KR20170044415A - System and method for estimated state of energy of battery - Google Patents

System and method for estimated state of energy of battery Download PDF

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KR20170044415A
KR20170044415A KR1020150144083A KR20150144083A KR20170044415A KR 20170044415 A KR20170044415 A KR 20170044415A KR 1020150144083 A KR1020150144083 A KR 1020150144083A KR 20150144083 A KR20150144083 A KR 20150144083A KR 20170044415 A KR20170044415 A KR 20170044415A
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rate
battery
input
estimating
output power
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KR102028174B1 (en
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강정수
김진만
윤성열
안현철
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주식회사 엘지화학
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    • G01R31/3606—
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R21/00—Arrangements for measuring electric power or power factor
    • G01R21/06—Arrangements for measuring electric power or power factor by measuring current and voltage
    • G01R31/3624—
    • G01R31/3658—
    • G01R31/3679—

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)

Abstract

A method for estimating residual energy of a battery according to an embodiment of the present invention comprises the steps of: measuring a CP-rate of a battery; classifying the measured CP-rate into a plurality of groups; calculating a ratio corresponding to each CP-rate classified into the plurality of groups within a predetermined time; and estimating a remaining energy amount of the battery by reflecting the ratio for the each CP-rate.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a system and a method for estimating a remaining energy of a battery,

The present invention relates to a system and method for estimating a remaining energy of a battery, and more particularly, to a system and a method for estimating a remaining energy of a battery depending on a CP-rate.

The current efficiency of the battery is close to 100% and uses the concept of SOC (State Of Charge). However, in the case of the amount of energy of the battery, the efficiency of the battery depends on the CP-rate, so that SOE (State Of Energy) can not be introduced.

For example, even when the SOC of the battery is 50%, a high CP-rate can be used with less energy, and a lower CP-rate can be used with higher energy.

Since the voltage value input to and output from the battery changes depending on the CP-rate or the temperature, the amount of power available in the same SOC varies. Therefore, since the energy amount Wh of the reference battery cell varies depending on the CP- rate, It is difficult to estimate the amount.

It is an object of the present invention to provide a technique for estimating the remaining energy of a battery depending on a CP-rate.

The technical objects of the present invention are not limited to the above-mentioned technical problems, and other technical subjects not mentioned can be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a system for estimating a remaining energy of a battery, the system including a CP-rate estimating unit for estimating a CP-rate of the battery, a CP- A CP-rate analyzer for analyzing data classified through the CP-rate analyzer and calculating a rate of occurrence of CP-rate for each interval, and a CP-rate analyzer for analyzing data classified through the CP- And an SOE estimation unit for receiving a CP-rate occurrence rate and estimating a SOE (State Of Energy) value.

Further, the apparatus further includes an input / output power measuring unit for measuring input / output power of the battery.

Further, the input / output power measuring unit may include a current sensor for measuring a current of the battery; And a voltage sensor for measuring a voltage of the battery.

Further, the input / output power measuring unit measures the input / output power value of the battery using the current value and the voltage value measured through the current sensor and the voltage sensor.

Further, the CP-rate estimating unit may calculate a CP-rate at a specific time point through the input / output power of the battery measured by the input / output power measuring unit.

Furthermore, the CP-rate classifier may further include a data storage unit for storing a data table of CP-rate divided by intervals.

The CP-rate classifier classifies the CP-rate value obtained through the CP-rate estimator into a corresponding interval according to the data table stored in the data storage unit.

The SOE estimation unit may further include a data storage unit in which a dischargeable capacity corresponding to each CP-rate classified by the interval is stored.

The SOE estimation unit estimates an SOE value of the battery by calculating a ratio of occurrence of a dischargeable capacity and a CP-rate corresponding to each CP-rate in the data storage unit.

The SOE estimation unit may multiply the dischargeable capacity corresponding to each CP-rate by the occurrence rate of the CP-rate for each interval, and sum the calculated values for each interval to estimate the SOE value.

Meanwhile, the residual energy estimation method of a battery according to an embodiment of the present invention includes a step of measuring a CP-rate of a battery, a step of classifying the measured CP-rate into a plurality of groups, Calculating a ratio corresponding to each classified CP-rate, and estimating a remaining energy amount of the battery by reflecting a ratio according to each CP-rate.

Further, the step of defining the CP-rate may further include estimating input / output power of the battery, and calculating the CP-rate value using input / output power of the battery.

Further, the method may further include estimating input / output power of the battery, measuring input / output current and input / output voltage of the battery, and calculating input / output power based on the input / output current and input / output voltage values .

In addition, the step of classifying the measured CP-rate into a plurality of groups may include dividing the measured CP-rate into a plurality of grouped CP-rate data tables, And a step of determining a CP-rate corresponding to the measured CP-rate.

Further, the method may further include analyzing data on the CP-rate classified into the plurality of groups, and calculating the CP-rate occurrence ratio for each section.

Furthermore, the SOE value of the battery is estimated by calculating the ratio of the dischargeable capacity corresponding to each CP-rate and the CP-rate for each interval.

The dischargeable capacity corresponding to each CP-rate is multiplied by the rate of occurrence of each CP-rate, and the SOE value is estimated by summing the calculated values for each interval.

The present invention can obtain the effect of easily estimating the remaining energy of the battery by classifying the CP-rate of the battery into a plurality of groups at a specific point in time, and estimating the amount of energy that can be discharged by reflecting the occurrence rate of each section.

1 is a configuration diagram illustrating a battery remaining energy estimation system according to an embodiment of the present invention.
2 is a flowchart illustrating a battery residual energy estimation method according to an embodiment of the present invention.

The terms and words used in the present specification and claims should not be construed as limited to ordinary or preliminary meaning and the inventor shall properly define the concept of the term in order to describe its invention in the best possible way The present invention should be construed in accordance with the spirit and concept of the present invention.

Therefore, the embodiments described in the present specification and the configurations shown in the drawings are only the most preferred embodiments of the present invention, and not all of the technical ideas of the present invention are described. Therefore, It should be understood that various equivalents and modifications may be present. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail.

1 is a configuration diagram illustrating a battery remaining energy estimation system according to an embodiment of the present invention.

The battery residual energy estimation system of FIG. 1 includes a battery input / output power measurement unit 100 that measures input / output power of a battery.

The battery input / output power measuring unit 100 includes a battery current sensor 100a that measures the current of the battery and a battery voltage sensor 100b that measures the voltage of the battery.

The battery input / output power measuring unit 100 reads the current value A and the voltage value V of the battery through the current sensor 100a and the voltage sensor 100b of the battery, respectively. Then, the input / output power value of the battery can be measured by calculating in the following manner. Generally, the input / output current value of the battery and the voltage value of the battery are measured every second, and the measurement period may be changed depending on the system situation.

The input / output power value of the battery (Power = W) = the battery input / output current value (Current; A) × the battery voltage value (V)

Also, the output value of the battery input / output power may be obtained using a separate output measuring device.

The CP-rate estimator 200 receives the battery input / output power measured by the battery input / output power measurer 100.

The CP-rate is the charge / discharge ratio of the battery. It represents the ratio of the input / output power of the battery to the rated capacity of the battery.

In general, the unit of the CP-rate is denoted by C.

CP-rate (C) = current input / output power value [W] / rated energy amount of battery [Wh]

For example, when the rated energy amount of the battery is 2000Wh, the input / output power value may be 3000W and the charging time may be 2/3 hours (h) when charging at a CP-rate of 1.5C.

Also, when the rated capacity of the battery is 2000Wh, the input / output power value may be 1000W and the charging time may be 2 hours (h) when charging at a CP-rate of 0.5C.

The battery remaining energy estimation system includes a CP-rate classifier 300 that receives the measured CP-rate value through the CP-rate estimator 200 and classifies the CP-rate by intervals.

The CP-rate classifier 300 includes a data storage unit 350 that stores a data table in which the CP-rate is classified by intervals. The data table is shown in Table 1 below.

Referring to Table 1, it can be seen that the CP-rate is divided into a plurality of groups according to the intervals. Here, Table 1 divides a plurality of groups by dividing the CP-rate at intervals of 0.1C, but this is only one embodiment, and the range of the CP-rate divided into a plurality of groups or the number of groups is not limited thereto . That is, the range of CP-rate corresponding to each group can be reduced or increased, and the number of each group can also be reduced or increased.

CP-rate The first group 0 to less than 0.1C The second group 0.1 Below 0.2C Group 3 0.1 Below 0.3C Group 4 0.2 Below 0.4C

The CP-rate classifier 300 receives the CP-rate estimated by the CP-rate estimator 200 and receives the CP-rate estimated by referring to the data table stored in the data storage 350, It is determined which group is included in the group, and classified into the group. For example, if the CP-rate estimated at a specific point in time is 0.13C, it is classified into the first group. Assuming that the estimated CP-rate is 0.32C, it can be classified into the fourth group.

The CP-rate analyzer 400 calculates the ratio of how many groups classified in the CP-rate classifier 300 have occurred within a predetermined period of time. That is, the occurrence frequency of each CP-rate corresponding to a plurality of groups is measured. The period for which the incidence rate is to be calculated can be arbitrarily adjusted by the user. For example, the rate of occurrence of one hour of CP-rate can be analyzed and the rate of occurrence of CP-rate during one day can be analyzed.

Also, there is a method of calculating the ratio of how many groups classified by the CP-rate classifier 300 occur within a predetermined period, using weighting. The method of using the weight is to add the measured CP-rate to the group in addition to the previously measured data.

For example, assuming that the entire measurement period is 100 seconds, and one measurement period is 1 second, the measurement period of one measurement period is divided by 0.25% in the first, second, third, and fourth groups of the previously measured data. As shown in Table 2 below, the incidence rate of each group is 28.75% in the first group minus 0.25% from 29%, and 15.75% in the second group minus 0.25% in the second group. If the third group and the fourth group are calculated in the same way, the third and fourth groups are reduced to 34.75% and the fourth group to 19.75%.

It then reflects the newly estimated CP-rate for each group occurrence rate minus 0.25%. For example, if the newly estimated CP-rate is 0.13 CP, add 1 to the second group, which is 16.75%. In this case, the overall incidence rate can be kept at the same 100%.

Assuming that the entire measurement period is 1000 seconds, the incidence rate can be calculated by subtracting 0.025% from the occurrence rate for each group and adding 0.1% to the group corresponding to the newly estimated CP-rate.

The rate of occurrence of the CP-rate can be calculated for each group classified according to the interval of the CP-rate as shown in <Table 2>.

For example, the CP-rate corresponding to the first group is 29%, the CP-rate corresponding to the second group is 16%, the CP-rate corresponding to the third group is 35%, and the CP- The CP-rate can be estimated to be 20%. Here, the generation rate is not limited to this.

CP-rate Incidence rate The first group 0 to 0.1 C 29% The second group 0.1 to 0.2C 16% Group 3 0.2 to 0.3 C 35% Group 4 0.3 ~ 0.4 C 20%

Then, the remaining energy estimation system of the battery includes the SOE estimating unit 500. [ The SOE estimating unit 500 can estimate the remaining energy amount of the battery by reflecting the battery dischargeable capacity corresponding to the CP-rate and the generation rate of the CP-rate per section.

The SOE estimating unit 500 includes a second data storage unit 550 in which a dischargeable capacity of a battery corresponding to each CP-rate classified into a plurality of groups is stored.

The data table stored in the second data storage unit 550 is shown in Table 3 below.

Referring to Table 3, the dischargeable capacity corresponding to the first group having the CP-rate exceeding 0 and not more than 0.1C is 5.0 kWh, and the dischargeable capacity corresponding to the second group having the CP-rate not less than 0.1 and 0.2C 4.5 kWh. The dischargeable capacity corresponding to the third group having a CP-rate of 0.2 to 0.3 C is 4.0 kWh, and the dischargeable capacity corresponding to the fourth group having a CP-rate of 0.3 to 0.4 C is 3.5 kWh. Here, the dischargeable capacity corresponding to the CP-rate is not limited to this, and can be changed depending on the state of the battery and the surrounding environment. For example, if the battery is used for a long time and the degradation progresses greatly, the value may decrease according to the degree of degradation.

CP-rate Incidence rate Discharge Capacity The first group 0 to 0.1 CP 29% 5.0 kWh The second group 0.1 to 0.2 CP 16% 4.5 kWh Group 3 0.2 ~ 0.3 CP 35% 4.0 kWh Group 4 0.3 to 0.4 CP 20% 3.5 kWh

Referring to Table 3, the remaining energy (state of energy) of the battery can be estimated by calculating the ratio of the dischargeable capacity corresponding to the CP-rate of each group and the CP-rate per section.

More specifically, the SOE value can be estimated by multiplying the dischargeable capacity corresponding to each CP-rate by the occurrence rate of each CP-rate, and summing the calculated values for each interval. At this time, the dischargeable capacity at the CP-rate corresponding to a plurality of groups can be set to a value stored in the second data storage unit 550 as shown in Table 3.

For example, if the CP-rate is 0.1 C, it corresponds to the first group. Therefore, it can be seen that the amount of energy that can be discharged at SOC 100% is 5 kWh and the generation rate of the CP-rate is 29%. Here, the remaining energy of the battery can be calculated as 5 kWh x 0.29.

If the CP-rate is 0.2C, it corresponds to the second group. Thus, it can be seen that the amount of energy that can be discharged at SOC 100% is 4.5 kWh and the CP-rate is 16%.

Then, the remaining energy of the battery can be calculated as 4.5 kWh x 0.16.

In this manner, the remaining energy of the battery corresponding to each group can be summed up to be the final remaining energy of the battery.

As described above, it is possible to easily estimate the remaining energy of the battery by classifying the CP-rate of the battery into a plurality of groups at a specific point in time, and estimating the amount of energy that can be discharged by reflecting the occurrence rate of each section .

2 is a flowchart illustrating a battery residual energy estimation method according to an embodiment of the present invention.

Referring to FIG. 2, the input / output power of the battery is measured through a battery input / output measuring unit ('100' in FIG. 1).

The input / output power of the battery is measured by measuring the current (A) value of the battery through the battery current sensor 100a and measuring the voltage (V) value of the battery through the battery voltage sensor 100b.

The input / output power value of the battery (Power = W) = the battery input / output current value (Current; A) × the battery voltage value (V)

Then, the process proceeds to step S100 of estimating the CP-rate using the battery input / output power measured by the battery input / output power measuring unit 100 (step S100).

The CP-rate is the charge / discharge ratio of the battery. It represents the ratio of the input / output power of the battery to the rated capacity of the battery.

In general, the unit of the CP-rate is denoted by C.

CP-rate (C) = current input / output power value [W] / rated energy amount of battery [Wh]

For example, when the rated energy amount of the battery is 2000Wh, the input / output power value may be 3000W and the charging time may be 2/3 hours (h) when charging at a CP-rate of 1.5C.

Also, when the rated capacity of the battery is 2000Wh, the input / output power value may be 1000W and the charging time may be 2 hours (h) when charging at a CP-rate of 0.5C.

Next, the CP-rate value measured in step S100 is received and the CP-rate is classified according to the interval (step S110).

The step of classifying the CP-rate according to the interval is performed through the CP-rate classifying unit 300. The CP-rate is classified into the CP-rate by referring to the data table in which the CP- It can be divided into sections.

The CP-rate is determined by referring to the data table classified by intervals, and it is determined which CP-rate belongs to which of the plurality of groups, and classified into the corresponding group. For example, if the CP-rate estimated at a specific point in time is 0.13C, it is classified into the first group. If the estimated CP-rate is 0.32C, it can be classified into the fourth group (see Table 1).

In step S120, the rate of how many groups classified into the CP-rate intervals within a predetermined period of time have occurred is proceeded (step S120). That is, the occurrence frequency of each CP-rate corresponding to a plurality of groups is measured. The period for which the incidence rate is to be calculated can be arbitrarily adjusted by the user. For example, the rate of occurrence of one hour of CP-rate can be analyzed and the rate of occurrence of CP-rate during one day can be analyzed.

For the rate of occurrence of CP-rate, refer to <Table 2> described above.

For example, the CP-rate corresponding to the first group is 29%, the CP-rate corresponding to the second group is 16%, the CP-rate corresponding to the third group is 35%, and the CP- The CP-rate can be estimated to be 20% (see Table 2).

Then, the remaining energy amount of the battery is estimated by reflecting the battery dischargeable capacity corresponding to the CP-rate and the generation rate of the CP-rate per section (step S130).

The step of estimating the remaining energy amount of the battery first checks the dischargeable capacity of the battery corresponding to each of the CP-rates classified into the plurality of groups. The dischargeable capacity of the battery corresponding to each CP-rate is referred to < Table 3 >

The state of energy of the battery can be estimated by calculating the ratio of the dischargeable capacity corresponding to the CP-rate of each group and the CP-rate of each section.

More specifically, the SOE value can be estimated by multiplying the dischargeable capacity corresponding to each CP-rate by the occurrence rate of each CP-rate, and summing the calculated values for each interval. At this time, the dischargeable capacity at the CP-rate corresponding to a plurality of groups can be set with reference to Table 3 above.

For example, if the CP-rate is 0.1 C, it corresponds to the first group. Thus, it can be seen that the amount of energy that can be discharged at SOC 100% is 5 kWh and the rate of occurrence of CP-rate is 29% (see Table 3). Here, the remaining energy of the battery can be calculated as 5 kWh x 0.29.

If the CP-rate is 0.2C, it corresponds to the second group, so that the amount of energy that can be discharged at SOC 100% is 4.5 kWh and the CP-rate is 16% (see Table 3)

Then, the remaining energy of the battery can be calculated as 4.5 kWh x 0.16.

In this manner, the remaining energy of the battery corresponding to each group can be summed up to be the final remaining energy of the battery.

As described above, it is possible to easily estimate the remaining energy of the battery by classifying the CP-rate of the battery into a plurality of groups at a specific point in time and estimating the amount of energy that can be discharged by reflecting the rate of occurrence of each section .

It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention as defined by the appended claims.

Therefore, the embodiments disclosed in the present application are intended to illustrate rather than limit the technical idea of the present application, and the scope of the technical idea of the present application is not limited by these embodiments.

The scope of protection of the present application should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

100: input / output power measuring unit 100a: current sensor
100b: voltage sensor 200: CP-rate estimation unit
300: CP-rate classification unit 350: first data storage unit
400 CP-rate analyzing unit 500: SOE estimation unit
550: second data storage unit

Claims (17)

A CP-rate estimating unit for estimating a CP-rate of the battery;
A CP-rate classifier for classifying the CP-rate estimated by the CP-rate estimator by intervals;
A CP-rate analyzer for analyzing data classified through a CP-rate classifier and calculating a CP-rate of each interval; And
The CP-rate analyzing unit receives the CP-rate occurrence ratio for each section and estimates SOE (State Of Energy)
And estimating a remaining energy of the battery. The method according to claim 1,
And an input / output power measuring unit for measuring input / output power of the battery. The method of claim 2,
The input / output power measuring unit
A current sensor for measuring a current of the battery; And
A voltage sensor for measuring a voltage of the battery;
Further comprising a second energy estimator for estimating a remaining energy of the battery. The method of claim 3,
The input / output power measuring unit
Wherein the input / output power value of the battery is measured using the current value and the voltage value measured through the current sensor and the voltage sensor. The method of claim 2,
Wherein the CP-rate estimator calculates a CP-rate at a specific point on the input / output power of the battery measured by the input / output power measurer. The method according to claim 1,
The CP-rate classification unit
A data storage unit storing a data table of CP-rate divided by intervals
Further comprising a second energy estimator for estimating a remaining energy of the battery. The method of claim 6,
The CP-rate classification unit
And classifies the CP-rate value obtained through the CP-rate estimation unit into a corresponding interval according to the data table stored in the data storage unit. The method according to claim 1,
The SOE estimation unit
The dischargeable capacity corresponding to each CP-rate classified according to the section is stored in a data storage unit
Further comprising a second energy estimator for estimating a remaining energy of the battery. The method according to claim 1,
The SOE estimation unit
And estimating an SOE value of the battery by calculating a ratio of occurrence of a dischargeable capacity and a CP-rate corresponding to each CP-rate of the data storage unit. The method according to claim 1,
The SOE estimation unit
Wherein an SOE value is estimated by multiplying the dischargeable capacity corresponding to each CP-rate by a generation rate of each CP-rate for each interval, and summing the calculated values for each interval. Measuring the CP-rate of the battery
Classifying the measured CP-rate into a plurality of groups;
Calculating a ratio corresponding to each CP-rate classified into a plurality of groups within a predetermined time; And
Estimating a remaining energy amount of the battery by reflecting a ratio according to each CP-rate;
And estimating a remaining energy of the battery. The method of claim 11,
The step of defining the CP-rate
Estimating an input / output power of the battery; And
Calculating the CP-rate value using input / output power of the battery
And estimating a remaining energy of the battery. The method of claim 12,
The step of estimating the input / output power of the battery
Measuring an input / output current and an input / output voltage of the battery; And
Calculating input / output power through the input / output current and input / output voltage values
And estimating a remaining energy of the battery. The method of claim 11,
The step of classifying the measured CP-rate into a plurality of groups
In the data table of the CP-rate classified into a plurality of groups, the interval corresponding to the measured CP-
Dividing the measured CP-rate into a plurality of intervals; And
Wherein the determining step determines whether the measured CP-rate corresponds to a certain interval. The method of claim 11,
Analyzing data of the CP-rate classified into the plurality of groups and calculating a CP-rate occurrence rate for each section
And estimating a remaining energy of the battery. The method of claim 11,
And estimating an SOE value of the battery by calculating an occurrence rate of each dischargeable capacity and a CP-rate corresponding to each CP-rate. The method of claim 11,
Wherein the SOE value is estimated by multiplying the dischargeable capacity corresponding to each CP-rate by the occurrence rate of the CP-rate for each interval, and summing the calculated values for each interval.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110231573A (en) * 2019-06-14 2019-09-13 安徽锐能科技有限公司 A kind of SOE estimation device based on the passive equilibrium of battery
CN113125967A (en) * 2021-04-07 2021-07-16 力高(山东)新能源技术有限公司 Lithium battery SOE calculation method based on temperature rise prediction

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JP2002228730A (en) * 2001-02-06 2002-08-14 Shikoku Electric Power Co Inc Residual electric energy estimating device for secondary battery
KR20110024707A (en) * 2009-09-03 2011-03-09 주식회사 엘지화학 Method of charging lithium secondary battery
KR20120029735A (en) * 2010-09-17 2012-03-27 한국과학기술원 Battery capacity calculation device for electric moving bodies
KR20150049024A (en) * 2013-10-29 2015-05-08 근로복지공단 System for monitoring battery

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Publication number Priority date Publication date Assignee Title
JP2002228730A (en) * 2001-02-06 2002-08-14 Shikoku Electric Power Co Inc Residual electric energy estimating device for secondary battery
KR20110024707A (en) * 2009-09-03 2011-03-09 주식회사 엘지화학 Method of charging lithium secondary battery
KR20120029735A (en) * 2010-09-17 2012-03-27 한국과학기술원 Battery capacity calculation device for electric moving bodies
KR20150049024A (en) * 2013-10-29 2015-05-08 근로복지공단 System for monitoring battery

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110231573A (en) * 2019-06-14 2019-09-13 安徽锐能科技有限公司 A kind of SOE estimation device based on the passive equilibrium of battery
CN113125967A (en) * 2021-04-07 2021-07-16 力高(山东)新能源技术有限公司 Lithium battery SOE calculation method based on temperature rise prediction

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