Calculation system, battery characteristic estimation method, and battery characteristic estimation program
In a calculation system, a data acquisition unit is configured to acquire operation data of a battery, the operation data including at least voltages and currents measured by a management device at a plurality of time points, and states of charge (SOCs) estimated based on at least one of the voltages and the currents, the management device being configured to manage the battery. An extraction unit is configured to, extract, as sample data, a set of an SOC and a voltage from sets of the SOCs and the voltages the plurality of time points included in the operation data in a period in which the battery is regarded as resting, the period being specified based on the currents. An estimation unit is configured to estimate an SOC-open circuit voltage (OCV) characteristic of the battery based on the extracted sample data.
1. A calculation system comprising:
a data acquisition unit configured to acquire operation data of a battery while the battery is mounted on a battery system, the operation data including at least voltages and currents measured by a management device at a plurality of time points, and states of charge (SOCs) estimated based on at least one of the voltages and the currents, the management device being configured to manage the battery;
an extraction unit configured to, extract, as sample data, a set of an SOC and a voltage from sets of the SOCs and the voltages the plurality of time points included in the operation data in a period in which the battery is regarded as resting, the period being specified based on the currents; and
an estimation unit configured to estimate an SOC-open circuit voltage (OCV) characteristic of the battery by generating an approximate curve based on the extracted sample data in a state where an actual SOC-OCV characteristics of the battery managed by the management device have not been acquired.
2. The calculation system according to claim 1 , wherein
the data acquisition unit is configured to acquire operation data of a plurality of types of batteries including the battery measured by a plurality of management devices including the management device, and
the estimation unit is configured to estimate an SOC-OCV characteristic for each of the types of batteries.
3. The calculation system according to claim 2 , wherein the data acquisition unit is configured to acquire the operation data of the plurality of types of batteries via a network.
4. The calculation system according to claim 1 , wherein the extraction unit is configured to extract a set of the SOC and the voltage in a period that a current less than or equal to a predetermined value continues for a duration more than or equal to a predetermined duration.
5. The calculation system according to claim 1 , wherein the extraction unit is configured to:
correct the measured voltages based on a convergence characteristic of a polarization voltage of the battery during a period until the measured voltage converges to an OCV after a charging or discharging of the battery ends; and
extract the corrected voltages.
6. The calculation system according to claim 1 , wherein
the extraction unit configured to separately extract a set of the SOCs and the voltages in a period that the battery is regarded as resting after a charging of the battery is ends and a set of the SOCs and the voltages in a period that the battery is regarded as resting after a discharging of the battery ends, and
the estimation unit is configured to separately generate the SOC-OCV characteristic for the charging of the battery and the SOC-OCV characteristic for the discharging of the battery.
7. The calculation system according to claim 1 , wherein, when full charge capacity (FCC) estimation for a particular battery is requested,
the extraction unit is configured to:
extract voltages from the operation data of the particular battery from two periods sandwiching a charge and discharge period between the two periods, the particular battery being regarded as resting in the two periods; and
extract a current in a period between two time points when the two voltages are extracted, and
the estimation unit is configured to:
refer to the SOC-OCV characteristic to specify two SOCs respectively corresponding to the two voltages to calculate a difference between the two SOCs, and integrate the current in the period between the two time points to calculate a current integrated amount; and
estimate the FCC of the particular battery based on the difference between the SOCs and the integrated current.
8. The calculation system according to claim 1 , wherein
the data acquisition unit is configured to acquire operation data of a plurality of batteries including the battery measured by a plurality of management devices including the management device,
the extraction unit is configured to extract the sample data from the plurality of batteries, respectively, and
the estimation unit is configured to generate the approximate curve based on the extracted sample data from the plurality of batteries.
9. The calculation system according to claim 1 , wherein
the estimation unit estimates the SOC-OCV characteristics of the battery by generating the approximate curve based on operation data obtained by merging operation data of the battery acquired from a plurality of different battery systems of a same type.
10. A battery characteristic estimation method comprising:
acquiring operation data of a battery while the battery is mounted on a battery system, the operation data including at least voltages and currents measured by a management device at a plurality of time points, and states of charge (SOCs) estimated based on at least one of the voltages and the currents, the management device being configured to manage the battery;
extracting, as sample data, a set of an SOC and a voltage from sets of the SOCs and the voltages the plurality of time points included in the operation data in a period in which the battery is regarded as resting, the period being specified based on the currents; and
estimating an SOC-open circuit voltage (OCV) characteristic of the battery by generating an approximate curve based on the extracted sample data in a state where an actual SOC-OCV characteristics of the battery managed by the management device have not been acquired.
11. The battery characteristic estimation method according to claim 10 , wherein
the SOC-OCV characteristics of the battery is estimated by generating the approximate curve based on operation data obtained by merging operation data of the battery acquired from a plurality of different battery systems of a same type.
12. A non-transitory computer-readable recording medium storing a battery characteristic estimation program that causes a computer to execute a method comprising:
acquiring operation data of a battery while the battery is mounted on a battery system, the operation data including at least voltages and currents measured by a management device at a plurality of time points, and states of charge (SOCs) estimated based on at least one of the voltages and the currents, the management device being configured to manage the battery;
extracting, as sample data, a set of an SOC and a voltage from sets of the SOCs and the voltages the plurality of time points included in the operation data in a period in which the battery is regarded as resting, the period being specified based on the currents; and
estimating an SOC-open circuit voltage (OCV) characteristic of the battery by generating an approximate curve based on the extracted sample data in a state where an actual SOC-OCV characteristics of the battery managed by the management device have not been acquired.
13. The non-transitory computer-readable recording medium according to claim 12 , wherein
the SOC-OCV characteristics of the battery is estimated by generating the approximate curve based on operation data obtained by merging operation data of the battery acquired from a plurality of different battery systems of a same type.