The present disclosure relates to a capacity estimation device and a capacity estimation method.
Disclosure regarding estimating the capacity of a secondary battery forming a battery pack has been conventionally known. For example, a unique point at which the voltage change rate of a secondary battery has a local maximum is detected, and the capacity corresponding to the unique point detected is estimated as the capacity of the secondary battery.
In the present disclosure, provided is a capacity estimation device as the following.
The capacity estimation device estimates a capacity of a power storage unit at a time of charging the power storage unit, the capacity estimation device including:
a control unit that reduces an average current in a predetermined current restriction section after a start of charging the power storage unit, the average current indicating an average value per unit time of a charging current flowing in the power storage unit; and
an estimation unit that estimates the capacity based on a voltage change rate of the power storage unit after or within the current restriction section.
The present disclosure also provides a capacity estimation device as the following.
The capacity estimation method estimates a capacity of a power storage unit at a time of charging the power storage unit, the capacity estimation method including:
reducing an average current in a predetermined current restriction section after a start of charging the power storage unit, the average current indicating an average value per unit time of a charging current flowing in the power storage unit; and
estimating the capacity based on a voltage change rate of the power storage unit after or within the current restriction section.
The object described above and another object, a feature, and an advantage of the present disclosure are further clarified by the following detailed description with reference to accompanying drawings. In the accompanying drawings:
A secondary battery sometimes has a higher-capacity portion and a lower-capacity portion generated therein when charged. The secondary battery in which such unevenness in capacity (unevenness of charge) has occurred allows the capacity when the voltage change rate has a local maximum to be deviated from a specific capacity, and the accuracy of estimating the capacity may possibly be lowered.
The present disclosure has been made in view of the problem described above, and an object of the present disclosure is to provide a capacity estimation device and a capacity estimation method that can accurately estimate the capacity of a power storage unit.
The present disclosure is a capacity estimation device that estimates a capacity of a power storage unit at a time of charging the power storage unit, the capacity estimation device including:
a control unit that reduces an average current in a predetermined current restriction section after a start of charging the power storage unit, the average current indicating an average value per unit time of a charging current flowing in the power storage unit; and
an estimation unit that estimates the capacity based on a voltage change rate of the power storage unit after or within the current restriction section.
By reducing the average current in the current restriction section in which the unevenness of charge is likely to occur, the occurrence of the unevenness of charge is suppressed. Thereby, the capacity when the voltage change rate has a local maximum is prevented from being deviated from a specific capacity, and the capacity of the power storage unit can be accurately estimated.
The present disclosure is a capacity estimation method that estimates a capacity of a power storage unit at a time of charging the power storage unit, the capacity estimation method including:
reducing an average current in a predetermined current restriction section after a start of charging the power storage unit, the average current indicating an average value per unit time of a charging current flowing in the power storage unit; and
estimating the capacity based on a voltage change rate of the power storage unit after or within the current restriction section.
By reducing the average current in the current restriction section in which the unevenness of charge is likely to occur, the occurrence of the unevenness of charge is suppressed. Thereby, the capacity when the voltage change rate has a local maximum is prevented from being deviated from a specific capacity, and the capacity of the power storage unit can be accurately estimated.
Hereinafter, embodiments of the present disclosure are described with reference to the drawings. Identical parts in the drawings are given an identical reference sign, and the description is omitted.
With reference to
One example of the battery 40 is an assembled battery formed by connecting a plurality of lithium-ion batteries 41 in series. Each of the lithium-ion batteries 41 is a secondary battery containing lithium as a charge carrier, and one containing lithium iron phosphate as a positive active material and graphite as a negative active material is used. The way of using the battery 40 is not particularly limited, and the battery 40 may be, for example, mounted to an electric vehicle or a hybrid vehicle and the power stored in the battery 40 is used to drive these vehicles. The lithium-ion batteries 41 forming the battery 40 are sometimes called battery cells.
The battery 40 is connected to the rotating electrical machine 10 via the inverter 20. The rotating electrical machine 10 inputs and outputs the power between the rotating electrical machine 10 and the battery 40, and imparts, during power running, propulsion to a vehicle by the power supplied from the battery 40. The rotating electrical machine 10 also generates power using braking energy of a vehicle and outputs the power to the battery 40 during regeneration.
The voltage sensor 30 detects a voltage between terminals of each of the lithium-ion batteries 41 forming the battery 40, and detects a battery voltage VB obtained by totaling these voltages between the terminals. The current sensor 31 is disposed on a connecting wire LC that connects the battery 40 to the inverter 20, and detects the magnitude and the direction of a charging/discharging current IS that is a current flowing into and out from the battery 40. The battery control device 100 also includes a temperature sensor which is not illustrated. The temperature sensor detects a temperature of the lithium-ion battery 41. The detected values of the sensors are input to the BMU 50.
The battery 40 is configured to be connectable to an external charger 200 via first and second external charging terminals TA, TB. The external charger 200 may be, for example, a DC quick charger. When the external charger 200 is connected to the first and second external charging terminals TA, TB, the battery 40 is charged at a constant current or a constant voltage by high-voltage DC power input from the external charger 200.
The first and second external charging terminals TA, TB are connected to the connecting wire LC via first and second charging paths LA, LB. Specifically, the first external charging terminal TA is, via the first charging path LA, connected to a first connection point PA between a positive terminal of the battery 40 on the connecting wire LC and the inverter 20. The second external charging terminal TB is, via the second charging path LB, connected to a second connection point PB between a negative terminal of the battery 40 on the connecting wire LC and the inverter 20.
The first relay switch 32 is disposed between the first connection point PA on the connecting wire LC and the inverter 20, and the second relay switch 33 is disposed between the second connection point PB on the connecting wire LC and the inverter 20. The first and second relay switches 32, 33 switch the connection state between the battery 40 and the rotating electrical machine 10. The third relay switch 34 is disposed on the first charging path LA, and the fourth relay switch 35 is disposed on the second charging path LB. The third and fourth relay switches 34, 35 switch the connection state between the battery 40 and the external charger 200.
The BMU 50 is a microcomputer formed of, for example, a CPU, a ROM, a RAM, and an input-output interface for inputting and outputting various signals, and has various functions. The BMU 50 is connected to the first to fourth relay switches 32 to 35, and switches the connection states of the first to fourth relay switches 32 to 35 based on the capacity of the battery 40. The BMU 50 is communicably connected to a cruise control ECU 61 via an vehicle-mounted network interface 60. The cruise control ECU 61 controls the inverter 20 and thus drives the rotating electrical machine 10.
The functions provided by the BMU 50 can be provided by software recorded in a tangible memory device and a computer that executes the software, only software, only hardware, or a combination thereof. For example, when the microcomputer is provided by an electronic circuit which is hardware, it can be provided by a digital circuit including a large number of logic circuits, or an analog circuit. For example, the microcomputer executes a program stored in a non-transitory tangible storage medium as its own storage. By executing the program, a method corresponding to the program is executed, or a function corresponding to the program is achieved. The storage may be, for example, a non-volatile memory. The program stored in the storage is updatable via a network such as the internet.
In the present embodiment, the BMU 50 also functions as a capacity estimation device that estimates the capacity of the lithium-ion battery 41. The BMU 50 estimates the capacity of the lithium-ion battery 41 based on the detected values input from the sensors. The BMU 50 includes, as functions that process the detected values input from the sensors, a calculation unit 51, a determination unit 52, a setting unit 53, a control unit 54, and an estimation unit 55. These functions are described later in detail.
As a method for estimating the capacity of the lithium-ion battery 41, there is known a method for using SOC-OCV characteristics showing a correlationship between the state of charge (SOC) and the open circuit voltage (OCV) of the lithium-ion battery 41. The open circuit voltage OCV is a voltage between both terminals of the lithium-ion battery 41 with no load applied thereto (lithium-ion battery 41 in an open circuit state). The SOC [%] is represented by (present capacity/full capacity) of the lithium-ion battery 41×100, and represents the ratio of the present capacity to the full capacity of the lithium-ion battery 41.
The lithium-ion battery 41 containing active materials such as lithium iron phosphate and graphite has a stable open-circuit voltage in a wide range of SOC. A region in which a change in the open-circuit voltage OCV is small is called a plateau region. In the plateau region, a voltage change rate of the open-circuit voltage OCV with respect to the capacity of the lithium-ion battery 41 is a predetermined change rate or lower. In the plateau region, it is sometimes difficult to calculate the SOC of the lithium-ion battery 41 using the SOC-OCV characteristics.
Next, a condition for estimating the capacity of the lithium-ion battery 41 is described with reference to
Therefore, as shown in
A secondary battery, such as the lithium-ion battery 41, sometimes has a higher-capacity portion and a lower-capacity portion generated therein when charged. Such unevenness in capacity is called “unevenness of charge” in the present embodiment. The unevenness in capacity can also occur during discharge, but is here described only for charge scenes, and the description of discharge scenes is omitted. The disclosers have focused on a feature in which the capacity when the voltage change rate has a local maximum during charge is deviated from the specific capacity A in a state in which the unevenness of charge has occurred. This feature is described with reference to
Next, one cause of the increase of the unevenness of charge is described with reference to
The upper graph in
In an example shown in
The BMU 50 maintains a state in which the average current is reduced, until the voltage change rate becomes higher than β. That is, the BMU 50 reduces the average current in a current restriction section 80 from the timing T1 to the timing T2. Then, the BMU 50 increases the average current, which has been reduced, at the timing of the voltage change rate becoming higher than β, that is, the timing T2. The phrase “increase the average current” means increasing the average current compared to the average current in the current restriction section 80. In the example shown in
Thus, the BMU 50 reduces the average current flowing in the lithium-ion battery 41 in the current restriction section 80 in which the voltage change rate is β or lower, that is, the intermediate SOC zone in which the unevenness of charge is likely to occur. Thereby, even when the unevenness of charge has occurred, it is possible to buy time necessary for naturally eliminating the unevenness of charge. As a result, the occurrence of the unevenness of charge is suppressed. Thereby, the deviation described in
The BMU 50 estimates the capacity of the lithium-ion battery 41 after the current restriction section 80. As described in
Next, one exemplary operation of the BMU 50 is described with reference to the flowchart of
In step S101, the BMU 50 determines whether the charge of the lithium-ion battery 41 (battery 40) has been started. The determination method is not limited, and for example, the BMU 50 may determine that the charge has been started, when receiving a signal indicating connection of the external charger 200 to a vehicle. When the BMU 50 determines that the charge has been started (YES in step S101), the process goes to step S102. On the other hand, when the BMU 50 determines that the charge has not been started (NO in step S101), the process is repetitively executed.
In step S102, the BMU 50 determines whether the voltage of the lithium-ion battery 41 is higher than the voltage threshold V1 (see
In step S103, the BMU 50 calculates a voltage change rate of the lithium-ion battery 41. The process goes to step S104, and the BMU 50 determines whether the voltage change rate is β or lower (see
In step S105, the BMU 50 sets, at the timing T1 of the voltage change rate becoming β or lower, the current restriction section 80 in which the average current flowing in the lithium-ion battery 41 is reduced. The state in which the average current is reduced is maintained until the voltage change rate becomes higher than β. The process in step S105 corresponds to the setting unit 53 and the control unit 54 of the BMU 50. When the charge goes on and the BMU 50 determines that the voltage change rate is higher than β, the BMU 50 ends the current restriction section 80 and releases the restriction of the current, and increases the average current that has been reduced (step S106).
The process goes to step S107, and the BMU 50 determines whether the voltage change rate of the lithium-ion battery 41 has a local maximum (see
In step S108, the BMU 50 estimates, as the capacity of the lithium-ion battery 41, the capacity corresponding to the local maximum. The process in step S108 corresponds to the estimation unit 55 of the BMU 50.
In step S109, the BMU 50 calculates a current integrated value by integrating the current applied and the time taken since the local maximum of the voltage change rate. The process goes to step S110, and the BMU 50 determines whether the state of charge of the lithium-ion battery 41 is full charge. When the BMU 50 determines that state of charge of the lithium-ion battery 41 is full charge (YES in step S110), the process goes to step S111. On the other hand, when the BMU 50 determines that the state of charge of the lithium-ion battery 41 is not full charge (NO in step S110), the process is repetitively executed.
In step S111, the BMU 50 calculates the SOH (State of Health) indicating the degradation state of the lithium-ion battery 41. The SOH [%] is represented by (present full capacity/full capacity when new) of the lithium-ion battery 41×100, and represents the ratio of the present full capacity to the full capacity when new of the lithium-ion battery 41. One example of a SOH calculation method is described. The BMU 50 adds, to the capacity of the lithium-ion battery 41 estimated in step S108, the current integrated value calculated in step S109, and thus calculates the full-charge capacity as the present full capacity. The full capacity when new is known, and therefore, when the present full capacity is calculated, the SOH is calculated by the above formula. The process in step S111 corresponds to the calculation unit 51 of the BMU 50.
The first embodiment described above in detail can give the following effects.
The BMU 50 (control unit 54) reduces the average current in the predetermined current restriction section 80 after the start of charging the lithium-ion battery 41 (power storage unit), the average current indicating an average value per unit time of a charging current flowing in the lithium-ion battery 41. The BMU 50 (estimation unit 55) estimates the capacity based on the voltage change rate of the lithium-ion battery 41 after or within the current restriction section. By reducing the average current in the current restriction section 80 in which the unevenness of charge is likely to occur, it is possible to buy time necessary for naturally eliminating the unevenness of charge even when the unevenness of charge has occurred. As a result, the occurrence of the unevenness of charge is suppressed. Thereby, the deviation described in
The BMU 50 sets the current restriction section 80 based on a parameter that changes by charging the lithium-ion battery 41. In
The BMU 50 sets, as the starting point of the current restriction section 80, a point at which the voltage change rate is a first predetermined value or lower, and sets, as the end point of the current restriction section 80, a point at which the voltage change rate is higher than the first predetermined value. One example of the first predetermined value is β. As described in
The BMU 50 estimates, as the capacity of the lithium-ion battery 41, the capacity corresponding to between two local minimums of the voltage change rate after or within the current restriction section. Since the deviation is suppressed by reducing the average current, it is possible to accurately estimate the capacity of the lithium-ion battery 41. In
The BMU 50 calculates the degradation state of the lithium-ion battery 41 based on the estimated capacity of the lithium-ion battery 41, the current integrated value obtained by integrating the charging current applied and the time taken from the estimation of the capacity until the lithium-ion battery 41 satisfies a full-charge condition, and the full capacity when the lithium-ion battery 41 is new. The present embodiment can give a high-accuracy degradation state by calculating the degradation state of the lithium-ion battery 41 using the capacity of the lithium-ion battery 41 that has been accurately estimated.
Next, a second embodiment is described with reference to
When the current charging the lithium-ion battery 41 is larger than a predetermined current in the determination of whether the voltage change rate with respect to the capacity of the lithium-ion battery 41 has a local maximum, it is difficult to distinguish the local maximum. To deal with this difficulty, the discloser has focused on a feature shown in
A reason of the change in the voltage change rate of the real part Zre of the impedance is that the reaction heat during charge is decreased due to a change of the stage of a negative electrode, the rise of temperature becomes mild due to the decrease of the reaction heat, and the decrease of the real part Zre of the impedance also becomes mild due to the rise of temperature being mild. Therefore, the BMU 50 may determine that the voltage change rate has a local maximum when the voltage change rate of the impedance in the lithium-ion battery 41 with respect to the capacity changes beyond a predetermined degree.
One example of a specific method is described. First, the BMU 50 calculates the real part Zre of the impedance in the lithium-ion battery 41. Subsequently, the BMU 50 calculates a differential value of the real part Zre of the impedance with respect to a current integrated value (the voltage change rate of the impedance with respect to the capacity of the lithium-ion battery 41) (step S203 in
In place of the real part Zre of the impedance in the lithium-ion battery 41, an imaginary part Zim of the impedance, an absolute value of the impedance, or a phase of the impedance can also be used. Further, in place of the voltage change rate of the real part Zre of the impedance, the change rate of the temperature of the lithium-ion battery 41 can also be used. That is, the BMU 50 may estimate that the voltage change rate has a local maximum when the change rate of the temperature related to the lithium-ion battery 41 or the voltage change rate of the impedance in the lithium-ion battery 41 changes beyond the predetermined value x.
A part of the configurations of the embodiments may be modified. Hereinafter, modified examples are described.
Regarding a case 1 in
Regarding a case 2 in
Regarding a case 3 in
Regarding a case 4 in
The execution frequency of the cases 1 to 4 is not particularly limited, but, is for example, case 1>case 2>case 3>case 4. Suppose, the battery 40 is charged ten times. In this case, one example of the execution frequency is four times of the case 1, three times of the case 2, two times of the case 3, and one time of the case 4. Thus, by focusing on the number of the lithium-ion batteries 41 used for the determination of the magnitude with respect to β, and thus increasing the average current, it is possible to shorten the charge time or buy time necessary for naturally eliminating the unevenness of charge.
The execution frequency of the cases 1 to 4 may be expressed as follows. (i) When determining that one or more but less than half of the lithium-ion batteries 41 has a voltage change rate of higher than β, the BMU 50 releases the restriction of the current and increases the average current that has been reduced, without determining whether all the lithium-ion batteries 41 have a voltage change rate of higher than β. (ii) When determining that half or more of the lithium-ion batteries 41 have a voltage change rate of higher than β, the BMU 50 releases the restriction of the current and increases the average current that has been reduced, without determining whether all the lithium-ion batteries 41 have a voltage change rate of higher than β. When the charge is performed a plurality of times in a predetermined period, the frequency of executing the control of (i) is, with respect to the number of times of charge, higher than the frequency of executing the control of (ii). (i) corresponds to the case 2, and (ii) corresponds to the case 3. The frequency of executing the control of (i) is three of ten times, and the frequency of executing the control of (ii) is two of ten times. That is, the frequency of the controls is frequency of (i)>frequency of (ii).
(iii) When determining that one lithium-ion battery 41 has a voltage change rate of higher than β, the BMU 50 releases the restriction of the current and increases the average current that has been reduced, without determining whether all the lithium-ion batteries 41 have a voltage change rate of higher than β. (iv) When determining that all the lithium-ion batteries 41 have a voltage change rate of higher than β, the BMU 50 releases the restriction of the current and increases the average current that has been reduced. When the charge is performed a plurality of times in a predetermined period, the frequency of executing the control of (iii) is, with respect to the number of times of charge, higher than the frequency of executing the control of (iv). (iii) corresponds to the case 1, and (iv) corresponds to the case 4. The frequency of executing the control of (iii) is four of ten times, and the frequency of executing the control of (iv) is one of ten times. That is, the frequency of the controls is frequency of (iii)>frequency of (iv). The frequency of (iv) may be low, and may be, for example, about once every few days. This is because it takes a period of a few days until there is a difference in the remaining level between the plurality of lithium-ion batteries 41.
In
The method for setting the starting point and the end point of the current restriction section 80 may be expressed as follows. (a) The setting unit 53 sets the starting point and the end point of the current restriction section 80 based on the voltage change rates of one or more but less than half of the lithium-ion batteries 41. (b) The setting unit 53 sets the starting point and the end point of the current restriction section 80 based on the voltage change rates of half or more of the lithium-ion batteries 41. When the charge is performed a plurality of times in a predetermined period, the frequency of executing the setting of (a) is, with respect to the number of times of charge, higher than the frequency of executing the setting of (b). (a) corresponds to the case 2, and (b) corresponds to the case 3. The frequency of executing the setting of (a) is three of ten times, and the frequency of executing the setting of (b) is two of ten times. That is, the frequency of the settings is frequency of (a)>frequency of (b).
(c) The setting unit 53 sets the starting point and the end point of the current restriction section 80 based on the voltage change rate of one lithium-ion battery 41. (d) The setting unit 53 sets the starting point and the end point of the current restriction section 80 based on the voltage change rates of all the lithium-ion batteries 41. When the charge is performed a plurality of times in a predetermined period, the frequency of executing the setting of (c) is, with respect to the number of times of charge, higher than the frequency of executing the setting of (d). (c) corresponds to the case 1, and (d) corresponds to the case 4. The frequency of executing the setting of (c) is four of ten times, and the frequency of executing the setting of (d) is one of ten times. That is, the frequency of the settings is frequency of (c)>frequency of (d).
The control unit and the method thereof described in the present disclosure may be achieved by a dedicated computer provided so as to include a processor, which is programmed to perform one or a plurality of functions embodied by a computer program, and a memory. Alternatively, the control unit and the method thereof described in the present disclosure may be achieved by a dedicated computer provided so as to include a processor formed of one or more dedicated hardware logic circuits. Alternatively, the control unit and the method thereof described in the present disclosure may be achieved by one or more dedicated computers configured to include a combination of a processor, which is programmed to perform one or a plurality of functions, and a memory, with a processor formed of one or more hardware logic circuits. The computer program may be, as instructions to be performed by a computer, stored in a computer-readable non-transitory tangible storage medium.
Hereinafter, characteristic configurations extracted from the embodiments are described.
A capacity estimation device that estimates a capacity of a power storage unit (41) at a time of charging the power storage unit,
the capacity estimation device including:
a control unit (54) configured to reduce an average current in a predetermined current restriction section after a start of charging the power storage unit, the average current indicating an average value per unit time of a charging current flowing in the power storage unit; and
an estimation unit (55) configured to estimate the capacity based on a voltage change rate of the power storage unit after or within the current restriction section.
The capacity estimation device according to configuration 1, including a setting unit configured to set the current restriction section based on a parameter that changes by charging the power storage unit.
The capacity estimation device according to configuration 1 or 2, wherein
the parameter is the voltage change rate of the power storage unit, and
the setting unit is configured to set, as a starting point of the current restriction section, a point at which the voltage change rate is a first predetermined value or lower.
The capacity estimation device according to any one of configurations 1 to 3, wherein
the setting unit is configured to set, as an end point of the current restriction section, a point at which the voltage change rate is higher than the first predetermined value, and
the control unit is configured to increase the average current after the current restriction section.
The capacity estimation device according to any one of configurations 1 to 4, wherein
the setting unit is configured to set, as the end point of the current restriction section, a point at which the voltage change rate is higher than the first predetermined value and which is before the voltage change rate has a local maximum, and
the control unit is configured to increase the average current after the current restriction section.
The capacity estimation device according to any one of configurations 1 to 5, wherein the estimation unit is configured to estimate, as the capacity of the power storage unit, a capacity corresponding to between two local minimums that the voltage change rate has after or within the current restriction section.
The capacity estimation device according to any one of configurations 1 to 6, wherein
within the current restriction section,
the lower a temperature related to the power storage unit, the more the control unit reduces the average current, or
the longer a lapse of time from production of the power storage unit, the more the control unit reduces the average current.
The capacity estimation device according to any one of configurations 1 to 7, wherein
within the current restriction section,
the higher a temperature related to the power storage unit, the more the control unit increases the average current, or
the shorter a lapse of time from production of the power storage unit, the more the control unit reduces the average current.
The capacity estimation device according to any one of configurations 1 to 8, wherein when a plurality of the power storage units are included, the setting unit is configured to set the starting point and the end point of the current restriction section based on the voltage change rates of one or more of the plurality of the power storage units.
The capacity estimation device according to any one of configurations 1 to 9, wherein when a plurality of the power storage units are included,
(a) the setting unit is configured to set the starting point and the end point of the current restriction section based on the voltage change rates of one or more but less than half of the power storage units, or
(b) the setting unit is configured to set the starting point and the end point of the current restriction section based on the voltage change rates of half or more of the power storage units, and
when charge is performed a plurality of times in a predetermined period, a frequency of executing a setting of (a) is, with respect to the number of times of charge, higher than a frequency of executing a setting of (b).
The capacity estimation device according to any one of configurations 1 to 10, wherein when a plurality of the power storage units are included,
(c) the setting unit is configured to set the starting point and the end point of the current restriction section based on the voltage change rate of one of the power storage units, or
(d) the setting unit is configured to set the starting point and the end point of the current restriction section based on the voltage change rates of all the power storage units, and
when charge is performed a plurality of times in a predetermined period, a frequency of executing a setting of (c) is, with respect to the number of times of charge, higher than a frequency of executing a setting of (d).
The capacity estimation device according to any one of configurations 1 to 11, wherein the estimation unit is configured to estimate that the voltage change rate has a local maximum, when the voltage change rate goes from less than a second predetermined value (K), beyond a third predetermined value (B) higher than the second predetermined value, and then to less than a fourth predetermined value (C) lower than the third predetermined value.
The capacity estimation device according to any one of configurations 1 to 12, wherein the estimation unit is configured to estimate that the voltage change rate has a local maximum, when a change rate of a temperature related to the power storage unit or a voltage change rate of impedance in the power storage unit changes beyond a fifth predetermined value.
The capacity estimation device according to any one of configurations 1 to 13, further including a calculation unit configured to calculate a degradation state of the power storage unit based on the capacity estimated by the estimation unit, a current integrated value obtained by integrating the charging current applied and the time taken from the estimation of the capacity until the power storage unit satisfies a full-charge condition, and a full capacity when the power storage unit is new.
A capacity estimation method that estimates a capacity of a power storage unit (41) at a time of charging the power storage unit,
the capacity estimation method including:
reducing an average current in a predetermined current restriction section after a start of charging the power storage unit, the average current indicating an average value per unit time of a charging current flowing in the power storage unit; and
estimating the capacity based on a voltage change rate of the power storage unit after or within the current restriction section.
The present disclosure has been described in accordance with the examples, but is to be understood not to be limited to the examples and the structures thereof. The present disclosure embraces various modified examples and modifications within the range of equivalency. In addition, various combinations and forms, and other combinations and forms including more, less, or only a single element are also within the spirit and scope of the present disclosure.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2022-098233 | Jun 2022 | JP | national |
The present application is a continuation application of International Application No. PCT/JP2023/020527, filed on Jun. 1, 2023, which claims priority to Japanese Patent Application No. 2022-098233, filed on Jun. 17, 2022. The contents of these applications are incorporated herein by reference in their entirety.
| Number | Date | Country | |
|---|---|---|---|
| Parent | PCT/JP2023/020527 | Jun 2023 | WO |
| Child | 18984097 | US |