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  Published Paper Details:

  Paper Title

MODEL PREDICTIVE CONTROLLER BASED HIGH GAIN DUAL INPUT SINGLE OUTPUT Z-QUASI RESONANT DCDC CONVERTER FOR OFF-BOARD EV CHARGING

  Authors

  J.Aparna,  Dr.T.Suresh Padmanabhan

  Keywords

ZQR community, DC/ DC converters, MPC and LED lighting.

  Abstract


This art work focuses on a multi-port model predictive controller grounded completely non-isolated (Binary enter and single output) DC/ DC power digital interface grounded on Z- Quasi Resonant (ZQR) community. The motor includes grid and photovoltaic panel (PV) as its input means. Unlike the primary DC/ DC converter, the supported DC/ DC motor calls for smaller switches and gives nonstop slice- edge- day, high benefit in voltage, and minimum voltage stress on motor transfer as lots as 40 obligation cycle thanks to the presence of ZQR community. This specific of the motor makes it to and its software program in electric powered auto (EV) off- board charging wherein inordinate voltage benefit is demanded. In the proposed multi-port ZQR motor, fresh input and affair anchorages could be added without compromising the motor's benefit and overall performance. The evolved motor can characteristic constantly despite the fact that someone of the input things fails to rate the EV. The proposed motor is mathematically modeled the operation of abecedarian felonious pointers that govern the motor average overall performance and anatomized in MATLAB/ Simulink platform underneath colorful operating modes.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2305316

  Paper ID - 236525

  Page Number(s) - c412-c420

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  J.Aparna,  Dr.T.Suresh Padmanabhan,   "MODEL PREDICTIVE CONTROLLER BASED HIGH GAIN DUAL INPUT SINGLE OUTPUT Z-QUASI RESONANT DCDC CONVERTER FOR OFF-BOARD EV CHARGING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.c412-c420, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305316.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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