Methods and systems are described for controlling a vehicle braking system. A braking force is applied to the vehicle by applying friction only braking to the wheels of one axle and applying a blended braking force (including a regenerative braking force and a friction braking force) to the wheels of another axle. Using vehicle and tire modeling techniques, a set of side-slip angles is calculated that is estimated to occur if the total braking force were applied using only friction braking. A compensatory yaw moment is then determined based on differences between the estimated side-slip angles and the actual side-slip angles of the vehicle under the blended braking. The compensatory yaw moment is then applied to the vehicle to enable the vehicle to utilize regenerative braking while exhibiting the same vehicle dynamics that occur when using friction braking only.

Various methods of detecting or controlling vehicle stability are disclosed. Certain embodiments provide a method for performing hill hold control for a vehicle, a method for detecting a vehicle sliding into loss of control, and/or a method for controlling a vehicle's sliding into loss of control. Methods for detecting sliding into loss of control may include comparing the vehicle's longitudinal velocity gradient with a reference speed computed from wheel speed sensors inputs and/or detecting a lateral velocity of the vehicle and a longitudinal velocity of the vehicle when vehicle sliding is detected. Methods for control may include calculating a vehicle pitch angle from the lateral acceleration, the longitudinal acceleration, the yaw rate, the roll rate, and the pitch rate, calculating a longitudinal velocity gradient from the vehicle pitch angle, and/or calculating a sideslip angle.

A computer-implemented method performed in a vehicle control unit for controlling motion of a heavy-duty vehicle, the method comprising obtaining a vehicle motion request, wherein the vehicle motion request is indicative of a target curvature c.sub.req and a target acceleration a.sub.req, determining a motion support device (MSD) control allocation (T.sub.i/?.sub.i/?.sub.i/?.sub.i) based on the vehicle motion request, determining a dynamic longitudinal wheel slip limit (?.sub.lim/?.sub.lim) based on the vehicle motion request and separately from the MSD control allocation, where the dynamic longitudinal wheel slip limit increases with a decreasing target curvature, and controlling the motion of the heavy-duty vehicle based on the MSD control allocation constrained by the dynamic longitudinal wheel slip limit.

An auxiliary steering system (100) and method for an electric vehicle and the electric vehicle are disclosed. The system includes a detection component (6A) including a first electric motor (4) and a detection controller (6) configured to determine whether a steering assist device (2) is normal, to continue to determine whether the steering assist device (2) is normal if yes, and to control a drive rack (5A) of the first electric motor (4) to drive wheels (17) of the electric vehicle to return and to output a steering failure signal, a steering wheel torque signal and a direction signal if no; an electric motor controller (8); a second electric motor (14); and a vehicle controller (7). The electric motor controller (8) is further configured to control the second electric motor (14) to increase a drive torque for an outer front wheel (17), to brake an inner rear wheel (17), and to stop driving an inner front wheel (17) and an outer rear wheel (17).

A controller and a control method capable of appropriately stabilizing behavior of a rear wheel of a straddle-type vehicle. In the controller and the control method, a slip amount of a wheel of a straddle-type vehicle is controlled to be equal to or smaller than an allowable slip amount. In the case where it is determined that behavior of a rear wheel of the straddle-type vehicle is in an unstable state on the basis of a slip angle of the straddle-type vehicle, stabilization control is executed to reduce the allowable slip amount of the rear wheel to be smaller than the allowable slip amount of the rear wheel at the time when it is determined that the behavior of the rear wheel is in the stable state.

A path tracking control method for an intelligent electric vehicle. The method includes the following steps. A lateral stability state of a vehicle is determined, where the lateral stability state includes a stable state, a critical-destabilized state, and a destabilized state. Path tracking control is performed on the vehicle according to the lateral stability state of the vehicle. This application also provides a path tracking control device for an intelligent electric vehicle, which includes a lateral stability state determination module and a path tracking control module.

The present disclosure discloses an electric vehicle and an active safety control system and method thereof. The system includes: a wheel speed detection module configured to detect a wheel speed to generate a wheel speed signal; a steering wheel rotation angle sensor and a yaw rate sensor module, configured to detect state information of the electric vehicle; a motor controller; and an active safety controller configured to receive the wheel speed signal and state information, obtain state information of a battery pack and state information of four motors, obtain a first side slip signal or a second side slip signal according to the wheel speed signal, the state information, the battery pack and the four motors, and according to the first side slip signal or the second side slip signal, control four hydraulic brakes of the electric vehicle and control the four motors by using the motor controller.

The present disclosure discloses an electric vehicle and an active safety control system and method thereof. The system includes: a wheel speed detection module configured to detect a wheel speed to generate a wheel speed signal; a steering wheel rotation angle sensor and a yaw rate sensor module, configured to detect state information of the electric vehicle; a motor controller; and an active safety controller configured to receive the wheel speed signal and state information, obtain state information of a battery pack and state information of four motors, obtain a first side slip signal or a second side slip signal according to the wheel speed signal, the state information, the battery pack and the four motors, and according to the first side slip signal or the second side slip signal, control four hydraulic brakes of the electric vehicle and control the four motors by using the motor controller.

A vehicle travel assistance system includes distributing half of target yawing moment to inner wheels and distributing the rest to outer wheels; increasing the amount of increase in the braking force of the inner wheels as the target yawing moment distributed to the inner wheels increases, and increasing the amount of decrease in the braking force of the outer wheels as the target yawing moment distributed to the outer wheels increases; and causing the braking force of the inner wheels to increase according to the amount of increase in the braking force of the inner wheels, and causing the braking force of the outer wheels to decrease according to the amount of decrease in the braking force of the outer wheels.

A method of adaptively changing brake force distribution in a vehicle may include detecting vehicle parameters during operation of the vehicle, based on the detected vehicle parameters, determining downhill travel of the vehicle while braking and steering inputs are applied to the vehicle as an enabling condition, and responsive to detection of a trigger comprising detection of an understeer condition while the enabling condition is satisfied, executing a brake force distribution modification defining a change in distribution of brake forces between a front axle and a rear axle of the vehicle.