# US 12,222,393 B2 · Systems and method for managing dispatch and lifecycle of energy storage systems on an electrical grid, including management of energy storage systems for provisioning of multiple services > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,222,393 B2 - Document ID: US12222393B2 - Status: Granted - Kind: B2 - Application number: 18/488,596 - Filed: 2023-10-17 - Published: 2024-02-08 - Granted: 2025-02-11 - Earliest claimed: 2019-04-10 - Assignees: Jupiter Power, LLC - Applicants: Jupiter Power, LLC - Inventors: Audrey Fogarty; Martin P. Downey, Jr.; Mandhir S. Sahni; Andrew Bowman - Web page: https://patentgrep.com/patent/US12222393B2 ## CPC - G01R 31/364: Battery terminal connectors with integrated measuring arrangements - H01M 10/425: {Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing (printed circuits H05K1/00)} - H01M 10/44: Methods for charging or discharging (circuits for charging H02J7/00) - Y02E 60/10: Energy storage using batteries - G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12) - H01M: PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY - Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION ## Abstract Systems and methods for managing dispatch of an energy storage system through use of projected outcomes. The projected outcomes are generated based on a model that includes a set of defined operating states. The operating states represent a particularized energy-market allocation approach. An outcome is projected for each operating state. An optimal outcome is selected from the set of projected outcomes. ## Claims ### Claim 1 A system for managing energy dispatch comprising: a network interface for connecting with an electrical power grid; a dispatch schedule optimization platform, associated with the network interface, wherein the dispatch schedule optimization platform is configured to: determine a plurality of possible operating states of an energy system responsive at least in part to a plurality of operating parameters relating to the energy system connected to the electrical power grid; generate an outcome set comprising a projected outcome for each operating state of said plurality of possible operating states; and identify from said outcome set an optimal outcome for the energy system, wherein the optimal outcome comprises one of a first particular time to store electrical energy from the electrical power grid and a second particular time to provide electrical energy to the electrical power grid; and communicate the identified optimal outcome to a scheduling entity. ### Claim 2 (depends on 1) The system of claim 1, wherein said operating parameters comprise a set of technical specifications for said energy system and a set of energy market data. ### Claim 3 (depends on 2) The system of claim 2, wherein said set of energy market data comprises forecast pricing data. ### Claim 4 (depends on 2) The system of claim 2, wherein said dispatch schedule optimization platform is further configured to receive said set of energy market data from a remote source. ### Claim 5 (depends on 1) The system of claim 1, wherein said each operating state is defined by a set of energy market allocation preferences. ### Claim 6 (depends on 1) The system of claim 1, wherein said dispatch schedule optimization platform comprises a local memory and a user-input interface, wherein the plurality of operating parameters are stored in said local memory, and wherein a user may provide a set of technical specifications to said dispatch schedule optimization platform through said user-input interface. ### Claim 7 A method for managing energy dispatch comprising: connecting with an electrical power grid including a plurality of energy resources via a network interface; determining a plurality of possible operating states of an energy system responsive at least in part to a plurality of operating parameters relating to the energy system connected to the electrical power grid using a dispatch schedule optimization platform associated with the network interface; generating an outcome set comprising a projected outcome for each operating state of said plurality of possible operating states using the dispatch schedule optimization platform; identifying from said outcome set an optimal outcome for the energy system, wherein the optimal outcome comprises one of a first particular time to store electrical energy from the electrical power grid and a second particular time to provide electrical energy to the electrical power grid using the dispatch schedule optimization platform; and communicating the identified optimal outcome to a scheduling entity. ### Claim 8 (depends on 7) The method of claim 7, wherein said operating parameters comprise a set of technical specifications for said energy system and a set of energy market data. ### Claim 9 (depends on 8) The method of claim 8, wherein said set of energy market data comprises forecast pricing data. ### Claim 10 (depends on 8) The method of claim 8 further comprising receiving said set of energy market data from a remote source using the dispatch schedule optimization platform. ### Claim 11 (depends on 7) The method of claim 7, wherein said each operating state is defined by a set of energy market allocation preferences. ### Claim 12 (depends on 7) The method of claim 7 further comprising storing the plurality of operating parameters are stored in a local memory associated with the dispatch schedule optimization platform. ### Claim 13 (depends on 7) The method of claim 7 further comprising receiving a set of technical specifications to said dispatch schedule optimization platform through a user-input interface associated with the dispatch schedule optimization platform. ### Claim 14 A dispatch schedule optimization platform associated with an electrical power grid, comprising: a processor, wherein the processor is configured to: determine a plurality of possible operating states of an energy system responsive at least in part to a plurality of operating parameters relating to the energy system connected to the electrical power grid; generate an outcome set comprising a projected outcome for each operating state of said plurality of possible operating states; and identify from said outcome set an optimal outcome for the energy system, wherein the optimal outcome comprises one of a first particular time to store electrical energy from the electrical power grid and a second particular time to provide electrical energy to the electrical power grid; and communicate the identified optimal outcome to a scheduling entity. ### Claim 15 (depends on 14) The dispatch schedule optimization platform of claim 14, wherein said operating parameters comprise a set of technical specifications for said energy system and a set of energy market data. ### Claim 16 (depends on 15) The dispatch schedule optimization platform of claim 15, wherein said set of energy market data comprises forecast pricing data. ### Claim 17 (depends on 15) The dispatch schedule optimization platform of claim 15, wherein said processor is further configured to receive said set of energy market data from a remote source. ### Claim 18 (depends on 14) The dispatch schedule optimization platform of claim 14, wherein said each operating state is defined by a set of energy market allocation preferences. ### Claim 19 (depends on 14) The dispatch schedule optimization platform of claim 14 further comprising a local memory and a user-input interface, wherein the plurality of operating parameters are stored in said local memory, and wherein a user may provide a set of technical specifications to said dispatch schedule optimization platform through said user-input interface.