Battery module and battery pack including the same
US-12176496-B2 · Dec 24, 2024 · US
US9130248B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9130248-B2 |
| Application number | US-201213481290-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 25, 2012 |
| Priority date | May 25, 2012 |
| Publication date | Sep 8, 2015 |
| Grant date | Sep 8, 2015 |
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A method for modeling changes in the state of charge vs. open circuit voltage (SOC-OCV) curve for a lithium-ion battery cell as it ages. During battery pack charging, voltage and current data are gathered for a battery cell. A set of state equations are used to determine the stoichiometry and state of charge of the cathode half-cell based on the charging current profile over time. The voltage and current data, along with the stoichiometry and state of charge of the cathode half-cell, are then used to estimate maximum and minimum solid concentration values at the anode, using an error function parameter regression/optimization. With stoichiometric conditions at both the cathode and anode calculated, the cell's capacity and a new SOC-OCV curve can be determined.
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What is claimed is: 1. A method for monitoring performance changes in aging cells in a battery pack, said method comprising: providing full-cell open circuit voltage data vs. time and current data vs. time for a cell in the battery pack, where the data is obtained by sensors during a plug-in charge event; calculating cathode half-cell stoichiometry using the current data and providing cathode concentration data vs. time and cathode half-cell open circuit voltage data vs. time;…
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