Lithium battery operation safety value determination method and device, medium and product

Abstract

The invention discloses a lithium battery operation safety value determination method and device, a medium and a product, and relates to the technical field of battery health monitoring, and the method comprises the steps: constructing a safety potential field model of an operation signal of a lithium battery; the operation signals comprise an expansion degree signal, an expansion degree change degree signal and a temperature signal; constructing a safe operation domain model of the lithium battery based on the safe potential field model of each operation signal; according to a set sampling frequency, acquiring an operation signal of the lithium battery to be detected at each moment in the monitoring time period in real time; and respectively inputting the operation signal at each moment into the safe operation domain model to obtain a battery operation total safety value of the to-be-tested lithium battery at each moment. According to the invention, lithium battery safety quantitative evaluation is realized.

Description

Technical Field

[0001] The present application relates to the technical field of battery health monitoring, and particularly to a method, device, medium and product for determining the operating safety value of a lithium battery. Background Art

[0002] Lithium-ion batteries are a key component in solving global energy challenges. Due to their complex physical and chemical processes, accurately assessing their safety is crucial. However, evaluating the safety of lithium-ion batteries involves complex factors such as mechanics, electricity, and thermology, and quantitative evaluation is challenging. Most existing battery safety assessment methods only provide qualitative descriptions and lack quantitative evaluation. The qualitative description of battery safety relies on subjective interpretation and descriptive language, lacking accuracy and objectivity. In addition, qualitative methods cannot provide sufficient details or depth to accurately predict the complexity of battery safety. Quantitative analysis of the safety status of lithium-ion batteries is crucial for evaluating the safety performance of lithium batteries because it provides clear guidance for safety control. There is an urgent need to study effective methods for quantitatively evaluating battery safety. Summary of the Invention

[0003] The purpose of the present application is to provide a method, device, medium and product for determining the operating safety value of a lithium battery to solve the problem of inability to quantitatively evaluate the safety of lithium batteries.

[0004] To achieve the above purpose, the present application provides the following solutions:

[0005] In the first aspect, the present application provides a method for determining the operating safety value of a lithium battery, including:

[0006] Construct a safety potential field model for the operating signals of the lithium battery; the operating signals include: swelling degree signal, swelling degree change signal, and temperature signal;

[0007] Based on the safety potential field models of the respective operating signals, construct a safe operating domain model for the lithium battery;

[0008] At a set sampling frequency, obtain the operating signals of the lithium battery to be measured at each moment during the monitoring period in real time;

[0009] Input the operating signals at each moment into the safe operating domain model respectively to obtain the total battery operating safety value of the lithium battery to be measured at each moment.

[0010] Optionally, the method for determining the operating safety value of the lithium battery further includes:

[0011] For any current moment, when the total battery operating safety value is lower than the preset safety value, the lithium battery to be measured enters a dangerous period starting from the current moment and gives an alarm.

[0012] Optionally, the method for determining the operating safety value of the lithium battery further includes:

[0013] When the number of moments when the total operating safety value of the battery within the monitoring period is lower than the preset safety value exceeds the preset percentage of the total number of moments within the monitoring period, the lithium battery to be tested enters the late stage of its life.

[0014] Optionally, constructing a safety potential field model for the operating signal of the lithium battery specifically includes:

[0015] Constructing a gravitational field model and a repulsive field model for the operating signal of the lithium battery;

[0016] Based on the gravitational field model and the repulsive field model of the operating signal of the lithium battery, constructing a safety potential field model for the operating signal of the lithium battery.

[0017] Optionally, the gravitational field model includes:

[0018] F att (R) = 0.5 × C att × (R - R s ) 2 ;

[0019] where F att (R) is the gravitational field strength of the operating signal; C att is the gravitational field gain coefficient; R is the operating signal; R s is the safe operating range of the operating signal.

[0020] Optionally, the repulsive field model includes:

[0021]

[0022] where F rep (R) is the repulsive field strength of the operating signal; C rep is the repulsive field gain coefficient; R t is the dangerous operating range of the operating signal.

[0023] Optionally, the safety potential field model includes:

[0024]

[0025] F total (R) = F att (R) + F rep (R);

[0026] where V(R) is the safety value of the operating signal; F total (R) is the total potential field strength of the operating signal.

[0027] In a second aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the lithium battery operation safety value determination method described in any one of the above.

[0028] In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the lithium battery operation safety value determination method described in any one of the above.

[0029] In a fourth aspect, the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the lithium battery operation safety value determination method described in any one of the above.

[0030] According to the specific embodiments provided by the present application, the following technical effects are disclosed in the present application:

[0031] The present application discloses a method, device, medium, and product for determining the lithium battery operation safety value. First, a safety potential field model of the operation signal of the lithium battery is constructed; the operation signals include: the swelling degree signal, the swelling degree change signal, and the temperature signal; secondly, based on the safety potential field models of the respective operation signals, a safety operation domain model of the lithium battery is constructed; then, according to the set sampling frequency, the operation signals of the lithium battery to be measured at each moment during the monitoring period are obtained in real time; finally, the operation signals at each moment are respectively input into the safety operation domain model to obtain the total battery operation safety value of the lithium battery to be measured at each moment. The present application uses the safety operation domain model obtained by aggregating the safety potential field models of the operation signals to obtain the total battery operation safety value of the lithium battery to be measured at each moment, realizing the quantitative evaluation of the lithium battery safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0033] Figure 1 It is a schematic flowchart of the method for determining the lithium battery operation safety value provided by an embodiment of the present application;

[0034] Figure 2 It is a schematic diagram of the safety operation domain model;

[0035] Figure 3 It is a schematic diagram of the swelling degree signal curve;

[0036] Figure 4Schematic diagram of the degree of change in swelling signal curve

[0037] Figure 5 Schematic diagram of the temperature signal curve

[0038] Figure 6 Schematic diagram of the total battery operation safety value curve

[0039] Figure 7 Schematic diagram of the structure of a computer device provided by an embodiment of the present application Detailed implementation manners

[0040] Next, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application

[0041] The purpose of the present application is to provide a method, device, medium and product for determining the safety value of lithium battery operation, aiming to realize the quantitative evaluation of the safety of lithium batteries

[0042] To make the above objects, features and advantages of the present application more obvious and understandable, the present application will be further described in detail below with reference to the accompanying drawings and specific implementation manners

[0043] In an exemplary embodiment, as Figure 1 shown, the method for determining the safety value of lithium battery operation in this embodiment includes

[0044] Step 1: Construct a safety potential field model for the operation signals of the lithium battery; the operation signals include: swelling signal, degree of change in swelling signal, and temperature signal

[0045] As an optional implementation manner, step 1 specifically includes

[0046] Step 11: Construct a gravitational field model and a repulsive field model for the operation signals of the lithium battery

[0047] As an optional implementation manner, the gravitational field model includes

[0048] F att (R) = 0.5 × C att × (R - R s ) 2 (1)

[0049] where F att (R) is the gravitational field strength of the operation signal; C att is the gravitational field gain coefficient; R is the operation signal; Rs is the safe operating range of the operating signal.

[0050] Specifically, the gravitational field gain coefficient C att is calculated as follows:

[0051]

[0052] where α is the safety value when the operating signal is at the critical value of the safe operating range, α = V(R α ), V(·) is the safety value function; R α is the critical value of the safe operating range of the operating signal; e is the natural constant.

[0053] As an alternative implementation, the repulsive force field model includes:

[0054]

[0055] where F rep (R) is the repulsive force field strength of the operating signal; C rep is the repulsive force field gain coefficient; R t is the dangerous operating range of the operating signal.

[0056] In fact, when |R - R t | exceeds |R s - R t |, there is no repulsive force acting.

[0057] Specifically, the repulsive force field gain coefficient C rep is calculated as follows:

[0058]

[0059] where β is the safety value when the operating signal is at the critical value of the dangerous operating range, β = V(R β ); R β is the critical value of the dangerous operating range of the operating signal.

[0060] Step 12: Based on the gravitational field model and the repulsive force field model of the operating signal of the lithium battery, construct a safe potential field model of the operating signal of the lithium battery.

[0061] As an alternative implementation, the safe potential field model includes:

[0062]

[0063] F total (R) = F att (R) + F rep (R) (6)

[0064] Among them, V(R) is the safety value of the operating signal; F total (R) is the total potential field strength of the operating signal.

[0065] Specifically, the numerical range of the safety value of the operating signal is 0 - 1.

[0066] Furthermore, for different operating signals, when constructing the corresponding safety potential field model, the parameter values involved are different. Specifically, the parameter settings for the safety potential field models of each operating signal include:

[0067] (1) For the swelling degree signal R E 's safety potential field model V E : The dangerous operating range R Et is 0.1X, where X is the thickness dimension of the lithium battery; the safe operating range R Es is 0; α = 1; β = 0.5; the critical value R Eβ of the dangerous operating range is 0.095X; the critical value R Eα of the safe operating range is 0.0125X.

[0068] (2) For the swelling degree change signal (Δswelling degree = R |ΔE| )'s safety potential field model V |ΔE| : The dangerous operating range R |ΔE|t is 3.74×10 -4 X; the electrically safe operating range R |ΔE|s is 0; α = 1; β = 0.2; the critical value R |ΔE|β of the dangerous operating range is 3.25×10 -4 X; the critical value R |ΔE|α of the safe operating range is 3.25×10 -5 X.

[0069] (3) For the temperature signal R T 's safety potential field model V T , it is divided into the safety potential field model V T when the temperature signal R LT is low temperature and the safety potential field model V T when the temperature signal R HT . The low temperature and high temperature are set according to the actual situation, specifically including:

[0070] 1) When the temperature signal R T is low temperature, the dangerous operating range R LTt is -20°C; the safe operating range R LTs is 25°C; α = 1; β = 0.4; the critical value R LTβ of the dangerous operating range is 5°C; the critical value R LTα of the safe operating range is 15°C.

[0071] 2) When the temperature signal R T is at a high temperature, the dangerous operation range R HTt is 60°C; the safe operation range R HTs is 25°C; α = 1; β = 0.4; the critical value of the dangerous operation range R HTβ is 55°C; the critical value of the safe operation range R HTα is 35°C.

[0072] Step 2: Based on the safety potential field model of each operating signal, construct the safe operation domain model of the lithium battery.

[0073] Specifically, the expression of the safe operation domain model is:

[0074] V total (R E ,R |ΔE| ,R T ) = V E ×V |ΔE| ×V T (7)

[0075] wherein, V total (R E ,R |ΔE| ,R T ) is the total battery operation safety value.

[0076] The safe operation domain model is as Figure 2 shown. Figure 2 The "safety value" therein refers to the total battery operation safety value.

[0077] Step 3: According to the set sampling frequency, obtain the operating signals of the lithium battery to be tested at each moment during the monitoring period in real time.

[0078] Step 4: Input the operating signals at each moment into the safe operation domain model respectively to obtain the total battery operation safety value of the lithium battery to be tested at each moment.

[0079] As an optional implementation manner, the method for determining the lithium battery operation safety value further includes:

[0080] For any current moment, when the total battery operation safety value is lower than the preset safety value, the lithium battery to be tested enters the dangerous period starting from the current moment and gives an alarm.

[0081] Specifically, when the total battery operation safety value is lower than 0.5, the lithium battery to be tested enters the dangerous period starting from the current moment and gives an alarm, reminding the lithium battery to be tested to enter the dangerous period from operation.

[0082] As an alternative implementation, the method for determining the operating safety value of a lithium battery further includes:

[0083] When the number of moments when the total operating safety value of the battery within the monitoring period is lower than the preset safety value exceeds a preset percentage of the total number of moments within the monitoring period, the lithium battery to be tested enters the late stage of its life.

[0084] Specifically, when the number of moments when the total operating safety value of the battery within the monitoring period is lower than 0.5 exceeds 30% of the total number of moments within the monitoring period, the lithium battery to be tested enters the late stage of its life, and it is reminded to check the battery health status.

[0085] Furthermore, in order to verify the method of this application, a 5 Ah ternary lithium battery (NMC111) with an operating voltage of 3V - 4.2V, a size of 132×90×4.0 mm, and a thickness of 4.0 mm is selected in the laboratory. This lithium battery is cycled in a state with a strain gauge and a thermocouple installed. The cycling conditions are a discharge depth of 0 - 50%, a 1.5C charge, and a discharge under a simulated driving condition load. Three battery dangerous condition time points A, B, and C are selected within the entire life cycle, and finally, the battery cycle period is 1867 times (80% SOH). Now, the parameters of the three dangerous conditions A, B, and C are as follows:

[0086] Dangerous condition A: The temperature set in the temperature chamber suddenly changes to 55.3°C, and the discharge rate is 0.86C.

[0087] Dangerous condition B: The temperature set in the temperature chamber suddenly changes to -3.2°C, and the charge rate changes abnormally to 4.16C in multiple pulses.

[0088] Dangerous condition C: The temperature set in the temperature chamber is 23.1°C, and the discharge rate changes abnormally to a large current discharge of 3.24C during the discharge process.

[0089] Based on the above experimental conditions, research on the operating safety of lithium batteries is carried out, specifically including:

[0090] S1: Construct a safety operating domain model for the lithium battery. Specifically including:

[0091] S11: For the expansion degree signal R E of the safety potential field model V E : The dangerous operating interval R Et is 400 μm; the safe operating interval R Es is 0 μm; α = 1; β = 0.5; the critical value R Eβ of the dangerous operating interval is 380 μm; the critical value R Eα of the safe operating interval is 50 μm.

[0092] Using equations (2) and (4), the gravitational field gain coefficient C E of the expansion degree signal Ratt = 0, the repulsive force field gain coefficient C rep = 906.56.

[0093] Using equations (5) and (6), the expansion degree signal R E of the safety potential field model V E is:

[0094] S12: For the safety potential field model V |ΔE| of the expansion degree change signal (Δexpansion degree = R |ΔE| ); the dangerous operation range R |ΔE|t is 1.5 μm; the safe operation range R |ΔE|s is 0 μm; α = 1; β = 0.2; the critical value R |ΔE|β of the dangerous operation range is 1.3 μm; the critical value R |ΔE|α of the safe operation range is 0.05 μm.

[0095] Using equations (2) and (4), the expansion degree change signal R |ΔE| of the gravitational field gain coefficient C att = 0, the repulsive force field gain coefficient C rep = 0.4535.

[0096] Using equations (5) and (6), the expansion degree change signal R |ΔE| of the safety potential field model V |ΔE| is:

[0097] S13: For the safety potential field model V T of the temperature signal R T , it is divided into the safety potential field model V T when the temperature signal R LT is low temperature and the safety potential field model V T when the temperature signal R HT . Specifically, it includes:

[0098] 1) When the temperature signal R T is low temperature R LT , the dangerous operation range R LTt is -20 °C; the safe operation range R LTs is 25 °C; α = 1; β = 0.4; the critical value R LTβ of the dangerous operation range is 5 °C; the critical value R LTα of the safe operation range is 15 °C.

[0099] Using equations (2) and (4), the gravitational field gain coefficient C T when the temperature signal R LT is low temperature Ratt = 0, the repulsive force field gain coefficient C rep = 238.10.

[0100] Using Equation (5) and Equation (6), the temperature signal R T is the low-temperature R LT when the safety potential field model V LT is:

[0101] 2) When the temperature signal R T is the high-temperature R HT when, the dangerous operation range R HTt is 60°C; the safe operation range R HTs is 25°C; α = 1; β = 0.4; the critical value R HTβ of the dangerous operation range HTα is 55°C; the critical value R

[0102] Using Equation (2) and Equation (4), the temperature signal R T is the high-temperature R HT when the gravitational field gain coefficient C att = 0, the repulsive force field gain coefficient C rep = 133.33.

[0103] Using Equation (5) and Equation (6), the temperature signal R T is the high-temperature R HT when the safety potential field model V HT is:

[0104] S2: Assemble each safety potential field model of S1 to obtain the safe operation domain model:

[0105] When the temperature signal R T is the low-temperature R LT when, the safe operation domain model is:

[0106]

[0107] When the temperature signal R T is the high-temperature R HT when, the safe operation domain model is:

[0108]

[0109] S3: Regularly monitor the operation signals during the operation of the 5Ah ternary lithium battery, and substitute the operation signals into the safe operation domain model to obtain the total battery operation safety value.

[0110] Specifically, between the 200th and 217th cycles of a 5Ah ternary lithium battery, the swelling degree signal R was monitored at a certain moment. E and the temperature signal R T , and the swelling degree change signal R |ΔE| was calculated in real time according to its sampling frequency. The curve formed by the operating signals obtained between the 200th and 217th cycles is as Figures 3 - 5 shown. Among them, Figures 3 - 5 the abscissa of Figure 3 is the moment corresponding to each cycle, Figure 4 the ordinate of Figure 5 is the swelling degree signal,

[0111] the ordinate of Figure 6 is the swelling degree change signal, Figure 6 the abscissa of Figure 6 is the moment corresponding to each cycle,

[0112] The total battery operation safety value for each cycle was calculated by substituting the collected operating signals of each cycle into the lithium battery safe operation domain model. The curve formed by the total battery operation safety values obtained between the 200th and 217th cycles is as Figure 6 shown. Among them, Figure 6 the abscissa of Figure 6 is the moment corresponding to each cycle,

[0112] Furthermore, the ABC three working conditions and the operating signals of the 1601st cycle (taking the 1601st cycle as the monitoring period) were also used for verification and judgment, specifically including:

[0113] At the time point of the A dangerous working condition operation, the swelling degree signal R E = 275.26μm, the temperature signal R T = 54.5°C, and the swelling degree change signal R |ΔE| = 0.74μm was calculated in real time according to its sampling frequency. The operating signals at the time point of the A dangerous working condition operation were substituted into the safe operation domain model when the temperature signal R T is high temperature R HT to calculate the total battery operation safety value V total = 0.237.

[0114] At the time point of the B dangerous working condition operation, the swelling degree signal R E = 265.73μm, the temperature signal R T = 12.8°C, and the swelling degree change signal R |ΔE| = 1.41μm was calculated in real time according to its sampling frequency. The operating signals at the time point of the B dangerous working condition operation were substituted into the safe operation domain model when the temperature signal R T is low temperature R LT to calculate the total battery operation safety value V total = 0.0372.

[0115] At the operating time point of the C dangerous condition, the expansion signal R is monitored E = 193.71 μm, the temperature signal R T = 26.4 °C, and the expansion change signal R is calculated in real time according to its sampling frequency |ΔE| = 1.37 μm, substituting the operating signal at the operating time point of the C dangerous condition into the temperature signal R T is high temperature R HT The total battery operation safety value V is calculated in the safety operation domain model at high temperature total = 0.0818.

[0116] S4: Quantify the safety of the 5Ah ternary lithium battery in real time according to the total battery operation safety value and alarm, and at the same time characterize the cycle life of the 5Ah ternary lithium battery.

[0117] At the operating time point of the A dangerous condition, the total battery operation safety value is 0.237, which is lower than 0.5, and an alarm is issued to remind that the operation of the 5Ah ternary lithium battery enters a dangerous period.

[0118] At the operating time point of the B dangerous condition, the total battery operation safety value is 0.0372, which is lower than 0.5, and an alarm is issued to remind that the operation of the 5Ah ternary lithium battery enters a dangerous period.

[0119] At the operating time point of the C dangerous condition, the total battery operation safety value is 0.0818, which is lower than 0.5, and an alarm is issued to remind that the operation of the 5Ah ternary lithium battery enters a dangerous period.

[0120] Generally speaking, V total is the highest at 0.742 and the lowest at 0.164 in the 1601st cycle.

[0121] The battery management system calculates that the time ratio of the total battery operation safety value of the 5Ah ternary lithium battery being below 0.5 in the 1601st cycle to the total time of a single cycle is 47.39%, which exceeds 30%, and a reminder "The 5Ah ternary lithium battery may enter the later stage of its life" is issued.

[0122] In an exemplary embodiment, a computer device is provided, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the computer program to implement the method for determining the safety value of lithium battery operation.

[0123] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the method for determining the safety value of lithium battery operation is implemented.

[0124] In an exemplary embodiment, a computer program product is provided, including a computer program which, when executed by a processor, implements a method for determining the safety value of a lithium battery during operation.

[0125] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a terminal, and its internal structural diagram can be as Figure 7 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used for exchanging information between the processor and external devices. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a method for determining the safety value of a lithium battery during operation.

[0126] Those skilled in the art can understand that Figure 7 the structure shown in

[0127] is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0128] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the various embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memories can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0129] The databases involved in the various embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the various embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0130] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the various technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0131] Specific examples are used in this article to elaborate on the principles and implementation manners of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A method for determining the operating safety value of a lithium battery, characterized in that: The method for determining the lithium battery operation safety value comprises: Constructing a safety potential field model of the operation signal of the lithium battery; the operation signal includes: an expansion degree signal, an expansion degree change degree signal and a temperature signal; Based on the safety potential field model of each operating signal, a safe operation domain model of lithium batteries is constructed; According to the set sampling frequency, the operating signal of the lithium battery to be tested at each moment during the monitoring period is obtained in real time; The operation signals at each moment are respectively input into the safety operation domain model to obtain the total battery operation safety value of the lithium battery to be tested at each moment.

2. The method for determining the operating safety value of a lithium battery according to claim 1, characterized in that: The method for determining the operating safety value of a lithium battery further includes: At any current moment, when the total safety value of the battery operation is lower than the preset safety value, the lithium battery to be tested enters a dangerous period from the current moment and issues an alarm.

3. The method for determining the operating safety value of a lithium battery according to claim 1, characterized in that: The method for determining the operating safety value of a lithium battery further includes: When the number of moments during the monitoring period when the total safety value of the battery operation is lower than the preset safety value exceeds a preset percentage of the total number of moments during the monitoring period, the lithium battery to be tested enters the late life stage.

4. The method for determining the operating safety value of a lithium battery according to claim 1, characterized in that: Construct a safe potential field model of the operating signal of the lithium battery, including: Construct the gravitational field model and repulsive field model of the lithium battery's operating signal; Based on the gravitational field model and repulsive field model of the operating signal of the lithium battery, a safe potential field model of the operating signal of the lithium battery is constructed.

5. The method for determining the operating safety value of a lithium battery according to claim 4, characterized in that: The gravitational field model comprises: F att R=0.5×C att ×R-R s 2 ; Among them, F att R is the gravitational field strength of the running signal; C att is the gravitational field gain coefficient; R is the operating signal; R s It is the safe operating range of the operating signal.

6. The method for determining the operating safety value of a lithium battery according to claim 5, characterized in that: The repulsive field model comprises: Among them, F rep R is the repulsive field strength of the running signal; C rep is the repulsive field gain coefficient; R t It is the dangerous operation range of the operation signal.

7. The method for determining the operating safety value of a lithium battery according to claim 6, characterized in that: The safety potential field model comprises: F total R=F att R+F rep R; Among them, VR is the safe value of the operating signal; F total R is the total potential field strength of the operating signal.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for determining the operating safety value of a lithium battery as described in any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining the lithium battery operation safety value described in any one of claims 1 to 7 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for determining the lithium battery operation safety value described in any one of claims 1 to 7 is implemented.

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