The present invention provides a control device of a vehicle, comprising: a detector configured to detect acceleration in a front-and-rear direction generated in the vehicle; and an estimation unit configured to calculate a braking force of the entire vehicle and a pitch angle of the vehicle based on the acceleration detected by the detector, and estimate an amount of nose dive of the vehicle during braking of the vehicle based on the calculated braking force of the entire vehicle and the calculated pitch angle of the vehicle.

A suspension apparatus includes: a damping device which damps a force generated between a vehicle body and a wheel; and a control section which controls a damping force of the damping device. The control section includes a multiplication section which multiplies a longitudinal acceleration of the vehicle body detected by a longitudinal acceleration sensor and a differential value of the longitudinal acceleration to thereby obtain a multiplication value.

An electric suspension apparatus includes electric actuators provided for a plurality of wheels, respectively, an acceleration sensor disposed in each of the electric actuators, the acceleration sensor detecting a first acceleration, and an electric suspension control ECU controlling each of the electric actuators based on the first acceleration, and the electric suspension control ECU decreases a control amount to the electric actuator, in a case where a first speed based on the first acceleration in an up-down direction is equal to or less than a predetermined speed.

A driving robot includes a sensor, a loading member configured to load food, a stabilizer provided at a bottom portion of the loading member, the stabilizer including a top plate, a bottom plate, and damping plates provided between the top plate and the bottom plate, the damping plates configured to adjust damping, a driving device including a suspension and a wheel, and a processor configured to control the stabilizer and the suspension based on information of at least one of information associated with the food, information obtained from a driving map or information of surrounding situation detected by the sensor.

Example illustrations are directed to a suspension system for a vehicle, which includes a controller configured to determine a roughness of a ground surface associated with the vehicle. The controller may be further configured to determine a height adjustment parameter for the suspension system based on the roughness determined, and to facilitate modification of the suspension system based on the determined height adjustment parameter. Example methods are provided, which may include determining, using a controller, a roughness of a ground surface associated with a vehicle, the roughness determined based on ride height. The method may also include determining, using the controller, a height adjustment parameter for a suspension system of the vehicle based on the roughness determined.

The present invention achieves suspension control that allows for synchronization of the roll and the pitch of a vehicle. This suspension control device that controls the damping force of a suspension comprises: a target pitch angle calculation unit that calculates a target pitch angle with reference to a roll angle signal; and a target control amount computation unit that calculates the roll posture target control amount referred to for controlling the damping force of the suspension by referring to a steering torque signal and the target pitch angle.

A suspension system and associated control methods that reduce temperature related fluctuations in the internal pressures and stiffness of the suspension system. A manifold assembly is connected in fluid communication with a plurality of dampers via hydraulic circuits and a pump assembly via a pump hydraulic line. Onboard sensors generate real-time data regarding the vehicle. A suspension control unit, arranged in electronic communication with the aforementioned components, monitors the real-time data, sets a target stiffness and a target pressure, calculates an effective stiffness based on the real-time data, determines if the effective stiffness is above or below the target stiffness and sets a new target pressure accordingly by making stepwise decreases or increases until the new target pressure is reached.

A suspension system and associated control methods for improving the effectiveness of driver assistance systems is disclosed where the driver assistance systems can generate and send requests to a suspension control unit (SCU) of the suspension system to actuate (e.g., close) one or more comfort valves in the suspension system to increase the roll stiffness and/or pitch stiffness of the suspension system when the driver assistance systems are taking corrective action. As part of a two-way communication between the suspension control unit (SCU) and the driver assistance systems, the suspension control unit (SCU) communicates target stiffnesses and/or calculated effective stiffnesses to the driver assistance systems, which is used to update the vehicle stability models used by the driver assistance systems.

A road surface condition is determined appropriately. A road surface determining section (84) configured to determine a road surface state includes a threshold setting section (845) configured to set a threshold for determining the road surface state, so that a value of a desired control variable is multiplied by a coefficient determined in accordance with a result of the determination by the road surface determining section (84).

Provided is an electric suspension device including an electromagnetic actuator that is provided between a body and wheel of a vehicle and generates a load for damping vibration of the body. It includes: a camera that detects preview image information of a road surface in front of the vehicle; a 3D gyro sensor that detects a sprung speed of the vehicle; a target load computation unit that computes a target load based on the preview image information and the sprung speed; and a load control unit that controls the load of the actuator by using the computed target load. When a detection result based on the preview image information indicates that the front road surface is even but a detection result based on the sprung speed indicates that the front road surface is uneven, the target load computation unit computes the target load based on the sprung speed.