A turning control system for a vehicle having a driving motor to generate driving power may include: an error calculation unit that calculates an error between a lateral acceleration of the vehicle and a reference lateral acceleration; and a reduction torque calculation unit that calculates a torque reduction of the driving motor in order to reduce the error calculated by the error calculation unit.

Disclosed are a self-adaptive assistance control device, a computer device and a storage medium for vehicle passing curve. The method comprises: step S10, according to signals from vehicle's sensors, identifying current bend types, and obtaining, corresponding to bend types, a lateral impact degree of the current vehicle according to a lateral acceleration; step S11, obtain an expected longitudinal acceleration based on the lateral impact degree; step S12, according to the expected longitudinal acceleration and a current actual longitudinal acceleration, determining an activation type for current bend assist control; and step S13, according to the activation type, cooperatively controlling an engine torque or/and an ESC braking intensity, so as to realize expected longitudinal control over the vehicle in the road curve.

Disclosed are a self-adaptive assistance control device, a computer device and a storage medium for vehicle passing curve. The method comprises: step S10, according to signals from vehicle's sensors, identifying current bend types, and obtaining, corresponding to bend types, a lateral impact degree of the current vehicle according to a lateral acceleration; step S11, obtain an expected longitudinal acceleration based on the lateral impact degree; step S12, according to the expected longitudinal acceleration and a current actual longitudinal acceleration, determining an activation type for current bend assist control; and step S13, according to the activation type, cooperatively controlling an engine torque or/and an ESC braking intensity, so as to realize expected longitudinal control over the vehicle in the road curve.

An object of the present invention is to provide a vehicle motion state estimation device and method that can estimate the vertical motion state amount with high accuracy by taking into consideration vertical force in which the frictional force acting in the front-rear direction or lateral direction of the wheel acts on the vehicle body due to the geometry of suspension. A vehicle motion state estimation device in a vehicle in which a wheel and a vehicle body are coupled via a suspension, the vehicle motion state estimation device including: a vertical motion-caused wheel speed component estimation unit that estimates a wheel speed component caused by vertical motion of the vehicle; a vertical force estimation unit that calculates vertical force in which frictional force of the wheel caused by motion of the vehicle acts on the vehicle body by geometry of the suspension; and a vertical motion estimation unit that estimates a state amount of vertical motion of a vehicle, in which the vertical motion estimation unit estimates a state amount of vertical motion of the vehicle based on a wheel speed component from the vertical motion-caused wheel speed component estimation unit and vertical force acting on the vehicle body from the vertical force estimation unit.

An object of the present invention is to provide a vehicle motion state estimation device and method that can estimate the vertical motion state amount with high accuracy by taking into consideration vertical force in which the frictional force acting in the front-rear direction or lateral direction of the wheel acts on the vehicle body due to the geometry of suspension. A vehicle motion state estimation device in a vehicle in which a wheel and a vehicle body are coupled via a suspension, the vehicle motion state estimation device including: a vertical motion-caused wheel speed component estimation unit that estimates a wheel speed component caused by vertical motion of the vehicle; a vertical force estimation unit that calculates vertical force in which frictional force of the wheel caused by motion of the vehicle acts on the vehicle body by geometry of the suspension; and a vertical motion estimation unit that estimates a state amount of vertical motion of a vehicle, in which the vertical motion estimation unit estimates a state amount of vertical motion of the vehicle based on a wheel speed component from the vertical motion-caused wheel speed component estimation unit and vertical force acting on the vehicle body from the vertical force estimation unit.

A four-wheel drive force distribution apparatus for distributing drive forces to the wheels of a four-wheel drive vehicle, in which the distribution of drive force to the front inside wheel (2a) and the distribution of drive force to the rear inside wheel (3a) are adjusted based on a ground load of the front inside wheel (2a) and a ground load of the rear inside wheel (3a) when the vehicle is turning, and the distribution of drive force to the front inside wheel (2a) compared with distribution of drive force to the rear inside wheel (3a) is reduced the smaller the ratio of the ground load of the front inside wheel (2a) to the ground load of the rear inside wheel (3a) during turning.

A four-wheel drive force distribution apparatus for distributing drive forces to the wheels of a four-wheel drive vehicle, in which the distribution of drive force to the front inside wheel (2a) and the distribution of drive force to the rear inside wheel (3a) are adjusted based on a ground load of the front inside wheel (2a) and a ground load of the rear inside wheel (3a) when the vehicle is turning, and the distribution of drive force to the front inside wheel (2a) compared with distribution of drive force to the rear inside wheel (3a) is reduced the smaller the ratio of the ground load of the front inside wheel (2a) to the ground load of the rear inside wheel (3a) during turning.

Systems, methods, and apparatuses for controlling components of a vehicle are provided. The vehicle can include a data processing system (“DPS”) including one or more processors and memory. The DPS can receive sensor data from sensors of the vehicle. The DPS can determine a vehicle body height. The DPS can determine a vehicle roll angle. The DPS can determine a first height of a road and a second height or the road. The DPS can determine a road height based on the first height of the road and the second height of the road. The DPS can provide the road height to a controller of one or more vehicles. The DPS can adjust the component of the one or more vehicles.

Systems, methods, and apparatuses for controlling components of a vehicle are provided. The vehicle can include a data processing system (“DPS”) including one or more processors and memory. The DPS can receive sensor data from sensors of the vehicle. The DPS can determine a vehicle body height. The DPS can determine a vehicle roll angle. The DPS can determine a first height of a road and a second height or the road. The DPS can determine a road height based on the first height of the road and the second height of the road. The DPS can provide the road height to a controller of one or more vehicles. The DPS can adjust the component of the one or more vehicles.

This disclosure relates to method and system for detecting and compensating for mechanical fault in autonomous ground vehicle (AGV). For each of a set of trajectory plan segments along a base path during real-time navigation of the AGV, the method may include receiving a plurality of vehicle displacement parameters along a given trajectory plan segment. and determining an optimal velocity twist of the AGV in the given trajectory plan segment using an artificial intelligence (AI) model, based on the plurality of vehicle displacement parameters and a weight of the AGV. The method may further include determining the mechanical fault in the AGV based on a comparison of an actual velocity twist of the AGV in the given trajectory plan segment and the optimal velocity twist of the AGV in the given trajectory plan segment for each of the set of trajectory plan segments.