Method and apparatus for estimating battery life

Patent metadata

Field	Value
Publication number	US-10401433-B2
Application number	US-201514601819-A
Country	US
Kind code	B2
Filing date	Jan 21, 2015
Priority date	Jan 21, 2015
Publication date	Sep 3, 2019
Grant date	Sep 3, 2019

Abstract

A method and apparatus for estimating battery life are provided. A method of estimating battery life may involve estimating first status information of a battery based on battery information acquired from the battery, estimating second status information of the battery using a partial cycle model corresponding to a battery degradation pattern for a partial cycle, and calculating the battery life based on a comparison between the first status information and the second status information.

First claim

What is claimed is:

1. A method of estimating battery life, the method comprising:
acquiring, from a battery, battery information;
calculating first status information of the battery based on the battery information, the first status information comprising a first internal parameter of the battery;
acquiring a partial cycle model modeling a battery degradation pattern caused by a number of partial cycles of the battery;
determining a partial cycle count of the battery;
calculating, by applying the partial cycle model to the partial cycle count, second status information, the second status information comprising a second internal parameter of the battery;
comparing the first status information and the second status information to generate a comparison result;
calculating the battery life based on the comparison result; and
adjusting a structure of the partial cycle model to match the second status information with the first status information, in response to the comparison result indicating that the first status information differs more than a threshold amount from the second status information.

2. The method of claim 1 , wherein the calculating comprises, upon the comparison result indicating that the first status information is within a threshold range of the second status information, using the partial cycle model to calculate the battery life based on user history information.

3. The method of claim 2 , wherein:
the battery life corresponds to a remaining useful life of the battery; and
the calculating of the battery life from the user history information comprises
extracting statistical information associated with the partial cycle model from the user history information,
calculating third status information of the battery based on the statistical information, and
calculating the remaining useful life based on the third status information.

4. The method of claim 3 , wherein the estimating of the third status information comprises:
estimating, from the statistical information and using the partial cycle model, a predictive partial cycle count of a number of future partial cycles of the battery; and
calculating, as the third status information, either one or both of a predicted future capacitance or a predicted future internal resistance based on the predictive partial cycle count by applying the partial cycle model to the predictive partial cycle count.

5. The method of claim 1 , wherein the partial cycle model is a model derived by transforming a full cycle model associated with a degradation caused by a full charge and discharge of the battery.

6. The method of claim 1 , wherein the estimating of the first status information comprises:
acquiring an equivalent model corresponding to the battery; and
estimating, as the first status information and using the battery information and the equivalent model, an internal parameter of the equivalent model.

7. The method of claim 6 , wherein the estimating of the internal parameter comprises estimating, as the first status information, the internal parameter using a state space corresponding to the equivalent model.

8. The method of claim 1 , wherein the estimating of the second status information comprises estimating, as the second status information, either one or both of a capacitance and an internal resistance estimated from a partial cycle count of the battery using the partial cycle model.

9. The method of claim 1 , wherein the battery information comprises any one or any combination of any two or more of a voltage, a current, a temperature, a cycle count, or a partial cycle count of the battery.

10. An apparatus for estimating battery life, the apparatus comprising:
a processor configured to
acquire, from a battery, battery information;
calculate first status information of the battery based on the battery information, the first status information comprising a first internal parameter of the battery,
acquire a partial cycle model modeling a battery degradation pattern caused by a number of partial cycles of the battery,
determine a partial cycle count of the battery,
calculate, by applying the partial cycle model to the partial cycle count, second status information of the battery, the second status information comprising a second internal parameter of the battery,
compare the first status information and the second status information to generate a comparison result,
calculate the battery life based on the comparison result, and
adjust a structure of the partial cycle model to match the second status information with the first status information, in response to the comparison result indicating that the first status information differs more than a threshold amount from the second status information.

11. The apparatus of claim 10 , wherein the processor is further configured to, upon the comparison result indicating that the first status information is within a threshold range of the second status information, use the partial cycle model to calculate the battery life based on user history information.

12. The apparatus of claim 11 , wherein:
the battery life corresponds to a remaining useful life of the battery; and
the processor is further configured to
extract statistical information associated with the partial cycle model from the user history information,
calculate third status information of the battery based on the statistical information, and
calculate the remaining useful life based on the third status information.

13. The apparatus of claim 12 , wherein the processor is further configured to:
estimate, from the statistical information and using the partial cycle model, a predictive partial cycle count of a number of future partial cycles of the battery; and
calculate, as the third status information, either one or both of a predicted future capacitance or a predicted future internal resistance based on the predictive partial cycle count, by applying the partial cycle model to the predictive partial cycle count.

14. The apparatus of claim 10 , further comprising:
a model storage configured to store the partial cycle model, wherein the partial cycle model is a model derived by transforming a full cycle model associated with a degradation caused by a full charge and discharge of the battery.

15. The apparatus of claim 10 , wherein the processor is further configured to:
acquire an equivalent model corresponding to the battery; and
estimate, as the first status information and using the battery information and the equivalent model, an internal parameter of the equivalent model.

16. The apparatus of claim 15 , wherein the processor is further configured to estimate, as the first status information, the internal parameter using a state space corresponding to the equivalent model.

17. The apparatus of claim 10 , wherein the second estimator is configured to estimate, as the second status information, either one or both of a capacitance and an internal resistance estimated from a partial cycle count of the battery using the partial cycle model.

18. The apparatus of claim 10 , wherein the battery information comprises any one or any combination of any two or more of a voltage, a current, a temperature, a cycle count, or a partial cycle count of the battery.

19. An apparatus for estimating battery life, the apparatus comprising:
a sensor configured to detect battery performance information of a battery that powers a device, the battery performance information comprising any one or any combination of any two or more of a voltage, a cur

Assignees

• Samsung Electronics Co Ltd
• Univ North Carolina State

Inventors

• Chow Mo-Yuen
• Rahimi Eichi Habiballah
• Yeo Taejung
• Jeon Paul Barom

Classifications

• Y02T10/84

  Data processing systems or methods, management, administration · CPC title

• G01R31/3648 Primary

  comprising digital calculation means, e.g. for performing an algorithm · CPC title

• B60L58/12

  responding to state of charge [SoC] · CPC title

• G01R31/367

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

• G01R31/382 Primary

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