Patents by Inventor Prashanth Ramesh

Prashanth Ramesh 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: 20250121735
    Abstract: A method for designing an accelerated battery aging testing protocol from battery electric vehicle usage data is provided. An initial search space database is created based on a collection of vehicle usage data. The usage data includes current demand over a first timeframe. Data compression is performed including classifying the database into specific segments representing use events. A synthetic profile is generated including a sequence of elements having a battery current and a battery state of charge (SOC) for selected segments of the specific segments. An optimization for accelerated aging of the battery is defined. A genetic algorithm (GA) is executed that generates the accelerated battery aging testing protocol requiring a second timeframe, shorter than the first timeframe, based on the optimization.
    Type: Application
    Filed: October 11, 2023
    Publication date: April 17, 2025
    Inventors: Satyam Panchal, Guang Chen, Massimo Cancian, Marcello Canova, Xiaoling Chen, Faissal El Idrissi, Prashanth Ramesh
  • Patent number: 12242958
    Abstract: A system for issue prediction based on multidimensional data analysis includes a model generator that receives a resolved data item relating to a service issue. The resolved data item includes different attributes corresponding to multiple data dimensions and adjusts a population of attributes based on a statistical data model and a deep learning data model operating independent of each other. The statistical data model operates on the attributes for providing a predictive feature and the deep learning data model operates on the attributes for providing a predictive label based on performance metrics related to the data dimensions. The predictive feature and the predictive label collectively define training data. The model generator also trains a classification model based on the training data for predicting a potential issue related to an unresolved data item. The trained data model provides a trigger based on the potential issue being related to the performance metrics.
    Type: Grant
    Filed: December 21, 2020
    Date of Patent: March 4, 2025
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Anindya Dutt, Kamalesh Kuppusamy Kuduva, Prashanth Ramesh, Siddesha Swamy, Mohd Israil Khan, Ankur Narain, Kumar Viswanathan
  • Publication number: 20220198259
    Abstract: A system for issue prediction based on multidimensional data analysis includes a model generator that receives a resolved data item relating to a service issue. The resolved data item includes different attributes corresponding to multiple data dimensions and adjusts a population of attributes based on a statistical data model and a deep learning data model operating independent of each other. The statistical data model operates on the attributes for providing a predictive feature and the deep learning data model operates on the attributes for providing a predictive label based on performance metrics related to the data dimensions. The predictive feature and the predictive label collectively define training data. The model generator also trains a classification model based on the training data for predicting a potential issue related to an unresolved data item. The trained data model provides a trigger based on the potential issue being related to the performance metrics.
    Type: Application
    Filed: December 21, 2020
    Publication date: June 23, 2022
    Applicant: Accenture Global Solutions Limited
    Inventors: Anindya Dutt, Kamalesh Kuppusamy Kuduva, Prashanth Ramesh, Siddesha Swamy, Mohd Israil Khan, Ankur Narain, Kumar Viswanathan