A vehicle height adjusting apparatus according to one aspect includes: a vehicle height adjusting member that adjusts height of a seat of a saddle-type vehicle, using hydraulic pressure; an oil supplying portion that supplies oil to the vehicle height adjusting member, using a motor; and a control section that estimates a load applied to the vehicle height adjusting member, from a current supplied to the motor and a stroke correspondence quantity of the vehicle height adjusting member, and controls the oil supplying portion based on the load to adjust the height of the seat.

Vehicle body tilt, representing a difference between a vehicle body frame of reference and a wheel-base frame of reference, is determined by obtaining information from sensor assemblies for the vehicle body and for the wheel-base. Navigational solutions are generated for the sensor assemblies using motion sensor data from the assemblies and absolute navigational information. Correspondingly, vehicle body tilt is determined based at least in part on the vehicle body navigation solution and the wheel-base navigation solution.

Methods and systems for estimating an axle load of a vehicle are described. In one example, a method is disclosed wherein axle load is estimated in response to an angle between two components of an axle. The angle may change as weight is added to or removed from the axle such that axle load may be determined as a function of the angle.

Disclosed is a load detection device and method using the same. In one example, the device includes a height-level measuring unit configured to determine a height level of a vehicle and to generate at least one height-level signal that characterizes the height level. A position-measuring unit is configured to determine the position of the vehicle relative to the mid-point of the earth and to generate at least one position signal that characterizes the vehicle position. An evaluation unit is coupled to the height-level measuring unit and to the position-measuring unit. The evaluation unit is configured to determine a mass of a load of the vehicle, taking into account the height-level signal(s) and the position signal(s). The device can be used to determine the mass of the load, which may include a number of persons.

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.

A method for operating a pneumatic system having a compressed air supply system and an air spring system includes determining at least one deflection of at least one air spring of the pneumatic system. The air spring is configured to be connected to a gallery in a selectively gas-conveying manner via a valve. The method further includes determining at least one bellows volume of a spring bellows of the at least one air spring based on the at least one determined deflection, indicating a pneumatic surrogate model for the at least one bellows volume and/or for a pressure accumulator volume of a pressure accumulator of the pneumatic system based on a mass flow balance for a balance volume, and calculating, based on the pneumatic surrogate model, at least one pressure value of the at least one bellows volume, the pressure accumulator volume, and/or the balance volume.

In some examples, a vehicle suspension for supporting, at least in part, a sprung mass, includes a damper connected to the sprung mass, the damper including a movable piston. The vehicle suspension further includes an actuator and a controller. The controller may be configured to determine a frequency of motion associated with the sprung mass. When the frequency of motion is below a first frequency threshold, the controller may send a control signal to cause the actuator to apply a deceleration force to the sprung mass. Further, when the frequency of motion associated with the sprung mass exceeds the first frequency threshold, the controller may send a control signal to cause the actuator to apply a compensatory force to the sprung mass. For instance, a magnitude of the compensatory force may be based on a friction force determined for the damper.

A weight sensing assembly for a semi-trailer truck enabling balancing of a load includes a sensing module, which is one of a plurality thereof. The sensing modules are mountable to wheels of the semi-trailer truck so that each axle has a sensing module engaged to outside wheels thereof. The sensing module obtains a pressure measurement of a tire engaged to the wheel and transmits it to an electronic device. Programming code on the electronic device enables it to utilize a pressure change, upon positioning of a load upon the semi-trailer truck, to determine a weight that is positioned upon an associated axle. The electronic device calculates adjustments to positions of a sliding fifth wheel and of sliding tandems of the semi-trailer truck to obtain positions thereof that will achieve a legal weight distribution of the load. The electronic device presents, upon a screen thereof, the adjustments to a user.