Patents by Inventor Akihiro Katayama

Akihiro Katayama has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20210062747
    Abstract: An internal combustion engine condition determination apparatus includes a storage device; and an execution device. The storage device stores mapping data that defines a mapping. The execution device is configured to execute an acquisition process of acquiring an internal combustion engine state variable every time a crankshaft of an internal combustion engine rotates by a predetermined angle, and a determination process of determining a condition of the internal combustion engine based on an output obtained through the mapping using the internal combustion engine state variable as an input. The mapping data is trained by machine learning. The execution device is configured to prohibit the determination process when a rotation speed of the crankshaft is equal to or higher than a predetermined threshold.
    Type: Application
    Filed: June 29, 2020
    Publication date: March 4, 2021
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Yohsuke HASHIMOTO, Akihiro KATAYAMA, Yuta OSHIRO, Kazuki SUGIE, Naoya OKA
  • Publication number: 20210062746
    Abstract: Provided is a state determination device for an internal combustion engine. The state determination device includes a storage device, and an execution device. The storage device stores mapping data that is data defining a mapping that outputs a determination result of a state of the internal combustion engine, by using an internal combustion engine state variable as an input. The execution device executes an acquisition process of acquiring the internal combustion engine state variable each time a crankshaft rotates by a specified angle, and a determination process of determining the state of the internal combustion engine based on an output of the mapping using the internal combustion engine state variable as an input. The execution device omits a part of the determination process performed each time the crankshaft rotates by the specified angle when a rotation speed of the crankshaft becomes equal to or higher than a predetermined threshold.
    Type: Application
    Filed: July 7, 2020
    Publication date: March 4, 2021
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Yohsuke HASHIMOTO, Akihiro KATAYAMA, Yuta OSHIRO, Kazuki SUGIE, Naoya OKA
  • Publication number: 20210056781
    Abstract: A storage device in a vehicle stores practical mapping data and evaluation mapping data, and a CPU determines a presence or absence of a misfire based on a mapping defined by each of the mapping data. When there is a mismatch between two determination results, the CPU transmits, to a data analysis center, data used as an input of the mapping defined by the evaluation mapping data. The data analysis center verifies a validity of the determination result using the evaluation mapping data.
    Type: Application
    Filed: August 10, 2020
    Publication date: February 25, 2021
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Yohsuke HASHIMOTO, Akihiro KATAYAMA, Yuta OSHIRO, Kazuki SUGIE, Naoya OKA
  • Publication number: 20210054797
    Abstract: A misfire detection apparatus includes storage devices that store first mapping data and second mapping data, and execution devices. The execution device executes a first acquisition process, a first calculation process, a second acquisition process, a second calculation process, a determination process of determining whether or not a calculation result of the second calculation process and a calculation result of the first calculation process match, a count process of counting the number of consecutive times when a determination is made in the determination process that there is mismatch, and a transmission process of transmitting, to an outside of the vehicle, data on the value of the second misfire variable corresponding to the maximum number of times among the numbers of consecutive times counted in the count process during a predetermined period and data on the second input data used for calculating the value of the second misfire variable.
    Type: Application
    Filed: August 7, 2020
    Publication date: February 25, 2021
    Applicant: Toyota Jidosha Kabushiki Kaisha
    Inventors: Yohsuke Hashimoto, Akihiro Katayama, Yuta Oshiro, Kazuki Sugie, Naoya Oka
  • Publication number: 20210053577
    Abstract: A vehicle learning system includes a first execution device mounted on a vehicle, a second execution device outside the vehicle, and a storage device. The storage device stores mapping data including data, which is learned by machine learning and defines mapping that receives input data based on a detection value of an in-vehicle sensor and outputs an output value. The first execution device and the second execution device execute, in cooperation with each other, an acquisition process of acquiring input data, a calculation process of calculating an output value with the input data as an input of the mapping, and a relationship evaluation process of evaluating a relationship between a predetermined variable different from a variable corresponding to the output value and accuracy of the output value. The first execution device executes at least the acquisition process, and the second execution device executes at least the relationship evaluation process.
    Type: Application
    Filed: August 7, 2020
    Publication date: February 25, 2021
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Yohsuke HASHIMOTO, Akihiro Katayama, Yuta Oshiro, Kazuki Sugie, Naoya Oka
  • Publication number: 20210054800
    Abstract: A vehicle control device includes a storage device that stores mapping data including data that defines mapping that receives input data based on a plurality of detection values which are detection values of an in-vehicle sensor and which are before or after in time series and outputs a predetermined output value and that is learned by machine learning and an execution device that executes an acquisition process of acquiring the input data from the storage device, a calculation process of calculating the predetermined output value with the input data as an input of the mapping, and a transmission process of transmitting the detection values used when the input data is generated and time series data including data based on one or a plurality of detection values which are before or after the detection value used for the input data in time series to an outside of the vehicle.
    Type: Application
    Filed: August 7, 2020
    Publication date: February 25, 2021
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Yohsuke HASHIMOTO, Akihiro Katayama, Yuta Oshiro, Kazuki Sugie, Naoya Oka
  • Publication number: 20210053578
    Abstract: A control apparatus for a vehicle includes: a memory configured to store map data, the map data including data that defines a map and that have been trained through machine learning, the map being configured to input data based on a detected value of an in-vehicle sensor and output an output value having information about a prescribed status of the vehicle; and a processor configured to execute an acquisition process of acquiring the input data and related data different from the input data, execute a calculation process of calculating the output value by using the input data, acquired through the acquisition process, as an input to the map, and execute a sending process of sending, to an outside of the vehicle, the input data used to calculate the output value and the related data acquired through the acquisition process together with the input data.
    Type: Application
    Filed: August 18, 2020
    Publication date: February 25, 2021
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Yohsuke HASHIMOTO, Akihiro KATAYAMA, Yuta OSHIRO, Kazuki SUGIE, Naoya OKA
  • Publication number: 20210033039
    Abstract: A state detection system for an internal combustion engine includes: a memory configured to store mapping data, the mapping data being data that defines a detection mapping, the detection mapping being a mapping between an input and an output, the input being a rotation waveform variable and a drive system rotation speed variable and the output being a value of a combustion state variable, and the detection mapping including a joint operation of the rotation waveform variable and the drive system rotation speed variable based on a parameter learned by machine learning; and a processor configured to execute an acquisition process and a determination process, the acquisition process being configured to acquire a value of the drive system rotation speed variable, the determination process being configured to determine whether or not the internal combustion engine is in a predetermined operating state.
    Type: Application
    Filed: June 23, 2020
    Publication date: February 4, 2021
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Yohsuke HASHIMOTO, Akihiro Katayama, Yuta Oshiro, Kazuki Sugie, Naoya Oka
  • Publication number: 20210033040
    Abstract: A state detection system for an internal combustion engine includes: a memory configured to store mapping data, the mapping data being data that defines a detection mapping, the detection mapping being a mapping between an input and an output, the input being a first waveform variable and a second waveform variable and the output being a value of a combustion state variable, and the detection mapping including a joint operation of the first waveform variable and the second waveform variable based on a parameter learned by machine learning; and a processor configured to execute an acquisition process and a determination process. The acquisition process acquires a value of the first waveform variable. The determination process determines whether or not the internal combustion engine is in a predetermined operating state.
    Type: Application
    Filed: July 14, 2020
    Publication date: February 4, 2021
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Yohsuke HASHIMOTO, Akihiro KATAYAMA, Yuta OSHIRO, Kazuki SUGIE, Naoya OKA
  • Patent number: 10871453
    Abstract: According to an embodiment, an inspection device comprises a moving body that includes; a moving main body which moves in contact with a first structure; arms attached to the moving main body; an arm driver to drive the arms; and a detector attached to the moving main body or the arms to inspect the second structure. The arms each can selectively take a pressed position and a detached position. When the moving body is moved, at least one of the arms are in the pressed position and pressed to the second structure, and the moving body is supported by the first and second structures.
    Type: Grant
    Filed: December 26, 2018
    Date of Patent: December 22, 2020
    Assignees: KABUSHIKI KAISHA TOSHIBA, Toshiba Energy Systems & Solutions Corporation
    Inventors: Manabu Watanabe, Akihiro Matsuzaki, Fumio Sato, Fujio Terai, Hitoshi Katayama, Yuichiro Gunji
  • Publication number: 20200392915
    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).
    Type: Application
    Filed: April 20, 2020
    Publication date: December 17, 2020
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Harufumi MUTO, Naoya Okubo, Akihiro Katayama, Yosuke Hashimoto
  • Publication number: 20200378329
    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.
    Type: Application
    Filed: May 13, 2020
    Publication date: December 3, 2020
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Harufumi MUTO, Naoya OKUBO, Akihiro KATAYAMA, Yosuke HASHIMOTO
  • Publication number: 20200378330
    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.
    Type: Application
    Filed: April 6, 2020
    Publication date: December 3, 2020
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Harufumi MUTO, Yuki IKEJIRI, Akihiro KATAYAMA, Yosuke HASHIMOTO
  • Patent number: 10844803
    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.
    Type: Grant
    Filed: March 16, 2020
    Date of Patent: November 24, 2020
    Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Harufumi Muto, Akihiro Katayama, Kohei Mori, Yosuke Hashimoto
  • Patent number: 10830187
    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.
    Type: Grant
    Filed: February 18, 2020
    Date of Patent: November 10, 2020
    Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Harufumi Muto, Akihiro Katayama, Yosuke Hashimoto, Kazuki Tsuruoka
  • Publication number: 20200332747
    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.
    Type: Application
    Filed: February 18, 2020
    Publication date: October 22, 2020
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Harufumi MUTO, Akihiro KATAYAMA, Yosuke HASHIMOTO, Kazuki TSURUOKA
  • Publication number: 20200333789
    Abstract: There is provided with an information processing apparatus. An acquisition unit acquires a first processing result including information for identifying the position of the mobile object and a second processing result including information for identifying the position of the mobile object. The first processing result is obtained by executing a first processing method on an image obtained by measuring at least surroundings of the mobile object by using a light receiving sensor installed on the mobile object. The second processing result is obtained by executing a second processing method different from the first processing method on an observation result obtained by observing the mobile object by using a light receiving sensor installed at a location at which it is possible to observe the mobile object.
    Type: Application
    Filed: July 7, 2020
    Publication date: October 22, 2020
    Inventors: Masahiro Suzuki, Makoto Tomioka, Toshihiro Kobayashi, Akihiro Katayama, Masakazu Fujiki, Kazuhiko Kobayashi, Daisuke Kotake, Shuichi Mikame, Tomoyuki Ueno, Chiyako Nakajima, Satomi Nagashima
  • Publication number: 20200332731
    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.
    Type: Application
    Filed: March 31, 2020
    Publication date: October 22, 2020
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Harufumi MUTO, Akihiro KATAYAMA, Yosuke HASHIMOTO
  • Patent number: D906243
    Type: Grant
    Filed: July 29, 2019
    Date of Patent: December 29, 2020
    Assignee: EBARA CORPORATION
    Inventors: Yohei Oishi, Takahide Ozawa, Kazuma Nishimura, Takayuki Kuronuma, Akihiro Ochiai, Ryoko Ikegami, Prateek Ninave, Naoki Katayama
  • Patent number: D906256
    Type: Grant
    Filed: July 29, 2019
    Date of Patent: December 29, 2020
    Assignee: EBARA CORPORATION
    Inventors: Yohei Oishi, Takahide Ozawa, Kazuma Nishimura, Takayuki Kuronuma, Akihiro Ochiai, Ryoko Ikegami, Prateek Ninave, Naoki Katayama