Patents by Inventor Toshiki HORI

Toshiki HORI 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: 20240061046
    Abstract: A battery management system includes a control device and a storage. The storage stores at least one trained neural network. The trained neural network includes an input layer that accepts input data that represents a numeric value for each pixel in an image where a prescribed CCV waveform (a CCV charging waveform or a CCV discharging waveform) of a secondary battery is drawn in a region constituted of a predetermined number of pixels, and when input data is input to the input layer, the trained neural network outputs a full charge capacity of the secondary battery. The control device estimates the full charge capacity of a target battery by inputting input data obtained for the target battery into the input layer of the trained neural network.
    Type: Application
    Filed: October 31, 2023
    Publication date: February 22, 2024
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Junta IZUMI, Akihiro WATANABE, Toshiki HORI, Misato BABA
  • Patent number: 11841400
    Abstract: A battery management system includes a control device and a storage. The storage stores at least one trained neural network. The trained neural network includes an input layer that accepts input data that represents a numeric value for each pixel in an image where a prescribed CCV waveform (a CCV charging waveform or a CCV discharging waveform) of a secondary battery is drawn in a region constituted of a predetermined number of pixels, and when input data is input to the input layer, the trained neural network outputs a full charge capacity of the secondary battery. The control device estimates the full charge capacity of a target battery by inputting input data obtained for the target battery into the input layer of the trained neural network.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: December 12, 2023
    Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Junta Izumi, Akihiro Watanabe, Toshiki Hori, Misato Baba
  • Publication number: 20210132153
    Abstract: A battery management system includes a control device and a storage. The storage stores at least one trained neural network. The trained neural network includes an input layer that accepts input data that represents a numeric value for each pixel in an image where a prescribed CCV waveform (a CCV charging waveform or a CCV discharging waveform) of a secondary battery is drawn in a region constituted of a predetermined number of pixels, and when input data is input to the input layer, the trained neural network outputs a full charge capacity of the secondary battery. The control device estimates the full charge capacity of a target battery by inputting input data obtained for the target battery into the input layer of the trained neural network.
    Type: Application
    Filed: September 30, 2020
    Publication date: May 6, 2021
    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Junta IZUMI, Akihiro WATANABE, Toshiki HORI, Misato BABA