Abstract:
Systems and method for assigning vehicle suspension dynamics are disclosed. Control signals that correspond to a current driving dynamic of a suspension system of a vehicle are generated. A vehicle state associated with the generated control signals is computed and a non-traditional suspension mode is selected. Based on the computed vehicle state and the selected suspension mode, a suspension height of the vehicle is adjusted.
Abstract:
A vehicle includes a plurality of water level sensors, for example comprising capacitive or resistive sensors, from the outputs of which can be determined vehicle orientation when wading. In conjunction with a vehicle orientation sensor, the outputs from any one water level sensor permits calculation of water depth at any point on the vehicle body.
Abstract:
A method of controlling an HMI-apparatus for providing information comprising comparing data from two or more remote-ranging sensors disposed at an elevation greater than the threshold wading depth of the vehicle.
Abstract:
A vehicle (100) comprises a plurality of water level sensors, for example comprising capacitive or resistive sensors, from the outputs of which can be determined vehicle orientation when wading. In conjunction with a vehicle orientation sensor, the outputs from any one water level sensor permits calculation of water depth at any point on the vehicle body.
Abstract:
A hydraulic system for lowering the ride height of a vehicle includes at least one hydraulic shock mounted to the suspension of the vehicle. Each of the hydraulic shocks has a floating bearing in the hydraulic shock, and an inlet. The inlet is hydraulically connected to a central manifold that is adapted to move fluid into and out of the hydraulic shock for moving the floating bearing in each of the hydraulic shocks. When the floating bearing is moved in the hydraulic shock, the hydraulic shock shortens thereby lowering the ride height of the vehicle.
Abstract:
A vehicle (100) comprising a wading information display (1020), a memory and a processor, the memory containing a program configured to run on the processor to calculate the maximum wading depth of the vehicle from the measured suspension travel, and to display the maximum wading depth on the display. The display may also show a dual wading depth, an advisory wading speed, and vehicle inclination.
Abstract:
A moving mechanism for running stably, with keeping a car frame horizontal even on a road surface inclined, while absorbing disturbances from unevenness on the road surface, comprises a car frame attached with wheels for running, wherein each of the wheels is attached to a car body through a swing arm, and an appropriate control is made on an inclination of a table rotatable in pitch/roll directions, to which coil springs for supporting the swing arms, respectively, are suspended; thereby achieving the moving mechanism for running stably, with keeping the car frame horizontal.
Abstract:
An active suspension system and method for controlling the height of a vehicle. In an exemplary embodiment, the active suspension system receives information from one or more input sources, including both internal and external vehicle inputs, and uses that information to actively control the vehicle height. By doing so, the active suspension system can reduce aerodynamic drag on the vehicle and improve the vehicle's fuel economy, ride comfort, handling, and other aspects of operation. Some examples of external vehicle inputs that may be used include: short-range road and vehicle information, as well as long-range traffic, road and route information.
Abstract:
An anti-rollover system including a processor, a side impact sensor in communication with the processor, and a controllable suspension-based system and/or a controllable brake-based system in communication with the processor, wherein the controllable suspension-based system and/or the controllable brake-based system is actuated when the side impact sensor detects a side impact.
Abstract:
A risk potential calculating device for a vehicle, comprises a state recognition device that detects vehicle conditions of a subject vehicle and a traveling environment for vehicle surroundings; and a risk potential calculator that calculates a risk potential for the vehicle surroundings based on detection results of the state recognition device. The risk potential calculator calculates the risk potential by respectively calculating a first risk potential expressing a risk in a case where driving conditions of the subject vehicle are in a steady state and a second risk potential expressing a risk for a case where driving conditions of the subject vehicle are in a transient state, and adding the first risk potential weighted by a first coefficient and the second risk potential weighted by the second coefficient.