Systems and methods are provided for dynamically selecting a control policy from among several available control policies for controlling an electric vehicle fleet charging system. A control policy may take into account fluctuating local renewable generation and/or time of use electricity pricing. The performance of the selected control policy is monitored and a different control policy may be deployed in its place if the different control policy has a higher chance of providing better performance given the current control environment. Thus, as the control environment changes, the control policy that controls the power system may also be changed in an adaptive manner. In this way, the control policies may be changed as the control environment changes to provide an improved real-time performance compared to the use of a single control policy.

a system for estimating a vehicle battery charging time using big data is provided. The system may include a big-data server configured to collect a charge-related parameter of a battery in a vehicle from a plurality of vehicles, to group the plurality of vehicles into a plurality of groups based on the collected charge-related parameter, and to calculate and transmit a first estimated charging time of a group to which the vehicle belongs during vehicle charging, and a controller installed in each of the plurality of vehicles, and configured to calculate a second estimated charging time based on a state of the battery in the vehicle while the corresponding battery in the vehicle is charged and to calculate a final estimated charging time of the battery by combining the first estimated charging time and the second estimated charging time.

A server for a charge-discharge system includes a controller. The controller is configured to communicate with a plurality of registered vehicles each equipped with a chargeable-dischargeable battery. The controller is configured to acquire information on a scheduled start time of a next travel of each of the registered vehicles. The controller is configured to acquire electric power information. The controller is configured to determine, based on the scheduled travel start time and the electric power information, a target vehicle of which the battery is to be charged or discharged from among the registered vehicles that are at least parked. The controller is configured to send to the target vehicle either a charge command that orders the battery of the target vehicle to be charged or a discharge command that orders the battery of the target vehicle to be discharged.

A vehicle includes an electric-device temperature acquisition unit, a charging controller, and a predicted charging time deriving unit. The electric-device temperature acquisition unit acquires a temperature of an electric device disposed in a current path for external charging for supplying electric power from a power supply external to the vehicle to a battery mounted in the vehicle. The charging controller pauses a supply of electric power to the battery in response to the temperature of the electric device becoming greater than or equal to a first threshold during the external charging, and resumes the supply of electric power to the battery in response to the temperature of the electric device becoming less than a second threshold lower than the first threshold. The predicted charging time deriving unit derives a predicted charging time predicted to be taken for the external charging in accordance with an instruction for the external charging.

Systems and methods for charging electric vehicles and for quantitative and qualitative load balancing of electrical demand are provided.

A method of controlling a range extender of an electric vehicle comprises using actual measured or modelled pollution levels dynamically to set a target state of charge level for a range extender of an electric vehicle at a particular location.

A system, method and computer program product for preparing a vehicle for a planned mission. The method includes determining an energy consumption for at least one part of the planned mission of at least a first energy consuming vehicle component and determining a mission preparation activity of the at least first energy consuming vehicle component, wherein the mission preparation activity utilizes an electrical connection between a vehicle onboard electric power system and an external energy source, wherein the at least first energy consuming vehicle component is connected to the vehicle onboard electric power system.

A system, method and computer program product for controlling energy consumption in a vehicle during driving of a route. The method includes determining an energy consumption strategy for the route, wherein the energy consumption strategy includes a total energy budget for a plurality of energy consuming vehicle components; determining a value of an actual consumed total energy at at least a first route position along the route; determining a difference value based on a difference in the actual consumed total energy value and a predicted consumed total energy value; and determining an altered operation of at least one of the plurality of energy consuming vehicle components.

A charging system for electric vehicles that includes a plurality of charging stations each adapted to exchange electrical power with at least one electric vehicle. At least one charging profile determination module adapted to: obtain a charging station identifier associated with a first charging station of the plurality of charging stations and a user identifier associated with a user of an electric vehicle to be charged at the first charging station during a charging process. Determining based on the obtained user identifier and the obtained charging station identifier, at least one historical charging process data set relating to the user identifier and the charging station identifier. Estimating at least one charging parameter for the charging process based on the at least one historical charging process data set, and determining the charging curve profile for the charging process based on at least the at least one estimated charging parameter.

A server for a charge-discharge system includes a controller. The controller is configured to communicate with a plurality of registered vehicles each equipped with a chargeable-dischargeable battery. The controller is configured to acquire information on a scheduled start time of a next travel of each of the registered vehicles. The controller is configured to acquire electric power information. The controller is configured to determine, based on the scheduled travel start time and the electric power information, a target vehicle of which the battery is to be charged or discharged from among the registered vehicles that are at least parked. The controller is configured to send to the target vehicle either a charge command that orders the battery of the target vehicle to be charged or a discharge command that orders the battery of the target vehicle to be discharged.