Method and device for carrying out performance simulation test on battery, electronic equipment and medium

Abstract

The invention discloses a method and device for carrying out performance simulation test on a battery, electronic equipment and a medium. According to the technical scheme of the embodiment of the invention, after the simulation test instruction for the battery is received, the simulation test model which can be best matched with the current electrical performance index of the battery is selected for the battery based on the current use state and the constituent material of the battery; therefore, the simulation test model is subsequently utilized to carry out performance simulation test on the battery. Therefore, on one hand, the problem that the accuracy of a simulation test result is not high due to the fact that battery materials are diversified and the electrical performance level of the battery in different use states is greatly changed in the prior art is solved. And on the other hand, the current electrical performance level of the battery can be known at any time node of the battery, so that the effect of performing simulation test on the battery by using the most suitable simulation test model all the time is realized.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a method, device, electronic device, and medium for performing performance simulation testing on a battery. Background Art

[0002] Lithium-ion batteries have become the main power source for contemporary electric devices due to their advantages.

[0003] In related technologies, business platforms often use unified test models to predict battery electrical performance, and can then propose improvements to battery design based on the simulation results. However, a problem with these solutions is that they fail to consider the impact of the battery's usage status on its electrical performance. This results in low accuracy in the simulation test results of existing technologies.

[0004] It should be noted that the above statements are only used to provide background technical information related to this application and do not necessarily constitute prior art. Summary of the Invention

[0005] The embodiments of the present application provide a method, apparatus, electronic device, and medium for performing a performance simulation test on a battery, thereby alleviating the problem in related technologies that the different battery usage states significantly affect the electrical performance level, resulting in low accuracy of simulation test results.

[0006] According to one aspect of an embodiment of the present application, a method for performing a performance simulation test on a battery is provided, comprising:

[0007] receiving a simulation test instruction for a battery to be tested, and determining a battery indicator of the battery to be tested, wherein the battery indicator is used to reflect a current usage status and battery material of the battery to be tested;

[0008] Based on the battery indicators, a target simulation test model associated with the battery to be tested is determined, and a performance simulation test is performed on the battery to be tested using the target simulation test model.

[0009] By applying the technical solution of the embodiment of the present application, after receiving the simulation test instruction for the battery, a simulation test model that best matches the current electrical performance indicators of the battery can be selected based on the current usage status and constituent materials of the battery, so that the battery can be subsequently subjected to performance simulation testing using the simulation test model. This alleviates the problem that the accuracy of the simulation test results is low due to the variety of battery materials and large variations in the electrical performance levels of batteries in different usage states that occurs in related technologies. On the other hand, the current electrical performance level of the battery can also be understood at any time point, thereby achieving the effect of always performing simulation tests on it using the most appropriate simulation test model.

[0010] Optionally, in another embodiment based on the above method of the present application, based on the battery indicators, determining the target simulation test model associated with the battery to be tested includes: obtaining the battery material in the battery indicators and determining the chemical system type that matches the battery material; and obtaining each candidate simulation test model included in the chemical system type; obtaining the current usage status in the battery indicators, and selecting the target simulation test model that matches the current usage status from each candidate simulation test model. By applying the technical solution of the embodiment of the present application, it is possible to first determine the initial chemical system type of the battery based on its constituent materials, and further indirectly determine the target test model that meets the current electrical performance level of the battery from multiple test models under the chemical system type according to the current usage status of the battery. Thereby achieving a technical solution for locating the current electrical performance level of the battery by using its current usage status.

[0011] Optionally, in another embodiment of the method described above, selecting the target simulation test model that matches the current usage state from candidate simulation test models includes: obtaining a pre-established numerical correlation between different usage states and corresponding electrical performance indicators, starting from an initial electrical performance indicator, wherein the initial electrical performance indicator reflects the factory electrical performance value of the battery to be tested; obtaining a corresponding corrected electrical performance indicator from the numerical correlation based on the current usage state; and selecting the target simulation test model from the candidate simulation test models based on the corrected electrical performance indicator. By applying the technical solutions of the embodiments of the present application, since different simulation test models are suitable for testing batteries with different electrical performance levels, the present application can first determine the electrical performance level range corresponding to the initial simulation test model based on the battery's constituent materials, and further obtain its attenuated corrected electrical performance level based on the battery's current usage state. Subsequently, the corrected electrical performance level is used to select the most suitable target simulation test model for the battery for simulation testing. This achieves the effect of utilizing pre-established correlations to achieve real-time understanding of the current electrical performance levels of different batteries.

[0012] Optionally, based on the corrected electrical performance index, the target simulation test model is selected from each candidate simulation test model, including: obtaining the candidate electrical performance index associated with each candidate simulation test model; and using the candidate simulation test model corresponding to the candidate electrical performance index that matches the corrected electrical performance index as the target simulation test model. By applying the technical solution of the embodiment of the present application, since the test model of the prior art is only suitable for simulating the electrical performance level of fresh batteries, after determining the current electrical performance level of the battery to be tested, the present application can selectively select the chemical system type that best matches the battery to be tested from the electrical performance indicators corresponding to each chemical system type. This achieves an effect of using a pre-established association relationship to achieve real-time understanding of the current chemical system type of different batteries.

[0013] Optionally, in another embodiment of the above-mentioned method of the present application, based on the simulation type corresponding to the simulation test instruction, selecting the target simulation test model associated with the battery indicator includes: obtaining the parameters to be tested required to execute the simulation test instruction of the simulation type, the parameters to be tested including at least one of a current parameter, a voltage parameter, and a temperature parameter; and selecting the target simulation test model that can support the parameters to be tested from the candidate simulation test models associated with the battery indicator. By applying the technical solution of the embodiment of the present application, since each test model type is used to simulate and test batteries with different electrical performance ranges, the present application can also use the simulation type of the current simulation test to specifically select the target simulation test model in the process of selecting a matching target simulation test model for the battery to be tested. It can be understood that since the simulation test models associated with this simulation type are all used to detect batteries to be tested with specific electrical performance objects, the embodiment of the present application can obtain a relatively accurate performance simulation test result. This avoids the effect of using an unsupported simulation test model to simulate and test the battery to be tested, which may lead to inaccurate test results.

[0014] Optionally, in another embodiment based on the above method of the present application, before receiving the simulation test instruction for the battery to be tested, it also includes: obtaining the model design parameters required for performing simulation tests of different simulation types under each chemical system type, wherein each chemical system type is used to reflect the basic electrical performance value of at least one battery material; combining each model design parameter with the initial simulation test model to generate a corresponding simulation test model, and associating each simulation test model with the corresponding chemical system type. By applying the technical solution of the embodiment of the present application, different types of model design parameters can be produced through standard design according to the chemical system classification of each battery, and the relevant standard system name, model design parameters and performance test are input into the performance simulation platform, thereby creating and correcting simulation test models under different system types, until finally obtaining simulation test models of all chemical system types to form a complete system model library. Thereby achieving a method in which the corresponding model can be directly called when performing subsequent simulation tests, thereby achieving the effect of quickly obtaining simulation test results.

[0015] Optionally, in another embodiment based on the above-mentioned method of the present application, the simulation test instruction includes the battery design scheme of the battery to be tested; the target simulation test model associated with the chemical system type is used to perform a performance simulation test on the battery to be tested, including: inputting the design parameters in the battery design scheme into the target simulation test model to obtain the simulation test results of the battery to be tested. By applying the technical solution of the embodiment of the present application, the battery cell design scheme can be used as input to enter the automated simulation module, automatically extract the design parameters required for the simulation, and match the simulation test model according to the parameters to be tested corresponding to the simulation test instruction. Thereby, a corresponding model can be directly called when performing a subsequent simulation test, thereby achieving the effect of quickly obtaining the simulation test results.

[0016] According to another aspect of the embodiments of the present application, a device for performing a performance simulation test on a battery is provided, comprising:

[0017] a receiving module configured to receive a simulation test instruction for a battery to be tested and determine a battery indicator of the battery to be tested, wherein the battery indicator is used to reflect a current usage status and battery material of the battery to be tested;

[0018] The determination module is configured to determine a target simulation test model associated with the battery to be tested based on the battery indicator, and perform a performance simulation test on the battery to be tested using the target simulation test model.

[0019] By applying the technical solution of the embodiment of the present application, after receiving the simulation test instruction for the battery, a simulation test model that best matches the current electrical performance indicators of the battery can be selected based on the current usage status and constituent materials of the battery, so that the battery can be subsequently subjected to performance simulation testing using the simulation test model. This alleviates the problem that the accuracy of the simulation test results is low due to the variety of battery materials and large variations in the electrical performance levels of batteries in different usage states that occurs in related technologies. On the other hand, the current electrical performance level of the battery can also be understood at any time point, thereby achieving the effect of always performing simulation tests on it using the most appropriate simulation test model.

[0020] According to another aspect of the embodiments of the present application, an electronic device is provided, including:

[0021] a memory for storing executable instructions; and

[0022] A processor is configured to execute the executable instructions with the memory to complete the operations of any of the above methods.

[0023] According to another aspect of an embodiment of the present application, a computer-readable medium is provided for storing computer-readable instructions, wherein the instructions, when executed, perform the operations of any of the above-described methods.

[0024] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other effects, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present application and, together with the description, serve to explain the principles of the present application.

[0026] The present application can be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:

[0027] Figure 1 A schematic diagram of a method for performing a performance simulation test on a battery provided in one embodiment of the present application is shown;

[0028] Figure 2 A schematic diagram showing a numerical correlation relationship provided by an embodiment of the present application is shown;

[0029] Figure 3 A schematic diagram of a system architecture for performing a performance simulation test on a battery provided by an embodiment of the present application is shown;

[0030] Figure 4 A schematic diagram of the overall process of a method for performing a performance simulation test on a battery provided in one embodiment of the present application is shown;

[0031] Figure 5 A schematic structural diagram of an electronic device provided in one embodiment of the present application is shown;

[0032] Figure 6 A schematic structural diagram of an electronic device provided in one embodiment of the present application is shown;

[0033] Figure 7 A schematic diagram of a medium provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0034] The following embodiments of the technical solution of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application and are therefore only examples and are not intended to limit the scope of protection of the present application.

[0035] Unless otherwise defined, all technical and scientific terms used herein have the same meanings as commonly understood by those skilled in the art to which this application belongs; the terms used herein are only for describing the effects of specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0036] In the description of the embodiments of this application, the technical terms "first" and "second" are used only to distinguish different objects and should not be understood to indicate or imply relative importance or implicitly specify the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.

[0037] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0038] In the description of the embodiments of this application, the term "and / or" is simply a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0039] The following combination Figure 1-Figure 4 The following describes a method for performing a performance simulation test on a battery according to an exemplary embodiment of the present application. It should be noted that the following application scenarios are merely provided to facilitate understanding of the spirit and principles of the embodiments of the present application, and the embodiments of the present application are not limited in this respect. Rather, the embodiments of the present application can be applied to any applicable scenario.

[0040] The electronic device disclosed in the embodiments of the present application may be one or more computing devices, or may be a server or a server cluster composed of multiple servers.

[0041] In related technologies, power batteries are core components of electric vehicles and other electric devices. Understandably, conducting simulation performance testing on power batteries is crucial for ensuring the power and safety performance of electric vehicles. Consequently, battery testing is gaining increasing attention.

[0042] As an example, the simulation test of the battery may be a simulation test of fast charging, high temperature capacity retention, pulse discharge, etc.

[0043] In one approach, the present application can utilize a battery simulation platform to perform simulation testing. It is understood that a battery simulation platform is a platform that simulates a real battery for simulation testing, which can perform relevant experimental tests, thereby shortening the time for product development and battery verification testing.

[0044] In one approach, the battery simulation platform can fully simulate the design parameters of the input and output characteristics of various batteries under test. It can replace physical power battery equipment for testing experiments in the new energy electric vehicle industry, such as motor controllers, drive motors, and complete vehicles.

[0045] In the related art, there is a problem in the process of simulating and testing batteries in the prior art. That is, the test model of the prior art is designed for newly manufactured batteries. In other words, it is only suitable for simulating and testing batteries with initial electrical performance levels. However, in the actual use scenario of batteries, batteries with different usage times usually have different usage states and thus different electrical performance levels. Therefore, the technical solution of using a unified test model to predict the electrical performance level of batteries in the related art may result in low accuracy of the simulation test solution results.

[0046] Therefore, in order to solve the problem mentioned above, the related art can only rely solely on the constituent materials of the battery to determine the simulation test scheme for it, which leads to low accuracy of the simulation test results. The embodiment of the present application provides a method for performing performance simulation testing on a battery. The solution is that after receiving a simulation test instruction for a battery, based on the current usage status and constituent materials of the battery, a simulation test model that best matches the current electrical performance indicators of the battery is selected for it, so that the performance simulation test of the battery can be subsequently performed using the simulation test model.

[0047] In one embodiment, the present application further provides a method, device, electronic device, and medium for performing performance simulation testing on a battery.

[0048] Figure 1 The flowchart of a method for performing a performance simulation test on a battery according to an embodiment of the present application is schematically shown. Figure 1 As shown, the method includes:

[0049] S201 : receiving a simulation test instruction for a battery to be tested, and determining a battery index of the battery to be tested, where the battery index is used to reflect the current usage status and battery material of the battery to be tested.

[0050] S202 : determining a target simulation test model associated with the battery to be tested based on the battery indicators, and performing a performance simulation test on the battery to be tested using the target simulation test model.

[0051] In the related art, when conducting actual battery testing, engineers often need to prepare for each step of testing a real battery, such as first charging or discharging the battery, then stopping it, and finally testing it, which usually takes a long time.

[0052] Based on this, an embodiment of the present application proposes a technical solution for performing simulation testing on a battery to be tested using a simulation testing platform.

[0053] In one approach, the embodiments of the present application can pre-build different chemical system types based on the material categories of various batteries to be tested, and specifically create multiple different candidate simulation test models for each chemical system type.

[0054] In one embodiment, the simulation test of the embodiment of the present application may include a charge simulation test, a discharge simulation test, a high temperature capacity retention test, and the like.

[0055] In one embodiment, the performance simulation platform of the present application can perform performance simulation tests on batteries under any usage status, such as batteries that have just been shipped from the factory or old batteries.

[0056] As an example, a simulation test model is used to perform performance simulation tests on batteries to be tested in a range of electrical performance levels. For example, simulation test model A is used to perform charging simulation tests on batteries to be tested in an initial electrical performance level range (i.e., a short service life, such as the factory electrical performance indicators), simulation test model B is used to perform discharge simulation tests on batteries to be tested in a medium electrical performance level range (i.e., a certain service life, such as 90%-60% of the factory electrical performance indicators), simulation test model C is used to perform high-temperature capacity retention simulation tests on batteries to be tested in a low electrical performance level range (i.e., a long service life, such as 60%-30% of the factory electrical performance indicators), and so on.

[0057] In one embodiment, the electrical performance indicators in the embodiments of the present application may include multiple parameters of the battery, such as the battery's usage time, battery application conditions, battery nominal capacity, battery health status, etc.

[0058] In one approach, by introducing a performance simulation platform, the embodiments of the present application can predict the electrical performance levels of devices such as batteries or single cells in the early stages of solution formulation, thereby shortening the product development cycle and proposing improvement directions for solution optimization based on performance simulation results.

[0059] In the related art, when selecting simulation test models for batteries, only a single simulation test model under a chemical system type that matches the battery's material structure is usually considered. However, as the battery increases in use, one or more of its basic electrical performance indicators may change (e.g., decay), which may also cause the battery's electrical performance level to change accordingly.

[0060] It is understandable that during the performance simulation test of the battery, if the judgment of its electrical performance level is wrong, it may be simulated and tested using an incompatible simulation test model (because a simulation test model is only suitable for testing batteries within a range of electrical performance levels), which may lead to inaccurate test results.

[0061] In one embodiment, after receiving a simulation test instruction for a battery to be tested, the embodiment of the present application can select a matching target simulation test model for the battery to be tested based on the current usage status of the battery to be tested and the battery materials (i.e., battery indicators). This allows the battery to be subsequently subjected to a performance simulation test based on the target simulation test model.

[0062] In one embodiment, the current usage status in the embodiment of the present application can be determined based on at least one of the following parameters of the battery to be tested:

[0063] Battery usage time, battery application conditions, battery nominal capacity, battery health status SOH, battery charge and discharge times, battery storage capacity attenuation ratio, battery over-thickness ratio, battery DC internal resistance, etc.

[0064] The above description of the various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced with each other and will not be repeated herein for the sake of brevity.

[0065] By applying the technical solution of the embodiment of the present application, after receiving the simulation test instruction for the battery, a simulation test model that best matches the current electrical performance indicators of the battery can be selected based on the current usage status and constituent materials of the battery, so that the battery can be subsequently subjected to performance simulation testing using the simulation test model. This alleviates the problem that the accuracy of the simulation test results is low due to the variety of battery materials and large variations in the electrical performance levels of batteries in different usage states that occurs in related technologies. On the other hand, the current electrical performance level of the battery can also be understood at any time point, thereby achieving the effect of always performing simulation tests on it using the most appropriate simulation test model.

[0066] Optionally, in another embodiment based on the above method of the present application, a target simulation test model associated with the battery to be tested is determined based on the battery indicators, including: obtaining the battery material in the battery indicators and determining the chemical system type that matches the battery material; and obtaining each candidate simulation test model included under the chemical system type; obtaining the current usage status in the battery indicators, and selecting a target simulation test model that matches the current usage status from each candidate simulation test model.

[0067] In one embodiment, the chemical system of the battery to be tested in the present application is used to reflect the chemical composition of the battery, which may include, for example, a lithium cobalt oxide (LCO) system, a lithium iron phosphate (LFP) system, and a ternary nickel cobalt manganese (NMC / NCM) system.

[0068] In one approach, embodiments of the present application may first determine the initial chemical system type of the battery to be tested based on the battery material.

[0069] As an example, when it is detected that the positive electrode material of the battery to be tested uses lithium iron phosphate material, the battery material of the test battery is determined to be "lithium iron phosphate material", and its initial simulation test model is determined to be "lithium iron phosphate chemical system", as well as the various candidate simulation test models corresponding to the "lithium iron chemical system".

[0070] Among them, each candidate simulation test model is used to simulate the batteries to be tested with different electrical performance levels (reflected by parameters such as battery usage time, battery application conditions, battery nominal capacity, battery health status SOH, battery charge and discharge times, battery storage capacity attenuation ratio, battery over-thickness ratio, battery DC internal resistance, etc.).

[0071] As an example, candidate simulation test model 1 is used to simulate the test of the battery to be tested with 100% electrical performance indicators, candidate simulation test model 2 is used to simulate the test of the battery to be tested with 80% electrical performance indicators, candidate simulation test model 3 is used to simulate the test of the battery to be tested with 50% electrical performance indicators, and so on.

[0072] Furthermore, the embodiment of the present application also needs to determine the current usage status of the battery to be tested, for example, represented by the current usage duration of the battery (for example, "1000 days"). And obtain a pre-established numerical correlation relationship between different usage states of the lithium iron phosphate battery and the corresponding electrical performance indicators. In this way, candidate simulation test model 2 is selected as the target simulation test model from multiple candidate simulation test models.

[0073] By applying the technical solutions of the embodiments of this application, it is possible to first determine the initial chemical system type of the battery based on its constituent materials, and then indirectly determine whether the battery's current electrical performance level has exceeded the range of the initial simulation test model based on its current usage status. This achieves a technical solution for correcting the battery's electrical performance level based on its current usage status.

[0074] Optionally, in another embodiment based on the above method of the present application, a target simulation test model that matches the current usage status is selected from each candidate simulation test model, including: obtaining a pre-established numerical correlation relationship between different usage status and corresponding electrical performance indicators starting from the initial electrical performance indicators, wherein the initial electrical performance indicators are used to reflect the factory electrical performance values of the battery to be tested; based on the current usage status, obtaining the corresponding corrected electrical performance indicators from the numerical correlation relationship; based on the corrected electrical performance indicators, selecting the target simulation test model from each candidate simulation test model.

[0075] In one embodiment, the electrical performance indicators in the embodiments of the present application can be: battery usage time, battery application conditions, battery nominal capacity, battery health status SOH, battery charge and discharge times, battery storage capacity attenuation ratio, battery over-thickness ratio, battery DC internal resistance, etc.

[0076] In one approach, since batteries in different usage states correspond to different electrical performance indicators, the present application can, after obtaining the current usage state of the battery to be tested, substitute it into a preset numerical association to obtain a corrected electrical performance indicator that best suits the battery to be tested.

[0077] like Figure 2 As shown, taking the current usage status of the battery as determined based on the battery usage time as an example, Figure 2 The horizontal axis represents the usage status reflected by the battery usage time, and the vertical axis represents the electrical performance index corresponding to the usage status. Figure 2 It can be seen that as the battery's service life increases, its corresponding electrical performance indicators will also decay.

[0078] As another example, the numerical correlation between different usage states (reflected by the battery usage time) and the corresponding electrical performance indicators can also be expressed as the following relationship equation:

[0079] y=ax+b;

[0080] Where x is the usage time, y is the electrical performance index, and a and b are configurable coefficients.

[0081] That is to say, after obtaining the numerical correlation between the lithium iron phosphate battery in different usage states and the corresponding electrical performance indicators, the embodiment of the present application substitutes the battery's usage time "1000 days" into the above-mentioned relationship equation, and then obtains the corrected electrical performance indicator corresponding to the battery to be tested (that is, the corrected electrical performance indicator of the battery to be tested is 70% of the initial electrical performance indicator).

[0082] That is, for a battery to be tested that has been used for "1000 days", its corrected electrical performance index is "70% of the initial electrical performance index", and the target simulation test model can be selected based on the corrected electrical performance index in the future.

[0083] By applying the technical solutions of the embodiments of the present application, since different simulation test models are suitable for testing batteries with different electrical performance levels, the present application can first determine the electrical performance level range corresponding to its initial simulation test model based on the constituent materials of the battery, and further obtain its corrected electrical performance level after attenuation based on its current usage status. This allows the battery to subsequently select the most suitable target simulation test model for simulation testing based on the corrected electrical performance level. This achieves the effect of using a pre-established association relationship to achieve real-time understanding of the current electrical performance level status of different batteries.

[0084] Optionally, based on the corrected electrical performance indicators, a target simulation test model is selected from each candidate simulation test model, including: obtaining the candidate electrical performance indicators associated with each candidate simulation test model; and taking the candidate simulation test model corresponding to the candidate electrical performance indicator that matches the corrected electrical performance indicator as the target simulation test model.

[0085] In one approach, since the revised electrical performance index is different from the initial electrical performance index, this indicates that the electrical performance level of the battery to be tested has changed (i.e., its electrical performance value has attenuated to a certain extent relative to the factory value due to excessive usage, which has caused its revised electrical performance index to fall into the range of other simulation test models). Therefore, in this embodiment of the application, the target simulation test model can be used as the test model for the battery to be tested (because the target simulation test model is suitable for performing simulation tests on the battery to be tested with the revised electrical performance index).

[0086] By applying the technical solutions of the embodiments of this application, since existing test models are only suitable for simulating the electrical performance levels of fresh batteries, this application, after determining the current electrical performance level of the battery under test, can specifically select the chemical system type that best matches the battery under test from the electrical performance indicators corresponding to each chemical system type. This achieves the effect of using pre-established associations to achieve real-time understanding of the current chemical system type of different batteries.

[0087] Optionally, in another embodiment based on the above method of the present application, based on the simulation type corresponding to the simulation test instruction, a target simulation test model associated with the battery indicator is selected, including: obtaining the parameters to be tested required for executing the simulation test instruction of the simulation type, the parameters to be tested including at least one of current parameters, voltage parameters and temperature parameters; and selecting a target simulation test model that can support the parameters to be tested from the candidate simulation test models associated with the battery indicator.

[0088] In one method, after the embodiment of the present application determines the corresponding target simulation test model through the battery indicators and battery materials of the battery to be tested, if it contains multiple target simulation test models, it can also select the target simulation test model that matches the simulation type corresponding to this simulation test instruction to perform performance simulation testing on it.

[0089] It can be understood that, for example, the target simulation test model includes three simulation test models, which respectively include:

[0090] Target simulation test model A is used to perform charging simulation test on the battery to be tested in the "ternary chemical system", target simulation test model B is used to perform discharge simulation test on the battery to be tested in the "ternary chemical system", target simulation test model C is used to perform high-temperature capacity retention simulation test on the battery to be tested in the "ternary chemical system", and so on.

[0091] Based on this, the embodiment of the present application can select a simulation test model that can support the current / voltage / temperature according to the test parameters corresponding to the simulation type that needs to be tested this time (that is, used to reflect the current size, and / or voltage size, and / or temperature size required for this simulation test, etc.), and use it as the target simulation test model to perform performance simulation testing on the battery to be tested.

[0092] By applying the technical solution of the embodiment of the present application, since each test model type is used to simulate the test of the battery to be tested with different electrical performance ranges. Therefore, in the process of selecting a matching target simulation test model for the battery to be tested, the present application can also use the simulation type of this simulation test to specifically select the target simulation test model. It can be understood that since the simulation test models associated with this simulation type are all used to detect the battery to be tested with a specific electrical performance object, the embodiment of the present application can obtain a relatively accurate performance simulation test result. This avoids the effect of using an unsupported simulation test model to simulate the battery to be tested, thereby leading to inaccurate test results.

[0093] Optionally, in another embodiment of the above method based on the present application, before receiving the simulation test instruction for the battery to be tested, it also includes: obtaining the model design parameters required for performing simulation tests of different simulation types under each chemical system type, wherein each chemical system type is used to reflect the basic electrical performance value of at least one battery material; combining each model design parameter with the initial simulation test model to generate a corresponding simulation test model, and associating each simulation test model with the corresponding chemical system type.

[0094] In one approach, after obtaining the performance simulation results for the battery to be tested, embodiments of the present application can compare the output simulation results with the customer's required specifications. If they meet the requirements, the test is considered passed. Otherwise, it is determined to have failed. Furthermore, the unreasonableness of the design information for any failures can be explained, allowing subsequent business personnel to optimize the battery design.

[0095] By applying the technical solutions of the embodiments of this application, different types of model design parameters can be produced through standard design according to the chemical system classification of each battery. The relevant standard system name, model design parameters, and performance test are then input into the performance simulation platform to create and correct simulation test models for different system types, until simulation test models for all chemical system types are finally obtained, forming a complete system model library. This allows the corresponding model to be directly called during subsequent simulation tests, thereby achieving the effect of quickly obtaining simulation test results.

[0096] Optionally, in another embodiment based on the above method of the present application, the simulation test instruction includes a battery design scheme of the battery to be tested; and a performance simulation test is performed on the battery to be tested using a target simulation test model associated with the chemical system type, including: inputting the design parameters in the battery design scheme into the target simulation test model to obtain the simulation test results of the battery to be tested.

[0097] In one embodiment, the battery design solution proposed in the embodiments of the present application may include the design information and electrical performance indicators of the battery.

[0098] Among them, the battery design information can be selected by the user according to his own business needs, by inputting the corresponding design parameters and selecting the model, and then creating simulation items according to actual needs, and performing structured simulation calculations to achieve the purpose of achieving simulation types for different performances, formulating corresponding performance parameter input templates, and building a structured information transmission model. The background automatically transmits the simulation requirement file output by the model to the performance simulation platform.

[0099] As can be understood, the present embodiment uses the previously constructed generation model database to select the generation model corresponding to the solution, retrieves the required performance simulation type from the simulation model library, and automatically transfers the required simulation parameters to the model in a structured manner, achieving automatic output of simulation reports and analysis results. This significantly improves the intelligent level of battery research and development.

[0100] In one embodiment, the simulation test platform proposed in this application is as follows: Figure 3 As shown, it includes an automated simulation model and a battery cell performance simulation platform.

[0101] The battery performance simulation platform stores multiple simulation model libraries for various chemical system types, and the automated simulation model is used to execute the battery performance simulation test method proposed in the embodiment of the present application.

[0102] In one approach, for the process of constructing a battery cell performance simulation platform, the embodiment of the present application can first classify each battery according to its chemical system, produce different types of sample batteries through standard design, conduct relevant short-term electrical performance tests, input the relevant standard system name, model design parameters and performance test into the performance simulation platform, create and correct the system model, and finally obtain simulation models of all chemical systems to form a complete system model library. The model can be directly retrieved for subsequent simulations without the need for model creation and correction.

[0103] By applying the technical solutions of the embodiments of this application, different types of model design parameters can be produced through standard design according to the chemical system classification of each battery. The relevant standard system name, model design parameters, and performance test are then input into the performance simulation platform to create and correct simulation test models for different system types, until simulation test models for all chemical system types are finally obtained, forming a complete system model library. This allows the corresponding model to be directly called during subsequent simulation tests, thereby achieving the effect of quickly obtaining simulation test results.

[0104] Optionally, in another embodiment based on the above method of the present application, a simulation test instruction for the battery to be tested is received, including: the simulation test instruction includes a battery design scheme of the battery to be tested; using a target simulation test model associated with the chemical system type, a performance simulation test is performed on the battery to be tested, including: inputting the design parameters in the battery design scheme into the target simulation test model to obtain the simulation test results of the battery to be tested.

[0105] In one method, the embodiment of the present application can use the battery design scheme as input to enter the automated simulation module, automatically extract the design parameters required for simulation, match the information transmission model according to the input requirement type, automatically generate a simulation input file, run the performance simulation function, transfer the design parameters and simulation files to the performance simulation platform, automatically match the system model database after reading the system name, select the system model, call the required simulation type in the simulation model library, automatically run the calculation simulation, generate a simulation result file after all are completed, return it to the automated simulation module, perform structured extraction on the result file, automatically compare it with the various performance indicators in the requirements and display the comparison results, so as to realize the output of automated performance simulation results.

[0106] By applying the technical solutions of the embodiments of this application, the battery cell design can be used as input to enter the automated simulation module, automatically extract the design parameters required for simulation, and match the simulation test model according to the test parameters corresponding to the simulation test instructions. This allows the corresponding model to be directly called during subsequent simulation tests, thereby achieving the effect of quickly obtaining simulation test results.

[0107] As an example, combined Figure 4 A method for performing a performance simulation test on a battery proposed in an embodiment of the present application is described in detail:

[0108] Step 1: After receiving a simulation test instruction for a battery to be tested, determine the current usage status and battery material of the battery to be tested.

[0109] Step 2: Obtain the battery material in the battery index and determine the chemical system type that matches the battery material.

[0110] Step 3: Obtain each candidate simulation test model included in the chemical system type.

[0111] Step 4: Obtain a pre-established numerical correlation relationship between different usage states and corresponding electrical performance indicators, starting from the initial electrical performance indicator.

[0112] The initial electrical performance index is used to reflect the factory electrical performance value of the battery to be tested.

[0113] Step 5: Based on the current usage status, obtain the corresponding corrected electrical performance index from the numerical association relationship.

[0114] Step 6: Obtain the candidate electrical performance indicators associated with each candidate simulation test model, and use the candidate simulation test model corresponding to the candidate electrical performance indicator that matches the corrected electrical performance indicator as the target simulation test model.

[0115] Step 7: Obtain the parameters to be tested required for executing the simulation test instruction of the simulation type.

[0116] The parameters to be tested include at least one of a current parameter, a voltage parameter and a temperature parameter.

[0117] The chemical system type is associated with at least one simulation test model that matches the basic electrical performance parameters of the battery to be tested.

[0118] Step 8: Select a target simulation test model that can support the parameters to be tested from the candidate simulation test models associated with the battery indicators.

[0119] Step 9: Use the target simulation test model to perform a performance simulation test on the battery to be tested.

[0120] By applying the technical solution of the embodiment of the present application, after receiving the simulation test instruction for the battery, a simulation test model that best matches the current electrical performance indicators of the battery can be selected based on the current usage status and constituent materials of the battery, so that the battery can be subsequently subjected to performance simulation testing using the simulation test model. This alleviates the problem that the accuracy of the simulation test results is low due to the variety of battery materials and large variations in the electrical performance levels of batteries in different usage states that occurs in related technologies. On the other hand, the current electrical performance level of the battery can also be understood at any time point, thereby achieving the effect of always performing simulation tests on it using the most appropriate simulation test model.

[0121] In the prior art, when determining a battery's chemistry, only the material structure is typically considered. However, as a battery ages, one or more of its fundamental electrical performance indicators may change (e.g., decay), which may also lead to a change in the battery's chemistry.

[0122] It is understandable that during the performance simulation test of the battery, if the chemical system type is misjudged, an incompatible simulation test model may be used to simulate it (because different chemical system types are associated with test models with different test indicators), which will lead to inaccurate test results.

[0123] In one embodiment, after receiving a simulation test instruction for a battery to be tested, the embodiment of the present application can select a matching chemical system type for the battery to be tested based on the battery's usage time and battery materials (i.e., battery indicators). This allows the battery to be subsequently subjected to a performance simulation test based on a target simulation test model associated with the chemical system type.

[0124] In summary, the technical solution of the embodiment of the present application is that after receiving the simulation test instruction for the battery, a chemical system type that best reflects the current electrical performance indicators of the battery is selected based on the service life and constituent materials of the battery, so that the battery can subsequently be subjected to performance simulation testing from the simulation test model associated with the chemical system type.

[0125] The above description of the various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced with each other and will not be repeated herein for the sake of brevity.

[0126] By applying the technical solution of the embodiment of the present application, after receiving the simulation test instruction for the battery, the chemical system type that best reflects the current electrical performance indicators of the battery can be selected based on the service life of the battery and the constituent materials, so that the battery can be subsequently subjected to performance simulation testing from the simulation test model associated with the chemical system type. This alleviates the problem that the accuracy of the simulation test results is not high due to the variety of battery materials and large changes in electrical performance levels in the related art. On the other hand, the current electrical performance level of the battery can also be understood at any time point, thereby achieving the effect of always performing simulation testing on it with the most appropriate simulation test model.

[0127] In one embodiment, based on the above method of the present application, the chemical system type associated with the battery to be tested is determined based on the battery indicators, including: obtaining the battery material in the battery indicators and determining the initial chemical system type that matches the battery material; detecting the degree of correction of the initial chemical system type due to the usage time, and determining the chemical system type based on the correction degree.

[0128] In one approach, embodiments of the present application may first determine the initial chemical system type of the battery to be tested based on the battery material.

[0129] As an example, when it is detected that the positive electrode material of the battery to be tested uses lithium iron phosphate material, the battery material of the test battery is determined to be "lithium iron phosphate material", and its initial chemical system type is determined to be "lithium iron chemical system", and the basic electrical performance range corresponding to the "lithium iron chemical system" is "optimal use capacity SOH is 78%-82%".

[0130] Furthermore, the embodiment of the present application also needs to determine that the usage time of the battery to be tested is "1000 days" and obtain other pre-established numerical correlations that reflect the relationship between different usage times of the lithium iron phosphate battery and the corresponding basic electrical performance.

[0131] By applying the technical solutions of the embodiments of this application, it is possible to first determine the initial chemical system type of the battery based on its constituent materials, and then indirectly determine whether the battery's current electrical performance level has exceeded the range of the initial chemical system type based on its service life. This achieves a technical solution for correcting the battery's electrical performance level using its service life.

[0132] Optionally, in another embodiment based on the above method of the present application, the chemical system type is determined based on the degree of correction, including: determining the basic electrical performance range corresponding to the initial chemical system type; and obtaining the initial basic electrical performance value of the battery to be tested, and obtaining a pre-established numerical correlation relationship between different usage time and corresponding basic electrical performance starting from the initial basic electrical performance value, the initial basic electrical performance value is used to characterize the factory electrical performance value of the battery to be tested; based on the usage time, the corresponding corrected basic electrical performance value is obtained from the numerical correlation relationship; based on the corrected basic electrical performance value and the basic electrical performance range, the chemical system type is determined.

[0133] In one approach, different basic electrical performance indicators correspond to different numerical correlations, for example, the operating temperature indicator corresponds to one numerical correlation, and the operating voltage indicator corresponds to another numerical correlation.

[0134] That is, for the battery to be tested that has been used for "1000 days", its corrected basic electrical performance value is "70%", while the basic electrical performance range corresponding to its initial chemical system type (i.e., iron-lithium chemical system) is "78%-82%".

[0135] By applying the technical solution of the embodiment of the present application, since the chemical system type can reflect the basic electrical performance indicators of different batteries. Therefore, in the embodiment of the present application, the electrical performance level range corresponding to the initial chemical system type can be first determined based on the constituent materials of the battery, and further the current electrical performance level after attenuation can be obtained based on its service life. So that the current chemical system type of the battery to be tested can be judged based on whether its current electrical performance level falls within the electrical performance level range. Thereby achieving an effect of using a pre-established association relationship to achieve real-time understanding of the current electrical performance level status of different batteries.

[0136] Optionally, the chemical system type is determined based on the corrected basic electrical property value and the basic electrical property range, including: detecting that the corrected basic electrical property value is within the basic electrical property range, and determining the initial chemical system type as the chemical system type; or, detecting that the corrected basic electrical property value is not within the basic electrical property range, determining the target electrical property range to which the corrected basic electrical property value belongs, and taking the target chemical system type corresponding to the target electrical property range as the chemical system type.

[0137] In one way, since the corrected basic electrical performance value is not within the basic electrical performance range, this means that the optimal chemical system type of the battery to be tested has changed (that is, its basic electrical performance value has decayed to a certain extent due to long usage time, which has caused its basic electrical performance level to fall into the range of other chemical system types).

[0138] Therefore, the embodiment of the present application can use "ternary chemical system" as the chemical system type of the battery to be tested (because the basic electrical performance range of the ternary chemical system is 70%, and the corrected basic electrical performance value of the battery to be tested is within this range).

[0139] By applying the technical solutions of the embodiments of this application, since chemical system types are essentially a classification method used to reflect the basic electrical performance indicators of different batteries, after determining the current electrical performance level of the battery under test, the embodiments of this application can specifically select the learning system type that best matches the battery under test from the electrical performance range corresponding to each chemical system type. This achieves the effect of using pre-established associations to achieve real-time understanding of the current learning system type of different batteries.

[0140] The above description of the various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced with each other and will not be repeated herein for the sake of brevity.

[0141] Optionally, in another embodiment of the present application, Figure 5 As shown, the present application also provides a device for performing performance simulation testing on a battery. The device includes:

[0142] The receiving module 201 is configured to receive a simulation test instruction for a battery to be tested and determine a battery indicator of the battery to be tested, where the battery indicator is used to reflect the current usage status and battery material of the battery to be tested;

[0143] The determination module 202 is configured to determine a target simulation test model associated with the battery to be tested based on the battery indicator, and perform a performance simulation test on the battery to be tested using the target simulation test model.

[0144] By applying the technical solution of the embodiment of the present application, after receiving the simulation test instruction for the battery, a simulation test model that best matches the current electrical performance indicators of the battery can be selected based on the current usage status and constituent materials of the battery, so that the battery can be subsequently subjected to performance simulation testing using the simulation test model. This alleviates the problem that the accuracy of the simulation test results is low due to the variety of battery materials and large variations in the electrical performance levels of batteries in different usage states that occurs in related technologies. On the other hand, the current electrical performance level of the battery can also be understood at any time point, thereby achieving the effect of always performing simulation tests on it using the most appropriate simulation test model.

[0145] In another embodiment of the present application, the determination module 202 is configured to:

[0146] Obtaining the battery material in the battery indicator and determining a chemical system type that matches the battery material; and obtaining each candidate simulation test model included in the chemical system type;

[0147] The current usage status in the battery indicator is obtained, and the target simulation test model that matches the current usage status is selected from each candidate simulation test model.

[0148] In another embodiment of the present application, the determination module 202 is configured to:

[0149] Obtaining a pre-established numerical correlation relationship between different usage states and corresponding electrical performance indicators, starting from an initial electrical performance indicator, wherein the initial electrical performance indicator is used to reflect the factory electrical performance value of the battery to be tested;

[0150] Based on the current usage state, obtaining a corresponding corrected electrical performance indicator from the numerical association relationship;

[0151] Based on the corrected electrical performance indicator, the target simulation test model is selected from each candidate simulation test model.

[0152] In another embodiment of the present application, the determination module 202 is configured to:

[0153] Obtaining candidate electrical performance indicators associated with each candidate simulation test model;

[0154] The candidate simulation test model corresponding to the candidate electrical performance indicator that matches the corrected electrical performance indicator is used as the target simulation test model.

[0155] In another embodiment of the present application, the determination module 202 is configured to:

[0156] Selecting the target simulation test model associated with the battery indicator based on the simulation type corresponding to the simulation test instruction;

[0157] The target simulation test model is used to perform a performance simulation test on the battery to be tested.

[0158] In another embodiment of the present application, the receiving module 201 is configured to:

[0159] Acquire parameters to be tested required for executing the simulation test instruction of the simulation type, wherein the parameters to be tested include at least one of a current parameter, a voltage parameter, and a temperature parameter;

[0160] The target simulation test model that can support the parameters to be tested is selected from the candidate simulation test models associated with the battery indicator.

[0161] In another embodiment of the present application, the receiving module 201 is configured to:

[0162] Obtaining model design parameters required to perform simulation tests of different simulation types under each chemical system type, where each chemical system type is used to reflect the basic electrical performance value of at least one battery material;

[0163] Each model design parameter is combined with the initial simulation test model to generate a corresponding simulation test model, and each simulation test model is associated with a corresponding chemical system type.

[0164] In another embodiment of the present application, the receiving module 201 is configured to:

[0165] The simulation test instruction includes a battery design scheme of the battery to be tested;

[0166] The method of performing a performance simulation test on the battery to be tested by using the target simulation test model includes:

[0167] The design parameters in the battery design solution are input into the target simulation test model to obtain simulation test results for the battery to be tested.

[0168] The above description of the various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced with each other and will not be repeated herein for the sake of brevity.

[0169] The present application also provides an electronic device to perform the above-mentioned method of battery performance simulation test. Figure 6 , which shows a schematic diagram of an electronic device provided by some embodiments of the present application. Figure 6As shown, the electronic device 3 includes: a processor 300, a memory 301, a bus 302 and a communication interface 303, and the processor 300, the communication interface 303 and the memory 301 are connected via the bus 302; the memory 301 stores a computer program that can be run on the processor 300, and when the processor 300 runs the computer program, it executes the method for performing performance simulation testing on a battery provided in any of the aforementioned embodiments of the present application.

[0170] The memory 301 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage. The communication connection between the device network element and at least one other network element is achieved through at least one communication interface 303 (which may be wired or wireless), and may use the Internet, a wide area network, a local area network, a metropolitan area network, etc.

[0171] Bus 302 may be an ISA bus, a PCI bus, or an EISA bus. The bus may be divided into an address bus, a data bus, a control bus, and the like. Memory 301 is used to store programs, and processor 300 executes the programs upon receiving execution instructions. The method for performing a performance simulation test on a battery disclosed in any of the aforementioned embodiments of the present application may be applied to or implemented by processor 300.

[0172] The processor 300 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 300 or instructions in the form of software. The above-mentioned processor 300 can be a general-purpose processor, including a processor (Central Processing Unit, referred to as CPU), a network processor (Network Processor, referred to as NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The various methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed.

[0173] A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this application can be directly implemented and executed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module can be located in a medium well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. This medium is located in memory 301, and processor 300 reads the information in memory 301 and, in conjunction with its hardware, completes the steps of the above method.

[0174] The electronic device provided in the embodiment of the present application and the method for performing performance simulation testing on a battery provided in the embodiment of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, operated or implemented therein.

[0175] The above description of the various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced with each other and will not be repeated herein for the sake of brevity.

[0176] The present application also provides a computer-readable medium corresponding to the method for performing a performance simulation test on a battery provided in the above embodiment. Figure 7 The computer-readable medium shown is a CD 40 on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it executes the method for performing performance simulation testing on a battery provided by any of the aforementioned embodiments.

[0177] It should be noted that examples of the computer-readable medium may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical or magnetic media, which are not listed here one by one.

[0178] The computer-readable medium provided in the above-mentioned embodiments of the present application and the method for performing performance simulation testing on a battery provided in the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0179] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and they should all be included in the scope of the claims and specification of the present application. In particular, as long as there is no structural conflict, the various technical features mentioned in the various embodiments can be combined in any way. The present application is not limited to the specific embodiments disclosed herein, but includes all technical solutions that fall within the scope of the claims.

Claims

1. A method for performing a performance simulation test on a battery, characterized in that: include: receiving a simulation test instruction for a battery to be tested, and determining a battery indicator of the battery to be tested, wherein the battery indicator is used to reflect a current usage status and battery material of the battery to be tested; Based on the battery indicators, a target simulation test model associated with the battery to be tested is determined, and a performance simulation test is performed on the battery to be tested using the target simulation test model.

2. The method according to claim 1, wherein: The step of determining a target simulation test model associated with the battery to be tested based on the battery indicator includes: Obtaining the battery material in the battery indicator and determining a chemical system type that matches the battery material; and obtaining each candidate simulation test model included in the chemical system type; The current usage status in the battery indicator is obtained, and the target simulation test model that matches the current usage status is selected from each candidate simulation test model.

3. The method according to claim 2, wherein: The step of selecting the target simulation test model that matches the current usage state from the candidate simulation test models includes: Obtaining a pre-established numerical correlation relationship between different usage states and corresponding electrical performance indicators, starting from an initial electrical performance indicator, wherein the initial electrical performance indicator is used to reflect the factory electrical performance value of the battery to be tested; Based on the current usage state, obtaining a corresponding corrected electrical performance indicator from the numerical association relationship; Based on the corrected electrical performance indicator, the target simulation test model is selected from each candidate simulation test model.

4. The method according to claim 3, wherein: The step of selecting the target simulation test model from the candidate simulation test models based on the corrected electrical performance indicator includes: Obtaining candidate electrical performance indicators associated with each candidate simulation test model; The candidate simulation test model corresponding to the candidate electrical performance indicator that matches the corrected electrical performance indicator is used as the target simulation test model.

5. The method according to claim 1, wherein: The step of determining a target simulation test model associated with the battery to be tested based on the battery indicator includes: Selecting the target simulation test model associated with the battery indicator based on the simulation type corresponding to the simulation test instruction; The target simulation test model is used to perform a performance simulation test on the battery to be tested.

6. The method according to claim 5, wherein: The selecting the target simulation test model associated with the battery indicator based on the simulation type corresponding to the simulation test instruction includes: Acquire parameters to be tested required for executing the simulation test instruction of the simulation type, wherein the parameters to be tested include at least one of a current parameter, a voltage parameter, and a temperature parameter; The target simulation test model that can support the parameters to be tested is selected from the candidate simulation test models associated with the battery indicator.

7. The method according to claim 1, wherein: Before receiving the simulation test instruction for the battery to be tested, the method further includes: Obtaining model design parameters required to perform simulation tests of different simulation types under each chemical system type, where each chemical system type is used to reflect the basic electrical performance value of at least one battery material; Each model design parameter is combined with the initial simulation test model to generate a corresponding simulation test model, and each simulation test model is associated with a corresponding chemical system type.

8. The method according to claim 1, wherein: The simulation test instruction includes a battery design scheme of the battery to be tested; The method of performing a performance simulation test on the battery to be tested by using the target simulation test model includes: The design parameters in the battery design solution are input into the target simulation test model to obtain simulation test results for the battery to be tested.

9. A device for performing performance simulation testing on a battery, characterized in that: include: a receiving module configured to receive a simulation test instruction for a battery to be tested and determine a battery indicator of the battery to be tested, wherein the battery indicator is used to reflect a current usage status and battery material of the battery to be tested; The determination module is configured to determine a target simulation test model associated with the battery to be tested based on the battery indicator, and perform a performance simulation test on the battery to be tested using the target simulation test model.

10. An electronic device, characterized in that: include: a memory for storing executable instructions; as well as, A processor is configured to execute the executable instructions to thereby perform the operations of any of the methods described in claims 1-8.

11. A computer-readable medium for storing computer-readable instructions, characterized in that: The instructions are used to execute the operations of the method according to any one of claims 1 to 8.

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