Patents by Inventor Thomas Kiessling

Thomas Kiessling 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).

  • REAL-TIME ELECTRIC VEHICLE FLEET MANAGEMENT
    Publication number: 20240116388
    Abstract: The present disclosure provides methods, systems, and devices for controlling electric vehicle charging across multiple customers and multiple fleets of electric vehicles. These methods, systems, and devices may implement machine learning to determine distinct charging strategies for a plurality of charging depots. Scheduling methods systems, and devices disclosed herein do not require fixed electric vehicle arrival times but may instead update charging strategies in real time based on changes in a state of a system.
    Type: Application
    Filed: December 15, 2023
    Publication date: April 11, 2024
    Inventors: Thomas Kiessling, Mike Makuch
  • Real-time electric vehicle fleet management
    Patent number: 11872902
    Abstract: The present disclosure provides methods, systems, and devices for controlling electric vehicle charging across multiple customers and multiple fleets of electric vehicles. These methods, systems, and devices may implement machine learning to determine distinct charging strategies for a plurality of charging depots. Scheduling methods systems, and devices disclosed herein do not require fixed electric vehicle arrival times but may instead update charging strategies in real time based on changes in a state of a system.
    Type: Grant
    Filed: September 18, 2020
    Date of Patent: January 16, 2024
    Assignee: BP PULSE FLEET NORTH AMERICA, INC.
    Inventors: Thomas Kiessling, Mike Makuch
  • REAL-TIME ELECTRIC VEHICLE FLEET MANAGEMENT
    Publication number: 20210086647
    Abstract: The present disclosure provides methods, systems, and devices for controlling electric vehicle charging across multiple customers and multiple fleets of electric vehicles. These methods, systems, and devices may implement machine learning to determine distinct charging strategies for a plurality of charging depots. Scheduling methods systems, and devices disclosed herein do not require fixed electric vehicle arrival times but may instead update charging strategies in real time based on changes in a state of a system.
    Type: Application
    Filed: September 18, 2020
    Publication date: March 25, 2021
    Applicant: AMPLY Power, Inc.
    Inventors: Thomas Kiessling, Mike Makuch