公开(公告)号：US20180330300A1

公开(公告)日：2018-11-15

申请号：US15978845

申请日：2018-05-14

Applicant: TATA CONSULTANCY SERVICES LIMITED

Inventor： Venkataramana RUNKANA ,  Rohan Pandya ,  Rajan Kumar ,  Aniruddha Panda ,  Mahesh Mynam ,  Harsha Nistala ,  Pradeep Rathore ,  Jayasree Biswas

IPC: G06Q10/06 ,  G06F17/18 ,  G05B15/02 ,  G05B17/02

CPC classification number: G06Q10/06393 ,  G05B15/02 ,  G05B17/02 ,  G06F17/18 ,  G06Q10/06

Abstract: A system and method for performing data-based optimization of performance indicators of process and manufacturing plants. The system consists of modules for collecting and merging data from industrial processing units, pre-processing the data to remove outliers and missingness. Further, the system generates customized outputs from data and identifies important variables that affect a given process performance indicator. The system also builds predictive models for key performance indicators comprising the important features and determines operating points for optimizing the key performance indicators with minimum user intervention. In particular, the system receives inputs from users on the key performance indicators to be optimized and notifies the users of outputs from various steps in the analysis that help the users to effectively manage the analysis and take appropriate operational decisions.

公开(公告)号：US11515013B2

公开(公告)日：2022-11-29

申请号：US16834895

申请日：2020-03-30

Applicant: Tata Consultancy Services Limited

Inventor： Bharath Ravikumar ,  Beena Rai ,  Mahesh Mynam ,  Sravani Repaka ,  Surbhikumari Ashutosh Kumar

IPC: G16C20/60 ,  G16C20/50 ,  G06F30/20 ,  H01M10/056

Abstract: Owing to complexity of the algorithms and tools very few attempts have been seen for usage of simulation methods in the development of new electrolytes. Moreover, the existing simulation methods focus on only one aspect of the electrolyte at a time and this limits accuracy of simulation results, and affects performance of electrolyte in real world, where multiple factors come into play simultaneously. The method disclosed provides method and system for in-silico optimization and design of electrolytes, enabling prediction of various properties of an electrolytic mixture of salts, solvents and various additives and its suitability for a given battery technology. The in-silico method shapes itself into an overall battery electrolyte property or component composition analyzer based on the user input.

公开(公告)号：US11300623B2

公开(公告)日：2022-04-12

申请号：US15929522

申请日：2020-05-07

Applicant: Tata Consultancy Services Limited

Inventor： Kaustubh Rajendra Badwekar ,  Naga Neehar Dingari ,  Mahesh Mynam ,  Beena Rai

IPC: G01R31/392 ,  G01R31/3842 ,  G01R31/367 ,  G01R31/385 ,  G01R31/382

Abstract: This disclosure relates generally to relates to the field of estimation of remaining useful life (RUL) in lithium based batteries, and, more particularly, to estimation of remaining useful life in lithium based batteries based on coupled estimation of a state of charge (SOC) and a state of health (SOH) during charging/discharging in constant current (CC) and constant voltage (CV) modes. The disclosed RUL estimation technique considers the inter-dependency of SOC-SOH and influence of internal-external parameters/factors during the coupled estimation of SOC-SOH. The coupled estimation of SOC and SOH is based on a reduced order physics based modelling technique and considers the influence real time environment obtained using real-time dynamic data obtained by several sensors during the coupled estimation of SOC-SOH.