Examples described herein provide a computer-implemented method that includes calculating, by a processing device, a motor acceleration error based at least in part on a motor torque and a motor speed. The method further includes calculating, by the processing device, a regression fit line based at least in part on the motor acceleration error. The method further includes identifying, by the processing device, a zero point using the regression fit line. The method further includes comparing, by the processing device, the zero point to a datum reference to determine a difference. The method further includes integrating, by the processing device, the difference to determine the lash angle. The method further includes controlling, by the processing device, the motor based at least in part on the lash angle.

Aspects of the present invention relate to a method and to a control system for controlling an electric traction motor of a vehicle, the control system comprising one or more controllers, wherein the control system is configured to: limit a rate of change of torque requested from the electric traction motor for changing speed towards a speed target, in dependence on a lash crossing protection rate limiter; and upon removal of the limit prior to the speed reaching the speed target, inhibit initial increase of a torque requested from the electric traction motor for changing speed towards the speed target.

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.

Tow bar arrangement (100) for interconnection of a pulling vehicle (10) and a pulled trailer (20). The arrangement (100) comprises a control device (110) with a force sensor (111) arranged to sense an instantaneous relative force between vehicle (10) and trailer (20). The control device (110) is arranged to produce a control signal for an electric motor (21) arranged to propel the trailer (20) so that a motor force counter-acts said measured force. The invention is characterised in that the control device (110) is arranged to a first time series of force measurements, in that the control device (110) comprises a low-pass filter (112) producing a second low-pass filtered time series, and in that a regulator (113) is ar-ranged to regulate said second time series to produce said control signal.

A method for determining an optimized torque distribution to the wheels of a road vehicle comprising the steps of determining a table of distribution of the torque between a front axle and a rear axle; determining a second table and a third table of distribution of the torque between a right wheel and a left wheel of the rear axle and of the front axle, respectively; detecting the current longitudinal dynamics; using the first, the second and the third table to determine a current value of the first, of the second and of the third distribution factor, respectively, based on the current longitudinal speed and on the current longitudinal acceleration of the road vehicle.

A torque map generation system includes a motor, an inverter that drives the motor, a controller that controls the inverter, a torque sensor coupled to the motor, a power analyzer coupled to the torque sensor and a torque map generator that measures a current vector value of the motor by switching a MTPA (Maximum Torque Per Ampere) method and a square wave method based on a voltage utilization ratio of the inverter, wherein the torque map generator utilizes a measurement result by the MTPA method when the torque map generator uses the square wave method.

A powertrain for an electric vehicle has a driveshaft connected to two or more motors where each motor is connected to a battery pack associated with that motor. A controller is used to select one or more motors to be energized for propulsion or used for regenerative braking to recharge the battery pack to which it is coupled. The controller can optimize the state of charge (SOC) difference of the battery packs and provide for a smooth and efficient powering of the vehicle for acceleration and climbing and optimize the range of the vehicle by management of the relative SOC of the battery packs. The electric vehicle can include two or more fuel cells that individually coupled to a motor.

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 all-wheel-drive electric vehicle includes one or more front electric motors, one or more rear electric motors, an accelerator sensor, a vehicle speed sensor, and a control unit. The one or more front electric motors are configured to directly drive front wheels. The one or more rear electric motors are configured to directly drive rear wheels. The accelerator sensor is configured to determine an operation amount of an accelerator. The vehicle speed sensor is configured to determine vehicle speed. The control unit is configured to control drive of the one or more front and rear electric motors based on the operation amount of the accelerator and the vehicle speed. The control unit is configured to change an allocation of driving force between the one or more front electric motors and the one or more rear electric motors with a bias toward the rear wheels in a case where the operation amount of the accelerator is increased at or above a predetermined rate in a state in which the vehicle speed is higher than or equal to a predetermined speed.

Aspects of the present invention relate to a method and to a control system for controlling movement of a vehicle to provide vehicle creep, the vehicle comprising an engine and an electric traction motor, the control system comprising one or more controllers, wherein the control system is configured to: while a torque path between the engine and a first set of vehicle wheels is disconnected, control the electric traction motor to provide tractive torque to a second set of vehicle wheels to automatically move the vehicle to provide electric vehicle creep, wherein the electric vehicle creep is controlled by a mathematical model of engine creep torque that would be provided by the engine when the torque path between the engine and the first set of vehicle wheels is connected.