Patents by Inventor Xiongyi CUI

Xiongyi CUI 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: 20240154421
    Abstract: A portable power system, including: at least one battery comprising a first plurality of battery cells; a direct current (DC) to alternating current (AC) inverter; at least two battery chargers; an AC input; a plurality of AC outputs; a plurality of sensors; a heating pad; at least one foam pad; at least one fan; a main control printed circuit board (PCB); a battery management system (BMS); and at least a first clamp enclosure housing at least a first set of components of the system.
    Type: Application
    Filed: November 8, 2023
    Publication date: May 9, 2024
    Inventors: Francois Renaud-Byrne, Michael Pinosa, Xiongyi Cui
  • Patent number: 11870288
    Abstract: Provided is a battery system, including: at least two batteries, each battery comprising a battery management system; a plurality of sensors for sensing battery operation data; at least one external connection port; wherein: at least two battery management systems of the at least two batteries are coupled to the at least one external connection port; and at least two battery management systems of the at least two batteries store machine-executable instructions, that when executed, cause the at least one battery management system to communicate battery operation data to at least one external load.
    Type: Grant
    Filed: May 19, 2021
    Date of Patent: January 9, 2024
    Inventors: Francois Renaud-Byrne, Michael Pinosa, Xiongyi Cui
  • Publication number: 20230056475
    Abstract: A method for scenario-based event triggers is described. The method includes generating, by a first machine-learning (ML) model, feature vectors encoding driving scenarios surrounding an ego vehicle. The method also includes detecting, by a second machine-learning (ML) model, a unique driving scenario outside of pre-programmed event triggers corresponding to one of the feature vectors encoding driving scenarios surrounding the ego vehicle. The method further includes triggering uploading of the unique driving scenario outside of pre-programmed event triggers to a central scenario-based event control server.
    Type: Application
    Filed: August 20, 2021
    Publication date: February 23, 2023
    Applicant: TOYOTA RESEARCH INSTITUTE, INC.
    Inventors: Xiongyi CUI, Stephen G. MCGILL, Guy ROSMAN, Simon A. I. STENT