A tire radius monitoring system for dynamically determining a tire effective radius for each of the wheels on a vehicle is described. The system includes a GPS sensor, a plurality of wheel speed sensors, and a controller. The controller determines, via the GPS sensor, a velocity vector related to longitudinal velocity of the vehicle. The controller determines wheel speeds for the plurality of vehicle wheels, and detects a no-wheel-slip state for the vehicle wheels and the velocity vector from the GPS sensor. The controller determines tire effective radii for the plurality of vehicle wheels based upon the velocity vector for the vehicle and the wheel speeds for the plurality of vehicle wheels during the no-wheel-slip state, and controls vehicle operation based upon the tire effective radii.

The present invention obtains a controller capable of suppressing worsening of comfort of an occupant in a vehicle when compared to the background art.

The controller according to the present invention is a controller that is mounted to the vehicle and outputs a command signal corresponding to a damping coefficient of a shock absorber to an actuator that adjusts the damping coefficient of the shock absorber of a damping force adjustment type. In the case where, in the vehicle, a portion on a wheel side with the shock absorber being a reference is set as an unsprung portion, where a state where a frequency of the unsprung portion is higher than a prescribed frequency is set as a first frequency state, and where a state where the frequency of the unsprung portion is lower than the prescribed frequency is set as a second frequency state, the controller is configured to output, to the actuator, such a command signal that reduces the damping coefficient of the shock absorber to be smaller than the damping coefficient of the shock absorber in the second frequency state when a state becomes the first frequency state.

A mechanical bypass for a shock assembly is disclosed herein. The assembly has a damper chamber having a compression portion and a rebound portion. There is further an external reservoir in fluid communication with the rebound portion of the damper chamber via a flow path. A valve is coupled with the flow path, the valve to meter a flow of the working fluid through the flow path. A bypass port to the external reservoir is provided in the flow path and bypasses the valve. A mechanical relief valve is provided in the bypass port to block a fluid flow though the bypass port until a blow-off pressure that is higher than a normal operating pressure and less than a burst pressure of the damping chamber is provided thereon.

It is an object of the present invention to improve accuracy in estimation of a state of a vehicle in order to achieve excellent ride comfort. An ECU (600) includes a reference vehicle model computation section (1100), which is configured to calculate a reference output by carrying out computation with respect to at least one of a plurality of state amounts in a planar direction and at least one of a plurality of state amounts in an up-down direction in an inseparable manner.

The disclosure relates to a method for determining object information relating to an object in an environment of a multi-part vehicle having at least one towing vehicle and at least one trailer and a control unit and vehicle associated with it, with at least one trailer camera being arranged on the trailer, having at least the following steps: capturing the environment with a trailer camera from a first position and, in dependence thereon, creating a first image having first pixels; changing the position of the trailer camera; capturing the environment with the trailer camera from a second position and creating a second image having second pixels; and, determining object information relating to an object in the captured environment.

A vehicle includes a sprung mass including a cabin coupled to a chassis, tractive assemblies each including at least one tractive element, springs coupling the tractive elements to the sprung mass, each spring imparting an upward force on the sprung mass, load sensors each configured to provide a signal indicative of the force imparted by one of the springs, and a controller operatively coupled to the load sensors. The controller is configured to determine a weight of the sprung mass using the signals from the load sensors and monitor at least one operational condition of the vehicle. The controller is configured to determine whether or not to disable determination of the weight based on the at least one operational condition.

A vehicle control device includes: a control portion that makes, of a plurality of shock absorbers included in a vehicle, a first damping force of at least one shock absorber that is located on a first direction side on which acceleration acts in a longitudinal direction of the vehicle larger than a second damping force of at least one shock absorber of the plurality of shock absorbers that is located on a second direction side opposite to the first direction in the longitudinal direction of the vehicle before acceleration acting on the vehicle is detected by an acceleration sensor due to acceleration or deceleration of the vehicle.

Provided is an electronically controlled suspension system for estimating a rear wheel acceleration, which includes: a sensor unit measuring an acceleration value of a front wheel; a storage unit storing the acceleration value of the front wheel; and a control unit electrically connected to the sensor unit and the storage unit, and storing the acceleration value of the front wheel in the storage unit, and estimating the acceleration value of a rear wheel by using the acceleration value of the front wheel, wherein the storage unit has a front wheel acceleration buffer, the front wheel acceleration buffer is constituted by several cells, and the several cells are distinguished by a distance index, and the control unit stores the acceleration value of the front wheel corresponding to the distance index in each of the several cells, and the acceleration value of the rear wheel is estimated as the acceleration value of the front wheel, which is stored in a cell positioned behind a location of the front wheel by a wheelbase distance.

A control system of a BBW device may include brake-by-wire (BBW) devices provided to each of wheels of a vehicle to perform a braking control or a suspension control of the vehicle, sensors configured for detecting an operating state of each of the BBW devices, and controllers connected to each of the BBW devices to control a corresponding BBW device among the BBW devices, in which the controllers are configured to determine whether the sensors fail according to data received from the sensors, and when determining that any a sensor among the sensors fails, the controllers turn off any a BBW device of the BBW devices which is a target detected by the failed sensor, and perform the braking control or the suspension control of the BBW devices based on a traveling state of the vehicle.

The present disclosure relates to a method and an apparatus for controlling an electronic control suspension using a deep learning-based road surface classification model. The method for controlling an electronic control suspension in a vehicle including a camera and a GPS receiver may include collecting location information of the vehicle using the GPS receiver while driving, identifying whether there is a previously generated road surface classification model corresponding to a front obstacle when the front obstacle is detected, determining a first control value based on a first characteristic value corresponding to the road surface classification model when there is the road surface classification model as a result of the identification, controlling the electronic control suspension with the determined first control value when entering the obstacle, and collecting new sensing data through a physical sensor, and correcting the first characteristic value based on the new sensing data.