A motor drive device includes a power conversion circuit that drives an AC motor and a controller that controls the power conversion circuit. The controller includes a command current calculation unit generating a command current according to command torque for the AC motor and a current control unit that performs feedback control for adjusting a current applied to the AC motor to the command current. The controller also includes a control gain setting unit that calculates a control gain used for the feedback control based on the command torque and sets the calculated control gain in the current control unit. The control gain setting unit performs control such that a time from a decrease of an absolute value of the command torque to switching of the control gain is longer than a time from an increase of the absolute value of the command torque to switching of the control gain.

Disclosed are a vehicle for generating an acceleration profile based on the acceleration cognitive characteristics of the human and a method of controlling the same. The method includes: receiving a manipulation amount of an accelerator pedal and calculating a first torque value, inserting the first torque value to a function that receives force and outputs acceleration feeling, generating a second torque value by inserting an output value of the function into a first filter for stabilizing the output value, generating a target torque value by inputting the second torque value to a second filter for stabilizing the second torque value, and generating a torque command based on the target torque value.

A system is configured to manage motor engagement in a vehicle by determining to engage a disengaged motor shaft with a drivetrain, and in response, activating a feedback controller based on a speed of the motor shaft and activating a feedforward controller. The system determines at least one metric for modifying an output of the feedforward controller. The at least one metric is based on the speed of the motor shaft and the desired speed, and may be applied as a gain to the output of the feedforward controller. The system generates a command based on the feedback controller, the feedforward controller, and the at least one metric, and causes the motor shaft and the drivetrain to be engaged based on the speed of the motor shaft and the desired speed. The system nulls output of the feedforward controller as the speed of the motor shaft approaches the desired speed.

A contactless motor vehicle-charging device which, as components, includes a primary side and a secondary side, between which, via at least one air gap, energy can be transferred via inductive and/or capacitive coupling, and each of the components in each case includes at least a portion of a control circuit of the contactless motor vehicle-charging device, wherein at least one of the components includes a field controller and at least one of the components comprises a field measurement device which is designed to acquire a magnetic and/or electric field strength, wherein the field controller is designed to use in at least one control operation the acquired field strength as an actual value and, by this actual value and a predetermined setpoint value, to set at least one field strength of the contactless motor vehicle-charging device as a control variable.

A method for estimating a present energy consumption of an electrically propelled vehicle powered by a propulsion battery. The method includes obtaining previous energy consumption values for a set of previous time instants, and a present drive pattern parameter value; estimating a present energy consumption based on a weighted moving average model fed with the energy consumption values, wherein, the weighted moving average model includes a modelled gain factor for each of at least a portion of the previous energy consumption values, where the modelled gain factors are modelled as a function of the drive pattern parameter.

Techniques are described for implementing automated control systems that each control or otherwise manipulate, for a target system having one or more battery cells each having internal components that include one or more internal supercapacitor components in parallel with at least one battery component, usage operations for one of the internal components of one of the battery cells, with the usage operations for the internal components of a particular battery cell being synchronized or otherwise coordinated to protect the battery component(s) of the battery cell while satisfying other criteria (e.g., to increase battery cell life and/or reduce power dissipation). In at least some situations, the target system is an electric vehicle, and the automated control systems control the electric vehicle's battery cells to provide electrical power to the motor during acceleration and constant speed driving, and to store electrical power in the battery cells during braking or other deceleration.

A system is configured to manage motor engagement in a vehicle by determining to engage a disengaged motor shaft with a drivetrain, and in response, activating a feedback controller based on a speed of the motor shaft and activating a feedforward controller. The system determines at least one metric for modifying an output of the feedforward controller. The at least one metric is based on the speed of the motor shaft and the desired speed, and may be applied as a gain to the output of the feedforward controller. The system generates a command based on the feedback controller, the feedforward controller, and the at least one metric, and causes the motor shaft and the drivetrain to be engaged based on the speed of the motor shaft and the desired speed. The system nulls output of the feedforward controller as the speed of the motor shaft approaches the desired speed.

A method for improving the force transmission between a wheel of a vehicle and the road is disclosed. The method has the following steps: determining target dynamics of a wheel; and, adjusting the dynamics of the wheel by a driving device of the vehicle by actively applying a torque to the wheel to set the target dynamics. A device, a vehicle, and a computer product are disclosed to execute the method.

A vehicle control device includes processor configured to execute computer-readable instructions to perform. The processor is configured to acquiring a state of a first battery and a state of a second battery, acquiring at least first actual output power of the first battery, calculating a first upper power limit value based on the state of the first battery, calculating a second upper power limit value based on the state of the second battery, and controlling a power conversion process of a power convertor based on the calculated upper power limit values, requested power from a vehicle to be output to a motor, and the first actual output power. The controlling of the power conversion process includes, when output instruction content for iteratively issuing an instruction is determined, calculating the second requested power obtained by correcting currently requested power based on a difference between previously requested power and the first actual output power.

A vehicle electric torque vectoring system includes a traction motor, a vectoring motor, gears, and a controller. The gears transfer torque from the propulsion and vectoring motors to wheels. The controller, responsive to a step change in an unmodified torque request for the vectoring motor and a predicted torque response of the vectoring motor being greater than the unmodified torque request, commands the vectoring motor to generate torque with a modified torque request less than the unmodified torque request. The controller further, responsive to the predicted torque response becoming less than the unmodified torque request, commands the vectoring motor to generate torque with the unmodified torque request.