KR102309374B1 - Method for monitoring abnormal conditions to prevent the spread of fire in energy storage devices and recording medium storing program for executing the same, and computer program stored in recording medium for executing the same - Google Patents

Abstract

The present invention relates to a method for monitoring abnormal conditions to prevent the spread of fire in energy storage devices, a recording medium storing program for executing the same, and a computer program stored in the recording medium for executing the same. More particularly, it relates to a method for monitoring abnormal conditions to prevent the spread of fire in energy storage devices that that derives a plurality of risk indices based on information that can be collected from the energy storage devices, and combines them to determine conditions that need to be checked, a recording medium storing program for executing the same, and a computer program stored in recording medium for executing the same.

Description

A method for monitoring an abnormal state to prevent the spread of fire in an energy storage device, a recording medium storing a program for implementing the same, and a computer program stored in the medium for implementing the same MEDIUM STORING PROGRAM FOR EXECUTING THE SAME, AND COMPUTER PROGRAM STORED IN RECORDING MEDIUM FOR EXECUTING THE SAME}

The present invention relates to an abnormal state monitoring method for preventing the spread of fire in an energy storage device, a recording medium storing a program for implementing the same, and a computer program stored in the medium for implementing the same, and more particularly, information collectable from the energy storage device A method for monitoring an abnormal condition for preventing the spread of fire in an energy storage device that derives a plurality of risk indices based on the And it relates to a computer program stored in a medium to implement the same.

Various attempts are being made to detect and avoid the worst case at the time when battery fire accidents occur frequently.

The causes of accidents can be divided into insufficient battery protection system against electric shock, insufficient management of the operating environment, negligence in installation, insufficient ESS integrated control, and insufficient protection system.

In order to solve this problem, related research is being conducted centered on manufacturers, such as reinforcement of existing solutions, and it is time to find a way to monitor the entire system.

Although it is possible to quickly extinguish a fire or prevent the spread of fire through simple hardware and firefighting facilities, there is a problem in that damage occurs after a fire has already occurred.

In order to prevent the spread of fire in the energy storage device, the most important thing is to determine the possibility of a fire in advance and notify the risk in advance. For accurate prediction, there is a problem in that the number of sensors to be installed increases, and management difficulties occur accordingly.

Korean Patent [10-1839429] discloses a power conditioning system for ESS with UHF insulation deterioration and vibration and temperature and humidity monitoring and diagnosis functions.

Korean Patent Registration [10-1839429] (Registration Date: March 12, 2018)

Therefore, the present invention has been devised to solve the above problems, and an object of the present invention is to derive a plurality of risk indices based on information that can be collected from an energy storage device, and synthesize them to solve a situation requiring state inspection. To provide a method for monitoring an abnormal state for preventing the spread of fire in an energy storage device that provides information that can be determined, a recording medium storing a program for implementing the same, and a computer program stored in the medium for implementing the same.

The purpose of the embodiments of the present invention is not limited to the above-mentioned purpose, and other objects not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. .

The abnormal state monitoring method for preventing the spread of fire in an energy storage device according to an embodiment of the present invention for achieving the above object is an energy storage device fire in the form of a program executed by an arithmetic processing means including a computer. In the abnormal state monitoring method for prevention of proliferation, an information collection step of collecting information on a plurality of factors selected from among rack current, rack voltage, SOC (State Of Charge), battery temperature, internal temperature, humidity and module voltage ( S10); Multiple selected from rack voltage risk, output risk, temperature risk, condensation risk, current voltage (CNV) risk, unbalance risk, current risk, and module voltage risk based on the information about the factors collected in the information collection step (S10) A risk index extraction step of deriving a risk index of (S20); and an information providing step (S30) of calculating a composite index that sums all the risk indices derived in the risk index extraction step (S20) and providing information that can determine whether a status check is necessary based on the composite index characterized in that

In addition, the risk index extraction step (S20) is

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

Derive the risk index of the rack voltage risk by

As the input value at the time t

next expression

는 n 번째 랙의 t시점에서의 전압값을 의미한다.)(here,

is the voltage value at time t of the nth rack.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 한다.calculated by

It is characterized in that the value is used as an input value at time t.

In addition, the risk index export step (S20) is

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

The risk index of the output risk is derived by

As the input value at the time t

next expression

는 k 번째 랙의 배분율값,

는 k 번째 랙의 t시점에서의 전압값,

는 k 번째 랙의 t시점에서의 전류값을 의미한다.)(here,

is the distribution ratio of the k-th rack,

is the voltage value at time t of the k-th rack,

is the current value at time t of the k-th rack.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 한다.calculated by

It is characterized in that the value is used as an input value at time t.

In addition, the risk index extraction step (S20) is

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

The risk index of the temperature risk is derived by

As the input value at the time t

next expression

는 t 시점에서의 최대온도,

는 t 시점에서의 최소온도를 의미한다.)(here,

is the maximum temperature at time t,

is the minimum temperature at time t.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 한다.calculated by

It is characterized in that the value is used as an input value at time t.

In addition, the risk index export step (S20) is

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

Derive the risk index of the condensation risk by

As the input value at the time t

next expression

는 t시점에서의 온도를 의미한다.)(here,

is the temperature at time t.)

값을 t시점에서의 입력값으로 사용하고, t시점에서의 이슬점 값을 입력값 구간의 하한치(

)로 사용하는 것을 특징으로 한다.calculated by

The value is used as the input value at time t, and the dew point value at time t is the lower limit (

) is used as

In addition, the risk index extraction step (S20) is

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

Derive the risk index of the current voltage (CNV) risk by

As the input value at the time t

next expression

는 t 시점에서의 i 번째 랙의 최대전압과 최소전압 차를 의미하고,

는 t 시점에서의 i 번째 랙의 최대전류와 최소전류 차를 의미한다.)(here,

is the difference between the maximum voltage and the minimum voltage of the i-th rack at time t,

denotes the difference between the maximum current and the minimum current of the i-th rack at time t.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 한다.calculated by

It is characterized in that the value is used as an input value at time t.

In addition, the risk index export step (S20) is

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

Derive the risk index of the unbalanced risk by

As the input value at the time t

next expression

(Here, the current unbalance t means the unbalance value obtained by dividing the difference between the maximum current value and the minimum current value at time t by the average current value, and the voltage unbalance t is the difference between the maximum voltage value and the minimum voltage value at time t as the voltage average value. It means the divided unbalance value, and SOC imbalance t means the unbalance value obtained by dividing the difference between the maximum SOC value and the minimum SOC value at time t by the SOC average value.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 한다.calculated by

It is characterized in that the value is used as an input value at time t.

In addition, the risk index extraction step (S20) is

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

Derive the risk index of the current risk by

As the input value at the time t

next expression

는 n 번째 랙의 전류값,

는 t 시점에서의 랙의 최대 전류값,

는 t 시점에서의 n 번째 랙의 전류값을 의미한다.)(here,

is the current value of the nth rack,

is the maximum current value of the rack at time t,

is the current value of the nth rack at time t.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 한다.calculated by

It is characterized in that the value is used as an input value at time t.

In addition, the risk index export step (S20) is

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

The risk index of the module voltage risk is derived by

As the input value at the time t

next expression

는 t 시점에서의 m 번째 랙의 모듈 최대전압값,

는 t 시점에서의 m 번째 랙의 모듈 최소전압값을 의미한다.)(here,

is the module maximum voltage value of the mth rack at time t,

is the module minimum voltage value of the mth rack at time t.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 한다.calculated by

It is characterized in that the value is used as an input value at time t.

In addition, according to an embodiment of the present invention, a computer-readable recording medium storing a program for implementing the abnormal state monitoring method for preventing the spread of fire in the energy storage device is provided.

In addition, according to an embodiment of the present invention, in order to implement the abnormal state monitoring method for preventing the spread of fire in the energy storage device, a program stored in a computer-readable recording medium is provided.

According to the abnormal state monitoring method for preventing the spread of fire in an energy storage device according to an embodiment of the present invention, a plurality of risk indices are derived based on information that can be collected from an energy storage device (ESS), and state inspection is performed by synthesizing them. By providing information to determine a necessary situation, there is an effect of preventing a fire accident of an energy storage device in advance without additional equipment.

In addition, it is possible to monitor the state of the battery, and based on this, it notifies a situation requiring a state check, and the system can be stopped in case of an emergency, which is more effective in preventing fire accidents in advance.

1 is a flowchart of an abnormal state monitoring method for preventing the spread of fire in an energy storage device according to an embodiment of the present invention;
2 is an exemplary view showing an example of visually expressing the risk index and the comprehensive index of the abnormal state monitoring method for preventing the spread of fire in the energy storage device according to an embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention.

When a component is referred to as being “connected” or “connected” to another component, it is understood that the other component may be directly connected or connected to the other component, but other components may exist in between. it should be

On the other hand, when it is mentioned that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle.

The terms used herein are used only to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, process, operation, component, part, or combination thereof described in the specification exists, but one or more other features It is to be understood that this does not preclude the existence or addition of numbers, processes, operations, components, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings. Prior to this, the terms or words used in the present specification and claims should not be construed as being limited to conventional or dictionary meanings, and the inventor should properly understand the concept of the term in order to best describe his invention. Based on the principle that can be defined, it should be interpreted as meaning and concept consistent with the technical idea of the present invention. In addition, if there is no other definition in the technical terms and scientific terms used, it has the meaning commonly understood by those of ordinary skill in the art to which this invention belongs, and the summary of the present invention in the following description and accompanying drawings Descriptions of known functions and configurations that may be unnecessarily obscure will be omitted. The drawings introduced below are provided as examples in order to sufficiently convey the spirit of the present invention to those skilled in the art. Accordingly, the present invention is not limited to the drawings presented below and may be embodied in other forms. Also, like reference numerals refer to like elements throughout. It should be noted that the same components in the drawings are denoted by the same reference numerals wherever possible.

1 is a flowchart of an abnormal state monitoring method for preventing fire spread in an energy storage device according to an embodiment of the present invention, and FIG. 2 is an abnormal state monitoring method for preventing fire spread in an energy storage device according to an embodiment of the present invention. This is an example diagram showing an example of visually expressing the risk index and composite index of

As shown in FIG. 1, the abnormal state monitoring method for preventing fire spread in an energy storage device according to an embodiment of the present invention is in the form of a program executed by an arithmetic processing means including a computer to prevent fire spread in an energy storage device. In the abnormal state monitoring method for, it includes an information collection step (S10), a risk index extraction step (S20) and an information provision step (S30).

The information collection step (S10) collects information on a plurality of factors selected from among rack current, rack voltage, state of charge (SOC), battery temperature, internal temperature, humidity, and module voltage.

A module is composed based on the cell, which is the basic unit that composes a battery, and a rack is composed by stacking the composed modules again. system), and the corresponding command can be made through the PMS (Power management system).

The information of the PMS may be transmitted through communication through a battery management system (BMS).

The BMS has voltage information on the battery rack, and the EMS (Energy Management System) can know the information about the value through the PMS or directly.

The sensors used to collect the factors and the like utilize resources previously installed in the energy storage device. That is, it is possible to inform the risk of fire, etc. prior to the occurrence of an accident by using data from the existing environment without installing additional sensors.

The risk index extraction step (S20) is based on the information about the factors collected in the information collection step (S10), the rack voltage risk, the output risk, the temperature risk, the condensation risk, the current voltage (CNV) risk, the unbalance risk, the current risk and a plurality of risk indices selected from among the module voltage risks are derived.

The information providing step (S30) provides information that can determine whether a condition check is necessary based on the composite index by calculating a composite index that sums all the risk indexes derived in the risk index extraction step (S20). (FIG. 2 Reference)

When rack voltage risk, output risk, temperature risk, condensation risk, current voltage (CNV) risk, unbalance risk, current risk, and module voltage risk are all used as risk index, the overall index is given by the following formula

can be calculated by

If the composite index is less than 400%, it can be displayed as Normal, and if it is more than 400%, it can be displayed as Warning.

In addition, when the time for which the composite index is displayed as a risk lasts for more than a certain period of time (eg, 2 seconds), it can be displayed as an emergency.

Anomaly detection should promote system safety through immediate situation recognition, but there are many difficulties in accurate condition analysis of batteries with physicochemical characteristics. As a solution, an abnormal state monitoring method for preventing the spread of fire in an energy storage device according to an embodiment of the present invention was developed.

In the information providing step (S30) of the abnormal state monitoring method for preventing the spread of fire in the energy storage device according to an embodiment of the present invention, the PMS or EMS forcibly stops the operation of the ESS when the risk index or the comprehensive index is greater than or equal to a specified value, You can request a status check.

The abnormal state monitoring method for preventing the spread of fire in an energy storage device according to an embodiment of the present invention is a rack voltage risk, an output risk, a temperature risk, a condensation risk, a current voltage (CNV) risk, an unbalance risk, a current risk, and a risk index. When all of the module voltage risk levels are used, it is to provide information that can determine whether the battery status check is necessary based on the information on the eight risk indexes derived from the seven factors that can be collected from the energy storage device. In more detail, it collects information on a total of 7 factors, including rack current, rack voltage, SOC, battery temperature, internal temperature, humidity, and module voltage, that can be collected from the energy storage device, and based on the information on the 7 factors, the rack voltage Risk, output risk, temperature risk, condensation risk, CNV risk, unbalance risk, current risk, and module voltage risk are derived from a total of eight risk indexes, and a comprehensive index is calculated based on the eight risk indexes. It is to provide information that can be used to determine whether a status check is necessary.

In other words, the rack voltage risk, output risk, CNV risk, unbalance risk, current risk, and module voltage risk are derived based on factors (information) about current and voltage, and based on environmental factors (temperature, humidity, etc.) By deriving the temperature risk and condensation risk, it is possible to monitor the battery status from a more diverse perspective.

That is, it is possible to monitor the state of the battery, and based on this, it is possible to notify a situation requiring a state check, and to stop the system in case of an emergency, thereby preventing a fire accident in advance.

The risk index extraction step (S20) of the abnormal state monitoring method for preventing the spread of fire in the energy storage device according to an embodiment of the present invention

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

The risk index of the rack voltage risk is derived by

This is to apply a fuzzy membership function to deal with the uncertainty of the boundary of the acceptance criteria of each element, and to set the effective degree of membership, it is processed using the S-shaped membership function proposed by Dombi. . This method has the advantage that the user can set the desired degree of affiliation by adjusting the coefficient. If data is accumulated in the future and abnormal situations are detected, a clear coefficient value for management can be derived.

값이 커지면 기울기가 급격(sharp)해지며 굴절점

값이 커지면 소속함수의 중심점이 오른쪽으로 이동하는 특징을 지닌다. 따라서 곡선 기울기

와 굴절점

을 원하는 조정하여 특정 측정치에 따른 위험치 기댓값을 사용자가 결정할 수 있게 된다. curve slope

As the value increases, the slope becomes sharp and the point of refraction

As the value increases, the center point of the membership function moves to the right. So the slope of the curve

and point of refraction

By adjusting as desired, the user can determine the expected risk value according to a specific measurement.

Each of the coefficients used in the above formula are arbitrary values, and suitable values can be found and applied through demonstration according to the installation environment and surrounding conditions.

If the risk index of the rack voltage risk is higher than the specified value, the PMS or EMS may forcibly stop the operation of the ESS and request a status check.

At this time, as the input value at the time t

next expression

는 n 번째 랙의 t시점에서의 전압값을 의미한다.)(here,

is the voltage value at time t of the nth rack.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 할 수 있다.calculated by

It may be characterized in that the value is used as an input value at time t.

That is, the input value is determined based on the rack voltage, and the risk index of the rack voltage risk can be derived based on this, and this can be monitored.

At this time, it is desirable to monitor the voltage difference between the racks for all systems connected in parallel.

This flow of information is based on the data managed by the BMS, and this data can be visualized with the EMS via the PMS or via the EMS or PMS.

If the lower limit of the voltage difference between racks is 0, the upper limit of the voltage difference between racks is 3, the slope is 0.5, and the inflection point is 0.5, if the current voltage difference between the racks is 3V, the risk index of the rack voltage risk is You will notice that 100% is a very fatal value.

Here, the voltage difference between the current racks is based on the information obtained through the BMS data, assuming the maximum difference between the nearby voltages, and the unit is the voltage. In addition, each of the applied coefficients can be applied by finding an appropriate value through experimentation with arbitrary values.

Voltage deviation may occur when balancing between battery racks, but if such deviation occurs during normal operation, it can be detected that an abnormality has occurred in the corresponding rack.

An abnormality in a cell, an abnormality in a module, or an abnormality in a rack results in a voltage value, and this value causes a difference with the voltage of a nearby rack.

If this phenomenon continues, the battery may cause a thermal runaway phenomenon, which may result in a fire.

Normal state means that there is no voltage difference between racks, and if the voltage drop as much as the corresponding voltage occurs due to an abnormality in the modules constituting the rack (internal cell abnormality), the risk index of the rack voltage risk is an abnormal value. It is reflected in the range and can be recognized.

However, since a voltage difference may occur instantaneously when the operation mode is changed (charge ↔ discharge, charge ↔ standby, discharge ↔ standby), it is desirable to recognize the continuous voltage difference.

For this purpose, it is desirable to set it so that it becomes an alarm when it lasts for about 3 to 7 seconds.

If the risk index of the rack voltage risk is less than 30%, it can be displayed as Normal, if it is 30% or more and less than 40%, it is Warning, and if it is 40% or more, it is displayed as Emergency.

The risk index extraction step (S20) of the abnormal state monitoring method for preventing the spread of fire in the energy storage device according to an embodiment of the present invention

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

The risk index of the output risk is derived by

This is to apply a fuzzy membership function to deal with the uncertainty of the boundary of the acceptance criteria of each element, and to set the effective degree of membership, it is processed using the S-shaped membership function proposed by Dombi. This method has the advantage that the user can set the desired degree of affiliation by adjusting the coefficient. If data is accumulated in the future and abnormal situations are detected, a clear coefficient value for management can be derived.

값이 커지면 기울기가 급격(sharp)해지며 굴절점

값이 커지면 소속함수의 중심점이 오른쪽으로 이동하는 특징을 지닌다. 따라서 곡선 기울기

와 굴절점

을 원하는 조정하여 특정 측정치에 따른 위험치 기댓값을 사용자가 결정할 수 있게 된다. curve slope

As the value increases, the slope becomes sharp and the point of refraction

As the value increases, the center point of the membership function moves to the right. So the slope of the curve

and point of refraction

By adjusting as desired, the user can determine the expected risk value according to a specific measurement.

Each of the coefficients used in the above formula are arbitrary values, and suitable values can be found and applied through demonstration according to the installation environment and surrounding conditions.

If the risk index of the output risk is higher than the specified value, the PMS or EMS may forcibly stop the operation of the ESS and request a status check.

At this time, as the input value at time t

next expression

는 k 번째 랙의 배분율값,

는 k 번째 랙의 t시점에서의 전압값,

는 k 번째 랙의 t시점에서의 전류값을 의미한다.)(here,

is the distribution ratio of the k-th rack,

is the voltage value at time t of the k-th rack,

is the current value at time t of the k-th rack.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 할 수 있다.calculated by

It may be characterized in that the value is used as an input value at time t.

To set the input of the dombi function, calculate the c-rate ratio for each rack based on the product of the voltage and current for each rack and the total power, and set the maximum and minimum values of the calculated values. Calculate and use the difference between

Battery racks connected in parallel must be operated at the same C-rate.

C-rate refers to the ratio of the charging and discharging current to the battery capacity. In other words, it is a unit for predicting or indicating the current value setting and the usable time of the battery under various usage conditions during charging and discharging of the battery. The unit of C-rate is C.

To calculate the current value according to the charge/discharge rate, the charge/discharge current value is calculated by dividing the charge or discharge current by a value obtained by subtracting the unit of the rated capacity of the battery.

C-rate (A) = charge/discharge current (A) / rated capacity of the battery

Here, 1C means,

It means charging and discharging at 1A based on a 1Ah battery.

At 2C, charging and discharging at 2A means that a 1Ah battery can be charged and discharged for 30 minutes in a fully charged state.

It does not mean that charging and discharging are performed at the same time, but charging in a fully discharged state and discharging in a fully charged state conversely.

As the C-rate increases, the battery of the same capacity is charged and discharged at a high current, so the internal resistance of the battery is designed to decrease to improve the output characteristics.

If an abnormal situation occurs, the voltage and current of the racks connected in parallel come out as abnormal values compared to the normal state.

For example, when an abnormality occurs in a module or cell in some racks, the voltage will be reduced by that amount, which will cause the current to flow to the rack. To formulate this, the state can be predicted by calculating the C-rate and applying the dombi function with information for each time period.

If the distribution deviates from the reference value based on this value, abnormal state detection is possible.

However, when not in operation, the power of all racks is 0. In this case, that is, when the total sum is 0, the distribution ratio of all racks is equally divided into n and calculated.

The risk index of the output risk can be displayed as Normal if it is less than 15%, Warning if it is 15% or more and less than 30%, and Emergency if it is 30% or more.

The risk index extraction step (S20) of the abnormal state monitoring method for preventing the spread of fire in the energy storage device according to an embodiment of the present invention

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

The risk index of the temperature risk is derived by

This is to apply a fuzzy membership function to deal with the uncertainty of the boundary of the acceptance criteria of each element, and to set the effective degree of membership, it is processed using the S-shaped membership function proposed by Dombi. This method has the advantage that the user can set the desired degree of affiliation by adjusting the coefficient. If data is accumulated in the future and abnormal situations are detected, a clear coefficient value for management can be derived.

값이 커지면 기울기가 급격(sharp)해지며 굴절점

값이 커지면 소속함수의 중심점이 오른쪽으로 이동하는 특징을 지닌다. 따라서 곡선 기울기

와 굴절점

을 원하는 조정하여 특정 측정치에 따른 위험치 기댓값을 사용자가 결정할 수 있게 된다. curve slope

As the value increases, the slope becomes sharp and the point of refraction

As the value increases, the center point of the membership function moves to the right. So the slope of the curve

and point of refraction

By adjusting as desired, the user can determine the expected risk value according to a specific measurement.

Each of the coefficients used in the above formula are arbitrary values, and suitable values can be found and applied through demonstration according to the installation environment and surrounding conditions.

If the risk index of the temperature risk is higher than the specified value, the PMS or EMS may forcibly stop the operation of the ESS and request a status check.

At this time, as the input value at time t

next expression

는 t 시점에서의 최대온도,

는 t 시점에서의 최소온도를 의미한다.)(here,

is the maximum temperature at time t,

is the minimum temperature at time t.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 할 수 있다.calculated by

It may be characterized in that the value is used as an input value at time t.

That is, it monitors the temperature rise of the battery and judges whether it is within the range recommended by the manufacturer, as well as determines whether the temperature of all the racks is operated within a certain range, and warns of an abnormal state if it is out of this range.

If the risk index of the temperature risk is less than 30%, it can be displayed as Normal, if it is 30% or more and less than 50%, it is Warning, and if it is 50% or more, it is displayed as Emergency.

The abnormal state monitoring method for preventing the spread of fire in an energy storage device according to an embodiment of the present invention may have a real-time monitoring element and a daily monitoring element at the same time.

The risk index extraction step (S20) of the abnormal state monitoring method for preventing the spread of fire in the energy storage device according to an embodiment of the present invention

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

The risk index of the condensation risk is derived by

This is to apply a fuzzy membership function to deal with the uncertainty of the boundary of the acceptance criteria of each element, and to set the effective degree of membership, it is processed using the S-shaped membership function proposed by Dombi. This method has the advantage that the user can set the desired degree of affiliation by adjusting the coefficient. If data is accumulated in the future and abnormal situations are detected, a clear coefficient value for management can be derived.

값이 커지면 기울기가 급격(sharp)해지며 굴절점

값이 커지면 소속함수의 중심점이 오른쪽으로 이동하는 특징을 지닌다. 따라서 곡선 기울기

와 굴절점

을 원하는 조정하여 특정 측정치에 따른 위험치 기댓값을 사용자가 결정할 수 있게 된다. curve slope

As the value increases, the slope becomes sharp and the point of refraction

As the value increases, the center point of the membership function moves to the right. So the slope of the curve

and point of refraction

By adjusting as desired, the user can determine the expected risk value according to a specific measurement.

Each of the coefficients used in the above formula are arbitrary values, and suitable values can be found and applied through demonstration according to the installation environment and surrounding conditions.

If the risk index of the condensation risk is higher than the specified value, the PMS or EMS may forcibly stop the operation of the ESS and request a status check.

At this time, as the input value at time t

next expression

는 t시점에서의 온도를 의미한다.)(here,

is the temperature at time t.)

값을 t시점에서의 입력값으로 사용하고, t시점에서의 이슬점 값을 입력값 구간의 하한치(

)로 사용하는 것을 특징으로 할 수 있다.calculated by

The value is used as the input value at time t, and the dew point value at time t is the lower limit (

) may be used as

The dew point temperature can be calculated based on the current temperature and relative humidity, and the dew point temperature has the characteristic of being equal to the current temperature when the humidity becomes 100%.

In the case of the inside of the battery room, if humidification or dehumidification is not performed, the relative humidity will rise, which can cause problems in the electrical system when the dew point is reached. can

If the risk index of the condensation risk is less than 50%, it can be displayed as Normal, when it is 50% or more and less than 80%, Warning, and when it is 80% or more, it can be displayed as Emergency.

The risk index extraction step (S20) of the abnormal state monitoring method for preventing the spread of fire in the energy storage device according to an embodiment of the present invention

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

The risk index of the current voltage (CNV) risk is derived by

This is to apply a fuzzy membership function to deal with the uncertainty of the boundary of the acceptance criteria of each element, and to set the effective degree of membership, it is processed using the S-shaped membership function proposed by Dombi. This method has the advantage that the user can set the desired degree of affiliation by adjusting the coefficient. If data is accumulated in the future and abnormal situations are detected, a clear coefficient value for management can be derived.

값이 커지면 기울기가 급격(sharp)해지며 굴절점

값이 커지면 소속함수의 중심점이 오른쪽으로 이동하는 특징을 지닌다. 따라서 곡선 기울기

와 굴절점

을 원하는 조정하여 특정 측정치에 따른 위험치 기댓값을 사용자가 결정할 수 있게 된다. curve slope

As the value increases, the slope becomes sharp and the point of refraction

As the value increases, the center point of the membership function moves to the right. So the slope of the curve

and point of refraction

By adjusting as desired, the user can determine the expected risk value according to a specific measurement.

Each of the coefficients used in the above formula are arbitrary values, and suitable values can be found and applied through demonstration according to the installation environment and surrounding conditions.

If the risk index of the current voltage (CNV) risk is greater than or equal to the specified value, the PMS or EMS may forcibly stop the operation of the ESS and request a status check.

At this time, as the input value at time t

next expression

는 t 시점에서의 i 번째 랙의 최대전압과 최소전압 차를 의미하고,

는 t 시점에서의 i 번째 랙의 최대전류와 최소전류 차를 의미한다.)(here,

is the difference between the maximum voltage and the minimum voltage of the i-th rack at time t,

denotes the difference between the maximum current and the minimum current of the i-th rack at time t.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 할 수 있다.calculated by

It may be characterized in that the value is used as an input value at time t.

In order to set the input value of the dombi function, the difference between the maximum and minimum voltage and current for each rack is calculated, and the RMS value is calculated and utilized again.

A battery rack connected in parallel monitors each voltage and current.

If an abnormal situation occurs, the voltage and current of the racks connected in parallel come out as abnormal values compared to the normal state.

For example, when an abnormality occurs in a module or cell in some racks, the voltage will be reduced by that amount, which will cause the current to flow to the rack. By formulating this and applying the dombi function with time-specific information, the state can be predicted.

If the distribution deviates from the reference value based on this value, abnormal state detection is possible.

The risk index of the current voltage (CNV) risk can be displayed as Normal if it is less than 15%, Warning if it is 15% or more and less than 30%, and Emergency if it is 30% or more.

The risk index extraction step (S20) of the abnormal state monitoring method for preventing the spread of fire in the energy storage device according to an embodiment of the present invention

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

The risk index of the unbalanced risk is derived by

This is to apply a fuzzy membership function to deal with the uncertainty of the boundary of the acceptance criteria of each element, and to set the effective degree of membership, it is processed using the S-shaped membership function proposed by Dombi. This method has the advantage that the user can set the desired degree of affiliation by adjusting the coefficient. If data is accumulated in the future and abnormal situations are detected, a clear coefficient value for management can be derived.

값이 커지면 기울기가 급격(sharp)해지며 굴절점

값이 커지면 소속함수의 중심점이 오른쪽으로 이동하는 특징을 지닌다. 따라서 곡선 기울기

와 굴절점

을 원하는 조정하여 특정 측정치에 따른 위험치 기댓값을 사용자가 결정할 수 있게 된다. curve slope

As the value increases, the slope becomes sharp and the point of refraction

As the value increases, the center point of the membership function moves to the right. So the slope of the curve

and point of refraction

By adjusting as desired, the user can determine the expected risk value according to a specific measurement.

Each of the coefficients used in the above formula are arbitrary values, and suitable values can be found and applied through demonstration according to the installation environment and surrounding conditions.

If the risk index of unbalanced risk is greater than or equal to the specified value, the PMS or EMS may forcibly stop the operation of the ESS and request a status check.

At this time, as the input value at time t

next expression

(Here, the current unbalance _t means the unbalance value obtained by dividing the difference between the maximum current value and the minimum current value at time _{t by the average current value, and the voltage unbalance t} is the difference between the maximum voltage value and the minimum voltage value at time t as the voltage average value. It means the divided unbalance value, and the SOC imbalance _t means the unbalance value obtained by dividing the difference between the maximum SOC value and the minimum SOC value at time t by the SOC average value.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 할 수 있다.calculated by

It may be characterized in that the value is used as an input value at time t.

All racks composing the battery should be maintained in a balanced state so that the current, SOC, and voltage are in accordance with each operation mode.

Therefore, when an imbalance occurs, it can be determined as an internal problem. The state can be predicted based on the risk index of the unbalanced risk to which the dombi function is applied.

If the distribution deviates from the standard value based on the risk index of the unbalanced risk, various detections such as abnormal or deteriorated conditions will be possible.

When explaining the current imbalance, it should ideally be 0 when the difference between the maximum current and the minimum current is divided by the average current based on the respective current values of all racks.

Based on a rack consisting of a total of n units, the current imbalance at time t is given by the following equation,

is calculated as

Based on a rack consisting of a total of n units, the voltage imbalance at time t is given by the following equation,

is calculated as

Based on a rack consisting of a total of n pieces, the SOC imbalance at time t is given by the following equation,

is calculated as

When viewed along the xyz axis with three pieces of information, the unbalanced risk is

Current unbalance = (x, 0 ,0)

Voltage unbalance = (0, y, 0)

SOC unbalance = (0, 0, z)

It can be seen based on the distance between the three points of .

That is, since the distance between the three points should always be 0 in a steady state, the input value of the dombi function can be used.

In other words, when a problem with the internal battery occurs, various problems such as current, voltage, and SOC occur instantaneously and continue.

If you use a defined function called imbalance and manage it continuously, it will be possible to recognize a dangerous situation in advance.

If the risk index of unbalanced risk is less than 40%, it can be displayed as Normal, if it is 40% or more and less than 50%, it is Warning, and if it is 50% or more, it can be displayed as Emergency.

The risk index extraction step (S20) of the abnormal state monitoring method for preventing the spread of fire in the energy storage device according to an embodiment of the present invention

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

The risk index of the current risk is derived by

This is to apply a fuzzy membership function to deal with the uncertainty of the boundary of the acceptance criteria of each element, and to set the effective degree of membership, it is processed using the S-shaped membership function proposed by Dombi. This method has the advantage that the user can set the desired degree of affiliation by adjusting the coefficient. If data is accumulated in the future and abnormal situations are detected, a clear coefficient value for management can be derived.

값이 커지면 기울기가 급격(sharp)해지며 굴절점

값이 커지면 소속함수의 중심점이 오른쪽으로 이동하는 특징을 지닌다. 따라서 곡선 기울기

와 굴절점

을 원하는 조정하여 특정 측정치에 따른 위험치 기댓값을 사용자가 결정할 수 있게 된다. curve slope

As the value increases, the slope becomes sharp and the point of refraction

As the value increases, the center point of the membership function moves to the right. So the slope of the curve

and point of refraction

By adjusting as desired, the user can determine the expected risk value according to a specific measurement.

Each of the coefficients used in the above formula are arbitrary values, and suitable values can be found and applied through demonstration according to the installation environment and surrounding conditions.

If the risk index of the current risk is higher than the specified value, the PMS or EMS may forcefully stop the operation of the ESS and request a status check.

At this time, as the input value at time t

next expression

는 n 번째 랙의 전류값,

는 t 시점에서의 랙의 최대 전류값,

는 t 시점에서의 n 번째 랙의 전류값을 의미한다.)(here,

is the current value of the nth rack,

is the maximum current value of the rack at time t,

is the current value of the nth rack at time t.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 할 수 있다.calculated by

It may be characterized in that the value is used as an input value at time t.

가 0이면 입력값을 0으로 처리하며,

가 0 이면 입력값을 10이라는 높은 숫자로 처리한다.here,

is 0, the input value is treated as 0,

If is 0, the input value is treated as a high number 10.

The reason for treating it as a high number is that the sum of the sum of the currents of all racks and the sum of the numbers except for the largest current is 0 is assuming that one rack is charging alone, which indicates that the current concentration is internally. it is for

In an ideal case, the current generated in each rack will have the same value. However, it may be different when the operation mode is changed instantaneously, but it is the same except in this case.

Here, the same value means the ratio of the current generated for each rack to the total current.

In order to make it more clear by making the evaluation index based on this, the calculation should be the same except for the maximum value.

Excluding the maximum value, if the number is high in the calculation, it can be judged that there is a problem.

If the risk index of the current risk is less than 40%, it can be displayed as Normal, if it is 40% or more and less than 50%, it is Warning, and if it is 50% or more, it is displayed as Emergency.

The risk index extraction step (S20) of the abnormal state monitoring method for preventing the spread of fire in the energy storage device according to an embodiment of the present invention

next expression

는 위험도지수,

는 입력값,

는 입력값 구간의 하한치,

는 입력값 구간의 상한치,

는 곡선의 기울기,

는 굴절점으로 상수값,

는 t시점에서의 입력값을 의미한다.)(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is the slope of the curve,

is a constant value as the point of refraction,

is the input value at time t.)

The risk index of the module voltage risk is derived by

This is to apply a fuzzy membership function to deal with the uncertainty of the boundary of the acceptance criteria of each element, and to set the effective degree of membership, it is processed using the S-shaped membership function proposed by Dombi. This method has the advantage that the user can set the desired degree of affiliation by adjusting the coefficient. If data is accumulated in the future and abnormal situations are detected, a clear coefficient value for management can be derived.

값이 커지면 기울기가 급격(sharp)해지며 굴절점

값이 커지면 소속함수의 중심점이 오른쪽으로 이동하는 특징을 지닌다. 따라서 곡선 기울기

와 굴절점

을 원하는 조정하여 특정 측정치에 따른 위험치 기댓값을 사용자가 결정할 수 있게 된다. curve slope

As the value increases, the slope becomes sharp and the point of refraction

As the value increases, the center point of the membership function moves to the right. So the slope of the curve

and point of refraction

By adjusting as desired, the user can determine the expected risk value according to a specific measurement.

Each of the coefficients used in the above formula are arbitrary values, and suitable values can be found and applied through demonstration according to the installation environment and surrounding conditions.

If the risk index of module voltage risk is higher than the specified value, the PMS or EMS may forcibly stop the operation of the ESS and request a status check.

At this time, as the input value at time t

next expression

는 t 시점에서의 m 번째 랙의 모듈 최대전압값,

는 t 시점에서의 m 번째 랙의 모듈 최소전압값을 의미한다.)(here,

is the module maximum voltage value of the mth rack at time t,

is the module minimum voltage value of the mth rack at time t.)

값을 t시점에서의 입력값으로 사용하는 것을 특징으로 할 수 있다.calculated by

It may be characterized in that the value is used as an input value at time t.

The module voltage risk is to judge the risk by using the information of the maximum and minimum voltage of the module, which is the unit constituting the rack. .

The risk index of module voltage risk can be displayed as Normal if it is less than 40%, Warning if it is more than 40% and less than 50%, and Emergency if it is more than 50%.

Although the abnormal state monitoring method for preventing the fire spread in the energy storage device has been described above according to an embodiment of the present invention, a computer readable record storing a program for implementing the abnormal state monitoring method for preventing the fire spread in the energy storage device It goes without saying that a program stored in a computer-readable recording medium for implementing an abnormal state monitoring method for preventing the spread of fire in media and energy storage devices can also be implemented.

That is, those skilled in the art can easily understand that the above-described abnormal state monitoring method for preventing the spread of fire in the energy storage device may be provided by being included in a computer-readable recording medium by tangibly implementing a program of instructions for implementing it. You will understand. In other words, it may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the computer-readable recording medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and floppy disks. magneto-optical media, and hardware devices specially configured to store and carry out program instructions, such as ROM, RAM, flash memory, USB memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

The present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the gist of the present invention as claimed in the claims.

S10: Information gathering stage
S20: Risk index export stage
S30: Information provision stage

Claims (11)

delete In the abnormal state monitoring method for preventing the spread of fire in an energy storage device in the form of a program executed by an arithmetic processing means including a computer,
an information collection step of collecting information on a plurality of factors selected from among rack current, rack voltage, state of charge (SOC), battery temperature, internal temperature, humidity and module voltage (S10);
Multiple selected from rack voltage risk, output risk, temperature risk, condensation risk, current voltage (CNV) risk, unbalance risk, current risk, and module voltage risk based on the information about the factors collected in the information collection step (S10) A risk index extraction step of deriving a risk index of (S20); and
An information providing step (S30) of calculating a composite index that sums all the risk indexes derived in the risk index extraction step (S20) and providing information that can determine whether a status check is necessary based on the composite index;
includes,
The risk index export step (S20) is
next expression

(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is a predetermined constant value that means the slope of the curve on the graph of the input value and the risk index,

is a predetermined constant value that means the inflection point of the curve on the graph of the input value and the risk index,

is the input value at time t.)
Derive the risk index of the rack voltage risk by
As the input value at the time t
next expression

(here,

is the voltage value at time t of the nth rack.)
calculated by

An abnormal state monitoring method for preventing the spread of fire in an energy storage device, characterized in that the value is used as an input value at time t.
In the abnormal state monitoring method for preventing the spread of fire in an energy storage device in the form of a program executed by an arithmetic processing means including a computer,
an information collection step of collecting information on a plurality of factors selected from among rack current, rack voltage, state of charge (SOC), battery temperature, internal temperature, humidity and module voltage (S10);
Multiple selected from rack voltage risk, output risk, temperature risk, condensation risk, current voltage (CNV) risk, unbalance risk, current risk, and module voltage risk based on the information about the factors collected in the information collection step (S10) A risk index extraction step of deriving a risk index of (S20); and
An information providing step (S30) of calculating a composite index that sums all the risk indexes derived in the risk index extraction step (S20) and providing information that can determine whether a status check is necessary based on the composite index;
includes,
The risk index export step (S20) is
next expression

(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is a predetermined constant value that means the slope of the curve on the graph of the input value and the risk index,

is a predetermined constant value that means the inflection point of the curve on the graph of the input value and the risk index,

is the input value at time t.)
The risk index of the output risk is derived by
As the input value at the time t
next expression

(here,

is the distribution ratio of the k-th rack,

is the voltage value at time t of the k-th rack,

is the current value at time t of the k-th rack.)
calculated by

An abnormal state monitoring method for preventing the spread of fire in an energy storage device, characterized in that the value is used as an input value at time t.
In the abnormal state monitoring method for preventing the spread of fire in an energy storage device in the form of a program executed by an arithmetic processing means including a computer,
an information collection step of collecting information on a plurality of factors selected from among rack current, rack voltage, state of charge (SOC), battery temperature, internal temperature, humidity and module voltage (S10);
Multiple selected from rack voltage risk, output risk, temperature risk, condensation risk, current voltage (CNV) risk, unbalance risk, current risk, and module voltage risk based on the information about the factors collected in the information collection step (S10) A risk index extraction step of deriving a risk index of (S20); and
An information providing step (S30) of calculating a composite index that sums all the risk indexes derived in the risk index extraction step (S20) and providing information that can determine whether a status check is necessary based on the composite index;
includes,
The risk index export step (S20) is
next expression

(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is a predetermined constant value that means the slope of the curve on the graph of the input value and the risk index,

is a predetermined constant value that means the inflection point of the curve on the graph of the input value and the risk index,

is the input value at time t.)
The risk index of the temperature risk is derived by
As the input value at the time t
next expression

(here,

is the maximum temperature at time t,

is the minimum temperature at time t.)
calculated by

An abnormal state monitoring method for preventing the spread of fire in an energy storage device, characterized in that the value is used as an input value at time t.
In the abnormal state monitoring method for preventing the spread of fire in an energy storage device in the form of a program executed by an arithmetic processing means including a computer,
an information collection step of collecting information on a plurality of factors selected from among rack current, rack voltage, state of charge (SOC), battery temperature, internal temperature, humidity and module voltage (S10);
Multiple selected from rack voltage risk, output risk, temperature risk, condensation risk, current voltage (CNV) risk, unbalance risk, current risk, and module voltage risk based on the information about the factors collected in the information collection step (S10) A risk index extraction step of deriving a risk index of (S20); and
An information providing step (S30) of calculating a composite index that sums all the risk indexes derived in the risk index extraction step (S20) and providing information that can determine whether a status check is necessary based on the composite index;
includes,
The risk index export step (S20) is
next expression

(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is a predetermined constant value that means the slope of the curve on the graph of the input value and the risk index,

is a predetermined constant value that means the inflection point of the curve on the graph of the input value and the risk index,

is the input value at time t.)
Derive the risk index of the condensation risk by
As the input value at the time t
next expression

(here,

is the temperature at time t.)
calculated by

The value is used as the input value at time t, and the dew point value at time t is the lower limit (

), an abnormal state monitoring method for preventing the spread of fire in an energy storage device.
In the abnormal state monitoring method for preventing the spread of fire in an energy storage device in the form of a program executed by an arithmetic processing means including a computer,
an information collection step of collecting information on a plurality of factors selected from among rack current, rack voltage, state of charge (SOC), battery temperature, internal temperature, humidity and module voltage (S10);
Multiple selected from rack voltage risk, output risk, temperature risk, condensation risk, current voltage (CNV) risk, unbalance risk, current risk, and module voltage risk based on the information about the factors collected in the information collection step (S10) A risk index extraction step of deriving a risk index of (S20); and
An information providing step (S30) of calculating a composite index that sums all the risk indexes derived in the risk index extraction step (S20) and providing information that can determine whether a status check is necessary based on the composite index;
includes,
The risk index export step (S20) is
next expression

(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is a predetermined constant value that means the slope of the curve on the graph of the input value and the risk index,

is a predetermined constant value that means the inflection point of the curve on the graph of the input value and the risk index,

is the input value at time t.)
Derive the risk index of the current voltage (CNV) risk by
As the input value at the time t
next expression

(here,

is the difference between the maximum voltage and the minimum voltage of the i-th rack at time t,

denotes the difference between the maximum current and the minimum current of the i-th rack at time t.)
calculated by

An abnormal state monitoring method for preventing the spread of fire in an energy storage device, characterized in that the value is used as an input value at time t.
In the abnormal state monitoring method for preventing the spread of fire in an energy storage device in the form of a program executed by an arithmetic processing means including a computer,
an information collection step of collecting information on a plurality of factors selected from among rack current, rack voltage, state of charge (SOC), battery temperature, internal temperature, humidity and module voltage (S10);
Multiple selected from rack voltage risk, output risk, temperature risk, condensation risk, current voltage (CNV) risk, unbalance risk, current risk, and module voltage risk based on the information about the factors collected in the information collection step (S10) A risk index extraction step of deriving a risk index of (S20); and
An information providing step (S30) of calculating a composite index that sums all the risk indexes derived in the risk index extraction step (S20) and providing information that can determine whether a status check is necessary based on the composite index;
includes,
The risk index export step (S20) is
next expression

(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is a predetermined constant value that means the slope of the curve on the graph of the input value and the risk index,

is a predetermined constant value that means the inflection point of the curve on the graph of the input value and the risk index,

is the input value at time t.)
Derive the risk index of the unbalanced risk by
As the input value at the time t
next expression

(Here, the current unbalance _t means the unbalance value obtained by dividing the difference between the maximum current value and the minimum current value at time _{t by the average current value, and the voltage unbalance t} is the difference between the maximum voltage value and the minimum voltage value at time t as the voltage average value. It means the divided unbalance value, and the SOC imbalance _t means the unbalance value obtained by dividing the difference between the maximum SOC value and the minimum SOC value at time t by the SOC average value.)
calculated by

An abnormal state monitoring method for preventing the spread of fire in an energy storage device, characterized in that the value is used as an input value at time t.
In the abnormal state monitoring method for preventing the spread of fire in an energy storage device in the form of a program executed by an arithmetic processing means including a computer,
an information collection step of collecting information on a plurality of factors selected from among rack current, rack voltage, state of charge (SOC), battery temperature, internal temperature, humidity and module voltage (S10);
Multiple selected from rack voltage risk, output risk, temperature risk, condensation risk, current voltage (CNV) risk, unbalance risk, current risk, and module voltage risk based on the information about the factors collected in the information collection step (S10) A risk index extraction step of deriving a risk index of (S20); and
An information providing step (S30) of calculating a composite index that sums all the risk indexes derived in the risk index extraction step (S20) and providing information that can determine whether a status check is necessary based on the composite index;
includes,
The risk index export step (S20) is
next expression

(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is a predetermined constant value that means the slope of the curve on the graph of the input value and the risk index,

is a predetermined constant value that means the inflection point of the curve on the graph of the input value and the risk index,

is the input value at time t.)
Derive the risk index of the current risk by
As the input value at the time t
next expression

(here,

is the current value of the nth rack,

is the maximum current value of the rack at time t,

is the current value of the nth rack at time t.)
calculated by

An abnormal state monitoring method for preventing the spread of fire in an energy storage device, characterized in that the value is used as an input value at time t.
In the abnormal state monitoring method for preventing the spread of fire in an energy storage device in the form of a program executed by an arithmetic processing means including a computer,
an information collection step of collecting information on a plurality of factors selected from among rack current, rack voltage, state of charge (SOC), battery temperature, internal temperature, humidity and module voltage (S10);
Multiple selected from rack voltage risk, output risk, temperature risk, condensation risk, current voltage (CNV) risk, unbalance risk, current risk, and module voltage risk based on the information about the factors collected in the information collection step (S10) A risk index extraction step of deriving a risk index of (S20); and
An information providing step (S30) of calculating a composite index that sums all the risk indexes derived in the risk index extraction step (S20) and providing information that can determine whether a status check is necessary based on the composite index;
includes,
The risk index export step (S20) is
next expression

(here,

is the risk index,

is the input value,

is the lower limit of the input value interval,

is the upper limit of the input value interval,

is a predetermined constant value that means the slope of the curve on the graph of the input value and the risk index,

is a predetermined constant value that means the inflection point of the curve on the graph of the input value and the risk index,

is the input value at time t.)
The risk index of the module voltage risk is derived by
As the input value at the time t
next expression

(here,

is the module maximum voltage value of the mth rack at time t,

is the module minimum voltage value of the mth rack at time t.)
calculated by

An abnormal state monitoring method for preventing the spread of fire in an energy storage device, characterized in that the value is used as an input value at time t.
10. A computer-readable recording medium storing a program for implementing the abnormal state monitoring method for preventing the spread of fire in an energy storage device according to any one of claims 2 to 9.
A program stored in a computer-readable recording medium for implementing the abnormal state monitoring method for preventing the spread of fire in an energy storage device according to any one of claims 2 to 9.

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