Abstract: A system preconditions a battery pack of a vehicle to support fast charging. The system detects a trigger that that indicates the vehicle will be traveling or the battery pack of the vehicle has been reduced to a predetermined capacity. The system collects a plurality of samples of location data of the vehicle. The system predicts a destination of the vehicle based on the samples. The system determines a propensity of a user to charge the vehicle based on previous charging behavior of the user. The system determines a confidence score of the predicted destination and the determined propensity. The system determines whether to schedule preconditioning of the battery pack based on the confidence score meeting a threshold.

Abstract: A computing system can facilitate cooperation between a utility and a fleet of vehicles. The system can receive a charging requirement from a vehicle. The charging requirement can be based on an available power output capacity of a battery pack of the vehicle. The system can receive solar ramp data from a utility. The solar ramp data can be based on an anticipated power output of a solar energy source. The system can determine a charge plan based on the charging requirement and the solar ramp data and specify a timing of charging or discharging the vehicle. The system can transmit the charge plan to the vehicle. The system can receive load data from the vehicle based on supply or consumption of power by the vehicle and the charge plan.

Abstract: An energy management system includes a local power grid configured to route electricity, the local power grid configured to receive electricity from a municipal power grid of a utility service provider; an electric appliance electrically coupled to the local power grid, the electric appliance configured to receive electricity from the local power grid for operating according to an energy usage state; an electric vehicle electrically coupleable to the local power grid, the electric vehicle configured to exchange electricity with the local power grid; and a system server communicatively coupled to the electric appliance and the electric vehicle.

Abstract: A system preconditions a battery pack of a vehicle to support fast charging. The system detects a trigger that that indicates the vehicle will be traveling or the battery pack of the vehicle has been reduced to a predetermined capacity. The system collects a plurality of samples of location data of the vehicle. The system predicts a destination of the vehicle based on the samples. The system determines a propensity of a user to charge the vehicle based on previous charging behavior of the user. The system determines a confidence score of the predicted destination and the determined propensity. The system determines whether to schedule preconditioning of the battery pack based on the confidence score meeting a threshold.

Abstract: A computing system can facilitate cooperation between a utility and a fleet of vehicles. The system can receive a charging requirement from a vehicle. The charging requirement can be based on an available power output capacity of a battery pack of the vehicle. The system can receive solar ramp data from a utility. The solar ramp data can be based on an anticipated power output of a solar energy source. The system can determine a charge plan based on the charging requirement and the solar ramp data and specify a timing of charging or discharging the vehicle. The system can transmit the charge plan to the vehicle. The system can receive load data from the vehicle based on supply or consumption of power by the vehicle and the charge plan.

Abstract: An energy management system includes a local power grid configured to route electricity, the local power grid configured to receive electricity from a municipal power grid of a utility service provider; an electric appliance electrically coupled to the local power grid, the electric appliance configured to receive electricity from the local power grid for operating according to an energy usage state; an electric vehicle electrically coupleable to the local power grid, the electric vehicle configured to exchange electricity with the local power grid; and a system server communicatively coupled to the electric appliance and the electric vehicle.

Abstract: A system for managing second-lives of a plurality of electric vehicle (EV) batteries includes a plurality of electric vehicles and a stationary second-life unit. Each electric vehicle includes at least one of the plurality of EV batteries during a first-life of each respective EV battery, in which each respective EV battery is utilized to power a respective one of the plurality of electric vehicles. Each of the plurality of electric vehicles is configured for bi-directional electric power exchange with a power grid via a vehicle-to-grid interface. The stationary second-life unit includes each of the plurality of EV batteries during a second-life of each respective EV battery. The stationary second-life unit is configured for bi-directional power exchange with the power grid.