Design method, device, equipment, storage medium and program product of battery gas production test device

Abstract

The application relates to a design method, device and equipment of a battery gas production testing device, a storage medium and a program product. The method comprises the following steps: obtaining battery information and test parameters of a test battery sample; the battery information comprises a battery system, a state of charge and a battery capacity; the test parameters comprise a thermal runaway triggering mode, a reference temperature and a reference pressure; a correction coefficient and a normalized gas production are determined according to the battery information and the test parameters; the correction coefficient comprises a test process temperature rise coefficient and a pressure rise correction coefficient; the correction coefficient respectively represents the temperature rise influence degree and the pressure rise influence degree in the thermal runaway state of the battery; and a design parameter of the battery gas production testing device is determined according to the correction coefficient, the normalized gas production and the reference temperature. Through the battery information and the test parameters, a plurality of correction coefficients closely related to the design parameters of the battery gas production testing device are determined, and the pressure evaluation, the device volume range and the capacity range in the thermal runaway situation are more explicit.

Description

Technical Field

[0001] This application relates to the field of battery technology, and in particular to a design method, apparatus, equipment, storage medium, and program product for a battery gas generation testing device. Background Technology

[0002] Lithium-ion batteries are widely used in various scenarios such as vehicle power systems and stationary energy storage systems, but battery safety issues have not yet been fundamentally resolved. Under conditions of thermal abuse, electrical abuse, and mechanical abuse, batteries undergo a series of exothermic and gas-generating reactions, eventually reaching the preset pressure limit of the battery casing and triggering a burst process, which can lead to battery system combustion and explosion. Accurate measurement of the gas generation characteristics at the battery cell level is of great significance for intrinsic safety and protection design from the battery material level to the system level.

[0003] Currently, the measurement of gas generation characteristics of individual battery cells typically employs a measurement device based on a sealed, constant-volume chamber. This device features high temperature and pressure resistance and excellent airtightness, enabling the monitoring of the thermodynamic process of battery eruption, calculation of battery gas generation, and collection of erupted materials. The device generally consists of a pressure-bearing main chamber, a gas storage and charging system, a data acquisition system, a thermal runaway triggering system, and a sensor integration system. As a pressure vessel, its design must consider the impact of high temperature and high pressure on the surrounding environment (within the chamber) caused by battery thermal runaway gas generation. The pressure-resistant design requires comprehensive consideration of the performance of the main chamber material, threaded connections, and other sealing components, which also determines the range of battery capacities and systems that the device can test. Factors such as the amount of gaseous products released during battery thermal runaway testing, the ambient temperature rise, and the intensity of the gas generation eruption all affect the maximum pressure and steady-state pressure during the test. If the relationship between the pressure resistance design parameters and the battery test information is unclear, it will lead to an overly large pressure resistance parameter design and an excessively large pressure sensor range. On the one hand, this will increase the wall thickness of the main cavity, making the equipment bulky; on the other hand, the pressure resistance performance of threaded connections and other seals will be difficult to meet the standards.

[0004] Although the production and processing of battery gas emission test devices are relatively mature, the design method for pressure parameters is not perfect. Therefore, it is urgent to establish a complete design method for lithium-ion battery emission and gas generation test devices. Summary of the Invention

[0005] Therefore, it is necessary to provide a design method, apparatus, equipment, storage medium, and program product for a battery gas generation test device that can improve the accuracy of design parameters, addressing the aforementioned technical problems.

[0006] In a first aspect, this application provides a design method for a battery gas generation testing device, comprising:

[0007] Obtain battery information and test parameters for the test battery sample; battery information includes battery system, state of charge, and battery capacity; test parameters include thermal runaway triggering method, reference temperature, and reference pressure.

[0008] The correction coefficients and normalized gas production are determined based on battery information and test parameters. The correction coefficients include the temperature rise coefficient and the pressure rise correction coefficient during the test process. The correction coefficients respectively characterize the degree of influence of temperature rise and pressure rise under the thermal runaway state of the battery.

[0009] The design parameters of the battery gas generation test device are determined based on the correction coefficient, normalized gas production rate, and reference temperature.

[0010] In one embodiment, determining the correction coefficient and normalized gas production based on battery information and test parameters includes:

[0011] The temperature rise coefficient during the test process is determined based on the battery system and the thermal runaway triggering method.

[0012] Determine the voltage rise correction factor based on the battery system and / or state of charge;

[0013] The normalized gas production rate is determined based on the battery system.

[0014] In one embodiment, determining the normalized gas production based on the battery system includes:

[0015] Determine the specific energy density of the battery system;

[0016] The normalized gas production rate is determined based on the mapping relationship between specific energy density and normalized gas production rate.

[0017] In one embodiment, determining the temperature rise coefficient during the test process based on the battery system and a reference temperature includes:

[0018] Obtain the test temperature rise range corresponding to the thermal runaway triggering mode, and determine the target temperature rise range corresponding to the battery system based on the test temperature rise range; the target temperature rise range includes multiple temperature rise values;

[0019] Select the maximum temperature rise value from multiple temperature rise values ​​within the target temperature rise range, and determine the temperature rise coefficient during the test process based on the selected temperature rise value and the reference temperature.

[0020] In one embodiment, the design parameters include pressure parameters, maximum permissible test sample capacity, and maximum battery thermal runaway test device volume. The design parameters of the battery gas generation test device are determined based on correction factors, normalized gas generation rate, and reference temperature, including:

[0021] Obtain the capacity of the test battery sample and the volume of the test device;

[0022] The pressure parameters are determined based on the correction factor, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0023] The maximum volume of the battery thermal runaway test device is determined based on the correction factor, normalized gas production, reference temperature, and the capacity of the test battery sample.

[0024] The maximum allowable test sample capacity is determined based on the correction factor, normalized gas production, reference temperature, test device volume, and pressure parameters.

[0025] In one embodiment, the pressure parameters include steady-state pressure and transient peak pressure, and are determined based on a correction factor, normalized gas production, reference temperature, the capacity of the test battery sample, and the volume of the test apparatus, including:

[0026] The steady-state pressure is calculated based on the temperature rise coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0027] The transient peak pressure is calculated based on the temperature rise coefficient, pressure rise correction coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0028] Secondly, this application also provides a design apparatus for a battery gas generation testing device, comprising:

[0029] The acquisition module is used to acquire battery information and test parameters of the test battery sample; the battery information includes battery system, state of charge, and battery capacity; the test parameters include thermal runaway triggering method, reference temperature, and reference pressure.

[0030] The determination module is used to determine the correction coefficients and normalized gas production based on battery information and test parameters. The correction coefficients include the temperature rise coefficient and pressure rise correction coefficient during the test process. The correction coefficients respectively characterize the degree of influence of temperature rise and pressure rise under the thermal runaway state of the battery.

[0031] The calculation module is used to determine the design parameters of the battery gas generation test device based on the correction coefficient, normalized gas production rate, and reference temperature.

[0032] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0033] Obtain battery information and test parameters for the test battery sample; battery information includes battery system, state of charge, and battery capacity; test parameters include thermal runaway triggering method, reference temperature, and reference pressure.

[0034] The correction coefficients and normalized gas production are determined based on battery information and test parameters. The correction coefficients include the temperature rise coefficient and the pressure rise correction coefficient during the test process. The correction coefficients respectively characterize the degree of influence of temperature rise and pressure rise under the thermal runaway state of the battery.

[0035] The design parameters of the battery gas generation test device are determined based on the correction coefficient, normalized gas production rate, and reference temperature.

[0036] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0037] Obtain battery information and test parameters for the test battery sample; battery information includes battery system, state of charge, and battery capacity; test parameters include thermal runaway triggering method, reference temperature, and reference pressure.

[0038] The correction coefficients and normalized gas production are determined based on battery information and test parameters. The correction coefficients include the temperature rise coefficient and the pressure rise correction coefficient during the test process. The correction coefficients respectively characterize the degree of influence of temperature rise and pressure rise under the thermal runaway state of the battery.

[0039] The design parameters of the battery gas generation test device are determined based on the correction coefficient, normalized gas production rate, and reference temperature.

[0040] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0041] Obtain battery information and test parameters for the test battery sample; battery information includes battery system, state of charge, and battery capacity; test parameters include thermal runaway triggering method, reference temperature, and reference pressure.

[0042] The correction coefficients and normalized gas production are determined based on battery information and test parameters. The correction coefficients include the temperature rise coefficient and the pressure rise correction coefficient during the test process. The correction coefficients respectively characterize the degree of influence of temperature rise and pressure rise under the thermal runaway state of the battery.

[0043] The design parameters of the battery gas generation test device are determined based on the correction coefficient, normalized gas production rate, and reference temperature.

[0044] The aforementioned battery gas generation testing device design method, apparatus, equipment, storage medium, and program products acquire battery information and test parameters of the test battery sample. Battery information includes battery system, state of charge, and battery capacity. Test parameters include thermal runaway triggering method, reference temperature, and reference pressure. Correction coefficients and normalized gas generation are determined based on the battery information and test parameters. Correction coefficients include temperature rise coefficients and pressure rise correction coefficients during the test process. These correction coefficients characterize the degree of influence of temperature rise and pressure rise under battery thermal runaway conditions, respectively. The design parameters of the battery gas generation testing device are determined based on the correction coefficients, normalized gas generation, and reference temperature. By determining multiple correction coefficients closely related to the design parameters of the battery gas generation testing device using battery information and test parameters, the accuracy of design coefficient determination is improved. The calculation of pressure assessment, device volume range, and capacity range under thermal runaway conditions is more clearly defined, achieving standardized design of the battery gas generation testing device. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is an internal structural diagram of a computer device in one embodiment;

[0047] Figure 2 This is a flowchart illustrating the design method of a battery gas generation test device in one embodiment;

[0048] Figure 3 This is a schematic diagram illustrating the process of determining the correction coefficient and normalized gas production based on battery information and test parameters in one embodiment.

[0049] Figure 4 This is a schematic diagram illustrating the mapping relationship between specific energy density and temperature rise correction factor in one embodiment;

[0050] Figure 5 This is a schematic diagram illustrating the mapping relationship between specific energy density and pressure rise correction factor in one embodiment;

[0051] Figure 6 This is a schematic diagram of the process for determining the normalized gas production based on the battery system and battery capacity in one embodiment.

[0052] Figure 7 This is a schematic diagram illustrating the mapping relationship between specific energy density and normalized gas production in one embodiment;

[0053] Figure 8This is a flowchart illustrating the process of determining the temperature rise coefficient during testing based on the battery system and the thermal runaway triggering method in one embodiment.

[0054] Figure 9 This is a flowchart illustrating the process of determining the design parameters of a battery gas generation test device based on a correction factor, normalized gas generation rate, and reference temperature in one embodiment.

[0055] Figure 10 This is a flowchart illustrating the process of determining pressure parameters based on correction coefficients, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device in one embodiment.

[0056] Figure 11 This is a flowchart illustrating the design method of a battery gas generation testing device in another embodiment;

[0057] Figure 12 This is a structural block diagram of a battery gas generation testing device in one embodiment. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0059] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0060] Lithium-ion batteries are widely used in various scenarios such as vehicle power systems and stationary energy storage systems, but battery safety issues have not yet been fundamentally resolved. Under conditions of thermal abuse, electrical abuse, and mechanical abuse, batteries undergo a series of exothermic and gas-generating reactions, eventually reaching the preset pressure limit of the battery casing and triggering a burst, which can lead to battery system combustion and explosion. Accurate measurement of the gas generation characteristics at the battery cell level is crucial for intrinsic safety and protection design at the battery material and system levels. Currently, the gas generation characteristics of individual cells are typically measured using a measurement device based on a sealed constant-volume chamber. This device features high temperature and pressure resistance and good airtightness, allowing monitoring of the thermodynamic process of battery bursts, calculation of battery gas generation, and collection of burst materials. This device generally consists of a pressure-bearing main chamber, a gas storage and charging system, a data acquisition system, a thermal runaway triggering system, and a sensor integration system. As a pressure vessel, the design must consider the impact of high temperature and high pressure on the surrounding environment (within the chamber) caused by battery thermal runaway gas bursts. Pressure resistance design requires comprehensive consideration of the performance of the main cavity material, threaded connectors, and other seals, and also determines the range of battery capacity and systems that the device can test. Factors such as the amount of gaseous products released during battery thermal runaway testing, ambient temperature rise, and the intensity of gas eruption all affect the maximum and steady-state pressures during the test. If the correlation between pressure resistance design parameters and battery test information is unclear, it can lead to excessively large pressure resistance parameters and pressure sensor ranges. This can result in increased main cavity wall thickness, making the equipment bulky, and also make it difficult to meet the pressure resistance standards of threaded connectors and other seals. Although the production and processing of battery gas eruption testing devices are relatively mature, the design method for pressure parameters is unclear. Therefore, it is urgent to establish a complete design methodology for lithium-ion battery eruption and gas generation testing devices.

[0061] In view of the above-mentioned technical problems, this application provides a design method for a battery gas generation test device that can improve the accuracy of design parameters. The following embodiments will specifically illustrate the design method of the battery gas generation test device.

[0062] The design method for the battery gas generation testing device provided in this application embodiment can be applied to, for example... Figure 1 The computer device shown can be a server, and its internal structure diagram can be as follows: Figure 1As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database is used to test battery information and parameters of battery samples, such as battery system, state of charge, battery capacity, thermal runaway triggering method, reference temperature, and reference pressure. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a design method for a battery gas generation testing device.

[0063] Those skilled in the art will understand that Figure 1 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0064] In one exemplary embodiment, such as Figure 2 As shown, a design method for a battery gas generation testing device is provided. This embodiment illustrates the application of this method to a computer device. In this embodiment, the method includes:

[0065] S201, Obtain battery information and test parameters for the test battery sample.

[0066] The test battery samples can be any type of lithium-ion battery, lithium polymer battery, lithium iron phosphate battery, lithium cobalt oxide battery, lithium manganese oxide battery, lithium sulfur battery, solid-state lithium battery, and flexible lithium battery. Battery information includes battery system, state of charge (SOC), and battery capacity. The battery system can be any type of ternary battery system with different nickel contents or lithium iron phosphate (LFP) battery system. The SOC can be any value from 0% to 100%. Test parameters include the thermal runaway triggering method, reference temperature, and reference pressure. Thermal runaway triggering methods include, but are not limited to, collision, compression, puncture, overcharge, over-discharge, external short circuit, side heating, and oven heating. The reference temperature can be the initial temperature of the battery before thermal runaway occurs, and the reference pressure can be the initial pressure of the battery before thermal runaway occurs.

[0067] In the embodiments of this application, the computer device can obtain battery information and test parameters of the test battery sample in real time from the operation log of a known battery gas generation testing device. In some embodiments, the battery information and test parameters of the test battery sample can also be obtained in real time from relevant web pages using a web crawler within legal and compliant scope. Alternatively, the battery information and test parameters of the test battery sample can be collected at preset periodic intervals.

[0068] S202 determines the correction coefficient and normalized gas production based on battery information and test parameters.

[0069] The correction coefficients include the temperature rise coefficient and the pressure rise correction coefficient during the test process. The correction coefficients respectively characterize the degree of influence of temperature rise and pressure rise under the thermal runaway state of the battery. That is, the temperature rise coefficient during the test process characterizes the degree of influence of temperature rise under the thermal runaway state of the battery, and the pressure rise correction coefficient characterizes the degree of influence of pressure rise under the thermal runaway state of the battery.

[0070] In the embodiments of this application, different correction coefficients are associated with different battery information and test parameters. The computer device can extract target parameters from the battery information and test parameters based on the correlation between the correction coefficients and the battery information and test parameters, in order to calculate the corresponding correction coefficients and normalized gas production. In some embodiments, the computer device can extract the battery system from the battery information, extract the thermal runaway triggering mode from the test parameters, and determine the temperature rise coefficient during the test process based on the battery information and the thermal runaway triggering mode; extract the battery system and / or state of charge from the battery information, and determine the voltage rise correction coefficient based on the battery system and / or state of charge; extract the battery system and battery capacity from the battery information, and determine the normalized gas production based on the battery system and battery capacity.

[0071] S203, determine the design parameters of the battery gas generation test device based on the correction coefficient, the normalized gas production rate and the reference temperature.

[0072] The design parameters may include pressure parameters, maximum permissible test sample capacity, and maximum battery thermal runaway test device volume. Pressure parameters may include steady-state pressure and transient peak pressure.

[0073] In the embodiments of this application, different design parameters are configured with different calculation templates, namely, the calculation templates include a pressure parameter calculation template, a capacity calculation template, and a volume calculation template. The computer device can obtain the capacity of the test battery sample and the volume of the test device, and substitute the capacity of the test battery sample and the volume of the test device with correction coefficients according to the calculation templates of the design parameters to obtain the design parameters of the battery gas generation test device. In some embodiments, the computer device can substitute the correction coefficients, the capacity of the test battery sample, and the volume of the test device into the pressure parameter calculation template to obtain the pressure parameters; it can also substitute the correction coefficients and the capacity of the test battery sample into the volume calculation template to obtain the maximum battery thermal runaway test device volume; and it can also substitute the correction coefficients and the volume of the test device into the capacity calculation template to obtain the maximum allowable test sample capacity.

[0074] The design method for the aforementioned battery gas generation test device involves acquiring battery information and test parameters from the test battery sample. Battery information includes the battery system, state of charge, and battery capacity. Test parameters include the thermal runaway triggering method, reference temperature, and reference pressure. Correction coefficients and normalized gas generation are determined based on the battery information and test parameters. Correction coefficients include temperature rise coefficients and pressure rise correction coefficients during the test process. These correction coefficients characterize the degree of influence of temperature rise and pressure rise under thermal runaway conditions, respectively. The design parameters of the battery gas generation test device are determined based on the correction coefficients, normalized gas generation, and reference temperature. By determining multiple correction coefficients closely related to the design parameters of the battery gas generation test device using battery information and test parameters, the accuracy of the design coefficient determination is improved. The calculation of pressure assessment, device volume range, and capacity range under thermal runaway conditions is more clearly defined, enabling the standardized design of the battery gas generation test device.

[0075] In one exemplary embodiment, such as Figure 3 As shown, the correction coefficient and normalized gas production are determined based on battery information and test parameters, including:

[0076] S301 determines the temperature rise coefficient during the test process based on the battery system and the thermal runaway triggering method.

[0077] In the embodiments of this application, different thermal runaway triggering methods correspond to different test temperature rise range diagrams. The computer device can extract the thermal runaway triggering method from the test parameters. First, based on the mapping relationship between the thermal runaway triggering method and the test temperature rise range diagram, the test temperature rise range diagram corresponding to the current thermal runaway triggering method is determined. Then, the battery system is extracted from the battery information, and the battery system is matched with the battery system type in the test temperature rise range diagram to obtain the target temperature rise range corresponding to the battery system. Finally, the temperature rise coefficient of the test process is calculated based on the temperature rise value in the target temperature rise range.

[0078] In some embodiments, the computer device can also determine the temperature rise coefficient during the test process based on the specific energy density; that is, first determine the specific energy density corresponding to the battery system, and then obtain a graph showing the relationship between the specific energy density and the temperature rise correction coefficient, such as... Figure 4 As shown, the specific energy density corresponding to the battery system is matched with the horizontal axis in the relationship graph, and the temperature rise correction coefficient corresponding to the successfully matched specific energy density is used as the temperature rise coefficient during the test process.

[0079] S302, determine the voltage rise correction factor based on the battery system and / or state of charge.

[0080] In embodiments of this application, a computer device can extract the battery system from battery information, match the battery system with the battery systems in the mapping relationship based on the mapping relationship between the battery system and the voltage rise correction coefficient, and finally determine the voltage rise correction coefficient corresponding to the successfully matched battery system as the voltage rise correction coefficient corresponding to the test battery sample. In some embodiments, the mapping relationship between the battery system and the voltage rise correction coefficient can be: the voltage rise correction coefficient of ternary 8-series batteries and above can be taken from 1.1 to 2.0, the voltage rise correction coefficient of ternary 5-series and 6-series batteries can be taken from 1.08 to 1.6, and the voltage rise correction coefficient of LFP batteries can be taken from 1 to 1.06.

[0081] In some embodiments, the computer device can extract the state of charge (SOC) from the battery information. Based on the mapping relationship between SOC and voltage rise correction factor, it matches the SOC with the SOC in the mapping relationship, and finally determines the voltage rise correction factor corresponding to the successfully matched SOC as the voltage rise correction factor corresponding to the test battery sample. In some embodiments, the mapping relationship between SOC and voltage rise correction factor can be as follows: the voltage rise correction factor for a battery SOC of 50%~100% can be taken from 1 to 1.08, the voltage rise correction factor for a battery SOC of 100% can be taken from 1.00 to 1.29, and the voltage rise correction factor for a battery SOC of 0%~50% can be taken from 1 to 1.09. It should be noted that, generally, the calibration pressure parameters are assumed to be 100% SOC, at which point the corresponding operating condition is the most severe and closest to the limit condition.

[0082] In some embodiments, the computer device can also simultaneously determine the voltage rise correction factor based on both the battery system and the state of charge (SCC). Specifically, it determines the range of values ​​for the voltage rise correction factor corresponding to the battery system based on the mapping relationship between the battery system and the voltage rise correction factor, determines the range of values ​​for the voltage rise correction factor corresponding to the SCC based on the mapping relationship between the SCC and the voltage rise correction factor, determines the overlapping interval of the two ranges, and takes the maximum value within the overlapping interval to obtain the voltage rise correction factor.

[0083] In some embodiments, the computer device can also determine the voltage rise correction factor based on the specific energy density, that is, first determine the specific energy density corresponding to the battery system, and then obtain a graph showing the relationship between the specific energy density and the voltage rise correction factor, such as... Figure 5 As shown, the specific energy density corresponding to the battery system is matched with the horizontal axis in the relationship graph, and the voltage rise correction coefficient corresponding to the successfully matched specific energy density is used as the voltage rise correction coefficient required for the test process.

[0084] S303, the normalized gas production is determined based on the battery system.

[0085] In the embodiments of this application, the computer device is pre-configured with a library of normalized gas production rates under different battery systems and test conditions. First, based on the mapping relationship between battery systems and specific energy density, the specific energy density corresponding to the current battery system is determined. Finally, based on the mapping relationship between specific energy density and normalized gas production rate, the normalized gas production rate is determined.

[0086] By using battery information and test parameters, several correction coefficients closely related to the design parameters of the battery gas generation test device were determined, which improved the accuracy of the design coefficient determination.

[0087] In one exemplary embodiment, such as Figure 6 As shown, the normalized gas production is determined based on the battery system, including:

[0088] S401, determine the specific energy density of the battery system.

[0089] In the embodiments of this application, the computer device pre-stores the mapping relationship between battery systems and specific energy density. Using the battery system as a search unit, the specific energy density corresponding to the battery system can be directly determined. In some embodiments, the mapping relationship between battery systems and specific energy density can be: specific energy densities of ternary lithium batteries with different nickel contents are 350-400Wh / kg and 180-280Wh / kg, specific energy densities of lithium iron phosphate batteries are 200-250Wh / kg and 120-180Wh / kg, and specific energy densities of lithium cobalt oxide batteries are 270-300Wh / kg and 150-200Wh / kg. The above mapping relationship between battery systems and specific energy density is only an example, and may also include mapping relationships between other types of battery systems and specific energy density.

[0090] S402, the normalized gas production is determined based on the mapping relationship between specific energy density and normalized gas production.

[0091] In the embodiments of this application, the normalized gas production of different battery systems is approximately a constant value. For example, the normalized gas production of a ternary battery system under normal temperature, normal pressure, and 100% SOC conditions is close to 2 L / Ah (standard conditions). Computer equipment can extract the battery specific energy density from the battery parameters. Based on the mapping relationship between specific energy density and normalized gas production, such as... Figure 7 As shown, the normalized gas production rate corresponding to the current specific energy density is determined as the normalized gas production rate required for the test design. In some embodiments, the total gas production rate can also be calculated by using the normalized gas production rate and the battery capacity to determine subsequent design parameters. The total gas production rate can be expressed by the following relationship (1):

[0092] (1);

[0093] In the formula, Normalized gas production, in mol / Ah. Battery capacity, in Ah.

[0094] In some embodiments, the total gas production can also be expressed by the following relationship (2):

[0095] (2);

[0096] In the formula, n(t) is the gas production at time t, in mol. total Total gas production, in mol. The eruption progress is the proportion of gas produced at time t to the total gas production.

[0097] By using battery information and test parameters, several correction coefficients closely related to the design parameters of the battery gas generation test device were determined, which improved the accuracy of the design coefficient determination.

[0098] In one exemplary embodiment, such as Figure 8 As shown, the temperature rise coefficient during the test process is determined based on the battery system and the thermal runaway triggering method, including:

[0099] S601, obtain the test temperature rise range corresponding to the thermal runaway triggering mode, and determine the target temperature rise range corresponding to the battery system based on the test temperature rise range.

[0100] The target temperature rise range includes multiple temperature rise values.

[0101] In the embodiments of this application, the computer device pre-stores test temperature rise range diagrams corresponding to various thermal runaway triggering methods. The thermal runaway triggering method of the test battery sample is matched with the stored thermal runaway triggering methods to obtain the test temperature rise range corresponding to that thermal runaway triggering method. The battery system is then compared with the battery systems in the test temperature rise range to obtain the target temperature rise range corresponding to the battery system.

[0102] S602: Select the maximum temperature rise value from multiple temperature rise values ​​in the target temperature rise range, and determine the temperature rise coefficient of the test process based on the selected temperature rise value and the reference temperature.

[0103] In the embodiments of this application, the maximum temperature rise value can be selected from multiple temperature rise values ​​within the target temperature rise range as the target temperature rise value. For the selected target temperature rise value, the ratio of the target temperature rise value to the reference temperature is calculated, and the calculated ratio is summed with 1 to obtain the temperature rise coefficient of the test process, that is, the temperature rise coefficient of the test process α = 1 + temperature rise value (K) / initial temperature (K).

[0104] By using battery information and test parameters, several correction coefficients closely related to the design parameters of the battery gas generation test device were determined, which improved the accuracy of the design coefficient determination.

[0105] In one exemplary embodiment, such as Figure 9 As shown, the design parameters include pressure parameters, maximum permissible test sample capacity, and maximum battery thermal runaway test device volume. The design parameters of the battery gas generation test device are determined based on correction factors, normalized gas generation rate, and reference temperature, including:

[0106] S801, obtain the capacity of the test battery sample and the volume of the test device.

[0107] In the embodiments of this application, different design parameters are configured with different calculation templates, namely, the calculation templates include pressure parameter calculation templates, capacity calculation templates, and volume calculation templates. The computer equipment can obtain the capacity of the test battery sample and the volume of the test device, and substitute the capacity of the test battery sample and the volume of the test device with correction coefficients according to the calculation templates of the design parameters to obtain the design parameters of the battery gas generation test device.

[0108] S802 determines the pressure parameters based on the correction factor, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0109] In the embodiments of this application, the computer device can substitute the correction coefficient, normalized gas production rate, reference temperature, capacity of the test battery sample, and volume of the test device into the pressure parameter calculation template to calculate the pressure parameters. Specifically, the temperature rise coefficient, normalized gas production rate, reference temperature, capacity of the test battery sample, and volume of the test device are substituted into the steady-state pressure calculation template to calculate the steady-state pressure. The temperature rise coefficient, normalized gas production rate, pressure rise correction coefficient, reference temperature, capacity of the test battery sample, and volume of the test device are substituted into the transient peak pressure calculation template to calculate the transient peak pressure.

[0110] S803 determines the maximum volume of the battery thermal runaway test device based on the correction coefficient, normalized gas production, reference temperature, and the capacity of the test battery sample.

[0111] In the embodiments of this application, the computer device can substitute the correction coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device into the calculation template of the upper limit of the test device design pressure to calculate the upper limit of the test device design pressure. Then, the upper limit of the test device design pressure, the correction coefficient, normalized gas production, reference temperature, and capacity of the test battery sample can be substituted into the calculation template of the maximum battery thermal runaway test device volume to calculate the maximum battery thermal runaway test device volume. In some embodiments, the upper limit of the test device design pressure can be expressed by the following relationship (3):

[0112] (3);

[0113] In the formula, Design an upper pressure limit for the testing device. The temperature rise coefficient during the test process, This is the pressure rise correction factor. The safety margin design factor, where R is the universal gas constant. To normalize gas production, V represents the battery capacity, and V represents the volume of the testing device. The initial (reference) temperature inside the sealed container.

[0114] In some embodiments, the maximum battery thermal runaway test device volume can be expressed by the following relationship (4):

[0115] (4);

[0116] S804 determines the maximum permissible test sample capacity based on the correction factor, normalized gas production, reference temperature, test device volume, and pressure parameters.

[0117] In the embodiments of this application, the maximum permissible test sample capacity can be expressed by the following relationship (5):

[0118] (5);

[0119] By using battery information and test parameters, several correction coefficients closely related to the design parameters of the battery gas generation test device were determined, which improved the accuracy of the design coefficient determination.

[0120] In one exemplary embodiment, such as Figure 10As shown, the pressure parameters include steady-state pressure and transient peak pressure. These pressure parameters are determined based on correction factors, normalized gas production, reference temperature, the capacity of the test battery sample, and the volume of the test apparatus.

[0121] S901 calculates the steady-state pressure based on the temperature rise coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0122] In the embodiments of this application, the steady-state pressure can be expressed by the following relationship (6):

[0123] (6);

[0124] S902 calculates the transient peak pressure based on the temperature rise coefficient, pressure rise correction coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0125] In the embodiments of this application, the transient peak pressure can be expressed by the following relationship (7):

[0126] (7);

[0127] By using battery information and test parameters, several correction coefficients closely related to the design parameters of the battery gas generation test device were determined, which improved the accuracy of the design coefficient determination.

[0128] In addition to the methods of all the above embodiments, a design method for a battery gas generation testing device is also provided, such as... Figure 11 As shown, the method includes:

[0129] S1001, Obtain battery information and test parameters of the test battery sample; battery information includes battery system, state of charge, and battery capacity; test parameters include thermal runaway triggering method, reference temperature, and reference pressure;

[0130] S1002, obtain the test temperature rise range corresponding to the thermal runaway triggering mode, and determine the target temperature rise range corresponding to the battery system based on the test temperature rise range; the target temperature rise range includes multiple temperature rise values;

[0131] S1003: Select the maximum temperature rise value from multiple temperature rise values ​​in the target temperature rise range, and determine the temperature rise coefficient of the test process based on the selected temperature rise value and the reference temperature.

[0132] S1004, determine the voltage rise correction factor based on the battery system and / or state of charge;

[0133] S1005, determine the specific energy density of the battery system;

[0134] S1006, the normalized gas production is determined based on the mapping relationship between specific energy density and normalized gas production.

[0135] S1007, Obtain the capacity of the test battery sample and the volume of the test device;

[0136] S1008, calculates steady-state pressure based on temperature rise coefficient, normalized gas production, reference temperature, capacity of test battery sample and volume of test device;

[0137] S1009, calculates the transient peak pressure based on the temperature rise coefficient, pressure rise correction coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device;

[0138] S1010, determine the maximum volume of the battery thermal runaway test device based on the correction coefficient, normalized gas production, reference temperature and the capacity of the test battery sample;

[0139] S1011, the maximum allowable test sample capacity is determined based on the correction coefficient, normalized gas production, reference temperature, test device volume, and pressure parameters.

[0140] Each of the above steps has been described in the foregoing embodiments. For details, please refer to the foregoing content. They will not be repeated here.

[0141] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0142] Based on the same inventive concept, this application also provides a design apparatus for a battery gas generation testing device, which implements the design method of the battery gas generation testing device described above. The solution provided by this apparatus is similar to the implementation scheme described in the above method. Therefore, the specific limitations in one or more design apparatus embodiments of the battery gas generation testing device provided below can be found in the limitations of the design method of the battery gas generation testing device described above, and will not be repeated here.

[0143] In one exemplary embodiment, such as Figure 12 As shown, a design device for a battery gas generation testing apparatus is provided, comprising: an acquisition module 1101, a determination module 1102, and a calculation module 1103, wherein:

[0144] The acquisition module 1101 is used to acquire battery information and test parameters of the test battery sample; the battery information includes battery system, state of charge, and battery capacity; the test parameters include thermal runaway triggering method, reference temperature, and reference pressure.

[0145] The determination module 1102 is used to determine the correction coefficient and normalized gas production based on battery information and test parameters. The correction coefficient includes the temperature rise coefficient and pressure rise correction coefficient during the test process. The correction coefficients respectively characterize the degree of influence of temperature rise and pressure rise under the thermal runaway state of the battery.

[0146] The calculation module 1103 is used to determine the design parameters of the battery gas generation test device based on the correction coefficient, normalized gas generation rate and reference temperature.

[0147] In an exemplary embodiment, the determining module 1102 described above is specifically used for:

[0148] The temperature rise coefficient during the test process is determined based on the battery system and the thermal runaway triggering method.

[0149] Determine the voltage rise correction factor based on the battery system and / or state of charge;

[0150] The normalized gas production rate is determined based on the battery system.

[0151] In an exemplary embodiment, the determining module 1102 described above is specifically used for:

[0152] Determine the specific energy density of the battery system;

[0153] The normalized gas production rate is determined based on the mapping relationship between specific energy density and normalized gas production rate.

[0154] In an exemplary embodiment, the determining module 1102 described above is specifically used for:

[0155] Obtain the test temperature rise range corresponding to the thermal runaway triggering mode, and determine the target temperature rise range corresponding to the battery system based on the test temperature rise range; the target temperature rise range includes multiple temperature rise values;

[0156] Select the maximum temperature rise value from multiple temperature rise values ​​within the target temperature rise range, and determine the temperature rise coefficient during the test process based on the selected temperature rise value and the reference temperature.

[0157] In an exemplary embodiment, the above-described calculation module 1103 is specifically used for:

[0158] Obtain the capacity of the test battery sample and the volume of the test device;

[0159] The pressure parameters are determined based on the correction factor, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0160] The maximum volume of the battery thermal runaway test device is determined based on the correction factor, normalized gas production, reference temperature, and the capacity of the test battery sample.

[0161] The maximum allowable test sample capacity is determined based on the correction factor, normalized gas production, reference temperature, test device volume, and pressure parameters.

[0162] In an exemplary embodiment, the above-described calculation module 1103 is specifically used for:

[0163] The steady-state pressure is calculated based on the temperature rise coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0164] The transient peak pressure is calculated based on the temperature rise coefficient, pressure rise correction coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0165] The various modules in the aforementioned battery gas generation testing device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0166] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, performs the following steps:

[0167] Obtain battery information and test parameters for the test battery sample; battery information includes battery system, state of charge, and battery capacity; test parameters include thermal runaway triggering method, reference temperature, and reference pressure.

[0168] The correction coefficients and normalized gas production are determined based on battery information and test parameters. The correction coefficients include the temperature rise coefficient and the pressure rise correction coefficient during the test process. The correction coefficients respectively characterize the degree of influence of temperature rise and pressure rise under the thermal runaway state of the battery.

[0169] The design parameters of the battery gas generation test device are determined based on the correction coefficient, normalized gas production rate, and reference temperature.

[0170] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0171] The temperature rise coefficient during the test process is determined based on the battery system and the thermal runaway triggering method.

[0172] Determine the voltage rise correction factor based on the battery system and / or state of charge;

[0173] The normalized gas production rate is determined based on the battery system.

[0174] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0175] Determine the specific energy density of the battery system;

[0176] The normalized gas production rate is determined based on the mapping relationship between specific energy density and normalized gas production rate.

[0177] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0178] Obtain the test temperature rise range corresponding to the thermal runaway triggering mode, and determine the target temperature rise range corresponding to the battery system based on the test temperature rise range; the target temperature rise range includes multiple temperature rise values;

[0179] Select the maximum temperature rise value from multiple temperature rise values ​​within the target temperature rise range, and determine the temperature rise coefficient during the test process based on the selected temperature rise value and the reference temperature.

[0180] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0181] Obtain the capacity of the test battery sample and the volume of the test device;

[0182] The pressure parameters are determined based on the correction factor, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0183] The maximum volume of the battery thermal runaway test device is determined based on the correction factor, normalized gas production, reference temperature, and the capacity of the test battery sample.

[0184] The maximum allowable test sample capacity is determined based on the correction factor, normalized gas production, reference temperature, test device volume, and pressure parameters.

[0185] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0186] The steady-state pressure is calculated based on the temperature rise coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0187] The transient peak pressure is calculated based on the temperature rise coefficient, pressure rise correction coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0188] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0189] Obtain battery information and test parameters for the test battery sample; battery information includes battery system, state of charge, and battery capacity; test parameters include thermal runaway triggering method, reference temperature, and reference pressure.

[0190] The correction coefficients and normalized gas production are determined based on battery information and test parameters. The correction coefficients include the temperature rise coefficient and the pressure rise correction coefficient during the test process. The correction coefficients respectively characterize the degree of influence of temperature rise and pressure rise under the thermal runaway state of the battery.

[0191] The design parameters of the battery gas generation test device are determined based on the correction coefficient, normalized gas production rate, and reference temperature.

[0192] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0193] The temperature rise coefficient during the test process is determined based on the battery system and the thermal runaway triggering method.

[0194] Determine the voltage rise correction factor based on the battery system and / or state of charge;

[0195] The normalized gas production rate is determined based on the battery system.

[0196] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0197] Determine the specific energy density of the battery system;

[0198] The normalized gas production rate is determined based on the mapping relationship between specific energy density and normalized gas production rate.

[0199] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0200] Obtain the test temperature rise range corresponding to the thermal runaway triggering mode, and determine the target temperature rise range corresponding to the battery system based on the test temperature rise range; the target temperature rise range includes multiple temperature rise values;

[0201] Select the maximum temperature rise value from multiple temperature rise values ​​within the target temperature rise range, and determine the temperature rise coefficient during the test process based on the selected temperature rise value and the reference temperature.

[0202] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0203] Obtain the capacity of the test battery sample and the volume of the test device;

[0204] The pressure parameters are determined based on the correction factor, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0205] The maximum volume of the battery thermal runaway test device is determined based on the correction factor, normalized gas production, reference temperature, and the capacity of the test battery sample.

[0206] The maximum allowable test sample capacity is determined based on the correction factor, normalized gas production, reference temperature, test device volume, and pressure parameters.

[0207] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0208] The steady-state pressure is calculated based on the temperature rise coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0209] The transient peak pressure is calculated based on the temperature rise coefficient, pressure rise correction coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0210] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0211] Obtain battery information and test parameters for the test battery sample; battery information includes battery system, state of charge, and battery capacity; test parameters include thermal runaway triggering method, reference temperature, and reference pressure.

[0212] The correction coefficients and normalized gas production are determined based on battery information and test parameters. The correction coefficients include the temperature rise coefficient and the pressure rise correction coefficient during the test process. The correction coefficients respectively characterize the degree of influence of temperature rise and pressure rise under the thermal runaway state of the battery.

[0213] The design parameters of the battery gas generation test device are determined based on the correction coefficient, normalized gas production rate, and reference temperature.

[0214] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0215] The temperature rise coefficient during the test process is determined based on the battery system and the thermal runaway triggering method.

[0216] Determine the voltage rise correction factor based on the battery system and / or state of charge;

[0217] The normalized gas production rate is determined based on the battery system.

[0218] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0219] Determine the specific energy density of the battery system;

[0220] The normalized gas production rate is determined based on the mapping relationship between specific energy density and normalized gas production rate.

[0221] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0222] Obtain the test temperature rise range corresponding to the thermal runaway triggering mode, and determine the target temperature rise range corresponding to the battery system based on the test temperature rise range; the target temperature rise range includes multiple temperature rise values;

[0223] Select the maximum temperature rise value from multiple temperature rise values ​​within the target temperature rise range, and determine the temperature rise coefficient during the test process based on the selected temperature rise value and the reference temperature.

[0224] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0225] Obtain the capacity of the test battery sample and the volume of the test device;

[0226] The pressure parameters are determined based on the correction factor, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0227] The maximum volume of the battery thermal runaway test device is determined based on the correction factor, normalized gas production, reference temperature, and the capacity of the test battery sample.

[0228] The maximum allowable test sample capacity is determined based on the correction factor, normalized gas production, reference temperature, test device volume, and pressure parameters.

[0229] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0230] The steady-state pressure is calculated based on the temperature rise coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0231] The transient peak pressure is calculated based on the temperature rise coefficient, pressure rise correction coefficient, normalized gas production, reference temperature, capacity of the test battery sample, and volume of the test device.

[0232] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory 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), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0233] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0234] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A design method for a battery gas generation testing device, characterized in that, The method includes: Obtain battery information and test parameters for the test battery sample; the battery information includes battery system, state of charge, and battery capacity; the test parameters include thermal runaway triggering method, reference temperature, and reference pressure. The correction coefficients and normalized gas production are determined based on the battery information and the test parameters. The correction coefficients include the temperature rise coefficient and the pressure rise correction coefficient during the test process. The correction coefficients respectively characterize the degree of influence of temperature rise and pressure rise under the thermal runaway state of the battery. The design parameters of the battery gas generation test device are determined based on the correction coefficient, the normalized gas production rate, and the reference temperature.

2. The method according to claim 1, characterized in that, The step of determining the correction coefficient and normalized gas production based on the battery information and the test parameters includes: The temperature rise coefficient during the test process is determined based on the battery system and the thermal runaway triggering method. The voltage rise correction factor is determined based on the battery system and / or the state of charge. The normalized gas production rate is determined based on the battery system.

3. The method according to claim 2, characterized in that, Determining the normalized gas production based on the battery system includes: Determine the specific energy density corresponding to the battery system; The normalized gas production is determined based on the mapping relationship between specific energy density and normalized gas production.

4. The method according to claim 2, characterized in that, Determining the temperature rise coefficient during the test process based on the battery system and the reference temperature includes: Obtain the test temperature rise range corresponding to the thermal runaway triggering method, and determine the target temperature rise range corresponding to the battery system based on the test temperature rise range; the target temperature rise range includes multiple temperature rise values; The maximum temperature rise value is selected from multiple temperature rise values ​​within the target temperature rise range, and the temperature rise coefficient of the test process is determined based on the selected temperature rise value and the reference temperature.

5. The method according to any one of claims 1-4, characterized in that, The design parameters include pressure parameters, maximum permissible test sample capacity, and maximum battery thermal runaway test device volume. Determining the design parameters of the battery gas generation test device based on the correction coefficient, the normalized gas generation rate, and the reference temperature includes: Obtain the capacity of the test battery sample and the volume of the test device; The pressure parameters are determined based on the correction coefficient, the normalized gas production, the reference temperature, the capacity of the test battery sample, and the volume of the test device. The volume of the maximum battery thermal runaway test device is determined based on the correction coefficient, the normalized gas production, the reference temperature, and the capacity of the test battery sample. The maximum allowable test sample capacity is determined based on the correction coefficient, the normalized gas production rate, the reference temperature, the test device volume, and the pressure parameter.

6. The method according to claim 5, characterized in that, The pressure parameters include steady-state pressure and transient peak pressure. Determining the pressure parameters based on the correction coefficient, the normalized gas production rate, the reference temperature, the capacity of the test battery sample, and the volume of the test device includes: The steady-state pressure is calculated based on the temperature rise coefficient, the normalized gas production rate, the reference temperature, the capacity of the test battery sample, and the volume of the test device. The transient peak pressure is calculated based on the temperature rise coefficient, the pressure rise correction coefficient, the normalized gas production, the reference temperature, the capacity of the test battery sample, and the volume of the test device.

7. A design device for a battery gas generation testing apparatus, characterized in that, The device includes: The acquisition module is used to acquire battery information and test parameters of the test battery sample; the battery information includes battery system, state of charge, and battery capacity; the test parameters include thermal runaway triggering mode, reference temperature, and reference pressure. The determination module is used to determine the correction coefficient and normalized gas production based on the battery information and the test parameters; the correction coefficient includes the temperature rise coefficient and the pressure rise correction coefficient during the test process; the correction coefficients respectively characterize the degree of influence of temperature rise and pressure rise under the thermal runaway state of the battery. The calculation module is used to determine the design parameters of the battery gas generation test device based on the correction coefficient, the normalized gas generation rate, and the reference temperature.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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