Characteristic estimation device for storage battery and characteristic estimation method for storage battery

Patent metadata

Field	Value
Publication number	US-12072383-B2
Application number	US-201917431430-A
Country	US
Kind code	B2
Filing date	Apr 11, 2019
Priority date	Apr 11, 2019
Publication date	Aug 27, 2024
Grant date	Aug 27, 2024

Abstract

Provided is a characteristic estimation device for a storage battery including: a voltage detection unit configured to detect a terminal voltage of the storage battery; a time-series data acquisition unit configured to acquire time-series data on the terminal voltage in a stopped state of the storage battery; a model provision unit configured to provide a storage battery model; and a model parameter estimation unit configured to estimate a model parameter of the storage battery model based on the time-series data on the terminal voltage acquired by the time-series data acquisition unit and on the storage battery model provided by the model provision unit. The storage battery model includes an OCV term for expressing OCV of the storage battery and an interparticle diffusion term which is based on a fundamental solution of a one-dimensional diffusion equation expressing ion diffusion among particles forming electrodes of the storage battery.

First claim

The invention claimed is:

1. A characteristic estimation device for a storage battery, comprising:
voltage detection circuitry to detect a terminal voltage of the storage battery;
time-series data acquisition circuitry to acquire time-series data on the terminal voltage in a stopped state of the storage battery;
model provision circuitry to provide a storage battery model that includes an OCV term for expressing OCV of the storage battery, and an interparticle diffusion term which is based on a fundamental solution of a one-dimensional diffusion equation expressing ion diffusion among particles forming an electrode of the storage battery; and
model parameter estimation circuitry to estimate a model parameter of the storage battery model based on the time-series data on the terminal voltage acquired by the time-series data acquisition circuitry and on the storage battery model provided by the model provision circuitry.

2. The characteristic estimation device according to claim 1 , wherein the interparticle diffusion term further includes a time shift parameter.

3. The characteristic estimation device according to claim 1 , wherein the storage battery model further includes an intraparticle diffusion term which is based on a fundamental solution of a three-dimensional diffusion equation expressing ion diffusion in each of the particles forming the electrode of the storage battery.

4. The characteristic estimation device according to claim 2 , wherein the storage battery model further includes an intraparticle diffusion term which is based on a fundamental solution of a three-dimensional diffusion equation expressing ion diffusion in each of the particles forming the electrode of the storage battery.

5. The characteristic estimation device according to claim 1 , wherein the storage battery model further includes a term which is based on a battery equivalent circuit.

6. The characteristic estimation device according to claim 2 , wherein the storage battery model further includes a term which is based on a battery equivalent circuit.

7. The characteristic estimation device according to claim 3 , wherein the storage battery model further includes a term which is based on a battery equivalent circuit.

8. The characteristic estimation device according to claim 4 , wherein the storage battery model further includes a term which is based on a battery equivalent circuit.

9. The characteristic estimation device according to claim 1 , further comprising:
circuitry configured to reset a state of charge of the storage battery, after the model parameter estimation circuitry estimates the model parameter of the storage battery model.

10. A characteristic estimation method for a storage battery, comprising:
detecting, using voltage detection circuitry, a terminal voltage of the storage battery;
acquiring, using time-series data acquisition circuitry, time-series data on the terminal voltage in a stopped state of the storage battery, and being stored the time-series data in a memory;
providing, using model provision circuitry, a storage battery model and storing the storage battery model in the memory, that includes an OCV term for expressing OCV of the storage battery, and an interparticle diffusion term which is based on a fundamental solution of a one-dimensional diffusion equation expressing ion diffusion among particles forming an electrode of the storage battery; and
estimating, using model parameter estimation circuitry, a model parameter of the storage battery model based on the time-series data on the terminal voltage and on the storage battery model stored in the memory.

11. The characteristic estimation method according to claim 10 , wherein the interparticle diffusion term further includes a time shift parameter.

12. The characteristic estimation method according to claim 10 , wherein the storage battery model further includes an intraparticle diffusion term which is based on a fundamental solution of a three-dimensional diffusion equation expressing ion diffusion in each of the particles forming the electrode of the storage battery.

13. The characteristic estimation method according to claim 11 , wherein the storage battery model further includes an intraparticle diffusion term which is based on a fundamental solution of a three-dimensional diffusion equation expressing ion diffusion in each of the particles forming the electrode of the storage battery.

14. The characteristic estimation method according to claim 10 , wherein the storage battery model further includes a term which is based on a battery equivalent circuit.

15. The characteristic estimation method according to claim 11 , wherein the storage battery model further includes a term which is based on a battery equivalent circuit.

16. The characteristic estimation method according to claim 12 , wherein the storage battery model further includes a term which is based on a battery equivalent circuit.

17. The characteristic estimation method according to claim 13 , wherein the storage battery model further includes a term which is based on a battery equivalent circuit.

Assignees

• Mitsubishi Electric Corp

Inventors

• Takegami Tomoki
• Wada Toshihiro

Classifications

• H01M10/48

  Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte (constructional details of current conducting connections for detecting conditions inside cells or batteries, e.g. details of voltage sensing terminals, H01M50/569) · CPC title

• G01R31/3842

  combining voltage and current measurements · CPC title

• Y02E60/10

  Energy storage using batteries · CPC title

• G01R31/367 Primary

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

• H01M10/425 Primary

  Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing (printed circuits H05K1/00) · CPC title