An apparatus for pre-conditioning a vehicle comprises a battery in the vehicle configured to store and supply electric power; a wireless power receiver configured to wirelessly receive electric power from an external power supply device; a power controller configured to transfer the electric power received at the wireless power receiver to the battery and to control charging and discharging of the battery; and a pre-conditioner connected to the battery and configured to pre-condition a device which needs to be operated before the vehicle is operated by using off-board energy of the battery.

The invention relates to a method and to a system for operating a fuel cell system (22) and at least one sub-system (30) of the fuel cell system (22). According to the invention, these are arranged in a vehicle (10), wherein the energy for a drive train (12) of the vehicle (10) can be drawn both from the fuel cell system (22) and from an alternative energy store (26). The method comprises the following method steps: first, the number and duration of shut-down and/or stop phases of the vehicles (10) in a defined time interval in a first vehicle state (86) or in a second vehicle state (88) is determined based on vehicle state-specific learning functions (90, 112). Operating parameters of the fuel cell system (22) and of the at least one sub-system (30) of the fuel cell system (22) are then adjusted in dependence on the determined number and duration of shut-down and/or stop phases of the vehicle (10).

Provided are a deterioration information acquisition unit that acquires deterioration information indicating a deterioration state of each of a plurality of storage batteries, a temperature condition determination unit that determines a temperature condition allowable at the start of charging or during charging for each of the plurality of storage batteries in accordance with the deterioration information acquired by the deterioration information acquisition unit, a temperature information acquisition unit that acquires temperature information indicating the temperature of each of the plurality of storage batteries, and a charge target extraction unit that extracts a storage battery to be charged from the storage batteries among the plurality of storage batteries in which the temperature indicated by the temperature information acquired by the temperature information acquisition unit satisfies the temperature condition determined by the temperature condition determination unit.

The disclosure includes a system and method for providing charging services to mobile client devices. The system includes a processor and a memory storing instructions that, when executed, cause the system to: receive demand response event data associated with a geographic region; determine a last-mile distribution network that includes a first endpoint in the geographic region, the first endpoint associated with a mobile client device; estimate one or more last-mile power usage factors describing power usage of a set of endpoints in the last-mile distribution network, the set of endpoints including the first endpoint associated with the mobile client device; and determine a charge schedule for the mobile client device based on the demand response event data and the one or more last-mile power usage factors.

A battery voltage control device includes a step-up module that steps up a voltage of a battery and applies the voltage to a driving motor, an image analysis processing module that acquires and analyzes a piece of image information of an outside of a vehicle that is obtained through imaging, and driving state forecast module that forecasts a driving state including starting or stopping of the vehicle based on a piece of environment information of the outside of the vehicle that is obtained through analysis of the piece of image information and controls step-up by the step-up module based on the forecast driving state.

The present application discloses a thermal management method for a battery pack. The method includes: under a condition that an electric vehicle is in a stationary state, obtaining a power-on time of the battery pack in the electric vehicle; under a condition of determining that the battery pack has a thermal management demand, determining a target temperature of the battery pack according to a connection state of a charging interface of the electric vehicle and a charging device; determining a thermal management starting time of the battery pack based on the target temperature of the battery pack and the power-on time; and under a condition that the thermal management starting time arrives, performing thermal management on the battery pack so that a temperature of the battery pack reaches the target temperature before the power-on time arrives.

A vehicle charge station includes at least a first and second interface coupled with a power converter and a controller. The controller is configured to, in response to detecting a BEV classified vehicle coupled with the power converter via the first interface while flowing a charge current to a PHEV classified vehicle via the second interface, redirect the charge current from the second interface to the first interface. Also, a method of controlling a charge station includes receiving first vehicle data from a first vehicle connected to a first interface and transferring power to the first interface. The method then receives second vehicle data from a second vehicle connected to a second interface, and in response to a comparison of the first vehicle data and second vehicle data indicating higher priority for the second vehicle, redirecting power from the first interface to the second interface.

A method for predicting remaining charging time, including: obtaining a current state of charge; determining a reference remaining time and a delay time according to the current state of charge; and determining a current remaining charging time according to the reference remaining time and the delay time.

A computer-implemented method for scheduling pre-departure charging for electric vehicles includes predicting a user-departure time based on a first machine learning prediction model. The method further includes determining a cabin temperature to be set for the user at the user-departure time based on a second machine learning prediction model. The method further includes determining a battery-temperature to be set at the user-departure time based on a third machine learning prediction model. The method further includes determining a present charge level of a battery of the electric vehicle. The method further includes computing a charging start-time to start charging the battery based on one or more attributes of a charging station to which the electric vehicle is coupled, and based on the user-departure time, the cabin temperature, and the battery-temperature. The method further includes initiating charging the battery at the charging start-time.

A charge system for a vehicle includes a traction battery and a controller. The controller, responsive to passage of a predetermined period of time following activation of the vehicle without detecting a wake up signal, sets a diagnostic flag. The controller further, responsive to deactivation of the vehicle, presence of the diagnostic flag, and presence of a request designating a future start time for a charge event of the traction battery, initiates the charge event regardless of the future start time. The controller may further, responsive to deactivation of the vehicle, absence of the diagnostic flag, and presence of the request designating the future start time for the charge event of the traction battery, inhibit start of the charge event until the future start time.