A yaw motion control method for a four-wheel distributed vehicle includes: calculating the steering response of the vehicle in a steady state using a nonlinear vehicle model in reference with an understeering degree while constraining by the limit value of the road surface adhesion condition according to the sideslip angle response and the vertical load change in the steady state, calculating the lateral force response and the self-aligning moment response of the tires in the steady state by a magic tire formula, calculating the required additional yaw moment by using the yaw motion balance equation, reasonably distributing the generalized control force to the four drive motors through the optimization algorithm in combination with the current driving conditions; finally, off-line storing and retrieving the calculation results of the off-line distribution of different vehicle parameters required by different upper layers to distribute the torques to the four drive wheels.

A yaw motion control method for a four-wheel distributed vehicle includes: calculating the steering response of the vehicle in a steady state using a nonlinear vehicle model in reference with an understeering degree while constraining by the limit value of the road surface adhesion condition according to the sideslip angle response and the vertical load change in the steady state, calculating the lateral force response and the self-aligning moment response of the tires in the steady state by a magic tire formula, calculating the required additional yaw moment by using the yaw motion balance equation, reasonably distributing the generalized control force to the four drive motors through the optimization algorithm in combination with the current driving conditions; finally, off-line storing and retrieving the calculation results of the off-line distribution of different vehicle parameters required by different upper layers to distribute the torques to the four drive wheels.

In motion control in the present invention, operation amounts relating to braking and drive are set as a control command when a difference between a physical quantity relating to a target vehicle attitude which is based on a target trajectory and a physical quantity relating to a linear model vehicle attitude which is based on a linear model of a vehicle exceeds a threshold value, operation amounts relating to braking and steering are set as the control command when the difference is equal to or smaller than the threshold value, and an attitude of the vehicle in a yaw direction is controlled based on the control command.

In motion control in the present invention, operation amounts relating to braking and drive are set as a control command when a difference between a physical quantity relating to a target vehicle attitude which is based on a target trajectory and a physical quantity relating to a linear model vehicle attitude which is based on a linear model of a vehicle exceeds a threshold value, operation amounts relating to braking and steering are set as the control command when the difference is equal to or smaller than the threshold value, and an attitude of the vehicle in a yaw direction is controlled based on the control command.

According to the method of estimating a maximum road friction coefficient, artificial braking or driving-related control is conducted and a maximum road friction coefficient is estimated based on a difference in wheel speeds between front and rear wheels, compensated for slip of tires.

According to the method of estimating a maximum road friction coefficient, artificial braking or driving-related control is conducted and a maximum road friction coefficient is estimated based on a difference in wheel speeds between front and rear wheels, compensated for slip of tires.

A method for detecting lateral driving behavior can include collecting data from a set of sensors; and determining a set of lateral event outcomes S500. Additionally or alternatively, the method can include any or all of: aggregating data; checking for a set of criteria; determining a set of lateral event features; triggering an action based on the set of lateral event outcomes; and/or any other processes. The method can function to detect and assess the (lateral) driving behavior associated with a user.

A method for detecting lateral driving behavior can include collecting data from a set of sensors; and determining a set of lateral event outcomes S500. Additionally or alternatively, the method can include any or all of: aggregating data; checking for a set of criteria; determining a set of lateral event features; triggering an action based on the set of lateral event outcomes; and/or any other processes. The method can function to detect and assess the (lateral) driving behavior associated with a user.

The disclosure relates to a method to control torque distribution among a plurality of electric machines connected to at least one front wheel and at least one rear wheel of a vehicle during operation, comprising: acquiring the total torque requested; obtaining the most energy efficient torque distribution mode by using a loss model or loss map; evaluating the actual driving situation; determining if a mode switch is allowed depending on the actual driving situation; switching the torque distribution mode, if allowed; and preventing a mode switch, if not allowed.

The disclosure relates to a method to control torque distribution among a plurality of electric machines connected to at least one front wheel and at least one rear wheel of a vehicle during operation, comprising: acquiring the total torque requested; obtaining the most energy efficient torque distribution mode by using a loss model or loss map; evaluating the actual driving situation; determining if a mode switch is allowed depending on the actual driving situation; switching the torque distribution mode, if allowed; and preventing a mode switch, if not allowed.