IP Library Granted Patent US 9,419,314
Granted Patent B2
US 9,419,314 · App. 14/275,553 · Granted Aug 16, 2016

Systems and methods for determining battery system power capability

Inventors: Brian J. Koch (Berkley, MI); Brett B. Stawinski (Royal Oak, MI); Patrick Frost (Berkley, MI); Damon R. Frisch (Troy, MI); John E. Novak (Dexter, MI)
Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
H01M10/48B60L11/1851B60L15/20B60L15/2009G01R21/14G01R31/36G01R31/361G01R31/3648G01R31/3693Y02T10/7005Y02T10/7275
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Quick Facts
Patent No.
US 9,419,314
App. No.
14/275,553
Granted
Aug 16, 2016
Kind
B2
Abstract

System and methods for determining battery system power capability in a vehicle are presented. Peak power capability estimation systems and methods disclosed herein may compensate regressed parameters in a battery system circuit model for an effect of current magnitude. Utilizing the disclosed methods for accurately estimating peak power capability of a battery system may provide for, among other things, improved battery system performance modeling and/or improved battery system control and management decisions.

Claims (49)

1. A method of determining a peak power capability of a battery system comprising:

identifying a peak current of the battery system;

determining a regressed ohmic resistance in a battery system model used to model the battery system;

scaling the regressed ohmic resistance to calculate a compensated ohmic resistance of the battery system model based on the peak current;

determining a peak power capability of the battery system based on the compensated ohmic resistance and the battery system model; and

implementing a control action in a vehicle associated with the battery system based on the determined peak power capability.

2. The method of claim 1 , wherein the peak power capability comprises a current-limited peak power capability and the peak current of the battery system comprises a maximum current limit of the battery system.

3. The method of claim 1 , wherein the peak power capability comprises a voltage-limited peak power capability and identifying the peak current comprises:

generating a guessed current;

determining a guessed resistance based on the guessed current using current dependent resistance information;

determining a calculated current based on the guessed resistance; and

determining whether a difference between the calculated current and the guessed current is below a threshold.

4. The method of claim 3 , wherein if the difference between the calculated current and the guessed current is below the threshold, identifying the peak current comprises:

identifying the calculated current as the peak current.

5. The method of claim 3 , wherein if the difference between the calculated current and the guessed current is not below the threshold, identifying the peak current comprises:

iteratively generating subsequent guessed currents, determining subsequent guessed resistances based on the subsequent guessed currents, and determining subsequent calculated currents based on the subsequent guessed currents until a difference between a final subsequent calculated current and a final subsequent guessed current is below the threshold; and

identifying the final subsequent calculated current as the peak current.

6. The method of claim 1 , wherein scaling the regressed ohmic resistance to calculate a compensated ohmic resistance further comprises:

determining a peak resistance based on the peak current;

determining a nominal resistance based on an average current associated with a regression operation used to calculate the regressed ohmic resistance; and

scaling the regressed ohmic resistance by a ratio of the peak resistance to the nominal resistance to calculate the compensated ohmic resistance.

7. The method of claim 1 , wherein the model comprises a circuit model including elements configured to model ohmic resistance, charge transfer, and mass transfer processes of the battery system.

8. The method of claim 1 , wherein the control action comprises an action associated with a regenerative braking acceptance setting of the vehicle.

9. The method of claim 1 , wherein the control action comprises an action associated with a maximum allowed vehicle acceleration.

10. The method of claim 1 , wherein the control action comprises an action associated with initiation of an electric drivetrain system of the vehicle.

11. A non-transitory computer-readable medium comprising instructions that, when executed by a processor, cause the processor to perform a method of determining a peak power capability of a battery system, the method comprising:

identifying a peak current of the battery system;

determining a regressed ohmic resistance in a battery system model used to model the battery system;

scaling the regressed ohmic resistance to calculate a compensated ohmic resistance of the battery system model based on the peak current;

determining a peak power capability of the battery system based on the compensated ohmic resistance and the battery system model; and

implementing a control action in a vehicle associated with the battery system based on the determined peak power capability.

12. The non-transitory computer-readable medium of claim 11 , wherein the control action comprises an action associated with a regenerative braking acceptance setting of the vehicle.

13. The non-transitory computer-readable medium of claim 11 , wherein the peak power capability comprises a current-limited peak power capability and the peak current of the battery system comprises a maximum current limit of the battery system.

14. The non-transitory computer-readable medium of claim 11 , wherein the peak power capability comprises a voltage-limited peak power capability and identifying the peak current comprises:

generating a guessed current;

determining a guessed resistance based on the guessed current using current dependent resistance information;

determining a calculated current based on the guessed resistance; and

determining whether a difference between the calculated current and the guessed current is below a threshold.

15. The non-transitory computer-readable medium of claim 14 , wherein if the difference between the calculated current and the guessed current is below the threshold, identifying the peak current comprises:

identifying the calculated current as the peak current.

16. The non-transitory computer-readable medium of claim 14 , wherein if the difference between the calculated current and the guessed current is not below the threshold, identifying the peak current comprises:

iteratively generating subsequent guessed currents, determining subsequent guessed resistances based on the subsequent guessed currents, and determining subsequent calculated currents based on the subsequent guessed currents until a difference between a final subsequent calculated current and a final subsequent guessed current is below the threshold; and

identifying the final subsequent calculated current as the peak current.

17. The non-transitory computer-readable medium of claim 11 , wherein scaling the regressed ohmic resistance to calculate a compensated ohmic resistance further comprises:

determining a peak resistance based on the peak current;

determining a nominal resistance based on an average current associated with a regression operation used to calculate the regressed ohmic resistance; and

scaling the regressed ohmic resistance by a ratio of the peak resistance to the nominal resistance to calculate the compensated ohmic resistance.

18. The non-transitory computer-readable medium of claim 11 , wherein the control action comprises an action associated with a maximum allowed vehicle acceleration.

19. The non-transitory computer-readable medium of claim 11 , wherein the control action comprises an action associated with initiation of an electric drivetrain system of the vehicle.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 12, 2014
From: KOCH, BRIAN J.; STAWINSKI, BRETT B.; FROST, PATRICK; FRISCH, DAMON R.; NOVAK, JOHN E.
To: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Reel/Frame 032872/0299 →
Continuity (1)
Related Publication 20150321572A1 · Nov 12, 2015