Performing actions associated with a connected vehicle
Systems and methods for collecting data from electric vehicles, and performing various different actions based on the collected data, are described. In some embodiments, a device, such as a remote device that communicates with a server, connects with a controller area network (CAN) of an electric vehicle, and collects data from the CAN and/or other types of data associated with the electric vehicle (e.g., geographical information that identifies a location of an electric vehicle, movement information that identifies whether the electric vehicle is in motion or not, and so on). The systems and methods may perform various actions using some or all of the collected data.
1. A method, comprising:
monitoring charge states of multiple electric vehicles within a group of electric vehicles, by:
transmitting, via a device connected to a controller area network of an electric vehicle of the multiple electric vehicles, a request to the controller area network to send a response message that includes information identifying a state of charge of the electric vehicle;
receiving, at the device, a response message from the controller area network that includes information identifying the state of charge of the electric vehicle; and
transferring, from the device to a server, the identified state of charge;
determining an order via which to charge the group of electric vehicles based on the monitored charge states; and
causing the electric vehicles to be charged in the determined order.
2. The method of claim 1 , wherein determining an order via which to charge the group of electric vehicles based on the monitored charge states includes generating an order that is based on a level of charge for battery packs within the electric vehicles.
3. The method of claim 1 , wherein determining an order via which to charge the group of electric vehicles based on the monitored charge states includes generating an order that is based on a level of charge for battery packs within each of the electric vehicles and a time for a predicted next use of each of the electric vehicles.
4. The method of claim 1 , wherein monitoring charge states of multiple electric vehicles within a group of electric vehicles includes monitoring charge states of some or all electric vehicles within a fleet of electric vehicles.
5. The method of claim 1 , wherein monitoring charge states of multiple electric vehicles within a group of electric vehicles includes monitoring charge states of some or all electric vehicles associated with a charging network.
6. A non-transitory computer-readable medium whose contents, when executed by a computing system associated with a fleet of electric vehicles, cause the computing system to perform operations, the operations comprising:
monitoring charge states of multiple electric vehicles within the fleet of electric vehicles, by;
transmitting, via a device connected to a controller area network of an electric vehicle of the multiple electric vehicles, a request to the controller area network to send a response message that includes information identifying a state of charge of the electric vehicle;
receiving, at the device, a response message from the controller area network that includes information identifying the state of charge of the electric vehicle; and
transferring, from the device to a server, the identified state of charge;
determining an order via which to charge the fleet of electric vehicles based on the monitored charge states; and
causing the electric vehicles to be charged in the determined order.
7. The computer-readable medium of claim 6 , wherein determining an order via which to charge the fleet of electric vehicles based on the monitored charge states includes generating an order that is based on a level of charge for battery packs within the electric vehicles.
8. The computer-readable medium of claim 6 , wherein determining an order via which to charge the fleet of electric vehicles based on the monitored charge states includes generating an order that is based on a level of charge for battery packs within each of the electric vehicles and a time for a predicted next use of each of the electric vehicles.
9. The computer-readable medium of claim 6 , wherein monitoring charge states of multiple electric vehicles within the fleet of electric vehicles includes monitoring charge states of all the electric vehicles within the fleet of electric vehicles.
10. A system, comprising:
a device connected to a controller area network of an electric vehicle;
a vehicle state module that monitors charge states of multiple electric vehicles within a group of electric vehicles, by:
transmitting, via the device connected to the controller area network of the electric vehicle of the multiple electric vehicles, a request to the controller area network to send a response message that includes information identifying a state of charge of the electric vehicle;
receiving, at the device, a response message from the controller area network that includes information identifying the state of charge of the electric vehicle; and
transferring, from the device to a server, the identified state of charge;
a scheduling module that determines an order via which to charge the group of electric vehicles based on the monitored charge states; and
a charging module that causes the electric vehicles to be charged in the determined order.
11. The system of claim 10 , wherein the scheduling module generates an order that is based on a level of charge for battery packs within the electric vehicles and a time for a predicted next use of each of the electric vehicles.
12. The system of claim 10 , wherein the device transmits the request to a controller area network bus of the controller area network.
13. The system of claim 10 , wherein the device receives battery power state data that identifies a power level of a battery pack of the electric vehicle.
14. The system of claim 10 , wherein the device receives information that identifies a current charge mode of the electric vehicle.