Abstract: Systems, methods, and computer media for battery system management and non-linear estimation of battery state of charge are provided herein. Battery data is received for a time period over which a battery system has operated. The battery data represents the actual performance of the battery system over the time period. Sub-periods of charging or discharging can be identified in the time period. For the sub-periods of time, a curve can be fit to the battery data. Using the curves for the battery data for the sub-periods of time, an expected performance of the battery system, over a range of states-of-charge, can be determined. Operating instructions for the battery system can be provided based on the expected performance.

Abstract: Methods and apparatus are disclosed for providing a hierarchical framework for integrating distributed energy resources into power distribution systems. In one example of the disclosed technology, a method implemented with an aggregation server includes receiving a respective utility function associated with each of at least two of a plurality of distributed energy resources representing an amount of energy produced or consumed by the respective associated distributed energy resource as a function of energy price, producing an aggregated utility function associated with the plurality of distributed energy resources based on the received utility functions, transmitting the produced aggregated utility function to a coordinator, receiving a clearing value from the coordinator, and transmitting the received clearing value to each of the plurality of distributed energy resources.

Abstract: Systems, methods, and computer media for battery system management and non-linear estimation of battery state of charge are provided herein. Battery data is received for a time period over which a battery system has operated. The battery data represents the actual performance of the battery system over the time period. Sub-periods of charging or discharging can be identified in the time period. For the sub-periods of time, a curve can be fit to the battery data. Using the curves for the battery data for the sub-periods of time, an expected performance of the battery system, over a range of states-of-charge, can be determined. Operating instructions for the battery system can be provided based on the expected performance.

Abstract: Systems, methods, and computer media for battery system management and non-linear estimation of battery state of charge are provided herein. Battery data is received for a time period over which a battery system has operated. The battery data represents the actual performance of the battery system over the time period. Sub-periods of charging or discharging can be identified in the time period. For the sub-periods of time, a curve can be fit to the battery data. Using the curves for the battery data for the sub-periods of time, an expected performance of the battery system, over a range of states-of-charge, can be determined. Operating instructions for the battery system can be provided based on the expected performance.

Abstract: Methods and apparatus are disclosed for providing a hierarchical framework for integrating distributed energy resources into power distribution systems. In one example of the disclosed technology, a method implemented with an aggregation server includes receiving a respective utility function associated with each of at least two of a plurality of distributed energy resources representing an amount of energy produced or consumed by the respective associated distributed energy resource as a function of energy price, producing an aggregated utility function associated with the plurality of distributed energy resources based on the received utility functions, transmitting the produced aggregated utility function to a coordinator, receiving a clearing value from the coordinator, and transmitting the received clearing value to each of the plurality of distributed energy resources.

Abstract: Systems, methods, and computer media for battery system management and non-linear estimation of battery state of charge are provided herein. Battery data is received for a time period over which a battery system has operated. The battery data represents the actual performance of the battery system over the time period. Sub-periods of charging or discharging can be identified in the time period. For the sub-periods of time, a curve can be fit to the battery data. Using the curves for the battery data for the sub-periods of time, an expected performance of the battery system, over a range of states-of-charge, can be determined. Operating instructions for the battery system can be provided based on the expected performance.