Abstract: Provided is a method of generating vehicle control data. The method is applied to a vehicle configured to select one of a plurality of traveling control modes and is executed by a processor in a state in which relationship definition data defining a relationship between a state of the vehicle and an action variable as a variable relating to an operation of electronic equipment in the vehicle is stored in a memory. The method includes operation processing for operating the electronic equipment, acquisition processing for acquiring a detection value of a sensor configured to detect the state of the vehicle, reward calculation processing for providing reward, and update processing for updating the relationship definition data.

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 vehicle control system includes a memory, a first processor mounted in a vehicle, and a second processor different from an in-vehicle device. The first processor and the second processor are configured to execute acquisition processing, operation processing, reward calculation processing, and update processing. The first processor is configured to execute at least the acquisition processing and the operation processing, and the second processor is configured to execute the update processing.

Abstract: A vehicle controller includes processing circuitry and a storage device. The storage device stores relationship specifying data that specifies a relationship between a vehicle state and an action variable. The processing circuitry is configured to execute an obtaining process obtaining the vehicle state, an operating process operating an electronic device based on a value of the action variable, a reward calculation process assigning a reward based on the vehicle state, an updating process updating the relationship specifying data using the vehicle state, the value of the action variable, and the reward as inputs to an update mapping. When a value of the action variable designated by the relationship specifying data is a first value, a process in which the operating process operates the electronic device in accordance with the first value is executable in a first situation and is not executable in a second situation.

Abstract: A state estimation device for an internal combustion engine includes: a storage device that stores mapping data, the mapping data being data defining a mapping that takes as an input an internal combustion engine state variable and that generates as an output an estimated value for estimating the state of the internal combustion engine; and an execution device that executes an acquisition process of acquiring the internal combustion engine state variable and an estimation process of calculating the estimated value based on the output of the mapping. The mapping data is data learned by machine learning. When the estimated value is out of an acceptable range, the execution device executes a guard process of adjusting the estimated value to a value close to or within the acceptable range. When executing the guard process, the execution device calculates the value after the guard process as the estimated value.

Abstract: A state detection system for an internal combustion engine is provided. A detection mapping takes, as inputs, rotation waveform variables and a road surface state variable to output a combustion state variable. The rotation waveform variables include information on a difference between cylinders in the rotational speed NE of a crankshaft during periods in which the respective cylinders generate combustion torque. The combustion state variable relates to a level of variations in combustion state among the cylinders. A determination process performed by an execution device determines whether the internal combustion engine is in a predetermined operating state based on an output value of the detection mapping that takes, as inputs, values of the rotation waveform variables and a value of the road surface state variable.

Abstract: An internal combustion engine includes a state determination device. The state determination device includes a storage device and an execution device. The execution device executes an acquisition process, and a determination process. The execution device executes a guard process of bringing an internal combustion engine state variable closer to an allowable range or a value within the allowable range when the internal combustion engine state variable acquired in the acquisition process is out of the predetermined allowable range. The execution device determines the state of the internal combustion engine based on the internal combustion engine state variable after the guard process in the subsequent determination process when the guard process is executed.

Abstract: A learned neural network in weights using at least the four parameters of the engine load, engine speed, intake pressure inside the intake passage downstream of the throttle valve (12), and amount of intake air fed into the engine as input parameters of the neural network and using a target EGR rate as training data is stored. At the time of engine operation, the learned neural network is used to estimate the target EGR rate from the above parameters and abnormality of the exhaust gas recirculation system is detected based on the difference between the estimated value of the target EGR rate and the target EGR rate.

Abstract: A transmission ratio controller includes circuitry that includes a transmission ratio calculator calculating a request transmission ratio, a transmission ratio instructor transmitting a control signal, and an abnormality determiner. The request transmission ratio is calculated using a first transmission ratio map when a specified parameter satisfies a first condition, and a second transmission ratio map when the specified parameter satisfies a second condition. The internal combustion engine is in a first state when the specified parameter satisfies the first condition, and in a second state when the specified parameter satisfies the second condition. In the first state, the abnormality determiner calculates a hypothetical transmission ratio using the second transmission ratio map based on the second state.

Abstract: A transmission ratio controller includes circuitry. The circuitry includes a transmission ratio calculator configured to calculate a request transmission ratio to a transmission mechanism, a transmission ratio instructor configured to output a control signal based on the request transmission ratio, and an abnormality determiner configured to determine whether a transmission ratio of the transmission mechanism is abnormal. At least two of the request transmission ratio, an instruction transmission ratio corresponding to the control signal, or an actual transmission ratio achieved by the transmission mechanism are transmission ratios subject to comparison. The abnormality determiner is configured to determine that when a difference obtained by comparing the transmission ratios subject to comparison is greater than or equal to a predetermined specified value, the transmission ratio of the transmission mechanism is abnormal.

Abstract: A transmission ratio controller includes circuitry including a transmission ratio calculator and a monitor. The transmission ratio calculator calculates a transmission ratio using a first transmission ratio map when a specified parameter satisfies a first condition, and using a second transmission ratio map when the specified parameter satisfies a second condition. When the specified parameter satisfies the first condition, the internal combustion engine is in a first state. When the specified parameter satisfies the second condition, the internal combustion engine is in a second state. In the first state, the monitor calculates a hypothetical transmission ratio using the second transmission ratio map based on the second state.

Abstract: An information processing apparatus includes an acquiring unit configured to acquire first data and second data, a deriving unit configured to derive gradient data describing a gradient of correspondence data on the basis of the correspondence data describing a correspondence between partial data of the first data and partial data of the second data, and a propagating unit configured to propagate the correspondence data on the basis of the gradient data.

Abstract: An internal combustion engine condition determination apparatus includes a storage device; and an execution device. The storage device stores mapping data that defines a mapping. The execution device is configured to execute an acquisition process of acquiring an internal combustion engine state variable every time a crankshaft of an internal combustion engine rotates by a predetermined angle, and a determination process of determining a condition of the internal combustion engine based on an output obtained through the mapping using the internal combustion engine state variable as an input. The mapping data is trained by machine learning. The execution device is configured to prohibit the determination process when a rotation speed of the crankshaft is equal to or higher than a predetermined threshold.

Abstract: Provided is a state determination device for an internal combustion engine. The state determination device includes a storage device, and an execution device. The storage device stores mapping data that is data defining a mapping that outputs a determination result of a state of the internal combustion engine, by using an internal combustion engine state variable as an input. The execution device executes an acquisition process of acquiring the internal combustion engine state variable each time a crankshaft rotates by a specified angle, and a determination process of determining the state of the internal combustion engine based on an output of the mapping using the internal combustion engine state variable as an input. The execution device omits a part of the determination process performed each time the crankshaft rotates by the specified angle when a rotation speed of the crankshaft becomes equal to or higher than a predetermined threshold.

Abstract: A vehicle learning system includes a first execution device mounted on a vehicle, a second execution device outside the vehicle, and a storage device. The storage device stores mapping data including data, which is learned by machine learning and defines mapping that receives input data based on a detection value of an in-vehicle sensor and outputs an output value. The first execution device and the second execution device execute, in cooperation with each other, an acquisition process of acquiring input data, a calculation process of calculating an output value with the input data as an input of the mapping, and a relationship evaluation process of evaluating a relationship between a predetermined variable different from a variable corresponding to the output value and accuracy of the output value. The first execution device executes at least the acquisition process, and the second execution device executes at least the relationship evaluation process.

Abstract: A vehicle control device includes a storage device that stores mapping data including data that defines mapping that receives input data based on a plurality of detection values which are detection values of an in-vehicle sensor and which are before or after in time series and outputs a predetermined output value and that is learned by machine learning and an execution device that executes an acquisition process of acquiring the input data from the storage device, a calculation process of calculating the predetermined output value with the input data as an input of the mapping, and a transmission process of transmitting the detection values used when the input data is generated and time series data including data based on one or a plurality of detection values which are before or after the detection value used for the input data in time series to an outside of the vehicle.

Abstract: A control apparatus for a vehicle includes: a memory configured to store map data, the map data including data that defines a map and that have been trained through machine learning, the map being configured to input data based on a detected value of an in-vehicle sensor and output an output value having information about a prescribed status of the vehicle; and a processor configured to execute an acquisition process of acquiring the input data and related data different from the input data, execute a calculation process of calculating the output value by using the input data, acquired through the acquisition process, as an input to the map, and execute a sending process of sending, to an outside of the vehicle, the input data used to calculate the output value and the related data acquired through the acquisition process together with the input data.

Abstract: A storage device in a vehicle stores practical mapping data and evaluation mapping data, and a CPU determines a presence or absence of a misfire based on a mapping defined by each of the mapping data. When there is a mismatch between two determination results, the CPU transmits, to a data analysis center, data used as an input of the mapping defined by the evaluation mapping data. The data analysis center verifies a validity of the determination result using the evaluation mapping data.

Abstract: A misfire detection apparatus includes storage devices that store first mapping data and second mapping data, and execution devices. The execution device executes a first acquisition process, a first calculation process, a second acquisition process, a second calculation process, a determination process of determining whether or not a calculation result of the second calculation process and a calculation result of the first calculation process match, a count process of counting the number of consecutive times when a determination is made in the determination process that there is mismatch, and a transmission process of transmitting, to an outside of the vehicle, data on the value of the second misfire variable corresponding to the maximum number of times among the numbers of consecutive times counted in the count process during a predetermined period and data on the second input data used for calculating the value of the second misfire variable.

Abstract: A state detection system for an internal combustion engine includes: a memory configured to store mapping data, the mapping data being data that defines a detection mapping, the detection mapping being a mapping between an input and an output, the input being a first waveform variable and a second waveform variable and the output being a value of a combustion state variable, and the detection mapping including a joint operation of the first waveform variable and the second waveform variable based on a parameter learned by machine learning; and a processor configured to execute an acquisition process and a determination process. The acquisition process acquires a value of the first waveform variable. The determination process determines whether or not the internal combustion engine is in a predetermined operating state.