Demand response systems and methods for battery management systems

A method for managing a fleet of electric vehicles, comprising:

• receiving, at a processor communicatively coupled to a power source, an instruction comprising a power distribution scheme for charging one or more electric vehicles of the fleet;
• obtaining, at the processor, a dataset associated with the fleet of electric vehicles, wherein the dataset comprises one or more data features from a list comprising dynamic data and historical usage data associated with the fleet of electric vehicles;
• analyzing, at the processor in response to the instruction, the one or more data features using a machine learning model to generate a predicted action;
• and
• instructing, by the processor, the power source to distribute power to the one or more electric vehicles of the fleet according to the predicted action.

A system for managing a set of electrical energy storage devices, comprising:

• a power source;
• a plurality of charging connectors coupled to the power source, the plurality of charging connectors configured to supply a current from the power source to one or more electrical energy storage devices of the set;
• and
• a processor configured to execute machine-readable instructions borne by a non-transitory computer-readable memory device to cause the processor to:
• receive an instruction comprising a power distribution scheme for charging the one or more electrical energy storage devices of the set;
• obtain a dataset associated with the set of electrical energy storage devices, wherein the dataset comprises one or more data features from a list comprising dynamic data and historical usage data associated with the set of electrical energy storage devices;
• analyze, in response to the instruction, the one or more data features using a machine learning model to generate a predicted action;
• and
• instruct the power source to distribute power to the one or more electrical energy storage devices of the set according to the predicted action.