A computer-implemented method and computer program product for directing a driver of an electric vehicle to a point of interest and a charging station in close proximity to the point of interest. The method includes the steps of: (a) receiving from a user a requested activity of interest; (b) identifying one or more points of interest matching the requested activity of interest and that are within a pre-determined point of interest range from the electric vehicle; (c) identifying charging stations within a pre-determined station distance from each of the identified points of interest; and (d) presenting to the user the identified points of interest having an identified charging station within the pre-determined station distance. The computer program is configured to perform the aforementioned steps.

A method and system for managing electric vehicle (EV) distributed energy resource(s) (DER) are disclosed. A DER analytics engine may receive electricity consumption data of a plurality of sites from corresponding electricity meters of the plurality of sites, detect EV charging information based at least in part on the electricity consumption data, obtain EV telematics data of EVs associated with the EV charging information, reconcile the EV charging information and the EV telematics data, and generate, based on the reconciled EV charging information and the EV telematics data, models for at least one of continuous EV load prediction, electrical vehicle supply equipment (EVSE detection), and/or optimization for at least one of aggregated load, load per feeder, or maximum revenue for time-of-use tiers.

Systems and methods may coordinate and provide bidirectional energy transfer events between electrified vehicles and other vehicles, devices, and/or structures. A power outage map can automatically be generated in response to a power outage condition of a grid power source. Both a power outage zone and a predicted power outage zone may be identified within the power outage map. A notification, alternative drive route recommendation, etc. may be sent to users of the bidirectional energy transfer system who are operating their vehicles near the power outage zone or the predicted power outage zone.

Systems and methods for flexible charger reservations are provided. In one embodiment, a method includes providing, from a charging entity, a user a flexible charger option for charging an electric vehicle at a first place at a first time. The flexible charger option is associated with a flexible charger compensation offer including a user benefit. The method includes generating an initial reservation for the user at the first place and the first time. The initial reservation is associated with a first cost for the charging entity. The method includes providing the user with the user benefit in response to the user selecting the flexible charger option. The method includes detecting a grid event that changes the first cost for the charging entity. The method includes generating a revised reservation for the electric vehicle associated with a second cost for the charging entity that is less than the first cost.

Systems and methods for charging electric vehicles and for quantitative and qualitative load balancing of electrical demand are provided.

A method for operating an electrically operated or also electrically operable motor vehicle provided with a rechargeable electric energy storage device associated with the drive motor of the motor vehicle. A target charging state is determined for the energy storage device and an operating strategy is determined for a route that is calculated, entered or predicted for the next trip, by which recuperative deceleration is enabled with a specifiable minimum amount for deceleration processes occurring along the route. A total mass of the motor vehicle, including optionally a trailer connected to the motor vehicle, deviating from an input normal value and an air resistance of the motor vehicle deviating from a predetermined normal value are taken into account.

Aspects relate to a system for flight plan generation of an electric vertical takeoff and landing (eVTOL) aircraft. An exemplary system for flight plan generation includes a flight controller mounted on an eVTOL aircraft. The flight controller may be configured to receive a plurality of flight plan data and generate a flight plan for the aircraft as a function of the plurality of flight plan data.

An electric vehicle thermal management system and method utilizing power demand models for both propulsion and auxiliary systems, and an intelligent thermal load management module. A navigation unit formulates potential routes to a destination that is either set by a driver or predicted by a drive cycle prediction module. The routes are used to inform the propulsion power demand model, while historical driving patterns based on GPS data and time-dependent climate inputs inform the auxiliary power demand model. The expected power demands for the individual systems and overall combined system are accounted for in calculations performed by optimization algorithms in an intelligent thermal load management module. The calculations produce desired temperature setpoints which send heating and cooling requests to refrigerant and coolant fluid handlers and subsequent actuators that control the refrigerant and coolant fluid loops.

A method for controlling a charge transfer of an electric vehicle using an electric vehicle charging station, a mobile device, and a cloud server is disclosed. The method includes: receiving, at a mobile device, a message for an electric vehicle of a user from the electric vehicle charging station, wherein a user of the mobile device is associated with the electric vehicle to be charged; sending, from the mobile device, the message for the electric vehicle of the user to the cloud server, wherein the charge transfer request relayed from the mobile device includes identification information; in response to a charging control signal being authorized using identification information received from the mobile device, receiving the charging control signal from the cloud server at the mobile device to be forwarded to the electric vehicle charging station, wherein the charging control signal is configured to adjust a charging parameter at the electric vehicle charging station.

Systems and methods are provided for estimating charge time for an electric vehicle. A current vehicle range of the electric vehicle may be determined, and a range selection of the electric vehicle may be determined. Based on the current vehicle range and a charging range associated with the range selection, an intermediate charging range between the current vehicle range and the charging range associated with the range selection is determined. An estimated charge time to charge the electric vehicle to the intermediate charging range may be determined, and an indication of the intermediate charging range and the estimated charge time to reach the intermediate charging range may be generated for presentation.