Paper Title

Simulation and Analysis of Isolated Converter for on board charger

Article Identifiers

Registration ID: IJNRD_205302

Published ID: IJNRD2309152

DOI: Click Here to Get

Authors

Deepti Singh , Neeraj

Keywords

Converter, Isolation, controller, Electric Vehicle (EV).

Abstract

This research paper introduces an isolated converter with power factor correction mainly designed for electric vehicles (EVs). EVs, which utilize rechargeable batteries instead of internal combustion engines, offer a greener alternative to traditional fossil fuel-based vehicles. The proposed isolated converter (IC) provides continuous output current and ensures isolation from input to output. By grasping the low on-state resistance of the main switch, this converter effectively minimizes switch losses. Additionally, the converter achieves a high voltage gain at the output, resulting in improved efficiency compared to a standard converter. Moreover, electric vehicles offer the advantages of reduced greenhouse emissions and lower overall costs. This study contributes to the development of efficient and cost-effective power conversion systems for electric vehicles, promoting sustainable transportation and mitigating environmental impact

How To Cite (APA)

Deepti Singh & Neeraj (September-2023). Simulation and Analysis of Isolated Converter for on board charger. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), b440-b446. https://ijnrd.org/papers/IJNRD2309152.pdf

Issue

Volume 8 Issue 9, September-2023

Pages : b440-b446

Other Publication Details

Paper Reg. ID: IJNRD_205302

Published Paper Id: IJNRD2309152

Downloads: 000121975

Research Area: Electrical Engineering 

Country: Rohini, Delhi, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309152.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309152

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

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