Test apparatus and method for power prediction of battery management system

Abstract

This test device for power prediction includes: a database including a plurality of power mapping tables indicating power according to SOC and temperature; a test actuator that generates a plurality of power prediction conditions by combining the plurality of SOCs and the plurality of temperatures in a power mapping table of the battery device, provides each of the plurality of power prediction conditions and a power prediction instruction corresponding to each power prediction condition to the battery management system, receiving a plurality of power prediction values according to a plurality of power prediction conditions; and a test comparator that compares each of the plurality of power prediction values with a normal range defined by the plurality of reference power values in the power mapping table based on a power prediction condition corresponding to the respective power prediction value.

Description

TECHNICAL FIELD

[0001] CROSS REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to and the benefit of Korean Patent Application No. 10-2024-0015700, filed on February 1, 2024, in the Korean Intellectual Property Office, the disclosure of which is incorporated herein in its entirety by reference.

[0003] The present disclosure relates to an apparatus and method for performing a test of power prediction of a battery management system. BACKGROUND

[0004] A battery management system can store and execute a power prediction program to predict power of a battery device. After the power prediction program is installed in the battery management system, it is necessary to verify whether the power prediction program is operating normally. Such a power prediction verification test is performed by an operator. When the test is performed at a rate of 1% of a state of charge (SOC) in a range of 0 to 100% of the SOC at a rate of 5 degrees in a temperature of -10 degrees to 60 degrees, the operator must repeat the same operation 1500 times.

[0005] In this way, in the conventional power prediction verification test, the number of test operations is very large, and the time required for the test is long. In addition, since the test operation depends on the operator, the test result can differ for each operator, and the reliability of the test result is not high. SUMMARY

[0006] TECHNICAL PROBLEM

[0007] The present invention attempts to provide a test apparatus for power prediction and a test method capable of performing a power prediction test of a battery management system.

[0008] TECHNICAL SOLUTION

[0009] An exemplary embodiment of this disclosure provides a test apparatus for power prediction of a battery management system. The test apparatus may include: a database comprising multiple power mapping tables indicating power based on state of charge (SOC) and temperature; a test executor that generates multiple power prediction conditions using combinations of multiple SOCs and multiple temperatures in the power mapping tables of a battery device using the battery management system, provides each of the multiple power prediction conditions and a power prediction instruction corresponding to each power prediction condition to the battery management system, and receives multiple power prediction values ​​from the battery management system based on the multiple power prediction conditions; and a test comparator that compares each of the multiple power prediction values ​​with a normal range defined by multiple reference power values ​​in the power mapping tables based on the power prediction conditions corresponding to the respective power prediction values.

[0010] The test comparator can determine a first, second, third, and fourth power value in the power mapping table. The first power value corresponds to a second SOC (Solution Occurrence Occurrence) increasing by one unit from the first SOC corresponding to the power prediction condition and a first temperature corresponding to the power prediction condition. The second power value corresponds to a third SOC (Solution Occurrence ...

[0011] The power mapping table may include a long-term discharge power mapping table, a short-term discharge power mapping table, a long-term charge power mapping table, and a short-term charge power mapping table. The long-term discharge power may be the power generated when the battery device discharges from the current SOC to a predetermined first reference SOC during a predetermined first time period. The short-term discharge power may be the power generated when the battery device discharges from the current SOC to the first reference SOC during a second time period shorter than the first time period. The long-term charge power may be the power required for the battery device to charge from the current SOC to a predetermined second reference SOC during a predetermined third time period. The short-term charge power may be the power required for the battery device to charge from the current SOC to the second reference SOC during a fourth time period shorter than the third time period.

[0012] The test executor can send multiple long-term discharge power prediction conditions and long-term discharge prediction instructions from the long-term discharge power mapping table to the battery management system, and receive multiple long-term discharge power prediction values ​​based on the multiple long-term discharge power prediction conditions from the battery management system. For each long-term discharge power prediction value in the long-term discharge power mapping table, the test comparator can determine: a first long-term discharge power value, which corresponds to a second SOC that increases by one unit SOC from the first SOC corresponding to the long-term discharge power prediction condition for each long-term discharge power prediction value, and a first temperature corresponding to the long-term discharge power prediction condition; a second long-term discharge power value, which corresponds to a third SOC that decreases by one unit SOC from the first SOC, and a first temperature; a third long-term discharge power value, which corresponds to the first SOC and a second temperature that increases by one unit temperature from the first temperature; and a fourth long-term discharge power value, which corresponds to the first SOC and a third temperature that decreases by one unit temperature from the first temperature. The test comparator can determine a normal range with an upper limit and a lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among the first to fourth long-term discharge power values, and the lower limit is obtained by subtracting the predetermined margin from the minimum value among the first to fourth long-term discharge power values. The test comparator determines a pass when each long-term discharge power prediction value is within the normal range and a failure when each long-term discharge power prediction value is outside the normal range.

[0013] The test executor can send multiple short-term discharge power prediction conditions and short-term discharge prediction instructions from the short-term discharge power mapping table to the battery management system, and receive multiple short-term discharge power prediction values ​​based on the multiple short-term discharge power prediction conditions from the battery management system. For each short-term discharge power prediction value in the multiple short-term discharge power prediction values ​​in the short-term discharge power mapping table, the test comparator can determine a first short-term discharge power value, a second short-term discharge power value, a third short-term discharge power value, and a fourth short-term discharge power value. The first short-term discharge power value corresponds to a second SOC that increases by one unit SOC from the first SOC corresponding to the short-term discharge power prediction condition for each short-term discharge power prediction value, and a first temperature corresponding to the short-term discharge power prediction condition. The second short-term discharge power value corresponds to a third SOC that decreases by one unit SOC from the first SOC, and a first temperature. The third short-term discharge power value corresponds to the first SOC and a second temperature that increases by one unit temperature from the first temperature. The fourth short-term discharge power value corresponds to the first SOC and a third temperature that decreases by one unit temperature from the first temperature. The test comparator can determine a normal range with an upper limit and a lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among the first to fourth short-term discharge power values, and the lower limit is obtained by subtracting the predetermined margin from the minimum value among the first to fourth short-term discharge power values. The test comparator determines a pass when each short-term discharge power prediction value is within the normal range and a failure when each short-term discharge power prediction value is outside the normal range.

[0014] The test executor can send multiple long-term charging power prediction conditions and long-term charging prediction instructions from the long-term charging power mapping table to the battery management system, and receive multiple long-term charging power prediction values ​​based on the multiple long-term charging power prediction conditions from the battery management system. For each of the multiple long-term charging power prediction values ​​in the long-term charging power mapping table, the test comparator can determine a first long-term charging power value, a second long-term charging power value, a third long-term charging power value, and a fourth long-term charging power value. The first long-term charging power value corresponds to a second SOC that increases by one unit SOC from the first SOC corresponding to the long-term charging power prediction condition for each long-term charging power prediction value, and a first temperature corresponding to the long-term charging power prediction condition. The second long-term charging power value corresponds to a third SOC that decreases by one unit SOC from the first SOC and the first temperature. The third long-term charging power value corresponds to the first SOC and a second temperature that increases by one unit temperature from the first temperature. The fourth long-term charging power value corresponds to the first SOC and a third temperature that decreases by one unit temperature from the first temperature. The test comparator can determine a normal range with an upper limit and a lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among the first to fourth long-term charge power values, and the lower limit is obtained by subtracting the predetermined margin from the minimum value among the first to fourth long-term charge power values. The test comparator determines a pass when each long-term charge power prediction is within the normal range and a failure when each long-term charge power prediction is outside the normal range.

[0015] The test executor can send multiple short-term charging power prediction conditions and short-term charging prediction instructions from the short-term charging power mapping table to the battery management system, and receive multiple short-term charging power prediction values ​​based on the multiple short-term charging power prediction conditions from the battery management system. For each of the multiple short-term charging power prediction values ​​in the short-term charging power mapping table, the test comparator can determine a first short-term charging power value, a second short-term charging power value, a third short-term charging power value, and a fourth short-term charging power value. The first short-term charging power value corresponds to a second SOC that increases by one unit SOC from the first SOC corresponding to the short-term charging power prediction condition for each short-term charging power prediction value, and a first temperature corresponding to the short-term charging power prediction condition. The second short-term charging power value corresponds to a third SOC that decreases by one unit SOC from the first SOC and the first temperature. The third short-term charging power value corresponds to the first SOC and a second temperature that increases by one unit temperature from the first temperature. The fourth short-term charging power value corresponds to the first SOC and a third temperature that decreases by one unit temperature from the first temperature. The test comparator can determine a normal range with an upper limit and a lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among the first long-term charge power values ​​to the fourth long-term charge power values. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first long-term charge power values ​​to the fourth long-term charge power values. The test comparator determines a pass when each short-term charge power prediction value is within the normal range and a failure when each short-term discharge power prediction value is outside the normal range.

[0016] The test comparator can generate multiple discharge power differences between a long-term discharge power map and a short-term discharge power map, and compare the predicted discharge power difference with a normal range to determine pass and fail. This predicted discharge power difference is the difference between the long-term and short-term predicted discharge power values ​​under conditions of a first SOC and a first temperature provided by the battery management system. The test comparator can also determine the normal range using multiple reference discharge power differences based on the conditions of the first SOC and the first temperature.

[0017] The test comparator can determine a first discharge power difference, a second discharge power difference, a third discharge power difference, and a fourth discharge power difference. The first discharge power difference corresponds to a second SOC (Solution Oxide Current) increasing by one unit SOC and a first temperature. The second discharge power difference corresponds to a third SOC decreasing by one unit SOC and a first temperature. The third discharge power difference corresponds to the first SOC and a second temperature increasing by one unit temperature from the first temperature. The fourth discharge power difference corresponds to the first SOC and a third temperature decreasing by one unit temperature from the first temperature. The test comparator can determine a normal range with an upper limit and a lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among the first to fourth discharge power differences. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first to fourth discharge power differences.

[0018] The test comparator can generate multiple charging power differences between a long-term charging power map and a short-term charging power map, and compare the predicted charging power difference with a normal range to determine pass and fail. This predicted charging power difference is the difference between the long-term and short-term predicted charging power values ​​under conditions of a first SOC and a first temperature provided by the battery management system. The test comparator can also use multiple reference charging power differences based on the first SOC and first temperature conditions to determine the normal range.

[0019] The test comparator can determine a first charging power difference, a second charging power difference, a third charging power difference, and a fourth charging power difference. The first charging power difference corresponds to a second SOC (a unit increase in SOC) and a first temperature, the second charging power difference corresponds to a third SOC (a unit decrease in SOC) and a first temperature, the third charging power difference corresponds to the first SOC and a second temperature (a unit increase in temperature), and the fourth charging power difference corresponds to the first SOC and a third temperature (a unit decrease in temperature). The test comparator can also determine a normal range with an upper and lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among the first to fourth charging power differences, and the lower limit is obtained by subtracting the predetermined margin from the minimum value among the first to fourth charging power differences.

[0020] Another exemplary embodiment of this disclosure provides a test method for power prediction in a battery management system. The test method may include: generating multiple power prediction conditions using a combination of multiple State of Charge (SOC) and multiple temperatures in a power mapping table; providing each of the multiple power prediction conditions and a corresponding power prediction instruction to the battery management system; receiving multiple power prediction values ​​from the battery management system based on the multiple power prediction conditions; and comparing each of the multiple power prediction values ​​with a normal range defined by multiple reference power values ​​in the power mapping table, based on the power prediction conditions corresponding to the respective power prediction values.

[0021] The power prediction testing method may further include: determining a first power value, a second power value, a third power value, and a fourth power value in a power mapping table, wherein the first power value corresponds to a second SOC (Solution Occurrence) increasing by one unit SOC from a first SOC corresponding to the power prediction condition and a first temperature corresponding to the power prediction condition; the second power value corresponds to a third SOC decreasing by one unit SOC from the first SOC and the first temperature; the third power value corresponds to the first SOC and a second temperature increasing by one unit temperature from the first temperature; and the fourth power value corresponds to the first SOC and a third temperature decreasing by one unit temperature from the first temperature. The power prediction testing method may further include determining a normal range having an upper limit and a lower limit, wherein the upper limit is obtained by adding a predetermined margin to the maximum value among the first to fourth power values, and the lower limit is obtained by subtracting the predetermined margin from the minimum value among the first to fourth power values.

[0022] The power mapping table may include a long-term discharge power mapping table, a short-term discharge power mapping table, a long-term charge power mapping table, and a short-term charge power mapping table. The long-term discharge power may be the power generated when the battery device discharges from the current SOC to a predetermined first reference SOC during a predetermined first time period. The short-term discharge power may be the power generated when the battery device discharges from the current SOC to the first reference SOC during a second time period shorter than the first time period. The long-term charge power may be the power required for the battery device to charge from the current SOC to a predetermined second reference SOC during a predetermined third time period. The short-term discharge power may be the power required for the battery device to charge from the current SOC to the first reference SOC during a fourth time period shorter than the third time period.

[0023] The power prediction test method may further include: generating multiple discharge power differences between a long-term discharge power mapping table and a short-term discharge power mapping table; generating a predicted discharge power difference, which is the difference between a long-term discharge power prediction value and a short-term discharge power prediction value under conditions of a first SOC and a first temperature provided by the battery management system; determining a normal range using multiple reference discharge power differences based on conditions of the first SOC and the first temperature; and comparing the predicted discharge power difference with the normal range to determine pass and fail.

[0024] Determining the normal range may include determining a first discharge power difference, a second discharge power difference, a third discharge power difference, and a fourth discharge power difference. The first discharge power difference corresponds to a second SOC (SOC) increasing by one unit SOC and a first temperature. The second discharge power difference corresponds to a third SOC decreasing by one unit SOC and a first temperature. The third discharge power difference corresponds to the first SOC and a second temperature increasing by one unit temperature from the first temperature. The fourth discharge power difference corresponds to the first SOC and a third temperature decreasing by one unit temperature from the first temperature. Determining the normal range may include determining a normal range with an upper limit and a lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among the first to fourth discharge power differences. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first to fourth discharge power differences.

[0025] The power prediction test method may further include: generating multiple charging power differences between a long-term charging power mapping table and a short-term charging power mapping table; generating a predicted charging power difference, which is the difference between a long-term charging power prediction value and a short-term charging power prediction value under conditions of a first SOC and a first temperature provided by the battery management system; determining a normal range using multiple reference charging power differences based on conditions of the first SOC and the first temperature; and comparing the predicted charging power difference with the normal range to determine pass and fail.

[0026] Determining the normal range may include determining a first charging power difference, a second charging power difference, a third charging power difference, and a fourth charging power difference. The first charging power difference corresponds to a second SOC (a unit increase in SOC) and a first temperature, the second charging power difference corresponds to a third SOC (a unit decrease in SOC) and a first temperature, the third charging power difference corresponds to the first SOC and a second temperature (a unit increase in temperature), and the fourth charging power difference corresponds to the first SOC and a third temperature (a unit decrease in temperature). Determining the normal range may also include determining a normal range with an upper limit and a lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among the first to fourth charging power differences, and the lower limit is obtained by subtracting the predetermined margin from the minimum value among the first to fourth charging power differences.

[0027] Beneficial effects

[0028] According to exemplary embodiments of this disclosure, an apparatus and method for power prediction testing can be provided, which is capable of performing power prediction testing of a battery management system. Attached Figure Description

[0029] Figure 1 This is a diagram illustrating a power prediction test apparatus according to an exemplary embodiment.

[0030] Figure 2 This is a diagram illustrating a power mapping table of a battery device according to an exemplary embodiment.

[0031] Figure 3 This is a diagram illustrating a method for determining a normal range according to an exemplary embodiment.

[0032] Figure 4 This is a schematic diagram illustrating a memory region storing long-term discharge power prediction test results in memory according to an exemplary embodiment.

[0033] Figure 5 This is a diagram illustrating a discharge power difference meter and a charging power difference meter stored in a memory according to an exemplary embodiment.

[0034] Figure 6 This is a diagram illustrating a predicted discharge power difference table and a predicted charge power difference table stored in a memory according to an exemplary embodiment.

[0035] Figure 7 This is a diagram illustrating a method for determining a normal range according to an exemplary embodiment.

[0036] Figure 8 This is a flowchart illustrating a power prediction test method for testing power prediction in a battery management system according to an exemplary embodiment.

[0037] Figure 9 This is a flowchart illustrating a power prediction test method for testing discharge power prediction in a battery management system according to an exemplary embodiment.

[0038] Figure 10 This is a flowchart illustrating a power prediction test method for testing charging power prediction in a battery management system according to an exemplary embodiment. Detailed Implementation

[0039] In describing the exemplary embodiments disclosed in this disclosure, detailed descriptions of the relevant known technologies will be omitted if it is determined that such detailed descriptions would obscure the main points of the exemplary embodiments of this disclosure. Furthermore, the accompanying drawings are provided to aid in a readily understandable understanding of the exemplary embodiments disclosed in this specification, and the technical spirit disclosed in this specification is not limited to the drawings. It should be understood that this disclosure includes all modifications, equivalents, and substitutions included within the spirit and scope of this disclosure.

[0040] Ordinal terms (such as first and second) are used to describe various constituent elements, but constituent elements are not limited by these terms. These terms are only used to distinguish one constituent element from another.

[0041] It should be understood that when a component is described as being "connected to" or "accessed" to another component, the component may be directly connected to or accessed to the other component, or a third component may exist between the component and the other component. In contrast, when a component is described as being "directly connected to" or "directly accessed" to another component, it should be understood that no component exists between the component and the other component.

[0042] In this application, it should be understood that the terms "comprising" and "having" are intended to specify the presence of the features, quantities, steps, operations, constituent elements and components or combinations thereof described in the specification, and do not preclude the possibility of the presence or addition of one or more other features, quantities, steps, operations, constituent elements and components or combinations thereof.

[0043] Figure 1 This is a diagram illustrating a power prediction test apparatus according to an exemplary embodiment.

[0044] like Figure 1 As shown, the power prediction test device 1 and the battery management system 2 to be tested can send and receive the information required for the test via CAN communication. Figure 1 As shown, CAN communication can be provided to the power prediction test device 1 and the battery management system 2 via CAN bus 3.

[0045] The battery management system 2 may include a processor 21 and a CAN communication unit 22. A program for performing power prediction is installed in the processor 21, which can perform power prediction based on power prediction instructions and conditions received from the power prediction test device 1. The processor 21 can provide prediction results to the CAN communication unit 22, and the CAN communication unit 22 can send the prediction results to the power prediction test device 1.

[0046] The predicted power can include charging power and discharging power. Charging power can refer to the power required to charge a specific battery device from its current SOC to a predetermined reference SOC under specific temperature conditions. For example, the reference SOC could be 100%. Discharging power can refer to the power that can be supplied when a battery device discharges from its current SOC to a predetermined reference SOC under specific temperature conditions. The unit of power can be [kW]. The specific battery device can include multiple secondary battery cells connected in series. The charging power and discharging power can vary depending on the battery device of the battery management system 2 being tested.

[0047] The power prediction test device 1 may include a database 10, a test executor 11, a test comparator 12, and a CAN communication unit 13.

[0048] Database 10 may include multiple power mapping tables 101_1 to 101_n based on various types of battery devices. Each of the multiple power mapping tables 101_1 to 101_n may include a table of discharge power and charging power based on the SOC and temperature of the corresponding battery device. Additionally, each of the multiple power mapping tables 101_1 to 101_n may include multiple tables where long-term discharge power and short-term discharge power, as well as long-term charging power and short-term charging power, are matched based on the SOC and temperature of the corresponding battery device. "Long-term" can be a time period of 30 seconds or longer, and "short-term" can be a time period of less than 30 seconds. Long-term discharge power is the discharge power generated during the 'long-term' period when discharging from the current SOC to a reference SOC (e.g., SOC 0%), and short-term discharge power can be the discharge power generated during the 'short-term' period when discharging from the current SOC to a reference SOC (e.g., SOC 0%). Long-term charging power is the charging power required to charge from the current SOC to a reference SOC (e.g., SOC 100%) during a 'long-term' period, and short-term charging power can be the charging power required to charge from the current SOC to a reference SOC (e.g., SOC 100%) during a 'short-term' period.

[0049] Figure 2 This is a diagram illustrating a power mapping table of a battery device according to an exemplary embodiment.

[0050] Figure 2 The power mapping table 101_i shown (where i is a natural number from 1 to n) can be Figure 1 The diagram shows one of several power mapping tables 101_1 to 101_n. Power mapping table 101_i may include a long-term discharge power mapping table 211, a short-term discharge power mapping table 212, a long-term charge power mapping table 213, and a short-term charge power mapping table 214. Each of the long-term discharge power mapping table 211, the short-term discharge power mapping table 212, the long-term charge power mapping table 213, and the short-term charge power mapping table 214 can be implemented as a table with a 21×21 matrix structure, which has 21 SOC columns (divided into 5% equal parts in the range of SOC from 0% to 100%) and 21 temperature rows (divided into 5°C equal parts in the range of temperature from -40°C to 60°C). Figure 2 The power values ​​in the long-term discharge power mapping table 211, short-term discharge power mapping table 212, long-term charging power mapping table 213, and short-term charging power mapping table 214 shown are preset values, which are in... Figure 2 It is described as "xx". Figure 2 In this specification and accompanying drawings, "xx" indicates the electrical value, which can be determined based on the temperature and SOC of the corresponding location. It should be noted that in the following text, "xx" is intended to indicate the electrical value determined based on the corresponding SOC and temperature, and is not intended to indicate the same value.

[0051] exist Figure 2 In each of the shown long-term discharge power mapping table 211, short-term discharge power mapping table 212, long-term charge power mapping table 213, and short-term charge power mapping table 214, the State of Charge (SOC), temperature, and corresponding power values ​​can be obtained through a discharge power prediction program and a charge power prediction program. The discharge power prediction program is installed in a computing device, which receives the type of battery device, the discharge time period (long-term or short-term), the current SOC of the battery device, and the current temperature, and executes the discharge power prediction program according to the input conditions to predict the power value required to discharge the battery device from its current SOC to a reference SOC. Similarly, the charge power prediction program is installed in a computing device, which receives the type of battery device, the discharge time period (long-term or short-term), the current SOC of the battery device, and the current temperature, and executes the charge power prediction program according to the input conditions to predict the power value required to charge the battery device from its current SOC to a reference SOC.

[0052] The same programs as the discharge power prediction program and charging power prediction program executed by the computing device can be installed in the processor 21. The processor 21 can receive power prediction instructions, SOC, and temperature provided externally, and use the received SOC and temperature to execute the program corresponding to the power prediction instructions in the discharge power prediction program and charging power prediction program to predict either the discharge power or the charging power. The power prediction instructions can indicate one of a long-term discharge power prediction instruction, a short-term discharge power prediction instruction, a long-term charging power prediction instruction, and a short-term charging power prediction instruction.

[0053] To verify the power prediction procedure, test executor 11 can select a power mapping table (e.g., 101_i) from database 10 for the battery device using battery management system 2. Test executor 11 can provide all power prediction conditions for each of the long-term discharge power mapping table 211, short-term discharge power mapping table 212, long-term charge power mapping table 213, and short-term charge power mapping table 214 of power mapping table 101_i to battery management system 2, and match each of the power prediction results provided by battery management system 2 with the corresponding power prediction conditions to provide to test comparator 12.

[0054] For example, test executor 11 utilizes Figure 2 The SOC of 0%, 5%, 10%, and 100% in the long-term discharge power mapping table 211, along with all combinations of temperatures between -40°C, -35°C, -30°C, and 60°C, generates 21×21 long-term discharge power prediction conditions. Each of these conditions and instructions is sequentially provided to the CAN communication unit 13. The CAN communication unit 13 can send each of these conditions and instructions to the battery management system 2. Based on the long-term discharge power prediction instructions and conditions received by the battery management system 2, the processor 21 can execute a discharge power prediction program to predict the long-term discharge power. The processor 21 can provide the long-term discharge power prediction value to the CAN communication unit 22, which can then send the prediction value to the power prediction test device 1 via the CAN bus 3. The CAN communication unit 13 receives the long-term discharge power prediction value and provides it to the test actuator 11. The test actuator 11 provides the long-term discharge power prediction conditions and the prediction value to the test comparator 12. The test comparator 12 can derive the reference discharge power value in the long-term discharge power mapping table 211 based on the long-term discharge power prediction conditions, and compare the long-term discharge power prediction value with the normal range defined by the derived reference discharge power value.

[0055] Figure 3This is a diagram illustrating a method for determining a normal range according to an exemplary embodiment.

[0056] exist Figure 3 Exemplary values ​​are described in some areas of the long-term discharge power mapping table 211. Figure 3 The values ​​described in the text for the exemplary implementation may differ from the actual power forecast values.

[0057] exist Figure 3 In this test, the comparator 12 can derive a long-term discharge power value of 12.0 [kW] as high as the unit SOC (5%), a long-term discharge power value of 10.0 [kW] as low as the unit SOC, a long-term discharge power value of 11.5 [kW] as high as the unit temperature (5°C), and a long-term discharge power value of 10.5 [kW] as low as the unit temperature, based on the long-term discharge power prediction conditions (SOC 40% and 5°C). The normal range (9.0 to 13.0 [kW]) is determined from the maximum reference value (13.0 [kW]) obtained by adding a predetermined margin (e.g., 1.0 [kW]) to the maximum value (12.0 [kW]) of the reference discharge power value and the minimum reference value (9.0 [kW]) obtained by subtracting the predetermined margin (e.g., 1 [kW]) from the minimum value (10.0 [kW]). The test comparator 12 may include a memory 121, and the test comparator 12 can store the result of comparing the normal range with the long-term discharge power prediction value received from the battery management system 2 in a corresponding memory cell. When the long-term discharge power prediction value is within the normal range, the test comparator 12 can determine that it has passed, and if the long-term discharge power prediction value is outside the normal range, it determines that it has failed. When a fault occurs, it can be determined that there is an anomaly in the power prediction program installed in the processor 21 of the battery management system 2.

[0058] The memory 121 includes four memory regions, which can be divided into areas for storing long-term discharge power prediction test results, short-term discharge power prediction test results, long-term charging power prediction test results, and short-term charging power prediction test results, respectively. Each memory region may include multiple memory cells defined in the same 21×21 matrix structure as the power mapping table. The test comparator 12 can store the results of comparing the long-term discharge power prediction value with the normal range in the memory cells corresponding to the power prediction conditions.

[0059] Figure 4 This is a schematic diagram illustrating a memory region storing long-term discharge power prediction test results in memory according to an exemplary embodiment.

[0060] Long-term discharge power prediction test results can be stored Figure 4The memory region 41 is shown. In each cell of memory region 41, "1" can indicate success and "0" can indicate failure. Cells in memory region 41 whose values ​​are not described are cells where test results to be pushed will be written. For example, assuming that the predicted long-term discharge power under the conditions of SOC 40% and temperature 5°C is outside the normal range of 9.0 to 13.0 [kW], test comparator 12 can write "0" to the memory cell corresponding to address 9×10 in memory region 41 of memory 121.

[0061] Short-term discharge power prediction test, long-term charging power prediction test and short-term charging power prediction test can be performed using the same scheme as long-term discharge power prediction test.

[0062] For example, test executor 11 utilizes Figure 2 The short-term discharge power mapping table 212, as shown, generates 21×21 short-term discharge power prediction conditions based on all combinations of SOC (0%, 5%, 10%, 100%) and temperatures (-40°C, -35°C, -30°C, 60°C). Each of these short-term discharge power prediction conditions and instructions is sequentially provided to the CAN communication unit 13. The CAN communication unit 13 can send each of these short-term discharge power prediction conditions and instructions to the battery management system 2. Based on the short-term discharge power prediction instructions and conditions received by the battery management system 2, the processor 21 can execute a discharge power prediction program to predict the short-term discharge power. The processor 21 can provide the short-term discharge power prediction value to the CAN communication unit 22, and the CAN communication unit 22 can send the short-term discharge power prediction value to the power prediction test device 1 via the CAN bus 3. The CAN communication unit 13 receives the short-term discharge power prediction value and provides it to the test executor 11. The test executor 11 provides the short-term discharge power prediction conditions and the short-term discharge power prediction value to the test comparator 12. The test comparator 12 can derive a reference discharge power value in the short-term discharge power mapping table 212 based on the short-term discharge power prediction conditions, and compare the short-term discharge power prediction value with the normal range defined by the derived reference discharge power value. When the short-term discharge power prediction value is within the normal range, the test comparator 12 can write a value "1" indicating success to the memory cell of the corresponding memory region and address in the memory 121, and when the short-term discharge power prediction value is outside the normal range, it can write a value "0" indicating failure to the memory cell of the corresponding memory region and address in the memory 121.

[0063] For example, test executor 11 utilizes Figure 2The SOC of 0%, 5%, 10%, and 100% in the long-term charging power mapping table 213, along with all combinations of temperatures between -40°C, -35°C, -30°C, and 60°C, generates 21×21 long-term charging power prediction conditions. Each of these long-term charging power prediction conditions and instructions is sequentially provided to the CAN communication unit 13. The CAN communication unit 13 can send each of these long-term charging power prediction conditions and instructions to the battery management system 2. Based on the long-term charging power prediction instructions and conditions received by the battery management system 2, the processor 21 can execute a charging power prediction program to predict the long-term charging power. The processor 21 can provide the long-term charging power prediction value to the CAN communication unit 22, and the CAN communication unit 22 can send the long-term charging power prediction value to the power prediction test device 1 via the CAN bus 3. The CAN communication unit 13 receives the long-term charging power prediction value and provides it to the test executor 11. The test executor 11 provides the long-term charging power prediction conditions and the long-term charging power prediction value to the test comparator 12. The test comparator 12 can derive a reference charging power value in the long-term charging power mapping table 213 based on the long-term charging power prediction conditions, and compare the long-term charging power prediction value with the normal range defined by the derived reference charging power value. When the long-term charging power prediction value is within the normal range, the test comparator 12 can write a value "1" indicating success to the memory cell at the corresponding memory area and address in the memory 121, and when the long-term charging power prediction value is outside the normal range, it can write a value "0" indicating failure to the memory cell at the corresponding memory area and address in the memory 121.

[0064] For example, test executor 11 utilizes Figure 2The short-term charging power mapping table 214, as shown, generates 21×21 short-term charging power prediction conditions based on all combinations of SOC 0%, 5%, 10%, 100% and temperatures of -40℃, -35℃, -30℃, 60℃. Each of these short-term charging power prediction conditions and instructions is sequentially provided to the CAN communication unit 13. The CAN communication unit 13 can send each of these short-term charging power prediction conditions and instructions to the battery management system 2. Based on the short-term charging power prediction instructions and conditions received by the battery management system 2, the processor 21 can execute a charging power prediction program to predict short-term charging power. The processor 21 can provide short-term charging power prediction values ​​to the CAN communication unit 22, and the CAN communication unit 22 can send short-term charging power prediction values ​​to the power prediction test device 1 via the CAN bus 3. The CAN communication unit 13 receives the short-term charging power prediction values ​​and provides them to the test executor 11. The test executor 11 provides the short-term charging power prediction conditions and short-term charging power prediction values ​​to the test comparator 12. The test comparator 12 can derive a reference charging power value in the short-term charging power mapping table 214 based on the short-term charging power prediction conditions, and compare the short-term charging power prediction value with the normal range defined by the derived reference charging power value. When the short-term charging power prediction value is within the normal range, the test comparator 12 can write a value "1" indicating success to the memory cell at the corresponding memory area and address in the memory 121, and when the short-term charging power prediction value is outside the normal range, it can write a value "0" indicating failure to the memory cell at the corresponding memory area and address in the memory 121.

[0065] Figure 5 This is a diagram illustrating a discharge power difference meter and a charging power difference meter stored in a memory according to an exemplary embodiment.

[0066] Test comparator 12 can calculate the discharge power difference between corresponding power values ​​in the long-term discharge power mapping table 211 and the short-term discharge power mapping table 212 to generate a discharge power difference table 501. Test comparator 12 can calculate the charging power difference between corresponding power values ​​in the long-term charging power mapping table 213 and the short-term charging power mapping table 214 to generate a charging power difference table 502.

[0067] The test comparator 12 can store the discharge power difference meter 501 and the charging power difference meter 502 in the memory 121. The memory 121 may also include a memory area for storing the discharge power difference meter 501 and the charging power difference meter 502.

[0068] Figure 6This is a diagram illustrating a predicted discharge power difference table and a predicted charge power difference table stored in a memory according to an exemplary embodiment.

[0069] Test comparator 12 can generate a predicted discharge power difference table 601 using multiple discharge power differences between multiple long-term discharge power predictions and multiple short-term discharge power predictions under multiple SOC and multiple temperature conditions predicted by the battery management system 2 provided by test executor 11. Test comparator 12 can also generate a predicted discharge power difference table 602 using multiple charging power differences between multiple long-term charging power predictions and multiple short-term charging power predictions under multiple SOC and multiple temperature conditions predicted by the battery management system 2 provided by test executor 11. Test comparator 12 can store the predicted discharge power difference table 601 and the predicted charging power difference table 602 in memory 121. Memory 121 may further include a memory region for storing the predicted discharge power difference table 601 and the predicted charging power difference table 602.

[0070] Test comparator 12 can compare each of the discharge power differences in the predicted discharge power difference table 601 with the normal range defined by the corresponding reference discharge power difference value in the discharge power difference table 501. Test comparator 12 can also compare each of the charging power differences in the predicted discharge power difference table 602 with the normal range defined by the corresponding reference charging power difference value in the discharge power difference table 502.

[0071] Figure 7 This is a diagram illustrating a method for determining a normal range according to an exemplary embodiment.

[0072] Figure 7 Exemplary values ​​in a portion of each of the discharge power difference meter 501 and the charging power difference meter 502 are described. Figure 7 The values ​​described in the text for describing exemplary embodiments may differ from the actual discharge power difference and the actual charging power difference.

[0073] The test comparator 12 can derive reference discharge power differences from the discharge power difference table 501, corresponding to the predicted discharge power differences under the conditions of SOC 40% and temperature 5°C. For example, based on a specific condition (SOC 40% and 5°C), a discharge power difference of 0.5 [kW] as high as the unit SOC (5%), a discharge power difference of 0.4 [kW] as low as the unit SOC, a discharge power difference of 0.6 [kW] as high as the unit temperature (5°C), and a discharge power difference of 0.5 [kW] as low as the unit temperature are derived as reference discharge power differences. Test comparator 12 can determine the normal range (0.3 to 0.7 kW) using a maximum reference value (0.7 kW) obtained by adding a predetermined margin (e.g., 0.1 kW) to the maximum value (0.6 kW) of the reference discharge power difference and a minimum reference value (0.3 kW) obtained by subtracting the predetermined margin (e.g., 0.1 kW) from the minimum value (0.4 kW) of the reference discharge power difference. Test comparator 12 can store the result of comparing the predicted discharge power difference with the normal range in a corresponding memory cell in memory 121. Test comparator 12 can determine a pass when the predicted discharge power difference is within the normal range and a failure when the predicted discharge power difference exceeds the normal range. For example, when the predicted discharge power difference is 0.55 kW at 40% SOC and 5°C, test comparator 12 can determine a pass.

[0074] The test comparator 12 can derive reference charging power difference values ​​corresponding to the predicted charging power difference under the conditions of SOC 40% and temperature 5°C from the charging power difference table 502. For example, based on a specific condition (SOC 40% and 5°C), a charging power difference of 0.4 [kW] as high as the unit SOC (5%), a charging power difference of 0.5 [kW] as low as the unit SOC, a charging power difference of 0.6 [kW] as high as the unit temperature (5°C), and a charging power difference of 0.5 [kW] as low as the unit temperature can be derived as reference charging power difference values. Test comparator 12 can determine the normal range (0.3 to 0.7 kW) using a maximum reference value (0.7 kW) obtained by adding a predetermined margin (e.g., 0.1 kW) to the maximum value (0.6 kW) of the reference charging power difference, and a minimum reference value (0.3 kW) obtained by subtracting the predetermined margin (e.g., 0.1 kW) from the minimum value (0.4 kW) of the reference charging power difference. Test comparator 12 can store the result of comparing the predicted charging power difference with the normal range in a corresponding memory cell in memory 121. Test comparator 12 can determine a pass when the predicted charging power difference is within the normal range and a failure when the predicted charging power difference is outside the normal range. For example, when the predicted charging power difference is 0.65 kW at 40% SOC and 5°C, test comparator 12 can determine a pass.

[0075] Figure 8 This is a flowchart illustrating a power prediction test method for testing power prediction in a battery management system according to an exemplary embodiment.

[0076] Test executor 11 can generate multiple power prediction conditions (S1) by utilizing a combination of multiple SOCs and multiple temperatures in a power mapping table (e.g., 101_i).

[0077] The test executor 11 can provide the battery management system 2 with each of a plurality of power prediction conditions and a power prediction instruction (S2) corresponding to each power prediction condition.

[0078] Test actuator 11 can receive multiple power prediction values ​​based on multiple power prediction conditions from battery management system 2 (S3).

[0079] Test comparator 12 can determine a normal range (S4) with an upper limit and a lower limit, the upper limit being obtained by adding a predetermined margin to the maximum of a first power value, a second power value, a third power value, and a fourth power value, and the lower limit being obtained by subtracting the predetermined margin from the minimum of the first to fourth power values ​​in power mapping table 101_i, the first power value corresponding to a second SOC (45%) that increases by one unit SOC (5%) from a first SOC (e.g., 40%) corresponding to a power prediction condition, the second power value corresponding to a third SOC (35%) that decreases by one unit SOC from the first SOC and a first temperature (5°C), the third power value corresponding to the first SOC (40%) and a second temperature (10°C) that increases by one unit temperature (5°C) from the first temperature, and the fourth power value corresponding to the first SOC (40%) and a third temperature (0°C) that decreases by one unit temperature from the first temperature.

[0080] Test comparator 12 can compare each of the multiple power prediction values ​​with the normal range defined by multiple reference power values ​​in power mapping table 101_i based on the power prediction conditions (SOC and temperature) corresponding to each power prediction value (S5).

[0081] Figure 9 This is a flowchart illustrating a power prediction test method for testing discharge power prediction in a battery management system according to an exemplary embodiment.

[0082] Test comparator 12 can generate multiple discharge power differences between long-term discharge power mapping table (e.g., 211) and short-term discharge power table (e.g., 212) (S10).

[0083] The test comparator 12 can generate a predicted discharge power difference (S11), which is the difference between the long-term discharge power prediction value and the short-term discharge power prediction value under the conditions of the first SOC and the first temperature provided by the battery management system 2.

[0084] Test comparator 12 can determine a normal range (S12) using multiple reference discharge power differences based on a first SOC and a first temperature. Test comparator 12 can determine the normal range of step S12 with an upper limit and a lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among the first, second, third, and fourth discharge power differences. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first to fourth discharge power differences. The first discharge power difference corresponds to a second SOC and a first temperature that increase by one unit from the first SOC. The second discharge power difference corresponds to a third SOC and a first temperature that decrease by one unit from the first SOC. The third discharge power difference corresponds to the first SOC and a second temperature that increases by one unit from the first temperature. The fourth discharge power difference corresponds to the first SOC and a third temperature that decreases by one unit from the first temperature.

[0085] Test comparator 12 can compare the predicted discharge power difference with the normal range to determine pass and fail (S13).

[0086] Figure 10 This is a flowchart illustrating a power prediction test method for testing charging power prediction in a battery management system according to an exemplary embodiment.

[0087] Test comparator 12 can generate multiple charging power differences between long-term charging power mapping table 213 and short-term charging power table 214 (S14).

[0088] The test comparator 12 can generate a predicted charging power difference (S15), which is the difference between the long-term charging power prediction value and the short-term charging power prediction value under the conditions of the first SOC and the first temperature provided by the battery management system 2.

[0089] Test comparator 12 can determine a normal range using multiple reference charging power differences (S16) based on a first SOC and a first temperature. Test comparator 12 can determine the normal range of step S16 with an upper and lower limit value. The upper limit value is obtained by adding a predetermined margin to the maximum value among the first, second, third, and fourth charging power differences. The lower limit value is obtained by subtracting the predetermined margin from the minimum value among the first to fourth charging power differences. The first charging power difference corresponds to a second SOC and a first temperature that increase by one unit from the first SOC. The second charging power difference corresponds to a third SOC and a first temperature that decrease by one unit from the first SOC. The third charging power difference corresponds to the first SOC and a second temperature that increases by one unit from the first temperature. The fourth charging power difference corresponds to the first SOC and a third temperature that decreases by one unit from the first temperature.

[0090] Test comparator 12 can compare the predicted charging power difference with the normal range to determine pass and fail (S17).

[0091] As described above, in order to test whether the power prediction program installed in the battery management system is operating correctly, the implementation can automatically provide power prediction conditions to the battery management system and receive power prediction results from the battery management system to determine whether it passes or fails. Therefore, an apparatus and method for power prediction testing can be provided, which can perform automatic power prediction testing without relying on an operator.

[0092] While the invention has been described in conjunction with exemplary embodiments which are now considered to be practical, it should be understood that the invention is not limited to the disclosed embodiments, but rather is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. A power prediction test apparatus for testing the power prediction of a battery management system, the power prediction test apparatus comprising: A database comprising multiple power mapping tables that indicate power based on state of charge (SOC) and temperature; A test executor is configured to generate multiple power prediction conditions using a combination of multiple SOCs and multiple temperatures in the power mapping tables of the battery device to which the battery management system applies the multiple power mapping tables, provide each of the multiple power prediction conditions and a power prediction instruction corresponding to each power prediction condition to the battery management system, and receive multiple power prediction values ​​from the battery management system based on the multiple power prediction conditions. as well as A test comparator is configured to compare each of the plurality of power prediction values ​​with a normal range defined by a plurality of reference power values ​​in the power mapping table based on power prediction conditions corresponding to each power prediction value.

2. The power prediction and testing device according to claim 1, wherein, The test comparator is configured as follows: The normal range is determined by having an upper limit and a lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among a first power value, a second power value, a third power value, and a fourth power value. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first power value and the fourth power value. In the power mapping table, the first power value corresponds to a second SOC that increases by one unit SOC from the first SOC corresponding to the power prediction condition and a first temperature corresponding to the power prediction condition. The second power value corresponds to a third SOC that decreases by one unit SOC from the first SOC and the first temperature. The third power value corresponds to the first SOC and a second temperature that increases by one unit temperature from the first temperature. The fourth power value corresponds to the first SOC and a third temperature that decreases by one unit temperature from the first temperature.

3. The power prediction and testing device according to claim 1, wherein, The power mapping table includes a long-term discharge power mapping table, a short-term discharge power mapping table, a long-term charging power mapping table, and a short-term charging power mapping table. Long-term discharge power is the power generated when the battery device discharges from the current SOC to a predetermined first reference SOC during a predetermined first time period. Short-term discharge power is the power generated when the battery device discharges from the current SOC to the first reference SOC during a second time period shorter than the first time period. Long-term charging power is the power required for the battery device to discharge from its current state of charge (SOC) to a predetermined second reference state of charge (SOC) during a predetermined third time period. The short-term charging power is the power required for the battery device to charge from the current SOC to the second reference SOC during a fourth time period that is shorter than the third time period.

4. The power prediction and testing device according to claim 3, wherein, The test executor is configured to send multiple long-term discharge power prediction conditions and long-term discharge prediction instructions from the long-term discharge power mapping table to the battery management system, and to receive multiple long-term discharge power prediction values ​​based on the multiple long-term discharge power prediction conditions from the battery management system. The test comparator is configured to, For each of the plurality of long-term discharge power predictions, The normal range is determined by having an upper and lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among a first, second, third, and fourth long-term discharge power value. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first to fourth long-term discharge power values. In the long-term discharge power mapping table, the first long-term discharge power value corresponds to a second SOC (saturation point) increasing by one unit from the first SOC of the long-term discharge power prediction condition corresponding to each long-term discharge power prediction value, and a first temperature corresponding to the long-term discharge power prediction condition. The second long-term discharge power value corresponds to a third SOC decreasing by one unit from the first SOC and the first temperature. The third long-term discharge power value corresponds to the first SOC and a second temperature increasing by one unit from the first temperature. The fourth long-term discharge power value corresponds to the first SOC and a third temperature decreasing by one unit from the first temperature. A pass is determined when each long-term discharge power prediction is within the normal range, and a failure is determined when each long-term discharge power prediction is outside the normal range.

5. The power prediction and testing device according to claim 3, wherein, The test executor is configured to send multiple short-term discharge power prediction conditions and short-term discharge prediction instructions from the short-term discharge power mapping table to the battery management system, and to receive multiple short-term discharge power prediction values ​​based on the multiple short-term discharge power prediction conditions from the battery management system. The test comparator is configured to, For each of the plurality of short-term discharge power predictions, The normal range is determined by having an upper and lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among a first, second, third, and fourth short-term discharge power value. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first to fourth short-term discharge power values. In the short-term discharge power mapping table, the first short-term discharge power value corresponds to a second SOC (short-term discharge power prediction condition) increasing by one unit SOC from the first SOC and a first temperature corresponding to the short-term discharge power prediction condition. The second short-term discharge power value corresponds to a third SOC decreasing by one unit SOC from the first SOC and the first temperature. The third short-term discharge power value corresponds to the first SOC and a second temperature increasing by one unit temperature from the first temperature. The fourth short-term discharge power value corresponds to the first SOC and a third temperature decreasing by one unit temperature from the first temperature. A pass is determined when each short-term discharge power prediction value is within the normal range, and a failure is determined when each short-term discharge power prediction value is outside the normal range.

6. The power prediction and testing device according to claim 3, wherein, The test executor is configured to send multiple long-term charging power prediction conditions and long-term charging prediction instructions from the long-term charging power mapping table to the battery management system, and to receive multiple long-term charging power prediction values ​​based on the multiple long-term charging power prediction conditions from the battery management system. The test comparator is configured to, For each of the plurality of long-term charging power predictions, A normal range with an upper and lower limit is determined. The upper limit is obtained by adding a predetermined margin to the maximum value among a first, second, third, and fourth long-term charging power value. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first to fourth long-term charging power values. In the long-term charging power mapping table, the first long-term charging power value corresponds to a second SOC (a unit SOC increase from the first SOC corresponding to each long-term charging power prediction condition) and a first temperature corresponding to the long-term charging power prediction condition. The second long-term charging power value corresponds to a third SOC (a unit SOC decrease from the first SOC) and the first temperature. The third long-term charging power value corresponds to the first SOC and a second temperature (a unit temperature increase from the first temperature). The fourth long-term charging power value corresponds to the first SOC and a third temperature (a unit temperature decrease from the first temperature). A pass is determined when each long-term charging power prediction is within the normal range, and a failure is determined when each long-term charging power prediction is outside the normal range.

7. The power prediction and testing device according to claim 3, wherein, The test executor is configured to send multiple short-term charging power prediction conditions and short-term charging prediction instructions from the short-term charging power mapping table to the battery management system, and to receive multiple short-term charging power prediction values ​​based on the multiple short-term charging power prediction conditions from the battery management system. The test comparator is configured to, For each of the plurality of short-term charging power predictions, A normal range with an upper and lower limit is determined. The upper limit is obtained by adding a predetermined margin to the maximum value among a first short-term charging power value, a second short-term charging power value, a third short-term charging power value, and a fourth short-term charging power value. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first short-term charging power values ​​to the fourth short-term charging power values. In the short-term charging power mapping table, the first short-term charging power value corresponds to a second SOC (a unit SOC increase from the first SOC corresponding to each short-term charging power prediction condition) and a first temperature corresponding to the short-term charging power prediction condition. The second short-term charging power value corresponds to a third SOC (a unit SOC decrease from the first SOC) and the first temperature. The third short-term charging power value corresponds to the first SOC and a second temperature (a unit temperature increase from the first temperature). The fourth short-term charging power value corresponds to the first SOC and a third temperature (a unit temperature decrease from the first temperature). A pass is determined when each short-term charging power prediction is within the normal range, and a failure is determined when each short-term charging power prediction is outside the normal range.

8. The power prediction and testing device according to claim 3, wherein, The test comparator is configured as follows: Generate multiple discharge power differences between the long-term discharge power mapping table and the short-term discharge power mapping table. The predicted discharge power difference is compared with the normal range to determine pass and fail. The predicted discharge power difference is the difference between the long-term and short-term predicted discharge power values ​​under first SOC and first temperature conditions provided by the battery management system. The normal range is determined using multiple reference discharge power differences based on the first SOC and the first temperature.

9. The power prediction and testing device according to claim 8, wherein, The test comparator is configured to, A normal range is determined having an upper limit and a lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among a first discharge power difference, a second discharge power difference, a third discharge power difference, and a fourth discharge power difference. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first discharge power difference to the fourth discharge power difference. The first discharge power difference corresponds to a second SOC (a unit increase in SOC) and a first temperature. The second discharge power difference corresponds to a third SOC (a unit decrease in SOC) and a first temperature. The third discharge power difference corresponds to the first SOC and a second temperature (a unit increase in temperature from the first temperature). The fourth discharge power difference corresponds to the first SOC and a third temperature (a unit decrease in temperature from the first temperature).

10. The power prediction and testing device according to claim 3, wherein, The test comparator is configured as follows: Generate multiple charging power differences between the long-term charging power mapping table and the short-term charging power mapping table. The predicted charging power difference is compared with a normal range to determine pass and fail. The predicted charging power difference is the difference between a long-term and short-term predicted charging power value under first SOC and first temperature conditions provided by the battery management system. The normal range is determined using multiple reference charging power differences based on the first SOC and the first temperature.

11. The power prediction and testing apparatus according to claim 8, wherein, The test comparator is configured to, A normal range with an upper limit and a lower limit is determined. The upper limit is obtained by adding a predetermined margin to the maximum value among a first charging power difference, a second charging power difference, a third charging power difference, and a fourth charging power difference. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first charging power difference to the fourth charging power difference. The first charging power difference corresponds to a second SOC (a unit increase in SOC) and a first temperature. The second charging power difference corresponds to a third SOC (a unit decrease in SOC) and a first temperature. The third charging power difference corresponds to the first SOC and a second temperature (a unit increase in temperature from the first temperature). The fourth charging power difference corresponds to the first SOC and a third temperature (a unit decrease in temperature from the first temperature).

12. A power prediction test method for testing the power prediction of a battery management system, the power prediction test method comprising the following steps: Multiple power prediction conditions are generated by using combinations of multiple SOCs and multiple temperatures in the power mapping table. Provide the battery management system with each of the plurality of power prediction conditions and a power prediction instruction corresponding to each power prediction condition; Receive multiple power prediction values ​​from the battery management system based on the multiple power prediction conditions; as well as Each of the plurality of power forecast values ​​is compared with a normal range defined by a plurality of reference power values ​​in the power mapping table based on the power forecast conditions corresponding to each power forecast value.

13. The power prediction testing method according to claim 12, further comprising the following steps: The normal range is determined by having an upper limit and a lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among a first power value, a second power value, a third power value, and a fourth power value. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first power value and the fourth power value. In the power mapping table, the first power value corresponds to a second SOC that increases by one unit SOC from the first SOC corresponding to the power prediction condition and a first temperature corresponding to the power prediction condition. The second power value corresponds to a third SOC that decreases by one unit SOC from the first SOC and the first temperature. The third power value corresponds to the first SOC and a second temperature that increases by one unit temperature from the first temperature. The fourth power value corresponds to the first SOC and a third temperature that decreases by one unit temperature from the first temperature.

14. The power prediction test method according to claim 12, wherein, The power mapping table includes a long-term discharge power mapping table, a short-term discharge power mapping table, a long-term charging power mapping table, and a short-term charging power mapping table. Long-term discharge power is the power generated when the battery device discharges from the current SOC to a predetermined first reference SOC during a predetermined first time period. Short-term discharge power is the power generated when the battery device discharges from the current SOC to the first reference SOC during a second time period shorter than the first time period. The long-term charging power is the power required to charge the battery device from its current SOC to a predetermined second reference SOC during a predetermined third time period, and The short-term charging power is the power required to charge the battery device from the current SOC to the second reference SOC during a fourth time period that is shorter than the third time period.

15. The power prediction testing method according to claim 14, further comprising the following steps: Generate multiple discharge power differences between the long-term discharge power mapping table and the short-term discharge power mapping table; Generate a predicted discharge power difference, which is the difference between a long-term predicted discharge power value and a short-term predicted discharge power value under the conditions of a first SOC and a first temperature provided by the battery management system. The normal range is determined by using multiple reference discharge power differences based on the first SOC and the first temperature. as well as The predicted discharge power difference is compared with the normal range to determine pass and fail.

16. The power prediction test method according to claim 15, wherein, The steps for determining the normal range include: A normal range is determined having an upper limit and a lower limit. The upper limit is obtained by adding a predetermined margin to the maximum value among a first discharge power difference, a second discharge power difference, a third discharge power difference, and a fourth discharge power difference. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first discharge power difference to the fourth discharge power difference. The first discharge power difference corresponds to a second SOC (a unit increase in SOC) and a first temperature. The second discharge power difference corresponds to a third SOC (a unit decrease in SOC) and a first temperature. The third discharge power difference corresponds to the first SOC and a second temperature (a unit increase in temperature from the first temperature). The fourth discharge power difference corresponds to the first SOC and a third temperature (a unit decrease in temperature from the first temperature).

17. The power prediction testing method according to claim 14, further comprising the following steps: Generate multiple charging power differences between the long-term charging power mapping table and the short-term charging power mapping table; Generate a predicted charging power difference, which is the difference between a long-term predicted charging power value and a short-term predicted charging power value under the conditions of a first SOC and a first temperature provided by the battery management system. The normal range is determined by using multiple reference charging power differences based on the first SOC and the first temperature. as well as The predicted charging power difference is compared with the normal range to determine pass and fail.

18. The power prediction test method according to claim 17, wherein, The steps for determining the normal range include: A normal range with an upper limit and a lower limit is determined. The upper limit is obtained by adding a predetermined margin to the maximum value among a first charging power difference, a second charging power difference, a third charging power difference, and a fourth charging power difference. The lower limit is obtained by subtracting the predetermined margin from the minimum value among the first charging power difference to the fourth charging power difference. The first charging power difference corresponds to a second SOC (a unit increase in SOC) and a first temperature. The second charging power difference corresponds to a third SOC (a unit decrease in SOC) and a first temperature. The third charging power difference corresponds to the first SOC and a second temperature (a unit increase in temperature from the first temperature). The fourth charging power difference corresponds to the first SOC and a third temperature (a unit decrease in temperature from the first temperature).

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