Designing Flexible Charging Optimization for Electrical Vehicles: A Review

Umesh , Sunil Kumar Mahapatro , Dr. Parmod Sharma

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Hybrid Electric Vehicles (HEV) are expected as one of the key solutions for mobility in the future, with reduced pollutions and better fuel economy alternative. Hence one of the primary requirements for the automobile manufacturers has to come up with alternative modern vehicle design technologies that could support reduced pollution and improved useful energy efficiency. With the year on year increase on the number of the light-duty vehicles on road, the effect of emissions polluting the environment is also proportionally increasing. Although the use of other modes of transport like the ships and flights are increasing, the road transport mode will still continue to be the prominent one. Basically, there are three main concerns in driving the conventional fossil fuel based vehicles that stimulates the automobile manufacturers to look for an alternative mode of vehicle technologies. They are pollution of the environment, vehicle dependency on fossil fuel, which is non-renewable and the global warming effect due to emissions. There are several research agencies which are working on improving road transport vehicle efficiency and reducing the emissions.

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"Designing Flexible Charging Optimization for Electrical Vehicles: A Review", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 12, page no.525 - 529, December-2022, Available :https://ijsdr.org/papers/IJSDR2212080.pdf

Volume 7 Issue 12, December-2022

Pages : 525 - 529

Paper Reg. ID: IJSDR_203091

Published Paper Id: IJSDR2212080

Downloads: 000347208

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2212080

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2212080

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 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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