WO2017085869A1 - 容量維持率推定装置又は容量維持率推定方法 - Google Patents
容量維持率推定装置又は容量維持率推定方法 Download PDFInfo
- Publication number
- WO2017085869A1 WO2017085869A1 PCT/JP2015/082718 JP2015082718W WO2017085869A1 WO 2017085869 A1 WO2017085869 A1 WO 2017085869A1 JP 2015082718 W JP2015082718 W JP 2015082718W WO 2017085869 A1 WO2017085869 A1 WO 2017085869A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- battery
- current
- value
- capacity maintenance
- maintenance rate
- Prior art date
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 86
- 238000000034 method Methods 0.000 title claims description 15
- 238000004364 calculation method Methods 0.000 claims abstract description 81
- 230000010354 integration Effects 0.000 claims abstract description 38
- 238000001514 detection method Methods 0.000 claims abstract description 33
- 230000010287 polarization Effects 0.000 claims description 10
- 230000014759 maintenance of location Effects 0.000 claims description 2
- 230000000875 corresponding effect Effects 0.000 description 13
- 230000007423 decrease Effects 0.000 description 12
- 230000006866 deterioration Effects 0.000 description 12
- 239000000203 mixture Substances 0.000 description 10
- 239000002131 composite material Substances 0.000 description 6
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000007599 discharging Methods 0.000 description 4
- 238000012417 linear regression Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical group [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 229910001416 lithium ion Inorganic materials 0.000 description 1
- 230000008929 regeneration Effects 0.000 description 1
- 238000011069 regeneration method Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 230000036962 time dependent Effects 0.000 description 1
Images
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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
-
- 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]
-
- 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]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/50—Manufacturing or production processes characterised by the final manufactured product
Definitions
- the present invention relates to a battery capacity maintenance rate estimation device or a battery capacity maintenance rate estimation method.
- Battery capacity calculation methods that can calculate battery capacity are known. This battery capacity calculation method calculates a current integrated charging rate change amount based on a sensor current integrated value during a predetermined current integration period within a battery charging period, and starts a predetermined current integration period based on a battery state quantity. Then, the open circuit voltage at the end is estimated, the charge rate at the start and end of the predetermined current integration period is obtained from the estimated open circuit voltage, and the change in open circuit voltage charge rate is calculated from the difference between the two. Then, a capacity maintenance rate that is a ratio of the current integrated charging rate change amount to the open circuit voltage charging rate change amount is calculated, and the battery capacity of the battery is calculated by multiplying the initial battery capacity of the battery by the capacity maintenance rate (Patent Document 1). ).
- the problem to be solved by the present invention is to provide a capacity maintenance ratio estimation apparatus and capacity maintenance ratio estimation method with high capacity maintenance ratio estimation accuracy.
- the present invention specifies a period from a first time point when the absolute value of the battery current is close to 0 ampere to a second time point when the absolute value of the battery current is close to 0 ampere as an integration period, and
- the integrated value of the current is calculated, the first open voltage at the first time point and the second open voltage at the second time point are calculated based on the detection voltage of the battery, and the first open voltage and the second open voltage are calculated.
- the capacity maintenance rate of the battery is estimated based on the voltage difference and the integrated value satisfying a predetermined condition, the integrated value is not less than a predetermined lower limit value, and the average value of the battery current in the integration period is not less than the predetermined value.
- the above-mentioned problem is solved by making the predetermined condition to be.
- the capacity maintenance rate is calculated using the current integrated value that has little influence on the detection error of the sensor, there is an effect that the estimation accuracy of the capacity maintenance rate can be improved.
- FIG. 1 is a block diagram of a battery pack provided with a capacity maintenance rate estimation device according to this embodiment.
- the capacity maintenance rate estimation device is a device for estimating the capacity maintenance rate (corresponding to the degree of deterioration) of the battery.
- the capacity maintenance rate estimation device is mounted in the battery pack.
- the capacity maintenance rate estimation device does not necessarily have to be mounted in the battery pack, and may be provided outside the battery pack.
- the battery pack 1 includes a cell 10 and a battery controller 20.
- the battery pack 1 is a device in which a secondary battery and a controller are modularized.
- the battery pack 1 is used as a vehicle power source or a stationary power source.
- the cell 10 includes a battery 11, a current sensor 12, a voltage sensor 13, and a temperature sensor 14.
- the battery 11 is an assembled battery in which a plurality of secondary batteries are connected in series or in parallel.
- the battery 11 outputs electric power to the load connected to the battery pack 1.
- the battery 11 can be charged by a charger connected to the battery pack 1.
- the battery 11 may be charged by load regeneration.
- the secondary battery is a lithium ion battery or the like.
- the current sensor 12 detects the charging current and discharging current of the battery 11.
- the voltage sensor 13 detects the voltage of the battery 11.
- the temperature sensor 14 is installed in the vicinity of the battery 11 and detects the temperature of the battery 11. Detection values of the current sensor 12, the voltage sensor 13 and the temperature sensor 14 are output to the battery controller 20.
- the battery controller 20 manages the state of the battery 11 based on the detection values of the current sensor 12, the voltage sensor 13, and the temperature sensor 14.
- FIG. 2 is a block diagram of the battery controller 20.
- the battery controller 20 includes a CPU, a ROM, a RAM, and the like.
- the battery controller 20 is a functional block for operating the state management function of the battery 11, and includes a zero current time point specifying unit 21, a current integrated value calculating unit 22, an average current calculating unit 23, an estimation condition determining unit 24, ⁇ SOC-i.
- a calculation unit 25, an OCV calculation unit 26, a ⁇ SOC-v calculation unit 27, a capacity maintenance rate calculation unit 28, and a full charge capacity calculation unit 29 are provided.
- the zero current time point specifying unit 21 specifies the time point when the absolute value of the battery current is near 0 amperes as the zero current time point based on the current detected by the current sensor 12.
- the vicinity of 0 ampere indicates a range of 0 or more and less than a predetermined value.
- the predetermined value is a value by which it can be determined that the charge / discharge current of the battery 11 is zero, in other words, a value by which it can be determined that the battery 11 is not loaded (not charged / discharged).
- the predetermined value is set in advance according to the error of the current sensor 12 or the property of the battery 11.
- the discharging current or charging current of the battery 11 changes in time series according to how the battery 11 is used. Therefore, the zero current point is specified in time series.
- the current integrated value calculation unit 22 calculates the integrated value of the battery current in the integration period by specifying the time between the plurality of zero current points as the integration time and integrating the detection current of the current sensor 12.
- the average current calculation unit 23 calculates the average current of the battery 11 during the integration period based on the detection current of the current sensor 12.
- the estimation condition determination unit 24 determines whether or not the current integration value in the integration period satisfies the estimation condition.
- the estimation condition is a condition indicating that the integrated current value is a value suitable for estimating the capacity maintenance rate.
- the estimation condition is that the current integrated value in the integration period is greater than or equal to a predetermined lower limit, and the average current in the integration period is greater than or equal to the average current threshold.
- the lower limit value of the integrated current value and the average current threshold value are set in advance according to the error range of the current sensor 12.
- the integrated current value that does not satisfy the estimation condition is not a value suitable for estimating the capacity maintenance rate, and is excluded from the calculation target.
- the ⁇ SOC-i calculating unit 25 calculates the difference in SOC corresponding to the current integrated value that satisfies the estimation condition. That is, the ⁇ SOC-i calculation unit 25 divides the current integration amount (Ah) from the start point to the end point of the integration period by the full charge capacity (Ah) when the battery is new, so that the interval from the start point to the end point of the integration period is obtained. The amount of change in the SOC is calculated.
- the OCV calculation unit 26 calculates the open circuit voltage at the time of zero current based on the detection voltage of the voltage sensor 13. The start point and end point of the integration period are the zero current point.
- the OCV calculation unit 26 can calculate the open circuit voltage for each of the start point and the end point of the integration period while minimizing the influence of the internal resistance of the battery 11 that varies depending on the temperature and the degree of deterioration.
- the open circuit voltage is also referred to as OCV (OpenOCircuit Voltage).
- the ⁇ SOC-v calculation unit 27 calculates the voltage difference between the open circuit voltage at the start point of the integration period and the open circuit voltage at the end point of the integration period.
- the ⁇ SOC-v computing unit 27 computes the SOC difference corresponding to the computed voltage difference. That is, the ⁇ SOC ⁇ v calculating unit 27 calculates the amount of change in SOC from the start point to the end point of the integration period based on the difference between the open circuit voltage at the start point and the end point of the integration period.
- the capacity maintenance rate calculating unit 28 Based on the SOC difference ( ⁇ SOC ⁇ i) calculated by the ⁇ SOC ⁇ i calculating unit 25 and the SOC difference ( ⁇ SOC ⁇ v) calculated by the ⁇ SOC ⁇ v calculating unit 27, the capacity maintenance rate calculating unit 28 To calculate the capacity maintenance rate.
- the capacity maintenance rate calculation unit 28 divides the SOC difference ( ⁇ SOC ⁇ i) calculated by the ⁇ SOC ⁇ i calculation unit 25 by the SOC difference ( ⁇ SOC ⁇ v) calculated by the ⁇ SOC ⁇ v calculation unit 27 to obtain the current Calculate capacity retention rate. That is, the capacity maintenance rate is estimated by the calculation by the ⁇ SOC-i calculation unit 25, the calculation by the ⁇ SOC-v calculation unit 27, and the calculation by the capacity maintenance rate calculation unit 28. Then, the full charge capacity calculation unit 29 calculates the current full charge capacity of the battery 11 based on the current capacity maintenance rate and the initial full charge capacity of the battery 11.
- FIG. 3 is a flowchart showing the control flow of the battery controller 20. Note that the control flow shown in FIG. 3 is repeatedly executed at the timing when the zero current point is specified.
- step S1 the current integrated value calculation unit 22 calculates the current integrated value from the previous zero current time point to the current zero current time point.
- step S2 the average current calculator 23 calculates the average current from the previous zero current time point to the current zero current time point.
- step S3 the estimation condition determination unit 24 determines whether or not the current integrated value is within a range from a predetermined lower limit value or more to an upper limit value or less. If the current integrated value is less than the lower limit value, or if the current integrated value is greater than the upper limit value, the control flow ends. When the current integrated value is within the range from the lower limit value to the upper limit value, the control flow proceeds to step S4.
- step S4 the estimation condition determination unit 24 determines whether or not the average current value is equal to or greater than a predetermined average current threshold. If the average current value is less than the average current threshold, the control flow is terminated. If the average current value is greater than or equal to the average current threshold, the control flow proceeds to step S5.
- FIG. 4 is a graph showing the relationship between the integrated current value and the amount of change in the open circuit voltage.
- Graph a shows the characteristics of the battery 11 when it is new.
- Graph b shows the characteristics when the full charge capacity of the battery 11 is halved.
- the measured values are plotted at points as shown in FIG.
- the amount of change in OCV with respect to the integrated current value increases as the full charge capacity decreases, and the slope of the graph increases.
- the integrated current value corresponds to the amount of change in the remaining charge amount of the battery 11.
- the OCV has a correlation with the SOC (State Of: Charge: the ratio of the remaining charge amount to the charge amount at the time of full charge), and thus the change amount of the OCV corresponds to the change amount of the SOC of the battery 11.
- the current integrated value corresponding to the change amount of the remaining charge amount and the change amount of the OCV corresponding to the SOC are correlated.
- the integrated current value which is the amount of change in the remaining charge amount
- the OCV corresponding to the change amount in SOC decreases due to battery deterioration.
- the amount of change increases.
- OCV and SOC are substantially synonymous.
- the OCV change amount is small.
- the influence of the error of the current sensor 12 becomes large with respect to the change amount of the OCV because the change amount of the OCV is small. That is, when the integrated current value is small, it is difficult to determine whether the change in the OCV is a change due to charging / discharging of the battery 11 or a change due to an error in the current sensor. Therefore, in the present embodiment, the lower limit value of the current integrated value is set as the estimation condition.
- FIG. 5 is a graph showing the relationship between the detection value of the current sensor and the error.
- the error characteristic of the current sensor 12 is a quadratic curve with the error at the time of zero current being the minimum value. That is, the error increases as the absolute value of the current value increases.
- the current sensor error accumulates, and the influence of the error on the current integrated value increases. Therefore, in this embodiment, the upper limit value of the current integrated value is set as the estimation condition.
- the influence of the error of the current sensor 12 becomes large with respect to the change amount of the OCV.
- the influence of the error on the current integrated value due to the error of the current sensor becomes large. For this reason, the upper limit value and the lower limit value of the current integrated value are determined in advance by experiments or the like so that the influence of the error of the current sensor can be suppressed.
- the calculation formula for the capacity maintenance rate of the battery 11 uses the SOC difference ( ⁇ SOC ⁇ v) based on the open circuit voltage as the numerator and the SOC difference ( ⁇ SOC ⁇ i) based on the integrated current value as the denominator. From the characteristics shown in FIG. 5, when the current (charge / discharge current) of the battery 11 is small, the error in the detected current value is small. In the calculation formula of the capacity maintenance ratio, the error component of the detected current value affects the denominator. Therefore, the smaller the detected current value error, the smaller the influence of the capacity maintenance ratio on the calculated value. Therefore, in this embodiment, an average current threshold is set as the estimation condition.
- FIG. 6 is a graph showing changes in current over time.
- the integrated current value is in the range from the lower limit value to the upper limit value.
- an average current threshold is set as the estimation condition. In the current change as shown in FIG. 6, since the average current is less than the average current threshold, the estimation condition is not satisfied.
- step S3 and step S4 when the estimation condition is satisfied, the OCV calculation unit 26 calculates the open circuit voltage (OCV 1 ) at the previous zero current time and the open circuit voltage (OCV 2 ) at the current zero current time. Calculate.
- FIG. 7 is a graph showing battery 11 current change (current change shown in FIG. 7A) and voltage change (voltage change shown in FIG. 7B) before and after the zero current point (t a ).
- the charging current of the battery 11 becomes zero at time t a.
- Voltage of the battery 11 is begins to decrease at time t a, the polarization phenomenon, does not fall completely at time t a.
- Voltage of the battery 11 is lowered gradually and time t a later.
- the polarization is nearly eliminated, the voltage of the battery 11 becomes a voltage fully down. That is, during the time t a to time t b becomes polarized period, the battery voltage is unstable.
- the open circuit voltage is calculated based on the detected voltage during the polarization period, it also causes a calculation error.
- the OCV calculation unit 26 calculates the open circuit voltage based on the detection voltage after the elapse of a predetermined polarization period from the zero current point.
- the polarization period is set in advance according to the characteristics of the battery 11.
- the OCV calculating part 26 may set the length of polarization time according to the magnitude
- SOC state of charge
- the ⁇ SOC-v calculation unit 27 stores this correlation as a map in advance, and calculates the SOC with reference to the map.
- the ⁇ SOC-v calculating unit 27 calculates the difference between the SOC 2 by calculating the difference between the SOC 2 corresponding to the current open circuit voltage (OCV 2 ) and the SOC 1 corresponding to the previous open circuit voltage (OCV 1 ). ( ⁇ SOC ⁇ v) is calculated.
- step S7 the ⁇ SOC-i calculation unit 25 calculates the SOC change amount ( ⁇ SOC-i) by an arithmetic expression expressed by the ratio of the current integrated value to the full charge capacity of the current battery 11.
- step S8 the capacity maintenance ratio calculation unit 28 calculates the capacity maintenance ratio by an arithmetic expression represented by a ratio of the SOC change amount ( ⁇ SOC-v) to the SOC change amount ( ⁇ SOC-i).
- the full charge capacity calculation unit 29 calculates the current full charge capacity by multiplying the initial full charge capacity by the current capacity maintenance rate.
- the period from the first time point when the absolute value of the battery current is close to 0 ampere to the second time point when the absolute value of the battery current is close to 0 ampere is specified as the integration period.
- the integrated value of the battery current in the integration period is calculated, the first open voltage at the first time point and the second open voltage at the second time point are calculated based on the detected voltage of the battery, and the first open voltage and the second open voltage are calculated.
- the capacity maintenance rate of the battery is estimated based on the voltage difference between and the integrated value satisfying the estimation condition.
- the capacity maintenance rate is calculated using the integrated current value that has a small influence on the detection error of the sensor, so that the estimation accuracy of the capacity maintenance rate can be increased.
- FIG. 8 is a graph showing the relationship between the integrated current value and the calculation error.
- rhombuses are plots of measurement values of calculation errors with respect to current integrated values.
- the capacity maintenance rate is calculated using a calculation method (hereinafter also referred to as a ⁇ SOC calculation method) executed in the control flow shown in FIG.
- the integrated current value is not limited to the above-described estimation condition, and is set to a wide range while being at least higher than zero.
- the calculation error corresponds to the difference between the calculated value calculated using the SOC calculation method and the actual capacity maintenance rate. Then, the lower limit value of the allowable calculation error is C L and the upper limit value is C H.
- the calculation error becomes the largest when the integrated current value is close to zero. As the absolute value of the current integrated value increases, the calculation error decreases. Further, when the absolute value of the current integrated value increases, the calculation error increases again at a predetermined region.
- a graph such as graph a is obtained. Then, the range A indicated by the intersection of the approximate curve a and the upper limit value C H of the operation error, a range of calculation error becomes smaller that against the accumulated current value. Range A is the same range with the range indicated by the intersection of the approximate curve a lower limit value C L of the calculation error.
- the upper limit value and lower limit value of the current integrated value corresponding to the range A are set to the upper limit value and lower limit value of the current integrated value in the estimation condition.
- the calculation error is smaller than the error outside the range A.
- the period between the zero current points is set as the period for which the capacity maintenance rate is calculated.
- the relationship between the calculation method and the SOC error will be described with reference to FIG.
- a method for calculating the SOC a method for calculating the SOC from the current integrated value and the open circuit voltage is conceivable. That is, in this method, the SOC obtained from the open circuit voltage (hereinafter referred to as SOC-v) and the SOC obtained from the current integrated value (hereinafter referred to as SOC-i) are added at a predetermined ratio (weighted synthesis). In the following, it is also referred to as a blend method. In the blend type SOC calculation method, when the current value is relatively small, the SOC-v ratio is set to a large ratio, and the SOC-i ratio is set to a small ratio.
- the SOC-i ratio is set to a large ratio, and the SOC-v ratio is set to a small ratio. Then, the SOC is calculated by adding the set SOC-i ratio and the set SOC-v ratio.
- a blend-type SOC calculation method is a well-known calculation method as described in JP 2013-217899 A, for example, and will not be described in detail below.
- the SOC calculation method is described as a blend method in which SOC-v and SOC-i are added at a predetermined ratio, but the SOC calculation method is not limited to the blend method. For example, an SOC calculation method that employs either SOC-v or SOC-i as the SOC according to the current value may be used.
- FIG. 9 shows the SOC error when the SOC is calculated by the blend method.
- a period from time t A to time t B is a period in which the current decreases, and a period from time 0 to time t A and a period after time t B are periods in which the current increases. Assume that the zero current time point is within the period from time t A to time t B.
- the composite ratio of SOC-i is large and the composite ratio of SOC-v is small.
- the SOC-v composition ratio is large and the SOC-i composition ratio is small.
- the composition ratio corresponds to a ratio to the total ratio obtained by adding the SOC-i ratio and the SOC-v ratio.
- the composite ratio of SOC-i based on the current integrated value is high starting from time 0, errors due to the current sensor 12 accumulate with the passage of time. If the composite ratio of SOC-i based on the current integrated value remains high after time t A , the error is increased and the current error is further increased even if the current is reduced.
- the blend method increases the SOC-v composite ratio when the current value is small, the open circuit voltage is calculated based on the voltage at the time of zero current, and the SOC-v calculated using this open circuit voltage is calculated. Since the composite ratio increases, the calculation of the SOC based on the open circuit voltage at the time of zero current corrects the SOC error based on the integrated current value. In other words, in the blend method, the SOC estimation error based on the integrated current value is corrected by estimating the SOC based on the open circuit voltage at the time of the zero current point. As a result, the calculation accuracy of the full charge capacity can be improved.
- the range from the integrated value above the predetermined lower limit value to the upper limit value is set as the estimation condition.
- the capacity maintenance rate is calculated using the integrated current value that has a small influence on the detection error of the sensor, so that the estimation accuracy of the capacity maintenance rate can be increased.
- the estimation condition determination unit 24 may set a lower limit value of the current integrated value included in the estimation condition based on the estimated value of the capacity maintenance rate.
- FIG. 10 is a graph showing an example of a current change (change shown in FIG. 10A) and a voltage change (change shown in FIG. 10B) of the battery 11.
- the current and voltage changes shown in FIG. 10 are changes when the battery is charged from a certain state of charge (SOC S ).
- Graph a shows the current change in the initial state (before deterioration), and graph b shows the deterioration.
- the subsequent current change is shown.
- the time t p is in the battery 11 in the initial state, represents the time that current integration value accumulated from the time t 0 has reached the lower limit value of the estimated conditions.
- an upper limit value (SOC H ) of the SOC is set in advance for the purpose of protecting the battery 11.
- the battery controller 20 manages the battery 11 so that the SOC of the battery 11 does not become higher than the upper limit value (SOC H ).
- the integrated value of the charging current reaches the lower limit value of the estimation condition before the SOC reaches SOC H. Therefore, the current integrated value are stacked in from time t 0 to time t p, it can be used for estimation control of the capacity maintenance ratio.
- the full charge capacity is reduced. Therefore, when the charging current is set to the same value, the amount of change in the SOC after deterioration (corresponding to the slope of the graph in FIG. 11B) is initial. It becomes larger than the amount of change in SOC in the state (before deterioration). Then, before the integrated value of the charging current reaches the lower limit value of the estimation condition, the SOC reaches the upper limit value (SOC H ) at the time tq , and the charging current becomes lower. Therefore, the frequency of estimating the capacity maintenance rate is reduced.
- the characteristic shown in FIG. 11 is an example of current and voltage changes when the battery is charged from a certain voltage (V S ), as in FIG. 10, and graph a shows the characteristic in the initial state (before deterioration).
- the graph b shows the characteristic after deterioration.
- the time t p is in the battery 11 in the initial state, represents the time that current integration value accumulated from the time t 0 has reached the lower limit value of the estimated conditions.
- an upper limit value (V H ) and a lower limit value (V L ) of the voltage are set in advance for the purpose of protecting the battery 11.
- the battery controller 20 manages the battery 11 so that the voltage of the battery 11 does not become higher than the upper limit value (V H ).
- the integrated value of the charging current reaches the lower limit of the estimated conditions. Therefore, the current integrated value are stacked in from time t 0 to time t p, it can be used for estimation control of the capacity maintenance ratio.
- the characteristic shown in FIG. 12 is an example of the current and SOC change when the battery is discharged from a certain charged state (SOC S ).
- Graph a shows the current change in the initial state (before deterioration), and graph b. Indicates SOC change after degradation.
- the time t p is in the battery 11 in the initial state, represents the time that current integration value accumulated from the time t 0 has reached the lower limit value of the estimated conditions.
- a lower limit value (SOC L ) of the SOC is set in advance for the purpose of protecting the battery 11.
- the battery controller 20 manages the battery 11 so that the SOC of the battery 11 does not become lower than the lower limit value (SOC L ).
- the integrated value of the discharge current reaches the lower limit value of the estimation condition before the SOC reaches the SOC L. Therefore, the current integrated value are stacked in from time t 0 to time t p, it can be used for estimation control of the capacity maintenance ratio.
- the full charge capacity is reduced. Therefore, when the discharge current is set to the same value, the amount of change in the SOC after deterioration (corresponding to the slope of the graph in FIG. 11B) is initial. It becomes larger than the change amount of the SOC of the state. Then, before the integrated value of the discharge current reaches the lower limit value of the estimation condition, the SOC reaches the lower limit value (SOC L ) at time tq , and the discharge current becomes zero. Therefore, the frequency of estimating the capacity maintenance rate is reduced.
- the estimation condition determination unit 24 decreases the lower limit value of the estimation condition based on the estimated value of the capacity maintenance rate. Specifically, the estimation condition determination unit 24 decreases the lower limit value of the estimation condition as the capacity maintenance rate decreases. Alternatively, the estimation condition determination unit 24 decreases the lower limit value of the estimation condition when the capacity maintenance rate is lower than a predetermined value. Thereby, even when the battery 11 is deteriorated, the calculation frequency of the capacity maintenance rate can be secured.
- the estimation condition determination unit 24 sets a lower limit value of the estimation condition based on the internal resistance of the battery 11 or the usage period of the battery 11 instead of the estimated value of the capacity maintenance rate. Specifically, the estimation condition determination unit 24 decreases the lower limit value of the estimation condition as the internal resistance increases or the usage period increases. Alternatively, the estimation condition determination unit 24 makes the lower limit value of the estimation condition smaller than the predetermined value when the internal resistance is higher than the predetermined value or when the usage period is longer than the predetermined time.
- the estimation condition determination unit 24 includes that the current integrated value is within a range from the lower limit value to the upper limit value and that the average current value is less than the average current threshold value.
- the fact that the detected voltage of the temperature sensor 14 is equal to or higher than a predetermined temperature threshold is added to the estimation condition.
- FIG. 13 is a graph showing the characteristics of the internal resistance with respect to the temperature of the battery 11. As shown in FIG. 13, as a characteristic of the battery 11, when the temperature of the battery 11 is equal to or higher than a predetermined value, the internal resistance of the battery 11 changes at a constant value. On the other hand, when the temperature of the battery 11 is less than the predetermined value, the internal resistance increases as the temperature of the battery 11 decreases. Moreover, the error of the temperature sensor 14 increases due to the increase in internal resistance in the low temperature region.
- the OCV calculating unit 26 calculates the open circuit voltage
- an internal resistance is included in the calculation formula, so that an open circuit voltage error may increase in a low temperature region.
- the estimation condition determination unit 24 adds to the estimation condition that the detected voltage of the temperature sensor 14 is equal to or higher than a predetermined temperature threshold. Therefore, the calculation accuracy of the capacity maintenance rate can be increased while suppressing the influence of the temperature sensor error in the low temperature region.
- the estimation condition determination unit 24 includes that the current integrated value is within a range from the lower limit value to the upper limit value and that the average current value is less than the average current threshold value. Thus, it may be added to the estimation condition that the current detected by the current sensor 12 is equal to or greater than a predetermined current threshold value for a predetermined time. As shown in FIG. 6, if the low current period continues for a long time in the current integration period, the error of the current sensor 12 accumulates in the current integration value, thereby lowering the calculation accuracy of the capacity maintenance rate. Therefore, the estimation condition determination unit 24 according to the modification adds the current value condition of the battery 11, so that the current integration period includes a low current period (current period after time t 1 shown in FIG. 6). The current integrated value in the current integration period is excluded from the calculation target. Thereby, the estimation precision of a capacity
- the capacity maintenance rate estimated according to the present embodiment corresponds to the capacity maintenance rate calculated by the capacity maintenance rate calculator 28 or the full charge capacity calculated by the full charge capacity calculator 29.
- the current sensor 12 and the voltage sensor 13 described above correspond to a detection unit according to the present invention.
- the capacity calculation unit 29 corresponds to a capacity maintenance rate estimation unit according to the present invention.
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Tests Of Electric Status Of Batteries (AREA)
Abstract
Description
《第1実施形態》
上述の通り、電流積算値が下限値より小さい場合には、OCVの変化量に対して、電流センサ12の誤差の影響が大きくなる。一方で、電流値が大きく、電流積算値が上限値より大きい場合には、電流センサの誤差による電流積算値に対する誤差の影響が大きくなる。このため、電流積算値の上限値及び下限値は、電流センサの誤差による影響を抑制できるような値を、予め実験等によって定めたものである。
10…セル
11…バッテリ
12…電流センサ
13…電圧センサ
14…温度センサ
20…バッテリコントローラ
21…ゼロ電流時点特定部
22…電流積算値演算部
23…平均電流演算部
24…推定条件判定部
25…ΔSOC-i演算部
26…OCV演算部
27…ΔSOC-v演算部
28…容量維持率演算部
29…満充電容量演算部
Claims (8)
- バッテリの容量維持率を推定する容量維持率推定装置であって、
前記バッテリの電流及び前記バッテリの電圧を検出する検出部と、
前記バッテリの電流の絶対値が0アンペア近傍になる第1時点から前記バッテリの電流の絶対値が0アンペア近傍になる第2時点までの期間を積算期間として特定し、前記検出部により検出された前記バッテリの検出電流に基づき、前記積算期間における前記バッテリの電流の積算値を演算する電流積算値演算部と、
前記検出部により検出された検出電圧に基づき前記第1時点における前記バッテリの第1開放電圧を演算し、前記検出部により検出された検出電圧に基づき前記第2時点における前記バッテリの第2開放電圧を演算する開放電圧演算部と、
前記第1開放電圧と前記第2開放電圧との電圧差と所定の条件を満たす前記積算値とに基づき前記バッテリの容量維持率を推定する容量維持率推定部とを備え、
前記所定の条件は、前記積算値が所定の下限値以上であり、かつ、前記積算期間における前記バッテリの電流の平均値が所定値以上である
容量維持率推定装置。 - 前記所定の条件は、前記積算値が前記所定の下限値以上から所定の上限値以下の範囲である
請求項1記載の容量維持率推定装置。 - 前記検出部は前記バッテリの温度を検出し、
前記所定の条件は、前記バッテリの温度が所定の温度閾値以上である
請求項1又は2記載の容量維持率推定装置。 - 前記所定の条件は、前記バッテリの検出電流の絶対値が、所定期間、所定の電流閾値以上である
請求項1~3のいずれか一項に記載の容量維持率推定装置。 - 前記開放電圧演算部は、
前記第1時点から所定の分極期間の経過後の前記バッテリの検出電圧に基づき前記第1開放電圧を演算し、前記第2時点から所定の分極期間の経過後の前記バッテリの検出電圧に基づき前記第2開放電圧を演算する
請求項1~4のいずれか一項に記載の容量維持率推定装置。 - 前記容量維持率推定部は、前記容量維持率の推定値に基づき、前記所定の下限値を設定する
請求項1~5のいずれか一項に記載の容量維持率推定装置。 - 前記容量維持率推定部は、前記バッテリの内部抵抗又は前記バッテリの使用期間に基づき、前記所定の下限値を設定する
請求項1~5のいずれか一項に記載の容量維持率推定装置。 - バッテリの容量維持率を推定する容量維持率推定方法であって、
センサを用いて、前記バッテリの電流及び前記バッテリの電圧を検出し、
前記バッテリの電流の絶対値が0アンペア近傍になる第1時点から前記バッテリの電流の絶対値が0アンペア近傍になる第2時点までの期間を積算期間として特定し、
前記センサにより検出された前記バッテリの検出電流に基づき、前記積算期間における前記バッテリの電流の積算値を演算し、
前記センサにより検出された検出電圧に基づき前記第1時点における前記バッテリの第1開放電圧を演算し、
前記センサにより検出された検出電圧に基づき前記第2時点における前記バッテリの第2開放電圧を演算し、
前記第1開放電圧と前記第2開放電圧との電圧差を演算し、
所定の条件を満たす前記積算値と前記電圧差とに基づき前記バッテリの容量維持率を推定し、
前記所定の条件は、前記積算値が所定の下限値以上であり、かつ、前記積算期間における前記バッテリの電流の平均値が所定値以上である
容量維持率推定方法。
Priority Applications (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
RU2018120724A RU2690724C1 (ru) | 2015-11-20 | 2015-11-20 | Устройство оценки коэффициента емкости или способ оценки коэффициента емкости |
US15/776,445 US10634724B2 (en) | 2015-11-20 | 2015-11-20 | Capacity maintenance rate estimation apparatus or capacity maintenance rate estimation method |
JP2017551494A JP6536687B2 (ja) | 2015-11-20 | 2015-11-20 | 容量維持率推定装置又は容量維持率推定方法 |
EP15908809.5A EP3379277B1 (en) | 2015-11-20 | 2015-11-20 | Capacity maintenance rate estimation apparatus or capacity maintenance rate estimation method |
CN201580084652.0A CN108369257B (zh) | 2015-11-20 | 2015-11-20 | 容量维持率推定装置或容量维持率推定方法 |
PCT/JP2015/082718 WO2017085869A1 (ja) | 2015-11-20 | 2015-11-20 | 容量維持率推定装置又は容量維持率推定方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/JP2015/082718 WO2017085869A1 (ja) | 2015-11-20 | 2015-11-20 | 容量維持率推定装置又は容量維持率推定方法 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2017085869A1 true WO2017085869A1 (ja) | 2017-05-26 |
Family
ID=58718564
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/JP2015/082718 WO2017085869A1 (ja) | 2015-11-20 | 2015-11-20 | 容量維持率推定装置又は容量維持率推定方法 |
Country Status (6)
Country | Link |
---|---|
US (1) | US10634724B2 (ja) |
EP (1) | EP3379277B1 (ja) |
JP (1) | JP6536687B2 (ja) |
CN (1) | CN108369257B (ja) |
RU (1) | RU2690724C1 (ja) |
WO (1) | WO2017085869A1 (ja) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2020085444A (ja) * | 2018-11-14 | 2020-06-04 | トヨタ自動車株式会社 | 満充電容量推定装置 |
CN111273186A (zh) * | 2018-11-16 | 2020-06-12 | 郑州宇通客车股份有限公司 | 一种电动汽车动力电池***健康状态估算方法及装置 |
JP2020106298A (ja) * | 2018-12-26 | 2020-07-09 | トヨタ自動車株式会社 | 満充電容量算出装置 |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR102634815B1 (ko) * | 2016-11-22 | 2024-02-07 | 삼성전자주식회사 | 오차 보정에 기초한 배터리 상태 추정 방법 및 장치 |
DE102018212545A1 (de) * | 2018-07-27 | 2020-01-30 | Audi Ag | Verfahren zum Überwachen eines Zustands einer Batterie, Überwachungseinrichtung und Kraftfahrzeug |
CN112539694B (zh) * | 2020-11-19 | 2021-12-14 | 珠海格力电器股份有限公司 | 一种汽车的车身高度检测装置、方法和汽车 |
CN116252682B (zh) * | 2023-05-16 | 2023-07-21 | 车百中汽科技(北京)有限公司 | 一种新能源汽车动力电池健康度的确定方法及*** |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2011215125A (ja) | 2010-03-15 | 2011-10-27 | Calsonic Kansei Corp | 電池容量算出装置および電池容量算出方法 |
JP2013217899A (ja) | 2012-03-13 | 2013-10-24 | Nissan Motor Co Ltd | バッテリの残存容量算出装置及びバッテリの残存容量算出方法 |
JP2013238403A (ja) * | 2012-05-11 | 2013-11-28 | Calsonic Kansei Corp | 組電池のセルの状態推定装置 |
JP2014153353A (ja) * | 2013-02-05 | 2014-08-25 | Samsung Sdi Co Ltd | バッテリ管理システムおよびその駆動方法 |
WO2015125537A1 (ja) * | 2014-02-24 | 2015-08-27 | 日立オートモティブシステムズ株式会社 | 二次電池システム |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3960241B2 (ja) * | 2003-03-11 | 2007-08-15 | トヨタ自動車株式会社 | 二次電池の残存容量推定装置、二次電池の残存容量推定方法、および二次電池の残存容量推定方法による処理をコンピュータに実行させるためのプログラムを記録したコンピュータ読取可能な記録媒体 |
JP2005019019A (ja) * | 2003-06-23 | 2005-01-20 | Yazaki Corp | バッテリの劣化判定方法およびその装置 |
KR100814884B1 (ko) * | 2006-10-16 | 2008-03-20 | 삼성에스디아이 주식회사 | 배터리 관리 시스템 및 그 구동방법 |
US8084996B2 (en) | 2008-06-27 | 2011-12-27 | GM Global Technology Operations LLC | Method for battery capacity estimation |
JP4649682B2 (ja) * | 2008-09-02 | 2011-03-16 | 株式会社豊田中央研究所 | 二次電池の状態推定装置 |
JP5842421B2 (ja) * | 2010-07-20 | 2016-01-13 | 日産自動車株式会社 | 電池状態推定装置 |
JP5393616B2 (ja) * | 2010-08-19 | 2014-01-22 | カルソニックカンセイ株式会社 | 二次電池の容量維持率算出装置および容量維持率算出方法 |
US20150346285A1 (en) | 2013-02-28 | 2015-12-03 | Hitachi Vehicle Energy, Ltd. | Device for Assessing Extent of Degradation of Secondary Battery |
-
2015
- 2015-11-20 RU RU2018120724A patent/RU2690724C1/ru active
- 2015-11-20 JP JP2017551494A patent/JP6536687B2/ja active Active
- 2015-11-20 CN CN201580084652.0A patent/CN108369257B/zh active Active
- 2015-11-20 EP EP15908809.5A patent/EP3379277B1/en active Active
- 2015-11-20 WO PCT/JP2015/082718 patent/WO2017085869A1/ja active Application Filing
- 2015-11-20 US US15/776,445 patent/US10634724B2/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2011215125A (ja) | 2010-03-15 | 2011-10-27 | Calsonic Kansei Corp | 電池容量算出装置および電池容量算出方法 |
JP2013217899A (ja) | 2012-03-13 | 2013-10-24 | Nissan Motor Co Ltd | バッテリの残存容量算出装置及びバッテリの残存容量算出方法 |
JP2013238403A (ja) * | 2012-05-11 | 2013-11-28 | Calsonic Kansei Corp | 組電池のセルの状態推定装置 |
JP2014153353A (ja) * | 2013-02-05 | 2014-08-25 | Samsung Sdi Co Ltd | バッテリ管理システムおよびその駆動方法 |
WO2015125537A1 (ja) * | 2014-02-24 | 2015-08-27 | 日立オートモティブシステムズ株式会社 | 二次電池システム |
Non-Patent Citations (1)
Title |
---|
See also references of EP3379277A4 |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2020085444A (ja) * | 2018-11-14 | 2020-06-04 | トヨタ自動車株式会社 | 満充電容量推定装置 |
JP7087936B2 (ja) | 2018-11-14 | 2022-06-21 | トヨタ自動車株式会社 | 満充電容量推定装置 |
CN111273186A (zh) * | 2018-11-16 | 2020-06-12 | 郑州宇通客车股份有限公司 | 一种电动汽车动力电池***健康状态估算方法及装置 |
CN111273186B (zh) * | 2018-11-16 | 2023-09-08 | 宇通客车股份有限公司 | 一种电动汽车动力电池***健康状态估算方法及装置 |
JP2020106298A (ja) * | 2018-12-26 | 2020-07-09 | トヨタ自動車株式会社 | 満充電容量算出装置 |
JP7087994B2 (ja) | 2018-12-26 | 2022-06-21 | トヨタ自動車株式会社 | 満充電容量算出装置 |
Also Published As
Publication number | Publication date |
---|---|
EP3379277A1 (en) | 2018-09-26 |
EP3379277B1 (en) | 2021-01-27 |
US10634724B2 (en) | 2020-04-28 |
CN108369257B (zh) | 2021-08-10 |
RU2690724C1 (ru) | 2019-06-05 |
JPWO2017085869A1 (ja) | 2018-10-04 |
US20180335479A1 (en) | 2018-11-22 |
CN108369257A (zh) | 2018-08-03 |
JP6536687B2 (ja) | 2019-07-03 |
EP3379277A4 (en) | 2018-12-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2017085869A1 (ja) | 容量維持率推定装置又は容量維持率推定方法 | |
US11022653B2 (en) | Deterioration degree estimation device and deterioration degree estimation method | |
JP6473154B2 (ja) | 電気バッテリーの劣化状態の推定 | |
JP5975876B2 (ja) | 駆動アキュムレータシステムの最大出力可能電力を求めるための方法および装置 | |
KR101414890B1 (ko) | 2차 배터리용 용량 추정 장치 | |
US10295605B2 (en) | State detecting method and state detecting device of secondary battery | |
US20140232411A1 (en) | System and method for battery monitoring | |
US8994334B2 (en) | Battery state-of-charge calculation device | |
CN110161424B (zh) | 动力电池的健康状态检测方法、及***及车辆 | |
KR101983392B1 (ko) | 배터리 충전 상태 추정 장치 및 그 방법 | |
EP2442126A2 (en) | Battery management system and method of estimating battery state of charge | |
US20170131364A1 (en) | Battery Degradation Degree Estimation Device and Battery Degradation Degree Estimation Method | |
US11112461B2 (en) | Method for estimating state of charge of energy storage device | |
WO2011102180A1 (ja) | 電池状態検知装置及び電池状態検知方法 | |
US20150192643A1 (en) | Method and device for determining the actual capacity of a battery | |
KR20130129096A (ko) | 개로 전압 추정 장치, 상태 추정 장치 및 개로 전압 추정 방법 | |
US20130158914A1 (en) | Apparatus for Measuring the State of Charge of a Battery Pack via Measuring an Open Circuit Voltage | |
JP5504657B2 (ja) | 二次電池の総容量推定装置 | |
JP3551767B2 (ja) | バッテリの放電量測定装置 | |
JP2010203935A (ja) | 二次電池の入出力可能電力推定装置 | |
JP2016024148A (ja) | 二次電池の状態推定方法 | |
JP4686139B2 (ja) | バッテリ充電状態演算方法 | |
JP2003051341A (ja) | 電池の残容量計 | |
US20220352736A1 (en) | Charging/discharging control device and charging/discharging control method | |
JP2023152320A (ja) | 電源装置および電池状態推定方法 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 15908809 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 2017551494 Country of ref document: JP Kind code of ref document: A |
|
WWE | Wipo information: entry into national phase |
Ref document number: 15776445 Country of ref document: US |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2015908809 Country of ref document: EP Ref document number: 2018120724 Country of ref document: RU |