Patent classifications
Y02T10/70
WIRELESS POWER RECEIVER DESIGN FOR DRONES
A wireless power receiver coil is attached to a landing gear of a drone. The wireless power receiver coil is closer to the drone when the landing gear is in a retracted position and farther away from the drone when the landing gear is in an extended position. A length of the wireless power receiver coil may be the same length when the landing gear is in the retracted position and in the extended position. The wireless power receiver coil may be in a first orientation when the landing gear is in the retracted position and the wireless power receiver coil may be in a different orientation when the landing gear is in the extended position. The wireless power receiver coil may have a first shape when the landing gear is in the retracted position and may have a second shape when the landing gear is in the extended position.
ELECTRIC VEHICLE WITH SOLID AXLE AND HUB MOTORS
An electrified vehicle axle includes a first wheel assembly having a first electric machine configured to power a first wheel and a second wheel assembly having a second electric machine configured to power a second wheel. A beam has a first end connected to the first wheel assembly and second end connected to the second wheel assembly. An axle shaft is supported for rotation within a hollow center of the beam and is configured to transfer torque between the first and second electric machines. At least one clutch selectively couples at least one of the electric machines to the axle shaft.
POWER SUPPLY CONNECTION FOR ARRANGEMENT IN THE REGION OF AN OUTER CONTOUR OF AN ELECTRIC VEHICLE, AND ELECTRIC VEHICLE
A power supply connection for arrangement in the region of an outer contour of a motor vehicle, in particular of an electric vehicle, having a power supply opening associated with a housing mounted on the vehicle in a ready-to-operate functional state. The power supply opening can be closed by a closing cover mounted movably on the vehicle between an open position and a closed position and actuated by an electrically activatable control device coupled to a capacitive sensor system in order to allow the closing cover to be opened and/or closed depending on a gesture control operation by a person in the region of the power supply opening. The closing cover is of an electrically conductive design and is electrically coupled to the capacitive sensor system.
ASSISTED PARKING OF ELECTRICAL VEHICLE AT CHARGING STATION
A vehicle includes a charging port for connection to a charging cable capable of delivering electricity to the vehicle, and an ultra-wide band (UWB) transceiver module. The UWB transceiver module includes a master node and at least three antenna nodes. The at least three antenna nodes are deployed at correspondingly diverse locations in the vehicle at fixed distances from the charging port. The master node is configured to determine a position of an UWB antenna or tag external to the vehicle relative to the locations of the at least three antenna nodes and the charging port.
MOBILE ELECTRIC VEHICLE CHARGING SYSTEM
A mobile electric vehicle charging system may include a fuel cell configured to generate electric power required to drive a vehicle, a main battery configured to store electric power generated by the fuel cell, a bidirectional power converter configured to control electric power input to and output from the main battery, a mobile charger configured to supply electric power to charge another vehicle, and a high-voltage junction box for divergence, configured to distribute electric power generated by the fuel cell to the bidirectional power converter and the mobile charger.
AUTOMATIC PREDICTION OF VISITATIONS TO SPECIFIED POINTS OF INTEREST
Techniques are described herein for predicting popularity metrics and/or visitation metrics that are used in the selection of a point of interest (POI) for placement of an electric vehicle charging station (EVCS). The techniques involve training a machine learning model based on information obtained about POIs at which EVCSs are already installed. The information used to train the machine learning model includes, for each existing installation location: (a) visitation data that describes visitation features, and (b) popularity metrics and/or visitation metrics that have been generated for the location. When the machine learning model has been trained, the trained machine learning model predicts popularity metrics and/or visitation metrics for a POI location at which no EVCS has been installed based on the visitation data of that POI.
Thermal Management System for a Vehicle
A thermal management system is provided for a vehicle that includes a traction battery. The thermal management system includes refrigerant and cooling subsystems. The cooling subsystem includes a cabin coolant loop that provides thermal management of a passenger cabin of the vehicle, a battery coolant loop that provides thermal management of the traction battery and a drivetrain coolant loop that provides thermal management of a drivetrain and power electronics of the vehicle. The cabin, battery and the drivetrain coolant loops are interconnected via coolant proportional valves and fluid lines.
CHARGING CABINET, BATTERY PACK, AND CHARGING SYSTEM
A charging cabinet includes a power conversion circuit, an input interface, and a plurality of output interfaces. An input end of the power conversion circuit is connected to the input interface. The power conversion circuit converts an alternating current supplied by an alternating current power grid into a direct current, and then charges a plurality of battery packs by using the direct current.
ELECTRIC VEHICLE DISTRIBUTED ENERGY RESOURCE MANAGEMENT
A method and system for managing electric vehicle (EV) distributed energy resource(s) (DER) are disclosed. A DER analytics engine may receive electricity consumption data of a plurality of sites from corresponding electricity meters of the plurality of sites, detect EV charging information based at least in part on the electricity consumption data, obtain EV telematics data of EVs associated with the EV charging information, reconcile the EV charging information and the EV telematics data, and generate, based on the reconciled EV charging information and the EV telematics data, models for at least one of continuous EV load prediction, electrical vehicle supply equipment (EVSE detection), and/or optimization for at least one of aggregated load, load per feeder, or maximum revenue for time-of-use tiers.
Vehicle Body Structure for an Electric Vehicle
An embodiment vehicle body for an electric vehicle includes a fender apron upper part and an A pillar part positioned at a rear portion of the fender apron upper part, wherein a first load path is formed in a length direction of the vehicle body on an upper part of the fender apron upper part, wherein a second load path is formed in a vertical direction of the vehicle body along a connection portion of the fender apron upper part and the A pillar part, wherein a third load path connecting the first load path and the second load path is obliquely formed in a lower part of the fender apron upper part, and wherein a charging hole is formed between the first, second, and third load paths.