Patents by Inventor Niranjan Abhijeet Mirashi

Niranjan Abhijeet Mirashi 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).

  • Electric vehicle charging optimization based on predictive analytics utilizing machine learning
    Patent number: 12103418
    Abstract: A method for managing charging resources of a charging system for plug-in electric vehicles (PEVs), the charging system including a central recording center including a tracking database. The method including initiating a charging session to a first PEV based on detecting that the first PEV has been plugged into a charging station. The first PEV is associated with the charging session in the tracking database. The first PEV is associated, in the tracking database, to a first user and a first PEV profile. The first PEV is charged in accordance with information from the first PEV profile. Charging session data is monitored and stored in the tracking database during the charging session. A machine learning model is generated based on collective charging data. Charge completion time of the first PEV is predicted based on the machine learning model.
    Type: Grant
    Filed: August 20, 2020
    Date of Patent: October 1, 2024
    Assignee: International Business Machines Corporation
    Inventors: Ronald J. Barber, Chad Eric DeLuca, Rishabh Anup Nair, Uche Uba, Saisujit Madiraju, Niranjan Abhijeet Mirashi, Francisco Loya, Emmanuel Shedu
  • ELECTRIC VEHICLE CHARGING OPTIMIZATION BASED ON PREDICTIVE ANALYTICS UTILIZING MACHINE LEARNING
    Publication number: 20220055496
    Abstract: A method for managing charging resources of a charging system for plug-in electric vehicles (PEVs), the charging system including a central recording center including a tracking database. The method including initiating a charging session to a first PEV based on detecting that the first PEV has been plugged into a charging station. The first PEV is associated with the charging session in the tracking database. The first PEV is associated, in the tracking database, to a first user and a first PEV profile. The first PEV is charged in accordance with information from the first PEV profile. Charging session data is monitored and stored in the tracking database during the charging session. A machine learning model is generated based on collective charging data. Charge completion time of the first PEV is predicted based on the machine learning model.
    Type: Application
    Filed: August 20, 2020
    Publication date: February 24, 2022
    Inventors: Ronald J. Barber, Chad Eric DeLuca, Rishabh Anup Nair, Uche Uba, Saisujit Madiraju, Niranjan Abhijeet Mirashi, Francisco Loya, Emmanuel Shedu