Battery Diagnostic Device and Method
US-2020408846-A1 · Dec 31, 2020 · US
US11680989B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11680989-B2 |
| Application number | US-202117446397-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 30, 2021 |
| Priority date | Mar 12, 2021 |
| Publication date | Jun 20, 2023 |
| Grant date | Jun 20, 2023 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
According to an embodiment, a diagnosis method of a battery is provided. In the diagnosis method, based on an internal state of the battery at a plurality of mutually different times, a time when the internal state of the battery becomes a predetermined state after the plurality of mutually different times is estimated.
Opening claim text (preview).
What is claimed is: 1. A diagnosis method of a battery, comprising: estimating, by an internal state estimation unit, an internal state of the battery, by using a measurement result relating to at least one of a voltage and an electric current of the battery and a relation of the internal state of the battery to at least one of the voltage and the electric current of the battery, in regard to each of a plurality of mutually different times; setting, by a time prediction unit, a predetermined value, which is a value corresponding to a time when a probability of a sharp decrease of a battery capacitance of the battery increases, in regard to one or more of internal state parameters, the internal state parameters being indicative of the internal state of the battery; and outputting a time when the internal state parameter becomes the predetermined value after the plurality of mutually different times as the time when the probability of the sharp decrease of the battery capacitance of the battery increases, the time when the internal state parameter becomes the predetermined value after the plurality of mutually different times being estimated by the time prediction unit based on the estimated internal state of the battery in each of the plurality of mutually different times. 2. The diagnosis method of claim 1 , wherein in setting the predetermined value: the time when the internal state parameter becomes the predetermined value after the plurality of times is estimated in regard to each internal state parameter, and the time when the probability of the sharp decrease of the battery capacitance of the battery increases is estimated based on an estimation result in regard to the time when the internal state parameter becomes the predetermined value. 3. The diagnosis method of claim 2 , wherein in the estimating of the time when the probability of the sharp decrease of the battery capacitance of the battery increases: a function indicative of a relation of the internal state parameter to a time or a parameter relating to the time is calculated based on the internal state of the battery at the plurality of times, and the time when the internal state parameter becomes the predetermined value is estimated based on a value of the time or the parameter corresponding to the time in a case where the internal state parameter becomes the predetermined value in the calculated function. 4. The diagnosis method of claim 3 , wherein in the estimating of the time when the probability of the sharp decrease of the battery capacitance of the battery increases: a variance is calculated in regard to a constant of the function indicative of the relation of the internal state parameter to the time or the parameter corresponding to the time, and the time when the internal state parameter becomes the predetermined value is estimated based on the calculated variance of the constant. 5. The diagnosis method of claim 1 , further comprising: determining whether or not to correct an estimation result in regard to the time when the probability of the sharp decrease of the battery capacitance of the battery increases, based on a use history of the battery until a latest time among the plurality of times. 6. The diagnosis method of claim 1 , further comprising: executing either an alert or an inspection request for the battery, before a time predicted as the time when the probability of the sharp decrease of the battery capacitance of the battery increases. 7. A diagnosis device of a battery, comprising: a processor configured to: estimate, by an internal state estimation unit, an internal state of the battery, by using a measurement result relating to at least one of a voltage and an electric current of the battery and a relation of the internal state of the battery to at least one of the voltage and the electric current of the battery, in regard to each of a plurality of mutually different times; set, by a time prediction unit, a predetermined value, which is a value corresponding to a time when a probability of a sharp decrease of a battery capacitance of the battery increases, in regard to one or more of internal state parameters, the internal state parameters being indicative of the internal state of the battery; and output a time when the internal state parameter becomes the predetermined value after the plurality of mutually different times as the time when the probability of the sharp decrease of the battery capacitance of the battery increases, the time when the internal state parameter becomes the predetermined value after the plurality of mutually different times being estimated by the time prediction unit based on the estimated internal state of the battery in each of the plurality of mutually different times. 8. A diagnosis system of a battery, comprising: the diagnosis device of claim 7 ; and the battery diagnosed by the diagnosis device. 9. The diagnosis system of claim 8 , further comprising: a battery-mounted device in which the battery is mounted. 10. A battery-mounted device comprising: the diagnosis device of claim 7 ; and the battery diagnosed by the diagnosis device. 11. A non-transitory storage medium storing a diagnosis program of a battery, the diagnosis program causing a computer to implement: estimating, by an internal state estimation unit, an internal state of the battery, by using a measurement result relating to at least one of a voltage and an electric current of the battery and a relation of the internal state of the battery to at least one of the voltage and the electric current of the battery, in regard to each of a plurality of mutually different times; setting, by a time prediction unit, predetermined value, which is a value corresponding to a time when a probability of a sharp decrease of a battery capacitance of the battery increases, in regard to one or more of internal state parameters, the internal state parameters being indicative of the internal state of the battery; and outputting a time when the internal state parameter becomes the predetermined value after the plurality of mutually different times as the time when the probability of the sharp decrease of the battery capacitance of the battery increases, the time when the internal state parameter becomes the predetermined value after the plurality of mutually different times being estimated by the time prediction unit based on the estimated internal state of the battery in each of the plurality of mutually different times.
Control of state of charge [SOC] · CPC title
Control of state of health [SOH] · CPC title
Determining battery ageing or deterioration, e.g. state of health · CPC title
Cells or batteries combined with indicating means for external visualization of the condition, e.g. by change of colour or of light density · CPC title
Testing apparatus · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.