KR102489129B1 - Method and apparatus for setting representative power pattern for battery test - Google Patents

Abstract

A method and apparatus for selecting a representative power pattern for a charge/discharge test of a battery are disclosed. The method includes collecting a plurality of candidate power patterns, each candidate power pattern representing a change in charge/discharge power for a predetermined period, from an external device to which a communication interface is connected through a communication network; determining, by a processor electrically connected to the communication interface, a first characteristic value and a second characteristic value of each candidate power pattern; setting, by the processor, at least two candidate power patterns among the plurality of candidate power patterns as a power pattern of interest based on the first characteristic value and the second characteristic value of each candidate power pattern; additionally determining, by the processor, at least one new characteristic value of each power pattern of interest; calculating, by the processor, an average characteristic value indicating an average value of each characteristic value based on each characteristic value of each power pattern of interest; and selecting, by the processor, one of the two or more power patterns of interest as the representative power pattern based on the respective characteristic values and the respective average characteristic values of the respective power patterns of interest.

Description

Method and apparatus for setting representative power pattern for battery test

The present invention relates to a method and apparatus for setting a representative power pattern for battery testing, and more particularly, to a method and apparatus for setting a representative power pattern most suitable for testing a battery from a plurality of candidate power patterns. it's about

Recently, as the demand for portable electronic products such as laptop computers, video cameras, and mobile phones has rapidly increased, and development of electric vehicles, storage batteries for energy storage, robots, and satellites has been in full swing, high-performance batteries that can be repeatedly charged and discharged have been developed. Research on this is actively progressing.

Currently, commercially available batteries include nickel cadmium batteries, nickel hydrogen batteries, nickel zinc batteries, and lithium batteries. It is in the limelight due to its low energy density and high energy density.

Battery performance varies depending on the external usage environment. For example, power during charging or discharging of a battery is not constant depending on the season, place, time, and the like. A battery manufacturer must receive a plurality of power patterns from a customer and manufacture a battery having specifications (eg, capacity, lifespan) suitable for the customer's needs.

To this end, battery manufacturers must check in advance whether a battery they designed satisfies the customer's requirements by testing the battery using a plurality of power patterns provided by the customer.

However, testing a battery using all of a plurality of power patterns is inefficient in terms of time and cost. In addition, since the deviation between the plurality of power patterns may be large, when the battery is tested using only some of the plurality of power patterns, there is a risk that a battery having specifications that are too low or higher than the customer's request may be delivered to the customer.

The present invention has been made to solve the above problems, and an object of the present invention is to provide a method and apparatus for selecting a representative power pattern suitable for a battery test from a plurality of candidate power patterns.

Other objects and advantages of the present invention can be understood by the following description, and will be more clearly understood by the examples of the present invention. Furthermore, it will be readily apparent that the objects and advantages of the present invention may be realized by means of the instrumentalities and combinations thereof set forth in the claims.

Various embodiments of the present invention for achieving the above object are as follows.

A method for selecting a representative power pattern for a charge/discharge test of a battery according to an aspect of the present invention includes a plurality of candidate power patterns from an external device to which a communication interface is connected through a communication network-each candidate power pattern for a predetermined period of time. Collecting - indicating a change in charge/discharge power; determining, by a processor electrically connected to the communication interface, a first characteristic value and a second characteristic value of each candidate power pattern; setting, by the processor, at least two candidate power patterns among the plurality of candidate power patterns as a power pattern of interest based on the first characteristic value and the second characteristic value of each candidate power pattern; additionally determining, by the processor, at least one new characteristic value of each power pattern of interest; calculating, by the processor, an average characteristic value indicating an average value of each characteristic value based on each characteristic value of each power pattern of interest; and selecting, by the processor, one of the two or more power patterns of interest as the representative power pattern based on the respective characteristic values and the respective average characteristic values of the respective power patterns of interest.

The first characteristic value may represent accumulated energy for the predetermined period. The second characteristic value may represent a maximum energy change amount during a unit period shorter than the predetermined period.

The method may further include transmitting, by the communication interface, a notification signal indicating the representative power pattern to the external device.

At least one new characteristic value of each power pattern of interest additionally determined by the processor may represent at least one of maximum power, minimum power, and average power.

The step of setting two or more candidate power patterns among the plurality of candidate power patterns as the power pattern of interest, wherein the processor determines each candidate power based on the first characteristic value and the second characteristic value of each candidate power pattern. Calculating two-dimensional coordinates corresponding to the pattern; calculating, by the processor, a density of each of a plurality of regions of a Cartesian coordinate system based on each of the two-dimensional coordinates; and setting, by the processor, each of the candidate power patterns corresponding to the two-dimensional coordinates located in the region with the maximum density as the power pattern of interest.

The density of each of the plurality of regions may depend on the number of the 2D coordinates located in each region.

Selecting one of the two or more power patterns of interest as the representative power pattern may include summing, by the processor, a difference between each characteristic value of each power pattern of interest and each average characteristic value; and selecting, by the processor, one of the two or more interested power patterns having the smallest absolute value of the summed difference value as the representative power pattern. Alternatively, the step of selecting one of the two or more power patterns of interest as the representative power pattern may include the processor calculating a first matrix having components representing a correlation between the characteristic values of each power pattern of interest. doing; calculating, by the processor, a second matrix having components representing a correlation between the average characteristic values; summing, by the processor, difference values between components included in the first matrix and components included in the second matrix of each power pattern of interest; and selecting, by the processor, one of the two or more interested power patterns having the smallest absolute value of the summed difference value as the representative power pattern.

Each component included in the first matrix may represent the slope of a straight line passing through two points representing two adjacent characteristic values among the characteristic values when the characteristic values are projected onto an orthogonal coordinate system using a radial chart. there is. Each component included in the second matrix is the slope of a straight line passing through two points representing two adjacent average characteristic values among the average characteristic values when the average characteristic values are projected onto an orthogonal coordinate system using a radial chart. can indicate

An apparatus for selecting a representative power pattern for a charge/discharge test of a battery according to another aspect of the present invention is connected to an external device through a communication network, and a plurality of candidate power patterns from the external device - each of the candidate power patterns is predetermined. a communication interface configured to collect - indicating a change in charge/discharge power over a period of time; and a processor electrically connected to the communication interface. The processor is configured to determine a first characteristic value and a second characteristic value of each candidate power pattern. The processor is configured to set two or more candidate power patterns among the plurality of candidate power patterns as a power pattern of interest based on the first characteristic value and the second characteristic value of each candidate power pattern. The processor is configured to additionally determine at least one new characteristic value of each power pattern of interest. The processor is configured to calculate an average characteristic value indicating an average value of each characteristic value based on each characteristic value of each power pattern of interest. The processor is configured to select one of the two or more power patterns of interest as the representative power pattern based on each characteristic value and each average characteristic value of each power pattern of interest.

A battery test system according to another aspect of the present invention includes the device; and a charge/discharge circuit operatively coupled to the device and configured to perform a charge/discharge test of a battery using the representative power pattern.

According to at least one of the embodiments of the present invention, a representative power pattern suitable for a battery test may be selected from a plurality of candidate power patterns. Accordingly, it is possible to save time and cost compared to a method of testing a battery using all of a plurality of candidate power patterns.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

The following drawings attached to this specification illustrate preferred embodiments of the present invention, and together with the detailed description of the present invention serve to further understand the technical idea of the present invention, the present invention is the details described in such drawings should not be construed as limited to
1 is a diagram showing the configuration of a battery test system according to an embodiment of the present invention by way of example.
2 is a graph showing candidate power patterns by way of example.
FIG. 3 is a graph referred to for explaining an operation of the power pattern selection apparatus shown in FIG. 1 to set two or more power patterns of interest from a plurality of candidate power patterns.
FIG. 4 is a graph referred to for explaining an operation of the power pattern selection apparatus shown in FIG. 1 to set a representative power pattern from a plurality of interested power patterns.
FIG. 5 is a flowchart illustrating a method for selecting a representative power pattern executed by the power pattern selection device shown in FIG. 1 .

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, the terms or words used in this specification and claims should not be construed as being limited to the usual or dictionary meaning, and the inventor appropriately uses the concept of the term in order to explain his/her invention in the best way. It should be interpreted as a meaning and concept consistent with the technical idea of the present invention based on the principle that it can be defined.

Therefore, since the embodiments described in this specification and the configurations shown in the drawings are only one of the most preferred embodiments of the present invention and do not represent all of the technical ideas of the present invention, various alternatives may be used at the time of this application. It should be understood that there may be equivalents and variations.

In addition, in the description of the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description will be omitted.

Terms including ordinal numbers, such as first and second, are used for the purpose of distinguishing one of the various elements from the rest, and are not used to limit the elements by such terms.

Throughout the specification, when a part "includes" a certain component, it means that it may further include other components, not excluding other components unless otherwise stated. In addition, a term such as <control unit> described in the specification means a unit that processes at least one function or operation, which may be implemented as hardware or software, or a combination of hardware and software.

In addition, throughout the specification, when a part is said to be “connected” to another part, this is not only the case where it is “directly connected”, but also the case where it is “indirectly connected” with another element in the middle. include

1 is a diagram showing the configuration of a battery test system 100 according to an embodiment of the present invention by way of example, and FIG. 2 is a graph showing candidate power patterns by way of example.

Referring to FIG. 1 , the battery test system 100 includes an external device 110 , a power pattern selection device 120 and a charge/discharge circuit 130 .

The external device 110 stores a plurality of candidate power patterns. The external device 110 is connected to the power pattern selection device 120 through a communication network. That is, the external device 110 and the power pattern selection device 120 may be communicatively coupled in a wired or wireless manner. The external device 110 transmits a plurality of candidate power patterns to the power pattern selection device 120 through a communication network. Each candidate power pattern may be data representing a change in power as the battery is charged and discharged in a specific area for a predetermined period (eg, 1 year, 10 years). For example, one candidate power pattern represents a change in power obtained while using a battery of an energy storage system installed in region A (eg, Seattle) from January 1, 2017 to December 31, 2017, Another candidate power pattern may indicate a change in power obtained while using a battery of a wind power plant installed in region B (eg, ) from July 1, 2016 to June 30, 2017. In the graph of FIG. 2, the horizontal axis is time, and the vertical axis is power. Power greater than 0W [watt] indicates charging power, and power smaller than 0W [watt] indicates discharging power. Referring to FIG. 2 , each candidate power pattern includes information about changes in charging power and discharging power of a battery used in a specific area over time.

The power pattern selection device 120 includes a communication interface 121 and a processor 122 .

The communication interface 121 includes a wired communication circuit and/or a wireless communication circuit, and is configured to support communication between the external device 110 and the power pattern captain device. The communication interface 121 may be activated in response to a start signal (eg, a voltage having a predetermined high level) from the external device 110 . The communication interface 121 receives a plurality of candidate power patterns from the external device 110 in an activated state and transfers the plurality of candidate power patterns received to the processor 122 .

The processor 122 is electrically connected to the communication interface 121 and is configured to receive a plurality of candidate power patterns from the communication interface 121 . The processor 122, in terms of hardware, includes application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), microprocessors ( 122) (microprocessors) and electrical units for performing other functions. A memory device may be embedded in the processor 122, and for example, RAM, ROM, registers, a hard disk, an optical recording medium, or a magnetic recording medium may be used as the memory device. The memory device may store, update, and/or erase programs including various control logics executed by the processor 122 and/or data generated when the control logics are executed.

The processor 122 is configured to extract at least three characteristic values from each candidate power pattern. Each characteristic value may be a numerical value of a specific characteristic of each candidate power pattern. Each characteristic value may be normalized to fall within a predetermined range (eg, 0 to 1).

The processor 122 may set one of a plurality of candidate power patterns as a representative power pattern based on characteristic values determined from each candidate power pattern. Also, the processor 122 may transmit a notification signal indicating a representative power pattern to at least one of the external device 110 and the charging/discharging circuit 130 using the communication interface 121 .

The charge/discharge circuit 130 is operably coupled to the power pattern selection device 120 and the external device 110 . The charge/discharge circuit 130 may receive a signal indicating a representative power pattern from the power pattern selector 120 or the external device 110 . The charge/discharge circuit 130 measures electrical parameters (eg, current, voltage, temperature) of the battery while performing a charge/discharge test on the battery (not shown) using the representative power pattern. In addition, the charge/discharge circuit 130 may execute pre-stored software to predict the lifespan of the battery based on electrical parameters of the battery measured during the charge/discharge test. The charge/discharge circuit 130 may transmit a notification signal indicating the predicted lifespan of the battery to the external device 110 .

Hereinafter, for convenience of explanation, it is assumed that the power pattern skipping device determines the representative power pattern from the first to tenth candidate power patterns. Of course, it is obvious to those skilled in the art that the representative power pattern can be determined from less than 10 or more than 11 candidate power patterns depending on implementation.

FIG. 3 is a graph referred to for explaining an operation of the power pattern selection device 120 shown in FIG. 1 to set two or more power patterns of interest from a plurality of candidate power patterns.

The processor 122 is configured to individually determine a first characteristic value and a second characteristic value from each candidate power pattern to establish the two or more power patterns of interest.

The first characteristic value may represent accumulated energy. The cumulative energy is a result of integrating the charging power and the discharging power appearing in each candidate power pattern for a predetermined period, and has a unit of Wh [watt-hour]. The second characteristic value may indicate a maximum energy change amount appearing in each candidate power pattern. The maximum energy change amount is the maximum value of the energy change amount during a unit period shorter than a predetermined period (eg, a day or a month), and the unit is Wh [watt-hour].

The processor 122 may obtain 10 accumulated energies by calculating accumulated energies from each of the first to tenth candidate power patterns. The processor 122 may determine a first characteristic value representing the normalized accumulated energy of each candidate power pattern by dividing each accumulated energy by a maximum value among 10 accumulated energies. For example, when the cumulative energies of the first to tenth candidate power patterns are 300Wh, 1000Wh, 900Wh, 700Wh, 1100Wh, 1300Wh, 1400Wh, 1500Wh, 1850Wh, and 2000Wh in order, the maximum value is 2000Wh, and thus the first to tenth candidate powers. The first characteristic value of the pattern may be sequentially determined as 0.15, 0.5, 0.45, 0.35, 0.55, 0.65, 0.7, 0.75, 0.925, and 1.

In addition, the processor 122 may obtain 10 maximum energy changes by calculating maximum energy changes from each of the first to tenth candidate power patterns. The processor 122 may determine a second characteristic value representing a normalized maximum energy change of each candidate power pattern by dividing each maximum energy change by a maximum value among 10 maximum energy changes. For example, when the maximum energy changes of the first to tenth candidate power patterns are 5Wh, 14Wh, 9Wh, 6.5Wh, 9Wh, 15.5Wh, 15Wh, 14.5Wh, 15Wh, and 20Wh in order, the maximum value is 20Wh, so that the first to tenth candidate power patterns The second characteristic values of the tenth candidate power pattern may be sequentially determined as 0.25, 0.7, 0.45, 0.325, 0.45, 0.775, 0.75, 0.725, 0.75, and 1.

The processor 122 may set two or more candidate power patterns among the plurality of candidate power patterns as the power patterns of interest based on the first and second characteristic values of each candidate power pattern.

Specifically, the processor 122 may calculate 2D coordinates corresponding to each candidate power pattern based on the first characteristic value and the second characteristic value of each candidate power pattern. Each two-dimensional coordinate indicates the position of a point spaced apart from the ordinate by a first characteristic value and from the horizontal axis by a second characteristic value in a Cartesian coordinate system. Referring to FIG. 3, 10 two-dimensional coordinates corresponding to the first to tenth candidate power patterns in order are P1 (0.15, 0.25), P2 (0.5, 0.7), P3 (0.45, 0.45), P4 (0.35, 0.325), P5 (0.55, 0.45), P6 (0.65, 0.775), P7 (0.7, 0.75), P8 (0.725, 0.775), P9 (0.925, 0.75), and P10 (1, 1).

The processor 122 calculates a density of each of a plurality of regions of the Cartesian coordinate system based on each 2D coordinate. For example, the Cartesian coordinate system may be partitioned into a total of 10 regions (R#1 to R#10) as shown in FIG. 3 .

The processor 122 may calculate the density of each region based on the number of 2D coordinates located in each of the plurality of regions R#1 to R#10. At this time, the density of each region depends on the number of 2D coordinates located in each region. Referring to FIG. 3, one 2D coordinate is located in each of the regions R#3, R#6, and R#7, and three 2D coordinates are located in the region R#4. , Since two two-dimensional coordinates are located in each of the regions R#5 and R#8, the density of the region R#4 is the highest among the 10 regions R#1 to R#10. .

The processor 122 sets each of the fifth to seventh candidate power patterns corresponding to two or more two-dimensional coordinates P5, P6, and P7 located in the region R#4 with the maximum density as the power pattern of interest. . That is, the processor 122 may determine two or more power patterns of interest from the first to tenth candidate power patterns. Hereinafter, each of the fifth to seventh candidate power patterns will be referred to as first to third power patterns of interest in order.

Processor 122 then further determines at least one new characteristic value for each power pattern of interest. For example, the new characteristic value may indicate at least one of maximum power, minimum power, and average power of each power pattern of interest. Average power can be calculated by dividing the accumulated energy by the usage period. The usage period may be a period remaining after subtracting a period in which power is maintained at 0W from the predetermined period. Of course, the new characteristic value may represent other parameters (eg, depth-of-discharge) associated with the characteristic of each power pattern of interest instead of maximum power, minimum power, and average power.

Hereinafter, for convenience of description, it is assumed that the third to fifth characteristic values are determined by the processor 122 as new characteristic values of each power pattern of interest. The third characteristic value represents maximum power, the fourth characteristic value represents minimum power, and the fifth characteristic value represents average power. The processor 122 normalizes each of the maximum power, minimum power, and average power of each power pattern of interest in the same way as the method of determining the first and second characteristic values, so that each of the third to fifth characteristic values is within a predetermined range. (e.g., 0 to 1).

The processor 122 may store first to fifth characteristic values of each power pattern of interest in the memory device. The processor 122 may calculate first to fifth average characteristic values representing average values of the first to fifth characteristic values of each power pattern of interest. For example, as described above, when the fifth to seventh candidate power patterns are sequentially set as the first to third power patterns of interest, the processor 122 determines the first characteristics of the first to third power patterns of interest. 0.7 obtained by dividing 2.1, which is the sum of values 0.65, 0.7, and 0.75, by 3, which is the number of power patterns of interest, may be calculated as the first average characteristic value associated with the first characteristic value. Similarly, the second average characteristic value may be calculated as 0.75. The third to fifth average characteristic values may also be calculated in the same manner.

The processor 122 selects one of two or more power patterns of interest as a representative power pattern based on first to fifth characteristic values and first to fifth average characteristic values of each power pattern of interest.

The processor 122 may calculate the first correlation factor of each power pattern of interest using Equation 1 below.

<Equation 1>

In Equation 1, CF1 _i is the first correlation factor of the i-th power pattern of interest, CV _{i_k} is the k-th characteristic value of the i-th power pattern of interest, and ACV _k is the k-th average characteristic value. n is the number of feature values and may be 5. That is, the first correlation factor CF1 _i of the ith power pattern of interest may be an absolute value obtained by summing the difference between each characteristic value and each average characteristic value of the ith power pattern of interest.

The processor 122 may select one of the two or more interested power patterns for which the first correlation factor is calculated to be the smallest as the representative power pattern. This is because a power pattern of interest having characteristic values that minimize a difference from average characteristic values can be regarded as most suitable for a battery test.

Alternatively, the processor 122 may select a representative power pattern in a different method instead of using Equation 1, which will be described with reference to FIG. 4 .

FIG. 4 is a graph referred to for explaining an operation of the power pattern selection device 120 shown in FIG. 1 to set a representative power pattern from a plurality of interest power patterns.

The processor 122 may process (or project) characteristic values and average characteristic values of each power pattern of interest on a Cartesian coordinate system using a radar chart. As shown in FIG. 4 , the center of the radial chart may be the same as the origin (O) of the Cartesian coordinate system. For better understanding, FIG. 4 shows an exemplary closed loop (L _i ) in which points (N _{i_1} to N _{i_5} ) corresponding to the first to fifth characteristic values of the i-th power pattern of interest are sequentially connected, and the first to fifth Only exemplary closed loops (LA) in which dots (NA ₁ to NA ₅ ) corresponding to average characteristic values are sequentially connected are shown.

The processor 122 may calculate a first matrix having components S _{i_1} , S _{i_2} , S _{i_3} , S _{i_4} , and S _{i_5} representing correlations between first to fifth characteristic values of the i-th power pattern of interest. there is. Each of the components _{Si_1} , _{Si_2} , _{Si_3} , _{Si_4} , and _{Si_5} included in the first matrix passes through two points representing two adjacent characteristic values among the first to fifth characteristic values of the ith power pattern of interest. represents the slope of a straight line. That is, when n = 1 to 4, the component S _{i_n} is a point (N _{i_n} ) corresponding to the nth characteristic value of the ith power pattern of interest and a point (N _{i_n+1} ) corresponding to the n+1th characteristic value. represents the slope of the straight line passing through Component S _{i_5} represents the slope of a straight line passing through a point (N _{i_5} ) corresponding to the fifth characteristic value of the ith power pattern of interest and a point (N _{i_1} ) corresponding to the first characteristic value. The first matrix of each of the remaining power patterns of interest may also be calculated using the same method of calculating the first matrix of the ith power pattern of interest.

Also, the processor 122 may calculate a second matrix having components SA ₁ , SA ₂ , SA ₃ , SA ₄ , and SA ₅ representing correlations between the first to fifth average characteristic values. Each of the components SA ₁ , SA ₂ , SA ₃ , SA ₄ , and SA ₅ included in the second matrix represents the slope of a straight line passing through two points representing two adjacent average characteristic values among the first to fifth average characteristic values. indicate That is, when n = 1 to 4, component SA _n is the slope of the straight line passing through the point (NA _n ) corresponding to the nth characteristic value and the point (NA _n+1 ) corresponding to the n+1th characteristic value. indicate Component SA ₅ represents the slope of a straight line passing through the point NA ₅ corresponding to the fifth characteristic value and the point NA ₁ corresponding to the first characteristic value.

The processor 122 may calculate the second correlation factor of each power pattern of interest using Equation 2 below.

<Equation 2>

In Equation 1, CF2 _i is the second correlation factor of the i-th power pattern of interest, S _{i_k} is the k-th element of the first matrix of the i-th power pattern of interest, and SA _k is the k-th element of the second matrix. n is the number of feature values and may be 5. That is, the second correlation factor CF2 _i of the ith power pattern of interest may be an absolute value obtained by summing the differences between each element of the first matrix and each element of the second matrix of the ith power pattern of interest. The processor 122 may select, as a representative power pattern, one of two or more interested power patterns, in which the second correlation factor is calculated to be the smallest.

Alternatively, the processor 122 may calculate the third correlation factor of each power pattern of interest based on CF1 _i and CF2 _i using Equation 3 below.

<Equation 3>

CF3 _i = {(1-a)× CF1 _i } + (a× CF2 _i )

In Equation 3, a is a weight and may be a predetermined constant greater than 0 and smaller than 1. That is, CF3 _i may be a weighted average of CF1 _i and CF2 _i . The processor 122 may select one of the two or more interested power patterns, for which the third correlation factor is calculated to be the smallest, as the representative power pattern.

When selection of the representative power pattern is completed, the processor 122 may output a completion message to the communication interface 121 . Accordingly, the communication interface 121 may transmit a notification signal indicating a representative power pattern to the external device 110 in response to the completion message output by the processor 122 .

FIG. 5 is a flowchart illustrating a method for selecting a representative power pattern executed by the power pattern selecting device 120 shown in FIG. 1 .

In step 500, the communication interface 121 collects a plurality of candidate power patterns from the external device 110 connected through the communication network. Each candidate power pattern represents a change in charge/discharge power for a predetermined period obtained from a battery used in a specific area.

In step 510, the processor 122 determines a first characteristic value and a second characteristic value of each candidate power pattern. For example, the first characteristic value may represent the accumulated energy of each candidate power pattern normalized to fall within a predetermined range, and the second characteristic value may represent the maximum energy variation of each candidate power pattern normalized to fall within the predetermined range.

In step 520, the processor 122 sets two or more candidate power patterns among a plurality of candidate power patterns as the power patterns of interest based on the first and second characteristic values of each candidate power pattern.

At step 530, the processor 122 further determines at least one new characteristic value for each power pattern of interest. For example, maximum power, minimum power, and average power individually normalized to fall within a predetermined range may be added as third to fifth characteristic values.

In step 540, the processor 122 calculates an average characteristic value indicating an average value of each characteristic value based on each characteristic value of each power pattern of interest. Accordingly, the number of characteristic values determined from each power pattern of interest and the number of average characteristic values are equal to each other.

In step 550, the processor 122 selects one of two or more power patterns of interest as a representative power pattern based on each characteristic value and each average characteristic value of each power pattern of interest.

In step 560, the communication interface 121 transmits a notification signal indicating a representative power pattern to the external device 110.

The embodiments of the present invention described above are not implemented only through devices and methods, and may be implemented through a program that realizes functions corresponding to the configuration of the embodiments of the present invention or a recording medium on which the program is recorded. Implementation can be easily implemented by an expert in the technical field to which the present invention belongs based on the description of the above-described embodiment.

Although the present invention has been described above with limited examples and drawings, the present invention is not limited thereto and will be described below and the technical spirit of the present invention by those skilled in the art to which the present invention belongs. Of course, various modifications and variations are possible within the scope of the claims.

In addition, since the present invention described above can be variously substituted, modified, and changed without departing from the technical spirit of the present invention to those skilled in the art, the above-described embodiments and attachments It is not limited by the drawings, but all or part of each embodiment can be configured by selectively combining them so that various modifications can be made.

110: external device
120: power pattern selection device
121: communication interface
122: processor
130: charge and discharge circuit

Claims (11)

A method for selecting a representative power pattern for a charge/discharge test of a battery,
collecting a plurality of candidate power patterns, each candidate power pattern representing a change in charge/discharge power for a predetermined period, from an external device to which a communication interface is connected through a communication network;
determining, by a processor electrically connected to the communication interface, a first characteristic value and a second characteristic value of each candidate power pattern;
setting, by the processor, at least two candidate power patterns among the plurality of candidate power patterns as at least two power patterns of interest based on the first characteristic value and the second characteristic value of each candidate power pattern;
additionally determining, by the processor, at least one new characteristic value of each power pattern of interest;
calculating, by the processor, an average characteristic value indicating an average value of each characteristic value based on each characteristic value of each power pattern of interest; and
selecting, by the processor, one of the two or more power patterns of interest as the representative power pattern based on each characteristic value and each average characteristic value of each power pattern of interest;
Including, method.
According to claim 1,
The first characteristic value represents the accumulated energy for the predetermined period of time,
The second characteristic value represents a maximum energy change amount for a unit period shorter than the predetermined period.
According to claim 1,
transmitting, by the communication interface, a notification signal indicating the representative power pattern to the external device;
Further comprising a method.
According to claim 1,
At least one new characteristic value of each power pattern of interest additionally determined by the processor,
representing at least one of maximum power, minimum power and average power.
According to claim 1,
Setting two or more candidate power patterns among the plurality of candidate power patterns as the power pattern of interest,
calculating, by the processor, a two-dimensional coordinate corresponding to each candidate power pattern based on the first characteristic value and the second characteristic value of each candidate power pattern;
calculating, by the processor, a density of each of a plurality of regions of a Cartesian coordinate system based on each of the two-dimensional coordinates; and
setting, by the processor, each of the candidate power patterns corresponding to the two-dimensional coordinates located in the region of maximum density as the power pattern of interest;
Including, method.
According to claim 5,
The density of each of the plurality of regions is,
dependent on the number of said two-dimensional coordinates located within said respective region.
According to claim 1,
The step of selecting one of the two or more interested power patterns as the representative power pattern,
summing, by the processor, a difference between each characteristic value and each average characteristic value of each power pattern of interest; and
selecting, by the processor, one of the two or more interested power patterns having the smallest absolute value of the summed difference value as the representative power pattern;
Including, method.
According to claim 1,
The step of selecting one of the two or more interested power patterns as the representative power pattern,
calculating, by the processor, a first matrix having components representing a correlation between the characteristic values of each power pattern of interest;
calculating, by the processor, a second matrix having components representing a correlation between the average characteristic values;
summing, by the processor, difference values between components included in the first matrix and components included in the second matrix of each power pattern of interest; and
selecting, by the processor, one of the two or more interested power patterns having the smallest absolute value of the summed difference value as the representative power pattern;
Including, method.
According to claim 8,
Each component included in the first matrix,
When the characteristic values are projected on an orthogonal coordinate system using a radial chart, the slope of a straight line passing through two points representing two adjacent characteristic values among the characteristic values is represented,
Each component included in the second matrix,
When the average characteristic values are projected on an orthogonal coordinate system using a radial chart, the slope of a straight line passing through two points representing two average characteristic values adjacent to each other among the average characteristic values is represented.
An apparatus for selecting a representative power pattern for a battery charge/discharge test,
a communication interface connected to an external device through a communication network and configured to collect a plurality of candidate power patterns, each candidate power pattern representing a change in charge/discharge power for a predetermined period, from the external device; and
A processor electrically coupled to the communication interface;
the processor,
determining a first characteristic value and a second characteristic value of each candidate power pattern;
Based on the first characteristic value and the second characteristic value of each candidate power pattern, two or more candidate power patterns among the plurality of candidate power patterns are set as two or more power patterns of interest;
additionally determining at least one new characteristic value of each power pattern of interest;
Calculating an average characteristic value representing an average value of each characteristic value based on each characteristic value of each power pattern of interest;
and selecting one of the two or more power patterns of interest as the representative power pattern based on each characteristic value and each average characteristic value of each power pattern of interest.
a device according to claim 10; and
a charge/discharge circuit operatively coupled to the device and configured to execute a charge/discharge test of a battery using the representative power pattern;
Including, battery test system.

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