Abstract: A vehicle comprising includes a traction battery and a controller. The controller, responsive to an interval exceeding a predefined threshold and a predicted net loss in energy, charges the traction battery such that the traction battery acquires energy in an amount at least equal to the predicted net loss in energy. The interval defines a confidence level that a predicted net change in energy stored by the traction battery will occur as a result of use of the vehicle between a current charge location of the vehicle and a next charge location of the vehicle. The amount is based on the interval such that the amount increases as the interval decreases.

Abstract: A system and method for controlling charging of multiple electric vehicles (EVs) arriving at, and departing from, different charging stations at different times, includes scheduling charging of each EV of the multiple EVs responsive to which one of a plurality of categories each EV is assigned, each EV being assigned to one of the categories according to an arrival time at an associated one of the different charging stations, a departure time from the associated one of the different charging stations, an initial state of charge (SoC) of the EV, and a target SoC of the EV, and controlling charging of each EV responsive to the scheduling of charging for the assigned category of each EV. Charging demand may be selected by each EV as being reliable or flexible with flexible charging demand having a minimum target SoC and maximum target SoC.

Abstract: One or more controllers may, responsive to a request from a first vehicle to receive a predefined amount of charge power by a specified time, query the first vehicle regarding whether the first vehicle will accept an amount of charge power less than the predefined amount by the specified time, and command a grid and a local controller to each supply charge power to the first vehicle such that the first vehicle receives the amount of charge power less than the predefined amount by the specified time.

Abstract: The disclosure describes systems and methods that are configured to measure and generate parking environment data including locations of parking spaces and their occupancy status, and to use the parking environment data to find an unoccupied parking space for a vehicle. In particular, a system is configured to determine the location and occupancy status of parking spaces based on parking environment data received from a vehicle, and to determine a location of an unoccupied parking space based on a database of parking environment data.

Abstract: A fleet charging method and system include a plurality of chargers and a controller programmed to predict charge demand for fleet vehicles over a predetermined time interval and generate a charging strategy for the predetermined time interval including selecting at least one of a plurality of power sources for the plurality of chargers from at least a utility grid and a subset of fleet vehicles having stored charge capacity exceeding an associated threshold in response to: a predicted power factor of the utility grid during the predetermined time interval; meeting the predicted charge demand for the fleet vehicles; and minimizing a total energy expense for meeting the predicted charge demand.

Abstract: A controller may, after receiving indication that an electric utility provider will reduce power supplied during an upcoming period of time, increase a cost of charge energy for vehicles that charge at a rate at least equal to a threshold rate during the upcoming period of time. The controller may also decrease the cost of charge energy for vehicles that avoid charging or charge at a rate less than the threshold rate during the upcoming period of time.

Abstract: The disclosure describes systems and methods that are configured to measure and generate parking environment data including locations of parking spaces and their occupancy status, and to use the parking environment data to find an unoccupied parking space for a vehicle. In particular, a system is configured to determine the location and occupancy status of parking spaces based on parking environment data received from a vehicle, and to determine a location of an unoccupied parking space based on a database of parking environment data.

Abstract: A vehicle includes a controller that sends a charge request defining a charge location to a charge donor vehicle for vehicle-to-vehicle charging, responsive to not detecting a charge cable that satisfies the charge request in the vehicle and the charge donor vehicle, sends a borrow request including the charge location to a charge cable donor vehicle, and responsive to confirmation from the charge donor vehicle and charge cable donor vehicle, directs the vehicle to drive to the charge location.

Abstract: A vehicle charging system includes a vehicle propelled by an electric machine powered by a chargeable energy storage system. The charging system also includes a controller programmed to predict at least one upcoming plug-in event based on historical charging data, and define a plug-in routine based on a plurality of upcoming plug-in events. The controller is also programmed to set a charging schedule to coincide with the plug-in routine such that a target state of charge (SOC) is achieved at a conclusion of each of the plurality of upcoming plug-in events. Each target SOC corresponding to a plug-in event is based on minimizing a charging energy cost of the plug-in routine and an expected energy depletion ahead of a next subsequent plug-in event.

Abstract: A controller may, after receiving indication that an electric utility provider will reduce power supplied during an upcoming period of time, increase a cost of charge energy for vehicles that charge at a rate at least equal to a threshold rate during the upcoming period of time. The controller may also decrease the cost of charge energy for vehicles that avoid charging or charge at a rate less than the threshold rate during the upcoming period of time.

Abstract: A vehicle includes a controller that sends a charge request defining a charge location to a charge donor vehicle for vehicle-to-vehicle charging, responsive to not detecting a charge cable that satisfies the charge request in the vehicle and the charge donor vehicle, sends a borrow request including the charge location to a charge cable donor vehicle, and responsive to confirmation from the charge donor vehicle and charge cable donor vehicle, directs the vehicle to drive to the charge location.

Abstract: Approaches for predicting parameters contributing to engine emissions are described. In an example, the values of control parameters may be obtained from the vehicle sensors. Based on the obtained values of the control parameters, estimated emission value may be determined pertaining to a correlation criterion reflecting a predetermined relationship between the obtained control parameter and engine emission. Further, the contribution index of each of the individual control parameters may be identified. Further, based on the estimated emission value and the contribution index, aggregated emission value corresponding to the exhausted emission from the engine for particular trip may be calculated.

Abstract: A vehicle comprising includes a traction battery and a controller. The controller, responsive to an interval exceeding a predefined threshold and a predicted net loss in energy, charges the traction battery such that the traction battery acquires energy in an amount at least equal to the predicted net loss in energy. The interval defines a confidence level that a predicted net change in energy stored by the traction battery will occur as a result of use of the vehicle between a current charge location of the vehicle and a next charge location of the vehicle. The amount is based on the interval such that the amount increases as the interval decreases.

Abstract: A vehicle charging system includes a vehicle propelled by an electric machine powered by a chargeable energy storage system. The charging system also includes a controller programmed to predict at least one upcoming plug-in event based on historical charging data, and define a plug-in routine based on a plurality of upcoming plug-in events. The controller is also programmed to set a charging schedule to coincide with the plug-in routine such that a target state of charge (SOC) is achieved at a conclusion of each of the plurality of upcoming plug-in events. Each target SOC corresponding to a plug-in event is based on minimizing a charging energy cost of the plug-in routine and an expected energy depletion ahead of a next subsequent plug-in event.

Abstract: Approaches for predicting parameters contributing to engine emissions are described. In an example, the values of control parameters may be obtained from the vehicle sensors. Based on the obtained values of the control parameters, estimated emission value may be determined pertaining to a correlation criterion reflecting a predetermined relationship between the obtained control parameter and engine emission. Further, the contribution index of each of the individual control parameters may be identified. Further, based on the estimated emission value and the contribution index, aggregated emission value corresponding to the exhausted emission from the engine for particular trip may be calculated.