Provided is a wheel load estimation device configured to acquire wheel speed information of each wheel included in a vehicle from a wheel speed sensor provided in the vehicle; to calculate a front-rear load ratio and a left-right load ratio based on the wheel speed information; and to calculate a wheel load ratio expressing a relative wheel load between the wheels included in the vehicle, with respect to at least one wheel of the vehicle, based on the front-rear load ratio and the left-right load ratio. The front-rear load ratio is a ratio between a load applied to a front wheel of the vehicle and a load applied to a rear wheel of the vehicle, and the left-right load ratio is a ratio between a load applied to a left wheel of the vehicle and a load applied to a right wheel of the vehicle.

A system for weight monitoring includes a plurality of load sensors that are positioned between a deck floor and a frame mount of a truck, and distributed within a truck bed of the truck to sense a load distribution of a load applied on the truck bed to generate a load distribution data. Each of the load sensors includes a respective through hole load transducer, a respective bolt to fix the through hole load transducer to the truck, and a respective deck cross-member positioned on the load transducer to transfers a mechanical force generated by the load onto the through hole load transducer. The system also includes one or more cameras arranged above the truck bed to monitor a load movement of the load, and a microprocessor configured to receive the load distribution data, determine a vehicle operating parameter accordingly, and transmit the vehicle operating parameter to a vehicle controller.

A system and method for determining a roadway bank angle based on vehicle information. The method may include the steps of: obtaining vehicle information from at least one vehicle, the vehicle information is obtained from at least one of a global navigational satellite system (GNSS) receiver and one or more onboard vehicle sensors, and the GNSS receiver and the one or more onboard vehicle sensors are installed in the at least one vehicle; performing a roadway bank angle determination process using the obtained vehicle information to obtain a roadway bank angle; and updating a representative roadway bank angle based on the roadway bank angle.

An arithmetic model generation system includes a sensor information acquisition unit, a tire force calculator, and an arithmetic model update unit. The sensor information acquisition unit acquires acceleration of a tire. The tire force calculator includes an arithmetic model for calculating tire force F based on the acceleration, and calculates the tire force F by inputting the acceleration acquired by the sensor information acquisition unit. The arithmetic model update unit compares tire axial force measured by the tire and the tire force F calculated by the tire force calculator, and updates the arithmetic model.

A damper control method for a vehicle may achieve normal control of dampers by maintaining the ride comfort enhancement effect of the ECS while reducing manufacturing costs in accordance with a reduction in the number of sensors through elimination of wheel G-sensors.

A vehicle having an electric motor and a driving control method for the same are provided. The method of controlling regenerative braking torque of a motor of a vehicle, which is configured to transmit power of the motor to opposite side wheels via a differential gear, includes determining whether a curved road is present ahead of the vehicle. When the curved road is detected, the load to be applied to an inner wheel of the opposite side wheels is determined depending on lateral weight shifting on the curved road based on at least one of the curvature of the curved road or the vehicle speed. A grip of the inner wheel is determined based on the determined load and a regenerative braking limit is corrected based on the determined grip.

A method and a device for determining loads on vehicle's wheels, each with a tire, is disclosed. A deformation measured value and a pressure measured value for each tire, and at least one acceleration measured value for the vehicle are detected. For the respective wheels, dynamic wheel loads are calculated according to a first model and static wheel loads are calculated according to a second model. The second model comprises at least one model parameter calculated by statistical analysis of the calculated dynamic wheel loads, the calculated static wheel loads, and the detected at least one acceleration measured value. The at least one acceleration measured value is redetected and the dynamic wheel loads are recalculated from the previously calculated static wheel loads and the at least one detected acceleration measured value according to the second model using the previously calculated at least one model parameter of the second model.

A representation of a first set of weights associated with a vehicle prior to a drive are received, the vehicle including a plurality of axles, a plurality of wheels attached to the plurality of axles, and a load. A warning is caused to be output in response to at least one weight from the first set of weights being outside a predetermined range. Longitudinal and lateral dynamics associated with the vehicle during the drive are determined. A second set of weights associated with at least one axle from the plurality of axles during the drive are determined. A determination is made if at least one remedial action should be performed based on the longitudinal dynamics, the lateral dynamics, and the second set of weights. In response to determining that the at least one remedial action should be performed, the at least one remedial action is caused to be performed.

A method for identifying vehicle load distribution includes the steps of: detecting a speed and longitudinal acceleration of the vehicle; when the longitudinal acceleration is less than an acceleration threshold, acquiring a driving force of the vehicle; obtaining, by a processor, a pitch angle of the vehicle according to the driving force and the vehicle speed; and obtaining, by the processor, load distribution of the vehicle according to the pitch angle.

Provided is a travel evaluation method of making an evaluation related to travel of a vehicle capable of traveling in a leaning position, the method including: obtaining a tire force which is an external force exerted on a wheel of the vehicle from a ground surface; and deriving an evaluation index related to travel of the vehicle. The evaluation index includes a positive evaluation index as a rating of a positive evaluation related to travel of the vehicle. In deriving the evaluation index, the positive evaluation index is set higher as the tire force increases, and the evaluation index is corrected based on an influential parameter other than the tire force.