This disclosure relates to a chargeable battery abnormality detection apparatus and a chargeable battery abnormality detection method.
As technologies for detecting abnormalities of a chargeable battery, for example, there are technologies disclosed in Patent Document 1 and Patent Document 2.
Patent Document 1 discloses a technology related to a chargeable system. In the technology, a polarity inversion of a single battery in a series lithium secondary battery module is predicted and detected in advance and is identified with an alarm lamp, and a remaining battery is used to enable continued use as a module.
Patent Document 2 discloses a technology of detecting an internal short circuit of a battery. The internal short circuit is detected by discharging a complete battery such that constant current is caused to flow in two steps, i.e., a first discharge current Ia and a second discharge current Ib (Ib<Ia), and using a difference between the discharge currents to calculate a change in voltage at the time, i.e., a difference between a first discharge voltage and a second discharge voltage, as an internal resistance component.
Patent Document 1: JP H06-89743 A
Patent Document 2: JP 2002-313435 A
Incidentally, in the technology disclosed in Patent Document 1, a voltage of each single battery (cell) constituting the battery module needs to be measured. In general, however, a battery module is sealed, and thus there is a problem in that measuring a voltage of each single battery is difficult, hindering detection of a polarity inversion.
Further, in the technology disclosed in Patent Document 2, controlling a load current is difficult in a case where a battery module is mounted on a vehicle, causing a limit on timings of detecting internal short circuits. Thus, there is a problem in that a delay may be caused from occurrence to detection of a short circuit.
The present disclosure is made in view of the circumstances as described above, and an object thereof is to provide a chargeable battery abnormality detection apparatus and a chargeable battery abnormality detection method capable of performing an abnormality of a chargeable battery at any timing.
To solve the problems described above, in one aspect, the present disclosure provides a chargeable battery abnormality detection apparatus configured to detect an abnormality of a chargeable battery, the chargeable battery abnormality detection apparatus including: a processor; and a memory storing instructions executable by the processor, wherein the processor performs the following when executing instructions: calculating a value of an internal resistance of the chargeable battery; determining whether the chargeable battery is being charged or being discharged; determining that an abnormality has occurred in the chargeable battery if either one of the following occurs: the calculated value of the internal resistance decreases while the chargeable battery is being discharged; and the calculated value of the internal resistance increases while the chargeable battery is being charged; and outputting a determination result of the abnormality.
According to such a configuration, an abnormality of the chargeable battery can be determined reliably at any timing.
Further, in the above-described chargeable battery abnormality detection apparatus, the processor may determine that the chargeable battery has been short-circuited when the calculated value of the internal resistance increases while the chargeable battery is being charged.
According to such a configuration, a short circuit can be easily detected at any timing.
Further, in the above-described chargeable battery abnormality detection apparatus, the processor may also determine that that the abnormality has occurred in the chargeable battery when the calculated value of the internal resistance increases greater than a value in a normal state of the chargeable battery while the chargeable battery is being discharged.
According to such a configuration, an abnormality can be reliably detected at any timing through comparison with the normal value.
Further, in the above-described chargeable battery abnormality detection apparatus, the processor may determine that a polarity inversion has occurred in the chargeable battery when the calculated value of the internal resistance increases greater than a value in a normal state of the chargeable battery, and subsequently the calculated value of the internal resistance starts decreasing while the chargeable battery is being discharged, and the processor may determine that a short circuit has occurred when the calculated value of the internal resistance increases greater than a value in a normal state of the chargeable battery, and subsequently the calculated value of the internal resistance does not start decreasing while the chargeable battery is being discharged.
According to such a configuration, a polarity inversion and a short circuit can be easily and reliably detected at any timing.
Further, in the above-described chargeable battery abnormality detection apparatus, the processor may determine that the calculated value of the internal resistance increases greater than the value in the normal state of the chargeable battery if a ratio or a difference between the value of the internal resistance at a present time and the internal resistance at a past predetermined time when the chargeable battery was in the normal state exceeds a predetermined threshold value.
According to such a configuration, an abnormality can be easily and reliably detected through comparison between values of the internal resistance.
Further, in the above-described chargeable battery abnormality detection apparatus, the processor may determine that the calculated value of the internal resistance increases greater than the value in the normal state of the chargeable battery if a value ΔR/ΔSOC obtained by dividing ΔR by ΔSOC is less than a prescribed negative, where ΔR represents an amount of increase in the calculated internal resistance R per a predetermined time period, and ΔSOC is a negative value representing an amount of change in a state of charge SOC per a predetermined time period.
According to such a configuration, an abnormality can be easily detected on the basis of a relationship between the internal resistance and the state of charge.
Further, in the above-described chargeable battery abnormality detection apparatus, the processor calculates the value of the internal resistance by dividing a fluctuating value of a voltage in a predetermined time period by a fluctuating value of a current in the predetermined time period.
According to such a configuration, the internal resistance can be easily calculated.
Further, in the above-described chargeable battery abnormality detection apparatus, the chargeable battery abnormality detection apparatus may further include a voltage detector that detects a voltage of the chargeable battery, and the processor may further determine that the abnormality has occurred in the chargeable battery when the voltage detector detects a voltage drop corresponding to a voltage of one cell among a plurality of cells constituting the chargeable battery.
According to such a configuration, presence or absence of an abnormality can be more accurately detected by also referring to a detected voltage of the battery.
Further, in the above-described chargeable battery abnormality detection apparatus, after determining that the abnormality has occurred, the processor may determine that the abnormality has been resolved if a value obtained by dividing a value of the internal resistance at a certain time point at or after a point in time when the processor determined that the abnormality has occurred in the chargeable battery by a maximum value of the internal resistance at or after the point in time when the processor determined that the abnormality has occurred falls below a predetermined threshold value.
According to such a configuration, not only occurrence of an abnormality but also a resolution thereof can be detected.
Further, in the above-described chargeable battery abnormality detection apparatus, after determining that the polarity inversion has occurred, the processor may determine that the abnormality of the polarity inversion has been resolved if the calculated value of the internal resistance increases again after the processor has determined that the polarity inversion has occurred and then decreases.
According to such a configuration, not only occurrence of a polarity inversion but also a resolution of the polarity inversion can be decided.
Further, in the above-described chargeable battery abnormality detection apparatus, after determining that the abnormality has occurred, the processor may determine that the abnormality has been resolved if a voltage of the chargeable battery increases to reach or exceed a predetermined threshold value after the processor has determined that the abnormality has occurred in the chargeable battery.
According to such a configuration, not only occurrence of an abnormality but also a resolution thereof can be detected.
In another aspect, the present disclosure provides a chargeable battery abnormality detection method of detecting an abnormality of a chargeable battery, the chargeable battery abnormality detection method including: calculating a value of an internal resistance of the chargeable battery; determining whether the chargeable battery is being charged or being discharged; determining that an abnormality has occurred in the chargeable battery if either one of the following occurs: the calculated value of the internal resistance decreases while the chargeable battery is being discharged; and the calculated value of the internal resistance increases while the chargeable battery is being charged; and outputting a determination result of the abnormality.
According to such a method, an abnormality of the chargeable battery can be detected reliably at any timing.
According to the present disclosure, a chargeable battery abnormality detection apparatus and a chargeable battery abnormality detection method capable of detecting an abnormality of a chargeable battery at any timing can be provided.
Next, embodiments of the present invention will be described.
Here, the control unit 10 detects a state of the chargeable battery 14 by referring to outputs from the voltage sensor 11, the current sensor 12, and the temperature sensor 13, and controls a charge state of the chargeable battery 14 by controlling a generated voltage of an alternator 15. Note that the voltage sensor 11, the current sensor 12, and the temperature sensor 13 may be incorporated into the control unit 10, or may be provided outside the control unit 10. The voltage sensor 11 detects a terminal voltage of the chargeable battery 14, and reports the detected results to the control unit 10. The current sensor 12 detects a current flowing in the chargeable battery 14, and reports the detected results to the control unit 10. The temperature sensor 13 detects a temperature of an electrolytic solution of the chargeable battery 14 or an ambient temperature, and reports the detected results to the control unit 10. Note that, instead of the control unit 10 controlling the charge state of the chargeable battery 14 by controlling the generated voltage of the alternator 15, for example, an Electric Control Unit (ECU) (not illustrated) may control the charge state.
The chargeable battery 14 is a chargeable battery including an electrolytic solution, such as a lead-acid battery, a nickel-cadmium battery, or a nickel-metal hydride battery. The chargeable battery 14 is charged by the alternator 15, drives a starter motor 17 to start an engine, and supplies electric power to a load 18. Note that the chargeable battery 14 includes a plurality of cells connected in series. The alternator 15 is driven by an engine 16, generates AC power and converts the generated AC power into DC power through a rectifier circuit, and charges the chargeable battery 14. The alternator 15 is controlled by the control unit 10 so that the generated voltage can be adjusted.
For example, the engine 16 is configured by a reciprocating engine such as a petrol engine or a diesel engine, a rotary engine, or the like. The engine 16 is started by the starter motor 17 and drives drive wheels via a transmission to supply propulsive power to the vehicle and also drives the alternator 15 to generate electric power. For example, the starter motor 17 is configured by a DC motor and generates a rotational force by using electric power supplied from the chargeable battery 14 to start the engine 16. For example, the load 18 is configured by an electric power steering motor, a defogger, a seat heater, an ignition coil, a car audio system, a car navigation system, or the like. The load 18 operates by electric power supplied from the chargeable battery 14.
Next, operation according to embodiments of the disclosure will be described. Note that an operation mechanism according to the embodiments of the disclosure will be first described below, and then detailed operation will be described.
First, the operation mechanism according to the embodiments of the disclosure will be described. In the embodiments of the disclosure, a “polarity inversion” and a “short circuit”, each of which is an abnormality of the chargeable battery 14, are detected on the basis of a change in an internal resistance of the chargeable battery 14.
In
Specifically, the polarity inversion refers to a phenomenon in which the polarity of a voltage output by at least one cell out of a plurality of cells constituting the chargeable battery 14 is inversed. More specifically, regarding a battery pack including a plurality of cells, as illustrated in
When a polarity inversion occurs at elapsed time T (s) shown in
Specifically, in a case where a polarity inversion occurs in the chargeable battery, the increasing internal resistance starts decreasing, and the voltage decreases by an amount of a corresponding cell (one cell in
In the present embodiment, occurrence of a polarity inversion of the chargeable battery 14 is detected on the basis of characteristic changes in a voltage and an internal resistance as described above.
In contrast,
In the example of
In the example of
In the present embodiment, an abnormality of the chargeable battery 14 is detected on the basis of the behavior of the chargeable battery 14 as described above.
More specifically, the chargeable battery abnormality detection apparatus 1 measures a state of charge and an internal resistance of the chargeable battery 14 in a normal state, and sets those measured results as a reference state of charge SOC0 and reference internal resistance R0, respectively. Note that, for example, the normal state refers to a state at a time point when the chargeable battery 14 is mounted on a vehicle or a time point after the elapse of a certain time period (for example, several hours or several days) from such mounting. As a matter of course, in a case where an abnormality such as a short circuit or a polarity inversion does not occur at time points, the time points other than those described above may be adopted.
Next, the chargeable battery abnormality detection apparatus 1 calculates an internal resistance at the present time point.
Next, the chargeable battery abnormality detection apparatus 1 calculates a state of charge SOC at the present time point. More specifically, the chargeable battery abnormality detection apparatus 1 measures a voltage of the chargeable battery 14 in a stable state in which polarization, stratification, or the like of the chargeable battery 14 is resolved after the elapse of a predetermined time period (for example, several hours) from the stop of the engine 16, and sets the measured voltage as an open circuit voltage OCV. The open circuit voltage OCV and the state of charge SOC have a certain relationship. Thus, for example, the state of charge SOC in a stable state can be calculated by referring to information stored in a table that shows the relationship between the open circuit voltage OCV and the state of charge SOC. After the engine 16 is started, the state of charge SOC at the present time point can be calculated by cumulatively adding a current input and output to and from the chargeable battery 14, and adding the obtained value to SOC in a stable state calculated as described above.
Next, the chargeable battery abnormality detection apparatus 1 compares the state of charge SOC at the present time point and the reference state of charge SOC0, and can thereby determine whether the chargeable battery 14 is being charged or being discharged.
In a case where the chargeable battery abnormality detection apparatus 1 determines that the chargeable battery 14 is being charged, the chargeable battery abnormality detection apparatus 1 determines whether or not the internal resistance R is increasing. More specifically, the chargeable battery abnormality detection apparatus 1 calculates a ratio (R/R0) between the value of the internal resistance R at the present time point and the reference internal resistance R0. In a case where the ratio is greater than a predetermined threshold value Th1 (Th1>1) (in a case where R/R0>Th1), the chargeable battery abnormality detection apparatus 1 determines that the internal resistance is increasing. Incidentally, in general, the internal resistance decreases during charge. Thus, in a case where the internal resistance increases during charge, it can be determined that there is an abnormality. Further, in such a case, as shown in
In contrast, in a case where the chargeable battery abnormality detection apparatus 1 determines that the chargeable battery 14 is being discharged, the chargeable battery abnormality detection apparatus 1 determines whether or not the internal resistance R is increasing. More specifically, the chargeable battery abnormality detection apparatus 1 calculates a ratio (R/R0) between the value of the internal resistance R at the present time point and the reference internal resistance R0. In a case where the ratio is greater than a predetermined threshold value Th2 (Th2>1) (in a case where R/R0>Th2), the chargeable battery abnormality detection apparatus 1 determines that the internal resistance is increasing. Incidentally, in general, the internal resistance increases during discharge. Thus, in a case where the internal resistance increases during discharge, it cannot be immediately determined that there is an abnormality. Accordingly, as the threshold value Th2, a predetermined value that is greater than the increase in the internal resistance in a regular state is set, and it is determined that there may be an occurrence of an abnormality in a case where R/R0>Th2. Then, the value of the internal resistance R is calculated for a predetermined time period. In a case where the internal resistance increases and then starts decreasing, it can be determined that there is a polarity inversion shown in
Note that, in a case where occurrence of an abnormality is detected, the chargeable battery abnormality detection apparatus 1 can report the occurrence of the abnormality to the higher-level device (for example, an ECU), and can report either a polarity inversion or a short circuit as the details of the abnormality.
As described above, according to the embodiment of the disclosure, a situation in which behavior of the internal resistance of the chargeable battery 14 is different from regular behavior (for example, behavior that internal resistance gently decreases during charge, and gently increases during discharge) is detected, and this allows a polarity inversion and a short circuit of the chargeable battery 14 to be detected.
Further, in the present embodiment, an internal resistance of the whole chargeable battery 14 including a plurality of cells is calculated, and an abnormality is determined on the basis of the internal resistance. This eliminates measurement of individual cells, which is the case with Patent Document 1, for example. Thus, various types of abnormalities of the chargeable battery 14 can be easily detected. Further, in the present embodiment, abnormalities can be detected while the chargeable battery 14 is charged or discharged. Thus, timing of abnormality detection is not limited to specific timing, which is the case with Patent Document 2, for example. Instead, abnormalities can be detected at any timing.
Next, with reference to
In Step S10, the CPU 10a of the control unit 10 calculates a reference state of charge SOC0. More specifically, the CPU 10a measures a voltage of the chargeable battery 14 in a stable state in which polarization, stratification, or the like of the chargeable battery 14 is resolved with the use of the voltage sensor 11, and sets the measured voltage as an open circuit voltage OCV. Then, the CPU 10a can calculate a state of charge SOC in a stable state by using information (or a mathematical expression showing a relationship between the open circuit voltage OCV and the state of charge SOC) stored in a table (for example, a table stored in the data 10ca of the RAM 10c) storing information showing a relationship between the open circuit voltage OCV and the state of charge SOC. The CPU 10a can calculate a state of charge SOC at the present time point by measuring a current input and output to and from the chargeable battery 14 with the use of the current sensor 12 and cumulatively adding the measured results, and adding the value calculated as described above to SOC. According to the above method, the state of charge SOC can be calculated at predetermined timing (for example, timing when the engine 16 is started), and the calculated result can be set as the reference state of charge SOC0. Note that the open circuit voltage OCV fluctuates depending on a temperature of an electrolytic solution of the chargeable battery 14. For this reason, the open circuit voltage OCV may be corrected on the basis of an estimated temperature, which is obtained by measuring an ambient temperature of the chargeable battery 14 with the use of the temperature sensor 13, and then estimating the temperature of the electrolytic solution on the basis of the measured ambient temperature.
In Step S11, the CPU 10a calculates a reference internal resistance R0. More specifically, as has been described with reference to
In Step S12, the CPU 10a stores the reference state of charge SOC0 calculated in Step S10 and the reference internal resistance R0 calculated in Step S11 in the RAM 10c, for example.
In Step S13, the CPU 10a performs processing of calculating the internal resistance R at the present time point. Note that the details of the processing of Step S13 will be described later with reference to
In Step S14, the CPU 10a calculates a state of charge SOC at the present time point. More specifically, the state of charge SOC at the present time point can be calculated by calculating a state of charge SOC in a stable state on the basis of OCV in a stable state, measuring a current input and output to and from the chargeable battery 14 with the use of the current sensor 12 and cumulatively adding the measured results, and adding the obtained value to SOC in a stable state described above.
In Step S15, the CPU 10a compares the state of charge SOC at the present time point calculated in Step S14 and the reference state of charge SOC0 calculated in Step S10, and determines whether SOC<SOC0 is satisfied. In a case where SOC<SOC0 is satisfied (Y in Step S15), the process proceeds to Step S17. Otherwise (N in Step S15), the process proceeds to Step S16. More specifically, in a case where SOC<SOC0 is satisfied, it can be determined that the battery is being discharged. In such a case, the process proceeds to abnormality monitor processing during discharge of Step S17. In a case where SOC>SOC0 is satisfied, it can be determined that the battery is being charged (or the battery is in a state in which its SOC does not vary). In such a case, the process proceeds to abnormality monitor processing during charge of Step S16. Note that the details of the abnormality monitor processing during charge of Step S16 and the abnormality monitor processing during discharge of Step S17 will be described later with reference to
In Step S18, the CPU 10a determines whether or not to continue the process. In a case where the CPU 10a determines to continue the process (Y in Step S18), the process returns to Step S13, and a process similar to that described above is repeated. Otherwise (N in Step S18), the process ends.
Next, with reference to
In Step S30, the CPU 10a refers to output of the voltage sensor 11, and measures the amount of change in voltage ΔV in a predetermined time period (for example, in 10 ms).
In Step S31, the CPU 10a cumulatively adds the amount of change in voltage ΔV measured in Step S30, and sets the obtained result as ΔVa. Specifically, the CPU 10a calculates ΔVa←ΔVa+ΔV.
In Step S32, the CPU 10a refers to output of the current sensor 12, and measures the amount of change in current ΔI in a predetermined time period (for example, in 10 ms).
In Step S33, the CPU 10a cumulatively adds the amount of change in current ΔI measured in Step S32, and sets the obtained result as Ma. Specifically, the CPU 10a calculates ΔIa←ΔIa+ΔI.
In Step S34, the CPU 10a determines whether a predetermined time period has elapsed. In a case where the CPU 10a determines that the predetermined time period (for example, 10 seconds) has elapsed (Y in Step S34), the process proceeds to Step S35. Otherwise (N in Step S34), the process returns to Step S30, and a process similar to that described above is repeated.
In Step S35, the CPU 10a calculates a value of the internal resistance R according to R=ΔVa/ΔIa. Then, the process returns to the original processing.
According to the processing described above, the internal resistance R at the present time point can be calculated.
Next, with reference to
In Step S50, the CPU 10a determines whether R/R0>Th1 is satisfied, on the basis of the internal resistance R calculated in Step S13 and the reference internal resistance R0 calculated in Step S11. In a case where the CPU 10a determines that R/R0>Th1 is satisfied (Y in Step S50), the process proceeds to Step S51. Otherwise (N in Step S50), the process returns to the original processing.
In Step S51, on the basis of
In Step S52, the CPU 10a reports the possibility of a short circuit to the higher-level device (for example, an ECU) (not illustrated) via the communication unit 10d.
According to the processing described above, when the internal resistance increases while the chargeable battery 14 is charged, it can be determined that there is a possibility of a short circuit, and the possibility can be reported to the higher-level device.
Next, with reference to
In Step S70, the CPU 10a determines whether R/R0>Th2 is satisfied, on the basis of the internal resistance R calculated in Step S13 and the reference internal resistance R0 calculated in Step S11. In a case where the CPU 10a determines that R/R0>Th2 is satisfied (Y in Step S70), the process proceeds to Step S71. Otherwise (N in Step S70), the process returns to the original processing. Note that, in comparison with the threshold value Th1 in Step S50, the threshold value Th2 in Step S70 can be set to satisfy Th2>Th1. Specifically, in general, the internal resistance decreases while the chargeable battery 14 is charged. Thus, it can be decided that there is an abnormality in a case where the internal resistance increases even for a slight amount. In contrast, in general, the internal resistance increases during discharge. Thus, the threshold value Th2 needs to be set to a value greater than such an increase. Note that the threshold value Th2 may be set to change depending on the magnitude of a discharge current. Specifically, a large value can be adopted as the threshold value Th2 in a case where the discharge current is large, and a small value can be adopted as the threshold value Th2 in a case where the discharge current is small.
In Step S71, the CPU 10a performs processing of calculating the internal resistance R at the present time point. Note that the processing is similar to the processing described above with reference to
In Step S72, the CPU 10a stores the internal resistance R calculated in Step S71 in the RAM 10c in time series, for example.
In Step S73, the CPU 10a determines whether a predetermined time period (for example, one hour) has elapsed. In a case where the CPU 10a determines that the predetermined time period has elapsed (Y in Step S73), the process proceeds to Step S74. Otherwise (N in Step S73), the process returns to Step S71, and a process similar to that described above is repeated. Note that a change in the internal resistance may be observed over time, and in a case where the internal resistance decreases after an increase, the process may proceed to Step S74 even before the predetermined time period elapses.
In Step S74, the CPU 10a refers to the plurality of values of the internal resistance R stored in the RAM 10c in time series in Step S72, and determines whether the internal resistance R decreases after increase. In a case where the CPU 10a determines that the internal resistance R decreases after increase (Y in Step S74), the process proceeds to Step S75. Otherwise (N in Step S74), the process proceeds to Step S76.
In Step S75, on the basis of
In Step S76, on the basis of
In Step S77, the CPU 10a reports the possibility of a polarity inversion or a short circuit to the higher-level device via the communication unit 10d. Then, the process returns to the original processing.
According to the processing described above, a possibility of a short circuit or a polarity inversion can be decided on the basis of behavior of an internal resistance while the chargeable battery 14 is discharged.
It goes without saying that the above embodiment is merely an example, and the disclosure is not limited only to the case as described above. For example, in the above embodiment, the internal resistance R is calculated through the processing illustrated in
Further, an abnormality during discharge of the chargeable battery 14 is decided on the basis of R/R0>Th2, as illustrated in Step S70. However, in general, the internal resistance increases during discharge. Thus, wrong determination may be made in a case where the value of the discharge current is great. In view of this, the threshold value Th2 may be increased or decreased according to the discharge current. For example, a table storing the discharge current and the threshold value Th2 in association with each other may be prepared, and the threshold value Th2 according to the discharge current may be acquired from the table. Alternatively, ΔR/ΔSOC may be calculated, where ΔSOC represents a change in the state of charge SOC and ΔR represents a change in the internal resistance R, and the calculated value and a predetermined threshold value Th3 (a threshold value different from the threshold value Th2) may be compared. Specifically, in a case where ΔR/ΔSOC is less than the predetermined threshold value Th3 (<0), it may be determined that there is an abnormality. According to such a method, influence caused due to different magnitudes of the charge current can be reduced.
Further, in Step S50 and Step S70, presence or absence of an abnormality is determined on the basis of a magnitude relationship between R/R0 and the threshold value Th1 or Th2. However, presence or absence of an abnormality may be determined on the basis of a magnitude relationship between the value of a difference between R and R0 and the threshold value.
Further, in the above embodiment, in a case where an abnormality is detected, such detection is reported to an ECU (external processor) serving as the higher-level device. However, for example, in a case where a short circuit is detected, such detection is reported to the ECU, and at the same time, the charge may be stopped in order to prevent a large current from flowing from the alternator 15. Further, after a short circuit is detected, it is likely that the engine 16 cannot be restarted. Thus, the ECU may stop execution of idle reduction, or may prompt a driver to visit a maintenance facility, a dealer, a gas station, or the like before the engine 16 stops. Further, in a case where a polarity inversion is detected, the alternator 15 may be controlled to promptly charge the chargeable battery 14 in order to resolve the polarity inversion.
Further, in the above embodiment, the temperature of the electrolytic solution of the chargeable battery 14 is not taken into consideration. However, the temperature of the electrolytic solution may be estimated using the temperature sensor 13, and on the basis of the estimated temperature, the value may be normalized into a value in a standard state. For example, in a case where the temperature of the electrolytic solution estimated using the temperature sensor 13 is 30° C., this estimated value may be normalized into a value at 25° C., which is a standard state, by using a conversion table or the like, for example.
Further, in the above embodiment, presence or absence of an abnormality is decided on the basis of a change in the internal resistance of the chargeable battery 14. However, presence or absence of an abnormality may be decided by also referring to a voltage of the chargeable battery 14 as well as the internal resistance. For example, in a case where the internal resistance changes and a predetermined voltage drop (for example, a voltage drop of approximately 2 V, which is a voltage corresponding to one cell constituting the chargeable battery 14) occurs, it may be determined that there is an abnormality. One example of a method of setting a voltage threshold value indicating occurrence of a voltage drop corresponding to a single cell is a method of calculating a voltage threshold value by using the open circuit voltage. Let n be the number of cells connected in series. The voltage of a battery subject to a voltage drop corresponding to a single cell can be calculated by: Open circuit voltage×(n−1/n). A value obtained by adding the above value to an appropriate margin can be set as the threshold value.
Further, let Ra be a value of the internal resistance at a certain time point at or after a certain time point when it is decided that there is occurrence of an abnormality in the chargeable battery 14, and Rmax be a maximum value of the internal resistance at or after the time point when it is determined that there is occurrence of the abnormality. In a case where a value obtained by dividing Ra by Rmax falls below a predetermined threshold value Th4 (in a case where Ra/Rmax<Th4), it may be determined that the abnormality has been resolved. Specifically, in a case where a short circuit is resolved due to vibration or the like, the internal resistance Ra after the resolution decreases less than the value of the internal resistance Rmax at or after the time point when it is determined that the short circuit occurs. Thus, by determining whether Ra/Rmax<Th4 is satisfied, whether the short circuit has been resolved can be determined. Further, in a case where a polarity inversion is resolved, the value of the internal resistance increases and then decreases in a process of resolution of the polarity inversion, as in the case of occurrence of a polarity inversion. Thus, by determining whether Ra/Rmax<Th4 described above is satisfied, whether the polarity inversion has been resolved can be determined, where Rmax represents a peak resistance value when the internal resistance increases, and Ra represents a value of the internal resistance after the increase. Further, it may be decided that an abnormality has been resolved in a case where the voltage of the chargeable battery 14 increases to reach or exceed a predetermined threshold value (for example, Open circuit voltage×(n−1/n)) after it is decided that the abnormality occurs in the chargeable battery 14.
Further, the flowcharts illustrated in
Number | Date | Country | Kind |
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JP2017-250448 | Dec 2017 | JP | national |
Number | Name | Date | Kind |
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5903136 | Takahashi | May 1999 | A |
20110254559 | Nakashima | Oct 2011 | A1 |
20120319653 | Kumar | Dec 2012 | A1 |
20130175800 | Bluhm | Jul 2013 | A1 |
Number | Date | Country |
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1 293 377 | Mar 2003 | EP |
H06-89743 | Mar 1994 | JP |
9-134741 | May 1997 | JP |
2002-313435 | Oct 2002 | JP |
2013-96752 | May 2013 | JP |
2016-125932 | Jul 2016 | JP |
Entry |
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English translation of Written Opinion (PCT/ISA/237) issued in PCT/JP2018/047801 dated Mar. 2019. |
European Search Report dated Dec. 11, 2020, in a counterpart European patent application No. 18896407.6. |
International Search Report (ISR) issued in PCT/JP2018/047801 dated Mar. 2019. |
Written Opinion (PCT/ISA/237) issued in PCT/JP2018/047801 dated Mar. 2019. (Concise Explanation of Relevance: This Written Opinion considers that the claims are described by or obvious over the references cited.). |
Number | Date | Country | |
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20200326378 A1 | Oct 2020 | US |
Number | Date | Country | |
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Parent | PCT/JP2018/047801 | Dec 2018 | US |
Child | 16914155 | US |