Electric vehicle charging management system and method
Computer-implemented methods and computer systems are disclosed herein as implemented by one or more local or remote processors, transceivers, servers, and/or sensors. The methods and systems include the one or more processors (i) determining an electric vehicle has a state of charge (SOC) below a predetermined threshold; (ii) if the SOC is determined to be below the predetermined threshold, determining homes capable of charging electric vehicles within a vicinity of, or a predetermined distance of, the low SOC vehicle's GPS location; (iii) from among the homes within the predetermined distance of the low SOC vehicle, ranking the homes based upon various factors; and/or (iv) scheduling a rendezvous or appointment for the low SOC vehicle with the highest ranked home for recharging the low SOC vehicle, the highest ranked home being equipped to recharge the low SOC vehicle and is available to charge the low SOC vehicle.
1. A computer-implemented method for scheduling charging of a battery of an electric vehicle, the method being implemented via one or more processors, transceivers, servers, and/or sensors, the method comprising:
determining, via the one or more processors, a plurality of charging locations in residential buildings which are capable of charging electric vehicles;
determining, via the one or more processors, time constraints or availability of the plurality of charging locations based at least upon occupancy data that indicates when at least one owner of at least one of the plurality of the charging locations in the residential buildings will be occupying at least one residential building associated with the at least one of the plurality of the charging locations;
scheduling, via the one or more processors and/or transceivers, a rendezvous or appointment during which the electric vehicle will be charged at one of the residential buildings based upon the time constraints or availability of the plurality of charging locations and the occupancy data; and
charging, during the rendezvous or appointment that is scheduled, the battery of the electric vehicle at the one of the residential buildings, wherein the one of the residential buildings is one or more of the following: an apartment complex, a condominium, or a single-family housing.
2. The computer-implemented method of claim 1 , further comprising collecting and analyzing, by a mobile device associated with the electric vehicle, vehicle telematics data.
3. The computer-implemented method of claim 2 , wherein the vehicle telematics data includes one or more of: acceleration, braking, cornering, speed, direction, route, GPS location, and a state of charge (SOC) of the electric vehicle.
4. The computer-implemented method of claim 1 , wherein the determining the plurality of charging locations in residential buildings includes: determining the plurality of charging locations in residential buildings based upon a percentage of a state of charge (SOC) remaining in the electric vehicle.
5. The computer-implemented method of claim 1 , wherein the determining the plurality of charging locations in residential buildings includes: determining the plurality of charging locations in residential buildings based upon a determined distance that the electric vehicle is capable of traveling based upon a state of charge (SOC) remaining in the electric vehicle.
6. The computer-implemented method of claim 1 , wherein the one of the residential buildings at which the rendezvous or appointment is scheduled is determined based upon one or more of:
(a) a distance of each of the plurality of charging locations in the residential buildings to the electric vehicle,
(b) a charging equipment at each of the plurality of charging locations in the residential buildings;
(c) a neighborhood surrounding each of the plurality of charging locations in the residential buildings;
(d) accessibility of each of the plurality of charging locations in the residential buildings, wherein the accessibility is at least partially determined by a distance of each of the plurality of charging locations in the residential buildings from a highway; and/or
(e) whether each of the plurality of charging locations in the residential buildings is located along a route of the electric vehicle.
7. The computer-implemented method of claim 6 , wherein each of the plurality of charging locations in the residential buildings broadcasts at least one of (b) through (d) via wireless communication or data transmission that is received by the one or more processors.
8. The computer-implemented method of claim 6 , the method comprising:
determining or evaluating, via the one or more processors, a cost of providing energy to charge the electric vehicle by each of the plurality of charging locations in the residential buildings.
9. The computer-implemented method of claim 1 , the method further comprising:
for each of the plurality of charging locations in residential buildings, determining, via the one or more processors, a frequency at which other vehicles have previously used the charging location for charging,
wherein the one of the residential buildings at which the rendezvous or appointment is scheduled is determined further based upon the determined frequency for charging of the charging locations.
10. The computer-implemented method of claim 1 , the method further comprising:
for each of the plurality of charging locations in residential buildings, determining, via the one or more processors, one or more user reviews inputted by owners or operators of other vehicles that have previously used the charging location for charging,
wherein the one of the residential buildings at which the rendezvous or appointment is scheduled is determined further based upon the one or more user reviews of the plurality of charging locations.
11. The computer-implemented method of claim 1 , the method further comprising:
eliminating one or more of the charging locations in the residential buildings from the scheduling of the rendezvous or appointment based upon the determined or evaluated time constraints and/or availability of the plurality of charging locations in the residential buildings.
12. The computer-implemented method of claim 1 , the method comprising:
determining or evaluating, via the one or more processors, a plurality of energy prices that are retrieved from the plurality of charging locations in the residential buildings located along a route of the electric vehicle.
13. The computer-implemented method of claim 12 , the method comprising:
initiating, by the one or more processors, a bidding process in which a driver of the electric vehicle places one or more bids on the plurality of charging locations in the residential buildings which are within a predetermined distance of a GPS location of the electric vehicle.
14. The computer-implemented method of claim 1 , wherein the electric vehicle is an autonomous electric vehicle, and the one or more processors determine a route for the autonomous electric vehicle and the autonomous electric vehicle automatically travels to the one of the residential buildings for the charging.
15. A computer system configured to arrange charging of a battery of an electric vehicle, the computer system comprising one or more processors configured to:
determine a plurality of charging locations in residential buildings which are capable of charging electric vehicles;
determine time constraints or availability of the plurality of charging locations based at least upon occupancy data that indicates when at least one owner of at least one of the plurality of the charging locations in the residential buildings will be occupying at least one residential building associated with the at least one of the plurality of the charging locations;
schedule a rendezvous or appointment during which the electric vehicle will be charged at one of the residential buildings based upon the time constraints or availability of the plurality of charging locations and the occupancy data; and
notify an operator of the electric vehicle of the scheduled rendezvous or appointment to charge the battery of the electric vehicle at the one of the residential buildings during the rendezvous or appointment that is scheduled, wherein the one of the residential buildings is one or more of the following: an apartment complex, a condominium, or a single-family housing.
16. The computer system of claim 15 , wherein the one or more processors are further configured to collect and analyze, by a mobile device associated with the electric vehicle, vehicle telematics data.
17. The computer system of claim 16 , wherein the vehicle telematics data includes one or more of: acceleration, braking, cornering, speed, direction, route, GPS location, and a state of charge (SOC) of the electric vehicle.
18. The computer system of claim 15 , wherein the plurality of charging locations in residential buildings are determined based upon a percentage of a state of charge (SOC) remaining in the electric vehicle.
19. The computer system of claim 15 , wherein the plurality of charging locations in residential buildings are determined based upon a determined distance that the electric vehicle is capable of traveling based upon a state of charge (SOC) remaining in the electric vehicle.
20. The computer system of claim 15 , wherein the one or more processors are further configured to:
for each of the plurality of charging locations in residential buildings, determine, via the one or more processors, a frequency at which other vehicles have previously used the charging location for charging,
wherein the one of the residential buildings at which the rendezvous or appointment is scheduled is determined further based upon the determined frequency for charging of the charging locations.