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    CONTROL APPARATUS FOR VEHICLE
    12.
    发明申请
    CONTROL APPARATUS FOR VEHICLE 审中-公开
    车辆控制装置

    公开(公告)号：US20150369144A1

    公开(公告)日：2015-12-24

    申请号：US14743187

    申请日：2015-06-18

    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： Kenji ITAGAKI ,  Yoshihito KANNO ,  Gohki KINOSHITA ,  Hiroki MORITA ,  Daisuke IZUOKA

    IPC: F02D29/02 ,  B60W20/00

    CPC classification number: F02D29/02 ,  B60K6/445 ,  B60W20/10 ,  B60W2050/0026 ,  B60W2510/0638 ,  B60W2540/10 ,  B60W2710/0644 ,  B60W2710/0666 ,  B60W2710/0677 ,  F02D41/0225 ,  F02D41/10 ,  F02D2200/101 ,  F02M26/06 ,  Y10S903/905

    Abstract: A control apparatus for a vehicle is provided. The vehicle includes an engine and a transmission. The transmission is configured to continuously change an engine operating point that is defined by a rotational speed of the engine and a torque of the engine. The control apparatus includes an ECU. The ECU is configured to, when a target engine required power increases in response to a reacceleration operation, set the rotational speed and the torque so as to reach a power of the engine to the target engine required power while holding the rotational speed equal to or higher than the rotational speed at a time of the reacceleration operation. The ECU is configured to control the engine operating point based on the set rotational speed and the set torque.

    Abstract translation: 提供了一种用于车辆的控制装置。 车辆包括发动机和变速器。 变速器被配置为连续地改变由发动机的转速和发动机的转矩限定的发动机工作点。 控制装置包括ECU。 ECU被配置为当目标发动机所需功率响应于再加速操作而增加时，设定转速和转矩，以便将发动机的功率达到目标发动机所需功率，同时保持转速等于或 高于再加速操作时的转速。 ECU被配置为基于设定的转速和设定转矩来控制发动机工作点。

    ROTOR
    13.
    发明申请
    ROTOR 有权

    公开(公告)号：US20250119010A1

    公开(公告)日：2025-04-10

    申请号：US18901170

    申请日：2024-09-30

    Applicant: TOYOTA BOSHOKU KABUSHIKI KAISHA ,  TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： Daisuke HOMMA ,  Hiroshi AIHARA ,  Hiroki MORITA

    IPC: H02K1/276

    Abstract: A rotor includes a rotor core that includes a magnet housing hole, multiple magnet members that are accommodated in the magnet housing hole in a state of being separated from each other in a planar direction orthogonal to the stacking direction, and multiple fixing members that respectively fill spaces between an inner surface of the magnet housing hole and outer surfaces of the multiple magnet members. The fixing members press the magnet members against the inner surface of the magnet housing hole by foaming of a foaming agent, thereby fixing the magnet members. The magnet housing hole includes multiple recesses that are respectively filled with the fixing members.

    MODEL AGGREGATION DEVICE AND MODEL AGGREGATION SYSTEM
    14.
    发明申请
    MODEL AGGREGATION DEVICE AND MODEL AGGREGATION SYSTEM 审中-公开

    公开(公告)号：US20200285243A1

    公开(公告)日：2020-09-10

    申请号：US16801152

    申请日：2020-02-26

    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： Hiroki MORITA ,  Daiki YOKOYAMA ,  Eiki KITAGAWA ,  Sui KURIHASHI

    IPC: G05D1/02 ,  G05B13/02 ,  G06N3/08 ,  G06N3/04

    Abstract: A model aggregation device includes a communication device able to communicate with a plurality of vehicles in which neural network models are learned, a storage device storing a part of the neural network models sent from the plurality of vehicles, and a control device. The neural network model outputs at least one output parameter from a plurality of input parameters. The control device is configured to, if receiving a new neural network model from one vehicle among the plurality of vehicles through the communication device, compare ranges of the plurality of input parameters which were used for learning the new neural network model and ranges of the plurality of input parameters which were used for learning a current neural network model stored in the storage device to thereby determine whether to replace the current neural network model with the new neural network model.

    VEHICLE CONTROL DEVICE
    19.
    发明申请
    VEHICLE CONTROL DEVICE 有权

    公开(公告)号：US20220161780A1

    公开(公告)日：2022-05-26

    申请号：US17510387

    申请日：2021-10-26

    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： Daiki YOKOYAMA ,  Hiroya CHIBA ,  Yoshiyuki KAGEURA ,  Masanori SHIMADA ,  Yoshihiro SAKAYANAGI ,  Sui KURIHASHI ,  Hiroki MORITA ,  Makoto OGISO

    IPC: B60W20/20 ,  B60W20/40 ,  B60L58/12

    Abstract: In a hybrid vehicle, when a host vehicle is predicted to enter the inside of an engine drive restricted zone where operation of an internal combustion engine (20) is restricted, it is judged if congestion occurs or congestion is predicted as occurring in at least one of a running route leading to the inside of the engine drive restricted zone and a running route at the inside of the engine drive restricted zone. When it is judged that congestion occurs or congestion is predicted as occurring in at least one of a running route leading to the inside of the engine drive restricted zone and a running route at the inside of the engine drive restricted zone, an SOC amount of a battery (3) when the host vehicle enters the inside of the engine drive restricted zone is made to increase compared to when it is judged that congestion does not occur or congestion is predicted as not occurring at both of a running route leading to the inside of the engine drive restricted zone and a running route at the inside of the engine drive restricted zone.

    MODEL DIAGNOSIS DEVICE AND MODEL DIAGNOSIS SYSTEM
    20.
    发明申请
    MODEL DIAGNOSIS DEVICE AND MODEL DIAGNOSIS SYSTEM 有权

    公开(公告)号：US20210192872A1

    公开(公告)日：2021-06-24

    申请号：US17105506

    申请日：2020-11-26

    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： Hiroki MORITA ,  Daiki YOKOYAMA

    IPC: G07C5/08 ,  B60R16/023 ,  G06N3/08

    Abstract: A model diagnosis device includes a communication device able to communicate with a plurality of vehicles in each of which learning of a neural network model is performed and a learned neural network model is generated, a storage device, and a control device judging abnormality of the learned neural network model. The control device stores values of an output parameter output from the learned neural network model for predetermined values of input parameters in the storage device, when receiving a new learned neural network model or a value of an output parameter output from the new learned neural network model for the predetermined values of the input parameters from one vehicle of the plurality of vehicles through the communication device, performs statistical processing on the value of the output parameter, and judges abnormality of the new learned neural network model based on a result of the statistical processing.

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