# US 11,444,473 B2 · Dynamic battery charging for maximum wind/solar peak clipping recapture > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,444,473 B2 - Document ID: US11444473B2 - Status: Granted - Kind: B2 - Application number: 16/653,518 - Filed: 2019-10-15 - Published: 2021-04-15 - Granted: 2022-09-13 - Earliest claimed: 2019-10-15 - Assignees: Inventus Holdings, LLC - Applicants: Inventus Holdings, LLC - Inventors: Marc Benedict C. Tinio; Colm B. O'Reilly - Web page: https://patentgrep.com/patent/US11444473B2 ## CPC - H02J 7/35: with light sensitive cells - G05B 13/026: {using a predictor} - H02J 3/381: {Dispersed generators} - H02J 3/388: Arrangements for the handling of islanding, e.g. for disconnection or for avoiding the disconnection of power - H02J 7/865: {Battery or charger load switching, e.g. concurrent charging and load supply (H02J7/50 takes precedence)} - H02J 3/004: {Generation forecast, e.g. methods or systems for forecasting future energy generation} - H02J 7/92: with prioritisation of loads or sources - H02J 2101/24: Photovoltaics - H02J 2101/28: Wind energy - Y04S 10/50: Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications - H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY - G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G) - Y04S: SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS ## Abstract Various embodiments charges battery for a renewable energy source. In one embodiment, a forecast having a plurality of predetermined time intervals with a predicted energy input level of the renewable energy source corresponding to each predetermined time interval is received. A setpoint is calculated for each predetermined time interval for an amount of power available to charge the battery based on the forecast. The battery is charged during a predetermined time interval according to its corresponding setpoint. An actual energy input level of the renewable energy source is monitored and compared to the predicted energy input level for its corresponding time interval to determine a lesser energy input level. The lesser energy input level is set as the setpoint for the corresponding predetermined time interval. ## Claims ### Claim 1 A method of charging a battery for a renewable energy source comprising: receiving a forecast having a plurality of predetermined time intervals with a predicted energy input level of the renewable energy source that is available to charge the battery corresponding to each predetermined time interval; calculating a setpoint for each predetermined time interval for an amount of power available to charge the battery for each predetermined time interval based on the corresponding predicted energy input level of the forecast that is available to charge the battery and a remaining full charge deficit; charging the battery during a predetermined time interval according to its corresponding setpoint; measuring an actual energy input level of the renewable energy source that is available to charge the battery during each predetermined time interval; comparing the actual energy input level to the setpoint for its corresponding time interval to determine which of the actual energy input level and the setpoint is a lesser energy input level; and setting the lesser energy input level as the setpoint for a remainder of the corresponding predetermined time interval. ### Claim 2 (depends on 1) The method of claim 1, wherein the renewable energy source comprises at least one solar photovoltaic cell panel. ### Claim 3 (depends on 2) The method of claim 2, wherein the forecast is an irradiance forecast. ### Claim 4 (depends on 1) The method of claim 1, wherein the renewable energy source comprises at least one wind turbine. ### Claim 5 (depends on 4) The method of claim 4, wherein the forecast predicts wind speed. ### Claim 6 (depends on 1) The method of claim 1, wherein the forecast is based on historical data. ### Claim 7 (depends on 1) The method of claim 1, wherein the predetermined time interval is one hour. ### Claim 8 (depends on 1) The method of claim 1, further comprising: determining that the corresponding predetermined time interval is a scheduled battery discharge time interval; and discharging the battery to an electric power distribution grid according to the setpoint for the remainder of the corresponding predetermined time interval. ### Claim 9 (depends on 1) The method of claim 1, further comprising discharging excess power from the battery for use by an outside party. ### Claim 10 A renewable energy producing system comprising: a rechargeable battery; a load; a transformer that exchanges energy between the rechargeable battery and the load; and a controller that: receives a forecast having a plurality of predetermined time intervals with a predicted energy input level of the renewable energy source that is available to charge the battery corresponding to each predetermined time interval; calculates a setpoint for each predetermined time interval for an amount of power available to charge the battery for each predetermined time interval based on the corresponding predicted energy input level of the forecast that is available to charge the battery and a remaining full charge deficit; and charges the battery during a predetermined time interval according to its corresponding setpoint; and a battery management system that: measures an actual energy input level of the renewable energy source that is available to charge the battery during each predetermined time interval; compares the actual energy input level to the setpoint for its corresponding time interval to determine which of the actual energy input level and the setpoint is a lesser energy input level; and sets the lesser energy input level as the setpoint for a remainder of the corresponding predetermined time interval. ### Claim 11 (depends on 10) The renewable energy producing system of claim 10, wherein the renewable energy source comprises at least one solar photovoltaic cell panel. ### Claim 12 (depends on 10) The renewable energy producing system of claim 10, wherein the forecast is an irradiance forecast. ### Claim 13 (depends on 10) The renewable energy producing system of claim 10, wherein the renewable energy source comprises at least one wind turbine. ### Claim 14 (depends on 13) The renewable energy producing system of claim 13, wherein the forecast predicts wind speed. ### Claim 15 (depends on 10) The renewable energy producing system of claim 10, wherein the controller further: determines that the corresponding predetermined time interval is a scheduled battery discharge time interval; and discharges the battery to an electric power distribution grid according to the setpoint for the remainder of the corresponding predetermined time interval. ### Claim 16 (depends on 10) The renewable energy producing system of claim 10, wherein the controller further: discharges excess power from the battery for use by an outside party. ### Claim 17 A computer program product for charging a battery for a renewable energy source, the computer program product comprising: a non-transitory storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising: receiving a forecast having a plurality of predetermined time intervals with a predicted energy input level of the renewable energy source that is available to charge the battery corresponding to each predetermined time interval; calculating a setpoint for each predetermined time interval for an amount of power available to charge the battery for each predetermined time interval based on the corresponding predicted energy input level of the forecast that is available to charge the battery and a remaining full charge deficit; charging the battery during a predetermined time interval according to its corresponding setpoint; measuring an actual energy input level of the renewable energy source that is available to charge the battery during each predetermined time interval; comparing the actual energy input level to the setpoint for its corresponding time interval to determine which of the actual energy input level and the setpoint is a lesser energy input level; and setting the lesser energy input level as the setpoint for a remainder of the corresponding predetermined time interval. ### Claim 18 (depends on 17) The computer program product of claim 17, wherein the renewable energy source comprises at least one of a solar photovoltaic cell panel or a wind turbine. ### Claim 19 (depends on 17) The computer program product of claim 17, wherein the forecast is at least one of an irradiance forecast or a weather forecast. ### Claim 20 (depends on 17) The computer program product of claim 17, further comprising instructions for: determining that the corresponding predetermined time interval is a scheduled battery discharge time interval; and discharging the battery to an electric power distribution grid according to the setpoint for the remainder of the corresponding predetermined time interval.