Disclosed is an automatic vehicle suspension tuning system. The system has a control module to receive user input, an ECU with a processor and a memory, one or more road condition sensors, and one or more controllable suspension system components. The ECU controls the adjustments of the controllable suspension system component in response to user input to the control module as well as input from the road condition sensors during operation of the vehicle. A method of tuning a controllable suspension system component is also disclosed.

A method for controlling axle load distribution of a heavy-duty vehicle during a maneuver, wherein the heavy-duty vehicle comprises a number of wheel axles and one or more motion support devices arranged to adjust a relative axle load of one or more wheel axles of the number of wheel axles, the method comprising obtaining a vehicle model and a tire model, wherein the vehicle model and the tire model are jointly configured to predict a tire scrubbing force in dependence of a vehicle state comprising a relative axle load distribution during the maneuver, determining a nominal tire scrubbing force for a current relative axle load distribution, determining an improved relative axle load distribution maneuver associated with a reduced tire scrubbing force compared to the nominal tire scrubbing force, and controlling the one or more motion support devices to provide the improved relative axle load distribution during the maneuver.

An apparatus of controlling damping force through road frequency classification may include high pass filters configured to perform high-pass filtering of detecting values of wheel vibration input from wheel vibration sensors according to different cutoff frequencies, a main frequency extraction module configured to determine a main frequency of the wheel vibration based on filtered values output from the high pass filters, a maximum amplitude and amplitude ratio extraction module configured to determine a maximum amplitude and an amplitude ratio of the wheel vibration based on the filtered values, a road gripping force control determination module configured to determine whether or not road gripping force is to be controlled based on the determined main frequency and the determined maximum amplitude and amplitude ratio, and a damper control module configured to determine the damping force of dampers of a vehicle based on results of determination and road roughness.

Disclosed is an automatic vehicle suspension tuning system. The system has a control module to receive user input, an ECU with a processor and a memory, one or more road condition sensors, and one or more controllable suspension system components. The ECU controls the adjustments of the controllable suspension system component in response to user input to the control module as well as input from the road condition sensors during operation of the vehicle. A method of tuning a controllable suspension system component is also disclosed.

A system and method for adjusting a drivetrain comprising an e-axle on a vehicle comprises accessing route data and compressing the route data into a plurality of linearized segments. Each segment is determined by analyzing points along the route to determine when a set of route data points indicates an uphill, downhill, or flat segment. Using the segments, drivetrain configuration information for a vehicle and a weight of the vehicle, embodiments determine a performance plan that is tailored to the vehicle, including raising the e-axle to reduce rolling resistance on some segments and lowering the e-axle for some segments for increased power for acceleration, improved braking, or increased regenerative capabilities.

A road surface friction coefficient estimation apparatus for a vehicle includes: a first estimator; a second estimator; and a third estimator. The first estimator estimates a first road surface friction coefficient on a basis of a vehicle information acquired from the vehicle. The second estimator estimates a second road surface friction coefficient on a basis of an external information acquired from an outside of the vehicle. The third estimator estimates a road surface friction coefficient from the first road surface friction coefficient and the second road surface friction coefficient on a basis of a first reliability degree and a second reliability degree, the first reliability degree indicating a reliability of the first road surface friction coefficient, the second reliability degree indicating a reliability of the second road surface friction coefficient.

A method of calculation a vehicle load comprising a first vehicle load value based at least on air pressures in air springs and height data of suspension of a vehicle axle, determining a second vehicle load value based on a change of track width of the vehicle axle, and calculating the vehicle load based on the first vehicle load value and the second vehicle load value.

The present disclosure discusses a method of operating a vehicle having a set of tires and an active suspension system. The method includes operating the vehicle to travel along a road surface, sensing, using a smart tire assembly, a magnitude of one or more physical quantities associated with at least one tire of the set of tires, and controlling the active suspension system of the vehicle based at least in part on the magnitude of the sensed one or more physical quantities.

The present invention relates to a control unit for determining a value indicative of a load bearing capability of a ground segment supporting a vehicle. The control unit is configured to issue a control signal to the vehicle to thereby impart a motion change of the vehicle, and receive response information from the vehicle indicative of the vehicle's response to the imparted motion change. The control unit is further configured to, based on the response information, determine a vertical position change of at least one wheel of the vehicle, and based on the determined vertical position change and the imparted motion change, determine the value indicative of the load bearing capability of the ground segment.

The invention relates to a method for determining a parameter indicative of a road capability of a road segment (18) supporting a vehicle (10). The vehicle (10) comprises a plurality of ground engaging members (12, 14, 16, 38, 40, 42). The method comprises: —for each ground engaging member (14, 42) in a sub-set of the plurality of ground engaging members (12, 14, 16, 38, 40, 42), setting a contact force (N.sub.14,S, N.sub.42,S) between the ground engaging member (12, 14, 16, 38, 40, 42) and the road segment (18); —determining a target global load vector (G) to be imparted to the vehicle (10), the target global load vector (G) comprising at least a vertical load and an inclining moment, —determining contact forces (N.sub.12, N.sub.16, N.sub.38, N.sub.40) for the ground engaging members (12, 16, 38, 40) of the plurality of ground engaging members (12, 14, 16, 38, 40, 42) which are not in the sub-set such that the contact forces (N.sub.12, N.sub.14,S, N.sub.16, N.sub.38, N.sub.40, N.sub.42,S) for the plurality of ground engaging members (12, 14, 16, 38, 40, 42) together result in a resulting global load vector (R), a difference measure (DM) between the resulting global load vector (R) and the target global load vector (G) being equal to or lower than a predetermined difference measure threshold, —applying the contact force (N.sub.12, N.sub.14,S, N.sub.16, N.sub.38, N.sub.40, N.sub.42,S) to each ground engaging member of the plurality of ground engaging members (12, 14, 16, 38, 40, 42), —for at least one ground engaging member (14, 42) in the sub-set, determining a parameter indicative of the road capability of the road segment (18) associated with the ground engaging member (14, 42).