform a thermal runaway risk evaluation according to the thermal runaway risk prediction result to obtain a thermal runaway risk evaluation result.

[0032] In a possible implementation, the construction unit is specifically used for:

[0033] constructing a current variation curve using the current parameter to obtain a first current variation curve;

[0034] constructing a temperature change curve using the temperature parameter to obtain a first temperature change curve;

[0035] constructing a voltage variation curve using the voltage parameter to obtain a first voltage variation curve;

[0036] The first state variation curve is determined according to the first current variation curve, the first voltage variation curve, and the first temperature variation curve.

[0037] In a possible implementation manner, in determining the first state change curve according to the first current change curve, the first voltage change curve, and the first temperature change curve, the construction unit is specifically configured to:

[0038] determining a current state change curve according to the first current change curve;

[0039] determining a voltage state change curve according to the first voltage change curve;

[0040] The current state change curve and the voltage state change curve are fused to obtain a voltage and current state change curve;

[0041] The first state change curve is determined according to the voltage-current state change curve and the first temperature change curve.

[0042] In a possible implementation manner, in determining the first state change curve according to the voltage and current state change curve and the first temperature change curve, the construction unit is specifically configured to:

[0043] Acquire a state transfer matrix of the battery to be detected;

[0044] State transfer processing is performed on the voltage and current state change curve and the first temperature change curve according to the state transfer matrix to obtain the first state change curve.

[0045] In a possible implementation manner, the evaluation unit is further configured to:

[0046] If the thermal runaway risk assessment result indicates that the battery to be tested is in a thermal runaway state, determining an alarm message;

[0047] The warning information is displayed.

[0048] A third aspect of an embodiment of the present application provides a terminal, comprising a processor, an input device, an output device and a memory, wherein the processor, input device, output device and memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the step instructions in the first aspect of the embodiment of the present application.

[0049] The fourth aspect of the embodiments of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps described in the first aspect of the embodiments of the present application.

[0050] A fifth aspect of the embodiments of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 A schematic flow chart of a battery thermal runaway risk assessment method is provided for an embodiment of the present application;

[0053] Figure 2 A schematic diagram of the structure of a terminal provided in an embodiment of the present application;

[0054] Figure 3 A schematic structural diagram of a battery thermal runaway risk assessment device is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0056] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0057] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments.

[0058] In order to better understand the battery thermal runaway risk assessment method provided in the embodiment of the present application, the following first briefly introduces an existing battery thermal runaway risk assessment method. In the existing scheme, the battery thermal runaway risk assessment is usually performed on the new energy battery by adopting the mechanism analysis method. This method cannot predict the battery temperature online in real time, resulting in the inability to give the driver an early warning during the driving process of the car, and the inability to detect the failure of the new energy vehicle in advance, resulting in insufficient accuracy in the battery thermal runaway risk assessment.

[0059] In order to solve the above technical problems, an embodiment of the present application provides a battery thermal runaway risk assessment method, which can automatically predict the thermal runaway risk of the battery to be tested according to the state assessment parameters of the battery to be tested, and evaluate the risk prediction results to generate a thermal runaway risk assessment result, thereby improving the accuracy of the battery thermal runaway risk assessment.

[0060] See also Figure 1 , Figure 1 A flow chart of a method for assessing the risk of thermal runaway of a battery is provided for an embodiment of the present application. Figure 1 As shown, the method includes:

[0061] 101. Obtain state evaluation parameters of a battery to be tested, where the state evaluation parameters include temperature parameters, current parameters, and voltage parameters.

[0062] Among them, the server may obtain the reading of the battery monitoring sensor carried on the vehicle through the wireless network, so as to obtain the state evaluation parameters of the battery to be tested. Specifically, the server may obtain the reading of the battery monitoring sensor carried on the vehicle through the TBOX (Telematics Box, Internet of Vehicles terminal) carried on the vehicle using the 4G / 5G wireless transmission network to obtain the state evaluation parameters of the battery to be tested. Among them, the battery monitoring sensors carried on the vehicle include temperature sensors, voltage sensors and current sensors, and the temperature sensors, voltage sensors and current sensors may be universal sensors; the state evaluation parameters include temperature parameters, current parameters and voltage parameters.

[0063] 102. Use the temperature parameter, current parameter, and voltage parameter to construct a state change curve to obtain a first state change curve.

[0064] Specifically, a first current change curve and a first voltage change curve may be constructed by acquiring current parameters and voltage parameters, a current state change curve and a voltage state change curve may be constructed according to the first current change curve and the first voltage change curve, and the current state change curve and the voltage state change curve may be fused to obtain a voltage-current state change curve, a state transfer matrix of the battery to be detected may be obtained, and the voltage-current state change curve and the first temperature change curve may be state transferred according to the state transfer matrix to obtain a first state change curve.

[0065] 103. Use the first state change curve to predict the thermal runaway risk and obtain a thermal runaway risk prediction result.

[0066] Specifically, the thermal runaway risk prediction result can be obtained by obtaining the current battery temperature of the vehicle and obtaining the state change amount corresponding to the battery of the vehicle in the first state change curve according to the current battery temperature of the vehicle. The state change amount corresponding to the battery includes the current state change amount and the voltage state change amount of the battery to be detected.

[0067] 104. Perform a thermal runaway risk assessment according to the thermal runaway risk prediction result to obtain a thermal runaway risk assessment result.

[0068] Specifically, it can be through judging whether the thermal runaway risk prediction result is greater than a preset safety threshold. If it is less than or equal to, it means that the battery to be tested does not have a thermal runaway risk, and the thermal runaway risk assessment result can be, for example: no thermal runaway risk; if it is greater than, it means that the battery to be tested has a thermal runaway risk, and the thermal runaway risk assessment result can be, for example: there is a thermal runaway risk, and a risk rating is performed based on the thermal runaway risk prediction result, an alarm message is generated, and the alarm message is displayed.

[0069] In this example, by obtaining state assessment parameters of the battery to be tested, the state assessment parameters include temperature parameters, current parameters and voltage parameters, the temperature parameters, current parameters and voltage parameters are used to construct a state change curve to obtain a first state change curve, the first state change curve is used to predict the thermal runaway risk to obtain a thermal runaway risk prediction result, a thermal runaway risk assessment is performed based on the thermal runaway risk prediction result to obtain a thermal runaway risk assessment result, thereby improving the accuracy of the battery thermal runaway risk assessment.

[0070] In a possible implementation, a method for constructing a state change curve using the temperature parameter, current parameter, and voltage parameter to obtain a first state change curve includes:

[0071] A1. constructing a current change curve using the current parameter to obtain a first current change curve;

[0072] A2. constructing a temperature change curve using the temperature parameters to obtain a first temperature change curve;

[0073] A3. Constructing a voltage change curve using the voltage parameter to obtain a first voltage change curve;

[0074] A4. Determine the first state change curve according to the first current change curve, the first voltage change curve and the first temperature change curve;

[0075] Specifically, the first current variation curve may be obtained by acquiring the current parameter and constructing the current variation curve in a rectangular coordinate system according to the time variation sequence.

[0076] While constructing the first current variation curve, the temperature variation curve may be constructed in a rectangular coordinate system by acquiring the temperature parameter in a time variation sequence to obtain the first temperature variation curve.

[0077] While constructing the first temperature variation curve, the voltage variation curve may be constructed in a rectangular coordinate system by acquiring voltage parameters in a time variation sequence to obtain the first voltage variation curve.

[0078] After the first current change curve, the first voltage change curve and the first temperature change curve are obtained, the first state change curve may be determined by performing fusion processing or state transfer processing on the first current change curve, the first voltage change curve and the first temperature change curve.

[0079] In this example, a first current change curve, a first temperature change curve, and a first voltage change curve are constructed for the current parameters, temperature parameters, and voltage parameters respectively, and then the first state change curve corresponding to the battery to be tested is determined based on the first current change curve, the first temperature change curve, and the first voltage change curve, thereby improving the accuracy of battery thermal runaway risk assessment.

[0080] In a possible implementation, a method for determining the first state change curve according to the first current change curve, the first voltage change curve, and the first temperature change curve includes:

[0081] B1. determining a current state change curve according to the first current change curve;

[0082] B2. determining a voltage state change curve according to the first voltage change curve;

[0083] B3, fusing the current state change curve and the voltage state change curve to obtain a voltage and current state change curve;

[0084] B4. Determine the first state change curve according to the voltage and current state change curve and the first temperature change curve.

[0085] The first current change curve may be converted into a current state change curve by using a general curve conversion model. Specifically, the first current change curve may be converted into a current state change curve by using a curve conversion model with Gaussian process as the core. This is only an example and does not limit the type of curve conversion model.

[0086] While acquiring the current variation curve, the first voltage variation curve may be converted into a voltage state variation curve by adopting the same method as that of acquiring the current variation curve.

[0087] After obtaining the current state change curve and the voltage state change curve, normalization processing can be performed based on the current state change curve and the current state change amount and voltage state change amount reflected in the current state change curve, and the normalized current state change amount and voltage state change amount are used as the vertical axis of the voltage-current state change curve, and the time change amount is used as the horizontal axis of the voltage-current state change curve, thereby completing the fusion processing of the current state change curve and the voltage state change curve to obtain the voltage-current state change curve.

[0088] After the voltage and current state change curve is obtained, the state transfer matrix corresponding to the battery to be detected is obtained, and the voltage and current state change curve and the first temperature change curve are subjected to state transfer processing according to the state transfer matrix to obtain the first state change curve.

[0089] In this example, the first current change curve and the first voltage change curve are converted into a current state change curve and a voltage state change curve by using a curve conversion model with Gaussian process as the core, and then the voltage-current state change curve is obtained by fusing the current state change curve and the voltage state change curve. The first state change curve corresponding to the battery to be tested is determined according to the voltage-current state change curve and the first temperature change curve, thereby improving the accuracy of battery thermal runaway risk assessment.

[0090] In a possible implementation, a method for determining the first state change curve according to the voltage and current state change curve and the first temperature change curve includes:

[0091] C1. Obtaining the state transfer matrix of the battery to be tested;

[0092] C2. Performing state transfer processing on the voltage and current state change curve and the first temperature change curve according to the state transfer matrix to obtain the first state change curve.

[0093] Among them, the state transfer matrix corresponding to the battery to be detected can be obtained from the factory information corresponding to the battery to be detected by obtaining the factory information corresponding to the battery to be detected. The state transfer matrix can be obtained by using different temperature information to obtain the reference voltage and current state change information of the battery to be checked at different temperatures, and then the state transfer matrix corresponding to the battery to be detected is constructed by obtaining the probability of occurrence of each reference voltage and current state change information under different temperature information.

[0094] After obtaining the state transfer matrix corresponding to the battery to be detected, the temperature information corresponding to the battery to be detected at the current time information can be obtained according to the first temperature change curve through the current time information, and the voltage and current state change information corresponding to the battery to be detected at the next moment is predicted according to the temperature information corresponding to the current time information and the state transfer matrix to obtain the first state change information. According to the above method for obtaining the first state change information, the first state change information corresponding to all the temperature information in the first temperature change curve is obtained to obtain a first state change information set; the temperature information in the first temperature change curve is used as the horizontal axis of the first state change curve, and the first state change information in the first state change information set is used as the vertical axis of the first state change curve, thereby constructing the first state change curve.

[0095] In this example, by obtaining the state transfer matrix corresponding to the battery to be tested, and performing state transfer processing on the voltage and current state change curve and the first temperature change curve according to the state transfer matrix, the first state change curve corresponding to the battery to be tested is obtained, thereby improving the accuracy of battery thermal runaway risk assessment.

[0096] In a possible implementation, a method for assessing the risk of thermal runaway of a battery includes:

[0097] D1. If the thermal runaway risk assessment result indicates that the battery to be tested is in a thermal runaway state, determining an alarm message;

[0098] D2. Display the warning information.

[0099] Specifically, the thermal runaway risk of the battery to be tested can be predicted through the first state change curve to obtain the thermal runaway risk prediction result, and then the AHP hierarchical analysis method can be used to perform a thermal runaway risk assessment on the thermal runaway risk prediction result to obtain the thermal runaway risk assessment result; if the thermal runaway risk assessment result indicates that the battery to be tested is in a thermal runaway state, it is necessary to use a general weighted scoring method to score the thermal runaway risk assessment result corresponding to the battery to be tested, and then determine the risk level corresponding to the thermal runaway risk assessment result corresponding to the battery to be tested based on the scoring result, obtain the processing method corresponding to the risk level, obtain the first processing method, and determine the risk level and the first processing method as alarm information. Specifically, the thermal runaway risk prediction result can be evaluated using the AHP hierarchical analysis method according to the method shown in the following formula:

[0100]

[0101] Where λ represents the reference state vector corresponding to the battery to be tested, which can be determined by user input or by system default; represents the constraint condition of the reference state vector corresponding to the battery to be tested; j Represents the thermal runaway risk assessment result; λ i Represents the i-th reference state information in the reference state vector; represents the voltage and current state change information of the battery to be tested corresponding to the j temperature information at the i time; X j Indicates the matrix representation corresponding to the first state change curve.

[0102] After receiving the warning information, the warning information can be transmitted to the user's mobile phone or vehicle-mounted computer for display by using a 4G / 5G wireless transmission network, thereby completing the display of the warning information.

[0103] In this example, the thermal runaway state of the battery to be detected is predicted according to the first state change curve, and the thermal runaway state of the battery to be detected is evaluated according to the prediction result to obtain a thermal runaway risk assessment result. If the thermal runaway risk assessment result indicates that the battery to be detected is in a thermal runaway state, corresponding alarm information is generated according to the thermal runaway risk assessment result, and the alarm information is displayed, thereby improving the accuracy of the battery thermal runaway risk assessment.

[0104] For the above embodiments, please refer to Figure 2 , Figure 2 A schematic diagram of the structure of a terminal provided in an embodiment of the present application, such as Figure 2As shown, it includes a processor, an input device, an output device and a memory, which are connected to each other, wherein the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes instructions for executing the following steps;

[0105] Acquire state evaluation parameters of the battery to be tested, wherein the state evaluation parameters include temperature parameters, current parameters and voltage parameters;

[0106] Constructing a state change curve using the temperature parameter, current parameter and voltage parameter to obtain a first state change curve;

[0107] Using the first state change curve to perform thermal runaway risk prediction, to obtain a thermal runaway risk prediction result;

[0108] A thermal runaway risk assessment is performed according to the thermal runaway risk prediction result to obtain a thermal runaway risk assessment result.

[0109] The above mainly introduces the scheme of the embodiment of the present application from the perspective of the execution process on the method side. It is understandable that in order to realize the above functions, the terminal includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0110] The embodiment of the present application can divide the terminal into functional units according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0111] In line with the above, see Figure 3 , Figure 3 The present invention provides a schematic diagram of a battery thermal runaway risk assessment device. Figure 3 As shown, the device comprises:

[0112] An acquisition unit 301 is used to acquire a state evaluation parameter of a battery to be detected, wherein the state evaluation parameter includes a temperature parameter, a current parameter and a voltage parameter;

[0113] A construction unit 302 is used to construct a state change curve using the temperature parameter, the current parameter and the voltage parameter to obtain a first state change curve;

[0114] A prediction unit 303 is used to perform thermal runaway risk prediction using the first state change curve to obtain a thermal runaway risk prediction result;

[0115] The evaluation unit 304 is used to perform a thermal runaway risk evaluation according to the thermal runaway risk prediction result to obtain a thermal runaway risk evaluation result.

[0116] In a possible implementation, the construction unit 302 is specifically configured to:

[0117] constructing a current variation curve using the current parameter to obtain a first current variation curve;

[0118] constructing a temperature change curve using the temperature parameter to obtain a first temperature change curve;

[0119] constructing a voltage variation curve using the voltage parameter to obtain a first voltage variation curve;

[0120] The first state variation curve is determined according to the first current variation curve, the first voltage variation curve, and the first temperature variation curve.

[0121] In a possible implementation, in determining the first state change curve according to the first current change curve, the first voltage change curve, and the first temperature change curve, the constructing unit 302 is specifically configured to:

[0122] determining a current state change curve according to the first current change curve;

[0123] determining a voltage state change curve according to the first voltage change curve;

[0124] The current state change curve and the voltage state change curve are fused to obtain a voltage and current state change curve;

[0125] The first state change curve is determined according to the voltage-current state change curve and the first temperature change curve.

[0126] In a possible implementation, in determining the first state change curve according to the voltage and current state change curve and the first temperature change curve, the constructing unit 302 is specifically configured to:

[0127] Acquire a state transfer matrix of the battery to be detected;

[0128] State transfer processing is performed on the voltage and current state change curve and the first temperature change curve according to the state transfer matrix to obtain the first state change curve.

[0129] In a possible implementation, the evaluation unit 304 is further configured to:

[0130] If the thermal runaway risk assessment result indicates that the battery to be tested is in a thermal runaway state, determining an alarm message;

[0131] The warning information is displayed.

[0132] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the battery thermal runaway risk assessment methods recorded in the above method embodiments.

[0133] An embodiment of the present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program enables a computer to execute part or all of the steps of any battery thermal runaway risk assessment method recorded in the above method embodiments.

[0134] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0135] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0136] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be electrical or other forms.

[0137] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0138] In addition, the functional units in the various embodiments of the application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware or in the form of software program modules.

[0139] If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially 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 memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0140] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, which can include: a flash drive, a read-only memory, a random access memory, a magnetic disk or an optical disk, etc.

[0141] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A battery thermal runaway risk assessment method, characterized in that: The method comprises: Acquire state evaluation parameters of the battery to be tested, wherein the state evaluation parameters include temperature parameters, current parameters and voltage parameters; Constructing a state change curve using the temperature parameter, current parameter and voltage parameter to obtain a first state change curve; Using the first state change curve to perform thermal runaway risk prediction, to obtain a thermal runaway risk prediction result; A thermal runaway risk assessment is performed according to the thermal runaway risk prediction result to obtain a thermal runaway risk assessment result.

2. The battery thermal runaway risk assessment method according to claim 1, characterized in that: The state change curve is constructed by using the temperature parameter, the current parameter and the voltage parameter to obtain a first state change curve, including: constructing a current variation curve using the current parameter to obtain a first current variation curve; constructing a temperature change curve using the temperature parameter to obtain a first temperature change curve; constructing a voltage variation curve using the voltage parameter to obtain a first voltage variation curve; The first state variation curve is determined according to the first current variation curve, the first voltage variation curve, and the first temperature variation curve.

3. The battery thermal runaway risk assessment method according to claim 2, characterized in that: The determining the first state change curve according to the first current change curve, the first voltage change curve and the first temperature change curve includes: determining a current state change curve according to the first current change curve; determining a voltage state change curve according to the first voltage change curve; The current state change curve and the voltage state change curve are fused to obtain a voltage and current state change curve; The first state change curve is determined according to the voltage-current state change curve and the first temperature change curve.

4. The battery thermal runaway risk assessment method according to claim 3, characterized in that: The determining the first state change curve according to the voltage and current state change curve and the first temperature change curve includes: Acquire a state transfer matrix of the battery to be detected; State transfer processing is performed on the voltage and current state change curve and the first temperature change curve according to the state transfer matrix to obtain the first state change curve.

5. The battery thermal runaway risk assessment method according to any one of claims 1 to 4, characterized in that: The method further comprises: If the thermal runaway risk assessment result indicates that the battery to be tested is in a thermal runaway state, determining an alarm message; The warning information is displayed.

6. A battery thermal runaway risk assessment device, characterized in that: The device comprises: An acquisition unit, used to acquire state evaluation parameters of the battery to be detected, wherein the state evaluation parameters include temperature parameters, current parameters and voltage parameters; A construction unit, configured to construct a state change curve using the temperature parameter, the current parameter and the voltage parameter to obtain a first state change curve; A prediction unit, configured to use the first state change curve to perform thermal runaway risk prediction to obtain a thermal runaway risk prediction result; An evaluation unit is used to perform a thermal runaway risk evaluation according to the thermal runaway risk prediction result to obtain a thermal runaway risk evaluation result.

7. The battery thermal runaway risk assessment method according to claim 6, characterized in that: The building blocks are specifically used for: constructing a current variation curve using the current parameter to obtain a first current variation curve; constructing a temperature change curve using the temperature parameter to obtain a first temperature change curve; constructing a voltage variation curve using the voltage parameter to obtain a first voltage variation curve; The first state variation curve is determined according to the first current variation curve, the first voltage variation curve, and the first temperature variation curve.

8. The battery thermal runaway risk assessment method according to claim 7, characterized in that: In the aspect of determining the first state change curve according to the first current change curve, the first voltage change curve and the first temperature change curve, the construction unit is specifically used for: determining a current state change curve according to the first current change curve; determining a voltage state change curve according to the first voltage change curve; The current state change curve and the voltage state change curve are fused to obtain a voltage and current state change curve; The first state change curve is determined according to the voltage-current state change curve and the first temperature change curve.

9. A terminal, characterized in that: The method comprises a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the method according to any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the processor is caused to perform the method according to any one of claims 1 to 5.

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