KR102549349B1 - Method and device for obtain to battery status information - Google Patents

Abstract

According to an embodiment, determining a voltage weight indicating a slope of a discharge voltage graph indicating a change in voltage as the battery is discharged; determining a voltage bias indicating an initial value of the discharge voltage graph; determining a temperature weight representing a slope of a discharge temperature graph representing a change in temperature as the battery is discharged; determining a temperature bias indicating an initial value of the discharge temperature graph; and acquiring the state information using the voltage weight, the voltage bias, the temperature weight, and the temperature bias.

Description

Method and device for obtaining battery status information {Method and device for obtaining to battery status information}

The present disclosure relates to the technical field of obtaining information about a state according to battery discharge.

A method of obtaining state information according to battery use has been disclosed in various literatures, and an example of such a method includes a battery management system (BMS).

In the case of a conventional BMS, the remaining capacity and expected lifespan of the battery are measured by applying an SOC tracking algorithm through real-time monitoring of voltage, current, temperature, etc. of the battery.

Such a conventional BMS enables more efficient battery state management through artificial neural network training. In order to train the artificial neural network used for this, charging and discharging data based on big data of the battery to be applied are required, but local types having the same capacity and characteristics Since it is possible to train only the battery model of , there is a practical difficulty in acquiring charging and discharging big data for various types.

Recently, due to the development of various types of electronic devices and the development of related technologies, the types and characteristics of batteries applied to each electronic device have also become very diverse, and it has become very important to efficiently and accurately determine and manage the state of these batteries. has a problem that artificial intelligence-based battery management for various types of batteries is difficult.

Korean Patent Registration No. 10-1463394 (2014.11.13)

The problem to be solved in the present disclosure is to check the deterioration state of a battery during 'discharge' or 'charge' using a slope discharge curve, which is a characteristic of a secondary battery, and to determine the deterioration state of batteries having different deterioration states through a graph. Provides a method and device capable of obtaining battery state information (cell deterioration state) by calculating the optimal battery slope discharge curve and calculating the slope value by applying a linear regression algorithm based on the fact that can predict want to do

The problems to be solved in the present disclosure are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

As a technical means for achieving the above-described technical problem, a method for obtaining state information of a battery according to a first aspect of the present disclosure includes a voltage weight representing a slope of a discharge voltage graph representing a voltage change as the battery is discharged. determining; determining a voltage bias indicating an initial value of the discharge voltage graph; determining a temperature weight representing a slope of a discharge temperature graph representing a change in temperature as the battery is discharged; determining a temperature bias indicating an initial value of the discharge temperature graph; and acquiring the state information using the voltage weight, the voltage bias, the temperature weight, and the temperature bias.

The battery state information may include a state of health determined according to a ratio between a physical capacity of the battery and an available capacity of the battery.

In addition, the step of determining the recovery voltage of the battery obtained after the battery is discharged and reaches the discharge end voltage; further comprising, the step of obtaining the state information; the state information using the recovery voltage can be obtained

In addition, the obtaining of the state information may determine the battery deterioration state of the battery based on weights given high in the order of the voltage weight, the voltage bias, the temperature weight, the temperature bias, and the recovery voltage. .

Also, the voltage weight may be corrected according to an average current value as the battery is discharged.

Also, the discharge voltage graph and the discharge temperature graph may be determined based on a least squares method.

According to a second aspect of the present disclosure, a device for acquiring state information of a battery may include a first measurement value for a voltage change as the battery is discharged and a second measurement value for a temperature change as the battery is discharged. a receiving unit that obtains; and determining a voltage weight representing a slope of a discharge voltage graph representing a voltage change as the battery is discharged based on the first measurement value, and determining an initial value of the discharge voltage graph based on the first measurement value. Determines a voltage bias representing , based on the second measurement value, determining a temperature weight representing a slope of a discharge temperature graph representing a change in temperature as the battery is discharged, based on the second measurement value, and a processor configured to determine a temperature bias indicating an initial value of the discharge temperature graph and obtain the state information using the voltage weight, the voltage bias, the temperature weight, and the temperature bias.

In addition to this, other specific details are included in the detailed description and drawings.

According to an embodiment of the present disclosure, deterioration states of batteries having different deterioration states may be predicted.

The effects of the present disclosure 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 below.

1 is a block diagram schematically illustrating a configuration of a device for obtaining battery state information according to an exemplary embodiment.
2 is a flowchart illustrating each step of operating a device for obtaining battery state information according to an exemplary embodiment.
3 is a discharge voltage graph showing a change in voltage as a battery is discharged according to an exemplary embodiment.
4 is a modeled discharge voltage graph according to an embodiment.
5 is a graph of a modeled discharge temperature according to an embodiment.

Advantages and features in the present disclosure, and methods for achieving them will become clear with reference to embodiments described later in detail in conjunction with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below and may be implemented in various different forms, only the present embodiments are intended to make the disclosure complete, and the scope of the present disclosure to those skilled in the art belonging to the technical field. It is provided to fully inform you.

Terminology used in this specification is for describing embodiments and is not intended to limit the present disclosure. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. As used herein, "comprises" and/or "comprising" does not exclude the presence or addition of one or more other elements other than the recited elements. Like reference numerals throughout the specification refer to like elements, and “and/or” includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various components, these components are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first element mentioned below may also be the second element within the technical spirit of the present disclosure.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

The spatially relative terms "below", "beneath", "lower", "above", "upper", etc. It can be used to easily describe a component's correlation with other components. Spatially relative terms should be understood as encompassing different orientations of elements in use or operation in addition to the orientations shown in the drawings. For example, if you flip a component that is shown in a drawing, a component described as "below" or "beneath" another component will be placed "above" the other component. can Thus, the exemplary term “below” may include directions of both below and above. Components may also be oriented in other orientations, and thus spatially relative terms may be interpreted according to orientation.

Hereinafter, embodiments will be described in detail with reference to the drawings.

1 is a block diagram schematically illustrating a configuration of a device 100 for obtaining battery state information according to an exemplary embodiment.

In one embodiment, the device 100 (hereinafter, referred to as 'device 100') obtaining state information of a battery may include a receiver 110 and a processor 120.

The receiving unit 110 according to an embodiment may obtain a first measurement value for a voltage change amount as the battery is discharged and a second measurement value for a temperature change amount as the battery is discharged.

The processor 120 according to an embodiment determines a voltage weight indicating a slope of the discharge voltage graph 300 representing a voltage change as the battery is discharged based on the first measurement value, and determines a voltage weight based on the first measurement value. to determine a voltage bias indicating an initial value of the discharge voltage graph 300, and based on the second measurement value, to determine a temperature weight indicating a slope of the discharge temperature graph indicating a change in temperature as the battery is discharged, Based on the second measured value, a temperature bias indicating an initial value of the discharge temperature graph may be determined, and state information may be obtained using the voltage weight, the voltage bias, the temperature weight, and the temperature bias.

In addition, those skilled in the art can understand that other general-purpose components other than the components shown in FIG. 1 may be further included in the device 100 . For example, the device 100 may further include a memory (not shown) for storing voltage weights, voltage biases, temperature weights, and temperature biases. Alternatively, in the case of other embodiments, those skilled in the art may understand that some of the components shown in FIG. 1 may be omitted.

The device 100 according to an embodiment may be used by a user or a worker, and is equipped with a touch screen panel such as a mobile phone, a smart phone, a personal digital assistant (PDA), a portable multimedia player (PMP), a tablet PC, and the like. It can be interlocked with a variety of handheld-based wireless communication devices, and in addition to desktop PCs, tablet PCs, laptop PCs, and IPTVs including set-top boxes, devices with a base capable of installing and running applications Can be included or interlocked.

The device 100 may be implemented as a terminal such as a computer that operates through a computer program for realizing the functions described in this specification.

Device 100 according to an embodiment may include a system (not shown) for acquiring and providing battery state information and a related server (not shown), but is not limited thereto. A server according to an embodiment may support a service for obtaining and providing battery state information and an application related thereto.

In the following description, the device 100 according to an embodiment will focus on an embodiment in which battery state information is obtained independently, but as described above, it may be performed through interworking with a server. That is, it can be seen that the device 100 and the server according to an embodiment may be integrated and implemented in terms of their functions, and the server may be omitted, and is not limited to any one embodiment.

2 is a flowchart illustrating each step in which the device 100 for obtaining battery state information according to an exemplary embodiment operates.

For a description of each step shown in FIG. 2, it will be described with reference to FIGS. 3 to 5 together.

FIG. 3 is a discharge voltage graph 300 showing a voltage change as a battery is discharged according to an embodiment, FIG. 4 is a modeled discharge voltage graph 400 according to an embodiment, and FIG. 5 is an embodiment. It is the discharge temperature graph 500 modeled according to.

In step S210 , the device 100 may determine a voltage weight representing a slope of the discharge voltage graph 300 representing a voltage variation as the battery is discharged.

For example, the device 100 may obtain a first measurement value for a voltage variation as the battery is discharged, and determine a voltage weight based on the obtained first measurement value.

Referring to the drawing, a voltage weight, which is a slope of a discharge voltage indicating a voltage change as the battery is discharged, may appear as shown in FIGS. 3 and 4 .

In one embodiment, the voltage weight may be corrected according to an average current value as the battery is discharged, for example.

Specifically, the larger or smaller the average current value, the larger or smaller the voltage drop due to discharge may appear, and accordingly the slope may also appear larger or smaller. When the device 100 measures the battery state information, the voltage weight may be corrected by changing the average current value.

In step S220, the device 100 may determine a voltage bias indicating an initial value of the discharge voltage graph 300. The device 100 may determine the voltage bias based on the first measurement value.

The voltage bias representing the initial value of the discharge voltage graph 300 may be shown as shown in FIGS. 3 and 4 .

In operation S230, the device 100 may determine a temperature weight indicating a slope of a discharge temperature graph indicating a change in temperature as the battery is discharged.

For example, the device 100 may obtain a second measurement value for a change in temperature as the battery is discharged, and determine a temperature weight based on the obtained second measurement value.

This temperature weight may be corrected according to, for example, an average current value as the battery is discharged.

In general, basic deterioration occurs during discharging of the battery. As the average current value increases or decreases, the size of the load changes according to the size of the discharged current, and thus the deterioration occurs differently. As a result, the temperature weight also It may appear large or small. When the device 100 measures the battery state information, the temperature weight may be corrected by changing the average current value.

In step S240, the device 100 may determine a temperature bias indicating an initial value of the discharge temperature graph. The device 100 may determine the temperature bias based on the second measurement value.

A temperature bias indicating an initial value of the discharge temperature graph may appear as shown in FIG. 5 .

In an embodiment, the discharge voltage graph 300 and the discharge temperature graph may be determined based on a least squares method. The graph determined according to the least squares method may be the modeled discharge voltage graph 400 and the discharge temperature graph.

In an embodiment, the device 100 calculates the discharge voltage value and the discharge voltage value and the discharge voltage value using the voltage weight and the temperature weight, which are the slopes of the linear function for the discharge voltage graph 300 and the discharge temperature graph, and the voltage bias and the temperature bias, which are the y-intercepts. A temperature value may be obtained, and a modeled discharge voltage graph 400 and a discharge temperature graph may be obtained. The modeled discharge voltage graph 400 and discharge temperature graph may appear as shown in FIGS. 4 and 5 .

For example, the least squares method is a method of approximately obtaining the liberation equation of a certain system, and may be a method of obtaining a solution in which the sum of the squares of errors between the approximate solution and the actual solution is minimized. This least squares method is a method that has been disclosed and used in the prior art, and in this disclosure, in order to clarify only the main configuration, detailed descriptions thereof will be omitted, and only related formulas will be briefly described.

* Calculate the coefficient with the smallest difference between the actual value (y) and the predicted value by hypothesis (y_hat)

일 때,

,

*

when,

,

* Calculate x_bar (x average), y_bar (y average)

* Calculate the coefficient value of w

* calculated_weight = ((x-x_bar))*(y-y_bar)).sum() / ((x-x_bar)**2).sum()

* Calculate the coefficient value of b

* calculated_bias=y_bar-calculated_weight*x_bar

In step S250, the device 100 may obtain state information using the voltage weight, voltage bias, temperature weight, and temperature bias.

In an embodiment, the battery state information may include a state of health determined according to a ratio between a physical capacity of the battery and an available capacity of the battery.

The device 100 measures and uses such a battery deterioration state, that is, S.o.H, to more effectively predict the power consumption of the battery, predict the deterioration state and state of charge, and predict the thermal runaway phenomenon in advance, and big data for this information The prediction accuracy of corresponding information can be greatly improved by using the learning result.

In particular, since the S.o.H method can be applied to various types of batteries, not limited to one type of battery, the accuracy, convenience, and scalability of battery management technology can be greatly improved.

FIG. 3 is a discharge voltage graph 300 showing a voltage change amount as a battery is discharged according to an exemplary embodiment.

Referring to the figure, the graph shows a curve in which the voltage curve rises again after the battery is discharged and reaches the discharge end voltage.

When this rising curve reaches a specific end-of-discharge voltage according to the discharge of the battery, the related battery management system is designed to cut off the external load in order to limit the over-discharge of the battery. A voltage rise curve after such load shedding may indicate a recovery voltage of the battery.

Then, the device 100 may determine state information of the battery using the voltage weight, voltage bias, temperature weight, temperature bias, and recovery voltage.

In an embodiment, the device 100 may determine a battery deterioration state of a battery based on weights that are high in the order of a voltage weight, a voltage bias, a temperature weight, a temperature bias, and a recovery voltage.

For example, the voltage weight may be given the highest weight because it most directly represents the amount of voltage change due to discharge.

In addition, since the discharge weight value may vary according to the initial value of the discharge voltage graph 300, a secondary high weight may be assigned to the voltage bias.

In addition, the temperature weight directly indicates the temperature change amount due to discharge, but in most measurement environments, the temperature change width is relatively narrow, so that the temperature weight is slightly less important than the voltage. can

In addition, the temperature weight value may vary according to the initial value of the discharge temperature graph, but similarly, since the measurement of the battery deterioration state is slightly less important than the voltage, the temperature bias may be given a higher weight in the 4th order.

In addition, it can be seen that the lower the recovery voltage is, the better the characteristics of the battery deterioration, but in that it appears similarly at a constant rate in most batteries, a high weight in the 5th order can be given to the recovery voltage.

The device 100 obtains state information (battery deterioration state) based on the weights given in different sizes, thereby predicting the deterioration states of batteries having different deterioration states.

In another embodiment, when the state information of the battery is acquired when the ambient temperature is equal to or greater than a preset temperature, weights to be assigned may be differently determined.

For example, when the temperature of the surrounding environment at which the battery state information is obtained is higher than or lower than a preset temperature, the effect of the ambient temperature on the discharging battery may increase. In this case, when the battery is discharged, deterioration may appear more clearly, and this may have a relatively large effect on the battery state.

Accordingly, when the ambient temperature is equal to or greater than or equal to the preset temperature, the device 100 may assign high weights to the temperature weight, temperature bias, voltage weight, voltage bias, and recovery voltage in the order of, and based on the assigned weights, status information can be obtained.

For example, when the ambient temperature is high, the highest weight may be given to the temperature weight in that a temperature gradient due to discharge may appear relatively large and thus has a large effect on state information.

In addition, since the initial value of the discharge temperature graph is also determined to be a higher value as the ambient temperature is higher, the temperature bias can be given a second higher weight in that it can have a relatively large effect on the magnitude of the discharge voltage to be measured. .

In addition, since the efficiency of a battery generally changes when the temperature is high or low depending on the ambient temperature, high weights may be assigned to the voltage weight in the third order and the voltage bias in the fourth order.

Thereafter, the device 100 may determine state information, that is, a battery deterioration state, based on the weights assigned as described above. In this way, the device 100 can obtain accurate deterioration state information on a plurality of batteries suitable for a change in ambient temperature by differently determining the size of the weight applied when the ambient temperature is higher than or lower than the preset temperature.

4 is a modeled discharge voltage graph 400 according to an embodiment.

In one embodiment, the device 100 may determine the modeled discharge voltage graph 400 based on the least squares method.

For example, the device 100 is a discharge voltage graph 400 modeled using a voltage weight, which is a slope of a linear function for the discharge voltage graph 300 shown in FIG. 3, and a voltage bias, which is a y-intercept, and a discharge temperature graph can be obtained.

Since the content of determining the discharge voltage graph 400 modeled using the least squares method has been previously disclosed, a detailed description thereof will be omitted in the present disclosure to clarify only the main configuration.

5 is a modeled discharge temperature graph 500 according to an embodiment.

In an embodiment, the device 100 may determine the modeled discharge temperature graph 500 based on the least squares method.

For example, the device 100 may obtain the discharge temperature graph 500 modeled by using a temperature weight, which is a slope of a linear function with respect to the discharge temperature graph, and a temperature bias, which is a y-intercept.

Since the content of determining the discharge temperature graph 500 modeled using the least squares method has been previously disclosed, a detailed description thereof will be omitted in the present disclosure to clarify only the main components.

Various embodiments of the present disclosure are implemented as software including one or more instructions stored in a storage medium (eg, memory) readable by a machine (eg, a display device or a computer). It can be. For example, the processor 120 (eg, processor 120) of the device may call at least one of one or more instructions stored from a storage medium and execute it. This enables the device to be operated to perform at least one function according to the invoked at least one instruction. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-temporary' only means that the storage medium is a tangible device and does not contain signals (e.g., electromagnetic waves), and this term refers to the case where data is stored semi-permanently in the storage medium. It does not discriminate when it is temporarily stored.

According to one embodiment, the method according to various embodiments disclosed in the present disclosure may be included and provided in a computer program product. Computer program products may be traded between sellers and buyers as commodities. A computer program product is distributed in the form of a device-readable storage medium (e.g. compact disc read only memory (CD-ROM)), or through an application store (e.g. Play Store™) or on two user devices (e.g. It can be distributed (eg downloaded or uploaded) online, directly between smartphones. In the case of online distribution, at least part of the computer program product may be temporarily stored or temporarily created in a device-readable storage medium such as a manufacturer's server, an application store server, or a relay server's memory.

Those skilled in the art related to this embodiment will be able to understand that it can be implemented in a modified form within a range that does not deviate from the essential characteristics of the above description. Therefore, the disclosed methods are to be considered in an illustrative rather than a limiting sense. The scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the equivalent scope will be construed as being included in the present invention.

100: device acquiring battery status information
110: receiver 120: processor
300: discharge voltage graph
400: modeled discharge voltage graph
500: modeled discharge temperature graph

Claims (7)

A method for obtaining battery state information,
determining a voltage weight indicating a slope of a discharge voltage graph indicating a change in voltage as the battery is discharged;
determining a voltage bias indicating an initial value of the discharge voltage graph;
determining a temperature weight representing a slope of a discharge temperature graph representing a change in temperature as the battery is discharged;
determining a temperature bias indicating an initial value of the discharge temperature graph; and
Acquiring the state information using the voltage weight, the voltage bias, the temperature weight, and the temperature bias;
The voltage weight is corrected according to an average current value as the battery is discharged.
According to claim 1,
The method further comprising determining a state of health based on the state information of the battery.
According to claim 2,
Determining a recovery voltage of the battery obtained after the battery is discharged and reaches a discharge end voltage; further comprising,
The acquiring of the state information; obtains the state information using the recovery voltage.
According to claim 3,
Obtaining the status information
The method of determining the battery deterioration state of the battery based on weights given high in the order of the voltage weight, the voltage bias, the temperature weight, the temperature bias, and the recovery voltage.
delete According to claim 1,
Wherein the discharge voltage graph and the discharge temperature graph are determined based on a least squares method.
In the device for obtaining the state information of the battery,
a receiver configured to obtain a first measurement value for a voltage variation as the battery is discharged and a second measurement value for a temperature variation as the battery is discharged; and
Based on the first measured value, determining a voltage weight representing a slope of a discharge voltage graph representing a change in voltage as the battery is discharged;
Based on the first measured value, determining a voltage bias indicating an initial value of the discharge voltage graph;
Based on the second measured value, determining a temperature weight representing a slope of a discharge temperature graph representing a change in temperature as the battery is discharged;
Based on the second measured value, determining a temperature bias representing an initial value of the discharge temperature graph;
A processor for obtaining the state information using the voltage weight, the voltage bias, the temperature weight, and the temperature bias;
The device, wherein the voltage weight is corrected according to an average current value as the battery is discharged.

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