Patents by Inventor Khushdeep NAGI

Khushdeep NAGI 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).

  • Method and system for determining a distance-to-empty charge in an electric vehicle
    Patent number: 12682688
    Abstract: Methods and Systems are provided for predicting a distance until the batter in an electric vehicle is discharged. Vehicle and geophysical data are received and formatted in n epochs over a time period T. For each epoch, an epoch data structure including a total energy consumption rate, a state of charge rate, and a distance rate is generated. The epochs are processed using a vector autoregression model to generate a predicted epoch data structure. A predicted state of charge is calculated using a state of charge model. A predicted distance traveled in the next epoch is calculated. A predicted charge to empty is calculated and checked to determine if the predicted charge to empty has reached an empty level. The process is repeated until the predicted charge to empty reaches an empty level. The distance to empty is then reported to the driver.
    Type: Grant
    Filed: August 13, 2024
    Date of Patent: July 14, 2026
    Assignee: Intangles Lab Pvt. Ltd.
    Inventors: Ravikant Itare, Aman Singh, Pushkar Nimkar, Manav Chordia, Khushdeep Nagi, Pushkar Deshpande, Mukund Nagare, Bhushan Dayaram Patil, Hariharan Ravishankar, Vikram Reddy Melapudi, Abhijit Vishwas Patil
  • METHOD AND SYSTEM FOR DETERMINING A DISTANCE-TO-EMPTY CHARGE IN AN ELECTRIC VEHICLE
    Publication number: 20260051201
    Abstract: Methods and Systems are provided for predicting a distance until the batter in an electric vehicle is discharged. Vehicle and geophysical data are received and formatted in n epochs over a time period T. For each epoch, an epoch data structure including a total energy consumption rate, a state of charge rate, and a distance rate is generated. The epochs are processed using a vector autoregression model to generate a predicted epoch data structure. A predicted state of charge is calculated using a state of charge model. A predicted distance traveled in the next epoch is calculated. A predicted charge to empty is calculated and checked to determine if the predicted charge to empty has reached an empty level. The process is repeated until the predicted charge to empty reaches an empty level. The distance to empty is then reported to the driver.
    Type: Application
    Filed: August 13, 2024
    Publication date: February 19, 2026
    Inventors: Ravikant ITARE, Aman SINGH, Pushkar NIMKAR, Manav CHORDIA, Khushdeep NAGI, Pushkar DESHPANDE, Mukund NAGARE, Bhushan DAYARAM PATIL, Hariharan RAVISHANKAR, Vikram REDDY MELAPUDI, Abhijit VISHWAS PATIL