An ATV is disclosed having a frame and a plurality of wheels. A power train is defined by an engine, transmission and front and rear final drives. The engine is mounted to the frame skid plate by way of die cast legs. The transmission may include a CVT, which includes a cooling system to cool the interior of the CVT. The cooling system include a fan positioned on the driven clutch causing a reverse suction air flow, back through the drive clutch, with the air exhausting at the front of the engine.

All-terrain vehicle

A damping control system for a vehicle having a suspension located between a plurality of ground engaging members and a vehicle frame includes at least one adjustable shock absorber having an adjustable damping characteristic. The system also includes a controller coupled to each adjustable shock absorber to adjust the damping characteristic of each adjustable shock absorber, and a user interface coupled to the controller and accessible to a driver of the vehicle. The user interface includes at least one user input to permit manual adjustment of the damping characteristic of the at least one adjustable shock absorber during operation of the vehicle. Vehicle sensors are also be coupled to the controller to adjust the damping characteristic of the at least one adjustable shock absorber based vehicle conditions determined by sensor output signals.

Vehicle having suspension with continuous damping control

The invention relates to an optimal damping control algorithm of a continuous-control-type semi-active suspension system, and the optimal damping control algorithm is researched and developed for meeting the taking comfort of people and automobile driving safety requirements well. The control algorithm comprises the following steps of: measuring automobile body vibration acceleration signals, automobile speed signals and rotation angle signals by utilizing a sensor; sensing the automobile driving road condition and suspension system damping ratio according to the signals measured by the sensor; according to the measured automobile body and automobile wheel vibration acceleration, obtaining the automobile body and automobile wheel vertical motion speed and the relative motion speed between an automobile body and automobile wheels; determining the optimal damping coefficient and the damping force of a shock absorber required under the current automobile speed and road condition according to automobile parameters, outputting stepping motor rotation angle control signals through a controller, and controlling and regulating the area of the damping throttling hole of a controllable shock absorber, so that the semi-active suspension system achieves the required optimal damping and damping force. The semi-active suspension optimal damping control algorithm provided by the invention is simple and easy to implement, has low requirements for the dynamic property of an actuating element, and is beneficial to the applications and popularization of the semi-active suspension.

Real-time optimal damping control algorithm of automobile semi-active suspension system

The invention relates to a gravitational acceleration sensor based road surface flatness detection method which comprises the following steps: determining the detection vehicle speed, a gravitational acceleration sensor and a sampling frequency; using different models of test vehicles to run on roads with different road surface flatness to obtain gravitational acceleration values of the gravitational acceleration sensor; performing Fourier transform on the collected gravitational acceleration values to obtain power spectral density; establishing a fitting model of the power spectral density of same model of test vehicles and IRI (international roughness index); performing general applicability tests on the fitting model of the same model of test vehicles to obtain a fitting model of the power spectral density of the different models of test vehicles and the IRI; performing general applicability tests on the fitting model of the power spectral density of the different models of test vehicles and the IRI; and according to a universal fitting model and the collected gravitational acceleration values, performing road surface flatness detection. Compared with the prior art, the road surface flatness detection method based on the gravitational acceleration values can solve the problems that a laser flatness detection vehicle in the prior art is expensive and is complicated in detection process.

Gravitational acceleration sensor based road surface flatness detection method

The invention relates to a control algorithm of an automotive magneto-rheological semi-active suspension system and real-time optimal current, and belongs to the technical field of dampers. The control algorithm is characterized by comprising the steps that damping characteristics of a magneto-rheological damper and the semi-active suspension system are simulated according to the currently measured current; the current running road condition of an automobile is identified according to the running speed and the vibration acceleration of an automobile body; a real-time optimal damping ratio of the semi-active suspension system and an optimal Coulomb damping force of the magneto-rheological damper are determined according to the current running road condition, and speed and suspension parameters; and the real-time optimal control current of the automotive magneto-rheological semi-active suspension under the current running working condition is calculated according to relations among the Coulomb damping force, a structure parameter, a magneto-rheological liquid characteristic parameter, the turn number of an electromagnetic coil and the current. According to the control algorithm, a design level and the performances of the magneto-rheological semi-active suspension system can be raised and improved; design and testing expenses are lowered; and the running smoothness and the safety of the automobile are improved.

Control algorithm of automotive magneto-rheological semi-active suspension system and real-time optimal current

The semi-active suspension awning damp control algorithm for vehicle speed and road inducing automobile includes the following steps: 1. determining the off-line simulation result of awning damp control coefficient under fixed vehicle speed and different road levels; 2. estimating the road unevenness grade with the road detector and based on the vertical acceleration of the spring carried mass and the vehicle speed; 3. optimizing the gain and interpolating to obtain the awning damp control coefficient of the current road and current vehicle speed; 4. estimating the vertical speed of the spring carried mass and the relative speed between the spring carried mass and the non-spring carried mass; 5. obtaining the required vibration isolator damping force; and 6. introducing force saturating function based on the experiment data of vibration isolator and correcting the vibration isolator damping force obtained in the foregoing step.

Semiactive suspension awning damp control algorithm for vehicle speed and road inductive automobile

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Semiactive suspension awning damp control algorithm for vehicle speed and road inductive automobile