A charging station assembly capable of generating and delivering a conditioned airflow while charging a battery of a vehicle. The temperature and flow rate of this conditioned airflow may be controlled based on the ambient conditions and battery status. The conditioned airflow may be directed toward an outside heat exchanger of a refrigerant system of the vehicle to enhance capacity. The conditioned airflow may also be routed to a battery pack for direct cooling or heating through additional ventilation system. In hot ambient conditions, the charging station provides cool air to facilitate battery cooling. In cold ambient conditions, the charging station provides hot air to facilitate battery heating. This charging station assembly shifts the load from the vehicle refrigerant system to the charging system, thereby improving battery thermal management capability, while eliminating the need for an oversized refrigerant system.

The invention relates to a feedback current control device and aerial equipment. The feedback current control device includes: a feedback current capture module, located on a current capture circuit and configured to capture a feedback current; a first switch module, configured to turn on or off the current capture circuit; and a control module, including: a first receiving unit, configured to receive a first voltage at one end of the driver and a second voltage at one end of a battery on a feed circuit and a temperature of the battery; and a first control unit, configured to control the first switch module to turn on the current capture circuit for capturing the feedback current when the difference between the first voltage and the second voltage is greater than a preset voltage and the temperature of the battery is less than or equal to a preset temperature.

A computer-implemented method for increasing safety during charging of a vehicle battery of a vehicle by a charging station, the method comprising the steps of calculating a forecast value for a maximum safe charging current by the controller of the vehicle based on sensor data generated by sensors of the vehicle and adjusting the charging current provided by the charging station in response to the forecast value of a maximum safe charging current.

A method and apparatus (100) are provided for charging a vehicle battery (108). The apparatus (100) includes a controller (102) designed to influence a charging process of the vehicle battery (108). The apparatus (100) further has a switching device (104) to transmit a signal to the controller (102) in response to operation of the switching device (104) by a user. The controller (102) is designed to influence the vehicle battery (108) before the charging process in response to receiving the signal depending on at least one desired state for the charging process.

A method and apparatus (100) are provided for charging a vehicle battery (108). The apparatus (100) includes a controller (102) designed to influence a charging process of the vehicle battery (108). The apparatus (100) further has a switching device (104) to transmit a signal to the controller (102) in response to operation of the switching device (104) by a user. The controller (102) is designed to influence the vehicle battery (108) before the charging process in response to receiving the signal depending on at least one desired state for the charging process.

A vehicle includes a refrigerant system having a chiller and a coolant system having a chiller loop and a radiator loop. The chiller loop is arranged to circulate coolant through the chiller, and the radiator loop is arranged to circulate coolant through a battery, a radiator, and a bypass valve connected to a bypass conduit. A controller is configured to, in response to an ambient-air temperature exceeding a battery-coolant temperature, actuate the valve to circulate coolant to the bypass conduit to skip the radiator.

Provided are systems and methods for facilitating a user to configure and retrieve personalized settings for an information panel in a driving apparatus. The information panel system may be configured to store a plurality information panel configurations. Different information panel configurations may correspond to different users of the driving apparatus. Users may be identified when inside the driving apparatus by capturing their biometric information. Following identification, an information panel configuration corresponding to the identified user may be retrieved and configured on a display device. The displayed information panel configuration may include an arrangement of display items. The display items may have been previously selected by the identified user, and the selection may have included choosing an information panel template with one or more partitioned areas and selecting one or more display items to place in different partitioned areas.

A device for displaying a distance to empty of an electric vehicle is provided. The device includes a detector configured to detect state information of the vehicle and a controller configured to estimate a weight of the vehicle based on the state information of the vehicle and determine whether to update the distance to empty based on the estimated weight.

A device for displaying a distance to empty of an electric vehicle is provided. The device includes a detector configured to detect state information of the vehicle and a controller configured to estimate a weight of the vehicle based on the state information of the vehicle and determine whether to update the distance to empty based on the estimated weight.

An electric vehicle thermal management system and method utilizing power demand models for both propulsion and auxiliary systems, and an intelligent thermal load management module. A navigation unit formulates potential routes to a destination that is either set by a driver or predicted by a drive cycle prediction module. The routes are used to inform the propulsion power demand model, while historical driving patterns based on GPS data and time-dependent climate inputs inform the auxiliary power demand model. The expected power demands for the individual systems and overall combined system are accounted for in calculations performed by optimization algorithms in an intelligent thermal load management module. The calculations produce desired temperature setpoints which send heating and cooling requests to refrigerant and coolant fluid handlers and subsequent actuators that control the refrigerant and coolant fluid loops.