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.

The present invention relates to a method for determining aging of a vehicle suspension arrangement (100) arranged between a frame and a wheel axle of a vehicle, said suspension arrangement (100) comprising a flexible bellows (102) for damping motions from said wheel axle, the method comprising the steps of determining a distance moved by a portion of the flexible bellows (102) when the suspension arrangement is exposed to an external load; determining a gas pressure level within said flexible bellows (102) when the portion of said flexible bellows (102) has moved said distance; determining a relationship between the determined gas pressure level within said flexible bellows and said distance moved by the portion of the flexible bellows; comparing the relationship with a predetermined threshold level; and determining that said flexible bellows is aged if a difference between the relationship and the predetermined threshold level is outside a predetermined threshold range.

A suspension system includes a spring assembly including a gas spring and an accumulator, and a controller. The accumulator is coupled to the gas spring and includes a bladder. The accumulator has a compressed state and an uncompressed state. The controller is configured to a) determine a target amount of gas in the spring assembly and b) adjust the amount of gas in the spring assembly towards the target amount of gas based on a pressure difference across the bladder.

Methods and apparatus to adjust vehicle suspension damping are disclosed herein. An example apparatus includes a sensor interface to obtain wheel position information and vehicle speed information from sensors associated with wheels of a vehicle and obtain throttle position information. The apparatus further includes a parameter analyzer to determine a compression damping command based on the wheel position information, the vehicle speed information, and the throttle position information and an instruction generator to adjust a damping system of the vehicle based on the compression damping command.

A controller includes: a noise reduction processing unit that acquires a sensor signal, which is based on an output from a sensor that detects time-series data and includes a noise, and that reduces the noise included in the sensor signal on the basis of a recurrent neural network trained so as to learn a correspondence relationship between a first signal including the noise corresponding to the sensor signal and a second signal indicating the first signal from which the noise has been removed; and a control processing unit that controls an actuator on the basis of an output from the noise reduction processing unit.

A vehicle height adjustment device includes a rear suspension, an electromagnetic valve control unit, and a weight estimation unit. The rear suspension includes a support member. The electromagnetic valve control unit determines a target movement based on an interrelation between the target movement and a weight applied to a vehicle, under which the target movement is set to an upper limit when the weight is larger than a predetermined weight, so that an actual movement of the support member reaches the target movement. The electromagnetic valve control unit determines the target movement based on a temporary weight. The weight estimation unit increases the temporary weight, even when the actual movement reached the target movement. The electromagnetic valve control unit decreases the target length, even when the temporary weight increased. The weight estimation unit estimates as the weight the temporary weight when the actual length has finally reached the target length.

A vehicle may include a sensor configured to acquire detecting data including front road surface information; a suspension including a spring and a damper; and a controller including a processor and a memory; wherein the controller is configured to identify an unevenness of the front road surface based on the detecting data and control the suspension based on damping force setting information corresponding to the unevenness when the vehicle reaches the unevenness.

The present disclosure provides a sway bar for a suspension system of a motor vehicle. The sway bar includes a first lever arm for attachment to a left wheel suspension component and a second lever arm for attachment to a right wheel suspension component. The sway bar further includes a torsion spring device in connection between the first lever arm and the second lever arm to provide variable torsional stiffness. The torsion spring device includes a first torsion bar, a second torsion bar, and a clutch connected to the first torsion bar and the second torsion bar. The clutch is configured to move between a disengaged position and an engaged position where both of the first and second torsion bars transmit torque between the first and second lever arms to provide torsional stiffness.

A frequency sensing system for a vehicle includes a shock absorber. The shock absorber has a frequency sensor configured to generate signals indicative of a shock frequency. The frequency sensing system includes a transmitter. The frequency sensing system includes an output device. The output device has a receiver for receiving the signals indicative of a shock frequency from the transmitter. One of the shock absorber and the output device is configured to compare the signals indicative of a shock frequency with a target frequency range. Further, the output device displays a notification when the shock frequency is outside of the target frequency range.

One or more systems, methods and/or non-transitory, machine-readable mediums are described herein for controlling a suspension system. An active suspension control system can comprise a memory that stores executable components, and a processor, coupled to the memory, that executes or facilitates execution of the executable components comprising a dynamics model generator that generates a bioinspired dynamics model and determines nonlinear dynamics for nonlinear suppression of vibration of an active suspension system, a fuzzy disturbance observer component that determines a lumped disturbance to the active suspension system by employing fuzzy variables absent determination of exact physical parameters of the active suspension system, and a controller that applies respective outputs of the dynamics model generator and the fuzzy disturbance observer component, in combination with a non-cancelled state-coupling term, to control the active suspension system to thereby cause the nonlinear suppression of the vibration of the active suspension system.