An apparatus of controlling a gear shifting of a vehicle, and a method thereof, to improving shift quality by minimizing the jerk generated in a shifting process of the vehicle, includes storage that stores a Gaussian process (GP) model on which machine learning is completed, and a controller that detects a change amount of engine torque and a change amount of an engagement-side clutch torque based on the GP model, and controls the gear shifting of the vehicle according to the change amount of the engine torque and the change amount of the engagement-side clutch torque.

Desired is a control device for a vehicle drive apparatus capable of determining an engagement failure in an engagement device when shifting a transmission device to a neutral state and making the rotational speed of a driving force source reduced. In order to shift a transmission device from a state in which an object shift speed is established and the vehicle is traveling to a neutral state in which no shift speed is established in the transmission device (#02), when an object engagement device is disengaged while maintaining engagement of a non-object engagement device and the rotational speed of a driving force source (#04, #06) is made to be reduced, an engagement failure in the object engagement device (#02, #07) is determined based on a change in the rotational speed of an input member.

Various methods and systems are provided for a shift assembly for a vehicle transmission. In one example, a shift assembly for a transmission includes a first barrel cam including a first cam track; a second barrel cam arranged coaxially with the first barrel cam and including a second cam track; a first motor configured to drive the first barrel cam independent of the second barrel cam; and a second motor configured to drive the second barrel cam independent of the first barrel cam.

An oil pressure estimation device for calculating an estimated differential pressure that is an estimated value of a differential pressure between two oil chambers generated in a torque converter including the two oil chambers and a lockup clutch includes a storage device and an execution device. The storage device stores mapping data defining a mapping, the mapping outputting as an output variable an estimated differential pressure variable indicating the estimated differential pressure, in response to input of an input variable, and the mapping having been trained by machine learning. The mapping includes an instruction differential pressure variable indicating the instruction differential pressure as one of a plurality of the input variables. The execution device executes an acquisition process of acquiring a value of the input variable and a calculation process of inputting the value of the input variable into the mapping to calculate a value of the output variable.

A shift device includes: a shift switching member including a plurality of valley portions corresponding to shift positions; a motor that includes a rotor and a stator and that is configured to drive the shift switching member; and a positioning member configured to establish the shift positions in a state in which the positioning member is fitted into any one of the plurality of valley portions of the shift switching member. The shift device is configured to learn the shift positions based on a change amount of a load torque applied to the motor while the positioning member is moved to continuously pass through the plurality of valley portions.

In a vehicle equipped with an engine and a shift control mechanism that switches a shift position by rotating a detent plate with an electric actuator, an electronic control device is an electronic control device including a reference position learning unit that executes a learning of a reference position of the actuator that serves as a reference for switching the shift control mechanism by the actuator when a starting condition that is set in advance is satisfied, and includes a drive wheel rotation suppression unit that suppresses a rotation of a drive wheel of the vehicle while the learning of the reference position is being executed by the reference position learning unit.

An apparatus of controlling a pulley of a continuously variable transmission and a method therefore is provided. The apparatus includes a non-transitory storage configured for storing a deep learning model, learning of which is completed and a controller that predicts a vehicle speed and an accelerator position sensor (APS) value for each future time point based on the deep learning model and controls the pulley of the continuously variable transmission based on a pulley ratio for each future time point, the pulley ratio corresponding to the predicted vehicle speed and the predicted APS value, thus preventing a reverse control phenomenon of the pulley ratio and increasing a tension of the belt in the continuously variable transmission.

An apparatus and a method for controlling a transmission of a vehicle include an agent that determines a gear stage of the vehicle based on driving information of the vehicle, shape information of a road, and/or operation information of a driver, and include a controller that performs a reward with respect to the determination of the agent and controls the transmission of the vehicle based on the gear stage determined by the agent.

A method for determining reference values of a sensor corresponding to a disengaged operating condition or to an engaged operating condition of a hydraulically actuatable, form-locking shift element (A, F), where at least one operating parameter of the form-locking shift element (A, F) is detected with the sensor during a disengagement and during an engagement of the form-locking shift element (A, F). The method may include subdividing an operating range of the shift form-locking element (A, F) into temperature and pressure classes. The method may further include determining a deviation between a current reference value for a temperature and pressure class of the temperature and pressure classes and an adapted reference value previously determined for the temperature and pressure class. Additionally, the method may include increasing or decreasing the adapted reference value by a predefined increment based on the deviation.

An apparatus of controlling a pulley of a continuously variable transmission and a method therefore is provided. The apparatus includes a non-transitory storage configured for storing a deep learning model, learning of which is completed and a controller that predicts a vehicle speed and an accelerator position sensor (APS) value for each future time point based on the deep learning model and controls the pulley of the continuously variable transmission based on a pulley ratio for each future time point, the pulley ratio corresponding to the predicted vehicle speed and the predicted APS value, thus preventing a reverse control phenomenon of the pulley ratio and increasing a tension of the belt in the continuously variable transmission.