Abstract: In an internal combustion engine having a cylinder in which an air-fuel mixture of gaseous fuel and intake air is combusted, an intake passage connected to the cylinder, and a supercharger for supercharging the intake air, in a case where backfire is generated in a set period before supercharging is performed by the supercharger, supercharging is performed at a smaller supercharging pressure than in a case where backfire is not generated in the set period.

Abstract: A headrest stay includes a detachment prevention slot portion formed in a rod-shaped leg portion, the detachment prevention slot portion being recessed toward a center side of the leg portion, the lock portion being configured to enter into the detachment prevention slot portion, and the detachment prevention slot portion including: a first flat face portion that faces a lower side; and a second flat face portion that faces an upper side, the second flat face portion including: an opposing portion that opposes the first flat face portion; and a region that, in a vertical sectional diagram cut along the axial direction of the leg portion, is disposed at an outer peripheral side of the leg portion relative to the first flat face portion.

Abstract: The electric vehicle according to the present disclosure calculates motor torque using an MT vehicle model simulating an MT vehicle having a manual transmission and an internal combustion engine. In the first operation mode, an operation amount of a pseudo-clutch pedal and a shift position of a pseudo-gearshift are input to the MT vehicle model to reflect operation of the pseudo-clutch pedal and operation of the pseudo-gearshift in electric motor control. In the second operation mode where the operation of the pseudo-clutch pedal is not needed, an operation amount of a clutch pedal calculated by a driver model is input to the MT vehicle model instead of the operation amount of the pseudo-clutch pedal.

Abstract: An electric vehicle is configured to be able to perform running by an MT mode that controls an electric motor with a torque characteristic like an MT vehicle having a manual transmission and an internal combustion engine, and running by an EV mode that controls the electric motor with a normal torque characteristic. The electric vehicle includes a mode changeover switch for switching to the running by the MT mode.

Abstract: In an internal combustion engine having a cylinder in which an air-fuel mixture of gaseous fuel and intake air is combusted, an intake passage connected to the cylinder, and a supercharger for supercharging the intake air, in a case where backfire is generated in a set period before supercharging is performed by the supercharger, supercharging is performed at a smaller supercharging pressure than in a case where backfire is not generated in the set period.

Abstract: The controller of the electric vehicle is configured to control the torque of the electric motor using the MT vehicle model based on the operation amount of the accelerator pedal, the operation amount of the pseudo-clutch pedal, and the shift position of the pseudo-shifter. Further, the controller is configured to execute the stall production process for changing the engine output torque used for calculation of the driving wheel torque to zero when the calculated virtual engine speed using the MT vehicle model becomes lower than the prescribed stall engine speed.

Abstract: The electric vehicle according to the present disclosure is configured to be able to select a traveling mode between an MT mode in which an electric motor is controlled with torque characteristics like an MT vehicle having a manual transmission and an internal combustion engine, and an EV mode in which the electric motor is controlled with normal torque characteristics. The controller of the electric vehicle controls the electric motor in the MT mode such that responsiveness of the motor torque with respect to a change in the operation amount of the accelerator pedal is lower than in the EV mode.

Abstract: The controller of the electric vehicle is configured to control the torque of the electric motor using the MT vehicle model based on the operation amount of the accelerator pedal, the operation amount of the pseudo-clutch pedal, and the shift position of the pseudo-shifter. The electric vehicle also includes a shift reaction force generator that generates a shift reaction force in response to the operation of the pseudo-shifter using by the operating of the reaction force actuator. The controller is configured to store the shift reaction force characteristic simulating the characteristic of the shift reaction force according to the operation of the shifter. Then, the controller is configured to control the shift reaction force output by the shift reaction force generator according to the operation of the pseudo-shifter using the stored shift reaction force characteristic.

Abstract: The controller of the electric vehicle is configured to control the torque of the electric motor using the MT vehicle model based on the operation amount of the accelerator pedal, the operation amount of the pseudo-clutch pedal, and the shift position of the pseudo-shifter. Further, the controller is configured to execute the stall production process for changing the engine output torque used for calculation of the driving wheel torque to zero when the calculated virtual engine speed using the MT vehicle model becomes lower than the prescribed stall engine speed.

Abstract: The electric vehicle according to the present disclosure is configured to be able to select a traveling mode between an MT mode in which an electric motor is controlled with torque characteristics like an MT vehicle having a manual transmission and an internal combustion engine, and an EV mode in which the electric motor is controlled with normal torque characteristics. When the selection of the travelling mode is changed by a driver, the controller of the electric vehicle determines whether a control mode can be switched, based on a condition in which the electric vehicle is placed, and switches the control mode in accordance with the determination result.

Abstract: A device for predicting power consumption in a predetermined target area includes: an attribute specifying unit for specifying an attribute of a person within the predetermined target area; and a prediction unit for calculating a predicted power consumption in the target area based on the specified attribute such that the predicted power consumption in the target area differs when the attribute of the person differs.

Abstract: A data collection device collects data from a data acquisition device for acquiring data relating to a person located within a predetermined target area. The data collection device includes a processor for: determining whether data acquired by the data acquisition device is data relating to a resident within the target area; and controlling transmission of data from the data acquisition device to the data collection device. The processor causes the data acquisition device to transmit data of parameters that are at least partially different between a case where data acquired by the data acquisition device relates to a resident and a case where data acquired by the data acquisition device does not relate to a resident.

Abstract: A power transmission unit in which an oil pump is arranged without extending a shaft length. In the power transmission unit, an input shaft, a first rotary machine, a differential mechanism, and an output shaft are arranged coaxially. The power transmission unit comprise: a first clutch that engages a first movable member connected to an input element of the differential mechanism with a first engagement section formed on another rotary element; a second clutch that engages a second movable member connected to the output element of the differential mechanism with a second engagement section formed on another rotary element; a drive gear mounted on the input element; a driven gear meshed with the drive gear; and an oil pump connected to the driven gear.

Abstract: A data collection system has a data acquisition device located in a predetermined target area and a data collection device communicable with the data acquisition device, and collects data necessary for use or training of a machine learning model from the data acquisition device to the data collection device. The data collection system includes a processor configured to: determine whether a collection promotion condition is satisfied; and control data transmission. The processor controls data transmission from the data acquisition device to the data collection device so that an amount of data transmission per unit time is larger when it is determined that the collection promotion condition is satisfied, compared to when it is determined that the collection promotion condition is not satisfied.

Abstract: A data collection system collects data, for training of a machine learning model for classifying into a plurality of classes, from a data acquisition device to a data collection device. The system includes a processor configured to specify an occurrence probability of occurrence of a low occurrence class for each condition; set a target transmission amount per unit time; specify a current condition; and transmit data from the data acquisition device to the data collection device, in accordance with a target transmission amount corresponding to the specified current condition. The amount of data transmission is larger in a condition having a relatively higher occurrence probability of the low occurrence class, compared to a condition having a relatively lower occurrence probability of occurrence of the low occurrence class.

Abstract: A data collection apparatus collects data used for a process, based on image data representing a group of consecutive images received from an imaging device. A processor of the data collection apparatus is configured to: control transmission of image data to the data collection apparatus; detect an object included in each image of an image group represented by the image data; track a detected object between consecutive images; store object image data relating to each object tracked; and calculate a number of objects included in an image represented by the image data. The control of transmission of the image data or the detection of the objects is performed such that an amount of data per unit number of objects is smaller when the calculated number of objects is relatively larger, as compared to when the number is relatively smaller.

Abstract: A power transmission unit in which an oil pump is arranged without extending a shaft length. In the power transmission unit, an input shaft, a first rotary machine, a differential mechanism, and an output shaft are arranged coaxially. The power transmission unit comprise: a first clutch that engages a first movable member connected to an input element of the differential mechanism with a first engagement section formed on another rotary element; a second clutch that engages a second movable member connected to the output element of the differential mechanism with a second engagement section formed on another rotary element; a drive gear mounted on the input element; a driven gear meshed with the drive gear; and an oil pump connected to the driven gear.

Abstract: A driving force control system for a hybrid vehicle for reducing a required time to launch the hybrid vehicle after selecting a reverse range while maintaining a driving force. The control system is configured to change an engine start threshold to restrict a startup of the engine upon satisfaction of a restricting condition, in which a low mode is established by a transmission mechanism, and a reverse drive range is selected.

Abstract: A processor of a control device of a server for machine learning a plurality of models with different output parameters, comprising a receiving part for receiving information from a plurality of equipment connected to be able to communicate, a learning use data set preparing part for using information which the receiving part receives to prepare a learning use data set for each model, and a learning part for machine learning with priority a model with a high priority order in models for which the number of data sets required for learning have been prepared based on the priority orders of learning among models if the number of data sets required for learning have been prepared for a plurality of models.

Abstract: There are provided a controller and a control method for a hybrid vehicle including an engine with a supercharger serving as a drive power source for travel, a rotary machine serving as a drive power source for travel, and a power storage device configured to transmit and receive electric power to and from the rotary machine. The controller determines whether an operation of the supercharger is limited, compensates for a torque shortage of the engine due to limitation of the operation of the supercharger by a torque of the rotary machine when it is determined that the operation of the supercharger is limited, and curbs a decrease in an amount of electric power stored in the power storage device more when it is determined that the operation of the supercharger is limited than when it is determined that the operation of the supercharger is not limited.