Systems and methods for detecting a weak subdivision in a battery system
US-9211802-B2 · Dec 15, 2015 · US
US10005372B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10005372-B2 |
| Application number | US-201615051300-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 23, 2016 |
| Priority date | Feb 23, 2016 |
| Publication date | Jun 26, 2018 |
| Grant date | Jun 26, 2018 |
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A vehicle includes a traction battery and a controller programmed to operate the traction battery according to an estimated value of a battery state of health parameter. The estimated value is updated based on drive cycle parameters of the vehicle over a time interval. The state of health parameters include a battery capacity and a resistance of the traction battery.
Opening claim text (preview).
What is claimed is: 1. A vehicle comprising: a traction battery; and a controller programmed to operate the traction battery according to an estimated value of a state of health parameter and to change the estimated value based on statistical parameters, including a mean positive velocity of the vehicle, describing vehicle motion during a drive cycle and parameters describing a relationship between vehicle motion during past drive cycles and resulting current flow through the traction battery. 2. The vehicle of claim 1 wherein the state of health parameter is a capacity of the traction battery. 3. The vehicle of claim 1 wherein the state of health parameter is an internal impedance of the traction battery. 4. The vehicle of claim 1 wherein the statistical parameters include a standard deviation of acceleration of the vehicle. 5. The vehicle of claim 1 wherein the controller is further programmed to change the estimated value based on a second set of statistical parameters describing current flow through the traction battery during the drive cycle and parameters describing a relationship between current flow through the traction battery during past drive cycles and the state of health parameter. 6. The vehicle of claim 1 wherein the controller is further programmed to receive battery temperature data and change the estimated value further based on a battery temperature profile collected during the drive cycle. 7. The vehicle of claim 1 wherein the parameters describing the relationship are derived from a regression function such that that the estimated value is within a predetermined confidence interval of a true value of the state of health parameter. 8. A vehicle power system comprising: a controller programmed to operate a traction battery according to an estimated value of a state of health parameter and to change the estimated value based on statistical parameters, including a standard deviation of acceleration of the vehicle, describing vehicle motion during a drive cycle and parameters describing a relationship between vehicle motion during past drive cycles and resulting changes to the state of health parameter. 9. The system of claim 8 wherein the state of health parameter is a capacity of the traction battery. 10. The system of claim 8 wherein the state of health parameter is an internal impedance of the traction battery. 11. The system of claim 8 wherein the statistical parameters include a mean positive velocity of the vehicle. 12. The system of claim 8 wherein the controller is further programmed to receive battery temperature data and change the estimated value further based on a battery temperature profile collected during the drive cycle. 13. The system of claim 8 wherein the parameters describing the relationship are derived from a regression function such that that the estimated value is within a predetermined confidence interval of a true value of the state of health parameter. 14. A method of operating a battery in a vehicle comprising: operating, by a controller, the battery according to an estimated value of a battery state of health parameter; and changing, by the controller, the estimated value based on statistical parameters including a standard deviation of vehicle acceleration, describing vehicle motion during a drive cycle and parameters describing a relationship between vehicle motion during past drive cycles and resulting current flow through the battery. 15. The method of claim 14 further comprising changing, by the controller, the estimated value further based on a battery temperature profile collected during the drive cycle. 16. The method of claim 14 further comprising changing, by the controller, the estimated value further based on statistical parameters describing current flow through the battery during the drive cycle and parameters describing a relationship between current flow through the battery during past drive cycles and the state of health parameter. 17. The method of claim 14 further comprising describing the relationship according to a regression function such that that the estimated value is within a predetermined confidence interval of a true value of the battery state of health parameter.
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