Direct Current Power Distribution Method, Device and System
US-2021288514-A1 · Sep 16, 2021 · US
US12149116B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12149116-B2 |
| Application number | US-201917251603-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 13, 2019 |
| Priority date | Jun 13, 2018 |
| Publication date | Nov 19, 2024 |
| Grant date | Nov 19, 2024 |
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A system and method for energy management of hybrid power generation systems is provided. In some implementations, an energy power management system (EPMS) may receive information indicating a health event for a hybrid power generation system comprising a battery. The EPMS may modify a battery charging condition based on the information indicating the health event. Further, the EPMS may direct the hybrid power generation system to charge the battery based on a state of charge (SOC) of the battery and the modified battery charging condition. Also, the EPMS may direct the hybrid power generation system to modify one or more system parameters based on the modified battery charging condition.
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What is claimed is: 1. A method for energy management of hybrid energy systems comprising: receiving, by an energy power management system, information indicating a health event corresponding to a hybrid power generation system comprising a battery; modifying, by the energy power management system, a battery charging condition based on the information indicating the health event, wherein the battery charging condition comprises one or both of a maximum charging threshold and a minimum charging threshold of the battery, and wherein both of the maximum and minimum charging thresholds are either increased or decreased simultaneously with respect to each other based on the information; directing, by the energy power management system, the hybrid power generation system to charge the battery based on a state of charge (SOC) of the battery and the modified battery charging condition; and directing, by the energy power management system, the hybrid power generation system to modify one or more system parameters based on the health event. 2. The method of claim 1 , wherein the information indicates one or more system operation conditions, and wherein the modifying the battery charging condition is based on the one or more system operation conditions. 3. The method of claim 1 , wherein the information comprises prognostic information, and wherein the modifying the battery charging condition is based on the prognostic information. 4. The method of claim 3 , wherein the prognostic information comprises a prognostic enabled condition. 5. A method for energy management of hybrid energy systems comprising: receiving, by an energy power management system, information indicating a health event corresponding to a hybrid power generation system comprising a battery; modifying, by the energy power management system, a battery charging condition based on the information indicating the health event, wherein the battery charging condition comprises one or both of a maximum charging threshold and a minimum charging threshold of the battery, and wherein both of the maximum and minimum charging thresholds are either increased or decreased simultaneously with respect to each other based on the information; and directing, by the energy power management system, the hybrid power generation system to charge the battery based on a state of charge (SOC) of the battery and the modified battery charging condition. 6. A hybrid energy system comprising: a hybrid power generation system comprising a battery; and an energy power management system coupled to the hybrid power generation system, the energy power management system comprising at least one computing device configured to: receive information indicating a health event corresponding to the hybrid power generation system; modify a battery charging condition based on the information indicating the health event, wherein the battery charging condition comprises one or both of a maximum charging threshold and a minimum charging threshold of the battery, and wherein both of the maximum and minimum charging thresholds are either increased or decreased simultaneously with respect to each other based on the information; direct the hybrid power generation system to charge the battery based on a state of charge (SOC) of the battery and the modified battery charging condition; and direct the hybrid power generation system to modify one or more system parameters based on the health event. 7. The hybrid energy system of claim 6 , wherein the information indicates one or more system operation conditions, and wherein the battery charging condition is modified based on the one or more system operation conditions. 8. The hybrid energy system of claim 6 , wherein the information comprises prognostic information, and wherein the battery charging condition is modified based on the prognostic information. 9. The hybrid energy system of claim 8 , wherein the prognostic information comprises a prognostic enabled condition. 10. The hybrid energy system of claim 6 , wherein the information comprises learned and look-ahead information, and wherein the battery charging condition is modified based on the learned and look-ahead information. 11. The hybrid energy system of claim 6 , wherein the information comprises current and prior system health information, and wherein the battery charging condition is modified based on the current and prior system health information. 12. The hybrid energy system of claim 6 , wherein the information comprises current and prior charging system information, and wherein the battery charging condition is modified based on the current and prior charging system information. 13. The hybrid energy system of claim 6 , wherein the information comprises external information, and wherein the battery charging condition is modified based on the external information. 14. The hybrid energy system of claim 8 , wherein the information further comprises diagnostic information, and wherein the battery charging condition is also modified based on the diagnostic information.
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