Toyota Jidosha Kabushiki Kaisha

Denso Corporation

Other

Harufumi Muto

Akihiro Katayama

Yosuke Hashimoto

Daisuke Kobayashi

Yuichiro Ido

Satoshi Furukawa

Makoto Fujita

Naoto Kushi

Satoshi Takamoto

Kohei Mori

Naohide Fuwa

Haruki Oguri

Yuki Ikejiri

Naoya Okubo

Naoki Maeda

Atsushi Nagai

Takefumi Uchida

Tatsunobu Murai

Isamu Toshimitsu

Hiroyasu Yamashita

Shigeru Kamio

Noritake Mitsutani

Kazuki Sugie

Noboru Kitahara

Akira Eiraku

Masato Ehara

Masashi Hakariya

Masakazu Aoki

Akira Ohata

Hisayo Dohta

Minoru Kondo

Masakazu Yamada

Yuji Miyanoo

Kei Masuda

Matsuei Ueda

Kazuki Tsuruoka

Takahiro Anami

Makoto Nagaoka

Junji Hyodo

Yasuo Okuda

Takato Ikedo

Hitoshi Hosaki

Jyunichi Kako

Kakuji Kagoshima

Yosuke Ueno

Kazuya Matsumoto

Yuichiro C/O Toyota Techno Service Corp Ido

Processing circuitry of a document management system calculates a first similarity between a block in a first level of a first document and a block in a second level of a second document, calculates a similarity between a block in a second level of the first document and a block in a second level of the second document as a second similarity, calculates a combined similarity based on the first similarity and the second similarity, and associates the block in the first level of the first document with the block in the first level of the second document based on the combined similarity.

Document management system

A document comparison system is provided. Processing circuitry determines that a specific heading of a first document corresponds to corresponding headings of a second document. The processing circuitry generates a combined body by combining corresponding bodies of the second document with each other. The processing circuitry compares a specific body of the first document with the combined body of the second document to extract a difference between the specific body and the combined body.

Document comparison system

A catalyst deterioration detection device is provided to detect deterioration of a catalyst provided in an exhaust passage of an internal combustion engine. The catalyst deterioration detection device includes a storage device and processing circuitry. The storage device stores map data specifying a mapping that uses time series data of an excess amount variable in a first predetermined period and time series data of a downstream detection variable in a second predetermined period as inputs to output a deterioration level variable. The processing circuitry executes an acquisition process that acquires data, a deterioration level variable calculation process that calculates a deterioration level variable of the catalyst based on an output of the mapping using the data acquired by the acquisition process as an input. The map data includes data that is learned through machine learning.

Catalyst deterioration detection device, catalyst deterioration detection system, data analysis device, control device of internal combustion engine, and method for providing state information of used vehicle

A misfire detection device for an internal combustion engine is provided. A mapping takes time series data of instantaneous speed parameters as inputs. Each instantaneous speed parameter corresponds to one of a plurality of successive second intervals in a first interval. The instantaneous speed parameters correspond to the rotational speed of the crankshaft. The first interval is a rotational angular interval of the crankshaft in which compression top dead center occurs. The second interval is smaller than an interval between compression top dead center positions. The mapping outputs a probability that a misfire has occurred in at least one cylinder that reaches compression top dead center in the first interval. The mapping data defining the mapping has been learned by machine learning.

Misfire detection device for internal combustion engine, misfire detection system for internal combustion engine, data analysis device, and controller for internal combustion engine

A supply information communication system, a communication module, a liquid supply facility, and a supply information communication method are provided. The communication module is mounted on a vehicle to which liquid is supplied from the liquid supply facility. An obtaining section of the liquid supply facility obtains identifying information for identifying the vehicle that is a supply destination of the liquid discharged by a supplying section. A transmitting section of the liquid supply facility transmits supply information to the vehicle identified by the identifying information. The supply information includes information indicating that the liquid has been supplied. The communication module includes a receiving section and a storing section. The receiving section receives the supply information addressed to the vehicle on which the communication module is mounted. The storing section stores the received supply information.

Supply information communication system, communication module, liquid supply facility, and supply information communication method

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 () as input parameters of the neural network and using leakage of blow-by gas from a blow-by gas feed path () 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 () from the above input parameters.

System for detecting abnormality in blow-by gas feed path in internal combustion engine

An imbalance detection device is provided. An obtainment process includes obtaining a rotation waveform variable based on a detection value of a sensor that detects a rotational behavior of a crankshaft, and an air-fuel ratio detection variable in each of a plurality of first intervals. A calculation process includes calculating an imbalance variable based on an output of a mapping having a value obtained by the obtainment process as an input. The imbalance variable indicates a degree of variations in an air-fuel ratio of the internal combustion engine. The rotation waveform variable indicates a difference between instantaneous speed variables that are variables corresponding to the rotational speed of the crankshaft in each of the second intervals.

Imbalance detection device, imbalance detection system, data analysis device, and controller for internal combustion engine

To estimate an engine cooling water temperature, four learned neural networks (A,B,C, andD) are stored, in which weights are learned for the four states of whether the grille shutter () is opened and whether air blown by the blower () circulates through the air-conditioning use heater (). The engine cooling water temperature is estimated using any one of the learned neural networks selected from among the four learned neural networks (A,B,C, andD). An abnormality of the engine cooling water recirculation system is detected based on the estimated value of the engine cooling water temperature.

Abnormality detection system of engine cooling water recirculation system

Catalyst deterioration detection device, catalyst deterioration detection system, data analysis device, control device of internal combustion engine, and method for providing sate information of used vehicle

A storage device stores mapping data and association data. The mapping data defines a mapping that outputs an estimated value of the temperature of a catalyst using a warm-up operation amount variable and the previous value of the estimated value as an input. The association data associates the integrated value of an intake air amount of an internal combustion engine from the startup of the engine and the temperature of the catalyst. The execution device repeatedly calculates the estimated value based on the output of the mapping. When the correspondence relationship between the integrated value and the estimated value is different from the correspondence relationship between the integrated value and the temperature of the catalyst in the association data, the warm-up process is determined to have an anomaly.

Catalyst warm-up process monitoring device, system, and method for internal combustion engine, data analysis device, control device for internal combustion engine, and receiver

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.

Oxygen storage amount estimation device, oxygen storage amount estimation system, controller for internal combustion engine, data analysis device, and method for estimating oxygen storage amount

A control device for a high pressure fuel pump () for fuel injection () 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 (), a temperature of intake air fed into the engine, a temperature of fuel discharged from the high pressure fuel pump (), 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 () 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 () 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 ().

Control device for high pressure fuel pump for fuel injection

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 (), 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.

Abnormality detection system of exhaust gas recirculation system

A catalyst state estimation apparatus includes a first sensor, a memory and a processor. The first sensor is configured to acquire information about a catalyst that removes a toxic substance in an exhaust gas, the first sensor being provided in a main passage into which the exhaust gas flows from an internal combustion engine. The memory is configured to previously store a catalyst state estimation model that includes at least one mathematical model. The processor is configured to estimate a removal performance of the catalyst by applying the information about the catalyst acquired by the first sensor to the catalyst state estimation model.

Catalyst state estimation apparatus, catalyst state estimation method with information processing apparatus, and non-transitory recording medium in which program is stored

Growing community of inventors

Nishikamo-gun, Japan

Harufumi Muto