A fault evaluation device for an automatic transmission evaluates a fault of the automatic transmission. The fault evaluation device is used for a vehicle having the automatic transmission and a control device configured to execute a learning process for correcting a target pressure for oil to be supplied to the automatic transmission such that variations in acceleration of the vehicle during shifting of the automatic transmission are small. The fault evaluation device includes a processor and a memory. The memory stores mapping data that prescribe mapping. The processor is configured to output an output variable, which is an evaluation value that indicates the presence or absence of the fault of the automatic transmission, when an input variable is input.

An apparatus and a method for controlling a transmission of a vehicle may include a determining device configured to determine whether a curved road is present within a predetermined distance in front of the vehicle, based on information on a front road, a calculating device configured to correct, based on information on a gradient of the curved road, a vehicle speed in starting cornering of the vehicle on the curved road, determine an expected lateral acceleration based on the corrected vehicle speed and information on a curvature of the curved road, and determine a pattern correcting coefficient based on the determined expected lateral acceleration, a pattern correcting device configured to correct a gearshifting pattern of the transmission, which is preset, based on the pattern correcting coefficient, and a control device connected to the determining device, the calculating device and the pattern correcting device and configured to control the transmission based on the corrected gearshifting pattern when the vehicle enters the curved road.

A method of controlling engine on of a hybrid vehicle, may include determining, by a controller, a shift pattern of the vehicle between multiple regions; deriving, by the controller, a shifting possibility of the vehicle from each of the regions; and deriving an engine-on strategy of the vehicle on the basis of the derived shifting possibility, and controlling an engine of the vehicle to be on or off in accordance with the derived engine-on strategy.

A shift range control device includes an encoder count unit, an energization control unit, a learning unit, an energization phase count unit, and an abnormality determination unit. The encoder count unit calculates an encoder count value based on an encoder signal. The energization control unit controls energization to the motor. The learning unit learns a wall position that is the encoder count value when an engaging member abuts on the wall portion. The energization phase count unit calculates an energization phase count value that is counted according to switching of the energization phase. The abnormality determination unit determines an abnormality of the encoder based on the energization phase count value and the encoder count value before and after learning the wall position.

An apparatus and a method for controlling a transmission of a vehicle includes storage that stores a dual clutch transmission (DCT) dynamic model and a machine learning-based Gaussian process (GP) model, and a controller configured for determining a first engine torque used for optimal shifting according to the DCT dynamic model, determines an engine torque compensation value according to the machine learning-based GP model, and controls a shifting of the vehicle according to the first engine torque compensated by the engine torque compensation value.

A method for learning a reference position of a DCT gear motor is proposed. The method includes: a first voltage supply step of supplying voltage to the motor to allow the motor to rotate to a stored reference point; a second voltage supply step of repeating a process that increases the level of the voltage supplied to the motor to a higher level than the level of the voltage applied in the first voltage supply step and decreases the level, wherein the voltage is supplied to the motor to gradually increase the level thereof; a step of monitoring a position change of the motor; a step of stopping voltage supply to the motor when a temporary position change is generated in the motor to remove the temporary position change; and a step of setting the current position of the motor as a new reference point.

Methods for automated calibration and adaption of a gearshift controller (39) are disclosed. In one aspect, the method automates calibration a gearshift controller (39) for controlling a sequence of gearshifts in either a stepped automatic transmission equipped with at least one speed sensor mounted on a dynamometer (42) or an automotive vehicle mounted on a dynamometer (42), where the dynamometer (42) is electronically controlled by a dynamometer controller (43). Each gearshift in the sequence includes a first phase, a second phase, . . . and an N.sup.th phase. The gearshift controller (39) includes (initial values of) a first phase control parameters set, a second phase control parameters set, . . . and an N.sup.th phase control parameters set for each gearshift in the sequence that are updated using a first phase learning controller, a second phase learning controller, . . . and an N*11 phase learning controller respectively.

A device for a vehicle including: a memory configured to store mapping data including machine learning data defining a mapping that uses an estimation variable that is a variable indicating a vehicle operation status of the vehicle and a detection value of a sensor detecting an oil temperature of a power transmission device as input variables, and uses an element corresponding to the input variables as an output variable; and a processor configured to: acquire the input variables; use the mapping to acquire the element as the output variable of the mapping corresponding to the input variables; and determine based on the element whether the detection value becomes equal to or higher than a threshold value due to occurrence of an abnormality in the power transmission device or a mode of vehicle operation by the driver of the vehicle.

An oil pressure learning method of an automatic transmission includes acquiring a state of a vehicle in a state where relational regulation data is stored, supplying oil to the automatic transmission such that the value of the oil pressure is set to an oil pressure command value, calculating, as a specific variable, a variable representing an amount in which a detected input rotation speed exceeds a target input rotation speed, or the like, calculating a reward in a manner in which it has a larger value when the specific variable satisfies a criterion than when it does not satisfy the criterion, updating the relational regulation data by inputting, to an update mapping, the reward and the oil pressure command value, and calculating a torque variable having a value that is increased as an amount of change in an input torque is increased.

A method for downshifting a vehicle having an automatic transmission is described. In one example, the method determines whether or not conditions are met for a power matching downshift. If conditions are met for a power matching downshift, output power of a powertrain propulsion torque source at an end of the power matching downshift is adjusted to an output power of the powertrain propulsion torque source at the beginning of the power matching downshift plus an offset power.