Abstract: Certain aspects of the present disclosure provide techniques for a method of managing charging of vehicles, comprising: estimating a vehicle return state based on telematics data associated with a vehicle; determining a future charging session for the vehicle based on the vehicle return state and one or more of: a vehicle attribute; a job attribute; and a station attribute; generating a hybrid set of charging sessions by adding the future charging session to a set of one or more current charging sessions; and processing the hybrid set of charging sessions with a charging management algorithm to determine one or more charging session attributes for each charging session in the hybrid set of charging sessions.

Abstract: Certain aspects of the present disclosure provide techniques for system for providing an electric vehicle (EV) computing platform that includes an edge environment located at a site that causes the system to perform actions that include receiving first charge data from the edge gateway in a first communication protocol, receiving second charge data from the edge gateway in a second communication protocol, and converting the first charge data and the second charge data into a common protocol. The actions further including creating a first session entry for the first charge session and a second session entry for the second charge session and solving a charge curve associated with the first charge session and the second charge session to determine a first charge to the first energy asset for usage of the first charging station and a second charge of the second energy asset for usage of the second charging station.

Abstract: Certain aspects of the present disclosure provide techniques for managing a fleet of electric vehicles. An example method includes detecting a trigger event that affects charging characteristics of at least one vehicle in a fleet. The method also includes providing, via an interface, a prompt regarding the trigger event. The method includes presenting, via the interface, decisions to remedy the cause of the triggering event and consequences of the decisions to the charging characteristics of one or more vehicles in the fleet. Additionally, the method includes receiving, via the interface, an input accepting one of the decisions. The method includes providing instructions that affect the operation of at least one charging station based on the accepted decision.

Abstract: Certain aspects of the present disclosure provide techniques for providing edge hardware system for distributed energy resources. One embodiment of a system includes a core device that is deployed in an edge environment of a site, the core device causing the edge hardware system to communicate with a cloud environment to acquire current optimization and load management set points for a charging station, dispatch the current optimization and load management set points through a local communications protocol via a local network to the charging station, and receive data from the charging station through the local network. In some embodiments, the core device causes the hardware system to communicate the data to the cloud environment via a wide area network and control charge and discharge parameters of an energy asset at the charging station using energy-related inputs.

Abstract: Certain aspects of the present disclosure provide techniques for to managing electric vehicle fleets and management of charging infrastructure to support the electrical vehicle fleets. An example method for electric vehicle fleet management includes determining that an electric vehicle is in route to a charging site including a plurality of charging stations. The method also includes assigning a charging task to the electric vehicle and assigning the electric vehicle to one of the plurality of charging stations based on one or more vehicle characteristics, one or more operation targets of the charging task, and one or more characteristics of the plurality of charging stations. The method includes, in response to determining that the electric vehicle has plugged into the assigned charging station, associating the electric vehicle with a charging session and allocating charging power to the assigned charging station.

Abstract: Certain aspects of the present disclosure provide techniques for electric vehicle charging management. In some examples, a method includes detecting a charge session associated with a charging station; generating an encoded identification message that includes an identifier and sending the encoded identification message to the charging station, the encoded identification message configured to cause the vehicle connected to the charging station to alter a battery charging rate based on the identifier; receiving telematics data from the vehicle, the telematics data including the battery charging rate; decoding the identifier from the battery charging rate; and assigning the charge session to an account associated with the vehicle based on the decoded identifier.

Abstract: 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.