UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 9 Issue 11
November-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2211060


Registration ID:
504010

Page Number

a526-a531

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Title

POWER QUALITY IN EVS WITH CASCADED MULTILEVEL INVERTER BY INTELLIGENT METHODS

Abstract

Power transmission is a technique that uses power electronic circuits for communication signal transmission. In this paper, a three-phase cascaded multilevel inverter-based power transmission system is proposed. The proposed method can transmit communication signals without using a Controller Area Network bus, thereby reducing the wiring cost of the conventional electric vehicle (EV) communication system. The designed system can achieve motor speed regulation and battery balance discharging for EVs. This paper presents a Cascaded Multilevel Inverter with ANN (Artificial Neural Network) controller. The EV setup consists of a rectifier (AC/DC) in the front end and a converter (DC/DC) at the back end, with a DC link capacitor separating the converter and rectifier. The structure of the charger enables the capability of voltage control of the grid, due to its bidirectional flow of power. The effectiveness of ANN-based charger in grid voltage regulation in various modes of charging and discharging operations of Electric Vehicles (EV’s).

Key Words

Battery state of charge, controller area network, frequency shift keying, motor speed control, pulse width modulation, three-phase DC-AC converter.

Cite This Article

"POWER QUALITY IN EVS WITH CASCADED MULTILEVEL INVERTER BY INTELLIGENT METHODS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.a526-a531, November-2022, Available :http://www.jetir.org/papers/JETIR2211060.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"POWER QUALITY IN EVS WITH CASCADED MULTILEVEL INVERTER BY INTELLIGENT METHODS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppa526-a531, November-2022, Available at : http://www.jetir.org/papers/JETIR2211060.pdf

Publication Details

Published Paper ID: JETIR2211060
Registration ID: 504010
Published In: Volume 9 | Issue 11 | Year November-2022
DOI (Digital Object Identifier):
Page No: a526-a531
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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