Diagnostic device and diagnostic method for battery

Abstract

A diagnostic device for a battery includes a measurement unit configured to acquire a current value and a voltage value of the battery, and a diagnostic unit configured to calculate an internal resistance value of the battery based on the current value and the voltage value acquired by the measurement unit, and diagnose the battery based on the internal resistance value. The diagnostic unit is configured to cause the battery to perform discharge at a first current value and a second current value smaller than a predetermined target current value during a first period and a second period shorter than a predetermined target period, respectively, estimate the internal resistance value when the battery is caused to perform the discharge at the target current value during the target period, and diagnose the battery.

Claims

1. A diagnostic device for a battery, the diagnostic device comprising: a measurement unit configured to acquire a voltage value of the battery; and a diagnostic unit configured to: cause the battery to perform discharge at a first current value during a first period and estimate a first internal resistance value that is the internal resistance value when the discharge at the first current value is continued during the first period, based on the voltage value acquired by the measurement unit, cause the battery to perform discharge at a first current value during a second period longer than the first period and estimate a second internal resistance value that is the internal resistance value when the discharge at the first current value is continued during the second period, based on the voltage value acquired by the measurement unit, cause the battery to perform discharge at a second current value larger than the first current value during the first period and estimate a third internal resistance value that is the internal resistance value when the discharge at the second current value is continued during the first period, based on the voltage value acquired by the measurement unit, cause the battery to perform discharge at the second current value during the second period and estimate a fourth internal resistance value that is the internal resistance value when the discharge at the second current value is continued during the second period, based on the voltage value acquired by the measurement unit, and diagnose the battery based on the first internal resistance value, the second internal resistance value, the third internal resistance value, and the fourth internal resistance value.

2. The diagnostic device according to claim 1, wherein the diagnostic unit is configured to cause the battery to perform the discharge at the first current value and then perform the discharge at the second current value.

3. The diagnostic device according to claim 1, wherein the diagnostic unit is further configured to cause the battery to perform discharge at a current value of zero.

4. The diagnostic device according to claim 3, wherein the diagnostic unit performs the discharge at a current value of zero before performing the discharge at the first current value.

5. The diagnostic device according to claim 3, wherein the diagnostic unit is configured to cause the battery to perform the discharge at the first current value and then perform the discharge at the second current value.

6. The diagnostic device according to claim 3, wherein the measurement unit is further configured to acquire a current value of the battery.

7. The diagnostic device according to claim 3, wherein the first current value is smaller than a predetermined target current value during the first period, the first period shorter than a predetermined target period.

8. The diagnostic device according to claim 1, wherein the diagnostic unit is configured to cause the battery to perform discharge at the first current value during the first period before causing the battery to perform discharge at the first current value during the second period.

9. The diagnostic device according to claim 1, wherein the measurement unit is further configured to acquire a current value of the battery.

10. The diagnostic device according to claim 1, wherein the first current value is smaller than a predetermined target current value during the first period, the first period shorter than a predetermined target period.

11. A diagnostic method for a battery executed by a computer of a diagnostic device for the battery, the diagnostic method comprising: acquiring a voltage value of the battery; causing the battery to perform discharge at a first current value during a first period and estimate a first internal resistance value that is the internal resistance value when the discharge at the first current value is continued during the first period, based on the acquired voltage value, causing the battery to perform discharge at a first current value during a second period longer than the first period and estimate a second internal resistance value that is the internal resistance value when the discharge at the first current value is continued during the second period, based on the acquired voltage value, causing the battery to perform discharge at a second current value larger than the first current value during the first period and estimate a third internal resistance value that is the internal resistance value when the discharge at the second current value is continued during the first period, based on the acquired voltage value, causing the battery to perform discharge at the second current value during the second period and estimate a fourth internal resistance value that is the internal resistance value when the discharge at the second current value is continued during the second period, based on the acquired voltage value, and diagnosing the battery based on the first internal resistance value, the second internal resistance value, the third internal resistance value, and the fourth internal resistance value.

12. The diagnostic method according to claim 11, further comprising causing the battery to perform the discharge at the first current value and then perform the discharge at the second current value.

13. The diagnostic method according to claim 11, further comprising causing the battery to perform discharge at a current value of zero.

14. The diagnostic method according to claim 13, further comprising performing the discharge at a current value of zero before performing the discharge at the first current value.

15. The diagnostic method according to claim 13, further comprising causing the battery to perform the discharge at the first current value and then perform the discharge at the second current value.

16. The diagnostic method according to claim 13, further comprising acquiring a current value of the battery.

17. The diagnostic method according to claim 13, wherein the first current value is smaller than a predetermined target current value during the first period, the first period shorter than a predetermined target period.

18. The diagnostic method according to claim 11, further comprising causing the battery to perform discharge at the first current value during the first period before causing the battery to perform discharge at the first current value during the second period.

19. The diagnostic method according to claim 11, further comprising acquiring a current value of the battery.

20. The diagnostic method according to claim 11, wherein the first current value is smaller than a predetermined target current value during the first period, the first period shorter than a predetermined target period.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

(1) Features, advantages, and technical and industrial significance of exemplary embodiments of the disclosure will be described below with reference to the accompanying drawings, in which like numerals denote like elements, and wherein:

(2) FIG. 1 is a functional block diagram showing a power supply system mounted on a vehicle according to an embodiment of the disclosure;

(3) FIG. 2A is a flowchart showing diagnostic processing according to the embodiment of the disclosure;

(4) FIG. 2B is a flowchart showing diagnostic processing according to the embodiment of the disclosure;

(5) FIG. 3 is a graph showing an example of a current pattern used for diagnosis according to the embodiment of the disclosure;

(6) FIG. 4 is a graph showing examples of measurement samples and internal resistances at the time of diagnosis according to the embodiment of the disclosure;

(7) FIG. 5 is a graph showing an example of extrapolation processing of internal resistances according to the embodiment of the disclosure;

(8) FIG. 6 is a graph showing an example of a time characteristic of the internal resistance according to the embodiment of the disclosure;

(9) FIG. 7 is a graph showing an example of extrapolation processing of internal resistances according to the embodiment of the disclosure; and

(10) FIG. 8 is a graph showing an example of a current characteristic of the internal resistance according to the embodiment of the disclosure.

DETAILED DESCRIPTION OF EMBODIMENTS

Overview

(11) A diagnostic device for a battery according to an aspect of the disclosure estimates an internal resistance value of the battery when discharge is performed at a target current value during a target period, from a measurement value of an internal resistance when discharge of the battery is performed at a current value smaller than the target current value during a period shorter than the target period, and diagnoses the battery based on the estimated value.

Embodiment

(12) Hereinafter, an embodiment of the disclosure will be described in detail with reference to the drawings.

(13) Configuration

(14) FIG. 1 shows a functional block diagram of a power supply system 1 including a diagnostic device for a battery in the embodiment. The power supply system 1 is mounted on a vehicle, as an example. The power supply system 1 includes a battery (sub-battery) 100, a main power supply 200, a DC-DC converter 300, a load 400, and a power supply electronic control unit (ECU) 10. The main power supply 200 and the battery 100 are connected to the load 400 through the DC-DC converter 300. The power supply ECU 10 includes a power supply controller 11 that controls the DC-DC converter 300 to supply power from the main power supply 200 or the battery 100 to the load 400, and a diagnostic device 12 that diagnoses the battery 100. When the main power supply 200 is operating normally, the power supply controller 11 supplies power from the main power supply 200 to the load 400. However, when the power supply controller 11 detects that the main power supply 200 fails, the power supply controller 11 supplies power from the battery 100 to the load 400. The diagnostic device 12 includes a measurement unit 14 that measures a current and a voltage of the battery 100, and a diagnostic unit 13 that controls a discharge current of the battery 100 for using diagnosis, acquires a current value and a voltage value from the measurement unit 14 to calculate an internal resistance value of the battery 100, and diagnoses the battery 100 based on the calculated value. The diagnostic device 12 may be provided in the power supply ECU 10 to share some of the mounted parts with the power supply controller 11, or may be provided separately from the power supply ECU 10.

(15) Processing

(16) An example of diagnostic processing for a battery according to the embodiment will be described below. FIGS. 2A to 2B are flowcharts showing diagnostic processing executed by the diagnostic unit 13 of the diagnostic device 12. The processing is started and executed periodically, for example, during traveling of the vehicle. In the processing, it is assumed that a request of the battery 100 is met, that is, the battery 100 obtains a predetermined power value Wtarget at a voltage Vlow that is a lower limit voltage of voltages at which the load 400 can operate at the point in time when the current of the target current value (for example, 55 A) is output during the target period (for example, 15 s).

(17) Step S101

(18) The diagnostic unit 13 determines whether or not the battery 100 is stable. For example, the diagnostic unit 13 can acquire the current value of the battery 100 from the measurement unit 14, and when the current value is within a predetermined range during a certain period of time or longer, the diagnostic unit 13 can determine that the battery 100 is stable. When the diagnostic unit 13 determines that the battery 100 is stable, the processing proceeds to step S102, and when the diagnostic unit 13 determines that the battery 100 is not stable, the processing ends.

(19) Step S102

(20) The diagnostic unit 13 starts discharge control such that the discharge current of the battery 100 is changed with a predetermined change pattern. FIG. 3 shows an example of the change pattern of the discharge current of the battery 100. FIG. 3 also shows an example of a change pattern of the voltage of the battery 100 in accordance with a change in current. In an initial state, the current value is 0 A. In FIG. 3, the voltage level and the current level in the initial state are shown in a matched manner. In the change pattern, as an example, after the initial state of current 0 A, discharge is performed at a first current value (small current: 10 A) during a first period (5 s), and then discharge is performed at a second current value (large current: 20 A) larger than the first current value during a second period (5 s). Then, the discharge is stopped. The first current value and the second current value are smaller than the target current value, and the first period and the second period are shorter than the target period. Since the current value cannot be sharply changed, it is gradually changed. In the actual current value, fluctuation may occur even during the first period or the second period. The diagnostic unit 13 acquires the current value and the voltage value of the battery 100 measured by the measurement unit 14 while the discharge current of the battery 100 is changed with the change pattern, as in the following steps S103 to S106.

(21) Step S103

(22) The diagnostic unit 13 acquires a measurement sample that is a combination of the current value and the voltage value measured by the measurement unit 14 in a period T0 where the current value is 0 A (in the present specification, “0 A” includes “substantially 0 A” in its meaning). It is desirable to acquire a plurality of measurement samples, and the set of the measurement samples acquired in the step is denoted as S0. The period T0 is, for example, 0.5 s. The length of each subsequent period is also, for example, 0.5 s, and it is desirable to acquire a plurality of measurement samples within the period.

(23) Step S104

(24) The diagnostic unit 13 acquires a measurement sample set S1 that is a combination of the current value and the voltage value measured by the measurement unit 14, for example, in a period T1 of 0.5 s starting from the lapse of a short time (3 s) after the current value has reached 10 A (in the present specification, “10 A” includes “substantially 10 A” in its meaning).

(25) Step S105

(26) The diagnostic unit 13 acquires a measurement sample set S2 that is a combination of the current value and the voltage value measured by the measurement unit 14, for example, in a period T2 of 0.5 s starting from the lapse of a long time (5 s) after the current value has reached 10 A.

(27) Step S106

(28) The diagnostic unit 13 acquires a measurement sample set S3 that is a combination of the current value and the voltage value measured by the measurement unit 14, for example, in a period T3 of 0.5 s starting from the lapse of a short time (3 s) after the current value has reached 20 A (in the present specification, “20 A” includes “substantially 20 A” in its meaning).

(29) Step S107

(30) The diagnostic unit 13 acquires a measurement sample set S4 that is a combination of the current value and the voltage value measured by the measurement unit 14, for example, in a period T4 of 0.5 s starting from the lapse of a long time (5 s) after the current value has reached 20 A. FIG. 4 shows a graph in which the horizontal axis represents a current, the vertical axis represents a voltage, and each of measurement sample sets S0 to S4 is mapped. In FIG. 4, each set is indicated by one dot. However, actually, a plurality of measurement samples which belongs to each set is distributed with a constant spread.

(31) Step S108

(32) The diagnostic unit 13 calculates a correlation coefficient of the measurement sample included in a union S0∪S1 of the measurement samples, which are two variables of a current and a voltage. Similarly, a correlation coefficient is also calculated for each of S0∪S2, S0∪S3, and S0∪S4. The correlation coefficient can take a value in the range from −1 to 1, but in any of the four union of sets, since the influence of the voltage drop due to the internal resistance of the battery 100 is accurately reflected on the measurement sample, the less the influence of other factors is, the more the correlation coefficient value has a negative correlation coefficient closer to −1.

(33) Step S109

(34) When all the correlation coefficients calculated in step S108 are equal to or less than a predetermined negative value (for example, −0.85) and the influence of the internal resistance is reflected with accuracy equal to or higher than a certain value, the processing proceeds to step S110 by the diagnostic unit 13, and otherwise, the diagnostic unit 13 ends the processing.

(35) Step S110

(36) As shown in FIG. 4, the diagnostic unit 13 linearly approximates the measurement sample included in the measurement sample sets S0, S1, calculates the intercept as a voltage OCV at no current, and calculates the magnitude of the slope as an internal resistance R11 at a first current value (small current 10 A) and the lapse of a short time (3 s). The diagnostic unit 13 linearly approximates the measurement sample included in the measurement sample sets S0, S2, and calculates the magnitude of the slope as an internal resistance R12 at the first current value (small current 10 A) and the lapse of a long time (5 s). The diagnostic unit 13 linearly approximates the measurement sample included in the measurement sample sets S0, S3, and calculates the magnitude of the slope as an internal resistance R21 at a second current value (large current 20 A) and the lapse of a short time (3 s). The diagnostic unit 13 linearly approximates the measurement sample included in the measurement sample sets S0, S4, and calculates the magnitude of the slope as an internal resistance R22 at the second current value (large current 20 A) and the lapse of a long time (5 s).

(37) Step S111

(38) The diagnostic unit 13 linearly extrapolates the calculated internal resistances R11, R12 along the time and sets a value corresponding to the target period (15 s) as an internal resistance R1 (first internal resistance value) at the first current value (small current 10 A) and the lapse of the target period (15 s). The diagnostic unit 13 linearly extrapolates the calculated internal resistances R21, R22 along the time and sets a value corresponding to the target period (15 s) as an internal resistance R2 (second internal resistance value) at the second current value (large current 20 A) and the lapse of the target period (15 s). FIG. 5 shows a graph in which the horizontal axis represents a time, the vertical axis represents an internal resistance, and the internal resistances R11, R12, R21, R22, R1, R2 are mapped.

(39) Here, the general characteristics of the internal resistance of the battery will be described. FIG. 6 is a graph in which the horizontal axis represents a discharge time, the vertical axis represents an internal resistance, and an internal resistance value estimated by a predetermined linear approximation model and the actually measured internal resistance value when the battery 100 is discharged at 0° C. and 40 A are shown. As shown in FIG. 6, in general, when the discharge current is constant, the internal resistance of the battery can obtain a roughly good approximation by a linear approximation model with respect to time. However, as the discharge time becomes longer, the progressing speed of polarization of the battery slows down, so it tends to be slightly smaller than the estimated value of the linear approximation model in practice.

(40) Therefore, determination can be made that the internal resistances R1, R2 calculated by linear extrapolation along the time in the step are slightly larger than actual values, but they are roughly good estimated values, as the estimated values of the internal resistance when the discharge is performed at the constant currents of 10 A and 20 A during the target period of 15 s, respectively.

(41) Step S112

(42) The diagnostic unit 13 linearly extrapolates the calculated internal resistances R1, R2 along the current and sets a value corresponding to the target current value (55 A) as an internal resistance R (third internal resistance value) at the target current (55 A) and the lapse of the target period (15 s). FIG. 7 shows a graph in which the horizontal axis represents a current, the vertical axis represents an internal resistance, and the internal resistances R1, R2, R are mapped.

(43) Here, the general characteristics of the internal resistance of the battery will be described again. FIG. 8 is a graph in which the horizontal axis represents a discharge current, the vertical axis represents an internal resistance, and the actually measured internal resistance value when the battery 100 is discharged at −15° C., −10° C., and 20° C. and a current of 10 A, 20 A, 30 A, 40 A, and 55 A for a predetermined time is shown. As shown in FIG. 8, in general, when the temperature is constant, the internal resistance of the battery can obtain a good approximation by a linear approximation model with respect to a current.

(44) Therefore, in the step, it is reasonable to estimate the internal resistance value when the discharge is performed at the target current value (55 A) during the target period (15 s) by linear extrapolation along the current. Note that, since the internal resistances R1, R2 are estimated slightly larger than the actual values in step S111, the internal resistance R is also estimated to be slightly larger than the actual value.

(45) Step S113

(46) The diagnostic unit 13 calculates a power value W at the voltage Vlow that is the lower limit voltage at which the load 400 can operate at the point in time when the battery 100 outputs the current of the target current value during the target period, using the third internal resistance value R and OCV according to the following (Expression 1).
W=(OCV−Vlow)/R×Vlow  (Expression 1)

(47) When the value of W is equal to or greater than the predetermined power value Wtarget, the diagnostic unit 13 determines that the battery 100 can hold the requested power as a diagnosis result, and otherwise, the diagnostic unit 13 determines that the battery 100 cannot hold the requested power. The diagnostic unit 13 may diagnose the battery 100 by another method based on the internal resistance R. Generally, determination can be made that the battery deteriorates as the internal resistance R increases. Since the internal resistance R is estimated slightly larger than the actual value as described above, the diagnosis result will evaluate the degree of deterioration to be larger than the actual level, but it is desirable from the viewpoint of severely evaluating the power supply system 1 and ensuring the safety of the vehicle more strongly.

(48) The diagnostic unit 13 may notify other ECUs or the like mounted on the vehicle of the diagnosis result. Accordingly, the vehicle can execute predetermined processing such as notification to a user according to the diagnosis result.

(49) In this way, the processing is ended. In the change pattern of the discharge current shown in FIG. 3, discharge at the second current value (20 A) which is larger than the first current value is executed continuously after the discharge at the first current value (10 A). However, it is possible to reduce the influence on the calculated internal resistance value in the order of discharging the large current value after the discharge at the small current value as described above. In addition, when the discharge at the first current value and the discharge at the second current value are performed at a predetermined interval or more, either may be performed first. Each current value or the numerical value for specifying each period described above is an example, and the disclosure can be applied even when they are different numerical values.

EFFECT

(50) As described above, according to the aspect of the disclosure, it is possible to appropriately estimate the internal resistance value of the battery when discharge is performed at the target current value during the target period based on a change in the measurement value of the internal resistance when discharge is performed at two current values smaller than the target current value during periods shorter than the target period and to make a diagnosis such as whether or not the battery can supply a predetermined power. Therefore, even when the diagnosis target is a sub-battery that is difficult to discharge, it is possible to make the diagnosis while suppressing the discharge current and the discharge period.

(51) The disclosure is not limited to a diagnostic device for a battery and can also be applied to a diagnostic method for the battery that a computer provided in the diagnostic device executes the processing of each step described above, a diagnostic program for the battery in which the processing is described, or a power supply system and a vehicle.

(52) The disclosure is useful for diagnosing the battery in a vehicle or the like.