Systems and methods for evaluating electrolyte wetting and distribution

1. A method of analyzing a battery cell, the method comprising:

determining acoustic features at two or more locations of the battery cell, the acoustic features based on one or more of acoustic signals travelling through at least one or more portions of the battery cell during one or more points in time or responses to the acoustic signals obtained during one or more points in time, wherein the one or more points in time correspond to one or more stages of electrolyte distribution in the battery cell;

generating a score based on the acoustic features, the score being an index of homogeneity of electrolyte distribution in the battery cell;

determining one or more characteristics of the battery cell using the score, the one or more characteristics including at least ideal soaking times for the battery cell; and

optimizing one or more process parameters for manufacturing the battery cell based on the one or more characteristics.

2. The method of claim 1 , further comprising:

creating a two-dimensional map based on the acoustic features at the two or more locations, wherein determining the one or more characteristics of the battery cell based on the acoustic features at the two or more locations of the battery cell comprises determining the one or more characteristics of the battery cell based on the two-dimensional map.

3. The method of claim 2 , further comprising:

creating a matrix with two or more two-dimensional maps created using acoustic features obtained at two or more points in time from one or more battery cells at two or more electrolyte fill levels.

4. The method of claim 1 , further comprising:

applying a dimension reduction algorithm on the acoustic features to determine the score.

5. The method of claim 4 , further comprising:

plotting the score as a function of soaking times for the electrolyte distribution in the battery cell.

6. The method of claim 1 , wherein the one or more points in times belong to one or more of process steps comprising soaking, formation, and self-discharge aging of the battery cell, or to one or more charge/discharge cycles of the battery cell.

7. The method of claim 1 , wherein the one or more characteristics further include one or more of battery cell quality, ideal soaking time, process drifts, or manufacturing defects.

8. The method of claim 7 , wherein the manufacturing defects comprise one or more of contamination, dry spots, voids, electrode and separator folds or tears.

9. The method of claim 1 , wherein the one or more characteristics further include battery cell performance corresponding to one or more of teardown analysis, formation capacity, Electrochemical Impedance Spectroscopy (EIS), self-discharge aging, or charge/discharge cycling.

10. The method of claim 1 , wherein the one or more process parameters include one or more of a number of fill/vacuum cycles, a fill amount of electrolyte per fill step, vacuum pressure, fill temperature, or electrolyte injection distribution for the battery cell.

11. The method of claim 1 , wherein the one or more process parameters include one or more pre-fill parameters for implementing upstream process and materials optimization of the battery cell based on the one or more characteristics, the one or more pre-fill parameters comprising one or more of an electrodes materials and composition ratio, electrode porosity, separator materials, electrolyte chemistry, electrolyte composition, electrolyte viscosity, electrode additives or electrolyte additives.

12. The method of claim 1 , wherein the one or more process parameters include one or more soaking parameters for a soaking process of the electrolyte in the battery cell based on the one or more characteristics, the one or more soaking parameters comprising one or more of soaking temperature, stack pressure, voltage during soaking, battery cell orientation, or agitation of the battery cell.

13. The method of claim 1 , wherein the acoustic features comprise one or more of a time-of-flight, centroid (mean) frequency, first break time, first peak, amplitude, or standard deviation of frequency of the acoustic signals.

14. The method of claim 1 , wherein the acoustic signals travelling through at least one or more portions of the battery cell comprise one or more of acoustic signals transmitted into the battery cell or reflections of the acoustic signals transmitted into the battery cell.

15. The method of claim 14 , wherein the responses to the acoustic signals comprise one or more of responses to the acoustic signals transmitted into the battery cell or responses to the reflections of the acoustic signals transmitted into the battery cell.

16. The method of claim 1 , wherein the acoustic features are determined from one or more time-domain characteristics, one or more frequency-domain characteristics, or one or more time-frequency domain characteristics of the acoustic signals or the response signals or combinations thereof.

17. The method of claim 1 , further comprising:

comparing the acoustic features to a reference set of acoustic features, the reference set of acoustic features obtained at corresponding two or more locations of a reference battery cell.

18. The method of claim 1 , wherein determining one or more characteristics of the battery cell is further based on comparing the acoustic features to predetermined corresponding threshold values.

19. The method of claim 1 , wherein the one or more characteristics comprise a quality of a solid electrolyte interphase (SEI) layer of the battery cell.

20. The method of claim 1 , further comprising:

determining one or more insights based on the determined one or more characteristics, the insights comprising hints for one or more of process design, process optimization, process monitoring, control, or decisions about downstream processes for manufacturing one or more battery cells.

21. A non-transitory computer-readable medium having stored thereon computer-readable instructions that, upon being executed by one or more processors, cause the one or more processors to:

determine acoustic features at two or more locations of a battery cell, the acoustic features based on one or more of acoustic signals travelling through at least one or more portions of the battery cell during one or more points in time or responses to the acoustic signals obtained during one or more points in time, wherein the one or more points in time correspond to one or more stages of electrolyte distribution in the battery cell;

generate a score based on the acoustic features, the score being an index of homogeneity of electrolyte distribution in the battery cell; and

determine one or more characteristics of the battery cell using the score, the one or more characteristics including at least ideal soaking times for the battery cell.

22. A system comprising:

one or more processors; and

memory including instructions that, upon being executed by the processor one or more processors, cause the system to:

determine acoustic features at two or more locations of the battery cell, the acoustic features based on one or more of acoustic signals travelling through at least one or more portions of the battery cell during one or more points in time or responses to the acoustic signals obtained during one or more points in time, wherein the one or more points in time correspond to one or more stages of electrolyte distribution in the battery cell;

generate a score based on the acoustic features, the score being an index of homogeneity of electrolyte distribution in the battery cell;

determine one or more characteristics of the battery cell using the score, the one or more characteristics including at least ideal soaking times for the battery cell; and

optimize one or more process parameters for manufacturing the battery cell based on the one or more characteristics.