Open-circuit voltage prediction method and device for lithium iron phosphate battery

Abstract

The invention belongs to the technical field of battery detection, and discloses an open-circuit voltage prediction method and device for a lithium iron phosphate battery, and the method comprises the steps: dividing a plurality of first parameter sets through an initial parameter set containing a small number of test parameters, and obtaining a corresponding first open-circuit voltage through combination with a battery test cabinet; then, a second parameter set and a third parameter set containing part of test parameters can be defined in sequence according to all the first parameter sets, and all the first open-circuit voltages are processed in combination with a semi-empirical model to predict the target open-circuit voltage under the full-temperature and full-capacitance condition, so that the test time is effectively shortened, and the experiment cost is saved; and the prediction efficiency and accuracy of the open-circuit voltage of the lithium iron phosphate battery under the full-temperature and full-capacitance condition can be ensured.

Description

Technical Field

[0001] The present application belongs to the field of battery detection technology, and in particular relates to a method and device for predicting the open circuit voltage of a lithium iron phosphate battery. Background Art

[0002] The open circuit voltage (OCV) of a battery refers to the potential difference across the battery when there is no external load (or when the circuit is disconnected). It is closely related to factors such as the battery's state of charge (SOC), temperature, and aging.

[0003] Among them, there is generally a specific relationship between the open circuit voltage and state of charge of different types of batteries, which is crucial for the battery management system to accurately estimate the remaining power of the battery. At present, the open circuit voltage-state of charge analysis method for lithium iron phosphate batteries is mainly based on experimental testing in battery test cabinets. However, this method requires multiple adjustments to the temperature or capacity. The static time required for each temperature adjustment or capacity adjustment is too long, which not only leads to a longer overall test cycle time, but also easily causes a waste of test resources. Summary of the invention

[0004] In order to solve the technical defects that the experimental test method mentioned above needs to adjust the temperature or battery capacity multiple times, and the static time required for each temperature adjustment or battery capacity adjustment is too long, which not only leads to a long overall test cycle time, but also easily causes waste of test resources, etc., a method and device for predicting the open circuit voltage of lithium iron phosphate batteries are proposed, and the technical solution is as follows: In a first aspect, an embodiment of the present application provides a method for predicting an open circuit voltage of a lithium iron phosphate battery, comprising: Divide the initial parameter set into at least two first parameter sets, and obtain all first open circuit voltages of the battery to be tested under each first parameter set; wherein each first parameter set includes at least three groups of first test parameters; Determine a second parameter set according to each first parameter set, and predict all second open circuit voltages of the battery to be tested under the corresponding second parameter set based on all corresponding first open circuit voltages; wherein each second parameter set includes all first test parameters in the corresponding first parameter set and at least one group of second test parameters; At least two third parameter sets are determined based on all the second parameter sets, and the target open circuit voltage of the battery to be tested is predicted based on all the second open circuit voltages and all the third parameter sets; wherein at least one third parameter set includes a set of first test parameters and at least one set of third test parameters in each second parameter set, and at least one third parameter set includes a set of second test parameters and at least one set of fourth test parameters in each second parameter set.

[0005] In an optional solution of the first aspect, each set of first test parameters includes a first initial parameter and a second initial parameter; The initial parameter set is divided into at least two first parameter sets, including: At least two first initial parameters in the initial parameter set are determined, and the initial parameter set is divided based on each first initial parameter to obtain a corresponding first parameter set; wherein the first initial parameters of all first test parameters in each first parameter set are consistent.

[0006] In yet another optional solution of the first aspect, each set of second test parameters includes a first initial parameter in a corresponding first parameter set, and a first target parameter; Based on all corresponding first open circuit voltages, predicting all second open circuit voltages of the battery to be tested under the corresponding second parameter set includes: Constructing a first voltage relationship according to all second initial parameters in each first parameter set and a first open circuit voltage corresponding to each second initial parameter; Each first target parameter and each second initial parameter in the corresponding second parameter set are respectively input into the first voltage relationship equation to obtain all second open circuit voltages of the battery to be tested under the corresponding second parameter set.

[0007] In yet another optional solution of the first aspect, determining at least two third parameter sets according to all second parameter sets includes: All first target parameters and all second initial parameters in all second parameter sets are counted, and based on each first target parameter and each second initial parameter, a corresponding third parameter set is determined; wherein, all first test parameters and all third test parameters in at least one third parameter set include the same second initial parameter; and all second test parameters and all fourth test parameters in at least one third parameter set include the same first target parameter.

[0008] In another optional solution of the first aspect, each set of third test parameters includes the second initial parameter in the corresponding third parameter set, and the second target parameter; each set of fourth test parameters includes the first target parameter in the corresponding third parameter set, and the third target parameter; Based on all the second open circuit voltages and all the third parameter sets, a target open circuit voltage of the battery to be tested is predicted, including: Constructing a second voltage relationship according to all first initial parameters corresponding to each second initial parameter in all third parameter sets, and all corresponding second open-circuit voltages; Inputting all first initial parameters and all second target parameters corresponding to each second initial parameter in all third parameter sets into the second voltage relationship respectively to obtain a corresponding third open circuit voltage; Constructing a third voltage relationship according to all first initial parameters corresponding to each first target parameter in all third parameter sets, and all corresponding second open-circuit voltages; Inputting all first initial parameters and all third target parameters corresponding to each first target parameter in all third parameter sets into the third voltage relationship equation respectively to obtain a corresponding fourth open circuit voltage; All the third open-circuit voltages and all the fourth open-circuit voltages are used as target open-circuit voltages of the battery to be tested.

[0009] In another optional solution of the first aspect, after predicting the target open circuit voltage of the battery to be tested based on all the second open circuit voltages and all the third parameter sets, the method further includes: Based on all first open-circuit voltages corresponding to all first parameter sets, a voltage variation trend is obtained, and according to the voltage variation trend, it is determined whether the target open-circuit voltage has at least one abnormal open-circuit voltage; When it is determined that there is at least one abnormal open circuit voltage in the target open circuit voltage, correction processing is performed on all the abnormal open circuit voltages.

[0010] In another optional solution of the first aspect, the first initial parameter is an initial temperature parameter, and the second initial parameter is an initial capacitance parameter; or The first initial parameter is an initial capacitance parameter, and the second initial parameter is an initial temperature parameter.

[0011] In a second aspect, an embodiment of the present application provides an open circuit voltage prediction device for a lithium iron phosphate battery, comprising: A voltage acquisition module, used to divide the initial parameter set into at least two first parameter sets, and obtain all first open circuit voltages of the battery to be tested under each first parameter set; wherein each first parameter set includes at least three groups of first test parameters; A first prediction module, used to determine a second parameter set according to each first parameter set, and predict all second open circuit voltages of the battery to be tested under the corresponding second parameter set based on all corresponding first open circuit voltages; wherein each second parameter set includes all first test parameters in the corresponding first parameter set, and at least one group of second test parameters; A second prediction module is used to determine at least two third parameter sets based on all the second parameter sets, and predict the target open circuit voltage of the battery to be tested based on all the second open circuit voltages and all the third parameter sets; wherein at least one third parameter set includes a group of first test parameters and at least one group of third test parameters in each second parameter set, and at least one third parameter set includes a group of second test parameters and at least one group of fourth test parameters in each second parameter set.

[0012] In a third aspect, an embodiment of the present application further provides an open circuit voltage prediction device for a lithium iron phosphate battery, comprising a processor and a memory; The processor is connected to the memory; A memory for storing executable program codes; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the open circuit voltage prediction method for a lithium iron phosphate battery provided by the first aspect of the embodiment of the present application or any one of the implementation methods of the first aspect.

[0013] In a fourth aspect, an embodiment of the present application provides a computer storage medium, which stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, the open circuit voltage prediction method for a lithium iron phosphate battery provided by the first aspect of the embodiment of the present application or any one of the implementation methods of the first aspect can be implemented.

[0014] Beneficial effects of this application: When predicting the open circuit voltage of a lithium iron phosphate battery, the initial parameter set can be divided into at least two first parameter sets, and all first open circuit voltages of the battery to be tested under each first parameter set are obtained; a second parameter set is determined according to each first parameter set, and all second open circuit voltages of the battery to be tested under the corresponding second parameter set are predicted based on all corresponding first open circuit voltages; at least two third parameter sets are determined according to all second parameter sets, and the target open circuit voltage of the battery to be tested is predicted based on all second open circuit voltages and all third parameter sets. Multiple first parameter sets are divided by an initial parameter set containing a small number of test parameters to obtain the corresponding first open circuit voltage in combination with a battery test cabinet; then, a second parameter set and a third parameter set containing some test parameters can be defined in turn according to all first parameter sets, and all first open circuit voltages can be processed in combination with a semi-empirical model to predict the target open circuit voltage under full temperature and full capacity, which not only effectively shortens the test time and saves experimental costs, but also ensures the prediction efficiency and accuracy of the open circuit voltage of the lithium iron phosphate battery under full temperature and full capacity. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 An overall flow chart of an open circuit voltage prediction method for a lithium iron phosphate battery provided in an embodiment of the present application; Figure 2 A data schematic diagram of all first open circuit voltages provided in an embodiment of the present application; Figure 3 A data schematic diagram of all second open-circuit voltages provided in an embodiment of the present application; Figure 4 A data schematic diagram of a target open circuit voltage provided in an embodiment of the present application; Figure 5 A data schematic diagram of all second open-circuit voltages provided in another embodiment of the present application; Figure 6 A data schematic diagram of another target open circuit voltage provided in an embodiment of the present application; Figure 7 A schematic diagram of the structure of an open circuit voltage prediction device for a lithium iron phosphate battery provided in an embodiment of the present application; Figure 8 A schematic structural diagram of another open circuit voltage prediction device for a lithium iron phosphate battery provided in an embodiment of the present application. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0018] In the following introduction, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance. The following introduction provides multiple embodiments of the present application, and different embodiments can be replaced or combined, so the present application can also be considered to include all possible combinations of the same and / or different embodiments recorded. Therefore, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then the present application should also be considered to include embodiments containing one or more of all other possible combinations of A, B, C, and D, although the embodiment may not be clearly recorded in the following text.

[0019] The following description provides examples and does not limit the scope, applicability or examples set forth in the claims. Changes may be made to the functions and arrangements of the elements described without departing from the scope of the present application. Various processes or components may be appropriately omitted, substituted or added to each example. For example, the described method may be performed in an order different from the order described, and various steps may be added, omitted or combined. In addition, features described in some examples may be combined in other examples.

[0020] See also Figure 1 , Figure 1 An overall flow chart of an open circuit voltage prediction method for a lithium iron phosphate battery provided in an embodiment of the present application is shown.

[0021] like Figure 1 As shown, the open circuit voltage prediction method for lithium iron phosphate battery may include at least the following steps: Step 102: Divide the initial parameter set into at least two first parameter sets, and obtain all first open circuit voltages of the battery to be tested under each first parameter set.

[0022] In an embodiment of the present application, the open circuit voltage prediction method for lithium iron phosphate batteries can be, but is not limited to, a test terminal, which can establish a connection with a battery test cabinet, so that after the staff sets the battery to be tested in the battery test cabinet, the open circuit voltage of the battery to be tested under some test parameters is obtained through the battery test cabinet, and the open circuit voltage of the battery to be tested under full temperature and full capacity is predicted based on the partial test parameters and all corresponding open circuit voltages. Here, the type of battery to be tested can be, but is not limited to, a lithium iron phosphate battery, including structures such as a graphite negative electrode, a lithium iron phosphate positive electrode, a diaphragm, and a liquid electrolyte, to ensure the accuracy of the open circuit voltage collected by the battery test cabinet.

[0023] Among them, the battery testing cabinet can be used to collect open circuit voltage-time data of the battery to be tested under any multiple sets of test parameters when it is in an open circuit and stationary for a period of time. Each set of arbitrary test parameters may include any capacitance parameter within a preset capacitance parameter range, such as but not limited to any capacitance parameter of 100%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, 10% or 0% within the range of 0%-100%, and also includes any temperature parameter within a preset temperature parameter range, such as but not limited to any temperature parameter of 55°C, 45°C, 25°C, 10°C, 0°C, -10°C, -20°C or -30°C within the range of -30°C-55°C, and is not limited to this. Here, a set of test parameters including a capacitance parameter of 70% and a temperature parameter of 25°C is taken as an example. The battery test cabinet can control the ambient temperature of the circuit where the battery to be tested is located to be maintained at 25°C, and then charge the capacity of the battery to be tested to 70% through constant current and constant voltage, and make the circuit where the battery to be tested is in an open circuit state, so as to collect the open circuit voltage-time data of the battery to be tested during the 4-hour static state.

[0024] It should be noted that the test terminal can take multiple sets of test parameters including some capacity parameters and some temperature parameters as the initial parameter set and send them to the battery test cabinet, so that the battery test cabinet can collect the open circuit voltage of the battery to be tested in the corresponding state according to each set of test parameters in the initial parameter set.

[0025] It can be understood that the test terminal divides multiple first parameter sets through an initial parameter set including a small number of test parameters, in order to obtain the corresponding first open circuit voltage in combination with the battery test cabinet; then, the second parameter set and the third parameter set including some test parameters can be defined in turn according to all the first parameter sets, and all the first open circuit voltages are processed in combination with the semi-empirical model to predict the open circuit voltage at full temperature and full capacity, which not only effectively shortens the test time and saves experimental costs, but also ensures the prediction efficiency and accuracy of the open circuit voltage of the lithium iron phosphate battery at full temperature and full capacity.

[0026] Specifically, when predicting the open circuit voltage of the lithium iron phosphate battery, the test terminal can, but is not limited to, after the staff sets the battery to be tested in the battery test cabinet, use the preset multiple groups of initial test parameters as the initial parameter set, and divide the initial parameter set to obtain multiple first parameter sets, each of which may include at least three groups of initial test parameters (i.e., first test parameters), each of which may include at least an initial capacitance parameter (but not limited to any one of 100%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, 10% or 0% in the range of 0%-100%) and an initial temperature parameter (for example, but not limited to any one of 55°C, 45°C, 25°C, 10°C, 0°C, -10°C, -20°C or -30°C in the range of -30°C-55°C), and all the initial test parameters included in each first parameter set include the same initial temperature parameter, or the same initial capacitance parameter. Here, taking a certain group of first parameter sets including four groups of first test parameters as an example, the four groups of first test parameters may respectively include an initial temperature parameter of 25°C and an initial capacitance parameter of 100%, an initial temperature parameter of 25°C and an initial capacitance parameter of 70%, an initial temperature parameter of 25°C and an initial capacitance parameter of 10%, and an initial temperature parameter of 25°C and an initial capacitance parameter of 0%; or, taking a certain group of first parameter sets including three groups of first test parameters as an example, the three groups of first test parameters may respectively include an initial capacitance parameter of 70% and an initial temperature parameter of 45°C, an initial capacitance parameter of 70% and an initial temperature parameter of 25°C, an initial capacitance parameter of 70% and an initial temperature parameter of 0°C, and are not limited thereto.

[0027] Furthermore, after dividing into multiple first parameter sets, the test terminal may send each first parameter set to the battery test cabinet in turn, so that the battery test cabinet collects the short-circuit voltage-time data of the battery to be tested according to each first test parameter included in each first parameter set, and can use the short-circuit voltage corresponding to the specified standing time (for example but not limited to 4 hours) as the corresponding first open-circuit voltage.

[0028] As an option of the embodiment of the present application, each group of first test parameters includes a first initial parameter and a second initial parameter; The initial parameter set is divided into at least two first parameter sets, including: At least two first initial parameters in the initial parameter set are determined, and the initial parameter set is divided based on each first initial parameter to obtain a corresponding first parameter set; wherein the first initial parameters of all first test parameters in each first parameter set are consistent.

[0029] Specifically, each set of first test parameters includes a first initial parameter and a second initial parameter, and the first initial parameter and the second initial parameter can be respectively expressed as an initial temperature parameter and an initial capacitance parameter, or the first initial parameter and the second initial parameter can also be respectively expressed as an initial capacitance parameter and an initial temperature parameter.

[0030] Here, taking the first initial parameter and the second initial parameter as an initial temperature parameter and an initial capacitance parameter, respectively, as an example, when the initial parameter set is divided into multiple first parameter sets, the test terminal can determine all the initial temperature parameters contained in the initial parameter set, and divide the initial parameter set according to each initial temperature parameter to ensure that all the first test parameters in each divided first parameter set include the same initial temperature parameter. For example, when all the initial temperature parameters include 45°C, 25°C, and 0°C, three first parameter sets can be divided, and all the first test parameters in each first parameter set can include an initial temperature parameter of 45°C, an initial temperature parameter of 25°C, or an initial temperature parameter of 0°C.

[0031] Here, the first initial parameter and the second initial parameter can be respectively expressed as an initial capacitance parameter and an initial temperature parameter. When the initial parameter set is divided into multiple first parameter sets, the test terminal can determine all the initial capacitance parameters contained in the initial parameter set, and divide the initial parameter set according to each initial capacitance parameter to ensure that all the first test parameters in each divided first parameter set include the same initial capacitance parameter. For example, when all the initial capacitance parameters include 100%, 70%, 10% and 0%, four first parameter sets can be divided, and all the first test parameters in each first parameter set can include an initial capacitance parameter of 100%, an initial capacitance parameter of 70%, an initial capacitance parameter of 10% or an initial capacitance parameter of 0%.

[0032] Step 104: determine a second parameter set according to each first parameter set, and predict all second open circuit voltages of the battery to be tested under the corresponding second parameter set based on all corresponding first open circuit voltages.

[0033] Specifically, after obtaining all the first open-circuit voltages of each first parameter set collected by the battery test cabinet, the test terminal may, but is not limited to, determine the corresponding second parameter set according to the first initial parameter in each first parameter set, and the second parameter set may include all the first test parameters in the corresponding first parameter set, and at least one group of second test parameters, and each group of second test parameters includes the first initial parameter and different first target parameters. Here, taking the first initial parameter as the initial temperature parameter as an example, the second parameter set may include all the first test parameters in the corresponding first parameter set (each first test parameter includes an initial temperature parameter, but the included initial capacitance parameters are different), and at least one group of second test parameters, each group of second test parameters includes an initial temperature parameter and a first target parameter (that is, a capacitance parameter), and the first target parameter included in each group of second test parameters and the initial capacitance parameter included in each corresponding group of first test parameters are different, so as to ensure that all the first target parameters and all the initial capacitance parameters can be all capacitance parameters within a preset capacitance parameter range.

[0034] Here, taking the first initial parameter as the initial capacitance parameter as an example, the second parameter set may include all first test parameters in the corresponding first parameter set (each first test parameter includes an initial capacitance parameter, but the included initial temperature parameters are different), and at least one group of second test parameters, each group of second test parameters includes an initial capacitance parameter and a first target parameter (that is, a temperature parameter), and the first target parameter included in each group of second test parameters and the initial temperature parameter included in each corresponding group of first test parameters are different, so as to ensure that all first target parameters and all initial temperature parameters can be all temperature parameters within a preset temperature parameter range.

[0035] Furthermore, after determining all the second parameter sets, the test terminal can also input all the second initial parameters in each first parameter set and the first open-circuit voltage corresponding to each second initial parameter into the semi-empirical model expression (that is, the voltage relationship equation containing the parameters to be solved), and obtain the parameters to be solved in the semi-empirical model expression through linear fitting solution, thereby constructing the first voltage relationship equation.

[0036] Here, the first initial parameter is the initial temperature parameter, and the second initial parameter is the initial capacitance parameter as an example. The semi-empirical model expression can be, but is not limited to, as follows: OCV=A+B*ln(SOC)+C*ln(100-SOC) In the above formula, OCV is understood as the first open circuit voltage, SOC is understood as the second initial parameter corresponding to the first open circuit voltage (that is, the initial capacitance parameter), and A, B, and C are understood as the parameters to be solved in the semi-empirical model expression.

[0037] Here, the first initial parameter can be taken as the initial capacitance parameter, and the second initial parameter can be taken as the initial temperature parameter. The semi-empirical model expression can be, but is not limited to, as follows: OCV=A+B*T In the above formula, OCV is understood as the first open circuit voltage, T is understood as the second initial parameter (that is, the initial temperature parameter) corresponding to the first open circuit voltage, and A and B are understood as parameters to be solved in the semi-empirical model expression.

[0038] Furthermore, after constructing the first voltage relationship, the test terminal can also input each first target parameter and each second initial parameter in the corresponding second parameter set into the first voltage relationship to calculate all second open circuit voltages of the battery to be tested under the corresponding second parameter set. Here, taking the first initial parameter as the initial temperature parameter and the second initial parameter as the initial capacitance parameter as an example, all second open circuit voltages of the battery to be tested under each second parameter set can be understood as all open circuit voltages corresponding to all capacitance parameters within a preset capacitance parameter range under any initial temperature parameter.

[0039] Here, the first initial parameter can be taken as the initial capacitance parameter and the second initial parameter is the initial temperature parameter as an example. All second open circuit voltages of the battery to be tested under each second parameter set can be understood as all open circuit voltages corresponding to all temperature parameters within a preset temperature parameter range under any initial capacitance parameter.

[0040] Step 106: Determine at least two third parameter sets according to all the second parameter sets, and predict the target open circuit voltage of the battery to be tested based on all the second open circuit voltages and all the third parameter sets.

[0041] Specifically, after predicting all the second open circuit voltages of the battery to be tested under each second parameter set, the test terminal may, but is not limited to, count all the first target parameters and all the second initial parameters in all the second parameter sets, and determine the corresponding third parameter set according to each first target parameter and each second initial parameter. It is understandable that at least one of the third parameter sets includes a group of first test parameters in each second parameter set (each group of first test parameters includes the same second initial parameter), and at least one group of third test parameters, and each group of third test parameters includes the second initial parameter and different second target parameters; in addition, at least one of the third parameter sets includes a group of second test parameters in each second parameter set (each group of second test parameters includes the same first target parameter), and at least one group of fourth test parameters, and each group of fourth test parameters includes the first target parameter and different third target parameters.

[0042] Here, taking the first initial parameter as the initial temperature parameter and the second initial parameter as the initial capacitance parameter as an example, at least one of all the third parameter sets may include a group of second test parameters in each second parameter set (each group of second test parameters includes the same second initial parameter, that is, the same capacitance parameter), and at least one group of third test parameters, each group of third test parameters includes the second initial parameter (and the same capacitance parameter) and different second target parameters (that is, different temperature parameters), and the second target parameter included in each group of third test parameters and the second initial parameter included in each corresponding group of second test parameters are different, so as to ensure that all second target parameters and all second initial parameters can be preset temperature parameters. all temperature parameters within the temperature parameter range; in addition, at least one of all third parameter sets may also include a group of second test parameters in each second parameter set (each group of second test parameters includes the same first target parameter, that is, the same capacitance parameter), and at least one group of fourth test parameters, each group of fourth test parameters includes the first target parameter (and the same capacitance parameter) and different third target parameters (that is, different temperature parameters), and the third target parameter included in each group of fourth test parameters and the first target parameter included in each corresponding group of second test parameters are different, so as to ensure that all third target parameters and all first target parameters can be all temperature parameters within the preset temperature parameter range.

[0043] Here, the first initial parameter can be taken as an initial capacitance parameter, and the second initial parameter is an initial temperature parameter as an example. At least one of all third parameter sets may include a group of second test parameters in each second parameter set (each group of second test parameters includes the same second initial parameter, that is, the same temperature parameter), and at least one group of third test parameters, each group of third test parameters includes the second initial parameter (and the same temperature parameter) and different second target parameters (that is, different capacitance parameters), and the second target parameter included in each group of third test parameters and the second initial parameter included in each corresponding group of second test parameters are different, so as to ensure that all second target parameters and all second initial parameters can be preset capacitances. all capacitance parameters within the capacitance parameter range; in addition, at least one of all third parameter sets may also include a group of second test parameters in each second parameter set (each group of second test parameters includes the same first target parameter, that is, the same temperature parameter), and at least one group of fourth test parameters, each group of fourth test parameters includes the first target parameter (that is, the same temperature parameter) and different third target parameters (that is, different capacitance parameters), and the third target parameter included in each group of fourth test parameters and the first target parameter included in each corresponding group of second test parameters are different, so as to ensure that all third target parameters and all first target parameters can be all capacitance parameters within the preset capacitance parameter range.

[0044] Furthermore, after determining all the third parameter sets, the test terminal can also filter out all the corresponding first initial parameters in all the third parameter sets according to each second initial parameter, and input all the first initial parameters and all the corresponding second open-circuit voltages into the semi-empirical model expression (that is, the voltage relationship equation containing the parameters to be solved), and obtain the parameters to be solved in the semi-empirical model expression through linear fitting solution, and then construct the second voltage relationship equation.

[0045] Here, taking the first initial parameter as the initial temperature parameter and the second initial parameter as the initial capacitance parameter as an example, the semi-empirical model expression for constructing the second voltage relationship may be, but is not limited to, referred to as follows: OCV=A+B*T In the above formula, OCV is understood as the second open circuit voltage, T is understood as the first initial parameter corresponding to the second open circuit voltage, and A and B are understood as parameters to be solved in the semi-empirical model expression.

[0046] Here, the first initial parameter may be an initial capacitance parameter, and the second initial parameter may be an initial temperature parameter. For example, the semi-empirical model expression for constructing the second voltage relationship may be, but is not limited to, as follows: OCV=A+B*ln(SOC)+C*ln(100-SOC) In the above formula, OCV is understood as the second open circuit voltage, SOC is understood as the first initial parameter corresponding to the second open circuit voltage, and A, B and C are understood as parameters to be solved in the semi-empirical model expression.

[0047] Furthermore, after constructing the second voltage relationship equation, the test terminal can also input all the first initial parameters and all the second target parameters corresponding to the corresponding second initial parameters in all third parameter sets into the second voltage relationship equation, respectively, to calculate the third open circuit voltage of the battery to be tested under the corresponding second initial parameters and any one of the first initial parameters, and the third open circuit voltage under the corresponding second initial parameters and any one of the second target parameters.

[0048] In addition, after determining all the third parameter sets, the test terminal can also filter out all the corresponding first initial parameters in all the third parameter sets according to each first target parameter, and input all the first initial parameters and all the corresponding second open-circuit voltages into the semi-empirical model expression (that is, the voltage relationship equation containing the parameters to be solved), and obtain the parameters to be solved in the semi-empirical model expression through linear fitting solution, and then construct the third voltage relationship equation.

[0049] Here, taking the first initial parameter as the initial temperature parameter and the second initial parameter as the initial capacitance parameter as an example, the semi-empirical model expression for constructing the third voltage relationship may be, but is not limited to, referred to as follows: OCV=A+B*T In the above formula, OCV is understood as the second open circuit voltage, T is understood as the first initial parameter corresponding to the second open circuit voltage, and A and B are understood as parameters to be solved in the semi-empirical model expression.

[0050] Here, the first initial parameter may be an initial capacitance parameter, and the second initial parameter may be an initial temperature parameter. For example, the semi-empirical model expression for constructing the third voltage relationship may be, but is not limited to, as follows: OCV=A+B*ln(SOC)+C*ln(100-SOC) In the above formula, OCV is understood as the second open circuit voltage, SOC is understood as the first initial parameter corresponding to the second open circuit voltage, and A, B and C are understood as parameters to be solved in the semi-empirical model expression.

[0051] Furthermore, after constructing the third voltage relationship equation, the test terminal can also input all first initial parameters and all third target parameters corresponding to the corresponding first target parameter in all third parameter sets into the third voltage relationship equation, respectively, to calculate the fourth open circuit voltage of the battery to be tested under the corresponding first target parameter and any one of the first initial parameters, and the fourth open circuit voltage under the corresponding first target parameter and any one of the third target parameters.

[0052] Furthermore, the test terminal can integrate all third open circuit voltages, the test parameters corresponding to each third open circuit voltage, all fourth open circuit voltages and the test parameters corresponding to each fourth open circuit voltage, and finally obtain the target circuit voltage of the battery to be tested under full temperature parameters and full capacity parameters.

[0053] As another option of the embodiment of the present application, after predicting the target open circuit voltage of the battery to be tested based on all the second open circuit voltages and all the third parameter sets, the method further includes: Based on all first open-circuit voltages corresponding to all first parameter sets, a voltage variation trend is obtained, and according to the voltage variation trend, it is determined whether the target open-circuit voltage has at least one abnormal open-circuit voltage; When it is determined that there is at least one abnormal open circuit voltage in the target open circuit voltage, correction processing is performed on all the abnormal open circuit voltages.

[0054] Specifically, in order to ensure the accuracy of the target open circuit voltage, after predicting the target circuit voltage of the battery to be tested under all temperature parameters and all capacitance parameters, the test terminal can also obtain the voltage change trend based on all first open circuit voltages corresponding to all first parameter sets. For example, taking the first initial parameter as the initial temperature parameter and the second initial parameter as the initial capacitance parameter as an example, the voltage change trend can be understood as a voltage change trend (for example, gradually increasing) as the capacitance parameter gradually increases under each temperature parameter, or a voltage change trend (for example, gradually increasing) as the temperature parameter gradually increases under each capacitance parameter, and is not limited to this.

[0055] Then, after obtaining the voltage variation trend, the test terminal can also determine whether there is at least one abnormal open circuit voltage in the target open circuit voltage that does not conform to the voltage variation trend, so as to correct the corresponding abnormal open circuit voltage after determining that there is at least one abnormal open circuit voltage. Here, the correction processing method can be, but is not limited to, determining two normal open circuit voltages adjacent to each abnormal open circuit voltage in the target open circuit voltage, performing a difference calculation on the two normal open circuit voltages, and then calculating a corrected open circuit voltage based on the difference result and any one of the normal open circuit voltages, so that the difference between the corrected open circuit voltage and any one of the normal open circuit voltages is half of the difference result, and replacing the corresponding abnormal open circuit voltage with the corrected open circuit voltage.

[0056] Here, the first initial parameter can be an initial temperature parameter, and the second initial parameter can be an initial capacitance parameter. Figure 2 A data schematic diagram of all first open circuit voltages provided in an embodiment of the present application is shown, Figure 3 A schematic diagram of data of all second open circuit voltages provided in an embodiment of the present application is shown, and Figure 4 The data schematic diagram of a target open circuit voltage provided by an embodiment of the present application is shown. Figure 2 Three first parameter sets are shown, which can be divided into, for example, a first parameter set including a temperature parameter of 0° C., a first parameter set including a temperature parameter of 25° C., and a first parameter set including a temperature parameter of 45° C., and each first parameter set includes four first test parameters.

[0057] Figure 3 Three second parameter sets are shown, each of which includes four first test parameters and eight second test parameters. For example, taking the second parameter set including the temperature parameter 0° C. as an example, the constructed first voltage relationship can be referred to as follows: OCV=3.17101+0.03405*ln(SOC)-0.00222*ln(100-SOC) For another example, taking the second parameter set including the temperature parameter 25° C. as an example, the constructed first voltage relationship can be referred to as follows: OCV=3.1654+0.03585*ln(SOC)-0.00219*ln(100-SOC) For another example, taking the second parameter set including the temperature parameter 45° C. as an example, the constructed first voltage relationship can be referred to as follows: OCV=3.15905+0.03783*ln(SOC)-0.00222*ln(100-SOC) pass Figure 3 All the test parameters and all the second open circuit voltages in the embodiment can also derive the relationship between different temperature parameters and the open circuit voltage under all capacitance parameters, for example, as follows: Figure 4The target open circuit voltage of the battery to be tested under full temperature parameters and full capacity parameters is shown, 4a shows the target open circuit voltage without correction processing, according to the voltage change trend (under the same temperature parameters, the open circuit voltage gradually increases with the increase of the capacity parameter), it can be determined that the open circuit voltage corresponding to 90% of the capacity parameter and each temperature parameter is an abnormal open circuit voltage, and the open circuit voltage corresponding to 80% of the capacity parameter and each temperature parameter is an abnormal open circuit voltage; 4b shows the target open circuit voltage after correction processing, the open circuit voltage corresponding to 90% of the capacity parameter and each temperature parameter is corrected, and the open circuit voltage corresponding to 80% of the capacity parameter and each temperature parameter is corrected.

[0058] Here, the first initial parameter can be an initial capacitance parameter, and the second initial parameter can be an initial temperature parameter. Figure 2 A data schematic diagram of all first open circuit voltages provided in an embodiment of the present application is shown, Figure 5 A schematic diagram showing data of all second open circuit voltages provided in another embodiment of the present application is shown, and Figure 6 A data schematic diagram of another target open circuit voltage provided by an embodiment of the present application is shown. Figure 2 Four first parameter sets are shown, which can be divided into, for example, a first parameter set including 100% of the capacitance parameter, a first parameter set including 70% of the capacitance parameter, a first parameter set including 10% of the capacitance parameter, and a first parameter set including 0% of the capacitance parameter, and each first parameter set includes three first test parameters.

[0059] Figure 5 Four second parameter sets are shown, each of which includes three first test parameters and five second initial parameters. For example, taking the second parameter set including 100% of the capacitance parameter as an example, the constructed first voltage relationship can be referred to as follows: OCV=0.0001T+3.3357 For another example, taking the second parameter set including 70% of the capacitance parameter as an example, the constructed first voltage relationship can be referred to as follows: OCV=0.0001T+3.3272 For another example, taking the second parameter set including 10% of the capacitance parameter as an example, the constructed first voltage relationship can be referred to as follows: OCV=-0.00008T+3.2181 For another example, taking the second parameter set including the capacitance parameter 0% as an example, the constructed first voltage relationship can be referred to as follows: OCV=-0.0006T+3.0094 pass Figure 5All the test parameters and all the second open circuit voltages in the embodiment can also be used to derive the relationship between different capacitance parameters and the open circuit voltage under all temperature parameters, for example, as follows: Figure 6 The target open circuit voltage of the battery to be tested under full temperature parameters and full capacity parameters is shown, 6a shows the target open circuit voltage without correction processing, according to the voltage change trend (under the same temperature parameters, the open circuit voltage gradually increases with the increase of the capacity parameter), it can be determined that the open circuit voltage corresponding to 90% of the capacity parameter and each temperature parameter is an abnormal open circuit voltage, and the open circuit voltage corresponding to 80% of the capacity parameter and each temperature parameter is an abnormal open circuit voltage; 6b shows the target open circuit voltage after correction processing, the open circuit voltage corresponding to 90% of the capacity parameter and each temperature parameter is corrected, and the open circuit voltage corresponding to 80% of the capacity parameter and each temperature parameter is corrected.

[0060] See also Figure 7 , Figure 7 A schematic diagram of the structure of an open circuit voltage prediction device for a lithium iron phosphate battery provided in an embodiment of the present application is shown. like Figure 7 As shown, the open circuit voltage prediction device for lithium iron phosphate battery may include at least a voltage acquisition module 701, a first prediction module 702 and a second prediction module 703, wherein: The voltage acquisition module 701 is used to divide the initial parameter set into at least two first parameter sets, and obtain all first open circuit voltages of the battery to be tested under each first parameter set; wherein each first parameter set includes at least three groups of first test parameters; A first prediction module 702 is used to determine a second parameter set according to each first parameter set, and predict all second open circuit voltages of the battery to be tested under the corresponding second parameter set based on all corresponding first open circuit voltages; wherein each second parameter set includes all first test parameters in the corresponding first parameter set and at least one group of second test parameters; The second prediction module 703 is used to determine at least two third parameter sets based on all the second parameter sets, and predict the target open circuit voltage of the battery to be tested based on all the second open circuit voltages and all the third parameter sets; wherein at least one third parameter set includes a set of first test parameters and at least one set of third test parameters in each second parameter set, and at least one third parameter set includes a set of second test parameters and at least one set of fourth test parameters in each second parameter set.

[0061] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented with the help of software and / or hardware. The "unit" and "module" in this specification refer to software and / or hardware that can independently complete or cooperate with other components to complete specific functions, where the hardware can be, for example, a field programmable gate array (FPGA), an integrated circuit (IC), etc.

[0062] See also Figure 8 , Figure 8 A schematic diagram of the structure of another open circuit voltage prediction device for a lithium iron phosphate battery provided in an embodiment of the present application is shown. like Figure 8 As shown, the open circuit voltage prediction device 800 for a lithium iron phosphate battery may include at least one processor 801 , at least one network interface 804 , a user interface 803 , a memory 805 , and at least one communication bus 802 .

[0063] The communication bus 802 may be used to realize the connection and communication among the above-mentioned components.

[0064] The user interface 803 may include buttons, and the optional user interface may also include a standard wired interface or a wireless interface.

[0065] The network interface 804 may include, but is not limited to, a Bluetooth module, an NFC module, a Wi-Fi module, etc.

[0066] Among them, the processor 801 may include one or more processing cores. The processor 801 uses various interfaces and lines to connect the various parts of the open circuit voltage prediction device 800 for lithium iron phosphate batteries, and executes various functions and processes data of the open circuit voltage prediction device 800 for lithium iron phosphate batteries by running or executing instructions, programs, code sets or instruction sets stored in the memory 805, and calling data stored in the memory 805. Optionally, the processor 801 can be implemented in at least one hardware form of DSP, FPGA, and PLA. The processor 801 can integrate one or a combination of CPU, GPU, modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 801, and it can be implemented by a single chip.

[0067] The memory 805 may include RAM or ROM. Optionally, the memory 805 includes a non-transitory computer-readable medium. The memory 805 may be used to store instructions, programs, codes, code sets or instruction sets. The memory 805 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area may store data involved in the above-mentioned method embodiments, etc. The memory 805 may optionally be at least one storage device located away from the aforementioned processor 801. As Figure 8 As shown, the memory 805 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an open circuit voltage prediction application for a lithium iron phosphate battery.

[0068] Specifically, the processor 801 may be used to call an open circuit voltage prediction application for a lithium iron phosphate battery stored in the memory 805, and specifically perform the following operations: Divide the initial parameter set into at least two first parameter sets, and obtain all first open circuit voltages of the battery to be tested under each first parameter set; wherein each first parameter set includes at least three groups of first test parameters; Determine a second parameter set according to each first parameter set, and predict all second open circuit voltages of the battery to be tested under the corresponding second parameter set based on all corresponding first open circuit voltages; wherein each second parameter set includes all first test parameters in the corresponding first parameter set and at least one group of second test parameters; At least two third parameter sets are determined based on all the second parameter sets, and the target open circuit voltage of the battery to be tested is predicted based on all the second open circuit voltages and all the third parameter sets; wherein at least one third parameter set includes a set of first test parameters and at least one set of third test parameters in each second parameter set, and at least one third parameter set includes a set of second test parameters and at least one set of fourth test parameters in each second parameter set.

[0069] In some possible embodiments, each set of first test parameters includes a first initial parameter and a second initial parameter; The initial parameter set is divided into at least two first parameter sets, including: At least two first initial parameters in the initial parameter set are determined, and the initial parameter set is divided based on each first initial parameter to obtain a corresponding first parameter set; wherein the first initial parameters of all first test parameters in each first parameter set are consistent.

[0070] In some possible embodiments, each set of second test parameters includes a first initial parameter in a corresponding first parameter set, and a first target parameter; Based on all corresponding first open circuit voltages, predicting all second open circuit voltages of the battery to be tested under the corresponding second parameter set includes: Constructing a first voltage relationship according to all second initial parameters in each first parameter set and a first open circuit voltage corresponding to each second initial parameter; Each first target parameter and each second initial parameter in the corresponding second parameter set are respectively input into the first voltage relationship equation to obtain all second open circuit voltages of the battery to be tested under the corresponding second parameter set.

[0071] In some possible embodiments, determining at least two third parameter sets according to all second parameter sets includes: All first target parameters and all second initial parameters in all second parameter sets are counted, and based on each first target parameter and each second initial parameter, a corresponding third parameter set is determined; wherein, all first test parameters and all third test parameters in at least one third parameter set include the same second initial parameter; and all second test parameters and all fourth test parameters in at least one third parameter set include the same first target parameter.

[0072] In some possible embodiments, each set of third test parameters includes the second initial parameter in the corresponding third parameter set, and the second target parameter; each set of fourth test parameters includes the first target parameter in the corresponding third parameter set, and the third target parameter; Based on all the second open circuit voltages and all the third parameter sets, a target open circuit voltage of the battery to be tested is predicted, including: Constructing a second voltage relationship according to all first initial parameters corresponding to each second initial parameter in all third parameter sets, and all corresponding second open-circuit voltages; Inputting all first initial parameters and all second target parameters corresponding to each second initial parameter in all third parameter sets into the second voltage relationship respectively to obtain a corresponding third open circuit voltage; Constructing a third voltage relationship according to all first initial parameters corresponding to each first target parameter in all third parameter sets, and all corresponding second open-circuit voltages; Inputting all first initial parameters and all third target parameters corresponding to each first target parameter in all third parameter sets into the third voltage relationship equation respectively to obtain a corresponding fourth open circuit voltage; All the third open-circuit voltages and all the fourth open-circuit voltages are used as target open-circuit voltages of the battery to be tested.

[0073] In some possible embodiments, after predicting the target open circuit voltage of the battery to be tested based on all the second open circuit voltages and all the third parameter sets, the method further includes: Based on all first open-circuit voltages corresponding to all first parameter sets, a voltage variation trend is obtained, and according to the voltage variation trend, it is determined whether the target open-circuit voltage has at least one abnormal open-circuit voltage; When it is determined that there is at least one abnormal open circuit voltage in the target open circuit voltage, correction processing is performed on all the abnormal open circuit voltages.

[0074] In some possible embodiments, the first initial parameter is an initial temperature parameter, and the second initial parameter is an initial capacitance parameter; or The first initial parameter is an initial capacitance parameter, and the second initial parameter is an initial temperature parameter.

[0075] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0076] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0077] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0078] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0079] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

Claims

1. A method for predicting the open circuit voltage of a lithium iron phosphate battery, characterized in that: include: Divide the initial parameter set into at least two first parameter sets, and obtain all first open circuit voltages of the battery to be tested under each of the first parameter sets; wherein each of the first parameter sets includes at least three groups of first test parameters; Determine a second parameter set according to each of the first parameter sets, and predict all second open circuit voltages of the battery to be tested under the corresponding second parameter set based on all the corresponding first open circuit voltages; wherein each of the second parameter sets includes all the first test parameters in the corresponding first parameter set, and at least one group of second test parameters; At least two third parameter sets are determined based on all the second parameter sets, and the target open circuit voltage of the battery to be tested is predicted based on all the second open circuit voltages and all the third parameter sets; wherein at least one of the third parameter sets includes a group of the first test parameters and at least one group of third test parameters in each of the second parameter sets, and at least one of the third parameter sets includes a group of the second test parameters and at least one group of fourth test parameters in each of the second parameter sets.

2. The method according to claim 1, characterized in that Each set of the first test parameters includes a first initial parameter and a second initial parameter; The dividing the initial parameter set into at least two first parameter sets comprises: At least two first initial parameters in an initial parameter set are determined, and the initial parameter set is divided based on each of the first initial parameters to obtain a corresponding first parameter set; wherein the first initial parameters of all the first test parameters in each of the first parameter sets are consistent.

3. The method according to claim 2, characterized in that Each group of the second test parameters includes the first initial parameters in the corresponding first parameter set and a first target parameter; The predicting, based on all corresponding first open circuit voltages, all second open circuit voltages of the battery to be tested under the corresponding second parameter set includes: constructing a first voltage relationship according to all the second initial parameters in each of the first parameter sets and the first open circuit voltage corresponding to each of the second initial parameters; Each of the first target parameters and each of the second initial parameters in the corresponding second parameter set are respectively input into the first voltage relationship equation to obtain all second open circuit voltages of the battery to be tested under the corresponding second parameter set.

4. The method according to claim 3, characterized in that The determining at least two third parameter sets according to all the second parameter sets includes: Count all the first target parameters and all the second initial parameters in all the second parameter sets, and determine the corresponding third parameter set based on each first target parameter and each second initial parameter; wherein, all the first test parameters and all the third test parameters in at least one of the third parameter sets include the same second initial parameter; and all the second test parameters and all the fourth test parameters in at least one of the third parameter sets include the same first target parameter.

5. The method according to claim 4, characterized in that Each group of the third test parameters includes the second initial parameters in the corresponding third parameter set and the second target parameters; each group of the fourth test parameters includes the first target parameters in the corresponding third parameter set and the third target parameters; The predicting the target open circuit voltage of the battery to be tested based on all the second open circuit voltages and all the third parameter sets includes: Constructing a second voltage relationship according to all the first initial parameters corresponding to each second initial parameter in all the third parameter sets, and all the corresponding second open-circuit voltages; Inputting all the first initial parameters and all the second target parameters corresponding to each of the second initial parameters in all the third parameter sets into the second voltage relationship respectively to obtain a corresponding third open circuit voltage; constructing a third voltage relationship according to all the first initial parameters corresponding to each of the first target parameters in all the third parameter sets, and all the corresponding second open-circuit voltages; Inputting all the first initial parameters and all the third target parameters corresponding to each of the first target parameters in all the third parameter sets into the third voltage relationship equation respectively to obtain a corresponding fourth open circuit voltage; All of the third open-circuit voltages and all of the fourth open-circuit voltages are used as target open-circuit voltages of the battery to be tested.

6. The method according to any one of claims 1 to 5, characterized in that: After predicting the target open circuit voltage of the battery to be tested based on all the second open circuit voltages and all the third parameter sets, the method further includes: Based on all first open-circuit voltages corresponding to all first parameter sets, a voltage variation trend is obtained, and according to the voltage variation trend, it is determined whether the target open-circuit voltage includes at least one abnormal open-circuit voltage; When it is determined that there is at least one abnormal open circuit voltage in the target open circuit voltage, correction processing is performed on all the abnormal open circuit voltages.

7. The method according to claim 2, characterized in that The first initial parameter is an initial temperature parameter, and the second initial parameter is an initial capacitance parameter; or The first initial parameter is an initial capacitance parameter, and the second initial parameter is an initial temperature parameter.

8. An open circuit voltage prediction device for lithium iron phosphate battery, characterized in that: include: A voltage acquisition module, used to divide the initial parameter set into at least two first parameter sets, and acquire all first open circuit voltages of the battery to be tested under each of the first parameter sets; wherein each of the first parameter sets includes at least three groups of first test parameters; A first prediction module, configured to determine a second parameter set according to each of the first parameter sets, and predict all second open circuit voltages of the battery to be tested under the corresponding second parameter set based on all the corresponding first open circuit voltages; wherein each of the second parameter sets includes all the first test parameters in the corresponding first parameter set, and at least one group of second test parameters; A second prediction module is used to determine at least two third parameter sets based on all the second parameter sets, and predict the target open circuit voltage of the battery to be tested based on all the second open circuit voltages and all the third parameter sets; wherein at least one of the third parameter sets includes a group of the first test parameters and at least one group of third test parameters in each of the second parameter sets, and at least one of the third parameter sets includes a group of the second test parameters and at least one group of fourth test parameters in each of the second parameter sets.

9. An open circuit voltage prediction device for lithium iron phosphate batteries, characterized in that: including a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed on a computer or a processor, the computer or the processor executes the steps of the method according to any one of claims 1 to 7.

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