Early detection of battery cell performance degradation
US-12370921-B2 · Jul 29, 2025 · US
US2024006675A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2024006675-A1 |
| Application number | US-202118253194-A |
| Country | US |
| Kind code | A1 |
| Filing date | Nov 16, 2021 |
| Priority date | Nov 19, 2020 |
| Publication date | Jan 4, 2024 |
| Grant date | — |
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Various embodiments relate to determining a lithium-plating state of a battery. Various embodiments include a method including: observing a first characteristic of a battery, observing a second characteristic of the battery, and determining, based on the first characteristic and the second characteristic, a lithium-plating state of the battery. In some embodiments, the first characteristic and the second characteristic may each be one of: a rate of change of the capacity per cycle over a number of cycles, end-of-charge rest voltage over a number of cycles, and a coulombic efficiency over a number of cycles. Related devices are also disclosed.
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1 . A method comprising: observing a first characteristic of a battery; observing a second characteristic of the battery; and determining, based on the first characteristic and the second characteristic, a lithium-plating state of the battery. 2 . The method of claim 1 , further comprising: observing a third characteristic of the battery, wherein determining the lithium-plating state of the battery comprises determining the lithium plating state of the battery based on the first characteristic, the second characteristic and the third characteristic. 3 . The method of claim 1 , further comprising measuring over time, three or more of: voltage of the battery, first current provided by the battery, second current received by the battery, first charge received by the battery, or second charge provided from the battery. 4 . The method of claim 1 , wherein observing the first characteristic comprises measuring capacity of the battery over a number of cycles and determining a rate of change of the capacity per cycle over the number of cycles. 5 . The method of claim 4 , wherein determining the lithium-plating state of the battery comprises determining that the battery exhibits lithium plating based on observing a substantially non-linear rate of change of the capacity of the battery over the number of cycles. 6 . The method of claim 4 , wherein determining the lithium-plating state of the battery comprises determining that the battery exhibits solid-electrolyte-interphase-dominant aging based on observing a substantially-linearly-increasing rate of change of the capacity of the battery over the number of cycles. 7 . The method of claim 1 , wherein observing the first characteristic comprises measuring a voltage at the end of the rest period after charge (EOCV) for a number of cycles. 8 . The method of claim 7 , wherein determining the lithium-plating state of the battery comprises determining that the battery exhibits lithium plating based on observing a negative second derivative of the (EOCV) with respect to cycles over the number of cycles. 9 . The method of claim 7 , wherein determining the lithium-plating state of the battery comprises determining that the battery exhibits lithium plating based on observing a positive correlation between the EOCV over the number of cycles and a capacity fade over the number of cycles. 10 . The method of claim 7 , wherein determining the lithium-plating state of the battery comprises determining that the battery exhibits solid-electrolyte-interphase-dominant aging based on observing a substantially unchanging EOCV over the number of cycles. 11 . The method of claim 1 , wherein observing the first characteristic comprises measuring, over a number of cycles, a first amount of charge received by the battery during a cycle and a second amount of charge provided by the battery during the cycle and determining a ratio between the first amount of charge and the second amount of charge. 12 . The method of claim 11 , wherein determining the lithium-plating state of the battery comprises determining that the battery exhibits lithium plating based on observing the ratio being less than 0.995 for one or more cycles of the number of cycles and the ratio being greater than or equal to 0.995 for one or more subsequent cycles of the number of cycles. 13 . The method of claim 11 , wherein determining the lithium-plating state of the battery comprises determining that the battery exhibits solid-electrolyte-interphase-dominant aging based on observing the ratio being substantially the same over the number of cycles. 14 . The method of claim 1 , wherein determining the lithium-plating state of the battery comprises using a machine-learning model trained on data sets including the first characteristic and the second characteristic. 15 . The method of claim 14 , wherein the machine-learning model is based at least in part on a decision tree. 16 . The method of claim 1 , wherein determining the lithium-plating state of the battery comprises determining a probability regarding whether substantial lithium plating has occurred at an anode of the battery. 17 . The method of claim 1 , further comprising, based on the lithium-plating state of the battery, one or more of: recommending retiring the battery; recommending servicing the battery; changing a usage profile of the battery; and designing a new battery. 18 . The method of claim 1 , wherein the determining the lithium-plating state of the battery comprises determining the lithium-plating state of a lithium-ion battery. 19 . A battery-management system comprising: a processor; and a computer-readable medium comprising computer executable instructions that, when executed via the processor, cause the processor to perform operations, the operations comprising: observing a first characteristic of a battery; observing a second characteristic of the battery; and determining, based on the first characteristic and the second characteristic, a lithium-plating state of the battery. 20 . A device comprising: a battery; and a battery management system comprising: a processor; and a computer-readable medium comprising computer executable instructions that, when executed via the processor, cause the processor to perform operations, the operations comprising: observing a first characteristic of the battery; observing a second characteristic of the battery; and determining, based on the first characteristic and the second characteristic, a lithium-plating state of the battery.
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