Systems, methods and computer readable media for estimating capacity loss in rechargeable electrochemical cells

• US 8,467,984 B2
• Filed: 09/30/2009
• Issued: 06/18/2013
• Est. Priority Date: 09/30/2009
• 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.
• Primary Examiner(s): Taningco, Alexander H
• Assistant Examiner(s): RIVERA VARGAS, MANUEL A
• Application Number:
  US12/571,253
• Publication Number:
  US 20110077880A1
• Time in Patent Office: 1,357 Days
• Field of Search: 702/63
• US Class Current: 702/63
• CPC Class Codes: G01R 31/392 Determining battery ageing or deterioration, e.g. state of health
• CPC Class Codes: H01M 10/052 Li-accumulators
• CPC Class Codes: Y02E 60/10 Energy storage using batteries

Abstract

A system includes an electrochemical cell, monitoring hardware, and a computing system. The monitoring hardware periodically samples charge characteristics of the electrochemical cell. The computing system periodically determines cell information from the charge characteristics of the electrochemical cell. The computing system also periodically adds a first degradation characteristic from the cell information to a first sigmoid expression, periodically adds a second degradation characteristic from the cell information to a second sigmoid expression and combines the first sigmoid expression and the second sigmoid expression to develop or augment a multiple sigmoid model (MSM) of the electrochemical cell. The MSM may be used to estimate a capacity loss of the electrochemical cell at a desired point in time and analyze other characteristics of the electrochemical cell. The first and second degradation characteristics may be loss of active host sites and loss of free lithium for Li-ion cells.

Claims

1. A method of analyzing capacity loss of an electrochemical cell, comprising:

modeling a loss of active host sites of the electrochemical cell with a first sigmoid expression;

modeling a loss of free lithium of the electrochemical cell with a second sigmoid expression;

combining the first sigmoid expression and the second sigmoid expression to develop a multiple sigmoid model; and

estimating a capacity loss of the electrochemical cell at a desired point in time using the multiple sigmoid model;

wherein a processor performs at least one of the acts of the method of analyzing capacity loss of the electrochemical cell.

2. The method of claim 1, further comprising estimating reversible loss elements for one or more of the loss of active host sites and the loss of free lithium and augmenting the multiple sigmoid model with the reversible loss elements.

3. The method of claim 1, further comprising estimating irreversible loss elements for one or more of the loss of active host sites and the loss of free lithium and augmenting the multiple sigmoid model with the irreversible loss elements.

4. The method of claim 1, further comprising defining a baseline capacity for the electrochemical cell at a substantially low cycling rate.

5. The method of claim 4, wherein the low cycling rate is substantially C/25.

6. The method of claim 1, further comprising defining an offset for the multiple sigmoid model at a beginning-of-life condition using a relatively low cycling rate to model polarization effects at higher cycling rates.

7. The method of claim 1, further comprising predicting a maximum capacity fade from a plateau of the multiple sigmoid model as the electrochemical cell approaches and end-of-life condition.

8. The method of claim 1, further comprising interpolating, extrapolating, or a combination thereof, to estimate capacity loss at various cycle rates.

9. The method of claim 1, further comprising:

modeling an addition of free lithium from a lithium source or a lithium reserve of the electrochemical cell with a third sigmoid expression; and

including the third sigmoid expression in the multiple sigmoid model.

10. The method of claim 1, further comprising:

estimating conductance loss for the electrochemical cell;

determining a fraction of power loss due to conductance loss relative to a power goal; and

determining a fraction of power loss due to capacity fade as a portion of overall power loss not related to the fraction of power loss due to conductance loss.

11. The method of claim 1, wherein each of the loss of active host sites and the loss of free lithium are derived from chemical kinetics reaction rates.

12. The method of claim 1, wherein the loss of active host sites and the loss of free lithium are determined from cell characteristics sampled from the electrochemical cell.

13. A model development method, comprising:

periodically sampling cell characteristics of an electrochemical cell;

determining a loss of active host sites and a loss of free lithium from the cell characteristics;

periodically adding the loss of active host sites to a first sigmoid expression;

periodically adding the loss of free lithium to a second sigmoid expression; and

combining the first sigmoid expression and the second sigmoid expression to develop or augment a multiple sigmoid model of the electrochemical cell;

wherein a processor performs at least one of the acts of the model development method.

14. The model development method of claim 13, further comprising selecting the cell characteristics to include one or more of a cycling rate, a voltage, a current, and a temperature.

15. The model development method of claim 13, further comprising estimating a capacity loss of the electrochemical cell at a desired point in time using the multiple sigmoid model.

16. The model development method of claim 13, further comprising estimating reversible loss elements for one or more of the loss of active host sites and the loss of free lithium and augmenting the multiple sigmoid model with the reversible loss elements.

17. The model development method of claim 13, further comprising estimating irreversible loss elements for one or more of the loss of active host sites and the loss of free lithium and augmenting the multiple sigmoid model with the irreversible loss elements.

18. A method of adapting to analysis of capacity loss of an electrochemical cell, comprising:

modeling a loss of active host sites of the electrochemical cell with a first sigmoid expression;

modeling a loss of free lithium of the electrochemical cell with a second sigmoid expression;

combining the first sigmoid expression and the second sigmoid expression to develop a multiple sigmoid model;

estimating a capacity loss of the electrochemical cell at a desired point in time using the multiple sigmoid model; and

modifying at least one of a discharge process for, a charge process for, and composition of, the electrochemical cell responsive to the estimating the capacity loss;

wherein a processor performs at least one of the acts of the method of adapting to analysis of capacity loss of the electrochemical cell.

19. The method claim 18, wherein modifying the composition of the electrochemical cell comprises at least one of modifying a composition of an anode, modifying a composition of a cathode, modifying a composition of an electrolyte, and modifying a relative arrangement of the anode, the cathode, and the electrolyte.

20. A system, comprising:

at least one electrochemical cell;

monitoring hardware operably coupled to the at least one electrochemical cell and configured for periodically sampling cell characteristics of the at least one electrochemical cell;

a computing system operably coupled to the monitoring hardware and configured for periodically determining electrochemical cell information from to the cell characteristics of the electrochemical cell;

adding a loss of active host sites from the electrochemical cell information to a first sigmoid expression;

adding a loss of free lithium from the electrochemical cell information to a second sigmoid expression; and

combining the first sigmoid expression and the second sigmoid expression to develop or augment a multiple sigmoid model of the at least one electrochemical cell.

21. The system of claim 20, wherein the computing system comprises a memory for storing computing instructions and a processor operably coupled to the memory and configured for executing the computing instructions to carry out the acts of determining the electrochemical cell information, adding the loss of active host sites, adding the loss of free lithium, and combining the first sigmoid expression and the second sigmoid expression.

22. The system of claim 20, wherein the computing system is further configured for estimating a capacity loss of the electrochemical cell at a desired point in time using the multiple sigmoid model.

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

periodically sampling cell characteristics of an electrochemical cell;

determining a loss of active host sites and a loss of free lithium from the cell characteristics;

periodically adding the loss of active host sites to a first sigmoid expression;

periodically adding the loss of free lithium to a second sigmoid expression; and

combining the first sigmoid expression and the second sigmoid expression to develop or augment a multiple sigmoid model of the electrochemical cell.

24. The non-transitory computer-readable medium of claim 23, wherein the cell characteristics include one or more of a cycling rate, a voltage, a current, and a temperature.