Abstract: A control device for a high pressure fuel pump (33) for fuel injection (14) in which values of at least seven parameters of an engine speed, an engine load, a lubrication oil temperature, an amount of fuel supplied to the high pressure fuel pump (33), a temperature of intake air fed into the engine, a temperature of fuel discharged from the high pressure fuel pump (33), and a vehicle speed are acquired, and a learned neural network learned in weights using acquired values of the seven parameters as input values of the neural network and using as training data the temperature of fuel discharged from the high pressure fuel pump (33) acquired after a fixed time period from when acquiring the values of the seven parameters is stored, At the time of an engine operation, the temperature of fuel discharged from the high pressure fuel pump (33) after the fixed time period is estimated by using the learned neural network from the current estimated temperature of fuel discharged from the high pressure fuel pump (33).

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: An update process updates relationship defining data by inputting, to a predetermined update map, a state of a vehicle obtained by a state obtaining process, a value of an action variable used to operate an electronic device, and a reward corresponding to an operation of an electronic device. A range in which an operation process uses, as the action variable, a value different from a value that maximizes an expected return related to the reward is defined as a return non-maximizing range. In a case in which a degree of deterioration of the vehicle is greater than or equal to a predetermined degree, a changing process changes the return non-maximizing range to a side on which the return non-maximizing range is expanded as compared to a case in which the degree of deterioration is less than the predetermined degree.

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 vehicle controller, a vehicle control system, a vehicle learning device, a vehicle control method, and a memory medium are provided. A switching process switches relationship defining data used in an operation process to post-measure data, when a detection process detects that a functional recovery measure has been taken. The switching process includes a process that uses, as the post-measure data, initial data that is the relationship defining data of a state before an update process is executed as the vehicle travels.

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 air-conditioning management apparatus includes: a storage unit that stores a schedule including a set time and a set temperature; a communication processing unit that communicates with the air-conditioning apparatus and receives operation status information including a heat medium temperature; and a controller that performs a schedule control to control the air-conditioning apparatus according to the schedule. The schedule control includes an optimal start-up control to control the air-conditioning apparatus such that an indoor space reaches the set temperature at the set time, by starting an operation of the air-conditioning apparatus before the set time.

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 catalyst temperature estimation device that estimates a temperature of a catalyst provided in an exhaust passage of an internal combustion engine includes a storage device and processing circuitry. The storage device stores mapping data that specifies a mapping that uses multiple input variables to output an estimation value of the temperature of the catalyst. The multiple input variables include at least one variable of an ambient temperature variable or an excess amount variable. The multiple input variables further include a fluid energy variable, which is a state variable related to energy of fluid flowing into the catalyst, and a previous cycle value of the estimation value of the temperature of the catalyst. The processing circuitry is configured to execute an acquisition process, a temperature calculation process, and an operation process. The mapping data includes data that is learned through machine learning.

Abstract: A behavior control apparatus for a vehicle having a control unit for controlling a braking device and controlling a behavior of a vehicle by controlling braking forces of wheels. When the vehicle is in the non-braking state, the control unit acquires information on a lateral acceleration of the vehicle; calculates, based on the lateral acceleration of the vehicle, a target yaw moment of a feedforward control for reducing a rate of decrease of the vehicle's yaw gain accompanying with an increase in an absolute value of a lateral acceleration of the vehicle, and controls braking forces of the wheels by controlling the braking device so that at least a yaw moment corresponding to the target yaw moment is applied to the vehicle.

Abstract: Provided is a novel technique for controlling the blood-brain barrier. An antibody whose epitope is a region within an extracellular domain of Claudin 5 protein.

Abstract: A control device for a high pressure fuel pump (33) for fuel injection (14) in which values of at least seven parameters of an engine speed, an engine load, a lubrication oil temperature, an amount of fuel supplied to the high pressure fuel pump (33), a temperature of intake air fed into the engine, a temperature of fuel discharged from the high pressure fuel pump (33), and a vehicle speed are acquired, and a learned neural network learned in weights using acquired values of the seven parameters as input values of the neural network and using as training data the temperature of fuel discharged from the high pressure fuel pump (33) acquired after a fixed time period from when acquiring the values of the seven parameters is stored, At the time of an engine operation, the temperature of fuel discharged from the high pressure fuel pump (33) after the fixed time period is estimated by using the learned neural network from the current estimated temperature of fuel discharged from the high pressure fuel pump (33).

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 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: An abnormality detection device for an air-fuel ratio sensor is provided. An air-fuel ratio sensor is provided in an exhaust passage. A storage device stores mapping data specifying a mapping. The mapping outputs an abnormality determination variable using first time series data and second time series data as an input. The first time series data is time series data of an excess amount variable in a first predetermined period. The excess amount variable is a variable corresponding to an excess amount of fuel actually discharged to the exhaust passage in relation to an amount of fuel reacting without excess or deficiency with oxygen contained in a fluid discharged to the exhaust passage. The second time series data is time series data of an air-fuel ratio detection variable in a second predetermined period.

Abstract: At the time of stopping operation of the vehicle, the pressures inside of the fuel tank (5) and inside of the canister (6) detected at every constant time are stored in the storage device. A learned neural network using the pressures inside the fuel tank (5) and inside the canister (6) for each fixed time stored in the storage device and the atmospheric pressure as input parameters of the neural network and using a case where perforation occurs in the system causing fuel vapor to leak as a truth label is stored. At the time of stopping operation of the vehicle, a perforation abnormality causing fuel vapor to leak is detected from these input parameters by using the learned neural network.

Abstract: At the time of stopping operation of the vehicle, the pressures inside of the fuel tank (5) and inside of the canister (6) detected at every constant time are stored in the storage device. A learned neural network using the pressures inside the fuel tank (5) and inside the canister (6) for each fixed time stored in the storage device and the atmospheric pressure as input parameters of the neural network and using a case where perforation occurs in the system causing fuel vapor to leak as a truth label is stored. At the time of stopping operation of the vehicle, a perforation abnormality causing fuel vapor to leak is detected from these input parameters by using the learned neural network.

Abstract: An oxygen storage amount estimation device estimates an oxygen storage amount of a catalyst disposed in an exhaust passage of an internal combustion engine. The oxygen storage amount estimation device includes a storage device and processing circuitry. The storage device stores mapping data, which is data specifying a mapping that uses multiple variables including at least an excess-deficient amount variable and a previous value of a storage amount variable as an input to output a value of the storage amount variable. The processing circuitry executes a storage amount variable calculation process that repeatedly calculates a value of the storage amount variable based on an output of the mapping using the multiple variables and an operation process that operates predetermined hardware based on a calculation result of the storage amount variable calculation process. The mapping data includes data learned by machine learning.

Abstract: A traveling control device includes: a sensor information acquisition unit configured to acquire an output value of an in-vehicle sensor including a yaw rate sensor detecting an actual value of a yaw rate generated in the vehicle; a command value determination unit configured to determine a target value of the yaw rate to be generated in the vehicle based on the output value and determine a command value to be given to an actuator controlling a behavior of the vehicle such that a difference between the actual value and the target value is reduced; a characteristic parameter acquisition unit configured to acquire a characteristic parameter indicating a characteristic of a drivers driving operation based on the difference; and an adjustment output unit configured to adjust the command value according to the characteristic parameter and output the adjusted command value to the actuator.

Abstract: A traveling route generation device includes a lane shape detection unit detecting a shape of a traveling lane in which a host vehicle is traveling, a lateral position detection unit detecting a lateral position that is a position of the host vehicle in a width direction of the traveling lane, and a traveling route generation unit generating, as a traveling route of the host vehicle when traveling in a curved section, a route in which an offset distance of the host vehicle remains at an entry offset distance on the basis of detection results of the lane shape detection unit and the lateral position detection unit. The offset distance indicates a distance between a lane center line and the lateral position of the host vehicle, and the entry offset distance indicates the offset distance of the host vehicle when entering the curved section.