Abstract:
An apparatus includes a logistics manager that includes a processor. The logistics manager is communicably coupled to at least one of a first wireless communication module onboard a first vehicle and a second wireless communication module onboard a second vehicle. The logistics manager is configured to: receive, via the first wireless communication module, first data regarding the first vehicle, where the first data is provided by a first sensor module onboard the first vehicle; receive, via the second wireless communication module, second data regarding the second vehicle, where the second data is provided by a second sensor module onboard the second vehicle; and provide navigational commands to at least one of the first vehicle and the second vehicle based on a cost and benefit analysis in response to at least one the first data and the second data.
Abstract:
A system is provided for performing an automated power charging process for one or more electric vehicles using a processor. Included in the processor is a charge controller that calculates a capacity of a power grid system by communicating with the power grid system via a network, and a power demand level of the one or more electric vehicles to satisfy one or more mission requirements of each electric vehicle. The power demand level of the one or more electric vehicles is compared with the capacity of the power grid system. In response to the comparison, at least one charging mode is selected from an override mode and an internal combustion engine mode for performing the automated power charging process. The charge controller automatically charges the one or more electric vehicles based on the selected at least one charging mode.
Abstract:
A system is provided for performing an automated power charging process for one or more electric vehicles using a processor. Included in the processor is a charge controller that calculates a capacity of a power grid system by communicating with the power grid system via a network, and a power demand level of the one or more electric vehicles to satisfy one or more mission requirements of each electric vehicle. The power demand level of the one or more electric vehicles is compared with the capacity of the power grid system. In response to the comparison, at least one charging mode is selected from an override mode and an internal combustion engine mode for performing the automated power charging process. The charge controller automatically charges the one or more electric vehicles based on the selected at least one charging mode.
Abstract:
Methods and systems for improving fuel economy and reducing emissions of a vehicle with an electric motor, an engine, an energy storage device, and a controller are disclosed. The method includes obtaining current state information including a current hybrid control surface, and determining a target hybrid control surface for the vehicle based on the current state information.
Abstract:
A system for charging electric vehicles is disclosed, comprising: vehicle chargers coupled to an electric power grid; and a controller in communication with the chargers and vehicles and configured to execute software to cause the controller to: determine characteristics of each vehicle, the characteristics including a charge capacity of a battery system of each vehicle and a mission schedule; determine characteristics of each charger, the characteristics including a type of each charger and a charging capacity; process the characteristics of each vehicle and each charger to identify charging opportunities for each vehicle over the course of a time period; and perform a peak power optimization analysis to generate a vehicle charging profile configured to activate a minimum number of chargers simultaneously and to minimize downtimes of the plurality of chargers to thereby distribute the power demand from the electric power grid and result in an initial peak power demand.
Abstract:
A method for operating one or more processors to control access of a plurality of pieces of rechargeable electrical equipment, optionally including one or more electric vehicles, to one or more charging resources. An access queue is maintained for each of the charging resources. Each piece of equipment is assigned a position in an access queue when it is determined to have a state of charge (SOC) less than the first level. Each access queue is updated based on charger information such as its availability. A piece of equipment is assigned access to a charging resource when its queue position reaches a first priority position and a charging resource is available. For each piece of equipment assigned access to a charging resource, an instruction to end access to the charging resource is issued when an elapsed charging time period is equal to or greater than a break time or the SOC is greater than a second level representative of an operational charge.
Abstract:
One embodiment is a method of operating an electronic control system (ECS) to control an engine to propel a vehicle. The method comprises receiving a throttle command, determining an operation to increase engine cycle efficiency by reducing engine torque below a magnitude corresponding to the throttle command and below a torque curve limit over a first vehicle operation segment and permitting an increase in engine torque above the torque curve limit over a second vehicle operation segment, controlling the engine to output torque below the magnitude corresponding to the throttle command and below the torque curve limit over the first vehicle operation segment, and controlling the engine to output torque above the torque curve limit over the second vehicle operation segment in response to a second received throttle command and constrained by an extended limit on operation of the engine above the torque curve limit.
Abstract:
A system is provided for performing an automated power charging process for one or more electric vehicles using a processor. Included in the processor is a charge controller that calculates a capacity of a power grid system by communicating with the power grid system via a network, and a power demand level of the one or more electric vehicles to satisfy one or more mission requirements of each electric vehicle. The power demand level of the one or more electric vehicles is compared with the capacity of the power grid system. In response to the comparison, at least one charging mode is selected from an override mode and an internal combustion engine mode for performing the automated power charging process. The charge controller automatically charges the one or more electric vehicles based on the selected at least one charging mode.
Abstract:
A control system, apparatus, and method integrates vehicle speed management and predicted gear shifting of a vehicle by determining current and future engine power requirements from the current and forward-looking route conditions to improve performance, drivability, and/or fuel economy of the vehicle over what is achievable through conventional gear state selection via static calibration tables and conventional shifting strategies. The selection of the vehicle reference speed is responsive to a gear selection to provide increased fuel economy, decreased trip time or combinations thereof.
Abstract:
A method of route planning for an electric vehicle includes obtaining waypoint data that indicates waypoint locations for the electric vehicle. The method also includes generating a map and a plurality of route segments to connect each of the waypoint locations on the map. Further, the method includes calculating an optimal route for the electric vehicle to visit each of the waypoint locations by evaluating the plurality of route segments. In response to detecting changes occurring in conditions associated with each of the plurality of route segments, the method includes recalculating the optimal route for the electric vehicle.