Assigning Authority For Electric Vehicle Charging

1 . A system for determining the parameters of a charging session for an electric vehicle, the system comprising:

an electric vehicle (EV);

an EV charging station;

a mobile communication device associated with the EV; and

an assigning authority engine residing at a server;

wherein the assigning authority engine is in communication with the mobile communication device and the EV charging station; and

wherein the assigning authority engine determines a time of charging for the EV and a target charging level based on a plurality of constraint factors.

2 . The system according to claim 1 wherein a plurality of constraint factors utilized in the determination are the results of inputs, combinations of inputs or calculations derived through the use of one or more inputs derived from applications or instruction sets delivered by the assigning authority engine to the EV that are applicable to that EV for a temporal period or session defined and or determined by the assigning authority engine.

3 . The system according to claim 1 further comprising a secure communication network, wherein the assigning authority engine is in communication with the mobile communication device and the EV charging station over the secure communication network.

4 . The system according to claim 1 wherein the assigning authority is configured to access and combine the at least one off-vehicle content and the on-vehicle data to send a plurality of dynamic, temporal combinations of data elements and a plurality of instructions to the mobile device.

5 . The system according to claim 4 wherein the at least one off-vehicle source is at least one cloud source selected from the group comprising a public cloud source, a private cloud source, a hybrid cloud source, or a multi-cloud source.

6 . The system according to claim 1 wherein the EV is at least one of a long-haul semi-truck, a bus, a sedan, a pick-up, a sports utility vehicle, a limousine, a sports car, a delivery truck, a van, or a mini-van.

7 . The system according to claim 1 wherein the assigning authority engine comprises a predetermined work assignment having a temporal event with a fixed start and completion based on at least one assignable boundary condition.

8 . The system according to claim 1 wherein an assigning authority for the assigning authority engine is performed by a person or persons, who have the appropriate authority and mechanisms to assign specific tasks and assets to a specific vehicle and vehicle operator or custodian, and to assign workflow assignments to same.

9 . The system according to claim 1 wherein the mobile communication device comprises a processor, a graphical user interface, a memory, a plurality of sensors, a wireless transceiver and a mobile application.

10 . The system according to claim 1 wherein the EV charging station is in communication with the assigning authority engine through the mobile communication device.

11 . The system according to claim 1 wherein the assigning authority engine accesses a database comprising data on a plurality of costs for charging an EV at a plurality of specific times of the day, and the assigning authority engine determines a most cost-effective time of the day to charge the EV.

12 . The system according to claim 1 wherein the assigning authority engine determines an electric load on the EV charging station.

13 . The system according to claim 1 wherein the assigning authority is configured to determine an initial state of charge and a charge rating of the EV charging station, wherein determining the time to full charge is based on the initial state of charge and the charge rating.

14 . A method for determining the parameters of a charging session for an electric vehicle (EV), the method comprising:

communicating between an assigning authority engine and a mobile communication device for the EV over a secure wireless network, the assigning authority engine residing at a server

determining at the assigning authority engine that an EV is plugged into an EV charging station;

receiving at the assigning authority engine a plurality of constraint factors for charging of the EV; and

determining a time of charging for the EV and a target charging level based on a plurality of constraint factors for the EV.

15 . The method according to claim 14 wherein a plurality of constraint factors utilized in the determination are the results of inputs, combinations of inputs or calculations derived through the use of one or more inputs derived from applications or instruction sets delivered by the assigning authority engine to the EV that are applicable to that EV for a temporal period or session defined and or determined by the assigning authority engine.

16 . The method according to claim 14 wherein the assigning authority is configured to determine an initial state of charge and a charge rating of the EV charging station, wherein determining the time to full charge is based on the initial state of charge and the charge rating.

17 . The method according to claim 14 wherein the assigning authority is configured to access and combine the at least one off-vehicle content and the on-vehicle data to send a plurality of dynamic, temporal combinations of data elements and a plurality of instructions to the mobile device.

18 . The method according to claim 14 wherein the assigning authority engine is configured to access a database comprising data on a plurality of costs for charging an EV at a plurality of specific times of the day, and the assigning authority engine determines a most cost-effective time of the day to charge the EV.

19 . The method according to claim 14 wherein the assigning authority engine is configured to determine an electric load on the EV charging station.