An autonomous base station for unmanned aerial vehicles (‘UAVs’) is disclosed, which includes a landing surface for a UAV, configured with at least one power transfer bus for supplying power to a power source of a UAV thereon. The base station further includes a networking module and data processing means operably connected to, and configured to control, the power transfer bus and the networking module. The data processing means is operably connected to the UAV through the networking module, and further configured to receive, store and process data from the UAV or another. The base station further includes a power supply operably connected to the or each power transfer bus, the or each networking module and the data processing means. A network of at least two such base stations is also disclosed, for sensing, modelling and monitoring an environment with UAVs.

The method includes: when the vehicle satisfies a one-pedal activating condition, controlling the vehicle to enter a one-pedal-function activating mode; when the vehicle enters the one-pedal-function activating mode and satisfies a parking-controlling-function activating condition, acquiring current-vehicle-speed information, road-slope information and a first electric-motor recovering torque; based on the current-vehicle-speed information and the road-slope information, calculating to obtain a parking torque; acquiring a first torque difference between the parking torque and the first electric-motor recovering torque; and performing pressure buildup to the vehicle based on the first torque difference, to control the vehicle to complete a parking operation.

A device for providing charging information for a charging process is configured to determine a total set of N data tuples for N different times of a charging time period for the charging process. A data tuple includes values of one or more characteristic variables relating to electrical energy that can be provided in the charging process. Furthermore, the device is configured to reduce the total set of N data tuples to a reduced set of M data tuples, with M<N, and to provide the reduced set of M data tuples for the determination of a charging plan for the charging process.

A motor control unit, a control system, and a storage medium. The method of the present invention is applied to the motor control unit and comprises: when a vehicle is in a high-voltage power-on state, obtaining a plurality of effective temperature values for the same motor system; determining a corresponding initial temperature value according to each effective temperature value; determining the minimum value among all calculated initial temperature values as an initial environment temperature; when the vehicle is in a driving state and each initial temperature value is less than or equal to respective corresponding threshold, and the current temperature of a motor no longer rises, calculating differences between the current temperature of the motor and the corresponding initial temperature value and between the current temperature of a cooling liquid and the corresponding initial temperature value; calculating a temperature calibrate amount for the environment temperature according to the calculated differences.

A motor driving apparatus of driving a motor including a plurality of windings respectively corresponding to a plurality of phases is disclosed. The motor driving apparatus includes a first inverter including a plurality of first switching elements and connected to a first end of each of the windings, a second inverter including a plurality of second switching elements and connected to a second end of each of the windings, and a controller electrically connected to the first switching elements and the second switching elements and configured to generate limited pole voltage commands for space vector pulse width modulation based on preset voltage commands of the motor and to distribute the limited pole voltage commands to generate first pole voltage commands for switching of the first switching elements and second pole voltage commands for switching of the second switching elements.

Systems and processes described herein can use drive line actuators (DLAs) which can be implemented for one or more individual wheels of an electric vehicle (EV) permitting connection and disconnection of at least a portion of the axle and wheel from the electric motor suppling torque. A disconnected wheel and axle can experience less friction, and have less rotational mass then a wheel and axle that is connected to an electric motor, therefore the disconnecting wheels in which torque is not desired can result in increased efficiency and range in an EV.

A dynamic safe state control circuit is disclosed that controls an electrical motor based on vehicle speed. A microcontroller or other processing device is configured to control an inverter system of an electrical motor. The dynamic safe state control circuit is configured to receive a first signal that corresponds to a speed of the electric motor. The circuit is configured to activate any one of a plurality of safe states in the inverter system based on the first signal and in response to a malfunction in the microcontroller.

An electric assist system usable for an electric assist bicycle includes an electric motor that generates assist power assisting human power of a rider of the electric assist bicycle, a rotation sensor that outputs a signal in accordance with a rotation of a rotatable component that rotates to operate the electric assist bicycle, an acceleration sensor that outputs a signal in accordance with an acceleration of the electric assist bicycle in a traveling direction thereof, and a controller that calculates a speed of the electric assist bicycle based on an output signal of the rotation sensor and an output signal of the acceleration sensor.

In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for implementing torque control using a Neural Network (NN) for a torque prediction model to receive a set of measured vehicle operating inputs associated with torque prediction; substituting a set of multiple independent variables into the torque prediction model so that the NN is then taking the form of a simplified pseudo-NN that contains a reduced variable set of one independent variable; processing, the set of measured vehicle operating inputs by the pseudo-NN based on the NN prediction model by using only one independent variable in a pseudo-NN's simplified mathematical expression; and solving for at least one root of the pseudo-NN's simplified mathematical expression by obtaining a root value without having to rely on an inversion operation of a mathematical expression that consists of an entire set of independent variables.

An electrical power system for a vehicle comprising a base powernet and a primary powernet electrically connected to primary safety critical loads. A switch is disposed between the base powernet and the primary powernet. The switch is configured to transition between a closed state that electrically connects the base powernet to the primary powernet and an open state that disconnects the base powernet from the primary powernet.