Vehicle recognition for automatic charge management
Certain aspects of the present disclosure provide techniques electric vehicle charging management. In one example, a method includes: detecting a connection between an electric vehicle supply equipment and an electric vehicle; receiving image data depicting an electric vehicle charging scene; determining one or more candidate vehicles in the image data; for each respective candidate vehicle of the one or more candidate vehicles in the image data, determining one or more vehicle characteristics associated with the respective candidate vehicle; associating one candidate vehicle of the one or more candidate vehicles with the electric vehicle based on one or more vehicle characteristics associated with the one candidate vehicle; determining if a user account is associated with the one candidate vehicle associated with the electric vehicle; and determining a charging authorization decision for the electric vehicle.
1. A method for electric vehicle charging management, comprising:
detecting a connection between an electric vehicle supply equipment (EVSE) and an electric vehicle;
receiving, after detecting the connection between the EVSE and the electric vehicle, image data depicting an electric vehicle charging scene including the electric vehicle connected to the EVSE;
determining one or more candidate vehicles in the image data;
for each respective candidate vehicle of the one or more candidate vehicles in the image data, determining one or more vehicle characteristics associated with the respective candidate vehicle;
associating one candidate vehicle of the one or more candidate vehicles with the electric vehicle connected to the EVSE based on one or more vehicle characteristics associated with the one candidate vehicle;
determining if a user account is associated with the one candidate vehicle associated with the electric vehicle; and
determining a charging authorization decision for the electric vehicle.
2. The method of claim 1 , further comprising requesting the image data after detecting the connection between the EVSE and the electric vehicle.
3. The method of claim 1 , wherein associating the one candidate vehicle of the one or more candidate vehicles with the electric vehicle based on the one or more vehicle characteristics associated with the one candidate vehicle comprises:
determining an EVSE location;
determining an estimated location for each of the one or more candidate vehicles; and
associating the one candidate vehicle that is closest to the EVSE location with the electric vehicle.
4. The method of claim 1 , wherein associating the one candidate vehicle of the one or more candidate vehicles with the electric vehicle based on the one or more vehicle characteristics associated with the one candidate vehicle comprises:
determining an arrival time for the each of the one or more candidate vehicles;
determining an estimated location for each of the one or more candidate vehicles; and
determining a connection time for the EVSE.
5. The method of claim 1 , wherein determining if the user account is associated with the one candidate vehicle associated with the electric vehicle comprises providing the one or more vehicle characteristics associated with the one candidate vehicle to a matching algorithm to determine the user account.
6. The method of claim 5 , wherein the matching algorithm is a fuzzy matching algorithm or a probabilistic matching algorithm.
7. The method of claim 1 , further comprising:
transmitting a confirmation request to a user associated with the user account;
receiving a confirmation from the user;
determining the charge authorization decision based on the received confirmation; and
initiating charging of the electric vehicle.
8. The method of claim 1 , further comprising:
transmitting a confirmation request to a user associated with the user account;
receiving no confirmation from the user; and
denying charging of the electric vehicle.
9. The method of claim 1 , wherein determining the one or more candidate vehicles in the image data is performed by a camera device.
10. The method of claim 1 , wherein the charging authorization decision initiates charging of the electric vehicle.
11. The method of claim 1 , wherein the charging authorization decision denies charging of the electric vehicle.
12. The method of claim 1 , wherein the image data comprises a cropped image smaller than an original image captured by a camera.
13. The method of claim 1 , wherein the image data is generated by a camera integral with the EVSE.
14. The method of claim 1 , wherein the one or more vehicle characteristics comprise one or more of:
a license plate state;
a license plate style;
one or more license plate characters;
a vehicle model;
a vehicle make;
a vehicle color;
a vehicle style;
a vehicle location;
a vehicle arrival time;
an identification graphic; and
a plugged status.
15. The method of claim 1 , wherein the vehicle characteristics comprise a QR code.
16. An apparatus configured for electric vehicle charging management, comprising:
a memory comprising computer-executable instructions;
a processor configured to execute the computer-executable instructions and cause the apparatus to:
detect a connection between an electric vehicle supply equipment (EVSE) and an electric vehicle;
receive, after the detection of the connection between the EVSE and the electric vehicle, image data depicting an electric vehicle charging scene including the electric vehicle connected to the EVSE;
determine one or more candidate vehicles in the image data;
for each respective candidate vehicle of the one or more candidate vehicles in the image data, determine one or more vehicle characteristics associated with the respective candidate vehicle;
associate one candidate vehicle of the one or more candidate vehicles with the electric vehicle connected to the EVSE based on one or more vehicle characteristics associated with the one candidate vehicle;
determine if a user account is associated with the one candidate vehicle associated with the electric vehicle; and
determine a charging authorization decision for the electric vehicle.
17. The apparatus of claim 16 , wherein the processor is further configured to cause the apparatus to request the image data after detecting the connection between the EVSE and the electric vehicle.
18. The apparatus of claim 16 , wherein in order to associate the one candidate vehicle of the one or more candidate vehicles with the electric vehicle based on the one or more vehicle characteristics associated with the one candidate vehicle, the processor is further configured to cause the apparatus to:
determine an EVSE location;
determine an estimated location for each of the one or more candidate vehicles; and
associate the one candidate vehicle that is closest to the EVSE location with the electric vehicle.
19. The apparatus of claim 16 , wherein in order to associate the one candidate vehicle of the one or more candidate vehicles with the electric vehicle based on the one or more vehicle characteristics associated with the one candidate vehicle, the processor is further configured to cause the apparatus to:
determine an arrival time for the each of the one or more candidate vehicles;
determine an estimated location for each of the one or more candidate vehicles; and
determine a connection time for the EVSE.
20. The apparatus of claim 16 , wherein in order to determine if the user account is associated with the one candidate vehicle associated with the electric vehicle, the processor is further configured to cause the apparatus to provide the one or more vehicle characteristics associated with the one candidate vehicle to a matching algorithm to determine the user account.