A method of determining the level of quality of a road from an electronic measurement unit mounted in a wheel of a motor vehicle traveling on the road. The electronic measurement unit includes at least one sensor able to measure the vibrations perceived by the tread of the tire of said wheel. The method includes measuring, using the sensor, the vibrations perceived by the tread of the tire of the wheel, calculating the strength of the vibrations measured at a predetermined vibrational frequency referred to as the distinguishing frequency, comparing the calculated strength with predetermined strength values contained in a table stored in a memory zone, which are characteristic of various road quality levels, and determining the level of quality of the road from the comparison made.

The present disclosure relates to systems and methods for identifying a risky driving behavior of a driver. The systems may obtain driving data from sensors associated with a vehicle driven by a driver determine, based on the driving data, a target time period; obtain, based on the driving data, target data within the target time period; and identify, based on the target data, a presence of a risky driving behavior of the driver.

A system includes obtaining a plurality of automobile part sets through classification based on at least one of the following factors an interface type of an interface of an automobile part, a transmission type used by the automobile part to transmit data, a manufacturer of the automobile part, a type of the automobile part, a safety level of the automobile part, a service type of a service to which data transmitted by the automobile part belongs, or a service level of the service to which the data transmitted by the automobile part in the automobile belongs.

A motor vehicle is disclosed having an internal combustion engine and an integrated starter-generator drivingly connected to a crankshaft of the internal combustion engine by a belt drive. Operation of the internal combustion engine and the integrated starter-generator is controlled by an electronic controller in response to a number of inputs. The electronic controller is arranged to use the internal combustion engine and the integrated starter-generator to actively reduce driveline shuffle in one of a number of shuffle reduction modes that are selected by the electronic controller based on at least the current rotational speed of the internal combustion engine.

A vehicle control device for a vehicle, the vehicle including a rotation lock mechanism preventing rotation of a coupling portion on the engine side of the rotating member in at least one direction, and an engine rotation speed sensor detecting a rotation speed of the engine, includes: a characteristic detecting portion detecting at least a torsional rigidity as the rotational characteristic by applying a torque to the rotating member from the electric motor to measure a twist angle of the rotating member while the rotation of the coupling portion is prevented by the rotation lock mechanism; and an engine rotation filtering portion calculating an actual resonance frequency based on the torsional rigidity detected by the characteristic detecting portion and filtering an engine rotation speed signal supplied from the engine rotation speed sensor to attenuate a vibration component of the actual resonance frequency in the engine rotation speed signal.

When information related to road surface conditions is conveyed from a vehicle body side system to a tire-mounted sensor and the tire-mounted sensor determines the road surface condition, an integrated voltage value is corrected based on the information related to the road surface condition. It is thus possible to estimate the road surface condition more accurately. Furthermore, in as much as the road surface condition is estimated at each tire-mounted sensor, the road surface condition can be estimated for each wheel.

Disclosed herein are a method and apparatus for recognizing driving information using multiple sensors. The method for recognizing driving information according to an embodiment of the present disclosure includes generating a magnetic sensing signal from magnetic paint applied to road markings, generating a frequency-converted signal using the magnetic sensing signal, and generating driving information for a vehicle using the frequency-converted signal.

An abnormality determination device is applied to a vehicle provided with a transmission configured to transmit power by rotation of a shaft. The abnormality determination device includes a processor and a memory. The memory configured to store mapping data that is data that defines mapping learned by machine learning. The processor is configured to execute an acquisition process and a determination process. The acquisition process is a process of acquiring a variable indicating a time-series data of a rotation speed of the shaft and using the variable as a value of an input variable of the mapping. The determination process is a process of determining whether an abnormality has occurred in the transmission based on a value of the output variable acquired using the value of the input variable and the mapping.

The present disclosure relates to an apparatus and a method for active vibration control of a hybrid electric vehicle. Exemplary forms provide a method for active vibration control of a hybrid electric vehicle that may include detecting an engine speed or a motor speed; selecting a reference angle signal based on position information of a motor or an engine; establishing a period of fast Fourier transform (FFT) and performing FFT of the engine speed or the motor speed corresponding to the period of the FFT from the reference angle signal; establishing a reference spectrum according to an engine speed and an engine load; extracting a vibration components to be removed based on information of the reference spectrum; summing vibration components to be removed according to the frequencies and performing inverse FFT; determining an amplitude ratio according to the engine speed and the engine load; determining an adjustable rate such that a speed change amount of the engine is increased as an anti-phase torque is increased; and performing active vibration control of each frequency based on the information of the basic amplitude ratio, the adjustable rate, and the engine torque.

The present disclosure relates to an apparatus and a method for active vibration control of a hybrid electric vehicle. Forms of the present disclosure may provide a method for active vibration control of a hybrid electric vehicle that may include detecting an engine speed or a motor speed; selecting a reference angle signal based on position information of a motor or an engine; setting up a period of fast Fourier transform (FFT) and performing FFT of the engine speed or the motor speed corresponding to the period of the FFT from the reference angle signal; setting up a reference spectrum according to an engine speed and an engine load; extracting a vibration components to be removed based on information of the reference spectrum; summing vibration components to be removed according to the frequencies and performing inverse FFT; determining an amplitude ratio according to the engine speed and the engine load; and performing active vibration control of each frequency based on the information of the amplitude ratio and the engine torque.