Secondary battery management system
US-2024396357-A1 · Nov 28, 2024 · US
US2025183689A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025183689-A1 |
| Application number | US-202418608617-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 18, 2024 |
| Priority date | Dec 1, 2023 |
| Publication date | Jun 5, 2025 |
| Grant date | — |
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A system may include a power predictor configured to receive characteristic data relating to a battery for powering a load of a device and based on the characteristic data, generate a plurality of power prediction limits, comprising at least a first power prediction limit comprising information regarding a first available power level for the battery over a first time period and a second power prediction limit comprising information regarding a second available power level for the battery over a second time period. The system May 10 also include a power prediction interface configured to communicate the plurality of power prediction limits to a controller, including updating the first power prediction limit at a first update rate different than a second update rate for updating the second power prediction limit.
Opening claim text (preview).
What is claimed is: 1 . A method comprising: receiving characteristic data relating to a battery for powering a load of a device; based on the characteristic data, generating a plurality of power prediction limits, comprising at least a first power prediction limit comprising information regarding a first available power level for the battery over a first time period and a second power prediction limit comprising information regarding a second available power level for the battery over a second time period; and communicating the plurality of power prediction limits to a controller, including updating the first power prediction limit at a first update rate different than a second update rate for updating the second power prediction limit. 2 . The method of claim 1 , wherein: the first update rate is based on a first time period associated with the first power prediction limit; and the second update rate is based on a second time period associated with the second power prediction limit. 3 . The method of claim 1 , wherein: the first update rate is inversely proportional to a first time period associated with the first power prediction limit; and the second update rate is inversely proportional to a second time period associated with the second power prediction limit. 4 . The method of claim 1 , wherein: the characteristic data includes data relating to a power delivery path between the battery and the load; and the plurality of power prediction limits comprises parameters enabling the controller to derive an available power level at a particular location within the power delivery path. 5 . The method of claim 1 , further comprising: determining a quality metric associated with the plurality of power prediction limits; and communicating the quality metric to the controller. 6 . The method of claim 1 , wherein the characteristic data includes a state of charge of the battery. 7 . The method of claim 1 , wherein the characteristic data includes one or more of a voltage associated with the battery, an electrical current delivered by the battery, and a temperature associated with the battery. 8 . The method of claim 1 , further comprising dynamically modifying one or more of the first time period, the second time period, the first update rate, and the second update rate based on interface configuration information received from the controller. 9 . A system comprising: a power predictor configured to: receive characteristic data relating to a battery for powering a load of a device; and based on the characteristic data, generate a plurality of power prediction limits, comprising at least a first power prediction limit comprising information regarding a first available power level for the battery over a first time period and a second power prediction limit comprising information regarding a second available power level for the battery over a second time period; and a power prediction interface configured to communicate the plurality of power prediction limits to a controller, including updating the first power prediction limit at a first update rate different than a second update rate for updating the second power prediction limit. 10 . The system of claim 9 , wherein: the first update rate is based on a first time period associated with the first power prediction limit; and the second update rate is based on a second time period associated with the second power prediction limit. 11 . The system of claim 9 , wherein: the first update rate is inversely proportional to a first time period associated with the first power prediction limit; and the second update rate is inversely proportional to a second time period associated with the second power prediction limit. 12 . The system of claim 9 , wherein: the characteristic data includes data relating to a power delivery path between the battery and the load; and the plurality of power prediction limits comprises parameters enabling the controller to derive an available power level at a particular location within the power delivery path. 13 . The system of claim 9 , wherein the power prediction interface is further configured to: determine a quality metric associated with the plurality of power prediction limits; and communicate the quality metric to the controller. 14 . The system of claim 9 , wherein the characteristic data includes a state of charge of the battery. 15 . The system of claim 9 , wherein the characteristic data includes one or more of a voltage associated with the battery, an electrical current delivered by the battery, and a temperature associated with the battery. 16 . The system of claim 9 , wherein the power prediction interface is further configured to dynamically modify one or more of the first time period, the second time period, the first update rate, and the second update rate based on interface configuration information received from the controller.
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