A suspension monitoring and adjustment system for an off-road vehicle includes a distance sensor arranged to measure shock displacement of a suspension of the vehicle. The system may include an output device configured to output shock displacement data generated by the distance sensor and a processor or programmable circuit operable to produce a visual representation of the shock displacement data output by the output device. The system may include a processor or programmable circuit operable to generate an adjustment signal based on shock displacement data generated by the distance sensor and a suspension adjuster arranged to adjust the suspension of the vehicle in response to the adjustment signal.

A control unit arranged to monitor a load distribution of a vehicle when the vehicle is in motion, the control unit comprising an interface arranged to receive a plurality of load values associated with one or more vehicle axles and/or one or more vehicle wheels from a plurality of load sensors arranged on the vehicle, wherein the control unit is arranged to determine a vehicle load distribution based on the plurality of load values, to compare the determined vehicle load distribution to a pre-determined allowable vehicle load distribution, and to trigger an emergency procedure in case the determined vehicle load distribution differs from the pre-determined vehicle load distribution by more than an allowable amount.

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.

A vehicle includes a frame, a body supported by the frame, a prime mover mounted to the frame, at least one axle connected to the frame, a suspension system connecting the at least one axle to the frame, and a load sensing and control system including at least one load sensor connected to the suspension system and a controller operatively connected to the at least one load sensor and the prime mover. The controller being operable to calculate a vehicle loading factor before the vehicle moves and to prevent operation of the prime mover if the vehicle loading factor that exceeds a selected load threshold.

A wireless active suspension system is disclosed. The system includes at least one sensor mounted to an unsprung mass of a vehicle, the sensor having a low power wireless communication capability, the at least one sensor to send a sensor data transmission. The system also includes a controller in wireless communication with the at least one sensor, wherein the controller receives the sensor data from the at least one sensor and communicates an adjustment command to modify at least one damping characteristic of at least one damper.

A vehicle includes a frame, a body supported by the frame, a prime mover mounted to the frame, at least one axle connected to the frame, a suspension system connecting the at least one axle to the frame, and a load sensing and control system including at least one load sensor connected to the suspension system and a controller operatively connected to the at least one load sensor and the prime mover. The controller being operable to calculate a vehicle loading factor before the vehicle moves and to prevent operation of the prime mover if the vehicle loading factor that exceeds a selected load threshold.

A method for checking status of a vibration damper of a motor vehicle includes selecting a suitable section of a roadway, via processing circuitry at a server, based on section selection criteria comprising a number of passing vehicles, a data input sufficient for correlation analyses of the vibration damper, and homogeneity of the roadway. The method further includes acquiring data from a plurality of other vehicles while the other vehicles are driving through the section, grouping data items from the acquired data that are specifically associated with vibration damper status, classifying the status of the vibration damper based on the data items, and informing the driver about the status of the vibration damper. The data on the number of the other vehicles may include data indicative of other vehicle vibration dampers in new condition defining reference values for a degree of wear of the vibration damper.

A vibration damping control apparatus of a vehicle obtains first data from a road surface information in which position information, a road surface displacement related value, and speed information are rerated to one another. The first data represents a time series change of the road surface displacement related value on a predicted route of a wheel. The vibration damping control apparatus obtains speed information at a predicted passage position from the road surface information. In the case where the speed of the vehicle at the present point in time is higher than a speed represented by the speed information, the vibration damping control apparatus executes a first process (low-pass filter process) on the first data, obtains preview information from the first data having been subjected to the first process, and controls a control force generating apparatus on the basis of a target control force computed by using the preview information.

A damping control system comprises a first vehicle, a second vehicle, and a storage device. The first vehicle provides, to the storage device, travel information including a change value of a road surface, position information, and position reliability of the position information. The storage device executes first update processing of updating related value information based on a road surface displacement-related value identified based on the change value, when the position reliability is equal to or higher than a threshold reliability, and executes second update processing of updating the related value information, when the position reliability is lower than the threshold reliability. The second vehicle executes preview damping control using a target control force calculated based on a control related value being a road surface displacement-related value at a predicted passing position.

A real-time commercial vehicle weight loading system is disclosed. The system employs a number of vehicle weight sensors, configured to provide vehicle weight data for a respective zone of the vehicle. The system may also utilize at least one cargo weight sensor to provide weight data of not-yet loaded cargo. A system controller is in communication with the weight sensors and is configured to, upon receiving cargo to be loaded information, send an indication of optimal cargo placement including identifying the cargo to be loaded, the location on the vehicle the cargo is to be loaded, and monitoring the loading of the vehicle. This same system may also provide total vehicle weight and broadcast real-time vehicle weights when pinged by a query device, which will allow for uninterrupted transit of the vehicle and cargo. This system may also provide data for improved vehicle stability.