The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 18, 2021

Filed:

May. 15, 2018
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Arvind Ramanujam, Taramani, IN;

Pandeeswari Sankaranarayanan, Taramani, IN;

Arunchandar Vasan, Taramani, IN;

Rajesh Jayaprakash, Taramani, IN;

Venkatesh Sarangan, Taramani, IN;

Anand Sivasubramaniam, Taramani, IN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 30/15 (2020.01); B60L 53/67 (2019.01); B60L 53/68 (2019.01); B60L 53/63 (2019.01); G06F 30/20 (2020.01);
U.S. Cl.
CPC ...
G06F 30/15 (2020.01); B60L 53/63 (2019.02); B60L 53/67 (2019.02); B60L 53/68 (2019.02); G06F 30/20 (2020.01); B60L 2240/70 (2013.01); B60L 2260/50 (2013.01); B60L 2260/52 (2013.01); B60L 2260/54 (2013.01); B60L 2260/58 (2013.01); Y02T 10/70 (2013.01); Y02T 10/7072 (2013.01); Y02T 10/72 (2013.01); Y02T 90/12 (2013.01); Y02T 90/16 (2013.01); Y02T 90/167 (2013.01); Y04S 10/126 (2013.01); Y04S 30/12 (2013.01);
Abstract

Method and system for predicting temporal-spatial distribution of load demand on an electric grid due to a plurality of Electric Vehicles (EVs) is described. The method includes creating an EV load demand (EVLD) model for a Region of Interest (ROI) serviced by the electric grid, wherein the EVLD model integrates an EV model and a transport simulator simulating EV traffic conditions for the ROI. Further, the method includes computing the load demand in time and space in terms of State of Charge (SOC) of a battery for each EV among the plurality of EVs in the ROI, based on the EVLD model. Furthermore, the method includes aggregating the computed the load demand, in terms of the SOC, of each EV in time domain and space domain to create a temporal-spatial impact of the load demand by the plurality of EVs on the electric grid for the ROI.


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