Method for acquiring information about state of battery on basis of voltage change amount of battery during charging, and electronic device for supporting same

Patent metadata

Field	Value
Publication number	US-11927640-B2
Application number	US-201916973117-A
Country	US
Kind code	B2
Filing date	Jun 5, 2019
Priority date	Jun 11, 2018
Publication date	Mar 12, 2024
Grant date	Mar 12, 2024

Abstract

An electronic device according to various embodiments of the present invention includes: a memory which stores one or more mapping parameters that indicate the correlation between a voltage change amount and the state of health (SOH) of the battery; and a processor, wherein the processor can be set to: detect that an external device for charging the battery is connected to the electronic device; charge the battery by using a charging current supplied from the external device; decide on at least one mapping parameter among the one or more mapping parameters on the basis of at least the charging current; check the voltage change amount of the battery while the battery is being charged; and acquire the SOH of the battery at least partially on the basis of the at least one mapping parameter and the voltage change amount.

First claim

The invention claimed is:

1. An electronic device, comprising:
a battery;
a memory storing one or more mapping parameters indicating a correlation between a variation in voltage of the battery and a state of health (SOH) of the battery for a plurality of charging currents; and
a processor,
wherein the processor is configured to:
detect that an external device for charging the battery is connected to the electronic device;
charge the battery using a charging current supplied from the external device, wherein the charging current is one of the plurality of charging currents, and determine, based at least on the charging current, at least one mapping parameter among the one or more mapping parameters for the one of the plurality of charging currents;
identify a variation in voltage of the battery while charging the battery; and
obtain an SOH of the battery based at least on the at least one mapping parameter and the variation in voltage.

2. The electronic device as claimed in claim 1 , wherein the memory further comprises another mapping parameter which indicates a correlation between a variation in voltage of the battery and a state of charging (SOC) of the battery.

3. The electronic device as claimed in claim 1 , wherein the variation in voltage of the battery includes a variation in closed circuit voltage of the battery, and the one or more mapping parameters comprise mapping parameters which indicate a correlation between a variation in closed circuit voltage of the battery and an SOH, and which are configured differently depending on the plurality of charging currents.

4. The electronic device as claimed in claim 1 , wherein the variation in voltage of the battery includes a variation in open circuit voltage of the battery,
wherein the one or more mapping parameters comprise a mapping parameter indicating a correlation between the variation in open circuit voltage of the battery and an SOH, and
wherein the processor is configured to obtain, based at least on the charging current, the variation in voltage including the variation in open circuit voltage of the battery.

5. The electronic device as claimed in claim 1 , wherein the one or more mapping parameters comprise a mapping parameter indicating a correlation with an SOH in association with a temperature, and
wherein the processor is configured to: obtain a temperature of the electronic device using a sensor module; and
determine, based on the temperature, the at least one mapping parameter among the one or more mapping parameters.

6. The electronic device as claimed in claim 1 , wherein the processor is configured to obtain the SOH of the battery using a statistic estimation model or a machine learning scheme, based at least on the at least one mapping parameter and the variation in voltage.

7. The electronic device as claimed in claim 1 , wherein the processor is configured to:
identify whether a state of the electronic device corresponds to a designated condition for obtaining the SOH of the battery, and corresponds to a charging cycle for obtaining the SOH of the battery; and
obtain the SOH of the battery if the state of the electronic device is identified as corresponding to the designated condition for obtaining the SOH of the battery, and is identified as corresponding to the charging cycle for obtaining the SOH of the battery.

8. The electronic device as claimed in claim 1 , wherein the processor is configured to obtain the variation in voltage, based at least on a variation in voltage during a designated period of time in which the battery is being charged.

9. A method of obtaining a state of a battery of an electronic device, based on a variation in voltage of the battery during charging, the method comprising:
storing one or more mapping parameters indicating a correlation between a variation in voltage of the battery and a state of health (SOH) of the battery for a plurality of charging currents in a memory;
detecting that an external device for charging the battery is connected to the electronic device;
charging the battery using a charging current supplied from the external device, wherein the charging current is one of the plurality of charging currents;
determining, based at least on the charging current, at least one mapping parameter among the one or more mapping parameters stored in the memory for the one of the plurality of charging currents;
identifying a variation in voltage of the battery while charging the battery; and
obtaining a state of health (SOH) of the battery based at least on the at least one mapping parameter and the variation in voltage.

10. The method as claimed in claim 9 , wherein the memory further comprises another mapping parameter which indicates a correlation between a variation in voltage of the battery and an SOC.

11. The method as claimed in claim 9 , wherein the variation in voltage of the battery includes a variation in closed circuit voltage of the battery, and
wherein the one or more mapping parameters comprise mapping parameters, which indicate a correlation between a variation in closed circuit voltage of the battery and an SOH, and which are configured differently for the plurality of charging currents.

12. The method as claimed in claim 9 , wherein the variation in voltage of the battery includes a variation in open circuit voltage of the battery,
wherein the one or more mapping parameters comprise a mapping parameter indicating a correlation between a variation in open circuit voltage of the battery and an SOH, and
wherein the obtaining of the variation in voltage of the battery comprises obtaining the variation including the variation in open circuit voltage of the battery, based at least on the charging current.

13. The method as claimed in claim 9 , wherein the one or more mapping parameters comprise a mapping parameter indicating a correlation with an SOH in association with a temperature, and
wherein the method further comprises:
obtaining a temperature of the electronic device using a sensor module; and
determining, based on the temperature, the at least one mapping parameter among the one or more mapping parameters.

14. The method as claimed in claim 9 , wherein the obtaining the SOH of the battery comprises:
obtaining the SOH of the battery using a statistic estimation model or a machine learning scheme, based at least on the at least one mapping parameter and the variation in the voltage.

15. The method as claimed in claim 9 , further comprising:
identifying whether the state of the electronic device corresponds to a designated condition for obtaining the SOH of the battery, and corresponds to a charging cycle for obtaining the SOH of the battery; and
obtaining the SOH of the battery if the state of the electronic device is identified as corresponding to the designated condition for obtaining the SOH of the battery and as corresponding to the charging cycle for obtaining the SOH of the battery.

Assignees

• Samsung Electronics Co Ltd

Inventors

• Han Seongho
• Oh Bookeun
• Kim Gilho
• Oh Junyoung
• Wi Sungun
• Lee Jaeyeon

Classifications

• G01R31/367 Primary

  Software therefor, e.g. for battery testing using modelling or look-up tables · CPC title

• G01R31/371

  with remote indication, e.g. on external chargers · CPC title

• G01R31/382

  Arrangements for monitoring battery or accumulator variables, e.g. SoC · CPC title

• G06N20/00

  Machine learning · CPC title

• G01R31/3835 Primary

  involving only voltage measurements · CPC title