A motor control device includes a motor that generates torque corresponding to a current for energizing multi-phase coils, a current sensor that detects a current value of the current for energizing the multi-phase coils, and a controller that obtains a current value of a current flowing through a predetermined coil by adding an origin learning value to a signal input from the current sensor and that controls a current for energizing the predetermined coil based on the current value. The motor control device obtains, each time the origin learning value is changed by a predetermined value, an amplitude of a predetermined order in a q-axis current of the motor based on the changed origin learning value and the signal input from the current sensor, and performs correction based on the origin learning value at the time when the amplitude switches from a decreasing tendency to an increasing tendency.

A self-stabilizing, one-wheeled electric skateboard may include improved features. In some examples, the vehicle includes a status indicator viewable through a slot formed in an upper surface of the board. In some examples, the vehicle includes a convertible carrying handle transitionable between stowed and deployed positions. In some examples, the vehicle includes an interchangeable fender and fender substitute that may be removably coupled to an upper surface of the board. In some examples, a motor controller of the vehicle may operate a field-oriented control (FOC) scheme configured to control the electric motor by manipulating a direct current aligned with a rotating rotor flux angle and a quadrature current defined at ninety degrees from the rotating rotor flux angle. In some examples, the motor controller may be configured to permit intuitive dismounting of the vehicle by tilting and/or moving the vehicle backward.

A method for determining MTPA, flux-weakening, and MTPV operating points over the full speed range of an IPM motor for the most efficient torque control of the motor using a neural network is provided. The neural network is trained using a cloud-based neural network training algorithm. A special technique is developed to generate neural network training data, that is particularly suitable and favorable, to develop a high-performance neural network-based IPM torque control system, and the impact of variable motor parameters is embedded into the neural network system development and training. The provided method can achieve a fast and accurate current reference generation with a simple neural network structure, for optimal torque control of an IPM motor. The method can handle the MTPA, MTPV, and flux-weakening operation considering physical motor constraints.

A propulsion system for a device includes an electric motor configured to generate torque to propel the device. The electric motor includes a stator and a rotor with one or more permanent magnets. A controller is in communication with the electric motor and has recorded instructions for a method for minimizing demagnetization in the one or more permanent magnets. The controller is adapted to select a starting point and an intermediate point on a current trajectory in a stator current graph. The controller is adapted to obtain a final point on the stator current trajectory based on a comparison of the intermediate point and a predetermined voltage limit. A demagnetized torque capability is generated based on the final point on the current trajectory.

A regenerative braking controller for an AC motor. To determine an electromagnetic torque for slowing or stopping the motor, the regenerative braking controller accesses a lookup table to retrieve a braking torque value corresponding to a current estimate of rotor velocity. The retrieved braking torque may correspond to a maximum or minimum torque level at which regenerative braking will occur at the current rotor velocity, or to a torque level at which charging current during regenerative braking will be maximized. If an external mechanical brake is present, the regenerative braking controller can forward an external braking torque signal to a controller so that the mechanical brake can apply the remainder of the braking force beyond that indicated by the regenerative braking torque. A method for establishing the braking torques to be stored in the lookup table is also disclosed.

A regenerative braking controller for an AC motor. To determine an electromagnetic torque for slowing or stopping the motor, the regenerative braking controller accesses a lookup table to retrieve a braking torque value corresponding to a current estimate of rotor velocity. The retrieved braking torque may correspond to a maximum or minimum torque level at which regenerative braking will occur at the current rotor velocity, or to a torque level at which charging current during regenerative braking will be maximized. If an external mechanical brake is present, the regenerative braking controller can forward an external braking torque signal to a controller so that the mechanical brake can apply the remainder of the braking force beyond that indicated by the regenerative braking torque. A method for establishing the braking torques to be stored in the lookup table is also disclosed.

A method includes calculating, for a motor, a voltage constraint and calculating, for the motor, a supply current constraint and a regenerative current constraint. The method also includes calculating, for the motor, a motor current constraint and determining, for the motor, a first operating torque based on the voltage constraint, the supply current constraint, and the motor current constraint. The method also includes at least one of selectively controlling the motor based on the first operating torque and generating information associated with the first operating torque.

A propulsion system for an electric vehicle comprising a high voltage battery unit having a first high voltage battery connected in series with a second high voltage battery, which may also be referred to as a first and second battery bank, and one or more power inverters arranged to connect the battery banks to one or more electric machines. The one or more power inverters and the one or more electric machines are configured to form a first and a second three-phase system. The described architecture incorporating dual battery banks, and dual and/or multiphase inverters and electric machines can provide enhanced redundancy and limp home functionality in cases where a fault or error occurs in the inverter and/or in the electric machine so that a faulty three-phase system can be operated in a safe-state mode.

The embodiments of the present disclosure provide a control method, a device, a power system, and an electric vehicle. The method is applied to a motor controller of the power system. The power system further includes a power battery, a motor, and an inverter. The method includes: sending a first control signal to the inverter when a cell temperature of the power battery satisfies a preset heating condition for the power battery; where the first control signal is configured to control the inverter to convert an electricity provided by the power battery into an alternating current with a frequency changing randomly, and the alternating current with the frequency changing randomly is configured to supply power to the motor.

An energy conversion device is provided. The energy conversion device includes a reversible pulse-width modulation (PWM) rectifier (102) and a motor coil (103). The motor coil (103) includes L sets of winding units, and each set of winding unit is connected with the reversible PWM rectifier (102), where L≥2 and is a positive integer. At least two sets of heating circuits of a to-be-heated device are formed by an external power supply (100), the reversible PWM rectifier (102), and the winding units in the motor coil (103). The energy conversion device controls the reversible PWM rectifier (102) according to a control signal, so that a current outputted from the external power supply (100) flows through at least two sets of winding units in the motor coil (103) to generate heat, and cause a vector sum of resultant current vectors of the at least two sets of the winding units on a quadrature axis of a synchronous rotating reference frame based on rotor field orientation of the motor to be zero.