Battery state estimation method and apparatus

Patent metadata

Field	Value
Publication number	US-11782094-B2
Application number	US-202318099422-A
Country	US
Kind code	B2
Filing date	Jan 20, 2023
Priority date	Dec 23, 2019
Publication date	Oct 10, 2023
Grant date	Oct 10, 2023

Abstract

A battery state estimation method includes acquiring an initial value of a vector-type parameter for modeling an electrochemical-thermal (ECT) model of a battery, extracting a predetermined point from the vector-type parameter based on the initial value, generating a target parameter based on the predetermined point, to minimize an error between an actual state of the battery and a state of the battery acquired from the ECT model, and estimating the state of the battery based on the target parameter.

First claim

What is claimed is:

1. A battery state estimation method comprising:
acquiring an actual state of a battery;
acquiring a first state of the battery based on a differentiation, with respect to a stoichiometry, of a vector-type parameter for modeling an electrochemical-thermal (ECT) model of the battery;
calculating a target parameter based on an error between the actual state of the battery and the first state of the battery;
generating a target parameter to minimize the error; and
estimating the state of the battery based on the target parameter.

2. The method of claim 1 , wherein a dimension of the vector-type parameter is based on the stoichiometry of an electrode during charging and discharging of the battery.

3. The method of claim 1 , wherein the generating of the target parameter comprises:
setting a search boundary of a component of the vector-type parameter; and
generating the target parameter based on the search boundary.

4. The method of claim 3 , wherein the setting of the search boundary comprises setting the search boundary based on a gradient for a stoichiometry of the component of the vector-type parameter.

5. The method of claim 1 , wherein the generating of the target parameter to minimize the error comprises:
generating a set of parameters for the ECT model;
generating a candidate parameter based on the set of the parameters; and
determining the candidate parameter as the target parameter, in response to an error calculated based on the candidate parameter being minimized.

6. The method of claim 1 , wherein the error comprises a sum of squared errors (SSE) between the actual state of the battery and the state of the battery acquired from the ECT model, for each of a plurality of points in time.

7. The method of claim 1 , wherein the actual state of the battery and the first state of the battery comprises a voltage of the battery with respect to a current and a temperature.

8. A battery state estimation method comprising:
acquiring an actual state of a battery;
acquiring a first state of the battery based on a vector-type parameter for modeling an electrochemical-thermal (ECT) model of the battery;
calculating a target parameter based on an error between the actual state of the battery and the first state of the battery;
generating a target parameter to minimize the error; and
estimating the state of the battery based on the target parameter,
wherein the acquiring a first state of the battery comprises extracting a predetermined point based on a value obtained by differentiating the vector-type parameter at least once with respect to a stoichiometry.

9. The method of claim 8 , wherein the extracting of the predetermined point based on the value obtained by differentiating the vector-type parameter at least once with respect to the stoichiometry comprises extracting a point at which the value obtained by differentiating the vector-type parameter at least once is a predetermined value, and
wherein the predetermined value is zero.

10. The method of claim 8 , wherein the estimating of the state of the battery comprises:
interpolating a parameter corresponding to each of points other than the predetermined point based on the target parameter; and
estimating the state of the battery based on the interpolated parameter.

11. A battery state estimation apparatus comprising:
a processor configured to:
acquire an actual state of a battery;
acquire a first state of the battery based on a differentiation, with respect to a stoichiometry, of a vector-type parameter for modeling an electrochemical-thermal (ECT) model of the battery;
calculate a target parameter based on an error between the actual state of the battery and the first state of the battery;
generate a target parameter to minimize the error; and
estimate the state of the battery based on the target parameter.

12. The apparatus of claim 11 , wherein a dimension of the vector-type parameter is based on the stoichiometry of an electrode during charging and discharging of the battery.

13. The apparatus of claim 11 , wherein the processor is further configured to extract a predetermined point based on a value obtained by differentiating the vector-type parameter at least once with respect to the stoichiometry.

14. The apparatus of claim 13 , wherein the processor is further configured to extract a point at which the value obtained by differentiating the vector-type parameter at least once is a predetermined value, and
wherein the predetermined value is zero.

15. The apparatus of claim 11 , wherein the processor is further configured to:
set a search boundary of a component of the vector-type parameter; and
generate the target parameter based on the search boundary.

16. The apparatus of claim 15 , wherein the processor is further configured to set the search boundary based on a gradient for the stoichiometry of the component of the vector-type parameter.

17. The apparatus of claim 11 , wherein the processor is further configured to:
generate a set of parameters for the ECT model;
generate a candidate parameter based on the set of the parameters; and
determine the candidate parameter as the target parameter, in response to an error calculated based on the candidate parameter being minimized.

18. The apparatus of claim 11 , wherein the error comprises a sum of squared errors (SSE) between the actual state of the battery and the state of the battery acquired from the ECT model, for each of a plurality of points in time.

19. The apparatus of claim 13 , wherein the processor is further configured to:
interpolate a parameter corresponding to each of points other than a predetermined point based on the target parameter; and
estimate the state of the battery based on the interpolated parameter.

20. The apparatus of claim 11 , wherein the actual state of the battery and the first state of the battery comprises a voltage of the battery with respect to a current and a temperature.

Assignees

• Samsung Electronics Co Ltd

Inventors

• You Kaeweon
• Park Jeonghyun
• Kim Jinho

Classifications

• G01R31/367 Primary

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

• G01R31/3648

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

• G01R31/3842

  combining voltage and current measurements · CPC title

• G01R31/392

  Determining battery ageing or deterioration, e.g. state of health · CPC title