Energy use aggregation and charge control of a plug-in electric vehicle

A method comprising:

• receiving, via a server, vehicle information from a vehicle telematics unit (VTU) of each of a plurality of vehicles, each of the vehicles having a respective battery pack, the vehicle information including a location of the vehicle, an amount of electrical charging power delivered to the battery packs during an active charging event, and a respective fuel level of at least some of the vehicles;
• receiving a load adjustment request from a remote client device;
• transmitting charging control signals to the VTUs in response to the load adjustment request to thereby cause the VTUs to control the active charging event and at least partially satisfy the load adjustment request;
• determining, as an energy throughput value, the amount of electrical charging power delivered to each of the vehicles over time for a plurality of the active charging events;
• aggregating, via the server, a plurality of the recorded energy throughput values over a calibrated duration or a calibrated number of prior active charging events;
• generating output data, via the server, describing the aggregated energy throughput values;
• and
• prioritizing an order of charging based on the received vehicle information from each of the vehicles, including the respective fuel levels.

A server for a vehicle charging network having a plurality of remote client devices and a plurality of plug-in electric vehicles each having a respective rechargeable battery pack and a respective vehicle telematics unit (VTU), the server comprising:

• a processor;
• memory;
• and
• a transceiver in communication with the VTUs, wherein the server is in communication with the remote client devices and is programmed to:
• receive vehicle information from the VTUs, including a location of each of the vehicles, a fuel level of at least some of the vehicles, and a corresponding state of charge and charging status of each of the battery packs;
• receive a load adjustment request from at least one of the client devices;
• change a setting of a respective charging timer of each of the vehicles remotely via transmission of charging control signals to the VTUs in response to the received load adjustment request to thereby postpone or enable charging of the battery packs;
• determine an energy throughput value at each of a plurality of active charging events using the vehicle information from the VTUs, wherein the energy throughput value defines an amount of charging power delivered to the battery packs during a corresponding one of the active charging events;
• aggregate the determined energy throughput values over a calibrated duration;
• generate output data describing the aggregated energy throughput values;
• and
• prioritize charging of the vehicles using the received vehicle information, including the respective fuel levels.