Abstract: A CPU calculates probability models by inputting input variables to a neural network. Next, the CPU determines whether a maximum value among the calculated probability models is larger than an upper limit value of a permissible range. When the maximum value is larger than the upper limit value of the permissible range, the CPU calculates a difference between the maximum value and a first reference value within the permissible range, and subtracts the difference from all the probability models. Then, the CPU calculates a probability of misfire in each cylinder by inputting each of the calculated probability models to a softmax function of mapping.

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 vehicle control device includes a memory configured to store relationship definition data that defines a relationship between a state of a vehicle and an action variable, which is a variable relating to an operation of electronic equipment in the vehicle, and a processor. The processor is configured to execute acquisition processing of acquiring a detection value of a sensor and driving preference information, operation processing of operating the electronic equipment, reward calculation processing of providing a greater reward when a characteristic of the vehicle satisfies a criterion than when the characteristic of the vehicle does not satisfy the criterion, and update processing of updating the relationship definition data. The processor is configured to, based on update mapping, output the relationship definition data updated to increase an expected return on the reward when the electronic equipment is operated in compliance with the relationship definition data.

Abstract: A method of generating vehicle control data includes: storing, with a storage device, relationship prescription data; operating, with an execution device, an operable portion of an internal combustion engine; acquiring, with the execution device, a detection value from a sensor that detects the state of the vehicle; calculating, with the execution device, a reward; and updating, with the execution device, the relationship prescription data using update mapping determined in advance, the update mapping using the state of the vehicle based on the detection value, an operation amount used to operate the operable portion, and the reward corresponding to the operation as arguments, and returning the relationship prescription data which have been updated such that an expected profit for the reward calculated when the operable portion is operated in accordance with the relationship prescription data increases.

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 method of generating vehicle control data is provided. The method is executed using a processor and a storage device and includes: storing first data that prescribe a relationship between a state of a vehicle and an action variable that indicates an action related to an operation of an electronic device; acquiring a detection value from a sensor that detects the state of the vehicle; operating the electronic device; calculating a reward, on the basis of the acquired detection value; in a case where a predetermined condition is met, updating the first data using, as inputs to update mapping determined in advance, the state of the vehicle, a value of the action variable, and the reward; and in a case where the state of the vehicle does not meet the predetermined condition, obtaining second data by adapting the relationship between the state of the vehicle and the action variable.

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 device includes a memory configured to store relationship definition data that defines a relationship between a state of a vehicle and an action variable, which is a variable relating to an operation of electronic equipment in the vehicle, and a processor. The processor is configured to execute acquisition processing of acquiring a detection value of a sensor, operation processing of operating the electronic equipment, reward calculation processing, update processing of updating the relationship definition data, detection processing, and switching processing of switching the relationship definition data to post-treatment data. The processor is configured to, based on the update mapping, output the relationship definition data updated to increase an expected return on the reward when the electronic equipment is operated in compliance with the relationship definition data.

Abstract: A vehicle control device includes a storage device and a processor. The storage device is configured to store relationship prescription data that prescribe a relationship between a state of a vehicle and an action variable that is a variable related to an operation of an electronic device in the vehicle. The processor is configured to calculate a reward corresponding to the operation of the electronic device. The processor is configured to update the relationship prescription data using, as inputs to updated mapping determined in advance, the state of the vehicle that is based on a detection value that is acquired, a value of the action variable that is used to operate the electronic device, and the reward corresponding to the operation of the electronic device when a computation load on the processor is equal to or less than a predetermined load.

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: 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: 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 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 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 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.

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 rotation waveform variable and a drive system rotation speed variable and the output being a value of a combustion state variable, and the detection mapping including a joint operation of the rotation waveform variable and the drive system rotation speed 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 being configured to acquire a value of the drive system rotation speed variable, the determination process being configured to determine whether or not the internal combustion engine is in a predetermined operating state.