Abstract: A hierarchical system increases the utilization of a fleet of Battery Electric Buses (BEBs) by optimally assigning work to and providing charging strategies for the BEBs. The system includes a digital twin platform for generating behavior models for the electric vehicles, charging stations for the electric vehicles, or both; an assignment and strategy module for optimally assigning blocks and determining optimal charging strategies for the electric vehicles; and a depot parking and management module for parking and charging the electric vehicles according to optimal charging strategies. In some embodiments, the behavior models can be adjusted in real time in response to the occurrences of events.

Abstract: A hierarchical system increases the utilization of a fleet of Battery Electric Buses (BEBs) by optimally assigning work to and providing charging strategies for the BEBs. The system includes a digital twin platform for generating behavior models for the electric vehicles, charging stations for the electric vehicles, or both; an assignment and strategy module for optimally assigning blocks and determining optimal charging strategies for the electric vehicles; and a depot parking and management module for parking and charging the electric vehicles according to optimal charging strategies. In some embodiments, the behavior models can be adjusted in real time in response to the occurrences of events.

Abstract: Systems, apparatus and methods for controlling a plug-in hybrid electric vehicles (PHEVs) to improve energy utilization based on vehicle-to-internet cloud (V2C) connectivity. An automated driving system is trained for predicting vehicle motion trajectories based on historical vehicle and environmental trip data. An automated powertrain control system is trained to provide a parametric approximation of long-term energy cost about the remainder of a given vehicle trip. During the trip the automated driving system plans estimated trajectories based on forecasts of power allocation, while the powertrain control system forecasts and controls the fuel burning engine, electric drive motor(s), and powertrain mode, to minimize energy-wasteful motion trajectories.