Electric vehicle charging management system and method
Computer-implemented methods and computer systems are disclosed herein as implemented by an autonomous recharging vehicle (ARV) as well as one or more local or remote processors, transceivers, servers, and/or sensors. The methods and systems include: (i) charging the ARV via the one or more processors or manually, where the ARV may be an electric or hybrid autonomous vehicle or otherwise having one or more batteries for recharging electric vehicles; (ii) after being charged, assigning the ARV to a geographical area in which to operate; (iii) broadcasting ARV current GPS location, battery charge level, and/or area being serviced to other vehicles capable of wireless communication or data transmission; (iv) receiving an electronic request for a battery charge from an electric vehicle, such as via wireless communication or data transmission transmitted by the electric vehicle or a corresponding mobile device over one or more radio frequency links; and/or (v) scheduling a rendezvous point for the ARV to recharge the electric vehicle.
1. A computer-implemented method for recharging electric vehicles via an autonomous recharging vehicle (ARV), the method being implemented via one or more local or remote processors, transceivers, servers, and/or sensors, the method comprising:
broadcasting, via the ARV and/or one or more associated processors and transceivers, ARV current GPS location, battery charge level, and/or area being serviced to other vehicles capable of wireless communication or data transmission;
receiving, via the ARV and/or the one or more associated processors and transceivers, a plurality of electronic requests for a battery charge from a plurality of electric vehicles, via wireless communication or data transmission transmitted by the electric vehicles or by a mobile device corresponding to each of the electric vehicles over one or more radio frequency links;
forming, by the one or more processors, a list of potential electric vehicles waiting in queue for charging based upon the electronic requests;
performing, by the one or more processors, an optimization algorithm to:
rearrange an order of the electric vehicles on the list based upon a state of charge (SOC) remaining in the each of the electric vehicles and current route and location of the electric vehicles and the ARV such that the SOC remaining in the each of the electric vehicles assumes a greater weight in the optimization algorithm than the current route and location of the electric vehicles and the ARV, and
determine whether the ARV needs to be recharged between charging the electric vehicles on the list and an amount of time needed to finish recharging the ARV for the ARV to reach a sufficient SOC to resume charging the electric vehicles on the list;
scheduling, via the ARV and/or one or more associated processors and transceivers, a plurality of rendezvous points for the ARV to recharge the electric vehicle based upon the rearranged order of the electric vehicles on the list, the determining of whether the ARV needs to be recharged, and the amount of time needed to finish recharging the ARV; and
automatically routing the ARV to the rendezvous points.
2. The computer-implemented method of claim 1 , wherein the broadcasting is performed via wireless communication or data transmission over one or more radio frequency links.
3. The computer-implemented method of claim 1 , wherein the electronic request includes at least one of: telematics data of the electric vehicle, GPS location data, route information data, or data of requested amount of battery charge/power.
4. The computer-implemented method of claim 1 , wherein the rendezvous point for the ARV to recharge the electric vehicle is determined based upon current route and location of both the electric vehicle and the ARV.
5. The computer-implemented method of claim 1 , the method further comprising:
evaluating, via the ARV and/or one or more associated processors and transceivers, the battery level of the ARV after recharging the electric vehicle has been completed.
6. The computer-implemented method of claim 5 , the method further comprising:
determining, via the ARV and/or one or more associated processors and transceivers, a route to a recharging station, and automatically routing the ARV to the recharging station.
7. The computer-implemented method of claim 1 , the method further comprising:
after recharging the electric vehicle, resuming broadcasting, via the ARV and/or the one or more processors and transceivers, telematics data including location and route data and availability of the ARV for recharging, to the electric vehicles in the area being serviced.
8. A computer system configured to recharge electric vehicles via an autonomous recharging vehicle (ARV), the computer system comprising one or more local or remote processors, transceivers, servers, and/or sensors configured to:
broadcast, via the ARV and/or one or more associated processors and transceivers, ARV current GPS location, battery charge level, and/or area being serviced to other vehicles capable of wireless communication or data transmission;
receive, via the ARV and/or the one or more associated processors and transceivers, a plurality of electronic requests for a battery charge from a plurality of electric vehicles, via wireless communication or data transmission transmitted by the electric vehicles or by a corresponding mobile device over one or more radio frequency links;
form a list of potential electric vehicles waiting in queue for charging based upon the electronic requests;
perform an optimization algorithm to rearrange an order of the electric vehicles on the list based upon a state of charge (SOC) remaining in the each of the electric vehicles and current route and location of the electric vehicles and the ARV such that the SOC remaining in the each of the electric vehicles assumes a greater weight in the optimization algorithm than the current route and location of the electric vehicles and the ARV, and determine whether the ARV needs to be recharged between charging the electric vehicles on the list and an amount of time needed to finish recharging the ARV for the ARV to reach a sufficient SOC to resume charging the electric vehicles on the list;
schedule, via the ARV and/or one or more associated processors and transceivers, a plurality of rendezvous points for the ARV to recharge the electric vehicle based upon the rearranged order of the electric vehicles on the list, the determining of whether the ARV needs to be recharged, and the amount of time needed to finish recharging the ARV; and
automatically route the ARV to the rendezvous points.
9. The computer system of claim 8 , wherein the broadcasting is performed via wireless communication or data transmission over one or more radio frequency links.
10. The computer system of claim 8 , wherein the electronic request includes at least one of: telematics data of the electric vehicle, GPS location data, route information data, and/or data of requested amount of battery charge/power.
11. The computer system of claim 8 , wherein the rendezvous point for the ARV to recharge the electric vehicle is determined based upon current route and location of both the electric vehicle and the ARV.
12. The computer system of claim 8 , the computer system further configured to:
evaluate, via the ARV and/or one or more associated processors and transceivers, the battery level of the ARV after recharging the electric vehicle has been completed.
13. The computer system of claim 8 , the computer system further configured to:
determine, via the ARV and/or one or more associated processors and transceivers, a route to a recharging station, and automatically routing the ARV to the recharging station.
14. The computer system of claim 8 , the computer system further configured to:
after recharging the electric vehicle, resume broadcasting, via the ARV and/or the one or more processors and transceivers, telematics data including location and route data and availability of the ARV for recharging, to the electric vehicles in the area being serviced.