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公开(公告)号:US20230202327A1
公开(公告)日:2023-06-29
申请号:US18175931
申请日:2023-02-28
Applicant: Siddharth Suhas Kulkarni , Akanksha Vyas , Reena Singh
Inventor: Siddharth Suhas Kulkarni , Akanksha Vyas , Reena Singh
CPC classification number: B60L53/55 , B60L58/18 , B60L2210/40
Abstract: The present invention generally relates to an electric vehicle hybrid charging system comprises first bank and a second bank of series connected switches an interconnected in between an input voltage terminal and a reference voltage terminal in a series connection; a plurality of switched capacitors (SCs) having a first terminal interconnected between two adjacent switches of the first bank and a second capacitor terminal interconnected between two adjacent switches of the second bank; and a controller having a first frequency by controlling the plurality of switch pairs such that each switch pair is switched at staggered times relating to other plurality of switch pairs during a periodic switching cycle, wherein each switch pair consists of a switch from the first bank and a switch from the second bank, and the periodic switching cycle has a second frequency that is higher than the first frequency.
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公开(公告)号:US20220009370A1
公开(公告)日:2022-01-13
申请号:US17384711
申请日:2021-07-24
Applicant: Siddharth Suhas Kulkarni , Prof. Rakesh Kumar Dwivedi , Danish Ather , Bijoy Goswami , Gaurang Vasantlal Shah , Neeraj Milind Shahane , Shridhar Dhulappa Kambale , Avi Avelino Noronha , Mihir Velapure , Biplab Kumar Sarkar
Inventor: Siddharth Suhas Kulkarni , Prof. Rakesh Kumar Dwivedi , Danish Ather , Bijoy Goswami , Gaurang Vasantlal Shah , Neeraj Milind Shahane , Shridhar Dhulappa Kambale , Avi Avelino Noronha , Mihir Velapure , Biplab Kumar Sarkar
Abstract: The present invention relates to device for electrical Vehicle may be a Negative impact from the dominant use of petroleum-based transportation have propelled the world towards electrified transportation. With this thrust, several technological challenges are being encountered and addressed, one among that is that the development and convenience of fast-changing technologies. To vie with petroleum-based transportation, electrical vehicle (EV) battery charging times have to be compelled to decrease to the 5-10 min vary. The invention projected the look of a system to make and handle electrical Vehicles (EV) charging procedures, supported intelligent method. because of the power distribution network limitation and absence of sensible meter devices, electrical Vehicles charging ought to be performed in an exceedingly balanced manner, taking under consideration past expertise, weather info supported data processing, and simulation approaches. so as to permit info exchange and to assist user quality, it had been conjointly created a mobile application to help the heat unit driver on these processes. This fictional sensible electrical Vehicle Charging System uses Vehicle-to-Grid (V2G) technology, so as to attach electrical Vehicles and conjointly renewable energy sources to sensible Grids (SG). this technique conjointly explores the new paradigm of Electrical Markets (EM), with release of electricity production and use, so as to get the simplest conditions for commercializing voltage.
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公开(公告)号:US20230351075A1
公开(公告)日:2023-11-02
申请号:US18184384
申请日:2023-03-15
Applicant: Siddharth Suhas Kulkarni , Anil Ramchandra Acharya , Reena Singh
Inventor: Siddharth Suhas Kulkarni , Anil Ramchandra Acharya , Reena Singh
Abstract: The system for designing advanced Kaplan turbine-based on advanced blade design of a hydro powered turbine comprises an EES for calculating and determining a set of parameters involved in the designing of Kaplan turbine blade; a designing user interface for designing a 3d-model of the Kaplan turbine blade; an analyzing unit for CFD analysis of the turbine models on based on the K-omega turbulent model with a Y+ of 1, wherein the turbulent model is used to ensure the near wall function of water and the rotational pressure applied on the blades thereby generating results of the analysis using CFD post and plotted on a table for the comparative study of the blade models; and a manufacturing unit for manufacturing Kaplan turbine blade based on comparative study of the blade models using a machine learning approach.
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