Abstract: A device for creating a target model adapted for a target environment and outputting a target output when a target input is input includes: a unit for determining candidate models adapted respectively for candidate environments different from the target environment and outputting a reference output respectively when a reference input is input; a unit for determining a basic environment from among the candidate environments based on the data of the reference output obtained by respectively inputting teacher data of the reference input related to the target environment into the candidate models, and teacher data of the reference output corresponding to the teacher data of the reference input; a unit for determining, as a basic model, a model adapted for the basic environment and outputting the target output when the target input is input; and a unit for creating the target model based on the basic model.

Abstract: A hybrid vehicle includes an internal combustion engine, electric motors, an electric supercharger, a battery, and a controller. The controller determines whether to increase a total electric power supply amount to the electric motor and the electric supercharger from the battery based on a state of charge of the battery. When so determined, electric power supply promotion control is performed to increase the total electric power supply amount from the battery. In the electric power supply promotion control, the controller controls the electric power supply amount to the electric motors and the electric supercharger so as to maximize fuel save rate, which is the percentage of decrease of the fuel consumption of an internal combustion engine relative to an increase in the total electric power supply amount from the battery.

Abstract: A vehicle allocation device includes a processor including hardware, the processor being configured to: determine, for each vehicle, a necessity of suppressing lowering of performance of an internal combustion engine based on vehicle information corresponding to the vehicle; determine a reservation as a first reservation when reservation information corresponding to the reservation of renting the vehicle satisfies a first condition under which suppressing of lowering of the performance is expected; and allocate the vehicle to the reservation based on the reservation information, wherein the processor is configured to allocate, in a case where the reservation is the first reservation, the vehicle satisfying a second condition indicating a high necessity of the suppression of lowering of the performance or the vehicle having a higher necessity of the suppression of lowering of the performance than the other vehicle to the reservation.

Abstract: A machine learning device of an amount of unburned fuel using a neural network in which the correlation functions showing correlations between parameters and an amount of unburned fuel are found for parameters relating to operation of an internal combustion engine, and the parameters with strong degrees of correlation with the amount of unburned fuel exhausted from the engine are selected from among the parameters based on the correlation functions. The amount of unburned fuel is learned by using the neural network from the selected parameters and amount of unburned fuel.

Abstract: A learning use data set showing relationships among an engine speed, an engine load rate, an air-fuel ratio of the engine, an ignition timing of the engine, an HC or CO concentration of exhaust gas flowing into an exhaust purification catalyst and a temperature of the exhaust purification catalyst is acquired. The acquired engine speed, engine load rate, air-fuel ratio of the engine, ignition timing of the engine, and HC or CO concentration of the exhaust gas flowing into the exhaust purification catalyst are used as input parameters of a neural network and the acquired temperature of the exhaust purification catalyst is used as training data to learn a weight of the neural network. The learned neural network is used to estimate the temperature of the exhaust purification catalyst.

Abstract: A learning use data set showing relationships among an engine speed, an engine load rate, an air-fuel ratio of the engine, an ignition timing of the engine, an HC or CO concentration of exhaust gas flowing into an exhaust purification catalyst and a temperature of the exhaust purification catalyst is acquired. The acquired engine speed, engine load rate, air-fuel ratio of the engine, ignition timing of the engine, and HC or CO concentration of the exhaust gas flowing into the exhaust purification catalyst are used as input parameters of a neural network and the acquired temperature of the exhaust purification catalyst is used as training data to learn a weight of the neural network. The learned neural network is used to estimate the temperature of the exhaust purification catalyst.

Abstract: In a control device of a hybrid vehicle including an engine and an electric motor serving as drive power sources and a damper device disposed between the engine and the electric motor and having rotational characteristics related to an input torque, the control device comprises: a damper rotational characteristic detecting portion configured to measure a rotational characteristic value of the damper device by allowing the electric motor to input a torque to the damper device while rotation of a crankshaft of the engine is stopped; and an output torque correction control portion configured to control an output torque of the engine or the electric motor to suppress occurrence of vibration based on a difference between the rotational characteristic value of the damper device detected by the damper rotational characteristic detecting portion and a preset initial setting value of the rotational characteristic value of the damper device.

Abstract: A machine learning device of an amount of unburned fuel using a neural network in which the correlation functions showing correlations between parameters and an amount of unburned fuel are found for parameters relating to operation of an internal combustion engine, and the parameters with strong degrees of correlation with the amount of unburned fuel exhausted from the engine are selected from among the parameters based on the correlation functions. The amount of unburned fuel is learned by using the neural network from the selected parameters and amount of unburned fuel.

Abstract: A learning use data set showing relationships among an engine speed, an engine load rate, an air-fuel ratio of the engine, an ignition timing of the engine, an HC or CO concentration of exhaust gas flowing into an exhaust purification catalyst and a temperature of the exhaust purification catalyst is acquired. The acquired engine speed, engine load rate, air-fuel ratio of the engine, ignition timing of the engine, and HC or CO concentration of the exhaust gas flowing into the exhaust purification catalyst are used as input parameters of a neural network and the acquired temperature of the exhaust purification catalyst is used as training data to learn a weight of the neural network. The learned neural network is used to estimate the temperature of the exhaust purification catalyst.

Abstract: A hybrid vehicle 1 includes an internal combustion engine 10 and electric motors 12 and 14 as electric power sources. The hybrid vehicle 1 further includes an electric supercharger 54, a battery 20, and a controller 30. The controller determines whether or not it is necessary to increase a total electric power supply amount to the electric motor and the electric supercharger from the battery based on a state of charge of the battery, and when it is determined that it is necessary to increase the total electric power supply amount from the battery, electric power supply promotion control is performed to increase the total electric power supply amount from the battery.

Abstract: In a control device of a hybrid vehicle including an engine and an electric motor serving as drive power sources and a damper device disposed between the engine and the electric motor and having rotational characteristics related to an input torque, the control device comprises: a damper rotational characteristic detecting portion configured to measure a rotational characteristic value of the damper device by allowing the electric motor to input a torque to the damper device while rotation of a crankshaft of the engine is stopped; and an output torque correction control portion configured to control an output torque of the engine or the electric motor to suppress occurrence of vibration based on a difference between the rotational characteristic value of the damper device detected by the damper rotational characteristic detecting portion and a preset initial setting value of the rotational characteristic value of the damper device.

Abstract: A turbocharger that includes a turbine and a compressor, an electric supercharger that is arranged in an intake passage, and a control device that increases a rotational speed of the electric supercharger upon receipt of a torque increase request with respect to the internal combustion engine are provided. During a process in which the rotational speed of the electric supercharger is increasing, if the rotational speed arrives at a predetermined switching rotational speed “Ntec”, the control device decreases a rate of increase in the rotational speed from a first rate of increase “Nteup1” to a second rate of increase “Nteup2” (<Nteup1). At such time, the control device sets each of “Ntec” and “Nteup2” based on at least any one of an engine speed, a rate of increase in the engine speed, and a supercharging pressure difference between a target supercharging pressure and an actual supercharging pressure.

Abstract: An action of injection of the main injection fuel (QM) from the fuel injector (3) is started within a range of crank angle from 10 degree before the compression top dead center to 10 degree after the compression top dead center. A smaller amount of the auxiliary injection fuel (QN) than the main injection fuel (QM) is made to be injected from the fuel injector (3) before the main injection fuel (QM) so as to make the auxiliary injection fuel (QN) ignite by the premixed charge compression ignition. The injection timing of the auxiliary injection fuel (QN) is controlled to a timing whereby a heat generated by the premixed charge compression ignition of the auxiliary injection fuel (QN) causes the premixed charge compression ignition of the main injection fuel (QM) after the start of injection of the main injection fuel (QM).

Abstract: A control system is applied to an internal combustion engine. The internal combustion engine includes an electric compressor provided in an intake passage, a bypass passage which bypasses the electric compressor, a low pressure EGR passage which connects a section of the intake passage, which is positioned upstream more than the electric compressor, and an exhaust passage, and a low pressure EGR valve provided in the low pressure EGR passage. An ECU, when a predetermined pressure accumulation condition where a gas flow rate of a specific place of the intake passage has become equal to or less than a predetermined amount, is satisfied, first executes a pressure accumulation control where the bypass valve is closed and the electric compressor is activated, and then, when an opening condition is satisfied during an execution of the pressure accumulation control, opens the low pressure EGR valve and opens the bypass valve.

Abstract: An action of injection of the main injection fuel (QM) from the fuel injector (3) is started within a range of crank angle from 10 degree before the compression top dead center to 10 degree after the compression top dead center. A smaller amount of the auxiliary injection fuel (QN) than the main injection fuel (QM) is made to be injected from the fuel injector (3) before the main injection fuel (QM) so as to make the auxiliary injection fuel (QN) ignite by the premixed charge compression ignition. The injection timing of the auxiliary injection fuel (QN) is controlled to a timing whereby a heat generated by the premixed charge compression ignition of the auxiliary injection fuel (QN) causes the premixed charge compression ignition of the main injection fuel (QM) after the start of injection of the main injection fuel (QM).

Abstract: A turbocharger that includes a turbine and a compressor, an electric supercharger that is arranged in an intake passage, and a control device that increases a rotational speed of the electric supercharger upon receipt of a torque increase request with respect to the internal combustion engine are provided. During a process in which the rotational speed of the electric supercharger is increasing, if the rotational speed arrives at a predetermined switching rotational speed “Ntec”, the control device decreases a rate of increase in the rotational speed from a first rate of increase “Nteup1” to a second rate of increase “Nteup2” (<Nteup1). At such time, the control device sets each of “Ntec” and “Nteup2” based on at least any one of an engine speed, a rate of increase in the engine speed, and a supercharging pressure difference between a target supercharging pressure and an actual supercharging pressure.

Abstract: A control system is applied to an internal combustion engine. The internal combustion engine includes an electric compressor provided in an intake passage, a bypass passage which bypasses the electric compressor, a low pressure EGR passage which connects a section of the intake passage, which is positioned upstream more than the electric compressor, and an exhaust passage, and a low pressure EGR valve provided in the low pressure EGR passage. An ECU, when a predetermined pressure accumulation condition where a gas flow rate of a specific place of the intake passage has become equal to or less than a predetermined amount, is satisfied, first executes a pressure accumulation control where the bypass valve is closed and the electric compressor is activated, and then, when an opening condition is satisfied during an execution of the pressure accumulation control, opens the low pressure EGR valve and opens the bypass valve.

Abstract: A cylinder pressure estimation device calculates a plurality of candidate values of a possible cylinder pressure at an intake-valve-closing time, calculates a plurality of candidates of a possible movement of the cylinder pressure from the intake-valve-closing time to a post-intake-valve-closing time on the basis of the candidate values of the intake-valve-closing-time cylinder pressure, calculates a movement of the cylinder pressure detected by the cylinder pressure sensor from the intake-valve-closing time to the post-intake-valve-closing time; and calculates the candidates of the cylinder pressure movement with the detected cylinder pressure movement, determining the candidate of the cylinder pressure movement to be deemed to correspond to the detected cylinder pressure movement and determining the candidate value of the intake-valve-closing-time cylinder pressure used for calculating the determined candidate of the cylinder pressure movement.

Abstract: A cylinder pressure estimation device includes means for calculating a plurality of candidate values of a possible cylinder pressure at an intake-valve-closing time, means for calculating a plurality of candidates of a possible movement of the cylinder pressure from the intake-valve-closing time to a post-intake-valve-closing time on the basis of the candidate values of the intake-valve-closing-time cylinder pressure, means for calculating a movement of the cylinder pressure detected by the cylinder pressure sensor from the intake-valve-closing time to the post-intake-valve-closing time; and means for comparing the candidates of the cylinder pressure movement with the detected cylinder pressure movement, determining the candidate of the cylinder pressure movement to be deemed to correspond to the detected cylinder pressure movement and determining the candidate value of the intake-valve-closing-time cylinder pressure used for calculating the determined candidate of the cylinder pressure movement.