BRPI0912066B1  Apparatus and method for estimate soh of a battery based on a battery voltage variation pattern  Google Patents
Apparatus and method for estimate soh of a battery based on a battery voltage variation pattern Download PDFInfo
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 BRPI0912066B1 BRPI0912066B1 BRPI09120661A BRPI0912066A BRPI0912066B1 BR PI0912066 B1 BRPI0912066 B1 BR PI0912066B1 BR PI0912066 A BRPI0912066 A BR PI0912066A BR PI0912066 B1 BRPI0912066 B1 BR PI0912066B1
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 BR
 Brazil
 Prior art keywords
 battery
 soc
 open circuit
 variation
 circuit voltage
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 230000000875 corresponding Effects 0.000 claims abstract description 26
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 238000006731 degradation reactions Methods 0.000 description 22
 241001310178 Watermelon mosaic virus Species 0.000 description 14
 238000000034 methods Methods 0.000 description 10
 230000003247 decreasing Effects 0.000 description 8
 238000004364 calculation methods Methods 0.000 description 4
 238000010586 diagrams Methods 0.000 description 4
 238000007599 discharging Methods 0.000 description 4
 230000000694 effects Effects 0.000 description 3
 239000000446 fuels Substances 0.000 description 2
 230000003862 health status Effects 0.000 description 2
 230000004048 modification Effects 0.000 description 2
 238000006011 modification reactions Methods 0.000 description 2
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[Cd].[Ni] OJIJEKBXJYRIBZUHFFFAOYSAN 0.000 description 1
 QELJHCBNGDEXLDUHFFFAOYSAN [Zn].[Ni] Chemical compound 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 230000003679 aging effect Effects 0.000 description 1
 238000006243 chemical reactions Methods 0.000 description 1
 230000001276 controlling effects Effects 0.000 description 1
 238000005314 correlation function Methods 0.000 description 1
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Classifications

 G—PHYSICS
 G01—MEASURING; TESTING
 G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
 G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
 G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
 G01R31/3644—Constructional arrangements
 G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm

 G—PHYSICS
 G01—MEASURING; TESTING
 G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
 G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
 G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
 G01R31/392—Determining battery ageing or deterioration, e.g. state of health

 G—PHYSICS
 G01—MEASURING; TESTING
 G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
 G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
 G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
 G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
 G01R31/3828—Arrangements for monitoring battery or accumulator variables, e.g. SoC using current integration
 G01R31/3832—Arrangements for monitoring battery or accumulator variables, e.g. SoC using current integration without measurement of battery voltage
Abstract
Apparatus and Method for Estimating Soh of a Battery Based on a Battery Voltage Variation Pattern The present invention relates to an apparatus that estimates soh of a battery based on a Battery Voltage Variation Pattern. A data storage unit obtains and stores battery voltage, current, and temperature data from sensors in each soh estimation. a first soc estimator unit estimates first soc by current integration using the battery current data. a second soc estimator unit estimates the open circuit voltage from the voltage variation pattern, and calculates and stores second soc corresponding to the open circuit voltage and temperature using correlations between open circuit voltage / temperature and soc. a weighted average convergence calculator unit calculates and stores convergence value for weighted average ratio value from the second soc variation to the first soc variation. a soh estimator unit estimates capacity corresponding to the weighted average convergence value using a correlation between the weighted average convergence value and capacity, estimates the relative ratio of estimated capacity to an initial capacity, and stores it as soh.
Description
The present invention relates to apparatus and method for estimating SOH (State Of Health) of a battery, which is a parameter representing a capacity degradation of a battery, and more particularly to apparatus and method for estimating SOH of a battery. battery based on SOC (State Of Charge charge state) which is a parameter representing a residual capacity of a battery.
Description of the Related Art
Generically electric vehicles or hybrid electric vehicles (hereinafter referred to as electrically driven vehicles) are driven in an electrically driven mode using electrical energy stored in a battery.
A vehicle using fossil fuel operates an engine using liquid fuel, so it is not difficult to measure a residual amount of fuel. However, in the case of an electrically driven vehicle, it is not easy to accurately measure residual energy from a battery.
An electrically driven vehicle is moved using energy charged in a battery, so it is important to check the residual capacity of a battery. Therefore, techniques for informing a driver of information such as a possible travel distance when checking a battery's SOC are actively developed.
As an example, there is a method to measure a battery voltage while the battery is charged / discharged, estimate a battery's open circuit voltage in a discharge state from the measured voltage, and then map SOC corresponding to the open circuit voltage estimated by referring to a SOC table that defines a SOC for each open circuit voltage. However, when a battery is charged / discharged, the estimated voltage of a battery is significantly different from an effective voltage due to an ePetition 870190068320, of 07/18/2019, p. 9/17 made of IR drop, so accurate SOC cannot be obtained unless such error is corrected.
For reference, the IR drop effect means a phenomenon that a voltage is rapidly changed when a battery starts to be discharged connected to a charge or starts to be charged from an external power source. Namely, a battery voltage decreases rapidly when the discharge begins, and a voltage increases rapidly when the charge begins.
As another example, there is a method to estimate a battery's SOC by integrating battery charge / discharge currents. When this method is used, the SOC accuracy deteriorates as time passes as measurement errors that occur during the current measurement process are continuously accumulated.
"Meanwhile ^{} this? SOC is another parameter that represents a battery state, in addition to the SOC above. SOH is a parameter that quantitatively represents a change in the capacity of a battery  caused by an aging effect, and allows to check how much the capacity of a battery is degraded. In this way, if SOH is verified, a battery can be changed at an appropriate point in time, and also a charge / discharge capacity of a battery can be controlled according to a battery usage term to avoid overcharging or overdischarging the battery. .
The change in capacity characteristics of a battery is reflected in the change in the internal resistance of the battery, so it is known that SOH can be estimated from the internal resistance and temperature of a battery. In other words, the capacity of a battery is measured for each internal resistance and temperature of a battery through the charge / discharge experiments. Then, the measured capacities are evaluated in relative numerical values based on an initial battery capacity to obtain a lookup table for SOH mapping. After that, the internal resistance and temperature of a battery under an actual battery usage circumstance are measured, and then SOH corresponding to the internal resistance and temperature are mapped from the lookup table to estimate a battery's SOH.
In the SOH estimation method above, the most important thing is how precisely a battery's internal resistance can be obtained. However, it is actually impossible to directly measure an internal resistance of a battery while the battery is being charged / discharged. Thus, battery voltage and charge / discharge current are commonly measured to indirectly calculate an internal battery resistance according to Ohm's law. However, since the battery voltage is different from an effective voltage due to the IR drop effect and the battery current also has a measurement error, the internal resistance is simply calculated according to Ohm's law and SOH estimated at internal resistance do not ensure sufficient reliability.
Description of the Invention ~ ^{} ~
Technical problem
The present invention is designed to solve the problems of the prior art, and therefore it is an object of the present invention to provide apparatus and method for estimating SOH with high precision.
Another objective of the present invention is to provide apparatus and method for estimating SOH, which can improve the SOH estimation accuracy using SOC estimated from a battery voltage variation pattern when SOH is estimated by a mathematical model.
Yet another objective of the present invention is to provide apparatus and method for estimating SOH, which can improve the SOH estimation accuracy by considering SOCs estimated in different ways together when SOH is estimated by a mathematical model.
Technical Solution
To achieve the above objective, the present invention provides an apparatus for estimating SOH (health status) of a battery based on a battery voltage variation pattern, which includes a data storage unit for obtaining and storing voltage data battery, temperature and current from a voltage sensing unit, a current sensing unit and a temperature sensing unit, which are coupled to a battery, whenever SOH is estimated; a first SOC estimation unit (State of charge) to estimate a first SOC by an ampere counting mode using the stored battery current data; a second SOC estimator unit to estimate an open circuit voltage from the stored battery voltage variation pattern, and calculate and store a second SOC corresponding to the estimated open circuit voltage and battery temperature using correlations between voltage open circuit and SOC and between battery temperature and SOC; a weighted average convergence calculator unit for calculating and storing a convergence value for a weighted average smoke value ^{} ratio '(or a variation ratio  SOC) of a variation of the second SOC to a variation of the first SOC; and a SOH estimator unit to estimate a battery capacity corresponding to the * weighted average = stored convergence value 20__of the SOC_rating_ ratio using a correlation between the weighted average convergence value of the SOC variation ratio and the battery capacity, estimating a relative ratio of estimated battery capacity to initial battery capacity, and store the relative ratio as SOH.
In one aspect of the present invention, the correlation between the weighted average convergence value of the SOC variation ratio and the battery capacity is a lookup table in which battery capacities are defined for each weighted average variation ratio convergence value. SOC. In this case, 30 the SOH estimator unit estimates a battery capacity that corresponds to the stored weighted average convergence value of the SOC variation ratio when mapping from the lookup table.
In another aspect of the present invention, the correlation between the weighted average convergence value of the SOC variation ratio 35 and the battery capacity is a function using the weighted average convergence value of the SOC variation ratio and the battery capacity as an input parameter and an output parameter, respectively. In this case, the SOH estimator unit estimates a battery capacity by replacing the stored weighted average convergence value of the SOC variation ratio as the function input parameter.
Selectively, the SOH estimator unit calculates a relative ratio based on a minimum allowable battery capacity when a relative ratio of a current battery capacity to an initial battery capacity is calculated.
Preferably, the second unit of estimation of
SOC includes an open circuit voltage variation calculator unit to calculate an open circuit voltage variation from a variation pattern of stored battery voltages measured today and in the past by applying a mathematical model 15 that defines the correlation between the battery voltage variation pattern and ~ open circuit voltage variation, ~ and estimate an open circuit voltage variation at a current stage by reflecting a correction factor that corresponds to the battery temperature in the voltage variation of  open circuit
2_CL__calculated; an open circuit voltage_calculator unit for estimating a battery open circuit voltage in a current stage by reflecting the estimated open circuit voltage variation in an estimated battery open circuit voltage in a last stage; and a SOC estimator unit to estimate and store SOC corresponding to the estimated open circuit voltage and the temperature measured by using the correlations between open circuit voltage and SOC and between temperature and SOC.
Preferably, the open circuit voltage calculator unit corrects an open circuit voltage by adding a difference between an average weight value (a higher weight is provided as battery voltage is measured previously) for current and previous battery voltages and a open circuit voltage in a last stage to the estimated open circuit voltage in a current stage. At that point, the previous battery voltage can be a battery voltage measured at a last stage.
Preferably, the estimated open circuit voltage variation is calculated by multiplying the calculated open circuit voltage variation by the correction factor according to the temperature.
Preferably, the battery voltages setting the variation pattern include at least voltages V _{n} , Vn! and V _{n} _2 measured in a current stage, in a last stage and in the stage before the last one.
In the present invention, the mathematical model is defined by a mathematical operation between a battery voltage variation between a current and a previous stage and a pattern function defined by each voltage of the battery voltage variation pattern.
In the present invention, the correction factor is calculated by replacing a battery temperature as a parameter ^{} input ^{=} de ^{=} uirr “mathematical— model using = battery temperature (T) as an input parameter and the correction factor of battery open circuit voltage variation as an output parameter.   _ _ „_________To achieve the above objective, the present invention also provides a method for estimating a battery's SOH based on a voltage variation pattern battery, which includes (a) obtaining and storing battery voltage, current and temperature data from a voltage sensing unit, a current sensing unit and a temperature sensing unit, which are coupled to a battery, whenever that SOH is estimated; (b) estimating a first SOC by an ampere counting mode using the stored battery current data; (c) estimate an open circuit voltage from the stored battery voltage variation pattern, and calculate and store a second SOC corresponding to the estimated open circuit voltage and battery temperature using correlations between open circuit voltage and SOC and between battery temperature and SOC; (d) calculating and storing a convergence value for a weighted average value 35 of a ratio (or, a SOC variation ratio) from a variation of the second SOC to a variation of the first SOC; and (e) estimate a battery capacity corresponding to the stored weighted average convergence value of the SOC variation ratio using a correlation between the SOC weighted average convergence value and the battery capacity, estimate a relative ratio of the estimated battery capacity for
an  capacity  of initial battery,  and store  The  reason  relative 
how  SOH.  
Brief Description of Drawings  
if  will become  Other objectives and evident from  aspects of the present invention the following description of 
modalities with reference to the attached drawings in which:
Figure 1 is a schematic view showing an apparatus for estimating a battery's SOH based on a battery voltage variation pattern according to an embodiment of the present invention.
. = __ _ _ The_Figure 2_ is a block diagram showing a battery SOH estimator program according to one embodiment of the present invention.
_ _ _ _ Figure 3 is a block diagram showing a second SOC estimator unit to estimate SOC based on a battery voltage variation pattern in accordance with the present invention.
Figure 4 is a flow chart illustrating a method for estimating SOH based on a battery voltage variation pattern in accordance with an embodiment of the present invention;
25  THE  Figure 5  is a flow chart that  illustrates  one 
estimator process  SOC with  based on a pattern of  variation  in  
voltage of  drums  according  with a modality  of this  
invention;  
THE  Figure 6 is  a graph that shows  standards  in 
SOC variation estimated by an ampere counting mode and SOC variation estimated by a battery voltage variation pattern under the same charge / discharge condition in an initial battery use stage;
Figure 7 is a graph showing SOC variation patterns estimated by an ampere counting mode and SOC estimated by a battery voltage variation pattern under the same charge / discharge condition after a battery's capacity is degraded to some point;
Figures 8 and 9 are graphs showing periodically weighted average values of SOC 5 variation ratios by arbitrarily setting an initial weighted average value at different values while charge / discharge tests are performed for two batteries whose capacities are already known; and
Figure 10 is a table showing the effective capacity of each battery, a percentage of current capacity for an initial capacity of each battery, a weighted average convergence value of a SOC variation ratio, a percentage of an estimated capacity for a capacity each battery, and an estimated capacity error based on an effective capacity, which are calculated during experiments.
Best Way to Execute the Invention ^{} ~ =
In the following, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Before the description, it should be understood that the terms 20 used in the specification and in the “reiv” irrdi “cavõesappendados should not be interpreted as limited to general and dictionary meanings, but interpreted based on meanings and concepts corresponding to technical aspects of the present invention based on the principle that the inventor is allowed to define terms appropriately for the best explanation. Therefore, the description proposed here is only a preferable example for illustrative purposes only, not intended to limit the scope of the invention, so it should be understood that other equivalents and modifications could be made to it without departing from the spirit and scope of the invention. .
Figure 1 is a schematic view showing an apparatus for estimating SOH (health status) of a battery based on a battery voltage variation pattern according to an embodiment of the present invention.
Referring to Figure 1, the apparatus for estimating SOH of a battery based on a battery voltage variation pattern according to the present invention is connected between a battery 100 and a charge 107, and includes a voltage sensing unit 101 , a temperature sensing unit 102, a current sensing unit 103, a memory 104 and a microcontroller 105.
The voltage sensing unit 101 measures a battery voltage under the control of microcontroller 105 in each SOH estimation and transmits the battery voltage to microcontroller 105.
The temperature sensor unit 102 measures a battery temperature under the control of microcontroller 105 in each SOH estimation and transmits the battery temperature to microcontroller 105.
The current sensing unit 103 measures a battery current flowing through a current sensing resistor 108 under control of microcontroller 105 at each ~ ~ SOH estimation and transmits' current from battery to =  microcontroller 105 .
Memory 104 stores programs needed to ^{} estimate 'battery capacity degradation, various .data
... 2_0____required, to estimate_ battery capacity degradation in advance, battery voltage, temperature and current data, measured by. voltage sensing unit 101, temperature sensing unit 102 and current sensing unit 103, and various design values that occur in various design processes to estimate battery capacity degradation.
Microcontroller 105 receives battery voltage, temperature and current data from voltage sensor unit 101, temperature sensor unit 102 and current sensor unit 103 in each SOH estimate of battery 100 and stores 30 data in memory 104 In addition, microcontroller 105 reads and executes a battery capacity degradation estimator program from memory 104, estimates a battery's SOH and stores SOH in memory 104, and transmits the estimated SOH out through a display 106 as necessary. The configuration and 35 operations of the battery capacity degradation estimator program will be explained in detail later.
Battery type 100 is not particularly limited, and can adopt lithium ion batteries, lithium polymer batteries, nickel cadmium batteries, nickel hydrogen batteries, nickel zinc batteries and so on, which are rechargeable and whose state of cargo must be considered.
The type of charge 107 is not particularly limited, and can be portable electronic devices such as video cameras, cell phones, portable PC, MP3 and PMP players, electric vehicle engines or hybrid vehicles, DC to DC converters, and so on. against.
Figure 2 is a block diagram showing a battery SOH estimator program in accordance with an embodiment of the present invention.
Referring to Figure 2, the program for estimating battery capacity degradation 200 in accordance with the present invention is performed by microcontroller * 105 and includes a data storage unit 201, a first SOC 202 estimator unit, a second SOC 203 estimator unit, a convergence calculator unit  2.04 weighted average _and a ... SOH 205 estimator unit.
The data storage unit 201 receives battery voltage, temperature and current data from the voltage sensor unit 101, temperature sensor unit 102 and current sensor unit 103, shown in Figure 1, in each SOH estimate and stores the data in memory 104.
The first SOC 202 estimator estimates SOC! ^{11} in each SOH estimation by an ampere counting mode using battery current data cumulatively stored in memory 104 and stores the estimated SOC _{T} ^{n} in memory 104. Here, n represents that the estimated SOH is nth SOH, which is identically applied below.
For reference, the ampere count mode is a method for accumulating a battery's charge / discharge current based on an initial battery capacity to obtain a current battery capacity, and calculate a relative ratio of a current capacity based on initial ability to estimate SOC. The ampere counting mode is well known in the art, so it is not described in detail here.
The second SOC 203 estimator unit calculates an open circuit voltage in each SOH estimation using a battery voltage variation pattern stored in memory 104, estimates SOCn ^{n} corresponding to the calculated open circuit voltage, and stores the SOCn ^{n} estimated in memory.
In more detail, the second SOC 203 estimator unit calculates an AOCV _{n} open circuit voltage variation of a battery using a battery voltage variation pattern, corrects the calculated battery open circuit voltage variation by applying a correction according to the temperature for the same, calculates an OCV ^{n} battery open circuit voltage at a present stage by reflecting the corrected battery open circuit voltage variation in a previously calculated aberfb circuit voltage  OCV ^{nl} , and  S0Ci _{r} ^{n} values corresponding to the calculated battery open circuit voltage and the battery temperature measured by using predefined correlations between an e_SOC ___20 opencircuit voltage and temperature and SOC. Also, the second SOC estimating unit 203 stores the estimated SOC _{n} ^{n} in memory 104.
The weighted average convergence calculator unit 204 calculates an estimated SOC variation based on an ampere counting mode and an estimated SOC variation using the battery voltage variation pattern according to the following mathematical Figures 1 and 2.
Mathematical figure 1
ASOC / = SOC! ^{n}  SOCA ^{1}
Where:
Δ3ΟΟ _{τ} ^{η} : variation of nth SOC, estimated by ampere counting mode,
SOCi ^{n} : SOC calculated in a current SOC estimation,
SOC _{T} ^{n_1} : SOC calculated in a last estimation of
SOC.
Mathematical figure 2
ACES _{XI} ^{n} = SOCn ^{n}  SOC _{xx} ^{n_1}
Where:
ASOC _{xx} ^{n} : variation of nth SOC, estimated by a
pattern of  voltage variation  battery,  
SOC _{XI} ^{n} : SOC  calculated  in an estimation of  SOC  
current,  
S0Cn ^{n_1} : SOC  calculated  in a last estimation  in  
SOC.  
Subsequently, the  calculator unit  in 
weighted average convergence 204 calculates an absolute ratio ROC_SOC ^{n} of ASOCxx ^{n} to ASOCxx ^{n} using the following mathematical Figure 3. Next, the absolute ratio is called a SOC variation ratio.
Mathematical figure 3
    SOC_Reason ^{n} =  ^{SOCri:}  I /  ASOCxf  _ _ _ _ _
Next, the weighted average convergence calculator unit 204 calculates a weighted average value for the ratio of — SOC Ratio_ _{soc} ^{n} variation using the following Mathematical Figure 4.
Mathematical figure 4
WMV _{n} = (Reason_ _{soc} ^{n_1} x weight + reason_ _{soc} ^{n} ) / (weight + 1)
The weighted average value MWV _{n} is converged to a certain
value to detail.  measure that  n is increased, as  explained below  in  
25  THE  Figure 6 is a graph  showing patterns  in  
variation  SOC _{x} ^{n}  and  SOC _{xx} ^{n} estimated under  the same condition  in 
loading / unloading in  one  initial stage of  battery usage.  With 
Referring to Figure 6, it would be understood that, at an early stage of battery usage, SOC estimated by an ampere counting mode 30 is not significantly different from SOC estimated based on a battery voltage variation pattern.
Figure 7 is a graph that shows variation patterns of SOC _{x} ^{n} and SOC _{xx} ^{n} under the same charge / discharge condition after a battery has been used for a certain time, namely, after a battery's capacity has been degraded to a certain extent. Score. With reference to Figure 7, it would be understood that, after the capacity of _ _2_0_ a battery is degraded to a certain extent, a difference between SOC estimated by an ampere counting mode and SOC estimated by a battery voltage variation pattern is increased .
As shown in Figures 6 and 7, in the event that a battery is charged / discharged in the same pattern, the SOC profile estimated by an ampere counting mode is not dependent on battery capacity degradation and has not been seriously changed. It means that SOC estimated by an ampere counting mode exhibits the same pattern of variation independent of battery capacity degradation if a battery charge / discharge pattern is maintained constantly.
Meanwhile, SOC estimated based on a battery voltage variation pattern shows that a SOC profile is changed greatly in proportion to the degradation of battery capacity. In other words, as the capacity of a battery is degraded, a battery voltage is quickly increased even with a small charge current and quickly decreased even with a small discharge current. Thus the SOC estimated based on a standardofvoltage variation of. battery is_ __qrandently_changed_of_accord with degradation of battery capacity. From that fact, it would be understood that if a battery capacity is degraded, a SOC variation estimated based on an open circuit voltage variation pattern is increased depending on the degree of battery capacity degradation although the battery is charged / discharged in the same pattern.
Figures 8 and 9 are graphs showing periodically weighted average values of SOC variation ratios by arbitrarily setting an initial weighted average value WMVI at different values while charge / discharge tests are performed for two batteries whose capacities are already known.
In Figure 8, A, B, C and D are graphs of weighted average values calculated in a state that an initial weighted average value WMV ^{1} is set at 1.0, 0.8, 0.66 and 0.3, respectively, for a battery with a capacity of 5.72 Ah. Here, 0.66 is an effective weighted average convergence value.
In Figure 9, A, B, C and D are graphs of weighted average values calculated in a state that an initial weighted average value WMV ^{1} is set at 1.4, 1.1, 0.95 and 0.6, respectively, for a battery with a capacity of 4.3 Ah. Here, 5 0.95 is an effective weighted average convergence value.
With reference to Figures 8 and 9, it would be understood that the weighted average value of the SOC ratio is converged identically to an effective convergence value independent of an initial weighted average value, and the value of 10 weighted average convergence is increased if the battery capacity is decreased. Thus, it would be fully understood that the weighted average convergence value can be a parameter that quantitatively represents a battery's capacity degradation.
Meanwhile, a weighted average convergence value of “ratio of variation” of ^{} S © C can = be obtained through loading and unloading experiments over a long period of time. However, under a condition of effective use of a battery when ^{} one ^{} va * lor "averageweightedofreason ..in 'variation jde JSOÇ_ is _20__obtido ponho_de in a specific time, a mathematical model must be used to estimate a value to which the weighted average SOC variation ratio will converge in the future.
Therefore, the weighted average convergence calculator unit 204 obtains a weighted average convergence value 25 WMV ^{n} by repeatedly calculating weighted average values of the SOC ratio as much as p, which is a sufficiently large number, through an average arithmetic progression weighted having a weighted average value of SOC ratio as an initial condition using the following 30 Mathematical Figure 5, and then stores the convergence value in memory 104. Here, WMV ^{n} represents a value to which the weighted average value is converged.
Mathematical figure 5
Weighted average arithmetic progression 35 WMV ^{n} k + 1 = (WMV ^{n} k_i x weight + WMV ^{n} _{k} ) / (weight + 1)
Initial condition of weighted average arithmetic progression
WMV _{k + 1} = (WMV _{k} _i x weight + WMV _{k} ) / (weight + 1))
In Mathematical Figure 5, k is an integer not less than 1. When k = 1, WMV ^{n} _{0} is defined as WMV— which is a weighted average convergence value of SOC 5 variation ratio obtained in a last stage. The number of times for calculating the weighted average arithmetic progression is defined in a large number over several thousand. An initial weighted average convergence value WMV is previously set when a battery is produced, and stored in memory 104 for reference.
The SOH 205 estimator unit reads a weighted average convergence value of SOC variation ratio from memory 104 and then estimates a battery capacity Capacity, in other words, the SOH 205 estimator unit calculates an estimated battery capacity Capacity corresponding the SOC = variationweighted average convergence value using a correlation between battery capacity and the SOCweighted average variation convergence value.
As an example, the correlation is a table of . query that defines battery capacity _for each value of 20 weighted average convergence of SOC variation ratio. As another example, the correlation can be a function using a weighted average convergence value of SOC variation ratio and battery capacity as an input parameter and an output parameter, respectively.
The correlation is obtained as follows. While charging / discharging experiments are carried out under the same conditions for a long period of time up to a sufficiently large number of batteries whose effective capacities are already known over a wide range, weighted average convergence values of SOC variation ratio are obtained. After that, the battery capacities corresponding to the weighted average convergence values of the SOC variation ratio obtained through the experiments are configured in a query table. In another case, a functional relationship between weighted average convergence values of SOC variation ratio and battery capacities is obtained through a numerical analysis using the SOC weighted average convergence values obtained as a result of the experiments, and the battery capacities known as input parameters and output parameters, respectively.
The SOH 205 estimator unit calculates a Capacity battery capacity corresponding to the weighted average convergence value of SOC variation ratio and then calculates a relative ratio of the calculated capacity Battery capacity with respect to an initial battery capacity ^{Initial} capacity according to following mathematical Figures 6 and 7. Then, the SOH 205 estimator unit estimates the result calculated as SOHn which is a parameter representing battery capacity degradation.
Mathematical figure 6
SOH = (capacity f ^{Initial} capacity) x 100
Mathematical figure 7
SOH = [(capacity ^{n } capacity ' ^{inilte} ) 4 (Capacity ^{starts 1} ^{Limit} capacity)] x 100
In mathematical Figures 6 and 7:
—SOH: “degradation of“ 'battery capacity currently estimated, _________ ____ ____ _______
Capacity: currently estimated battery capacity,
^{Initial} capacity: initial battery capacity, and
^{Limit} capacity: minimum allowable capacity for use in a battery.
SOH represents a current battery capacity as a relative ratio based on an initial battery capacity, so it becomes a parameter to determine how much battery life is left based on an initial battery capacity. Also, SOH can ^{not} be used for controlling a charge capacity / discharge of a battery. For example, if SOH ^{n} is decreased, a battery's charging capacity and discharge capacity may be decreased depending on the amount of variation in SOH ^{n} . In that case, it is possible to effectively prevent a battery from being overcharged or overcharged by charging or discharging a battery properly for its capacity.
The SOH estimator unit 205 can transmit the estimated SOH ^{n} to display 106. In this case, display 106 is coupled to microcontroller 105 via an interface. In addition, the SOH estimator unit 205 transmits SOH ^{n} to display 106 through the interface. Next, display 106 visually displays SOH ^{n} such that a user can recognize it.
Figure 3 is a block diagram showing a second SOC estimator unit for estimating SOC based on a battery voltage variation pattern in accordance with the present invention in more detail.
Referring to Figure 3, the second SOC 203 estimating unit includes an open circuit voltage variation calculator unit 2031, an open circuit voltage calculator unit 2032, and a SOC estimator unit 2033.
  The 2031 opencircuit voltagecalculatorvariation unit calculates an opencircuit voltage variation based on an opencircuit voltage in a last stage using a battery voltage variation pattern. To calculate a current battery open circuit voltage. In other words, the open circuit voltage variation calculator unit 2031 calculates how much a battery open circuit voltage in a current stage is changed based on the open circuit voltage in a last stage.
In detail, the open circuit voltage variation calculator unit 2031 reads a battery voltage V ^{n} measured in a current SOC estimate, a battery voltage V ^{n_1} measured in a last SOC estimate and a battery temperature T ^{n} measured in a current SOC estimation from memory 104. After that, the open circuit voltage variation calculator unit 2031 calculates an open circuit voltage variation AOCV ^{n} according to the following Mathematical Figure 8.
Mathematical figure 8
AVOC ^{n} = OCV ^{n}  OCV ^{n_1} = G (V) x F (T)
In Mathematical Figure 8, G (V) is an open circuit voltage variation operation function to map a battery voltage variation 'V ^{n} V ^{n} ' · ^{1} 'into an AOCV ^{n} open circuit voltage variation, and F (T) is an open circuit voltage correction function to correct the open circuit voltage variation AOCV ^{n} by reflecting a change in open circuit voltage according to temperature.
G (V) is a function not to convert a battery voltage variation to an open circuit voltage variation as it is, but to convert it while correcting a battery voltage error caused by an IR drop (namely, difference between a measured voltage and an effective voltage). In other words, if a change in battery voltage tends to increase, G (V) decreases the change in battery voltage and then transmits the decreased battery voltage change as a change in open circuit voltage. In addition, a battery voltage variation tends to be maintained as it was, G (V) transmits the battery voltage variation as a battery open circuit voltage variation as it stands. In addition, if a battery voltage variation tends to decrease, G (V) amplifies the battery voltage variation slightly and then transmits the slightly amplified battery voltage variation as a® ^{} open battery circuit voltage variation .______ ____ __________________
G (V) can be obtained by mathematically modeling a correlation between a battery voltage variation pattern and an open circuit voltage variation corresponding to it under a certain temperature condition. As an example, the mathematical modeling function can be obtained by analyzing a correlation that exists between a pattern of battery voltage variation V ^{n} , V ^{n_1} and v ^{n} ~ ^{2} and a variation of open circuit voltage ÁOCV ^{n} corresponding to it under a laboratory condition that allows measurement of battery voltage and battery open circuit voltage. The number of battery voltages setting a battery voltage variation pattern can be extended to four or more.
G (V) can be generalized as in the following Mathematical Figure 9.
Mathematical figure 9
G (V) = (V ^{n} V ^{n_1} ) xg (V ^{n} , V ^{n_1} , V ^{n} ~ ^{2} , ....)
Here g (V ^{n} , V ^{n_1} , V ^{n} “ ^{2} , ...) is a pattern function that defines a pattern of battery voltage variation. The symbol means that the pattern function can be defined using at least three battery voltages, including a battery voltage measured at a current stage. The pattern function is defined by analyzing a correlation between a plurality of battery voltage variations and experimentally obtained battery open circuit voltage variations. As an example, the function g can be defined as a ratio of a change in voltage in a last stage based on a change in voltage in a current stage. However, the present invention is not limited to any mathematical figure specific to the pattern function g.
Meanwhile, an internal battery resistance ^{J} changes depending on the temperature. If an internal resistance of a battery is changed, a battery voltage variation pattern and an open circuit voltage variation. battery are changed even under the same charge or discharge condition. F (T) corrects the open circuit voltage variation, calculated by G (V), according to a temperature condition. In other words, F (T) is „20 a function to correct an open circuit voltage variation  calculated“ put “GTV) in case 'a battery temperature is different from a temperature defined as a calculation condition of G (V). F (T) can be obtained by analyzing a correlation of variation between a battery voltage variation pattern and a battery open circuit voltage variation while changing the temperature at regular intervals. In other words, in a state that experimental conditions are defined in such a way that a pattern of battery voltage variation at each measurement temperature defined at regular intervals, for example, intervals 30 of 1 ° C, is identical, F (T ) can be obtained by measuring an amount of change from an AOCV ^{n} open circuit voltage variation based on AOCV ”obtained at a standard temperature and then applying mathematical modeling to the temperature and the amount of AOCV ^{n} change using the temperature T and the amount of change AOCV ^{n} as an input parameter and an output parameter, respectively. The obtained F (T) becomes a function that transmits a correction factor for a variation of battery open circuit voltage using the battery temperature T as an input parameter. For simplified calculation, it is possible to set up a lookup table with correction factors depending on each T value and then refer to a correction factor for each temperature, stored in the lookup table, to calculate a battery open circuit voltage variation .
The open circuit voltage calculator unit 2032 reads an open circuit voltage OCV ^{n_1} measured in a last SOC estimate from memory 104, and then adds the open circuit voltage variation AOCV ^{n} calculated by the voltage variation calculator unit of open circuit 2031 to OCV ^{n_1} to calculate an OCV ^{n} open circuit voltage in a last SOC estimation.
Preferably, the open circuit measuring unit ^ 20 = 32 calculates a weighted average value ^ V ^ vaiormédíÕ? between a battery voltage Vn and a battery voltage measured in a last stage using the following mathematical figure 10.
_ _ __ Mathematical figure 10  
V ^{n} (average value) ^{=} (Aj * Vl + A _{2} * V _{2} + ... + A _{n} _ _{1} * V _{n} i + A _{n} * V _{n} ) / A _{total} i___
Atotai = Αχ + A _{2} + A _{3} + ... + A _{n}
In Mathematical Figure 10, A _{k} is decreased as k increases. For example, in the case n = 100, A _{k} may have a value that starts at 100 and is decreased by 1. As an alternative example, in Mathematical Figure 10, Ai * V _{1} + A _{2} * V _{2} + ... + A _{k} _ _{2} * V _{k} _ _{2} (3 ^ k ^ n) can be omitted. Even in this case, the tendency to change A _{k} is maintained as above. For example, in the case of k = n, it is possible that A _{1} * V _{1} + A _{2} * V _{2} + ... + A _{n} _ _{2} * V _{n} _2 is set to 0 and a larger value is given to A _{n} _i instead of A _{n} . For example, 90 and 100 can be assigned to A _{n} _ _{x} and A _{n} , respectively.
The open circuit voltage calculator unit 2032 can correct the open circuit voltage again by adding a difference between the calculated weighted average value V ^{n} (average value) θ the OCV open circuit voltage _{n} _i estimated in a last SOC estimate for the calculated open circuit voltage OCV ^{n} for additional correction. If the weighted average value is calculated and used to correct an open circuit voltage additionally, an error in calculating the open circuit voltage can be decreased although a voltage output from battery 100 is quickly changed.
The SOC 2032 estimator unit maps and transmits S0Cn ^{n} corresponding to the open circuit voltage OCV ^{n} calculated by the open circuit voltage calculator unit 2032 and the temperature T ^{n} measured in a current SOC estimate from the SOC lookup table defining SOC for each temperature and each open circuit voltage, stored in memory 104.
An example of the SOC lookup table for each temperature and each open circuit voltage is shown in the following table 1.
Table 1
SOC  30 ° C  0 ° C  30 ° C  
0%  2.7V  2.78V  2.77V  
1%  2.82V  
2%  2.97V  ..     
“~“ The SOC ^{_} 2033 estfímadorà unit estimates SÕC _{TI} ^{n} by mapping a circuit voltage open_to_OCV ^{n} __e_a temperature — T ^{n}  —from ~ the lookup table where SOC for each temperature and each open circuit voltage is recorded as shown in table 1.
For example, if an open circuit voltage is 2.97 and a battery temperature is 30 ° C, it could be verified that SOC _{Ix} ^{n} is 2%. If S0Cu ^{n} is estimated in the above way, the SOC estimating unit 2033 stores the SOCn 'estimated in the memory 104.
Now, a method for estimating battery capacity degradation using a battery voltage variation pattern will be explained in detail based on the above.
Figure 4 is a flowchart illustrating a method for estimating SOH based on a battery voltage variation pattern in accordance with the present invention. In Figure 4, each step is performed by microcontroller 105 shown in Figure 1.
In step S10, it is determined whether there is a request for SOH estimation of a battery. The SOH estimation request can be entered from outside or automatically generated by a battery SOH estimator program.
If there is a request for battery SOH estimation as a result of S10 determination, a routine to estimate battery capacity degradation is initiated. On the contrary, if there is no request for battery SOH estimation, the process is terminated.
In step S20, a SOC Ratio_ _{soc} ^{n_1} variation ratio obtained as a last SOH estimate and recorded in memory is read.
Subsequently, in step S30, SOCi ^{n} is calculated using an ampere counting mode, and in step S40, a variation Δ3ΟΟ _{τ} ^{η} of SOC calculated by Ampere counting mode is calculated.
Next, in step S50, SOCu ^{11} is calculated based on a battery voltage variation pattern, and in step S60, an ASOCn variation of SOC calculated by the battery voltage variation pattern is calculated.   ”
After that, in step S70, a ratio of variation of SOC Ratio_ _{soc} ^{n} is calculated. And then in step S80, a weighted average value WMV ^{n} _ is obtained, using Ratio ^ oc ”' ^{1} and Ratio _{soc} ^{n} , and — in step S90, a weighted average convergence value WMV ^{n} is calculated and stored.
And then, in step S100, a Capacity ^{11} battery capacity corresponding to the weighted average convergence value of SOC variation ratio is estimated using the correlation between the weighted average convergence value of SOC variation ratio and the battery capacity.
Finally, in step S110, a relative battery capacity ratio estimates Capacity ^{11} is calculated based on an initial battery capacity ^{Initial} capacity, and the calculated relative ratio is estimated as SOH ^{n} , which is then stored or entered abroad.
If the above processes are completed, the procedure for estimating a battery's capacity degradation is complete.
Figure 5 is a flow chart that illustrates a process for estimating SOCn ^{n} based on a battery voltage variation pattern in step S50 of Figure 5. In Figure 5, each step is performed by microcontroller 105 shown in Figure 1.
With reference to Figure 5, first in the PIO stage, it is determined whether there is a request for SOCu ^{11} estimation. the request for estimation can be entered from abroad or automatically generated according to a program algorithm.
If there is a request for SOCu estimation in the PIO step, a SOC _{XI} ^{n} estimation step is performed. If there is no request for estimation of SOC _{Ix} ^{n} the process is terminated.
In step P20, a battery voltage variation pattern stored in memory is read. The battery voltage variation pattern includes at least V _{n} , V _{n} _ _{x} and V _{n} _ _{2} . After that, in step P30, an AOCV ^{n} open circuit voltage variation is calculated using the battery voltage variation pattern and a battery temperature. Here, the calculation method for a ^{} variation 'of' open circuit voltage AOCV ^{n} is already explained above.
Meanwhile, in the present invention, V ^{1} and V ^{2} as well as OCVhe OCV ^{2} · are ± nrci * al1zadÒs * rias ^{} battery voltages in a discharged state, __ measured__lo.go ___ before  abattery is connected to a charge. For example, if a battery is used for an electrically driven vehicle, V ^{1} and V ^{2} as well as OCV ^{1} and OCV ^{2} are defined as battery voltages measured when the vehicle is started using a key.
Then, in step P40, the open circuit voltage variation AOCV ^{n} is added to a last open circuit voltage OCV ^{1} to calculate an open circuit voltage present OCV. subsequently, in step P50 that can be selectively performed, a weighted average value of a present battery voltage V ^{n} and a last battery voltage V ^{n 1} is calculated, and a difference between the calculated weighted average value and the last circuit voltage open OCV ^{n_1} is added to the present open circuit voltage present OCV ^{n} to further correct the open circuit voltage OCV ^{n} . the method of calculation for weighted average value is already explained above.
Subsequently, in step S60, SOCu corresponding to the estimated open circuit voltage OCV ^{n} and the battery temperature T ^{n} is estimated by mapping from the lookup table where SOC for each temperature and each open circuit voltage is recorded, and the SOC _{ix} ^{n} estimated is stored in memory 104.
If the SOC ^{n} _{It} is estimated stored in memory
104, the SOC estimation process based on a battery voltage variation pattern is completed.
Experimental Example
In the following, the effects of the present invention will be explained based on the following experimental example. However, the following experimental example is only to illustrate the present invention, not intended to limit the scope of the invention.
For this experiment, 12 batteries whose effective capacities are already known have been prepared. Among the 15 12 batteries, a sixth battery_ had a capacity at that time initially produced. Thereafter, although each battery was charged / discharged for a sufficient time under the same charge / discharge conditions, a _ weighted average value of SOC variation ratio for each battery was 20 .__ obtained. — After — ÜSS07 —A correction between the weighted average convergence value of SOC variation ratio and the actual known battery capacity was obtained. The correlation was obtained as a function using numerical analysis. The function obtained here uses the SOC weighted average conversion value of 25 variation as an input parameter and the battery capacity as an output parameter.
After obtaining the correlation, while 12 batteries were charged / discharged under the same load / unloading, a convergence value of the weighted average was 30 calculated according to Math Figure 5 above using a 100 SOC measured variation ratio. After that, the weighted average convergence value was entered in the correlation function of each battery to calculate a battery capacity.
Figure 10 is a table showing the effective capacity of each battery, a percentage of the present capacity for an initial capacity of each battery, a weighted average convergence value of SOC variation ratio, a percentage of an estimated capacity for a capacity each battery, and an estimated capacity error based on an effective capacity, which are calculated during experiments.
With reference to Figure 10, the battery capacity estimated according to the present invention showed errors comprised of 5% in comparison with the effective capacity. Thus, it would be understood that the present invention allows estimation of SOH with high accuracy.
Industrial Applicability
According to the present invention, the capacity degradation of a battery can be precisely estimated. In addition, accurate estimation of battery capacity degradation can be applied in several ways such as estimating a battery change point. In addition, since the degradation of a battery's capacity, it is. preciselyestimatedandthe capacity of charge / discharge of the battery is controlled according to the degradation of capacity, it is possible to avoid overcharging or overdischarging, which further improves. battery safety. ____
2Θ  The present invention has been described in detail.
However, it should be understood that the detailed description and specific examples, while indicating preferred embodiments of the invention, are provided for illustration only, since various changes and modifications understood in the spirit and scope of the invention will become evident to those skilled in the art. from that detailed description.
Claims (21)
1. Apparatus for estimating SOH of a battery (100) based on a battery voltage variation pattern, the apparatus comprising:
a data storage unit (201) for obtaining and storing battery voltage, temperature and current data from a voltage sensor unit, a current sensor unit and a temperature sensor unit, which are coupled to a battery, whenever SOH is estimated;
characterized by additionally understanding:
a first SOC estimator unit (202) for estimating a first SOC by an Ampere counting mode using the stored battery current data;
a second SOC estimator unit (203) to estimate an open circuit voltage from the stored battery voltage variation pattern, and calculate and store a second SOC corresponding to the estimated open circuit voltage and battery temperature using correlations between the open circuit voltage and SOC and between battery temperature and SOC;
a weighted average convergence calculator unit (204) for calculating and storing a convergence value for a weighted average value of a ratio, or a SOC variation ratio, from a variation of the second SOC to a variation of the first SOC; and a SOH estimator unit (205) to estimate a battery capacity corresponding to the stored weighted average convergence value of the SOC variation ratio using a correlation between the SOC weighted average convergence value and the battery capacity , estimate a relative ratio of the estimated battery capacity to an initial battery capacity, and store the relative ratio as SOH.
2. Apparatus for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 1, characterized by the fact that:
the correlation between the weighted average convergence value of the SOC variation ratio and the battery capacity is
Petition 870190068320, of 07/18/2019, p. 10/17 a lookup table in which battery capacities are defined for each weighted average convergence value of SOC variation ratio; and where the SOH estimator unit (205) estimates a battery capacity that corresponds to the stored weighted average convergence value of the SOC variation ratio when mapping from the lookup table.
3. Apparatus for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 1, characterized by the fact that:
the correlation between the weighted average convergence value of the SOC variation ratio and the battery capacity is a function using the weighted average convergence value of the SOC variation ratio and the battery capacity as an input parameter and a parameter of output, respectively, and where the SOH estimator unit (205) estimates a battery capacity by replacing the stored weighted average convergence value of the SOC variation ratio as the function input parameter.
4. Apparatus for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 1, characterized by the fact that:
the SOH estimator unit (205) calculates a relative ratio based on a minimum allowable battery capacity when a relative ratio of a current battery capacity to an initial battery capacity is calculated.
5. Apparatus for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 1, characterized by the fact that the second SOC estimator unit (203) includes:
an open circuit voltage variation calculator unit (2031) to calculate an open circuit voltage variation based on a variation pattern of stored battery voltages measured today and in the past by applying a mathematical model that defines the correlation between the battery voltage variation pattern and open circuit voltage variation, and estimate an open circuit voltage variation in a
Petition 870190068320, of 07/18/2019, p. 11/17 current stage when reflecting a correction factor that corresponds to the battery temperature in the calculated open circuit voltage variation;
an open circuit voltage calculator unit (2032) for estimating a battery open circuit voltage at a current stage by reflecting the estimated open circuit voltage variation in an estimated battery open circuit voltage at a last stage; and a SOC estimator unit (2033) for estimating and storing SOC corresponding to the estimated open circuit voltage and the temperature measured when using the correlations between open circuit voltage and SOC and between temperature and SOC.
6. Apparatus for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 5, characterized by the fact that the open circuit voltage calculator unit (2032) corrects a circuit voltage open when adding a difference between an average weight value, a higher weight is provided as battery voltage is measured previously, for current and previous battery voltages and an open circuit voltage in a last stage for the estimated open circuit voltage in a current stage.
7. Apparatus for estimating SOH of a battery with
claim 5, characterized by the fact that the estimated open circuit voltage variation is calculated by multiplying the open circuit voltage variation calculated by the correction factor according to the temperature.
9. Apparatus for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 5, characterized by the fact that the battery voltages configuring the variation pattern include at least
Petition 870190068320, of 07/18/2019, p. 12/17 voltages Vn, Vni and Vn2 measured in a current stage, in a last stage and in the stage before the last one.
10. Apparatus for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 5, characterized by the fact that the mathematical model is defined by a mathematical operation between a battery voltage variation between a current stage and a previous stage and a pattern function defined by each voltage in the battery voltage variation pattern.
11. Apparatus for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 5, characterized by the fact that the correction factor is calculated when replacing a battery temperature as an input parameter of a mathematical model using the battery temperature (T) as an input parameter and the correction factor of the battery open circuit voltage variation as an output parameter.
12. Method for estimating SOH of a battery based on a battery voltage variation pattern, the method comprising:
additionally:
from the stored battery voltage variation pattern, and calculate and store a second SOC corresponding to the estimated open circuit voltage and battery temperature using correlations between open circuit voltage and SOC and between battery temperature and SOC;
Petition 870190068320, of 07/18/2019, p. 13/17 (d) calculating and storing a convergence value for a weighted average value of a ratio, or a SOC variation ratio, from a variation of the second SOC to a variation of the first SOC; and (e) estimate a battery capacity corresponding to the stored weighted average convergence value of the SOC variation ratio using a correlation between the SOC weighted average convergence value and the battery capacity, estimate a relative ratio of the estimated battery capacity for initial battery capacity, and store the relative ratio as SOH.
13. Method for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 12, characterized by the fact that in step (e), the battery capacity is estimated by mapping a battery capacity battery that corresponds to the weighted average convergence value stored in the SOC variation ratio with reference to a lookup table in which the battery capacities are defined for each SOC weighted average variation convergence value.
14. Method for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 12, characterized by the fact that in step (e), the battery capacity is estimated by replacing the value of Weighted average convergence of the SOC variation rate as an input parameter of a function using the SOC weighted average convergence value and the battery capacity as an input parameter and an output parameter, respectively.
15. Method for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 12, characterized by the fact that in step (e), the relative ratio is calculated based on a capacity of minimum allowable battery when a relative ratio of current battery capacity to initial battery capacity is calculated.
16. Method to estimate SOH of a battery based on a battery voltage variation pattern, according to
Petition 870190068320, of 07/18/2019, p. 14/17 to claim 12, characterized by the fact that step (c) includes:
to calculate a variation of open circuit voltage from a pattern of variation of stored battery voltages measured today and in the past by applying a mathematical model that defines the correlation between the pattern of variation of battery voltage and the variation of circuit voltage Open;
estimate an open circuit voltage variation at a current stage by reflecting a correction factor that corresponds to the battery temperature in the calculated open circuit voltage variation;
estimate a battery open circuit voltage at a current stage by reflecting the estimated open circuit voltage variation at an estimated battery open circuit voltage at a last stage; and estimate and store SOC corresponding to the estimated open circuit voltage and the temperature measured using the correlations between open circuit voltage and SOC and between temperature and SOC.
17. Method for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 16, characterized by the fact that it additionally comprises correcting an open circuit voltage by adding a difference between a weighted average value , a higher weight is provided as battery voltage is measured previously, for the current and previous battery voltages and an open circuit voltage in a last stage to the estimated open circuit voltage in a current stage.
18. Method for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 17, characterized by the fact that the previous battery voltage is a battery voltage measured in a last stage.
19. Method for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 16, characterized by the fact that the estimated open circuit voltage variation is calculated by multiplying the
Petition 870190068320, of 07/18/2019, p. 15/17 open circuit voltage variation calculated by the correction factor according to the temperature.
20. Method for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 16, characterized by the fact that the battery voltages configuring the variation pattern include at least Vn, Vn 1 and Vn2 measured at a current stage, a last stage and the stage before the last one.
21. Method for estimating SOH of a battery based on a battery voltage variation pattern according to claim 16, characterized by the fact that:
the mathematical model is defined by a mathematical operation between a battery voltage variation between a current and a previous stage and a pattern function defined by each voltage in the battery voltage variation pattern, where the mathematical model is defined by a mathematical operation of a pattern function defined by a change in battery voltage between a current stage and a previous stage and each voltage in the battery voltage change pattern.
22. Method for estimating SOH of a battery based on a battery voltage variation pattern, according to claim 16, characterized by the fact that the correction factor is calculated when replacing a battery temperature as an input parameter of a mathematical model using the battery temperature (T) as an input parameter and the correction factor of the battery open circuit voltage variation as an output parameter.
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