METHOD, SYSTEM, AND COMPUTER-READABLE MEDIUM FOR DETERMINING PERFORMANCE CHARACTERISTICS OF AN OBJECT UNDERGOING ONE OR MORE ARBITRARY AGING CONDITIONS

• US 20130090900A1
• Filed: 08/29/2012
• Published: 04/11/2013
• Est. Priority Date: 10/10/2011
• Status: Active Grant

• Current Assignee: Battelle Energy Alliance LLC (Battelle Memorial Institute)
• Original Assignee: Battelle Energy Alliance LLC (Battelle Memorial Institute)
• Inventors: Gering, Kevin L.
• Granted Patent: US 9,625,532 B2
• Time in Patent Office: Days
• US Class Current: 703/2
• CPC Class Codes: G01R 31/367 Software therefor, e.g. for battery testing using modelling or look-up tables
• CPC Class Codes: G01R 31/392 Determining battery ageing or deterioration, e.g. state of health

Abstract

A method, system, and computer-readable medium are described for characterizing performance loss of an object undergoing an arbitrary aging condition. The method comprises collecting baseline aging data from the object for at least one known baseline aging condition over time, determining baseline multiple sigmoid model parameters from the baseline data, and determining performance loss data of the object over time through multiple sigmoid model parameters associated with the object undergoing the arbitrary aging condition using a differential deviation-from-baseline approach from the baseline multiple sigmoid model parameters. The system comprises an object, monitoring hardware configured to sample performance characteristics of the object, and a processor coupled to the monitoring hardware. The processor is configured to determine performance loss data for the arbitrary aging condition from a comparison of the performance characteristics of the object deviating from baseline performance characteristics associated with a baseline aging condition.

Claims

1. A method for characterizing performance loss of an object undergoing at least one arbitrary aging condition, the method comprising:

collecting baseline aging data from an object having an aging profile for at least one known baseline aging condition over time;

determining baseline multiple sigmoid model parameters from the baseline data; and

determining performance loss data of the object over time through multiple sigmoid model parameters associated with the object undergoing at least one arbitrary aging condition having an unknown consequence over time using a differential deviation-from-baseline approach from the baseline multiple sigmoid model parameters.

2. The method of claim 1, wherein determining performance loss of the object over time includes determining the multiple sigmoid model parameters associated with the object undergoing the at least one arbitrary aging condition through performing a computer simulation of the object undergoing the at least one arbitrary aging condition.

3. The method of claim 2, wherein performing the computer simulation of the object undergoing the at least one arbitrary aging condition includes performing a plurality of computer simulations, each computer simulation having common time periods with different aging conditions.

4. The method of claim 3, wherein the different aging conditions include at least one different aging path.

5. The method of claim 3, wherein the different aging conditions include at least one different thermal management parameter.

6. The method of claim 1, wherein determining the baseline multiple sigmoid model parameters includes performing a regression analysis through multiple sigmoid model rate expressions to establish sensitivity of the multiple sigmoid model parameters to a plurality of baseline aging conditions.

7. The method of claim 1, wherein using a differential deviation-from-baseline approach from the baseline multiple sigmoid model parameters includes adapting each of the multiple sigmoid model parameters associated with the at least one arbitrary aging condition for a plurality of degradation mechanisms over a plurality of unique aging periods.

8. The method of claim 1, further comprising selecting the at least one known baseline aging condition to include at least one of a known temperature, a cycling rate, and a state of charge for a battery.

9. The method of claim 1, further comprising loading the baseline multiple sigmoid model parameters onboard a monitoring and control system associated with a battery.

10. The method of claim 1, wherein performance loss data includes at least one of a capacity loss, a conductance loss, and a power loss of a battery.

11. The method of claim 10, wherein each of the capacity loss, the conductance loss, and the power loss of a battery is defined in terms of fractional or percent reduction in each metric from a reference value.

12. The method of claim 10, wherein the capacity loss includes at least one of a loss of active host sites and a loss of free lithium in a lithium-ion battery.

13. The method of claim 1, wherein determining performance loss data of the object further includes identifying the performance loss data crossing a predetermined threshold indicating potential for critical failure of a battery.

14. The method of claim 1, wherein collecting baseline aging data from the object includes collecting baseline aging data from at least one of a battery, a natural terrestrial system, a machine, a biological system, and a human.

15. A system for determining performance characteristics of an object, the system comprising:

an object having an aging profile;

monitoring hardware configured to sample performance characteristics of the object; and

a processor coupled to the monitoring hardware, and configured to determine performance loss data for an arbitrary aging condition having an unknown consequence over time from a comparison of the performance characteristics of the object deviating from baseline performance characteristics associated with a baseline aging condition.

16. The system of claim 15, wherein the object includes a battery having at least one electrochemical cell.

17. The system of claim 15, wherein the monitoring hardware includes at least one of a temperature sensor, a voltage sensor, and a current sensor.

18. The system of claim 15, further comprising a memory operably coupled on-board with the processor, wherein the baseline performance characteristics associated is stored in the memory.

19. The system of claim 15, wherein the sampled performance characteristics are represented multiple sigmoid model parameters.

20. The system of claim 15, wherein the processor is further configured to perform thermodynamic analysis on the sampled performance characteristics.

21. The system of claim 20, wherein the thermodynamic analysis includes determining at least one of a Gibbs free energy, an equilibrium constant, and activation energy for the sampled performance characteristics over each unique aging period as well as cumulatively over a plurality of unique aging periods.

22. The system of claim 15, wherein the object is selected from the group consisting of a natural terrestrial system, a machine, and a biological system.

23. A computer-readable medium including computer-executable instructions, which when executed on one or more processors, perform a method, the method comprising:

generating aging characteristics for an object imposed upon by an arbitrary aging condition having unknown consequences; and

predicting future performance loss of the object based upon deviations of the aging characteristics of the object imposed upon by the arbitrary aging condition and baseline aging characteristics associated with a baseline aging condition.

24. The computer-readable medium of claim 23, wherein a predicting future performance loss of the object includes obtaining the aging characteristics of the object imposed upon by the arbitrary aging condition from simulating in a computer the arbitrary baseline aging condition being imposed upon the object.

25. The computer-readable medium of claim 23, wherein predicting future performance loss of the object includes obtaining the aging characteristics of the object imposed upon by the arbitrary aging condition from physical measurements of the object imposed upon by the arbitrary aging condition.

26. The computer-readable medium of claim 23, wherein the baseline aging characteristics include multiple sigmoid model parameters.

27. The computer-readable medium of claim 23, wherein the object includes a battery, and wherein the executed method further includes modifying operation of a temperature management system of a battery in response to predicting the future performance loss of the battery.

28. The computer-readable medium of claim 23, wherein the baseline aging characteristics are associated with a similarly-configured object as the object imposed upon by the arbitrary aging condition.