Estimation device, estimation method, and computer program

Patent metadata

Field	Value
Publication number	US-12241937-B2
Application number	US-202017765597-A
Country	US
Kind code	B2
Filing date	Oct 2, 2020
Priority date	Oct 3, 2019
Publication date	Mar 4, 2025
Grant date	Mar 4, 2025

Abstract

An estimation device includes: a derivation unit deriving a derivation history based on a current, a voltage and a temperature of a lead-acid battery; a first specifying unit specifying a specific gravity of an electrolyte solution; a second specifying unit specifying at least one of: a first degree of softening of a positive electrode material; a second degree of corrosion of a positive electrode grid; a third degree of sulfation of a negative electrode; and a fourth degree of shrinkage of a negative electrode material based on the specified specific gravity, the derived derivation history, and at least one of respective first-third relationships between the specific gravity, respective first-third histories and the respective first-third degrees, and a fourth relationship between a fourth history and the fourth degree; and an estimation unit configured to estimate a degree of deterioration of the battery based on the specified degree.

First claim

The invention claimed is:

1. An estimation device comprising:
a derivation unit configured to derive a derivation history based on a current and a voltage of a first lead-acid battery and a temperature of the first lead-acid battery acquired at an estimation time point;
a first specifying unit configured to specify a specific gravity of an electrolyte solution of the first lead-acid battery;
a second specifying unit configured to specify at least one degree out of: a first degree of softening of a positive electrode material; a second degree of corrosion of a positive electrode grid; a third degree of sulfation of a negative electrode; and a fourth degree of shrinkage of a negative electrode material based on the specified specific gravity, the derived derivation history, and at least one relationship selected from the group consisting of:
a first relationship, which is obtained in advance, between a first history based on a specific gravity of an electrolyte solution and a current, a voltage and a temperature of a second lead-acid battery which is different from the first lead-acid battery, and the first degree;
a second relationship, which is obtained in advance, between a second history based on a specific gravity of an electrolyte solution and a current, a voltage and a temperature of a third lead-acid battery which is different from the first lead-acid battery and the same as or different from the second lead-acid battery, and the second degree;
a third relationship, which is obtained in advance, between a third history based on a specific gravity of an electrolyte solution and a current, a voltage and a temperature of a fourth lead-acid battery which is different from the first lead-acid battery and the same as or different from the second and third lead-acid batteries, and the third degree; and
a fourth relationship, which is obtained in advance, between a fourth history based on a current, a voltage and a temperature of a fifth lead-acid battery which is different from the first lead-acid battery and the same as or different from the second, third and fourth lead-acid batteries, and the fourth degree; and

an estimation unit configured to estimate a degree of deterioration of the first lead-acid battery based on the specified at least one degree.

2. The estimation device according to claim 1 , wherein the first specifying unit is configured to specify the specific gravity of the electrolyte solution of the first lead-acid battery by inputting the derived history to a first learning model that is configured to output a specific gravity of an electrolyte solution when a history based on a current and a voltage of a lead-acid battery and a temperature of the lead-acid battery is inputted to the first learning model.

3. The estimation device according to claim 1 , wherein the second specifying unit is configured to specify at least one of the first degree, the second degree, the third degree and the fourth degree by inputting the derived derivation history and the specified specific gravity of the electrolyte solution of the first lead-acid battery to a second learning model that is configured to output at least one of the first degree, the second degree, the third degree and the fourth degree when a derivation history based on a current, a voltage and a temperature of a lead-acid battery and a specific gravity of an electrolyte solution are inputted to the second learning model.

4. The estimation device according to claim 1 , wherein the estimation unit is configured to estimate the degree of deterioration of the first lead-acid battery by inputting the specified at least one degree to a third learning model that is configured to output the degree of deterioration of a lead-acid battery when at least one of the first degree, the second degree, the third degree and the fourth degree is inputted to the third learning model.

5. The estimation device according to claim 1 , wherein the derivation history includes: an effective discharge capacity obtained by correcting a discharge capacity with a coefficient based on at least one of the temperature of the first lead-acid battery and the specific gravity of the electrolyte solution of the first lead-acid battery; an effective charge capacity obtained by correcting a charge capacity with a coefficient based on at least one of the temperature of the first lead-acid battery and the specific gravity of the electrolyte solution of the first lead-acid battery; or a temperature cumulative value obtained by integration by multiplying the temperature of the first lead-acid battery by a predetermined coefficient or a coefficient based on the specific gravity of the electrolyte solution of the first lead-acid battery.

6. The estimation device according to claim 1 , wherein
the first relationship is between the first history, first design information of the second lead-acid battery and the first degree,
the second relationship is between the second history, second design information of the third lead-acid battery and the second degree,
the third relationship is between the third history, third design information of the fourth lead-acid battery and the third degree,
the fourth relationship is between the fourth history, fourth design information of the fifth lead-acid battery and the fourth degree,
the second specifying unit is configured to specify the at least one degree out of the first to third degrees based on the specific gravity of the electrolyte solution of the first lead-acid battery, the derivation history, and design information of the first lead-acid battery, and the at least one relationship selected from the group consisting of the first to third relationships, or specify the fourth degree based on the derivation history, the design information of the first lead-acid battery and the fourth relationship.

7. The estimation device according to claim 6 , wherein the design information is at least one selected from the group consisting of a number of plates, an amount of a positive active material, a mass of the positive electrode grid, a thickness of the positive electrode grid, a design of the positive electrode grid, a density of the positive electrode material, composition of the positive electrode material, an amount and a kind of an additive in the positive electrode material, composition of a positive electrode alloy, presence or absence, a thickness, a material and gas permeability of a nonwoven fabric that is brought into contact with a positive electrode plate, an amount of a negative active material, an amount and a kind of carbon in the negative electrode material, an amount and a kind of an additive in the negative electrode material, a specific surface area of the negative electrode material, a kind and a concentration of an additive in the electrolyte solution, and an initial specific gravity and an initial amount of the electrolyte solution.

8. The estimation device according to claim 1 , wherein
the estimation unit is configured to estimate the degree of deterioration based on the at least one degree and diagnosis information of the first lead-acid battery.

9. The estimation device according to claim 8 , wherein the diagnosis information is at least one selected from the group consisting of internal resistance, an open circuit voltage, and a state of charge (SOC).

10. The estimation device according to claim 8 , further comprising:
a memory unit configured to store the derivation history, and the degree of deterioration specified by the second specifying unit or the diagnosis information; and
a history erasing unit configured to erase the derivation history, and the degree of deterioration or the diagnosis information, when estimation is made that the fi

Assignees

• Gs Yuasa Int Ltd

Inventors

• Bin Azahar Muhammad Syahid Fitri
• Hamano Yasuyuki

Classifications

• H02J7/971

  the charge cycle being controlled or terminated in response to non-electric parameters · CPC title

• H02J7/80

  including monitoring or indicating arrangements · CPC title

• H02J7/84

  Control of state of health [SOH] · CPC title

• G01R31/367

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

• G01R31/392 Primary

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