Abstract: A state detection system for an internal combustion engine is provided. Rotation waveform variables include information on a difference between cylinders in the rotational speed of a crankshaft during periods in which the respective cylinders generate combustion torque. An obtainment process obtains a value of the rotation waveform variables and a value of a road surface state variable based on an output of a sensor that detects a state of the road surface. A selection process selects, from a plurality of types of mapping data stored in the storage device, the mapping data that is associated with the road surface state variable as the detection mapping. A determination process determines whether the engine is in a predetermined operating state based on an output value of the selected detection mapping that takes the rotation waveform variables as inputs.

Abstract: A learned neural network learned in weights using an engine load, an engine speed, and an intake pressure inside the engine intake passage downstream of the throttle valve (19) as input parameters of the neural network and using leakage of blow-by gas from a blow-by gas feed path (20) as a truth label is stored. At the time of operation of the vehicle, the learned neural network is used to detect the abnormality of leakage of blow-by gas from the blow-by gas feed path (20) from the above input parameters.

Abstract: A vehicle control system is provided. A classification process classifies vehicles into groups based on information related to vehicles. In order to update relationship defining data for each of the classified groups, an update process inputs, into an update map, states of the vehicles belonging to a same group, values of action variables used to operate the electronic devices of the vehicles belonging to the same group, and rewards corresponding to the operation of the electronic devices.

Abstract: A controller includes a memory device and an execution device that executes first and second operation processes, a switching process, and a recording process. The first operation process operates an operated unit by an operated amount, which is calculated on the basis of a state variable, using an adapted data set. The second operation process operates the operated unit by an operated amount that is defined by a relationship defining data set and the state variable. The switching process switches a process that operates the operated unit between the first operation process and the second operation process. The recording process obtains a value of the state variable used in calculation of the operated amount using the first operation process during an operation of the operated unit using the second operation process. The recording process also records time-series data of the obtained value of the state variable in the memory device.

Abstract: A CPU sets a gear ratio, which is an action, on the basis of an accelerator operation amount, a vehicle speed, a gradient, a curvature, and a current gear ratio, until a predetermined amount of time elapses. The CPU operates a transmission in accordance with the set gear ratio and obtains a rotation speed NE of a crankshaft at that time. When the predetermined amount of time has elapsed, the CPU updates an action value function by providing a reward in accordance with whether the number of times of switching the rotation speed NE or the gear ratio meets a standard.

Abstract: An imbalance detection device is provided. An obtainment process includes obtaining a rotation waveform variable based on a detection value of a sensor that detects a rotational behavior of a crankshaft, and an air-fuel ratio detection variable in each of a plurality of first intervals. A calculation process includes calculating an imbalance variable based on an output of a mapping having a value obtained by the obtainment process as an input. The imbalance variable indicates a degree of variations in an air-fuel ratio of the internal combustion engine. The rotation waveform variable indicates a difference between instantaneous speed variables that are variables corresponding to the rotational speed of the crankshaft in each of the second intervals.

Abstract: A controller includes a memory device and an execution device, which executes an operation of an operated unit of an internal combustion engine. The execution device includes a first operation process that operates the operated unit by an operated amount, which is calculated on the basis of a state of a vehicle, using an adapted data set, a second operation process that operates the operated unit by an operated amount that is defined by a relationship defining data set and the state of the vehicle, and a switching process that switches the operation of the operated unit between an operation by the first operation process and an operation by the second operation process, depending on whether the vehicle is performing a manual acceleration travel or an automatic acceleration travel.

Abstract: A catalyst deterioration detection device is provided to detect deterioration of a catalyst provided in an exhaust passage of an internal combustion engine. The catalyst deterioration detection device includes a storage device and processing circuitry. The storage device stores map data specifying a mapping that uses time series data of an excess amount variable in a first predetermined period and time series data of a downstream detection variable in a second predetermined period as inputs to output a deterioration level variable. The processing circuitry executes an acquisition process that acquires data, a deterioration level variable calculation process that calculates a deterioration level variable of the catalyst based on an output of the mapping using the data acquired by the acquisition process as an input. The map data includes data that is learned through machine learning.

Abstract: A controller includes a memory device and an execution device, which executes an operation of an operated unit of an internal combustion engine. The execution device includes a first operation process that operates the operated unit by an operated amount, which is calculated on the basis of a state of a vehicle, using an adapted data set, a second operation process that operates the operated unit by an operated amount that is defined by a relationship defining data set and the state of the vehicle, and a switching process that switches the operation of the operated unit between an operation by the first operation process and an operation by the second operation process, depending on whether the vehicle is performing a manual acceleration travel or an automatic acceleration travel.

Abstract: To estimate an engine cooling water temperature, four learned neural networks (150A, 150B, 150C, and 150D) are stored, in which weights are learned for the four states of whether the grille shutter (50) is opened and whether air blown by the blower (63) circulates through the air-conditioning use heater (65). The engine cooling water temperature is estimated using any one of the learned neural networks selected from among the four learned neural networks (150A, 150B, 150C, and 150D). An abnormality of the engine cooling water recirculation system is detected based on the estimated value of the engine cooling water temperature.

Abstract: During vehicle turning, during which a behavior stabilization control is not carried out, a vehicle driving assistance device carries out a turning assist control including: yaw moment control for increasing the amount of drive torque distributed to a drive wheel that, among two left and right drive wheels of the vehicle, is on the outer side of the turn by imparting braking torque to the drive wheel that is on the inner side of the turn; and a deceleration control for decelerating the vehicle. At this time, the driving assistance device calculates a control moment amount and calculates a control deceleration amount on the basis of a travel mode selected by operation of an operation unit.

Abstract: A catalyst deterioration detection device is provided to detect deterioration of a catalyst provided in an exhaust passage of an internal combustion engine. The catalyst deterioration detection device includes a storage device and processing circuitry. The storage device stores map data specifying a mapping that uses time series data of an excess amount variable in a first predetermined period and time series data of a downstream detection variable in a second predetermined period as inputs to output a deterioration level variable. The processing circuitry executes an acquisition process that acquires data, a deterioration level variable calculation process that calculates a deterioration level variable of the catalyst based on an output of the mapping using the data acquired by the acquisition process as an input. The map data includes data that is learned through machine learning.

Abstract: A storage device stores mapping data and association data. The mapping data defines a mapping that outputs an estimated value of the temperature of a catalyst using a warm-up operation amount variable and the previous value of the estimated value as an input. The association data associates the integrated value of an intake air amount of an internal combustion engine from the startup of the engine and the temperature of the catalyst. The execution device repeatedly calculates the estimated value based on the output of the mapping. When the correspondence relationship between the integrated value and the estimated value is different from the correspondence relationship between the integrated value and the temperature of the catalyst in the association data, the warm-up process is determined to have an anomaly.

Abstract: A vehicle controller is provided. An update process updates a relationship defining data by inputting, to a predetermined update map, a state of a vehicle, a value of an action variable used to operate an electronic device, and a reward corresponding to that electronic device. A reward calculating process provides, based on the state of the vehicle obtained by an obtaining process, a greater reward when a characteristic of the vehicle meets a standard than when the characteristic of the vehicle does not meet the standard. A loosening process loosens the standard to a larger extent when the degree of deterioration is large than when the degree of deterioration is small.

Abstract: In a method for learning a mapping used by a computer, the mapping calculates a probability related to a categorization result using an internal combustion engine state variable as an input. The categorization result is a result of categorizing a state of an internal combustion engine into one of regions. The computer outputs the categorization result based on the calculated probability. The method includes inputting multiple training data to a training computer. The training data include the internal combustion engine state variable and the categorization result that is correct and associated with the internal combustion engine state variable. The method further includes updating the mapping based on the training data with the training computer. The training data are distributed to the regions and have a distribution density that is increased at locations closer to a border between the regions.

Abstract: A vehicle control data generation method includes causing processing circuitry to execute an obtaining process that obtains a state of a vehicle and a specifying variable, an operating process that operates an electronic device, a reward calculating process that provides a greater reward when a characteristic of the vehicle meets a standard than when the characteristic does not meet the standard, an updating process that updates relationship defining data. The update map outputs the updated relationship defining data so as to increase an expected return for the reward in a case where the electronic device is operated in accordance with the relationship defining data. The reward calculating process includes a changing process that changes the reward between when the characteristic of the vehicle is a predetermined characteristic in an EV mode and when the characteristic is the predetermined characteristic in a HV mode.

Abstract: A vehicle control data generation method includes causing processing circuitry to execute an obtaining process that obtains a state of a vehicle and a specifying variable, an operating process that operates an electronic device, a reward calculating process that provides a greater reward when a characteristic of the vehicle meets a standard than when the characteristic does not meet the standard, and an updating process that updates relationship defining data. The update map outputs the updated relationship defining data. The reward calculating process includes a changing process that changes the reward, provided when the characteristic of the vehicle is a predetermined characteristic, such that the reward in a case where torque generated by an internal combustion engine is used to generate the propelling force of the vehicle differs from the reward in a case where the torque is not used to generate the propelling force.

Abstract: A vehicle control device includes: a signal processing integrated circuit (IC) unit for performing image processing on an output from a camera mounted in a vehicle and outputting image data obtained through the image processing; a recognition processing IC unit provided as another unit different from the signal processing IC unit, for performing recognition processing for recognizing an external environment of the vehicle based on the image data received from the signal processing IC unit and outputting external environment data obtained through the recognition processing; and a judgment IC unit provided as another unit different from the signal processing IC unit and the recognition processing IC unit, for performing judgment processing for cruise control of the vehicle based on the external environment data received from the recognition processing IC unit and outputting a cruise control signal based on the judgment processing result.

Abstract: A controller includes a memory device and an execution device that executes first and second operation processes, a switching process, and a recording process. The first operation process operates an operated unit by an operated amount, which is calculated on the basis of a state variable, using an adapted data set. The second operation process operates the operated unit by an operated amount that is defined by a relationship defining data set and the state variable. The switching process switches a process that operates the operated unit between the first operation process and the second operation process. The recording process obtains a value of the state variable used in calculation of the operated amount using the first operation process during an operation of the operated unit using the second operation process. The recording process also records time-series data of the obtained value of the state variable in the memory device.

Abstract: An execution device executes an obtaining process that obtains a state of a vehicle, an operating process that operates an electronic device of the vehicle based on the state of the vehicle obtained by the obtaining process and operation data, a performance determining process that determines whether an environmental performance of the vehicle when the electronic device is operated is lower than a determination performance, and a data updating process that updates the operation data so as to increase the environmental performance of the vehicle when the performance determining process determines that the environmental performance of the vehicle is lower than the determination performance.