Toyota Jidosha Kabushiki Kaisha

Kabushiki Kaisha Toyota Chuo Kenkyusho

Keisuke Nagasaka

Hiroshi Oyagi

Daiki Yokoyama

Naoki Ito

Hiroshi Tanaka

Tomohiro Kaneko

Yusuke Takasu

Kazuki Tsurumi

Takashi Shimazu

Norihisa Nakagawa

Shuntaro Okazaki

Satoshi Iguchi

Takahiko Fujiwara

Hiroshi Aoki

Satoshi Aoyama

Masahiro Imanishi

Koji Morita

Shigeaki Murata

Eiki Kitagawa

Hiroyuki Mitsui

Ichiro Kitamura

Hiroyuki Kawai

Satoshi Nakazawa

Satoshi Kamitani

Kouichi Kimura

A vehicle allocation device allocates a vehicle in response to a vehicle allocation request from a terminal of a user, and includes a vehicle selector configured to, when acquiring the vehicle allocation request, select a vehicle having a relatively large degree of progress in learning of a relation between input and output of a parameter depending on an area to be traveled by the user from a plurality of vehicles learning a relation between input and output of a parameter depending on a predetermined area, and output a vehicle allocation instruction to the selected vehicle.

Vehicle allocation device, vehicle, and terminal

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.

Machine learning device of amount of unburned fuel, machine learning method, learned model, electronic control unit, method of production of electronic control unit, and machine learning system

A control support device for supporting control of a vehicle using a learned model obtained by machine learning, includes: a data acquisition unit acquiring sensor information, which is related to a state of an inside or an outside of a supplying vehicle that supplies parameters to be used for the machine learning; a learning unit generating a learned model by performing the machine learning using an input/output data set, which is the sensor information acquired by the data acquisition unit and is data including input parameters and an output parameter of the learned model; and a transmission unit Transmitting at least one of the generated learned model and an output parameter calculated by inputting sensor information of the vehicle, control of which is supported, to the generated learned model as an input parameter.

Control support device, vehicle, control support method, recording medium, learned model for causing computer to function, and method of generating learned model

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.

Machine learning system for estimating a temperature of an exhaust purification catalyst

According to one aspect of the present invention, there is provided a control device for an internal combustion engine, in which an electric heating catalyst (EHC) having a catalyst support generating heat by energizing is provided to an exhaust passage. The control device includes a control unit configured to energize the support in the case where a rapid change in intake air flow is detected based on an intake air flow of the internal combustion engine or a correlation value of the intake air flow, so as to suppress any occurrence of a crack caused by an increase in difference in temperature between predetermined portions at the support during the rapid change in intake air flow.

Control device and method for internal combustion engine

An exhaust gas control apparatus for an internal combustion engine, controls an exhaust operation of the internal combustion engine () provided with an exhaust gas purification catalyst () in an exhaust passage (). The exhaust gas control apparatus for the internal combustion engine is provided with; a warming-up device configured to warm up the exhaust gas purification catalyst; and an oxygen supplying device () configured to supply oxygen to the exhaust gas purification catalyst after the end of the warm-up. This makes it possible to preferably desorb sulfur adsorbed to the exhaust gas purification catalyst during warm-up. It is therefore possible to suppress a reduction in purification ability of the exhaust gas purification catalyst due to sulfur coating.

Exhaust gas control apparatus for internal combustion engine

A control system includes an electrical heating catalyzer, a measuring device and an electronic control unit. The measuring device measures an insulation resistance between a catalyst carrier and case of the electrical heating catalyzer. The electronic control unit determines that the electrical heating catalyzer has a failure when a variation width of the insulation resistance is smaller than or equal to a set value in a historical variation in the insulation resistance measured by the measuring device.

Control system and control method for electrical heating catalyzer

A substratethat selectively allows hydrogen to permeate therethrough is formed with a catalyst thin layeron a first sidethereof and is heated in a furnace tube, which functions as a reactor, of a heating furnacewhile a raw material gas to the catalyst thin layeris fed. Hydrogen produced on the first sideof the substrateas a result of the formation of carbon nanotubesis separated from the raw material gas and is allowed to permeate to a second sidethereof.

Carbon nanotube production process and carbon nanotube production apparatus

The present invention provides a hydrogen-generating apparatus in which the reduction in reforming efficiency associated with an increase in switching frequency to the regeneration reaction can be suppressed, and generation of hydrogen by reforming can stably be performed. In the reforming reaction, a cathode offgas discharged from a hydrogen-separation-membrane fuel cellhaving a hydrogen-permeating film is supplied to PSR reformersand, in which the reforming reaction and the regeneration reaction are performed alternately.

Hydrogen-generating apparatus and fuel cell system

Growing community of inventors

Susono, Japan

Keisuke Nagasaka