Presented are high-voltage electrical systems, control logic, and electric-drive vehicles with optimized motor torque output. A method of operating an electric-drive vehicle includes a controller identifying the vehicle's operating mode and determining calibration settings corresponding to this operating mode. These calibration settings include low and high coolant temperature (CoolTemp) thresholds, and motor-calibrated torque limits as a function of CoolTemp. The controller determines if the present CoolTemp of the power inverter's coolant is greater than the low CoolTemp threshold and less than the high CoolTemp threshold. If so, the controller sets a motor torque limit of the vehicle's electric motor to a torque limit value selected from a fixed torque limit region within the torque limits data between the low and high CoolTemp thresholds. The controller operates the power inverter to regulate the transfer of electrical power between a rechargeable battery and the electric motor based on the motor torque limit.

A vehicle includes a stimulus generator whose inputs are at least the mechanical torque (Tm) of the electric motor (M) measured by an estimator (TmE) of the mechanical torque (Tm) of the motor (M), and the velocity (V) measured by an estimator (VE) of the velocity (V) and whose outputs are a velocity control stimulus (VS) and a torque control stimulus (TS) towards the user (U). A vehicle includes a stimulus generator (SG) whose inputs are the power (Pu) measured by the estimator (PuE), and the velocity (V) measured by the estimator (VE) of the velocity (V) and whose output is a forced velocity control stimulus (VFS) that results in the velocity setpoint (V*) of the electric motor (M). Control procedures for these vehicles are also described.

A method for controlling motor assistance provided by a motor of an electric bike is disclosed. The method includes determining a variable rate of change of a governing factor, which defines the extent to which a governing factor changes over a defined time interval The rate of change is selected such that the governing factor is decremented when a current speed is greater than a target speed, and the governing factor is incremented when the current speed is less than the target speed. The method further includes adjusting an existing governing factor based on the rate of change of the governing factor determined. The method also includes applying the governing factor calculated to a motor assistance determined for actuating the motor. A greater governing factor results in greater motor assistance than a comparatively lesser governing factor.

A control device and method of an electric vehicle for realizing virtual drive system sensibility is disclosed. A main objective is to provide the control device and method of the electric vehicle capable of realizing and providing differentiated driving sensibility that may be felt in other drive systems such as a drive system of an internal combustion engine vehicle. The control method includes determining a basic torque command, for controlling operation of a driving motor, from vehicle driving information collected by a controller while driving a vehicle; determining a virtual drive system torque command, which is a corrected torque command for realizing virtual drive system sensibility, from a determined basic torque command by using a virtual drive system model preset in the controller, and controlling torque of the driving motor by the controller according to a determined virtual drive system torque command.

A device for calibrating two electric motors mounted on one axle in two-axle motor vehicles includes at least one electronic control unit configured to check whether predefined conditions for a switchover from torque control to rotational speed control are met. If met, the at least one electronic control unit is configured to switch to rotational speed control for a predefined period of time. A torque-dependent characteristic map with correction values is created on the basis of this difference. The target torques are corrected by the correction values during torque control after rotational speed control has been deactivated.

A mobile vehicle wirelessly receives AC power from a power transmission device including first and second power transmission electrodes arranged along a road surface. The mobile vehicle includes: a sensor that detects an obstacle located at least either on a route of the mobile vehicle or under the mobile vehicle; a first power reception electrode that forms electric field coupling with the first power transmission electrode when facing the first power transmission electrode; a second power reception electrode that forms electric field coupling with the second power transmission electrode when facing the second power transmission electrode; an actuator that moves at least the part of the first power reception electrode in a direction of gravity; and a control circuit that controls the actuator based on a result of detection by the sensor to avoid contact between the first power reception electrode and the obstacle.

A control method of an electric vehicle using one or a plurality of motors as a traveling drive source, includes: a motor torque command value calculating step that calculates a motor torque command value; an angular velocity detecting step that detects an angular velocity correlating with a rotation speed of a drive shaft which transmits a drive force of the motor to a drive wheel; a disturbance torque estimating step that estimates a disturbance torque acting on the motor based on the motor torque command value and the angular velocity; a limiting torque setting step that sets a limiting torque corresponding to the disturbance torque in a manner that a slipping rate of the drive wheel does not exceed a first predetermined value; and a motor torque limiting step that limits the motor torque command value using the limiting torque.

A driving force controller for vehicle includes a driving force calculator and a driving controller. The driving force calculator calculates an instructed driving force, and includes a first determination unit that determines whether or not a predicted driving force satisfies a first condition. The predicted driving force assumes that the instructed driving force calculated on a first control cycle is changed at a rate of change calculated on the first control cycle, until a second control cycle. The first condition includes that a range between the instructed driving force calculated on the first control cycle and the predicted driving force at least partly cover a first range including a zero driving force. The driving force calculator imposes limitation on the rate of change in the instructed driving force to be calculated in the second control cycle, on the condition that the first condition is satisfied.

A method for controlling driving of an electric vehicle includes calculating an error between a vehicle output value output from the electric vehicle which is traveling and a model output value output from a control model of the electric vehicle for controlling the electric vehicle, analyzing the calculated error and determining an error factor causing the error based on analyzed result values, generating a weight corresponding to the determined error factor and applying the weight to a parameter to obtain an estimated parameter, and reflecting the estimated parameter in the control model when a vehicle input value input to the electric vehicle satisfies a predetermined condition.

Disclosed herein is a big-data-based battery diagnostic system that includes a first vehicle having a first battery module disposed therein, a battery data server having a processor configured to collect first state information related to the first battery module provided from the first vehicle, to learn the collected first state information, and to set a reference voltage for the first vehicle based on the learned first state information, and a second vehicle configured to receive the reference voltage from the battery data server and having a second battery module disposed therein. The second vehicle is configured to measure second state information related to the second battery module, compare the measured second state information with the reference voltage to analyze the same, and apply a result value of the comparison and analysis to a preset diagnostic level range to diagnose a current state of the second vehicle.