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.

A drifting training assistance system is provided for a motor vehicle for learning drifting techniques required in high-performance driving training. The steering and the gas pedal movement, or the combined action thereof, is taken on and/or supported by a drifting assistance system.

The present invention relates to a controller (27) for a braking system for a vehicle (10). The braking system has an independent generator (20, 22) on respective front and rear axles (16, 18). The controller (27) comprises an input (44) arranged to monitor a vehicle condition and an operating condition of the generators (20, 22). The controller (27) also comprises a processing means (46) arranged to determine a brake force distribution range between the front and rear axles (16, 18) based on the vehicle condition, and in response to a braking demand and the operating condition of the generators (20, 22), calculate a brake force distribution within the brake force distribution range. In addition, the controller (27) comprises an output (50) arranged to control the generators in accordance with the calculated brake force distribution.

The embodiments of the present application disclose a stability control system and a stability control method for a four-wheel drive electric vehicle and the four-wheel drive electric vehicle. In the stability control system, when the lateral acceleration is equal to or greater than an acceleration threshold, at least one of a first braking force signal, a second braking force signal, a first logic signal and a second logic signal is obtained. When the first logic signal is obtained, the body of the electric vehicle is controlled to keep stable. When the first braking force signal and the second logic signal are obtained, a motor is controlled to apply braking force to an outside front wheel. When the second braking force signal and the second logic signal are obtained, motors are controlled to apply braking force to the outside front wheel and an inside rear wheel.

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 vehicle turning control device mounted on a vehicle includes a control device that calculates a control yaw moment for increasing turning performance of the vehicle and uses a yaw moment generation device to generate the control yaw moment. A limit control yaw moment, which is an upper limit of an allowable range of the control yaw moment in which the vehicle does not spin, is a function of a lateral jerk equivalent and decreases as the lateral jerk equivalent increases. The control device calculates the limit control yaw moment based on the lateral jerk equivalent and the function, updates a hold control yaw moment with a latest value of the limit control yaw moment when the latest value is less than the hold control yaw moment, and determines the control yaw moment so as not to exceed the hold control yaw moment.

A braking control device is provided to automatically control a main braking device normally used to brake a host vehicle during travel and a second braking device used to maintain the host vehicle in a stopped state. The braking control device has a slip degree prediction unit and a braking device switching unit. The slip degree prediction unit predicts a possibility that the host vehicle will slip. The braking device switching unit is configured to delay a timing with which to start a reduction in a braking force of the main braking device if the slip degree prediction unit predicts a slip when switching the main braking device to the second braking device.

Provided is a master cylinder unit including a simulator pressure chamber which communicates with a pressure chamber of a master cylinder and moves a simulator piston by means of an introduced fluid pressure; a biasing chamber in which a biasing mechanism biasing the simulator piston against a fluid pressure introduced into the simulator pressure chamber is disposed; a first seal member which partitions a simulator supply chamber, the simulator supply chamber, and the simulator pressure chamber communicating with a master supply chamber; and a second seal member which partitions the simulator supply chamber and the biasing chamber and allows a brake fluid to flow from the simulator supply chamber to the biasing chamber when a pressure difference occurs between the simulator supply chamber and the biasing chamber.

A method of reconstructing a detected faulty signal. A pitch sensor fault is detected by a processor. A signal of the detected faulty pitch sensor is reconstructed using indirect sensor data. The reconstructed signal is output to a controller to maintain stability.

A method of reconstructing a detected faulty signal. A pitch sensor fault is detected by a processor. A signal of the detected faulty pitch sensor is reconstructed using indirect sensor data. The reconstructed signal is output to a controller to maintain stability.